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1. Commits on Nov 13, 2026

   • Tensor: wide column MAX and MIN reductions keep every thread

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   • array_api: where over a base with entries selects and unions in GraphBLAS

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   • array_api: where stores a broadcast branch in full before scaling by it

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   • array_api: where reads a broadcast branch in GraphBLAS

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   • array_api: argmax and argmin along an axis run in GraphBLAS

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   • array_api: where with a bool condition and an unbroadcast branch stays in GraphBLAS

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   • array_api: where stores only the condition's entries that select the other operand

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   • array_api: the masked three-operand einsum leaves out 0-d operands

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   • array_api: 0-d Arrays share one empty Tensor per dtype, copy-on-write

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   • array_api: from_coo sums the values at a repeated coordinate

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   • array_api: xp.compute computes a pending Array now

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   • array_api: a bool result with fill True that stores mostly False flips to fill False

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   • array_api: xp.refill changes an Array's fill and keeps its values

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   • array_api: a semiring accepts an operand that stores every position

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   • array_api: fills that absorb the op make add, maximum and minimum intersect

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   • array_api: where stores the condition's entries over the operand its fill selects

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   • array_api: a three-operand einsum computes the pair under the third's pattern

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   • array_api: finite fills store in full under the limit; gather only past y's size

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   • array_api: a fully stored bool result decides on dropping False by a sample

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   • array_api: einsum factors out only finite scalars

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   • array_api: Arrays pickle through their coordinates

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   • array_api: row sums and scalar factors keep contractions sparse

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   • array_api: setitem with None in a basic key takes numpy's value shape

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   • array_api: semiring checks per object, a batched dot hint, and P * P computed once

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   • array_api: abs of a complex array keeps only the "zero" fact

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   • array_api: contractions ignore explicit fills, propagate NaN terms, and drop the fill split

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   • array_api: a one-sided product gathers a broadcast operand at the entries

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   • array_api: an SDDMM with inf, or that may overflow, computes the sparse product

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   • array_api: a fully stored bool result takes fill False, never True

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   • array_api: an in-place operator on a pending product forgets the product

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   • array_api: the SDDMM overflow bound reads magnitudes by two reductions

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   • array_api: a fully stored bool result takes its common value as the fill

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   • array_api: test the empty-ellipsis key with list, ndarray and Array indices

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   • array_api: an SDDMM asks for dot products when they are much cheaper

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   • array_api: a "..." that covers no axis separates advanced indices, as in numpy

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