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Package: python3-ml-dtypes (0.5.4-1)

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Several NumPy dtype extensions used in machine learning

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including:

 * bfloat16: an alternative to the standard float16 format
 * 8-bit floating point representations, parameterized by number of exponent
   and mantissa bits, as well as the bias (if any) and representability of
   infinity, NaN, and signed zero.
    float8_e3m4
    float8_e4m3
    float8_e4m3b11fnuz
    float8_e4m3fn
    float8_e4m3fnuz
    float8_e5m2
    float8_e5m2fnuz
    float8_e8m0fnu
 * Microscaling (MX) sub-byte floating point representations:
    float4_e2m1fn
    float6_e2m3fn
    float6_e3m2fn
 * Narrow integer encodings:
    int2
    int4
    uint2
    uint4

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Architecture Package Size Installed Size Files
alpha (unofficial port) 227.5 kB3,307.0 kB [list of files]
amd64 236.3 kB2,583.0 kB [list of files]
arm64 153.2 kB2,769.0 kB [list of files]
armhf 199.8 kB1,751.0 kB [list of files]
i386 194.1 kB3,017.0 kB [list of files]
loong64 206.3 kB3,281.0 kB [list of files]
m68k (unofficial port) 190.0 kB2,893.0 kB [list of files]
ppc64 (unofficial port) 225.3 kB4,179.0 kB [list of files]
ppc64el 247.2 kB3,665.0 kB [list of files]
riscv64 291.7 kB2,149.0 kB [list of files]
s390x 258.7 kB2,829.0 kB [list of files]
sh4 (unofficial port) 257.7 kB2,761.0 kB [list of files]
sparc64 (unofficial port) 214.1 kB4,209.0 kB [list of files]