Skip to main content

zfp compression in Python

Project description

zfp is a compressed format for representing multidimensional floating-point and integer arrays. zfp provides compressed-array classes that support high throughput read and write random access to individual array elements. zfp also supports serial and parallel compression of whole arrays using both lossless and lossy compression with error tolerances. zfp is primarily written in C and C++ but also includes Python and Fortran bindings.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

zfpy-1.0.0-cp312-cp312-win_amd64.whl (147.4 kB view details)

Uploaded CPython 3.12 Windows x86-64

zfpy-1.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (823.7 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

zfpy-1.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (817.7 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

zfpy-1.0.0-cp312-cp312-macosx_11_0_arm64.whl (105.1 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

zfpy-1.0.0-cp312-cp312-macosx_10_9_x86_64.whl (249.8 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

zfpy-1.0.0-cp311-cp311-win_amd64.whl (129.2 kB view details)

Uploaded CPython 3.11 Windows x86-64

zfpy-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

zfpy-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (754.5 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

zfpy-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl (226.9 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

zfpy-1.0.0-cp311-cp311-macosx_10_9_universal2.whl (416.1 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

zfpy-1.0.0-cp310-cp310-win_amd64.whl (130.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

zfpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (729.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

zfpy-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (726.5 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

zfpy-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl (499.7 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

zfpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl (422.2 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

zfpy-1.0.0-cp39-cp39-win_amd64.whl (132.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

zfpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

zfpy-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (736.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

zfpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl (500.4 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

zfpy-1.0.0-cp39-cp39-macosx_10_9_universal2.whl (422.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

zfpy-1.0.0-cp38-cp38-win_amd64.whl (132.4 kB view details)

Uploaded CPython 3.8 Windows x86-64

zfpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (743.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

zfpy-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (743.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

zfpy-1.0.0-cp38-cp38-macosx_11_0_universal2.whl (416.5 kB view details)

Uploaded CPython 3.8 macOS 11.0+ universal2 (ARM64, x86-64)

zfpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl (496.7 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

zfpy-1.0.0-cp37-cp37m-win_amd64.whl (130.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

zfpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (694.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

zfpy-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (693.4 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

zfpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (496.1 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file zfpy-1.0.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: zfpy-1.0.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 147.4 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for zfpy-1.0.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 cfcb6d31cce4f2cdf4ff47878e9f88ba258c9e13b338530dc13d695cd8ce8c8a
MD5 4a61cce07ac921f14790ec0a39626d8f
BLAKE2b-256 a3c664c0415caff6b4a7b7c52cb4cb1d4769fbe0e238371ba7cd24f746a58a6f

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 89ae278955aa7c9213285c1f805970ac60863f73be55a3a16a94fb72d12e0497
MD5 7b64a1dbbdd0f82ee08df96e92b12440
BLAKE2b-256 e837b5fff6870d222bd1bbff7bd50202ae91dd737f3360518e8667a7bc400056

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9da35d13a8bd930d34060a7e8cf2180dbdbd38ebe28a6ef22c989850a611efc4
MD5 c7917a79aba4cc574decd9366ca78565
BLAKE2b-256 717738bcd958e77b85448e10697710e567f9b6127fea757b049a55a036a2fefb

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 578c8cac4e7840018eef509266d50d1a3c612d0dcfc8e071bb0adee831643747
MD5 59c22b0f968b87ad5adb3d861356656a
BLAKE2b-256 c59335be9d5fd0b0a69a199f42221a398bfad061e7ed81fd3cae0fe36a260539

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 483f8fc0cac4a4ba53cc4b3fdd182df2f53883735584a907ea314d1630c5ffe3
MD5 a4e9a7bdef8e625e92e3eabe724c07bc
BLAKE2b-256 cfe734be9681fca3611ad51719653428512001439affee0b50b3e111be5a79db

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: zfpy-1.0.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 129.2 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for zfpy-1.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 16165b17cbb64076f70a26bb4f99d2688130d602f4a30f9133c14e4c6472a7a5
MD5 d68758c8f28d18c22ae6e2bf6ccc3111
BLAKE2b-256 06b27f72e283cf8db5c203a7b79c08b6930c85087bd31e4edb0cde10495742eb

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 90d58ac9594f8f5ca6f37a94bec74c527e1e9daac388920239565edbabb9865c
MD5 c3d3887c01c872c3ec1d2f0bdeb1e215
BLAKE2b-256 62057fb623d04a8a4a3e4960ee04370feb74fc66cf2ac511f8ddf31511d905b5

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7e03f91e3d82fb4df999a5dbb20b30b84a948a08c99ebcd4abecf77c14364e58
MD5 c2236fcc29cbd5284d07000135f7c515
BLAKE2b-256 0befa4e58d84fc1a4bb6fbc48d4b84bf72d68d9d509aa144515e62085384b8e7

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 30fc7c1e1c2cf6c0a938958399e08e79f34264396d8667f75aa39b847075dc48
MD5 980601a339ab52e3f812d7e512956c0b
BLAKE2b-256 7c760d969a1d5478863753c45bea5000dc4480cb111f3165992290f99f90f619

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 f693d1e9175ff991d9e062e33862ec4245003beea043f7e069feb03463b3d6de
MD5 0e4a6de28db818fb5fb963f55f4dd5f1
BLAKE2b-256 c94e457077fe5bab48e3fa8f59e0440d04add9409cb450aa07f83d6d4a361917

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: zfpy-1.0.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 130.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for zfpy-1.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 15c270207a12c2fa001fbabb675b4595be6685346793f4ebe6e12e9eb52dc966
MD5 900b6e49a67a585aca371ea28668d7bd
BLAKE2b-256 d7c66bcf31e3de238be4add059b72326d221b6b6dcd5f792fde97328332d4ca6

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83f53d5a9599a8ae72fafb03587f375993b8ea64adc7e097a16a32645319a030
MD5 1e02f80771afe9c2708de8c8ea8a0360
BLAKE2b-256 951baaceef453f00ad4ff2c2837d3630f085bc163e3c2f3a1fdada5ef533c3b8

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 92953e42920e38faa6e166fd414e49ce8d4c9f5d1c32e264cd624121cda587c7
MD5 1ddd98bbce5bd156ae0f40af64c917ad
BLAKE2b-256 5bc9a5e5d1b9706f3ab74fae29f87c0b0e20e9725aa68960bee689fd49002186

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 96d6f69de8fe41e4fab5fc1ee1b4c9fe21fef06440a87ef2ce8755a67de3aac6
MD5 5ab81e65439c972e98a8868e73bba788
BLAKE2b-256 aa0926dee02b3c0776475c8a3c74328a12c05dc07f76cb47a20c4785bb6664f1

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 290136c1648e90f4ec5741127a7f5a07fa0a6b57fc02a8dcb7b5a4067cb281e1
MD5 8c336c4ab434f839de294be42b164d33
BLAKE2b-256 c914f3bf9bcbba5e6aad7f46e0420eafd28d94e0b2fd1a2c60a0e6cab51f684d

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: zfpy-1.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 132.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for zfpy-1.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 591e63b64a70d6ba09c335da56fd8ef357f81cff72f1e9f5bb56d579ef9bc59d
MD5 5edb06c2d4fcc4fcea22dabdfb25d441
BLAKE2b-256 3433e5bb03c5eab74aa4fd1bbe03639643d50019e0de67b7db8ede0fe1fc0065

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 36ee8e25eb3303c069b42b76c7d50facc2a50f378c94ddbc70028e2d1e972ac1
MD5 d2011502a2bec550f5c9fd54f5973193
BLAKE2b-256 53f07616a5c63cece777ac20ca1a94f43ac7bda3768046f2a928416e0bc63a63

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 58fb08d549ffae7dd8e2605ee1949b4f005caa7a1c0ebd2ba33b1b78b8530b23
MD5 1097661664b6f1ed6837070221f58fdb
BLAKE2b-256 4c843b12f82ac1d917afec2d9b632ec2e5db5a33c0bde177a7b2bf910ec485df

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7f675b03ff7d3af84a67c07c4ff9679e5eb720a29d0619c658ae7ff1a050c971
MD5 f124760bf246f7043498fc5579ca0dc1
BLAKE2b-256 9fe7f1474cbb4f180207fcda8cb17451dcfaf0ab955c2c1cb5e847a893406f70

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 855913c66150b661e893f7448823d839dc8511ae81248831ba70e3187f93eb33
MD5 1a15f41e65e4b3d116baf4f10b9c6c7f
BLAKE2b-256 f01b3a34fa90930663b35e7db711a303e0c1e8de36ba04860b45d9cb52f2877c

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: zfpy-1.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 132.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for zfpy-1.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 005d110a51cd27ba921097c43d2ebfb43663c5df8534feece87d02b7cea0f87c
MD5 82a790d410e6ae9d0dd9ffe1c3a9e48d
BLAKE2b-256 7d0f47b334beea311590ae66a50c29dfa35a9849981a0257e611beb50584e5bb

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2f0ce16f71078995cc164f20b5d4508ca18d4d441dc3e8b9f48ac0320e0ad1fd
MD5 8c0fcee18aace6f67763e997b8bae33c
BLAKE2b-256 8c294f07ac43f67f24599224086d3cfba90c41161d533185a43e4776b55af194

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 581cfd62574656cc12d9a10178c29485d582537b2d3666733ec9b42dbcfa6943
MD5 a3bdd5c4f1eefd3577ed1e89d8d9993e
BLAKE2b-256 be8e0b1f45b11be1d01885e259c975d211c9e45b77faca4fb7cc151b2da4b1aa

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 db17f2d2054476092fc007dd11840442f7ce40e50eb118f1865ceaf2344c4b3e
MD5 82393707ced9fd6014a8bd681aa66f8c
BLAKE2b-256 9434d205cab9b9585436e9bb857901e15be56f03ca735dc9562a61216254c622

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 333d8f7e9f76b093de5b17ffd603002f16b1ec63791a4fc3e992dc36d10457f9
MD5 77522901376758c90f92c1e3bcec6460
BLAKE2b-256 edff2458e048a30ce613ba8dfd08e9ff7b7c3bd6ac6c9060ad65c7d0471543a7

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: zfpy-1.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 130.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for zfpy-1.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 860f52d1ff57f15e34829d3098705b019b3098f7406940bbbac7a7ebe167342a
MD5 c98292b9d134c300140f183de9e49fef
BLAKE2b-256 a81721615f9d5a11af5fad488ca96f6ed4e0f8dc22938cf090a1c783a914a151

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83efb8fc8f4d4e62527c0a414f2d46e7736ac6d481c5cbda7a6ea3d53a58b0da
MD5 f63a84a16c5702164b38ca92ea1fc0f3
BLAKE2b-256 e87f07b474a10bb251955eea0614d5244160c53c2a41e6ba6f75efa57e2e0fd8

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5a325cf693d1adc08d6f738bde0fdf2b129a0ef35d7aecb27767f44002117a87
MD5 9b591b17f4f5637abddd2693e6f5ecd4
BLAKE2b-256 84872def911138b66845bf2b4f9ff029a57c0841526dfafc63d2bb96bc93e732

See more details on using hashes here.

File details

Details for the file zfpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for zfpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 01da391518c8c390144572399a5e275c1dbf918347445b74b1eb1224632fcb7c
MD5 c9e4a38c2152b15c56667838236fa8b1
BLAKE2b-256 01809b679fe6686ec83c8840c353ba80f0af676707d1cd014cbd008a077c6bc7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page