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[Reliability Bayesian pymc-devs#474] corrected watermark to use pytensor and updated jupytext.toml
Signed-off-by: Nathaniel <[email protected]>
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.jupytext.toml

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notebook_metadata_filter = "substitutions"
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[formats]
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"examples/" = "ipynb"
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"myst_nbs/" = ".myst.md:myst"
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notebook_metadata_filter = "substitutions,-jupytext.text_representation.jupytext_version"
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formats = ["ipynb", ".myst.md:myst"]

examples/case_studies/reliability_and_calibrated_prediction.ipynb

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examples/case_studies/reliability_and_calibrated_prediction.myst.md

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from io import StringIO
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import aesara as at
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import arviz as az
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import matplotlib.cm as cm
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import matplotlib.pyplot as plt
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```{code-cell} ipython3
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%load_ext watermark
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%watermark -n -u -v -iv -w -p aesara,aeppl,xarray
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%watermark -n -u -v -iv -w -p pytensor
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```
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:::{include} ../page_footer.md

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