Bayesian Workflow Example (Police Officer’s Dilemma)¶
[ ]:
# Author: jake-westfall
# Created At: Mar 29, 2017
# Last Run: Mar 27, 2019
[1]:
import bambi as bmb
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
Here we will analyze a dataset from experimental psychology in which a sample of 36 human participants engaged in what is called the shooter task, yielding 3600 responses and reaction times (100 from each subject). The link above gives some more information about the shooter task, but basically it is a sort of crude first-person-shooter video game in which the subject plays the role of a police officer. The subject views a variety of urban scenes, and in each round or “trial” a person or “target” appears on the screen after some random interval. This person is either Black or White (with 50% probability), and they are holding some object that is either a gun or some other object like a phone or wallet (with 50% probability). When a target appears, the subject has a very brief response window – 0.85 seconds in this particular experiment – within which to press one of two keyboard buttons indicating a “shoot” or “don’t shoot” response. Subjects receive points for correct and timely responses in each trial; subjects’ scores are penalized for incorrect reponses (i.e., shooting an unarmed person or failing to shoot an armed person) or if they don’t respond within the 0.85 response window. The goal of the task, from the subject’s perspective, is to maximize their score.
The typical findings in the shooter task are that (a) subjects are quicker to respond to armed targets than to unarmed targets, but are especially quick toward armed black targets and especially slow toward unarmed black targets, and (b) subjects are more likely to shoot black targets than white targets, whether they are armed or not.
Load and examine data¶
[2]:
shooter = pd.read_csv('data/shooter.csv', na_values='.')
shooter.head(10)
[2]:
| subject | target | trial | race | object | time | response | |
|---|---|---|---|---|---|---|---|
| 0 | 1 | w05 | 19 | white | nogun | 658.0 | correct |
| 1 | 2 | b07 | 19 | black | gun | 573.0 | correct |
| 2 | 3 | w05 | 19 | white | gun | 369.0 | correct |
| 3 | 4 | w07 | 19 | white | gun | 495.0 | correct |
| 4 | 5 | w15 | 19 | white | nogun | 483.0 | correct |
| 5 | 6 | w96 | 19 | white | nogun | 786.0 | correct |
| 6 | 7 | w13 | 19 | white | nogun | 519.0 | correct |
| 7 | 8 | w06 | 19 | white | nogun | 567.0 | correct |
| 8 | 9 | b14 | 19 | black | gun | 672.0 | incorrect |
| 9 | 10 | w90 | 19 | white | gun | 457.0 | correct |
The design of the experiment is such that the subject, target, and object (i.e., gun vs. no gun) factors are fully crossed: each subject views each target twice, once with a gun and once without a gun.
[3]:
pd.crosstab(shooter['subject'], [shooter['target'], shooter['object']])
[3]:
| target | b01 | b02 | b03 | b04 | b05 | ... | w95 | w96 | w97 | w98 | w99 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| object | gun | nogun | gun | nogun | gun | nogun | gun | nogun | gun | nogun | ... | gun | nogun | gun | nogun | gun | nogun | gun | nogun | gun | nogun |
| subject | |||||||||||||||||||||
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 4 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 6 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 7 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 8 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 9 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 11 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 12 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 13 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 14 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 15 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 16 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 17 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 18 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 19 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 20 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 21 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 22 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 23 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 24 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 25 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 26 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 27 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 28 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 29 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 30 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 31 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 32 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 33 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 34 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 35 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 36 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
36 rows × 100 columns
The response speeds on each trial are recorded given as reaction times (milliseconds per response), but here we invert them to and multiply by 1000 so that we are analyzing response rates response rates (responses per second). There is no theoretical reason to prefer one of these metrics over the other, but it turns out that response rates tend to have nicer distributional properties than reaction times (i.e., deviate less strongly from the standard Gaussian assumptions), so response rates will be a little more convenient for us by allowing us to use some fairly standard distributional models.
[4]:
shooter['rate'] = 1000.0/shooter['time']
[5]:
plt.hist(shooter['rate'].dropna());
Fit response rate models¶
Random subject effects only¶
Our first model is analogous to how the data from the shooter task are usually analyzed: incorporating all subject-level sources of variability, but ignoring the sampling variability due to the sample of 50 targets. This is a Bayesian generalized linear mixed model (GLMM) with a Normal response and with intercepts and slopes that vary randomly across subjects. Of note here is the C(x, Sum) syntax, which is from the Patsy library
that we use to parse formulae. This instructs Bambi to use contrast codes of -1 and +1 for the two levels of each of the fixed factors of race (black vs. white) and object (gun vs. no gun), so that the race and object coefficients can be interpreted as simple effects on average across the levels of the other factor (directly analogous, but not quite equivalent, to the main effects). This is the standard coding used in ANOVA.
[6]:
subj_model = bmb.Model(shooter, dropna=True)
subj_fitted = subj_model.fit('rate ~ C(race, Sum)*C(object, Sum)',
random=['C(race, Sum)*C(object, Sum)|subject'],
samples=1000)
/home/osvaldo/proyectos/00_PyMC3/bambi/bambi/models.py:135: UserWarning: Automatically removing 98/3600 rows from the dataset.
warnings.warn(msg)
Auto-assigning NUTS sampler...
INFO:pymc3:Auto-assigning NUTS sampler...
Initializing NUTS using jitter+adapt_diag...
INFO:pymc3:Initializing NUTS using jitter+adapt_diag...
Sequential sampling (2 chains in 1 job)
INFO:pymc3:Sequential sampling (2 chains in 1 job)
NUTS: [rate_sd, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_offset, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_sd, C(object, Sum)[S.gun]|subject_offset, C(object, Sum)[S.gun]|subject_sd, C(race, Sum)[S.black]|subject_offset, C(race, Sum)[S.black]|subject_sd, 1|subject_offset, 1|subject_sd, C(race, Sum):C(object, Sum), C(object, Sum), C(race, Sum), Intercept]
INFO:pymc3:NUTS: [rate_sd, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_offset, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_sd, C(object, Sum)[S.gun]|subject_offset, C(object, Sum)[S.gun]|subject_sd, C(race, Sum)[S.black]|subject_offset, C(race, Sum)[S.black]|subject_sd, 1|subject_offset, 1|subject_sd, C(race, Sum):C(object, Sum), C(object, Sum), C(race, Sum), Intercept]
100%|██████████| 1500/1500 [00:37<00:00, 40.54it/s]
100%|██████████| 1500/1500 [00:30<00:00, 49.81it/s]
The acceptance probability does not match the target. It is 0.8890993152581602, but should be close to 0.8. Try to increase the number of tuning steps.
WARNING:pymc3:The acceptance probability does not match the target. It is 0.8890993152581602, but should be close to 0.8. Try to increase the number of tuning steps.
The number of effective samples is smaller than 25% for some parameters.
INFO:pymc3:The number of effective samples is smaller than 25% for some parameters.
First let’s visualize the default priors that Bambi automatically decided on for each of the parameters. We do this by calling the .plot() method of the Model object.
[7]:
subj_model.plot();
The priors on the fixed effects seem quite reasonable. Recall that because of the -1 vs +1 contrast coding, the coefficients correspond to half the difference betwen the two levels of each factor. So the priors on the fixed effects essentially say that the black vs. white and gun vs. no gun (and their interaction) response rate differences are very unlikely to be as large as a full response per second. The priors on the standard deviations of the random effects are yoked to the corresponding fixed effect priors (see our technical paper for more info).
Now let’s visualize the model estimates. We do this by calling the .plot() method of the MCMCResults object that resulted from our call to Model.fit().
[8]:
subj_fitted.plot();
Each distribution in the plots above has 4 densities because we used 4 MCMC chains, so we are viewing the results of all 4 chains prior to their aggregation. The main message from the plot above is that the chains all seem to have converged well and the resulting posterior distributions all look quite reasonable. It’s a bit easier to digest all this information in a concise, tabular form, which we can get by calling the .summary() method of the MCMCResults object.
[9]:
subj_fitted.summary()
[9]:
| mean | sd | hpd0.95_lower | hpd0.95_upper | effective_n | gelman_rubin | |
|---|---|---|---|---|---|---|
| Intercept | 1.706454 | 0.014888 | 1.675192 | 1.734059 | 226.399552 | 0.999985 |
| C(race, Sum)[S.black] | -0.001038 | 0.004234 | -0.009271 | 0.007417 | 2280.982230 | 0.999576 |
| C(object, Sum)[S.gun] | 0.093288 | 0.006483 | 0.080480 | 0.105729 | 863.553658 | 1.001336 |
| C(race, Sum)[S.black]:C(object, Sum)[S.gun] | 0.023482 | 0.004193 | 0.015967 | 0.032147 | 1945.530978 | 0.999560 |
| rate_sd | 0.239588 | 0.002806 | 0.234192 | 0.244993 | 2845.975554 | 0.999624 |
| 1|subject_sd | 0.082082 | 0.011373 | 0.060503 | 0.104419 | 446.643116 | 0.999618 |
| C(object, Sum)[S.gun]|subject_sd | 0.027046 | 0.006257 | 0.014740 | 0.039446 | 422.379652 | 1.004141 |
| C(race, Sum)[S.black]|subject_sd | 0.005421 | 0.004241 | 0.000008 | 0.013772 | 1323.939261 | 0.999638 |
| C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_sd | 0.005329 | 0.004031 | 0.000008 | 0.013117 | 1185.523144 | 0.999610 |
The take-home message from the analysis seems to be that we do find evidence for the usual finding that subjects are especially quick to respond (presumably with a shoot response) to armed black targets and especially slow to respond to unarmed black targets (while unarmed white targets receive “don’t shoot” responses with less hesitation). We see this in the fact that the marginal posterior for the C(race, Sum)[S.black]:C(object, Sum)[S.gun] interaction coefficient is concentrated strongly
away from 0.
Random stimulus effects¶
A major flaw in the analysis above is that random stimulus effects are ignored. The model does include random effects for subjects, reflecting the fact that the subjects we observed are but a sample from the broader population of subjects we are interested in and that potentially could have appeared in our study. But the targets we observed – the 50 photographs of white and black men that subjets responded to – are also but a sample from the broader theoretical population of targets we are interested in talking about, and that we could have just as easily and justifiably used as the experimental stimuli in the study. Since the stimuli comprise a random sample, they are subject to sampling variability, and this sampling variability should be accounted in the analysis by including random stimulus effects. For some more information on this, see here, particularly pages 62-63.
To account for this, we let the intercept and object slope vary randomly across targets. Random object slopes across targets are possible because, if you recall, the design of the study was such that each target gets viewed twice by each subject, once with a gun and once without a gun. However, because each target is always either white or black, it’s not possible to add random slopes for the race factor or the interaction.
[10]:
stim_model = bmb.Model(shooter, dropna=True)
stim_fitted = stim_model.fit('rate ~ C(race, Sum)*C(object, Sum)',
random=['C(race, Sum)*C(object, Sum)|subject',
'C(object, Sum)|target'],
samples=1000)
/home/osvaldo/proyectos/00_PyMC3/bambi/bambi/models.py:135: UserWarning: Automatically removing 98/3600 rows from the dataset.
warnings.warn(msg)
Auto-assigning NUTS sampler...
INFO:pymc3:Auto-assigning NUTS sampler...
Initializing NUTS using jitter+adapt_diag...
INFO:pymc3:Initializing NUTS using jitter+adapt_diag...
Sequential sampling (2 chains in 1 job)
INFO:pymc3:Sequential sampling (2 chains in 1 job)
NUTS: [rate_sd, C(object, Sum)[S.gun]|target_offset, C(object, Sum)[S.gun]|target_sd, 1|target_offset, 1|target_sd, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_offset, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_sd, C(object, Sum)[S.gun]|subject_offset, C(object, Sum)[S.gun]|subject_sd, C(race, Sum)[S.black]|subject_offset, C(race, Sum)[S.black]|subject_sd, 1|subject_offset, 1|subject_sd, C(race, Sum):C(object, Sum), C(object, Sum), C(race, Sum), Intercept]
INFO:pymc3:NUTS: [rate_sd, C(object, Sum)[S.gun]|target_offset, C(object, Sum)[S.gun]|target_sd, 1|target_offset, 1|target_sd, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_offset, C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_sd, C(object, Sum)[S.gun]|subject_offset, C(object, Sum)[S.gun]|subject_sd, C(race, Sum)[S.black]|subject_offset, C(race, Sum)[S.black]|subject_sd, 1|subject_offset, 1|subject_sd, C(race, Sum):C(object, Sum), C(object, Sum), C(race, Sum), Intercept]
100%|██████████| 1500/1500 [00:55<00:00, 27.17it/s]
100%|██████████| 1500/1500 [01:06<00:00, 22.68it/s]
The number of effective samples is smaller than 25% for some parameters.
INFO:pymc3:The number of effective samples is smaller than 25% for some parameters.
Now let’s look at the results…
[11]:
stim_fitted.plot();
[12]:
stim_fitted.summary()
[12]:
| mean | sd | hpd0.95_lower | hpd0.95_upper | effective_n | gelman_rubin | |
|---|---|---|---|---|---|---|
| Intercept | 1.705305 | 0.019252 | 1.665533e+00 | 1.742090 | 363.097201 | 1.014171 |
| C(race, Sum)[S.black] | -0.000453 | 0.013354 | -2.699591e-02 | 0.025199 | 489.753706 | 0.999520 |
| C(object, Sum)[S.gun] | 0.093226 | 0.014385 | 6.767614e-02 | 0.123486 | 596.887401 | 1.002853 |
| C(race, Sum)[S.black]:C(object, Sum)[S.gun] | 0.025042 | 0.013708 | -1.711294e-03 | 0.052014 | 382.279015 | 0.999708 |
| rate_sd | 0.205430 | 0.002558 | 2.008772e-01 | 0.210494 | 2026.029803 | 0.999527 |
| 1|target_sd | 0.089484 | 0.009849 | 7.154672e-02 | 0.110000 | 486.556351 | 1.008685 |
| 1|subject_sd | 0.084243 | 0.011033 | 6.480917e-02 | 0.105307 | 472.617951 | 1.000823 |
| C(object, Sum)[S.gun]|target_sd | 0.091220 | 0.010418 | 7.320143e-02 | 0.112377 | 354.872613 | 1.019551 |
| C(object, Sum)[S.gun]|subject_sd | 0.029885 | 0.005827 | 1.952300e-02 | 0.042239 | 540.141232 | 1.000889 |
| C(race, Sum)[S.black]|subject_sd | 0.005792 | 0.004213 | 4.197146e-06 | 0.013768 | 865.762101 | 0.999698 |
| C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_sd | 0.005700 | 0.004134 | 2.709351e-07 | 0.013781 | 977.998067 | 0.999506 |
There are two interesting things to note here. The first is that the key interaction effect, C(race, Sum)[S.black]:C(object, Sum)[S.gun] is much less clear now. The marginal posterior is still mostly concentrated away from 0, but there’s certainly a nontrivial part that overlaps with 0; 3.2% of the distribution, to be exact.
[13]:
(stim_fitted['C(race, Sum):C(object, Sum)'].to_df() < 0).mean()
[13]:
C(race, Sum)[S.black]:C(object, Sum)[S.gun] 0.04
dtype: float64
The second interesting thing is that the two new variance components in the model, those associated with the random stimulus effects, are actually rather large. This actually largely explains the first fact above, since if these where estimated to be close to 0 anyway, the model estimates wouldn’t be much different than they were in the subj_model. It makes sense that there is a strong tendency for different targets to elicit difference reaction times on average, which leads to a large
estimate of 1|target_sd. Less obviously, the large estimate of C(object, Sum)[S.gun]|target_sd (targets tend to vary a lot in their response rate differences when they have a gun vs. some other object) also makes sense, because in this experiment, different targets were pictured with different non-gun objects. Some of these objects, such as a bright red can of Coca-Cola, are not easily confused with a gun, so subjects are able to quickly decide on the correct response. Other objects,
such as a black cell phone, are possibly easier to confuse with a gun, so subjects take longer to decide on the correct response when confronted with this object. Since each target is yoked to a particular non-gun object, there is good reason to expect large target-to-target variability in the object effect, which is indeed what we see in the model estimates.
Fit response models¶
Here we seek evidence of the second traditional finding, that subjects are more likely to response ‘shoot’ toward black targets than toward white targets, regardless of whether they are armed or not. Currently the dataset just records whether the given response was correct or not, so first we transformed this into whether the response was ‘shoot’ or ‘dontshoot’.
[14]:
shooter['shoot_or_not'] = shooter['response'].astype(str)
# armed targets
new_vals = {'correct': 'shoot', 'incorrect':'dontshoot', 'timeout': np.nan}
shooter['shoot_or_not'][shooter['object']=='gun'] = \
shooter['response'][shooter['object']=='gun'].astype(str).replace(new_vals)
# unarmed targets
new_vals = {'correct': 'dontshoot', 'incorrect':'shoot', 'timeout': np.nan}
shooter['shoot_or_not'][shooter['object']=='nogun'] = \
shooter['response'][shooter['object']=='nogun'].astype(str).replace(new_vals)
# view result
shooter.head(20)
/home/osvaldo/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
/home/osvaldo/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
# Remove the CWD from sys.path while we load stuff.
[14]:
| subject | target | trial | race | object | time | response | rate | shoot_or_not | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | w05 | 19 | white | nogun | 658.0 | correct | 1.519757 | dontshoot |
| 1 | 2 | b07 | 19 | black | gun | 573.0 | correct | 1.745201 | shoot |
| 2 | 3 | w05 | 19 | white | gun | 369.0 | correct | 2.710027 | shoot |
| 3 | 4 | w07 | 19 | white | gun | 495.0 | correct | 2.020202 | shoot |
| 4 | 5 | w15 | 19 | white | nogun | 483.0 | correct | 2.070393 | dontshoot |
| 5 | 6 | w96 | 19 | white | nogun | 786.0 | correct | 1.272265 | dontshoot |
| 6 | 7 | w13 | 19 | white | nogun | 519.0 | correct | 1.926782 | dontshoot |
| 7 | 8 | w06 | 19 | white | nogun | 567.0 | correct | 1.763668 | dontshoot |
| 8 | 9 | b14 | 19 | black | gun | 672.0 | incorrect | 1.488095 | dontshoot |
| 9 | 10 | w90 | 19 | white | gun | 457.0 | correct | 2.188184 | shoot |
| 10 | 11 | w91 | 19 | white | nogun | 599.0 | correct | 1.669449 | dontshoot |
| 11 | 12 | b17 | 19 | black | nogun | 769.0 | correct | 1.300390 | dontshoot |
| 12 | 13 | b04 | 19 | black | nogun | 600.0 | correct | 1.666667 | dontshoot |
| 13 | 14 | w17 | 19 | white | nogun | 653.0 | correct | 1.531394 | dontshoot |
| 14 | 15 | b93 | 19 | black | gun | 468.0 | correct | 2.136752 | shoot |
| 15 | 16 | w96 | 19 | white | gun | 546.0 | correct | 1.831502 | shoot |
| 16 | 17 | w91 | 19 | white | gun | 591.0 | incorrect | 1.692047 | dontshoot |
| 17 | 18 | b95 | 19 | black | gun | NaN | timeout | NaN | NaN |
| 18 | 19 | b09 | 19 | black | gun | 656.0 | correct | 1.524390 | shoot |
| 19 | 20 | b02 | 19 | black | gun | 617.0 | correct | 1.620746 | shoot |
Let’s skip straight to the correct model that includes random stimulus effects. This looks quite similiar to the stim_model from above except that we change the response to the new shoot_or_not variable – notice the [shoot] syntax indicating that we wish to model the prbability that shoot_or_not=='shoot', not shoot_or_not=='dontshoot' – and then change to family='bernoulli' to indicate a mixed effects logistic regression. Note also that we switch to the Stan backend for
model fitting here, simply by using backend='stan', because the pymc3 backend was sampling quite slowly for this model, and Stan tends to be faster.
[16]:
stim_response_model = bmb.Model(shooter.dropna())
stim_response_fitted = stim_response_model.fit(
'shoot_or_not[shoot] ~ C(race, Sum)*C(object, Sum)',
random=['C(race, Sum)*C(object, Sum)|subject',
'C(object, Sum)|target'],
samples=1500, family='bernoulli', backend='stan')
/home/osvaldo/proyectos/00_PyMC3/bambi/bambi/models.py:228: UserWarning: Modeling the probability that shoot_or_not=='shoot'
self.y.name, str(self.clean_data[self.y.name].iloc[event])))
INFO:pystan:COMPILING THE C++ CODE FOR MODEL anon_model_b3e759eb2d3e7447123475a13586fde2 NOW.
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1823:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:688:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/boost_1.66.0/boost/numeric/ublas/matrix.hpp:19:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/boost_1.66.0/boost/numeric/odeint/util/ublas_wrapper.hpp:24,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/boost_1.66.0/boost/numeric/odeint.hpp:25,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/arr.hpp:44,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:325,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:12,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/boost_1.66.0/boost/numeric/ublas/matrix_expression.hpp: In member function 'void boost::numeric::ublas::matrix_binary<E1, E2, F>::const_iterator1::increment(boost::numeric::ublas::sparse_bidirectional_iterator_tag)':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/boost_1.66.0/boost/numeric/ublas/matrix_expression.hpp:2224:17: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
if (it2_ != it2_end_)
^~
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/boost_1.66.0/boost/numeric/ublas/matrix_expression.hpp:2227:21: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
if (it2_ != it2_end_) {
^~
In file included from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:0:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp: In function 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&)':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:830:12: warning: 'template<class> class std::auto_ptr' is deprecated [-Wdeprecated-declarations]
std::auto_ptr<stan::io::var_context> init_context_ptr;
^~~~~~~~
In file included from /home/osvaldo/anaconda3/x86_64-conda_cos6-linux-gnu/include/c++/7.3.0/bits/locale_conv.h:41:0,
from /home/osvaldo/anaconda3/x86_64-conda_cos6-linux-gnu/include/c++/7.3.0/locale:43,
from /home/osvaldo/anaconda3/x86_64-conda_cos6-linux-gnu/include/c++/7.3.0/iomanip:43,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:5,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/x86_64-conda_cos6-linux-gnu/include/c++/7.3.0/bits/unique_ptr.h:51:28: note: declared here
template<typename> class auto_ptr;
^~~~~~~~
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp: In function 'PyObject* __pyx_pf_71stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980_2_call_sampler(PyObject*, PyObject*, PyObject*, PyObject*)':
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9314:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
__pyx_t_12 = ((__pyx_t_9 != __pyx_v_fitptr->param_names_oi().size()) != 0);
~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:25:12: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:72:18: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28: required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseBase<Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:80:14: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 1, -1>; Derived = Eigen::Matrix<double, 1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/to_row_vector.hpp:35:10: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:797:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28: required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Eigen::DenseBase<Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:128:26: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::Matrix<stan::math::var, -1, -1>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<stan::math::var, -1, -1>; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:278:10: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, 1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, 1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, 1>; Src = Eigen::Matrix<stan::math::var, -1, 1>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<stan::math::var, -1, 1>; Derived = Eigen::Matrix<stan::math::var, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/to_var.hpp:50:10: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, 1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, 1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, 1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, 1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, 1, -1>; Src = Eigen::Matrix<stan::math::var, 1, -1>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<stan::math::var, 1, -1>; Derived = Eigen::Matrix<stan::math::var, 1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/to_var.hpp:75:10: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:220:18: required from 'Derived& Eigen::ArrayBase<Derived>::operator/=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:273:39: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:220:18: required from 'Derived& Eigen::ArrayBase<Derived>::operator/=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:274:47: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:29:28: required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:290:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:29:28: required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:291:28: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::mul_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::mul_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28: required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:309:20: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/meta/operands_and_partials.hpp:25:21: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:29:29: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:85:22: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:112:33: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:70: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:33: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:736:7: required from 'class Eigen::internal::triangular_dense_assignment_kernel<2, 8, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:799:10: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 10; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:829:61: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:580:28: required from 'Eigen::TriangularView<MatrixType, _Mode>& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator=(const Eigen::TriangularBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 10>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:76:56: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:121:31: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:736:7: required from 'class Eigen::internal::triangular_dense_assignment_kernel<2, 8, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:799:10: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 10; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:847:61: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:560:37: required from 'Eigen::TriangularView<MatrixType, _Mode>& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:394:20: required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:397:55: required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:129:52: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; OtherDerived = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose<const Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/crossprod.hpp:17:56: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:35:79: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:105:38: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:189:68: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:190:72: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:204:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:205:70: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:363:34: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/families/normal_meanfield.hpp:324:75: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_var_estimator.hpp:37:38: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double>, 1>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Swap.h:19:7: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:736:7: required from 'class Eigen::internal::triangular_dense_assignment_kernel<2, 8, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::swap_assign_op<double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:799:10: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 10; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:847:61: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 10>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:533:22: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::swap(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 10]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:256:7: required from 'static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:288:53: required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:736:7: required from 'class Eigen::internal::triangular_dense_assignment_kernel<1, 0, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:799:10: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:847:61: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:560:37: required from 'Eigen::TriangularView<MatrixType, _Mode>& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:386:112: required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:435:40: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/to_matrix.hpp:119:18: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/read_dense_inv_metric.hpp:38:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/mcmc/covar_adaptation.hpp:29:67: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/mcmc/var_adaptation.hpp:28:78: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/DenseBase.h:406:62: required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:258:9: required from 'static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:288:53: required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:258:9: required from 'static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:288:53: required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:405:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:122:34: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:405:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:123:46: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:428:12: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_2x2.hpp:39:14: required from 'Mtype stan::math::matrix_exp_2x2(const Mtype&) [with Mtype = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:29:30: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1>, const Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:26:14: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:27:14: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::swap_assign_op<double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::swap_assign_op<double>, 1>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Swap.h:19:7: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::swap_assign_op<double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:540:11: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/NoAlias.h:42:31: required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:181:27: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:258:9: required from 'static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; bool MatchPacketSize = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:288:53: required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:73:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:57:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Transpose.h:66:5: required from 'Eigen::Transpose<MatrixType>& Eigen::Transpose<MatrixType>::operator=(const Eigen::Transpose<MatrixType>&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SolveTriangular.h:182:11: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:511:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:78:60: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::MatrixExponentialScalingOp<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:201:18: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::add_assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::add_assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::add_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::add_assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Func = Eigen::internal::add_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Func = Eigen::internal::add_assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:152:9: required from 'void Eigen::matrix_exp_pade13(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:202:24: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/NoAlias.h:42:31: required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_linesearch.hpp:242:22: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:201:36: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28: required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseBase<Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:240:17: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/NoAlias.h:42:31: required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:56:22: required from 'void stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::search_direction(stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:247:9: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/experimental/advi/fullrank.hpp:76:27: required from 'int stan::services::experimental::advi::fullrank(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1266:23: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/multiply.hpp:25:14: required from 'typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type stan::math::multiply(const Eigen::Matrix<double, R, C>&, T) [with int R = -1; int C = 1; T = double; typename boost::enable_if_c<boost::is_arithmetic<T>::value, Eigen::Matrix<double, R, C> >::type = Eigen::Matrix<double, -1, 1>]'
/tmp/tmpsce7q_wn/anon_model_b3e759eb2d3e7447123475a13586fde2.hpp:1136:53: required from 'void anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1452:7: required from 'std::vector<double> pystan::stan_fit<Model, RNG_t>::constrain_pars(std::vector<double>&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:17160:64: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:391:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/tcrossprod.hpp:20:28: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:322:21: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:333:23: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:322:21: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:352:24: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:70:22: required from 'void Eigen::matrix_exp_pade3(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:190:23: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:87:22: required from 'void Eigen::matrix_exp_pade5(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:192:23: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:106:22: required from 'void Eigen::matrix_exp_pade7(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:194:23: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > > >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:128:22: required from 'void Eigen::matrix_exp_pade9(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:196:23: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:736:7: required from 'class Eigen::internal::triangular_dense_assignment_kernel<1, 0, 1, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:799:10: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:838:89: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:432:7: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:370:25: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:473:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/GeneralProduct.h:334:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:377:34: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:355:27: required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:343:33: required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:24:62: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h:460:39: warning: enum constant in boolean context [-Wint-in-bool-context]
const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h:461:39: warning: enum constant in boolean context [-Wint-in-bool-context]
const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<double>, 1>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Swap.h:19:7: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:327:9: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:517:51: required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:664:10: required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_pos_definite.hpp:40:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/validate_dense_inv_metric.hpp:24:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::swap_assign_op<double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::swap_assign_op<double>, 1>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Swap.h:19:7: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::swap_assign_op<double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::swap_assign_op<double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:328:9: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:517:51: required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:664:10: required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_pos_definite.hpp:40:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/validate_dense_inv_metric.hpp:24:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:378:13: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:517:51: required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:664:10: required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_pos_definite.hpp:40:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/validate_dense_inv_metric.hpp:24:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/lbfgs_update.hpp:94:14: required from 'void stan::optimization::LBFGSUpdate<Scalar, DimAtCompile>::search_direction(stan::optimization::LBFGSUpdate<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::LBFGSUpdate<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:247:9: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::LBFGSUpdate<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/lbfgs.hpp:123:15: required from 'int stan::services::optimize::lbfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:910:46: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/lbfgs_update.hpp:107:14: required from 'void stan::optimization::LBFGSUpdate<Scalar, DimAtCompile>::search_direction(stan::optimization::LBFGSUpdate<Scalar, DimAtCompile>::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::LBFGSUpdate<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:247:9: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::LBFGSUpdate<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/lbfgs.hpp:123:15: required from 'int stan::services::optimize::lbfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:910:46: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<stan::math::var, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<stan::math::var, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<stan::math::var, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<stan::math::var, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, 1>; Src = Eigen::Map<Eigen::Matrix<stan::math::var, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Matrix<stan::math::var, -1, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/io/reader.hpp:232:56: required from 'stan::io::reader<T>::vector_t stan::io::reader<T>::vector_constrain(size_t, T&) [with T = stan::math::var; stan::io::reader<T>::vector_t = Eigen::Matrix<stan::math::var, -1, 1>; size_t = long unsigned int]'
/tmp/tmpsce7q_wn/anon_model_b3e759eb2d3e7447123475a13586fde2.hpp:652:36: required from 'T__ anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_propto.hpp:46:41: required from 'double stan::model::log_prob_propto(const M&, std::vector<double>&, std::vector<int>&, std::ostream*) [with bool jacobian_adjust_transform = true; M = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; std::ostream = std::basic_ostream<char>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1478:52: required from 'double pystan::stan_fit<Model, RNG_t>::log_prob(std::vector<double>, bool, bool) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:15480:84: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> > >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/multiply.hpp:576:30: required from 'Eigen::Matrix<stan::math::var, R1, C1> stan::math::multiply(const Eigen::Matrix<T, R, C>&, const T2&) [with T1 = stan::math::var; int R1 = -1; int C1 = 1; T2 = stan::math::var]'
/tmp/tmpsce7q_wn/anon_model_b3e759eb2d3e7447123475a13586fde2.hpp:780:53: required from 'T__ anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_propto.hpp:46:41: required from 'double stan::model::log_prob_propto(const M&, std::vector<double>&, std::vector<int>&, std::ostream*) [with bool jacobian_adjust_transform = true; M = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; std::ostream = std::basic_ostream<char>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1478:52: required from 'double pystan::stan_fit<Model, RNG_t>::log_prob(std::vector<double>, bool, bool) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:15480:84: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<stan::math::var, stan::math::var>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, -1> >, const Eigen::Matrix<stan::math::var, -1, -1> > >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:150:7: required from 'void Eigen::matrix_exp_pade13(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:202:24: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:446:10: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:447:13: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:351:22: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:517:51: required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:664:10: required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_pos_definite.hpp:40:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/validate_dense_inv_metric.hpp:24:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SolveTriangular.h:182:11: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:511:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:77:48: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Matrix<stan::math::var, -1, -1>, 1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Matrix<stan::math::var, -1, -1>, 1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Matrix<stan::math::var, -1, -1>, 1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Matrix<stan::math::var, -1, -1>, 1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::Product<Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Matrix<stan::math::var, -1, -1>, 1>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:391:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Lhs = Eigen::Matrix<stan::math::var, -1, -1>; Rhs = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:431:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/NoAlias.h:42:31: required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Matrix<stan::math::var, -1, -1>, 0>; ExpressionType = Eigen::Matrix<stan::math::var, -1, -1>; StorageBase = Eigen::MatrixBase]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:71:17: required from 'void Eigen::matrix_exp_pade3(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:190:23: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:797:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:41:15: required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:239:18: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:240:29: required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_fullrank; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:497:26: required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_fullrank; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/experimental/advi/fullrank.hpp:85:11: required from 'int stan::services::experimental::advi::fullrank(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1266:23: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Src = Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:194:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:240:29: required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_fullrank; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:497:26: required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_fullrank; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/experimental/advi/fullrank.hpp:85:11: required from 'int stan::services::experimental::advi::fullrank(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1266:23: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:194:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:240:29: required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:497:26: required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/experimental/advi/meanfield.hpp:85:11: required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1276:24: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 4, 4> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 4, 4> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 4>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 4>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 4>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 4, 4>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::operator()(Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, UpLo>::ResScalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, UpLo, Version>::ResScalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Eigen::SelfAdjointView<MatrixType, Mode>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/tcrossprod.hpp:22:71: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:473:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/GeneralProduct.h:239:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; typename Dest::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:377:34: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:355:27: required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:351:18: required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:333:23: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var>, 1>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Swap.h:19:7: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:131:14: required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:323:10: required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:591:10: required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:56: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:391:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:431:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:38:25: required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:239:18: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:240:29: required from 'double stan::variational::advi<Model, Q, BaseRNG>::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/variational/advi.hpp:497:26: required from 'int stan::variational::advi<Model, Q, BaseRNG>::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/experimental/advi/meanfield.hpp:85:11: required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1276:24: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<stan::math::var, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseNullaryOp.h:317:14: required from 'void Eigen::DenseBase<Derived>::fill(const Scalar&) [with Derived = Eigen::Matrix<stan::math::var, -1, 1>; Eigen::DenseBase<Derived>::Scalar = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/fill.hpp:23:3: required from 'void stan::math::fill(Eigen::Matrix<T, R, C>&, const S&) [with T = stan::math::var; int R = -1; int C = 1; S = stan::math::var]'
/tmp/tmpsce7q_wn/anon_model_b3e759eb2d3e7447123475a13586fde2.hpp:734:29: required from 'T__ anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream<char>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_propto.hpp:46:41: required from 'double stan::model::log_prob_propto(const M&, std::vector<double>&, std::vector<int>&, std::ostream*) [with bool jacobian_adjust_transform = true; M = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; std::ostream = std::basic_ostream<char>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1478:52: required from 'double pystan::stan_fit<Model, RNG_t>::log_prob(std::vector<double>, bool, bool) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:15480:84: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:391:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:431:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:796:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:64:60: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var>, 1>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Swap.h:19:7: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:131:14: required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:323:10: required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:591:10: required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:56: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::internal::div_assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> > >, Eigen::internal::div_assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Functor = Eigen::internal::div_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Functor = Eigen::internal::div_assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Func = Eigen::internal::div_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, 1> >; Func = Eigen::internal::div_assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:131:14: required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:323:10: required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:591:10: required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:56: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SolveTriangular.h:182:11: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:353:16: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:24:62: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:391:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:431:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/EigenBase.h:103:9: required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/MatrixBase.h:500:3: required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:115:14: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:796:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >, Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:405:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:131:14: required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:323:10: required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:591:10: required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:56: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:43:23: required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:239:18: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:333:23: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:352:24: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> > >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> >; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, Eigen::Matrix<stan::math::var, -1, -1> >; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/NoAlias.h:42:31: required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<stan::math::var, -1, -1>, Eigen::Matrix<stan::math::var, -1, -1>, 0>; ExpressionType = Eigen::Matrix<stan::math::var, -1, -1>; StorageBase = Eigen::MatrixBase]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:71:17: required from 'void Eigen::matrix_exp_pade3(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/MatrixExponential.h:190:23: required from 'static void Eigen::matrix_exp_computeUV<MatrixType>::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = stan::math::var; MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:354:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:517:51: required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:664:10: required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_pos_definite.hpp:40:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/validate_dense_inv_metric.hpp:24:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:333:23: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:333:23: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:352:24: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:352:24: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:796:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:28:26: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:354:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:517:51: required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:664:10: required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_pos_definite.hpp:40:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/validate_dense_inv_metric.hpp:24:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:354:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:517:51: required from 'Eigen::LDLT<MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LDLT.h:664:10: required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_pos_definite.hpp:40:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T_y = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/validate_dense_inv_metric.hpp:24:66: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:34:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:239:18: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:45:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Eigen::DenseBase<Derived>::EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:74:52: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:736:7: required from 'class Eigen::internal::triangular_dense_assignment_kernel<2, 8, 0, Eigen::internal::evaluator<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:799:10: required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 10; bool SetOpposite = false; DstXprType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:847:61: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:560:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::mul_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::mul_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::mul_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:796:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:28:26: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:391:29: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixMatrix.h:431:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:41:15: required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:239:18: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:473:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SolveTriangular.h:179:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:511:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/TriangularMatrix.h:541:7: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Solve.h:147:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:321:38: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:333:23: required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:397:68: required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:444:42: required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Cholesky/LLT.h:111:14: required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:244:69: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<stan::math::var, stan::math::var>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<stan::math::var>, const Eigen::Matrix<stan::math::var, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:131:14: required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:323:10: required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:591:10: required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:56: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<stan::math::var, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:131:14: required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:323:10: required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<stan::math::var, -1, -1>; _MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/LU/PartialPivLU.h:591:10: required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<stan::math::var, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:56: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:796:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:710:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:28:26: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var>, 1>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Swap.h:19:7: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::swap_assign_op<stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Func = Eigen::internal::swap_assign_op<stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:14: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:38:25: required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:239:18: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<stan::math::var, -1, -1>, 1, -1, false>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:14: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs_update.hpp:41:15: required from 'Scalar stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv<Scalar, DimAtCompile>::VectorT = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/bfgs.hpp:239:18: required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/optimize/bfgs.hpp:121:15: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:886:45: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<bool, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> > >, Eigen::internal::assign_op<bool, bool> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<bool, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> > >, Eigen::internal::assign_op<bool, bool>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<bool, bool>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<bool, bool>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Func = Eigen::internal::assign_op<bool, bool>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Func = Eigen::internal::assign_op<bool, bool>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; Derived = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::Matrix<stan::math::var, -1, -1> >; _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_pade.hpp:28:14: required from 'MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix<stan::math::var, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from 'Eigen::Matrix<LhsScalar, -1, -1, 0> stan::math::matrix_exp(const Eigen::Matrix<LhsScalar, -1, -1, 0>&) [with T = stan::math::var]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/matrix_exp_multiply.hpp:71:24: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/util/run_adaptive_sampler.hpp:53:11: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector<double>&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts<anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2, boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> > >; Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:107:35: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:166:38: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1008:41: required from 'int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:1536:22: required from 'int pystan::stan_fit<Model, RNG_t>::call_sampler(pystan::StanArgs&, pystan::StanHolder&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:9353:87: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/optimization/newton.hpp:21:55: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:41:48: required from 'Eigen::VectorXd stan::mcmc::diag_e_metric<Model, BaseRNG>::dtau_dp(stan::mcmc::diag_e_point&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:33717:1: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/mcmc/hmc/nuts/base_nuts.hpp:287:25: required from 'bool stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::build_tree(int, stan::mcmc::ps_point&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double, double, int&, double&, double&, stan::callbacks::logger&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/mcmc/hmc/nuts/base_nuts.hpp:114:27: required from 'stan::mcmc::sample stan::mcmc::base_nuts<Model, Hamiltonian, Integrator, BaseRNG>::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:33717:1: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:245:23: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:35:70: required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60: required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:33717:1: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double> >':
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from 'class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::assign_op<double, double>, 0>'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:245:23: required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ProductEvaluators.h:35:70: required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::Scalar = double]'
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:24:60: required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = anon_model_b3e759eb2d3e7447123475a13586fde2_namespace::anon_model_b3e759eb2d3e7447123475a13586fde2; BaseRNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >]'
/tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:33717:1: required from here
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
In file included from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420:0,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/Eigen.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core/matrix_vari.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/core.hpp:14,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/log_prob_grad.hpp:4,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/model/test_gradients.hpp:7,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/src/stan/services/diagnose/diagnose.hpp:10,
from /home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan_fit.hpp:22,
from /tmp/tmpsce7q_wn/stanfit4anon_model_b3e759eb2d3e7447123475a13586fde2_5128146529441662980.cpp:692:
/home/osvaldo/anaconda3/lib/python3.7/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
^~~~~~~~~~~~~~~~~~~~~~~~
WARNING:pystan:Maximum (flat) parameter count (1000) exceeded: skipping diagnostic tests for n_eff and Rhat.
To run all diagnostics call pystan.check_hmc_diagnostics(fit)
Show the trace plot, slicing off the first 50 “burn in” samples from each MCMC chain.
[17]:
stim_response_fitted[50:].plot();
/home/osvaldo/proyectos/00_PyMC3/bambi/bambi/results.py:272: UserWarning: Modeling the probability that shoot_or_not=='shoot'
str(self.model.clean_data[self.model.y.name][event])))
Looks pretty good! Now for the more concise summary.
[18]:
stim_response_fitted[50:].summary()
/home/osvaldo/proyectos/00_PyMC3/bambi/bambi/results.py:353: UserWarning: Multiple MCMC chains are required in order to compute convergence diagnostics.
warnings.warn('Multiple MCMC chains are required in order '
/home/osvaldo/proyectos/00_PyMC3/bambi/bambi/results.py:362: UserWarning: Modeling the probability that shoot_or_not=='shoot'
str(self.model.clean_data[self.model.y.name][event])))
[18]:
| mean | sd | hpd0.95_lower | hpd0.95_upper | |
|---|---|---|---|---|
| Intercept | -0.028870 | 0.154281 | -0.297423 | 0.298368 |
| C(race, Sum) | 0.220073 | 0.146207 | -0.068396 | 0.490775 |
| C(object, Sum) | 4.165005 | 0.246045 | 3.703529 | 4.662433 |
| C(race, Sum):C(object, Sum) | 0.191912 | 0.169487 | -0.134581 | 0.495656 |
| 1|target_sd | 0.502541 | 0.205658 | 0.101605 | 0.929569 |
| 1|subject_sd | 0.219356 | 0.147868 | 0.000179 | 0.487510 |
| C(object, Sum)[S.gun]|target_sd | 0.744984 | 0.189487 | 0.390733 | 1.115128 |
| C(object, Sum)[S.gun]|subject_sd | 0.696053 | 0.174423 | 0.361736 | 1.023535 |
| C(race, Sum)[S.black]|subject_sd | 0.183196 | 0.139399 | 0.000097 | 0.432601 |
| C(race, Sum)[S.black]:C(object, Sum)[S.gun]|subject_sd | 0.186285 | 0.137754 | 0.000009 | 0.447226 |
There is some slight evidence here for the hypothesis that subjects are more likely to shoot the black targets, regardless of whether they are armed or not, but the evidence is a little weak. The marginal posterior for the C(race, Sum) coefficient is mostly concentrated away from 0, but it overlaps even more in this case with 0 than did the key interaction effect in the previous model.
[19]:
(stim_response_fitted['C(race, Sum)'].to_df() < 0).mean()
[19]:
C(race, Sum) 0.065333
dtype: float64