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sizes. Common operations on very small arrays are to 3-7 times faster than with NumPy (with NumPy 1.6 it used to be up to 35 times), and 3 times less memory is used to store them. Tinyarrays are useful if you need many small arrays of numbers, and cannot combine them into a few large ones. (The resulting code is still much slower than C, but it may now be fast enough.) WWW: https://gitlab.kwant-project.org/kwant/tinyarray
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137 B
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SHA256 (tinyarray-1.1.0.tar.gz) = d8c9c5f69c5be8ac00713eea3e82cf9f57353f09e1713be18f689efe08515f38
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SIZE (tinyarray-1.1.0.tar.gz) = 31712
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