pymc-devs / pymc-devs/pytensor

Implement equivalent to `np.diag_indices` and `np.diag_indices_from`

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beginner friendly NumPy compatibility
Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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Description

Description

Shoud be simple, just use pt.arange to allow symbolic inputs: https://github.com/numpy/numpy/blob/e7a123b2d3eca9897843791dd698c1803d9a39c2/numpy/lib/_index_tricks_impl.py#L1010-L1011

And for diag_indices_from:
https://github.com/numpy/numpy/blob/e7a123b2d3eca9897843791dd698c1803d9a39c2/numpy/lib/_index_tricks_impl.py#L1062-L1069

I would perhaps use pt.max(arr.shape) instead, and let indexing fail at runtime if it was not all square?

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Research direction

Start by reading the linked NumPy implementations of np.diag_indices and np.diag_indices_from, then locate the corresponding array-indexing entry points in PyTensor. Implement equivalent behavior using symbolic inputs and resolve how nonsquare shapes should be handled. Done means both operations work with symbolic shapes and match the intended NumPy behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
numpy, python
Domain
data
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
48/100

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