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Remove TODO from contributing guide (#5306)
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docs/source/contributing/developer_guide_implementing_distribution.md

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This guide provides an overview on how to implement a distribution for version 4 of PyMC.
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It is designed for developers who wish to add a new distribution to the library.
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Users will not be aware of all this complexity and should instead make use of helper methods such as (TODO).
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Users will not be aware of all this complexity and should instead make use of helper methods such as `~pymc.distributions.DensityDist`.
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PyMC {class}`~pymc.distributions.Distribution` builds on top of Aesara's {class}`~aesara.tensor.random.op.RandomVariable`, and implements `logp`, `logcdf` and `get_moment` methods as well as other initialization and validation helpers.
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Most notably `shape/dims` kwargs, alternative parametrizations, and default `transforms`.

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