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ERROR [0.034s]: test_binomial_sample (__main__.TestDistributions)
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Traceback (most recent call last):
  File "distributions/test_distributions.py", line 1060, in test_binomial_sample
    self._check_sampler_discrete(Binomial(total_count=count, probs=prob),
  File "distributions/test_distributions.py", line 812, in _check_sampler_discrete
    chisq, p = scipy.stats.chisquare(counts[msk], pmf[msk] * num_samples)
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6852, in chisquare
    return power_divergence(f_obs, f_exp=f_exp, ddof=ddof, axis=axis,
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6694, in power_divergence
    raise ValueError(msg)
ValueError: For each axis slice, the sum of the observed frequencies must agree with the sum of the expected frequencies to a relative tolerance of 1e-08, but the percent differences are:
0.00010002000400080016

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ERROR [0.000s]: test_geometric_sample (__main__.TestDistributions)
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Traceback (most recent call last):
  File "distributions/test_distributions.py", line 1042, in test_geometric_sample
    self._check_sampler_discrete(Geometric(prob),
  File "distributions/test_distributions.py", line 812, in _check_sampler_discrete
    chisq, p = scipy.stats.chisquare(counts[msk], pmf[msk] * num_samples)
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6852, in chisquare
    return power_divergence(f_obs, f_exp=f_exp, ddof=ddof, axis=axis,
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6694, in power_divergence
    raise ValueError(msg)
ValueError: For each axis slice, the sum of the observed frequencies must agree with the sum of the expected frequencies to a relative tolerance of 1e-08, but the percent differences are:
0.008265582255680495

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ERROR [0.000s]: test_poisson_gpu_sample (__main__.TestDistributions)
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Traceback (most recent call last):
  File "distributions/test_distributions.py", line 1362, in test_poisson_gpu_sample
    self._check_sampler_discrete(Poisson(torch.tensor([rate]).cuda()),
  File "distributions/test_distributions.py", line 812, in _check_sampler_discrete
    chisq, p = scipy.stats.chisquare(counts[msk], pmf[msk] * num_samples)
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6852, in chisquare
    return power_divergence(f_obs, f_exp=f_exp, ddof=ddof, axis=axis,
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6694, in power_divergence
    raise ValueError(msg)
ValueError: For each axis slice, the sum of the observed frequencies must agree with the sum of the expected frequencies to a relative tolerance of 1e-08, but the percent differences are:
3.6727285765597826e-05

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ERROR [0.000s]: test_poisson_sample (__main__.TestDistributions)
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Traceback (most recent call last):
  File "distributions/test_distributions.py", line 1352, in test_poisson_sample
    self._check_sampler_discrete(Poisson(rate),
  File "distributions/test_distributions.py", line 812, in _check_sampler_discrete
    chisq, p = scipy.stats.chisquare(counts[msk], pmf[msk] * num_samples)
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6852, in chisquare
    return power_divergence(f_obs, f_exp=f_exp, ddof=ddof, axis=axis,
  File "C:\Jenkins\Miniconda3\lib\site-packages\scipy\stats\stats.py", line 6694, in power_divergence
    raise ValueError(msg)
ValueError: For each axis slice, the sum of the observed frequencies must agree with the sum of the expected frequencies to a relative tolerance of 1e-08, but the percent differences are:
4.535600093557479e-05