Documentation: https://array-api-shape-check.readthedocs.io
Source Code: https://github.com/34j/array-api-shape-check
Check shapes of input arrays easily.
Install this via pip (or your favourite package manager):
pip install array-api-shape-check
>>> from array_api_shape_check import check_shapes
>>> info = check_shapes("ij,*k*l,*li", (1, 4), (5, 6, 7), (1, 7, 3))
>>> info.all
((i:1->3, j:4), (*k:(5,), *l:(6, 7)), (*l:(1, 7)->(6, 7), i:3))
>>> info.unique
{'i': i:3, 'j': j:4, 'k': *k:(5,), 'l': *l:(6, 7)}Internally check_shapes() calls parse_variable_ndim(), which determines the number of dimensions for variable subscripts by least squares. If this is successful, checks if each subscript is consistent, then finnaly raises error for all inconsistencies at once.
Diving into the details of the first item:
>>> item = info.all[0][0]
>>> item.name # the name of the subscript
'i'
>>> item.is_variable # whether the subscript is variable (starts with "*")
False
>>> item.shape_current # the current shape of the subscript
(1,)
>>> item.shape_broadcasted # the broadcasted shape of the subscript
(3,)Not enough information to determine variable subscript ndims:
>>> import pytest
>>> from array_api_shape_check import InconsistentNdimErrorMultipleSolutions, InconsistentNdimErrorNoSolutions, InconsistentShapeError
>>> with pytest.raises(InconsistentNdimErrorMultipleSolutions, match="number of variables"):
... check_shapes("*i*j", (1, 1))
>>> with pytest.raises(InconsistentNdimErrorMultipleSolutions, match="rank"):
... check_shapes("*i*j,*i*j", (1, 1), (1, 1))No solution to determine variable subscript ndims:
>>> with pytest.raises(InconsistentNdimErrorNoSolutions, match="residuals"):
... check_shapes("*i,*i", (1, 1), (1, 1, 1))
>>> with pytest.raises(InconsistentNdimErrorNoSolutions, match="negative"):
... check_shapes("*ij", ())Does not match:
>>> with pytest.raises(InconsistentShapeError):
... check_shapes("ij,*k*l,*li", (3, 4), (5, 6), (1, 7, 3))Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
This package was created with Copier and the browniebroke/pypackage-template project template.