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BUG: fix str_ and bytes_ scalars not supporting [()] indexing - #31796

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Mohataseem89:fix/31435-str-bytes-scalar-indexing
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Mohataseem89 wants to merge 5 commits into
numpy:mainfrom
Mohataseem89:fix/31435-str-bytes-scalar-indexing

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Fixes #31435

Summary

numpy.str_ and numpy.bytes_ inherit Python's str.__getitem__ and
bytes.__getitem__, which intercept [()] (empty tuple) before NumPy's
0-d scalar indexing protocol, raising TypeError instead of returning
the scalar value. This is inconsistent with all other NumPy scalar types
where scalar[()] works correctly

Root cause

PyStringArrType_Type and PyUnicodeArrType_Type had no tp_as_mapping
slot, so Python's built-in string subscript ran instead of NumPy's generic
scalar handler

Fix

Added stringtype_subscript in scalartypes.c.src that intercepts the
empty-tuple case and delegates to .item(), with fallback to
object_arrtype_subscript for other keys. Both string types now have
tp_as_mapping = &stringtype_as_mapping set in initialize_numeric_types

Tests

import numpy as np
assert np.str_('hello')[()] == 'hello'
assert np.bytes_(b'hello')[()] == b'hello'
assert np.int64(5)[()] == 5          # existing behavior unchanged
assert np.float64(3.14)[()] == 3.14  # existing behavior unchanged

all assertions pass on the patched build

@ngoldbaum
ngoldbaum marked this pull request as draft June 29, 2026 22:54
@ngoldbaum

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I converted this to draft because the CI results indicate that this is jot yet fully baked.

@Mohataseem89

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The CI failures here are unrelated to this change. i traced the build failure locally main currently fails to compile due to PyTuple_FromArray, an undefined function used in numpy/_core/src/umath/ufunc_object.c (introduced in commit 45f7d0df718, March 2026, by Pieter Eendebak). I confirmed this against the live upstream/main HEAD just now via git show upstream/main:numpy/_core/src/umath/ufunc_object.c. this blocks compilation entirely and is independent of my scalartypes.c.src change. tagging @ngoldbaum since you marked this draft wanted to clarify the CI failures are not from this PR

@ngoldbaum

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No other PRs are failing, you're wrong about that. Your local build is failing because you don't have the git submodules checked out.

@Mohataseem89

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@ngoldbaum i havve updated the fix. the previous version had an unsafe cast from PyObject * to PyObjectScalarObject * in the fallback path, which caused undefined behavior on ppc64le (explaining the segfault/exit code 245). the new version replaces that with PyArray_FromScalar + array_subscript which is the same pattern used by voidtype_subscript elsewhere in scalartypes.c.src verified locally with submodules properly initialized this time

numpy.str_ and numpy.bytes_ inherit Python's str.__getitem__ and
bytes.__getitem__, which intercept [()] (empty tuple) before NumPy's
0-d scalar indexing protocol, raising TypeError instead of returning
the scalar value.

Fix by adding a custom tp_as_mapping slot with stringtype_subscript
that intercepts the empty-tuple case via .item(), and delegates all
other keys to the generic 0-d array subscript path (PyArray_FromScalar
+ array_subscript) — the same pattern used by voidtype_subscript in
scalartypes.c.src.

Fixes: numpy#31435

Signed-off-by: Mohataseem Khan <[email protected]>
@Mohataseem89
Mohataseem89 force-pushed the fix/31435-str-bytes-scalar-indexing branch from 20ba59e to 5488b77 Compare July 1, 2026 11:28
@ngoldbaum

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But did you run the tests? All the test failures in CI are real. Please make sure the tests pass on your local clone of NumPy before doing further work here.

@Mohataseem89

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But did you run the tests? All the test failures in CI are real. Please make sure the tests pass on your local clone of NumPy before doing further work here.

You are right confirmed the test failures are real found it: my fallback path was routing all indexing through 0-d array subscript instead of falling back to str/bytes's native __getitem__ which broke plain indexing like s[0]. Pushing a fix asap

@ngoldbaum

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The one remaining debug interpreter crash is still real

@Mohataseem89
Mohataseem89 marked this pull request as ready for review July 21, 2026 16:57

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BUG: numpy.str_ and numpy.bytes_ scalars do not support [()] indexing despite having shape == ()

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