diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 72a68cda1..3744bf64f 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -63,6 +63,7 @@ jobs:
pymc/tests/sampling/test_forward.py
pymc/tests/sampling/test_population.py
pymc/tests/stats/test_convergence.py
+ pymc/tests/stats/test_log_likelihood.py
- |
pymc/tests/tuning/test_scaling.py
diff --git a/docs/source/api/misc.rst b/docs/source/api/misc.rst
index 3cf81553e..6bfa2955e 100644
--- a/docs/source/api/misc.rst
+++ b/docs/source/api/misc.rst
@@ -6,6 +6,7 @@ Other utils
.. autosummary::
:toctree: generated/
+ compute_log_likelihood
find_constrained_prior
DictToArrayBijection
diff --git a/docs/source/learn/core_notebooks/model_comparison.ipynb b/docs/source/learn/core_notebooks/model_comparison.ipynb
index b8454a3e7..eb9ce0c96 100644
--- a/docs/source/learn/core_notebooks/model_comparison.ipynb
+++ b/docs/source/learn/core_notebooks/model_comparison.ipynb
@@ -9,7 +9,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Runing on PyMC v4.4.0+207.g7c3068a1c.dirty\n"
+ "Runing on PyMC v4.4.0+213.g85ca9123f.dirty\n"
]
}
],
@@ -77,7 +77,7 @@
"text": [
"Auto-assigning NUTS sampler...\n",
"Initializing NUTS using jitter+adapt_diag...\n",
- "Multiprocess sampling (3 chains in 3 jobs)\n",
+ "Multiprocess sampling (4 chains in 4 jobs)\n",
"NUTS: [mu]\n"
]
},
@@ -113,8 +113,8 @@
"text/html": [
"\n",
"
\n",
- "
\n",
- " 100.00% [9000/9000 00:05<00:00 Sampling 3 chains, 0 divergences]\n",
+ "
\n",
+ " 100.00% [12000/12000 00:02<00:00 Sampling 4 chains, 0 divergences]\n",
"
\n",
" "
],
@@ -129,7 +129,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "Sampling 3 chains for 1_000 tune and 2_000 draw iterations (3_000 + 6_000 draws total) took 33 seconds.\n"
+ "Sampling 4 chains for 1_000 tune and 2_000 draw iterations (4_000 + 8_000 draws total) took 3 seconds.\n"
]
}
],
@@ -151,12 +151,14 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {},
+ "metadata": {
+ "needs_background": "light"
+ },
"output_type": "display_data"
}
],
@@ -182,7 +184,7 @@
"text": [
"Auto-assigning NUTS sampler...\n",
"Initializing NUTS using jitter+adapt_diag...\n",
- "Multiprocess sampling (3 chains in 3 jobs)\n",
+ "Multiprocess sampling (4 chains in 4 jobs)\n",
"NUTS: [eta, mu, tau]\n"
]
},
@@ -218,8 +220,8 @@
"text/html": [
"\n",
" \n",
- "
\n",
- " 100.00% [9000/9000 00:09<00:00 Sampling 3 chains, 0 divergences]\n",
+ "
\n",
+ " 100.00% [12000/12000 00:09<00:00 Sampling 4 chains, 0 divergences]\n",
"
\n",
" "
],
@@ -234,7 +236,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "Sampling 3 chains for 1_000 tune and 2_000 draw iterations (3_000 + 6_000 draws total) took 36 seconds.\n"
+ "Sampling 4 chains for 1_000 tune and 2_000 draw iterations (4_000 + 8_000 draws total) took 10 seconds.\n"
]
}
],
@@ -261,12 +263,14 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {},
+ "metadata": {
+ "needs_background": "light"
+ },
"output_type": "display_data"
}
],
@@ -281,12 +285,14 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {},
+ "metadata": {
+ "needs_background": "light"
+ },
"output_type": "display_data"
}
],
@@ -306,22 +312,81 @@
"\n",
"WAIC (Watanabe 2010) is a fully Bayesian criterion for estimating out-of-sample expectation, using the computed log pointwise posterior predictive density (LPPD) and correcting for the effective number of parameters to adjust for overfitting.\n",
"\n",
- "By default ArviZ uses LOO, but WAIC is also available."
+ "By default ArviZ uses LOO, but WAIC is also available.\n",
+ "\n",
+ "### Model log-likelihood\n",
+ "\n",
+ "In order to compute LOO and WAIC, ArviZ needs access to the model elemwise loglikelihood for every posterior sample. We can add it via {func}`~pymc.compute_log_likelihood`. Alternatively we can pass `idata_kwargs={\"log_likelihood\": True}` to {func}`~pymc.sample` to have it computed automatically at the end of sampling."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ "
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+ " 100.00% [8000/8000 00:00<00:00]\n",
+ "
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+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "with pooled:\n",
+ " pm.compute_log_likelihood(trace_p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "Computed from 6000 posterior samples and 8 observations log-likelihood matrix.\n",
+ "Computed from 8000 posterior samples and 8 observations log-likelihood matrix.\n",
"\n",
" Estimate SE\n",
- "elpd_loo -30.48 1.10\n",
- "p_loo 0.61 -\n",
+ "elpd_loo -30.55 1.10\n",
+ "p_loo 0.67 -\n",
"------\n",
"\n",
"Pareto k diagnostic values:\n",
@@ -332,57 +397,112 @@
" (1, Inf) (very bad) 0 0.0%"
]
},
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "pooled_loo = az.loo(trace_p, pooled)\n",
+ "pooled_loo = az.loo(trace_p)\n",
"\n",
"pooled_loo"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ "
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+ " 100.00% [8000/8000 00:00<00:00]\n",
+ "
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+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "with hierarchical:\n",
+ " pm.compute_log_likelihood(trace_h)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\osthege\\AppData\\Local\\Continuum\\miniconda3\\envs\\pmdev\\Lib\\site-packages\\arviz\\stats\\stats.py:803: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
+ "/home/ricardo/miniconda3/envs/pymc/lib/python3.10/site-packages/arviz/stats/stats.py:802: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
" warnings.warn(\n"
]
},
{
"data": {
"text/plain": [
- "Computed from 6000 posterior samples and 8 observations log-likelihood matrix.\n",
+ "Computed from 8000 posterior samples and 8 observations log-likelihood matrix.\n",
"\n",
" Estimate SE\n",
- "elpd_loo -30.85 1.07\n",
- "p_loo 1.20 -\n",
+ "elpd_loo -30.82 1.07\n",
+ "p_loo 1.17 -\n",
"\n",
"There has been a warning during the calculation. Please check the results.\n",
"------\n",
"\n",
"Pareto k diagnostic values:\n",
" Count Pct.\n",
- "(-Inf, 0.5] (good) 3 37.5%\n",
- " (0.5, 0.7] (ok) 3 37.5%\n",
- " (0.7, 1] (bad) 2 25.0%\n",
+ "(-Inf, 0.5] (good) 1 12.5%\n",
+ " (0.5, 0.7] (ok) 6 75.0%\n",
+ " (0.7, 1] (bad) 1 12.5%\n",
" (1, Inf) (very bad) 0 0.0%"
]
},
- "execution_count": 10,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "hierarchical_loo = az.loo(trace_h, hierarchical)\n",
+ "hierarchical_loo = az.loo(trace_h)\n",
"\n",
"hierarchical_loo"
]
@@ -396,14 +516,14 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\osthege\\AppData\\Local\\Continuum\\miniconda3\\envs\\pmdev\\Lib\\site-packages\\arviz\\stats\\stats.py:803: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
+ "/home/ricardo/miniconda3/envs/pymc/lib/python3.10/site-packages/arviz/stats/stats.py:802: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
" warnings.warn(\n"
]
},
@@ -443,11 +563,11 @@
" \n",
" pooled \n",
" 0 \n",
- " -30.484146 \n",
- " 0.614626 \n",
+ " -30.554172 \n",
+ " 0.670458 \n",
" 0.000000 \n",
- " 1.000000e+00 \n",
- " 1.102878 \n",
+ " 1.0 \n",
+ " 1.102705 \n",
" 0.000000 \n",
" False \n",
" log \n",
@@ -455,12 +575,12 @@
" \n",
" hierarchical \n",
" 1 \n",
- " -30.851440 \n",
- " 1.196714 \n",
- " 0.367294 \n",
- " 4.440892e-16 \n",
- " 1.069803 \n",
- " 0.221801 \n",
+ " -30.821814 \n",
+ " 1.167435 \n",
+ " 0.267641 \n",
+ " 0.0 \n",
+ " 1.070727 \n",
+ " 0.239078 \n",
" True \n",
" log \n",
" \n",
@@ -469,16 +589,16 @@
""
],
"text/plain": [
- " rank elpd_loo p_loo elpd_diff weight se \\\n",
- "pooled 0 -30.484146 0.614626 0.000000 1.000000e+00 1.102878 \n",
- "hierarchical 1 -30.851440 1.196714 0.367294 4.440892e-16 1.069803 \n",
+ " rank elpd_loo p_loo elpd_diff weight se \\\n",
+ "pooled 0 -30.554172 0.670458 0.000000 1.0 1.102705 \n",
+ "hierarchical 1 -30.821814 1.167435 0.267641 0.0 1.070727 \n",
"\n",
" dse warning scale \n",
"pooled 0.000000 False log \n",
- "hierarchical 0.221801 True log "
+ "hierarchical 0.239078 True log "
]
},
- "execution_count": 11,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -525,17 +645,19 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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WFhZyh1Quqvs9l6vt9vb2slyXCGDPWKXyvGVlqrrq2vbq2m7gcdvVajWSkpKgVqvlDqfcVPd7TlQdsWeMiCosa2trDBkyRO4wiIiMiv8MIaIKS6PRQKlUQqPRyB0KEZHRMBkjogorLy8P33//PfLy8uQOhYjIaJiMEREREcmIyRgRERGRjJiMEREREcmIyRgRVVgWFhYICgqqNnOMEVH1xKktiKjCMjc3R5s2beQOg4jIqNgzRkQVVn5+Pvbv34/8/Hy5QyEiMhomY0RUYRUVFeHq1asoKiqSOxQig7h48SIOHjyIS5cuyR0KVSB8TElERGRkx44dw/jx43HmzBlYWlpCpVLB09MTixYtgp+fn8GuExUVhXPnzqFGjf//n/cmTZpgx44dcHFxwd69e+Hs7KxzTlpaGoKCgvDKK68AAGxtbdGrVy98/PHHMDU11anTxMQEjo6OCAoKQnR0NKytrQ0We3XGnjEiIiIjOnbsGLp16wZXV1ckJycjPz8fycnJ6NixI7p164Zjx44Z9Hqffvopzp49K3127NhRqvMSExNx9uxZrFu3Drt27cK2bdueqfP06dOYN28ezp8/j8jISA4hMBAmY0RUYSkUClhZWUGhUMgdClGZffzxxxg0aBDWrFkj9Uo5OztjzZo1GDRoECZMmCBzhLqaN28ODw8PXL169ZkyExMTtG7dGl9++SWUSmWpEz16PiZjRFRhWVtb44MPPuCjEKp0cnJycPPmTRw8eBCnT5/GpEmTij1u0qRJOHXqFA4dOoScnJxyjrJ4V69exZkzZ9C6desSj7GxsUHnzp1x+vTpcoys6mIyRkQVlkajwf3797lQOFU6S5YsQaNGjRAcHAwzM7Nnxmk94ezsDDMzM3Tr1g1LliwxyLVjY2Ph4eEhfUpKBP+Xr68vPD09MXr0aERGRqJv377PPb5evXoVJoGs7DiAn4gqrLy8PHz33XcYMmQIbGxs5A6HqNTGjRuHDz74AFevXkW3bt2QkpJSbEKWkpICtVqNgwcPwsPDwyDXnjx5MiIjI/U+7/jx43pNsJydnQ07Ozu9r0PPeumesZs3byI9Pd0QsRAREVUJdnZ2eO211xAUFARPT0/Mmzev2OPmzZsHLy8vBAUFVarEJjc3FydOnICnp6fcoVQJeidjEydOxNmzZwEA27dvR8+ePdGzZ08O4iMiIirGokWL8O2332LYsGFISUkB8LhHbNiwYfj222+xcOHCcotFrVajoKBA+ug7h58QApcvX8bYsWNRq1Yt9OnTx0iRVi96J2PHjx+XlifZuHEj1q9fj61bt2L16tUGD46IiKiy8/Pzw8GDB3Hu3Dk0a9YMlpaWaNasGf7P//k/OHjwoEHnGQOAuXPnwtXVVfr4+vpKZWFhYWjfvr30Wb58uV51enh4YOLEiWjTpg02b96MmjVrGjT26krvMWMFBQUwNzdHVlYW7t69Cy8vLwDA7du3DR4cEVVvFhYWCAwM5ELhVOn5+fnh1KlTuHTpEjIyMuDo6PjctxXLatOmTSWWXblypUxlz6uTDEPvZMzZ2RmrV69Genq6lG0rlUpmx0RkcObm5mjbtq3cYRAZTOvWrY2ShFHlpvdjyhkzZiA+Ph7//PMPPvroIwDA0aNHdbpBiYgMIT8/H7/99htn+SaiKk3vnrG2bdtiy5YtOvt69+6N3r17GyomIiIAjxcKv3LlCjp37ix3KERERlOqZCwhIaFUlXXp0uWlgiEiIiKqbkqVjM2YMeOFxygUChw6dOilAyIieuLq1atISUnB1atX4e7uLnc4RERGUapkLC4uzthxEBFJTpw4gZkzZ+LMmTOwsLDApk2b4Obmhjlz5sDHx0fu8IiIDKpMM/AXFRXhzJkz2Lt3L4DHS5bk5eUZNLDKYPLkyVizZo3e5507dw6BgYFGiIio8jtx4gTCw8Ph6uqK5ORkqFQqJCcnw83NDeHh4Thx4oTcIRIRGZTeA/iTk5MxfPhwKBQK3LlzByEhITh58iR++eUXgy1ySkTV1/Tp0zFw4ECdf+g4Oztj7dq1AB4Pmzhw4IBc4RERGZzeydisWbMwbNgw9O/fX1qTysvLq1TjyuTk4uKCkSNH4vDhw3j48CH69euHmJgYAEBaWhpmzZqFrKwsCCEQERGBqKioF5Y9raioCF999RUSEhJQVFSEunXr4rPPPoOTkxOKiooQGxuLI0eOwMbGhm+G/T8PHjzAgwcPSnVsbm4u7t+/b9yAKqDq1u7k5GT89ddf+Omnn4otnzx5Mpo1a4YjR44Uu+hyVVDd7vnTXqbttra2sLW1NWxAROVF6MnDw0NotVohhBCenp46+yuyFi1aiH//+99CCCGUSqXo2rWrOHbsmBBCiIiICPHNN98IIYS4c+eOCAgIEAkJCS8smzRpkli9erUQQojVq1eL+fPnS9/Njh07xJAhQ4QQQvzwww8iIiJC5Ofni6KiIjFy5EjRtWvXEmPVaDSGbn6FNHPmTAGAH350PmZmZs/9vTEzM5M9Rn4q3mfmzJnl84eLyiw5OVm0aNFC2v7ggw/ETz/9JG1v2bJF+Pr6io4dO4obN26If/75R4SHh4uOHTuKr776So6Qy43ePWP169dHSkoKmjVrJu27fPkynJyc9K2q3EVERAAA7O3t0bNnTyQkJKBjx444d+4cNm7cCACoU6cOQkJCkJCQgA4dOpRY9r+T3B44cAA5OTnSNCBarRaFhYUAgD/++ANhYWGwtLQEAPTv3x+fffZZiXHm5OQUu9/e3h737t0rc/srmiFDhqBv376lOrZWrVrVsregurU7JSUF4eHhSElJKbbnKyUlBWq1Gjt37qyyPWPV7Z4/7WXabmtr+1J/H+3t7ct8rj4yMzOxe/duhIaGokGDBgavPyoqCufOnUONGv//P+9NmjTBjh07ADx+SrR3795n/v+TlpaGoKAgvPLKKwAef5+9evXCxx9/DFNTU516TUxM4OjoiKCgIERHR8Pa2rpMsa5bt076Wa1WY+7cudi0aRPat28PAJg2bRo6dOggxV6V6Z2MRUdHIyYmBkOHDkVRURF27dqFNWvWYPTo0caIz2gUCoVB69NqtZg0aRKCgoJeeC1DX7uy0uexgr29fZn/D1+ZVbd2N2zYEG5uboiNjZXGiD0tNjYW7u7u8Pf3lyG68lHd7vnTqkPb4+PjkZmZifj4eLzzzjtGucann36KyMjIMp2bmJgICwsLXLt2DYMGDUKjRo0wYMAAnXq1Wi0uX76MhQsXIjIyEj/99NNLL4l49+5dqFQquLi4SPvS0tLQvXv3MtVXVFSkk5BWdHq/TRkWFoapU6ciLi4ODRo0wJ49e/Dxxx8jJCTEGPEZ1M8//wwAuH//Pvbv348uXbrA2toaHTt2lFYVUCqV2Ldv3wvL/tebb76JjRs3Ijc3F8DjLP/ChQsAgM6dO+OXX35BQUEBNBoNtm3bVh7NJaqU5syZg++++w7Dhg1DSkoKgMc9YkOHDsV3332H2bNnyxwhUdlkZmbi2rVrAIBr164hMzNT5ohK1rx5c3h4eODq1avPlJmYmKB169b48ssvoVQqS+y5KigowNSpU+Hl5YU333zzmTeho6KisHnzZqSkpKBHjx4AgE6dOqFPnz549913cfLkScydOxeurq44f/48CgsLsXjxYgQGBsLb2xsff/yx9CQpLS0NLi4u2LFjBwIDA/HWW28BAI4dO4Y+ffrAw8MD4eHhOHPmjM71ly5diqioKLi6umLAgAFIT0+Xyv/73/9i6NCh8Pb2hre3t87fnufVWxZlShsDAwMr5dQMNWvWRHh4OHJzc/H2229LSdXChQsxa9YsbN++HUIIDB48WHoM+byyp0VHR6OoqAiRkZFQKBTQaDQICwtD27Zt0a9fP6SkpOBf//oXbG1t4ePjg4sXL5Zr24kqCx8fH+zcuROzZs1Cs2bNYGFhgYKCAri7u2Pnzp2cZ4wqBZVKhYKCAp19v//+OxQKBYQQUCgU+P3333WWErSwsJCGs8jt6tWrOHPmDMaPH1/iMU9eSDt9+jTefffdZ8pXrFiBq1evYt++fQCAkSNHFluPs7Mz9uzZg6CgIKlnDnicLIWEhEi9fLGxsbh27Rq2bdsGKysrzJo1C7Nnz8aiRYukuo4dO4ZffvkFNWrUwOXLlzFhwgR8/fXXcHNzw5EjRzBq1Cjs27cPtWvXBgD85z//werVq/H6669jwoQJ+PLLLzF//nw8evQIQ4YMwYABA7B8+XIAkDpYSlOvvkqVjO3atatUlVX09SkjIyOlxc2f1rBhQ51n16Uti42NlX42NTXFqFGjMGrUqGeOq1GjBqZNm4Zp06ZJ+yZMmKBv+ETVho+PD06dOoXDhw/j4MGD6NatGzp06CB3WESllpiYiCNHjpRYLoRAamoqli5dKu3z9/dHQEDAS187NjZWJ0EJCgrCvHnzSnWur68vFAoF7O3tERkZ+cJxvfXq1cOlS5eKLduzZw+mTp2KOnXqAACGDh1a7H8jS0MIgS1btmD79u1SfWPGjEFwcDDmz58vHTd69GjpUfeWLVvw9ttvw8PDAwDQtWtXtGzZEkePHpXylT59+qBFixYAgH/9619YtmwZAODw4cOwsbHBiBEjpLqf1FOaevVVqmRs8+bNOtsXLlyAra0tHBwckJWVhYcPH6Jt27YVPhkjosqladOmMDMzQ9OmTeUOhUgvnTp1gqurq7S9a9cuXL9+HUIIaZ9CoUDjxo2l/3Y+6RF6WZMnTy7zmLHjx4/rFUd2djbs7OxKLHN0dJS2X+ZFP6VSifz8fOlFvCeezHla3DXS09Nx6tQpbN26VdpXVFSk83Srbt260s+WlpbSBPYZGRlo1KhRsbGUpl59lSoZe/qC8+bNQ0BAAGJiYmBiYgKtVos1a9aU+AZgRXHlyhW5QyAiomrC0tJSeuSYmZmJ1NTUZ4550juWl5dnlDcrjS03NxcnTpzQ6T16Wr169ZCRkYGWLVsCeJzglJW9vT0sLS2xa9cuNGzY8JnytLQ0ALovyDVo0ADR0dH48MMP9b6eo6Mjfvnll2LLXqbekug9gH/Hjh0YNmwYTEwen2piYoLo6Ohq8eopERGRvuLj40t8i16hUCA+Pr5c41Gr1SgoKJA+RUVFep0vhMDly5cxduxY1KpVC3369Cn2uJCQEKxevRpKpRJKpbLYN6RLy8TEBBEREfjiiy+QnZ0N4PEbmAcPHizxnIiICGzduhVnzpyBVquFSqVCYmIibt269cLr+fv74/79+1izZg1UKhVUKpU0SP9l6i2xffqeYGNjg9OnT+vs+/PPP6v868hEVP4UCgUsLS05HQxVWkIIZGdn6zye1Ke8LJ68gfjk87+Pz8LCwtC+fXvp82SAemnr9fDwwMSJE9GmTRts3ry5xGktRo0ahaZNm6J79+4YMGAA/vWvf71UuyZMmICWLVvi3Xffld5+/Pvvv0s8vk2bNpg3bx4WLFgAb29vdO3aFRs2bIBWq33htaytrbFhwwYkJibijTfeQEBAAPbv3//S9ZZEIfT8Dfj1118xdepUvPHGG3B0dERGRgaOHTuGzz//HL169SpzIPT/lTRxYVWb9FUf1bXt1bXdQPVte3VtNyBv24056Wtxb1Y+rSK9RUny0Htqi169eqFly5bYv38/srOz4eLigjFjxlTZ2bCJSD5arRaPHj2ClZWVNDSCqLJ5evwYUXHKNM+Ys7NzmV9PJSIqrUePHmHDhg0YMmQIbGxs5A6HiMgo9P6nplqtxtKlS9G1a1e0bdsWXbt2xdKlS6V1GImIiIio9PTuGVu0aBH++usvzJ49G05OTkhLS8OKFSuQn5+PKVOmGCNGIiIioipL72Rs//79OjPgNm3aFK1bt0afPn2YjBERERHpSe/HlEVFRc/MzmthYQGNRmOwoIiIgMd/W/z9/Q02MzkRUUWkdzL2xhtvYNy4cbh69Spyc3Nx5coVTJgwAf7+/saIj4iqMXNzc3To0AHm5uZyh0JEZDR6J2Offvop6tSpg759+8LT0xP9+vWDvb09Pv30U2PER0TVmEqlwsGDB6FSqeQOhYjIaPQeM2ZtbY3Y2FjMnTsX9+7dg729Pef/ISKjUKvVuHTpEry9vTlPExFVWWWaZ6ywsBA3btxAXl4e0tPTpf3t27c3WGBERERE1YHeydjevXsxc+ZMqFQqnX+pKhQKnDp1yqDBEREREVV1eidjX3zxBebMmYMePXoYIx4iIolCoYCFhQUXCieiKk3vZEwIgeDgYGPEQkSkw9raGjExMXKHQURkVHqPvB88eDBWrVoFIYQx4iEikmi1WuTm5kKr1codChGR0ejdM9a9e3cMGTIE33zzDezt7XXKDh06ZLDAiIi4UDgRVQd6J2NjxoxBu3btEBISwlfNiYiIiF6S3snYP//8g23btsHU1NQY8RARERFVK3qPGevcuTMuXrxojFiIiIiIqh29e8ZeffVVDB06FIGBgXj11Vd1ysaPH2+wwIiILCws4Ofnx4XCiahK0zsZKygoQGBgIADg9u3bBg+IiOgJc3NzuLq6yh0GEZFRlWnSVyKi8qBSqfDHH3+gc+fOfGGIiKosrvBNRBWWWq3GhQsXoFar5Q6FiMhomIwRERERyYjJGBEREZGMmIwRUYVmbm4udwhEREZVqgH8p0+fLlVlnp6eLxUMEdHTbGxsMHz4cLnDICIyqlIlY+PGjdPZvn//PjQaDaytrZGbmwtTU1PUqlULCQkJRgmSiKonrVaL/Px81KxZEyYm7MgnoqqpVMnY00nWhg0bkJqaigkTJsDGxgYPHjzA4sWL8frrrxsrRiKqprhQOBFVB3rPM7Zu3TrEx8dL4zhsbW0xZcoUBAYGYvDgwYaOj4iIiKhK07vf39TUFP/973919v3zzz9cOJyIiIioDPTuGXv//fcxePBghIeHw9HRERkZGdi1axdiYmKMER8RERFRlaZ3MjZ48GA0b94cv/76K65du4Z69ephwYIF6NKlizHiI6JqzNzcHF26dOH0FkRUpemdjAGAr68vfH19DR0LERlJdnY2Dh06hKCgINSrV0/ucErNwsICbm5ucodBRGRUeo8ZKywsxNKlS9GtWze4u7sDAI4dO4bvv//e4MERkWEkJibi9u3bSExMlDsUvahUKsTHx0OlUskdChGR0eidjM2bNw8XLlxAbGwsFAoFAKBZs2bYsmWLwYMjopeXnZ2N1NRUAEBqaiqys7PlDUgParUaf//9NxcKJ6IqTe/HlL/99hv2798Pa2traRLGBg0a4NatWwYPjqgqKygoQGFh4XOPMTExwcOHD1/qOgkJCVAoFBBCQKFQICEhAcHBwS9VZ2mYm5vDwsLC6NchIqrs9E7GTE1Nn5kJ+8GDB7C1tTVYUNWdnZ1dibON29vbl3M0FUdVa/vhw4dx5MiRcr2mEAJpaWnYsGGD0a/l7++PgICAl6rDzs5O+t8nP1cHVe13XR/Vue1UfemdjPn7++Pzzz/HtGnTAAAajQaLFy9GYGCgwYOrrnJycordb29vj3v37pVzNBVDVWx7y5Yt0bRp0+ceY2dnV+LvQ2kcOHAA6enpEEJI+xQKBZycnIzeO2Zubv5S98ze3h45OTmoUaMGcnJyoNVqDRhdxVUVf9dLS862MwkkOemdjH3yySeYMmUKvLy8oNFo0LFjRwQEBCA2NtYY8RFVWRYWFi98jGdnZ1fmJCQ7OxtpaWnP7H/SO5afn1/h36y0sbHByJEj5Q6DiMio9E7GFAoFli9fDqVSibS0NDg6OqJu3brIyMiAlZWVMWIkojJITEyUxor9L4VCgcTERLz11lsyRFZ6Wq0WKpUKlpaWXCiciKosvf+6jRw5Emq1GrVr10b79u2lRGzgwIHGiI+IykAIgbt37xabiJWmvKJ49OgR1q1bh0ePHskdChGR0ejdM9a0aVOMGzcOy5cvh0KhQFpaGgYOHIhBgwYZIz4iKgOFQoF33nnnuW9rmpubS9PTEBGRfPTuGZsxYwZq1KiBadOmSYnY4MGDmYwRVTAWFhawsbEp8cNpJ4iIKga9kzGFQoEFCxYgMzMToaGheP/99/mIkoiIiKiMSvWYcvz48c88zjA3N0fNmjVx9uxZnD17FgCwaNEiw0dIRNWWubk5fH19uVA4EVVppUrGSpoLqW3btgYNhojoaRYWFtIauEREVVWpkrHRo0cbOw4iMqKkpCRkZWWhfv36aNmypdzhlJpKpUJiYiI6deoES0tLucMhIjIKvd+mBICbN28iKSkJeXl5Ovt79+5tiJiIyEBOnDiBadOm4ezZs7C0tIRKpYKbmxvmzJkDHx8fucN7IbVajfPnz8Pd3Z3JGBFVWXoP4P/mm2/Qs2dPfPXVV9i8ebP02bJli171uLi44Pbt28WWffnll9i+fbu+oRnU5MmTsWbNmmLL/v77b4waNeql6l++fDlmzJjxUnUQPc+JEycQHh4Od3d3JCcnIz8/H8nJyXBzc0N4eDhOnDghd4hERIQy9IytX78eP/74I9q3b2+MeAAAY8aMKdN5RUVFqFGj9E3SaDQwNTXV+zrt2rXD119/rfd5ROVp+vTpGDhwINauXSvtc3Z2lrZnzJiBAwcOyBUeERH9P2VaDql169YGufj27dsRFxeH27dvIzIyEsOGDQPwuFeqadOmGDZsGIqKivDVV18hISEBRUVFqFu3Lj777DM4OTlhx44d+Pnnn1G/fn0kJydjxIgRqF27NpYsWYKCggIUFBQgJCREGvO2fPlyJCUlQaPRICMjA7Nnz0aNGjUwf/583L9/HwDw9ttvS3OmXb9+HR988IG07NPSpUthZ2eHkydPYubMmdi/fz8AICEhAcuWLYNKpYIQAiNHjkTPnj2xd+9ebNy4EYWFhVCr1Rg0aBD69+9vkO/ueR48eIAHDx4Y/TrlKTc3V7pH1UlZ252cnIy//voLP/30U7HlkydPRrNmzXDkyBE4Ozu/ZJTGkZubi8zMTJiYmCAzM/OlFkyvTMr7d93W1ha2trbldj0iKobQ06ZNm8TChQtFUVGRvqfqaNGihfj666+FEEJkZGSI9u3bi1u3bgkhhJg0aZJYvXq1EEKI1atXi/nz5wutViuEEGLHjh1iyJAhQgghtm/fLtq0aSMuXbok1Xv//n2hVquFEELk5eWJsLAwcfLkSSGEEMuWLRNeXl4iIyNDOrZz587i6NGj0vl3796VYggLCxO5ublCq9WKoUOHSjElJiaK7t27CyGESE1NFV5eXlIMWq1WKJVKqa4ncd+9e1e88cYb4saNG1Is06dPL/a70Wg0ZflKJTNnzhQA+KnmHzMzs+f+npiZmckeIz/yf2bOnPlSf2+I6OXp3TO2atUq3Lt3Dxs3boSdnZ1OWUJCgl51PVmkuEGDBnBwcMDNmzfh4OCgc8yBAweQk5Mj1a3VanWWeGnbti1atWolbefk5GD69On473//CxMTE9y6dQtJSUnw8vICAHTp0gUNGjQAAJw7dw7169eHn5+fdH7t2rWln4OCgqTFz11dXXH9+vVn2pCQkABvb28pBoVCAXt7ewBAZmYmJk2ahIyMDNSoUQMPHjzAlStX8Nprrz33eympB8De3h737t177rkAMGTIEPTt2/eFx1UmtWrVqpY9Y2Vtd0pKCsLDw5GSklJsz1dKSgrUajV27txZYXvGatWqhXv37kGtVsPMzKzaLN1U3r/rtra2pfq7Uh5K+zfOWNcmkoveydjixYsNdvGnl2MxMTGBRqN55hitVotJkyYhKCio2DqeJEtPzJw5E56enliyZAlMTU0xatQoFBQUFHu8eMEiyU/HZ2pqWmx8zzNu3DiMHDlSesu0d+/eOrEYS1V87GBvbw9ra2u5wyh3ZW13w4YN4ebmhtjYWJ0xY0/ExsbC3d0d/v7+hgjTKOzt7SGEwIYNGzBkyBDY2NjIHVK5qK6/60TVmd7J2JMepvLy5ptvYuPGjfD29oa1tTXUajWuXLlS4oSzOTk5cHR0hKmpKZKTk/HHH3+gQ4cOxR7r5uaGW7du4dixY1LvmFKp1OkdexE/Pz8sW7YMSUlJaNWqFYQQuH//Puzt7ZGTk4OGDRsCABITE3HlyhU9W09UdnPmzEF4eDiAx2PEnJ2dkZKSgtjYWHz33XfYuXOnzBESERFQxnnGLly4gDNnzuDevXs6vUvjx483WGBPREdHo6ioCJGRkVAoFNBoNAgLCysxGZs4cSJmzZqF9evXo1GjRujUqVOJddva2mLlypWYN28e5s+fDwDo378/oqKiSh1fo0aNsHDhQkyfPh0FBQVQKBQYNWoUunfvjmnTpuGTTz6BjY0NWrduXWJSSGQMPj4+2LlzJ6ZPn45mzZrBwsICBQUFcHd3x86dOyvFPGNERNWBQrzoWd3/+OGHH7BgwQJ06dIFR44cgb+/P44fP47AwECuTWkgJY2ZkHM8hdyqa9sN1e7Lly/j1q1blWoGfnt7e9y4caNaPqasjr/rAMeMUfWld8/Yxo0b8c0338Dd3R2enp7StBO7d+82RnxEZAAtW7asNEnY08zNzeHj48OFwomoStN7Bv67d+9KC/eamJhAq9WiS5cuiI+PN3hwRFS9WVhYwNPTU+dlGiKiqkbvZMzR0RE3b94EALz++uv47bffkJiYCDMzM4MHR0TVm0qlwtGjR6FSqeQOhYjIaPR+TBkdHY1//vkHr732GkaOHIkxY8ZArVZj6tSpxoiPiKoxtVqNc+fOwdXVlQuFE1GVpXcy1qVLF2mgo7+/P06dOgW1Wv3MfF9ERERE9GJ6PaYUQjwz+aq5uTkTMSIiIqIy0isZUygUcHZ2xq1bt4wVDxGRDhMTvYe2EhFVKno/pgwJCcHw4cMRFRWFBg0a6KwX16VLF4MGR0TVm42NDUaPHi13GERERqV3Mvbjjz8CeLxg+NMUCgUOHTpkmKiIiPB4aERhYSHMzc2rzULhRFT96J2MxcXFGSMOIqJn5ObmVrsZ+Imo+uFgDCIiIiIZMRkjIiIikhGTMSIiIiIZMRkjogrL3NwcnTp14kLhRFSl6T2An4iovFhYWMDLy0vuMIiIjIo9Y0RUYRUUFODYsWMoKCiQOxQiIqNhMkZEFVZhYSHOnj2LwsJCuUMhIjIaJmNEREREMmIyRkRERCQjJmNEREREMuLblERUYdnY2OCjjz6SOwwiIqNizxgRVVhCCKjVaggh5A6FiMhomIwRUYWVm5uLlStXIjc3V+5QiIiMhskYERERkYyYjBERERHJiMkYERERkYwUgiNjiYiIiGTDnjEiIiIiGTEZIyIiIpIRkzEiIiIiGTEZIyIiIpIRl0OqQG7evIkxY8ZAo9FAq9WiXr16mDVrFl577TUUFBRg/PjxSE5OhqWlJWrWrIkpU6agQ4cOxdZ16dIlTJs2DY8ePYKVlRU+//xztG7dupxbVDrPazcALFmyBPv27cONGzewaNEi9OrVq8S6AgMDYWZmBktLS2l7zJgx5dKOsjBk26vSPU9LS8OUKVOQnZ2NGjVqYOrUqejcuXOxdVW1e65P2yvTPQeAEydOYMmSJcjNzYWJiQnatWuHGTNmoGbNmgCA3bt3Y+3atRBCwMrKCnPmzEHz5s2LrcvFxQXNmzeHqakpAGDAgAGIjIwst7YQGZSgCqOgoEDk5+dL2xs2bBDvv/++EEIIlUol4uPjhVarFUIIceDAAeHr61tsPVqtVvTo0UMcPHhQCCHE77//Lnr06CGdW9E8r91CCPHnn3+KGzduiPfee0/s2bPnuXV17dpVnD171lihGpyh2l7V7vn7778vvv32WyGEEOfPnxfe3t4iLy+v2Lqq2j0vbdsr2z0XQoiLFy+K1NRUIYQQRUVF4sMPPxQLFy4UQgiRkpIivLy8RFpamhBCiMTERBEaGlpiXS1atBDZ2dnGD5qoHPAxZQVibm4u/eteCIEHDx5AoVAAACwsLBAQECBtu7m54e7du1CpVM/Uc/HiRahUKgQFBQEAgoODkZ+fj4sXL5ZTS/TzvHYDj9v6pNegqjFU26vSPVcqlTh9+jT69+8PAGjXrh2aNm2Ko0ePyhavIRmq7ZXtngNA69at0bhxYwCAqakpOnTogPT0dADA1atX0axZMzg5OQEAvL29cfPmTVy6dEm2eInKCx9TVkBhYWHIyspC3bp1sXbt2mKP+fbbb+Hn5yf9UX9aRkYGHB0ddfY5OTkhIyMDbdu2NUrMhlCadpfG9OnTAQBNmjTBmDFj4OzsbKgQjeZl216V7nlmZiZq166t87vdsGFDZGRklFhPVbnn+rS9st7zJx49eoRt27ZJj5RbtWqFq1ev4sqVK3BxccHvv/+OvLw8pKenl/joNSYmBmq1Gm3btsXYsWPh4OBQnk0gMhgmY+VoxIgR+Ouvv4ot++ijj/Duu+8CAP7zn/9Aq9Xim2++wYIFC7B48WKdY7ds2YLffvsN33//vdFjNgRDtbs0Nm3aBCcnJwghsG3bNgwZMgQHDx6Eubn5S7WhrMqz7RUJ73n1u+dA6duuUqkwcuRI+Pn5oWfPngCAxo0bY+7cuZg5cyYKCwvh5uamMybsf8XFxcHJyQlqtRorV67EyJEjsX37duM0jMjYZHxESi+Qm5srWrRoIR49eiTt+/7770WPHj3ErVu3Sjzv/PnzIiAgQGefv7+/+Pvvv40WqyEV124hRKnGjP0vLy8vce3aNUOGZ1RlbXtVuud3794Vbdu2FSqVSiqPjIwU+/fvL1Vdlfme69P2ynrP8/LyxMCBA8WcOXOee5xKpRLu7u7i+vXrL6zz4cOHokWLFiWOKySq6DhmrAJJT09HXl6etL179240btwYr7zyCgDgu+++w48//ojvvvvuud3xbdu2hbm5OQ4dOgQAOHDgACwtLdGmTRvjNqCMXtTu0nr48CFyc3Ol7bi4OACPH/NUVIZqe1W657Vr14anpye2bt0KALhw4QJSUlLg5+f3TD1V7Z7r0/bKds+Bx48mhw4dipYtW2LatGnPlGdnZwN4PJZu2bJl8PX1RaNGjZ45TqlUoqCgQNretWsXnJ2dpbcyiSobrk1ZgcTFxWHJkiXStpOTEyZOnAhnZ2fcunUL/v7+cHJygo2NjXTMqlWr0KBBA2zevBnZ2dnS+IsLFy5gxowZ0ivvs2fPrrDjSJ7XbgCYP38+9uzZA6VSCSsrK1hYWGD9+vVo1qyZTruvXLmCiRMnQggBhUKBWrVqYcKECWjfvr1cTXshQ7UdqFr3/ObNm5gyZQpu374NU1NTTJkyRUpIqvo9L23bgcp1zwFg5cqVWLZsGVq0aCHta926Nb744gsAj8eA3bhxA0VFRfDw8MDUqVNhbW0NAPjyyy9Rr149REZG4vjx44iNjZXqcHJywqRJk9CkSZPybRCRgTAZIyIiIpIRH1MSERERyYjJGBEREZGMmIwRERERyYjJGBEREZGMmIwRERERyYjJGBEREZGMmIwRERERyYjJGFEVsGPHDvTv37/M5/v6+uLkyZNGvcaLDBw4EH/++afBrxUTE4OEhASD1EVEZAxMxohIdgkJCdBqtXB3dzd43TExMVViEW4iqrqYjBGR7H788UeEhYUZpW43Nzc8fPgQf//9t1HqJyJ6WUzGiCqJ27dvY+zYsejcuTP8/f2xfPlyaLXaYo91cXHBpk2bEBwcDC8vL0ybNg2FhYVS+caNG+Hn5wcfHx+sX7++TPGcP38eERERcHd3R2hoKOLj46WywsJCzJs3D2+88QY6d+6MyZMn4+HDh8XWo1arcfz4cXTq1KlM1yooKMDUqVPh5eWFN998Ez/88ANcXFx0zvf29tY5h4ioImEyRlQJaLVajBgxAo0bN0Z8fDx++uknHDp0CD///HOJ5/z666/YsmUL9u3bh6SkJKxcuRIAcPz4caxcuRKrVq3C4cOHkZqainv37ukVT05ODqKjo9G3b1+cPHkSkyZNwrhx45CSkgIAWL16NRITE7Ft2zb89ttvuH//PmbNmlVsXdevX4dGo8Frr71WpmutWLECycnJ2L9/P7Zs2YK9e/c+U4ezszOSkpL0aiMRUXlhMkZUCVy4cAG3bt3C2LFjYWFhAQcHBwwePBh79uwp8Zxhw4ahTp06qFOnDkaMGCEdu2fPHoSHh6NNmzawsLDAhAkTSuxhK8nhw4fh6OiI/v37o0aNGujSpQu6du2K3bt3AwB++eUXjBo1Cg4ODrCxscHEiROxb98+nd65J3JycmBlZVXma+3ZswfDhw9H7dq1Ubt2bURHRz9Th5WVFR48eKBXG4mIyksNuQMgohdLS0uDUqmEp6entE+r1aJBgwYlnuPo6Cj97OTkhKysLABAdnY2WrZsKZXZ2trC2tpar3iysrLg5OSks+/pa2RlZaFhw4ZSWcOGDaHRaHDnzh2duADAzs4Ojx49KvO1srOzdb6H4r6TR48ewdbWtpStIyIqX0zGiCoBR0dH1K9fH3FxcaU+JyMjQ0q6MjIy4ODgAACoV68eMjMzpeMePHiA3NxcveJxcHBAenq6zr709HQ0btxYKk9LS5Oun5aWBhMTE9StW/eZuho1agRTU1PcvHmz2EeVL7rWk/Y8udbTbXsiJSUFrVq10quNRETlhY8piSqBdu3awd7eHl9//TXy8vKg1WqRmpqKU6dOlXjOunXroFQqoVQqsWrVKvTq1QsAEBISgp07dyIpKQkFBQVYvHgxTEz0+1Pg7++P9PR0/PzzzygqKsIff/yB+Ph4hIaGAgBCQ0OxYsUKZGdnIzc3F4sWLUJISAjMzc2fqcvc3BydO3cucZ6zF10rJCQEq1evltpa3AsJp0+fRkBAgF5tJCIqL0zGiCoBU1NTrFq1CtevX8ebb74JT09PjB07Frdv3y7xnJ49eyIiIgLdu3dH8+bNMWLECACAn58fYmJiMGzYMAQEBKBRo0awt7fXK55atWphzZo12Lp1K7y9vTF37lwsXLgQzs7OAIDhw4fDy8sLffv2RXBwMKytrTFz5swS63vnnXfwn//8p0zXGjVqFJo0aYLu3btjwIABCAoKgpmZmXT+uXPn8Morr6B9+/Z6tZGIqLwohBBC7iCIyLBcXFywd+9eKWGpDKKiojB27NiXnvj1wIEDmD9/Pg4cOADgcWL47rvvws/PzxBhEhEZHMeMEVGFsGnTpjKdd/v2baSmpsLd3R2ZmZlYsWIFgoODpfJVq1YZKkQiIqNgMkZEkujoaGl9yKeFhoZi9uzZMkT0YhqNBrNnz0ZaWhpeeeUVBAYGYtSoUXKHRURUanxMSURERCQjDuAnIiIikhGTMSIiIiIZMRkjIiIikhGTMSIiIiIZMRkjIiIikhGTMSIiIiIZMRkjIiIikhGTMSIiIiIZ/V9KDvf7dkEBmwAAAABJRU5ErkJggg==\n",
+ "image/png": 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\n",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {},
+ "metadata": {
+ "needs_background": "light"
+ },
"output_type": "display_data"
}
],
@@ -571,26 +693,26 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Last updated: Tue Dec 06 2022\n",
+ "Last updated: Thu Dec 08 2022\n",
"\n",
"Python implementation: CPython\n",
- "Python version : 3.11.0\n",
- "IPython version : 8.7.0\n",
+ "Python version : 3.10.8\n",
+ "IPython version : 8.3.0\n",
"\n",
- "xarray : 2022.12.0\n",
+ "xarray : 2022.6.0\n",
"pytensor: 2.8.10\n",
"\n",
- "numpy : 1.23.4\n",
- "matplotlib: 3.6.2\n",
- "pymc : 4.4.0+207.g7c3068a1c\n",
- "arviz : 0.14.0\n",
+ "pymc : 4.4.0+213.g85ca9123f.dirty\n",
+ "arviz : 0.13.0\n",
+ "numpy : 1.22.3\n",
+ "matplotlib: 3.5.2\n",
"\n",
"Watermark: 2.3.1\n",
"\n"
@@ -617,9 +739,9 @@
"hash": "baf205d70af30bf8b721a304f5a44beb31bf8af014f6b7340f1a7ae004926653"
},
"kernelspec": {
- "display_name": "Python 3 (ipykernel)",
+ "display_name": "pymc",
"language": "python",
- "name": "python3"
+ "name": "pymc"
},
"language_info": {
"codemirror_mode": {
@@ -631,7 +753,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.0"
+ "version": "3.10.8"
},
"toc": {
"base_numbering": 1,
diff --git a/pymc/backends/arviz.py b/pymc/backends/arviz.py
index 71c3e4ae4..f7ffc0b93 100644
--- a/pymc/backends/arviz.py
+++ b/pymc/backends/arviz.py
@@ -21,7 +21,6 @@
from arviz.data.base import CoordSpec, DimSpec, dict_to_dataset, requires
from pytensor.graph.basic import Constant
from pytensor.tensor.sharedvar import SharedVariable
-from pytensor.tensor.subtensor import AdvancedIncSubtensor, AdvancedIncSubtensor1
import pymc
@@ -153,7 +152,7 @@ def __init__(
trace=None,
prior=None,
posterior_predictive=None,
- log_likelihood=True,
+ log_likelihood=False,
predictions=None,
coords: Optional[CoordSpec] = None,
dims: Optional[DimSpec] = None,
@@ -246,68 +245,6 @@ def split_trace(self) -> Tuple[Union[None, "MultiTrace"], Union[None, "MultiTrac
trace_posterior = self.trace[self.ntune :]
return trace_posterior, trace_warmup
- def log_likelihood_vals_point(self, point, var, log_like_fun):
- """Compute log likelihood for each observed point."""
- # TODO: This is a cheap hack; we should filter-out the correct
- # variables some other way
- point = {i.name: point[i.name] for i in log_like_fun.f.maker.inputs if i.name in point}
- log_like_val = np.atleast_1d(log_like_fun(point))
-
- if isinstance(var.owner.op, (AdvancedIncSubtensor, AdvancedIncSubtensor1)):
- try:
- obs_data = extract_obs_data(self.model.rvs_to_values[var])
- except TypeError:
- warnings.warn(f"Could not extract data from symbolic observation {var}")
-
- mask = obs_data.mask
- if np.ndim(mask) > np.ndim(log_like_val):
- mask = np.any(mask, axis=-1)
- log_like_val = np.where(mask, np.nan, log_like_val)
- return log_like_val
-
- def _extract_log_likelihood(self, trace):
- """Compute log likelihood of each observation."""
- if self.trace is None:
- return None
- if self.model is None:
- return None
-
- # TODO: We no longer need one function per observed variable
- if self.log_likelihood is True:
- cached = [
- (
- var,
- self.model.compile_fn(
- self.model.logp(var, sum=False)[0],
- inputs=self.model.value_vars,
- on_unused_input="ignore",
- ),
- )
- for var in self.model.observed_RVs
- ]
- else:
- cached = [
- (
- var,
- self.model.compile_fn(
- self.model.logp(var, sum=False)[0],
- inputs=self.model.value_vars,
- on_unused_input="ignore",
- ),
- )
- for var in self.model.observed_RVs
- if var.name in self.log_likelihood
- ]
- log_likelihood_dict = _DefaultTrace(len(trace.chains))
- for var, log_like_fun in cached:
- for k, chain in enumerate(trace.chains):
- log_like_chain = [
- self.log_likelihood_vals_point(point, var, log_like_fun)
- for point in trace.points([chain])
- ]
- log_likelihood_dict.insert(var.name, np.stack(log_like_chain), k)
- return log_likelihood_dict.trace_dict
-
@requires("trace")
def posterior_to_xarray(self):
"""Convert the posterior to an xarray dataset."""
@@ -382,49 +319,6 @@ def sample_stats_to_xarray(self):
),
)
- @requires("trace")
- @requires("model")
- def log_likelihood_to_xarray(self):
- """Extract log likelihood and log_p data from PyMC trace."""
- if self.predictions or not self.log_likelihood:
- return None
- data_warmup = {}
- data = {}
- warn_msg = (
- "Could not compute log_likelihood, it will be omitted. "
- "Check your model object or set log_likelihood=False"
- )
- if self.posterior_trace:
- try:
- data = self._extract_log_likelihood(self.posterior_trace)
- except TypeError:
- warnings.warn(warn_msg)
- if self.warmup_trace:
- try:
- data_warmup = self._extract_log_likelihood(self.warmup_trace)
- except TypeError:
- warnings.warn(warn_msg)
- return (
- dict_to_dataset(
- data,
- library=pymc,
- dims=self.dims,
- coords=self.coords,
- skip_event_dims=True,
- ),
- dict_to_dataset(
- data_warmup,
- library=pymc,
- dims=self.dims,
- coords=self.coords,
- skip_event_dims=True,
- ),
- )
-
- return dict_to_dataset(
- data, library=pymc, coords=self.coords, dims=self.dims, default_dims=self.sample_dims
- )
-
@requires(["posterior_predictive"])
def posterior_predictive_to_xarray(self):
"""Convert posterior_predictive samples to xarray."""
@@ -509,7 +403,6 @@ def to_inference_data(self):
id_dict = {
"posterior": self.posterior_to_xarray(),
"sample_stats": self.sample_stats_to_xarray(),
- "log_likelihood": self.log_likelihood_to_xarray(),
"posterior_predictive": self.posterior_predictive_to_xarray(),
"predictions": self.predictions_to_xarray(),
**self.priors_to_xarray(),
@@ -519,7 +412,19 @@ def to_inference_data(self):
id_dict["predictions_constant_data"] = self.constant_data_to_xarray()
else:
id_dict["constant_data"] = self.constant_data_to_xarray()
- return InferenceData(save_warmup=self.save_warmup, **id_dict)
+ idata = InferenceData(save_warmup=self.save_warmup, **id_dict)
+ if self.log_likelihood:
+ from pymc.stats.log_likelihood import compute_log_likelihood
+
+ idata = compute_log_likelihood(
+ idata,
+ var_names=None if self.log_likelihood is True else self.log_likelihood,
+ extend_inferencedata=True,
+ model=self.model,
+ sample_dims=self.sample_dims,
+ progressbar=False,
+ )
+ return idata
def to_inference_data(
@@ -527,7 +432,7 @@ def to_inference_data(
*,
prior: Optional[Mapping[str, Any]] = None,
posterior_predictive: Optional[Mapping[str, Any]] = None,
- log_likelihood: Union[bool, Iterable[str]] = True,
+ log_likelihood: Union[bool, Iterable[str]] = False,
coords: Optional[CoordSpec] = None,
dims: Optional[DimSpec] = None,
sample_dims: Optional[List] = None,
diff --git a/pymc/sampling/jax.py b/pymc/sampling/jax.py
index a50943df8..c3ac07fa3 100644
--- a/pymc/sampling/jax.py
+++ b/pymc/sampling/jax.py
@@ -412,7 +412,7 @@ def sample_blackjax_nuts(
else:
idata_kwargs = idata_kwargs.copy()
- if idata_kwargs.pop("log_likelihood", bool(model.observed_RVs)):
+ if idata_kwargs.pop("log_likelihood", False):
tic5 = datetime.now()
print("Computing Log Likelihood...", file=sys.stdout)
log_likelihood = _get_log_likelihood(
@@ -634,7 +634,7 @@ def sample_numpyro_nuts(
else:
idata_kwargs = idata_kwargs.copy()
- if idata_kwargs.pop("log_likelihood", bool(model.observed_RVs)):
+ if idata_kwargs.pop("log_likelihood", False):
tic5 = datetime.now()
print("Computing Log Likelihood...", file=sys.stdout)
log_likelihood = _get_log_likelihood(
diff --git a/pymc/stats/__init__.py b/pymc/stats/__init__.py
index 0880ca8b5..18ea074ba 100644
--- a/pymc/stats/__init__.py
+++ b/pymc/stats/__init__.py
@@ -27,5 +27,6 @@
if not attr.startswith("__"):
setattr(sys.modules[__name__], attr, obj)
+from pymc.stats.log_likelihood import compute_log_likelihood
-__all__ = tuple(az.stats.__all__)
+__all__ = ("compute_log_likelihood",) + tuple(az.stats.__all__)
diff --git a/pymc/stats/log_likelihood.py b/pymc/stats/log_likelihood.py
new file mode 100644
index 000000000..ec473536f
--- /dev/null
+++ b/pymc/stats/log_likelihood.py
@@ -0,0 +1,130 @@
+# Copyright 2022 The PyMC Developers
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from typing import Optional, Sequence
+
+import numpy as np
+
+from arviz import InferenceData, dict_to_dataset
+from fastprogress import progress_bar
+
+import pymc
+
+from pymc.backends.arviz import _DefaultTrace
+from pymc.model import Model, modelcontext
+from pymc.util import dataset_to_point_list
+
+__all__ = ("compute_log_likelihood",)
+
+
+def compute_log_likelihood(
+ idata: InferenceData,
+ *,
+ var_names: Optional[Sequence[str]] = None,
+ extend_inferencedata: bool = True,
+ model: Optional[Model] = None,
+ sample_dims: Sequence[str] = ("chain", "draw"),
+ progressbar=True,
+):
+ """Compute elemwise log_likelihood of model given InferenceData with posterior group
+
+ Parameters
+ ----------
+ idata : InferenceData
+ InferenceData with posterior group
+ var_names : sequence of str, optional
+ List of Observed variable names for which to compute log_likelihood. Defaults to all observed variables
+ extend_inferencedata : bool, default True
+ Whether to extend the original InferenceData or return a new one
+ model : Model, optional
+ sample_dims : sequence of str, default ("chain", "draw")
+ progressbar : bool, default True
+
+ Returns
+ -------
+ idata : InferenceData
+ InferenceData with log_likelihood group
+
+ """
+
+ posterior = idata["posterior"]
+
+ model = modelcontext(model)
+
+ if var_names is None:
+ observed_vars = model.observed_RVs
+ var_names = tuple(rv.name for rv in observed_vars)
+ else:
+ observed_vars = [model.named_vars[name] for name in var_names]
+ if not set(observed_vars).issubset(model.observed_RVs):
+ raise ValueError(f"var_names must refer to observed_RVs in the model. Got: {var_names}")
+
+ # We need to temporarily disable transforms, because the InferenceData only keeps the untransformed values
+ # pylint: disable=used-before-assignment
+ try:
+ original_rvs_to_values = model.rvs_to_values
+ original_rvs_to_transforms = model.rvs_to_transforms
+
+ model.rvs_to_values = {
+ rv: rv.clone() if rv not in model.observed_RVs else value
+ for rv, value in model.rvs_to_values.items()
+ }
+ model.rvs_to_transforms = {rv: None for rv in model.basic_RVs}
+
+ elemwise_loglike_fn = model.compile_fn(
+ inputs=model.value_vars,
+ outs=model.logp(vars=observed_vars, sum=False),
+ on_unused_input="ignore",
+ )
+ finally:
+ model.rvs_to_values = original_rvs_to_values
+ model.rvs_to_transforms = original_rvs_to_transforms
+ # pylint: enable=used-before-assignment
+
+ # Ignore Deterministics
+ posterior_values = posterior[[rv.name for rv in model.free_RVs]]
+ posterior_pts, stacked_dims = dataset_to_point_list(posterior_values, sample_dims)
+ n_pts = len(posterior_pts)
+ loglike_dict = _DefaultTrace(n_pts)
+ indices = range(n_pts)
+ if progressbar:
+ indices = progress_bar(indices, total=n_pts, display=progressbar)
+
+ for idx in indices:
+ loglikes_pts = elemwise_loglike_fn(posterior_pts[idx])
+ for rv_name, rv_loglike in zip(var_names, loglikes_pts):
+ loglike_dict.insert(rv_name, rv_loglike, idx)
+
+ loglike_trace = loglike_dict.trace_dict
+ for key, array in loglike_trace.items():
+ loglike_trace[key] = array.reshape(
+ (*[len(coord) for coord in stacked_dims.values()], *array.shape[1:])
+ )
+
+ loglike_dataset = dict_to_dataset(
+ loglike_trace,
+ library=pymc,
+ dims={dname: list(dvals) for dname, dvals in model.named_vars_to_dims.items()},
+ coords={
+ cname: np.array(cvals) if isinstance(cvals, tuple) else cvals
+ for cname, cvals in model.coords.items()
+ },
+ default_dims=list(sample_dims),
+ skip_event_dims=True,
+ )
+
+ if extend_inferencedata:
+ idata.add_groups(dict(log_likelihood=loglike_dataset))
+ return idata
+ else:
+ return loglike_dataset
diff --git a/pymc/tests/backends/test_arviz.py b/pymc/tests/backends/test_arviz.py
index 4e9e6d55c..11214ff33 100644
--- a/pymc/tests/backends/test_arviz.py
+++ b/pymc/tests/backends/test_arviz.py
@@ -63,7 +63,11 @@ def data(self, eight_schools_params, draws, chains):
sigma=eight_schools_params["sigma"],
observed=eight_schools_params["y"],
)
- trace = pm.sample(draws, chains=chains, return_inferencedata=False)
+ trace = pm.sample(
+ draws,
+ chains=chains,
+ return_inferencedata=False,
+ )
return self.Data(model, trace)
@@ -78,6 +82,7 @@ def get_inference_data(self, data, eight_schools_params):
trace=data.obj,
prior=prior,
posterior_predictive=posterior_predictive,
+ log_likelihood=True,
coords={"school": np.arange(eight_schools_params["J"])},
dims={"theta": ["school"], "eta": ["school"]},
model=data.model,
@@ -145,7 +150,6 @@ def test_predictions_to_idata(self, data, eight_schools_params):
test_dict = {
"posterior": ["mu", "tau", "eta", "theta"],
"sample_stats": ["diverging", "lp"],
- "log_likelihood": ["obs"],
"predictions": ["obs"],
"prior": ["mu", "tau", "eta", "theta"],
"observed_data": ["obs"],
@@ -216,7 +220,6 @@ def test_posterior_predictive_thinned(self, data):
test_dict = {
"posterior": ["mu", "tau", "eta", "theta"],
"sample_stats": ["diverging", "lp", "~log_likelihood"],
- "log_likelihood": ["obs"],
"posterior_predictive": ["obs"],
"observed_data": ["obs"],
}
@@ -314,7 +317,9 @@ def test_missing_data_model(self):
x = pm.Normal("x", 1, 1)
with pytest.warns(ImputationWarning):
y = pm.Normal("y", x, 1, observed=data)
- inference_data = pm.sample(100, chains=2, return_inferencedata=True)
+ inference_data = pm.sample(
+ 100, chains=2, return_inferencedata=True, idata_kwargs=dict(log_likelihood=True)
+ )
# make sure that data is really missing
assert "y_missing" in model.named_vars
@@ -393,8 +398,10 @@ def test_multiple_observed_rv(self, log_likelihood):
def test_single_observation(self):
with pm.Model():
p = pm.Uniform("p", 0, 1)
- pm.Binomial("w", p=p, n=2, observed=1)
- inference_data = pm.sample(500, chains=2, return_inferencedata=True)
+ pm.Binomial("w", p=p, n=2, observed=[1])
+ inference_data = pm.sample(
+ 500, chains=2, return_inferencedata=True, idata_kwargs=dict(log_likelihood=True)
+ )
assert inference_data
assert inference_data.log_likelihood["w"].shape == (2, 500, 1)
@@ -417,10 +424,10 @@ def test_constant_data(self, use_context):
obs = pm.Normal("obs", x * beta, 1, observed=y) # pylint: disable=unused-variable
trace = pm.sample(100, chains=2, tune=100, return_inferencedata=False)
if use_context:
- inference_data = to_inference_data(trace=trace)
+ inference_data = to_inference_data(trace=trace, log_likelihood=True)
if not use_context:
- inference_data = to_inference_data(trace=trace, model=model)
+ inference_data = to_inference_data(trace=trace, model=model, log_likelihood=True)
test_dict = {"posterior": ["beta"], "observed_data": ["obs"], "constant_data": ["x"]}
fails = check_multiple_attrs(test_dict, inference_data)
assert not fails
@@ -542,7 +549,13 @@ def test_multivariate_observations(self):
pm.Multinomial("y", 20, p, dims=("experiment", "direction"), observed=data)
with warnings.catch_warnings():
warnings.filterwarnings("ignore", ".*number of samples.*", UserWarning)
- idata = pm.sample(draws=50, chains=2, tune=100, return_inferencedata=True)
+ idata = pm.sample(
+ draws=50,
+ chains=2,
+ tune=100,
+ return_inferencedata=True,
+ idata_kwargs=dict(log_likelihood=True),
+ )
test_dict = {
"posterior": ["p"],
"sample_stats": ["lp"],
diff --git a/pymc/tests/sampling/test_forward.py b/pymc/tests/sampling/test_forward.py
index 4eaa79504..563bca9b1 100644
--- a/pymc/tests/sampling/test_forward.py
+++ b/pymc/tests/sampling/test_forward.py
@@ -741,7 +741,6 @@ def test_idata_extension(self):
base_test_dict = {
"posterior": ["mu", "~a"],
"sample_stats": ["diverging", "lp"],
- "log_likelihood": ["a"],
"observed_data": ["a"],
}
test_dict = {"~posterior_predictive": [], "~predictions": [], **base_test_dict}
diff --git a/pymc/tests/sampling/test_jax.py b/pymc/tests/sampling/test_jax.py
index 34d7a4035..ab20aca66 100644
--- a/pymc/tests/sampling/test_jax.py
+++ b/pymc/tests/sampling/test_jax.py
@@ -140,7 +140,13 @@ def test_get_log_likelihood():
with warnings.catch_warnings():
warnings.filterwarnings("ignore", ".*number of samples.*", UserWarning)
- trace = pm.sample(tune=10, draws=10, chains=2, random_seed=1322)
+ trace = pm.sample(
+ tune=10,
+ draws=10,
+ chains=2,
+ random_seed=1322,
+ idata_kwargs=dict(log_likelihood=True),
+ )
b_true = trace.log_likelihood.b.values
a = np.array(trace.posterior.a)
@@ -197,7 +203,7 @@ def model_test_idata_kwargs() -> pm.Model:
"idata_kwargs",
[
dict(),
- dict(log_likelihood=False),
+ dict(log_likelihood=True),
# Overwrite models coords
dict(coords={"x_coord": ["x1", "x2"]}),
# Overwrite dims from dist specification in model
@@ -228,7 +234,7 @@ def test_idata_kwargs(
assert "constantdata" in const_data
assert "mutabledata" in const_data
- if idata_kwargs.get("log_likelihood", True):
+ if idata_kwargs.get("log_likelihood", False):
assert "log_likelihood" in idata
else:
assert "log_likelihood" not in idata
diff --git a/pymc/tests/stats/__init__.py b/pymc/tests/stats/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/pymc/tests/stats/test_log_likelihood.py b/pymc/tests/stats/test_log_likelihood.py
new file mode 100644
index 000000000..11b429f1c
--- /dev/null
+++ b/pymc/tests/stats/test_log_likelihood.py
@@ -0,0 +1,106 @@
+import numpy as np
+import pytest
+import scipy.stats as st
+
+from arviz import InferenceData, dict_to_dataset
+
+from pymc.distributions import Dirichlet, Normal
+from pymc.distributions.transforms import log
+from pymc.model import Model
+from pymc.stats.log_likelihood import compute_log_likelihood
+from pymc.tests.distributions.test_multivariate import dirichlet_logpdf
+
+
+class TestComputeLogLikelihood:
+ @pytest.mark.parametrize("transform", (False, True))
+ def test_basic(self, transform):
+ transform = log if transform else None
+ with Model(coords={"test_dim": range(3)}) as m:
+ x = Normal("x", transform=transform)
+ x_value_var = m.rvs_to_values[x]
+ y = Normal("y", x, observed=[0, 1, 2], dims=("test_dim",))
+
+ idata = InferenceData(posterior=dict_to_dataset({"x": np.arange(100).reshape(4, 25)}))
+ res = compute_log_likelihood(idata)
+
+ # Check we didn't erase the original mappings
+ assert m.rvs_to_values[x] is x_value_var
+ assert m.rvs_to_transforms[x] is transform
+
+ assert res is idata
+ assert res.log_likelihood.dims == {"chain": 4, "draw": 25, "test_dim": 3}
+
+ np.testing.assert_allclose(
+ res.log_likelihood["y"].values,
+ st.norm.logpdf([0, 1, 2], np.arange(100)[:, None]).reshape(4, 25, 3),
+ )
+
+ def test_multivariate(self):
+ rng = np.random.default_rng(39)
+
+ p_draws = rng.normal(size=(4, 25, 3))
+ y_draws = st.dirichlet(np.ones(3)).rvs(10, random_state=rng)
+ with Model(coords={"test_event_dim": range(10), "test_support_dim": range(3)}) as m:
+ p = Normal("p", dims=("test_support_dim",))
+ y = Dirichlet(
+ "y", a=p.exp(), observed=y_draws, dims=("test_event_dim", "test_support_dim")
+ )
+
+ idata = InferenceData(posterior=dict_to_dataset({"p": p_draws}))
+ res = compute_log_likelihood(idata)
+
+ assert res.log_likelihood.dims == {"chain": 4, "draw": 25, "test_event_dim": 10}
+
+ np.testing.assert_allclose(
+ res.log_likelihood["y"].values,
+ dirichlet_logpdf(y_draws, np.exp(p_draws)[..., None, :]),
+ )
+
+ def test_var_names(self):
+ with Model() as m:
+ x = Normal("x")
+ y1 = Normal("y1", x, observed=[0, 1, 2])
+ y2 = Normal("y2", x, observed=[3, 4])
+
+ idata = InferenceData(posterior=dict_to_dataset({"x": np.arange(100).reshape(4, 25)}))
+
+ res_y1 = compute_log_likelihood(
+ idata, var_names=["y1"], extend_inferencedata=False, model=m, progressbar=False
+ )
+ assert res_y1 is not idata
+ assert set(res_y1.data_vars) == {"y1"}
+ np.testing.assert_allclose(
+ res_y1["y1"].values,
+ st.norm.logpdf([0, 1, 2], np.arange(100)[:, None]).reshape(4, 25, 3),
+ )
+
+ res_y2 = compute_log_likelihood(
+ idata, var_names=["y2"], extend_inferencedata=False, model=m, progressbar=False
+ )
+ assert res_y2 is not idata
+ assert set(res_y2.data_vars) == {"y2"}
+ np.testing.assert_allclose(
+ res_y2["y2"].values,
+ st.norm.logpdf([3, 4], np.arange(100)[:, None]).reshape(4, 25, 2),
+ )
+
+ res_both = compute_log_likelihood(idata, model=m, progressbar=False)
+ assert res_both is idata
+ assert set(res_both.log_likelihood.data_vars) == {"y1", "y2"}
+ np.testing.assert_allclose(
+ res_y1["y1"].values,
+ res_both.log_likelihood["y1"].values,
+ )
+ np.testing.assert_allclose(
+ res_y2["y2"].values,
+ res_both.log_likelihood["y2"].values,
+ )
+
+ def test_invalid_var_names(self):
+ with Model() as m:
+ x = Normal("x")
+ y = Normal("y", x, observed=[0, 1, 2])
+
+ idata = InferenceData(posterior=dict_to_dataset({"x": np.arange(100).reshape(4, 25)}))
+ with pytest.raises(ValueError, match="var_names must refer to observed_RVs"):
+ compute_log_likelihood(idata, var_names=["x"])