zsmash

Cythonized Libraires of ZeD Code

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Project description

# zsmash

—

Rapid evaluation of quantified simialrity between streaming data using data smashing and newer implementations

These details have not been verified by PyPI

0.0.2

Nov 17, 2022

This version

0.0.1

Nov 10, 2022

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Uploaded Nov 10, 2022 Source

Uploaded Nov 10, 2022 CPython 3.10 manylinux: glibc 2.28+ x86-64

Uploaded Nov 10, 2022 CPython 3.9 manylinux: glibc 2.28+ x86-64

Uploaded Nov 10, 2022 CPython 3.8 manylinux: glibc 2.28+ x86-64

Uploaded Nov 10, 2022 CPython 3.7m manylinux: glibc 2.28+ x86-64

Uploaded Nov 10, 2022 CPython 3.6m manylinux: glibc 2.28+ x86-64

Hashes for zsmash-0.0.1-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`7061d93c66800f95b42ceee19dc9cbbfb24016226dd39d20ee2e01d71302061d`
MD5	`e5fdda6b39eb304097ab1d87549e4c53`
BLAKE2b-256	`1fc6f3cf75d0c820cf6ea68e186bbff700c412ecd610f85c6eb96cec33a2d400`

Hashes for zsmash-0.0.1-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`f8173a92d0a9c30528c6880a889fbbcb0feeb0312996fe5552edddfc6fbc6c02`
MD5	`a8ef497b3c596aab92330b1079dad771`
BLAKE2b-256	`7f7cc66ee15bdaf4e15c47cb60ec7d97690cdfbeb3b235621e310c1923a3a060`

Hashes for zsmash-0.0.1-cp37-cp37m-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`303577609df4fc6f6044a9cf70aa074f08115efe01cb2ec7657fa13adfb46bca`
MD5	`e50c5fa4b4b50c94f413046ade0d7f5e`
BLAKE2b-256	`80e4792ff2d168aca36f7f401e3c66637c18dbb9e39f11c3124db49f26ecfa30`

Hashes for zsmash-0.0.1-cp36-cp36m-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`44f0ce4c06a2c1cbb6378779992dce3bab6518a9c4abaa274c4351a4fc252885`
MD5	`a9e952079a68fe16bd520e81eae26666`
BLAKE2b-256	`0d160ba13866ba866d151d0e4fb28cc2ee5884e1f4932da51c6ddbfa75128f51`