A work-in-progress powder bed fusion simulation library.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mcarraturo from gravatar.com mcarraturo Avatar for phmkopp from gravatar.com phmkopp

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: Philipp Kopp, Massimo Carraturo
  • Requires: Python >=3.7
Classifiers
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mcarraturo from gravatar.com mcarraturo Avatar for phmkopp from gravatar.com phmkopp

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: Philipp Kopp, Massimo Carraturo
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.2.0

0.1.0

0.0.7

This version

0.0.5

Download files

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

Source Distribution

pbf-0.0.5.tar.gz (1.8 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pbf-0.0.5-pp310-pypy310_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPyWindows x86-64

pbf-0.0.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pbf-0.0.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pbf-0.0.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded PyPymacOS 11.0+ ARM64

pbf-0.0.5-pp39-pypy39_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPyWindows x86-64

pbf-0.0.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pbf-0.0.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pbf-0.0.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded PyPymacOS 11.0+ ARM64

pbf-0.0.5-pp38-pypy38_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPyWindows x86-64

pbf-0.0.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pbf-0.0.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pbf-0.0.5-pp38-pypy38_pp73-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded PyPymacOS 11.0+ ARM64

pbf-0.0.5-pp37-pypy37_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPyWindows x86-64

pbf-0.0.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pbf-0.0.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pbf-0.0.5-cp312-cp312-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.12Windows x86-64

pbf-0.0.5-cp312-cp312-win32.whl (1.1 MB view details)

Uploaded CPython 3.12Windows x86

pbf-0.0.5-cp312-cp312-musllinux_1_2_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pbf-0.0.5-cp312-cp312-musllinux_1_2_i686.whl (3.7 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ i686

pbf-0.0.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pbf-0.0.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686

pbf-0.0.5-cp312-cp312-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pbf-0.0.5-cp311-cp311-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.11Windows x86-64

pbf-0.0.5-cp311-cp311-win32.whl (1.1 MB view details)

Uploaded CPython 3.11Windows x86

pbf-0.0.5-cp311-cp311-musllinux_1_2_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

pbf-0.0.5-cp311-cp311-musllinux_1_2_i686.whl (3.7 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ i686

pbf-0.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pbf-0.0.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

pbf-0.0.5-cp311-cp311-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pbf-0.0.5-cp310-cp310-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.10Windows x86-64

pbf-0.0.5-cp310-cp310-win32.whl (1.1 MB view details)

Uploaded CPython 3.10Windows x86

pbf-0.0.5-cp310-cp310-musllinux_1_2_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pbf-0.0.5-cp310-cp310-musllinux_1_2_i686.whl (3.7 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ i686

pbf-0.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pbf-0.0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

pbf-0.0.5-cp310-cp310-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pbf-0.0.5-cp39-cp39-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.9Windows x86-64

pbf-0.0.5-cp39-cp39-win32.whl (1.1 MB view details)

Uploaded CPython 3.9Windows x86

pbf-0.0.5-cp39-cp39-musllinux_1_2_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

pbf-0.0.5-cp39-cp39-musllinux_1_2_i686.whl (3.7 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ i686

pbf-0.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pbf-0.0.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

pbf-0.0.5-cp39-cp39-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

pbf-0.0.5-cp38-cp38-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.8Windows x86-64

pbf-0.0.5-cp38-cp38-win32.whl (1.1 MB view details)

Uploaded CPython 3.8Windows x86

pbf-0.0.5-cp38-cp38-musllinux_1_2_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

pbf-0.0.5-cp38-cp38-musllinux_1_2_i686.whl (3.7 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ i686

pbf-0.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

pbf-0.0.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

pbf-0.0.5-cp38-cp38-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

pbf-0.0.5-cp37-cp37m-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.7mWindows x86-64

pbf-0.0.5-cp37-cp37m-win32.whl (1.1 MB view details)

Uploaded CPython 3.7mWindows x86

pbf-0.0.5-cp37-cp37m-musllinux_1_2_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.2+ x86-64

pbf-0.0.5-cp37-cp37m-musllinux_1_2_i686.whl (3.7 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.2+ i686

pbf-0.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

pbf-0.0.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

File details

Details for the file pbf-0.0.5.tar.gz.

File metadata

  • Download URL: pbf-0.0.5.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5.tar.gz
Algorithm Hash digest
SHA256 8131a05f902258f68b3cd47c6f241cb9b5d9daaaad9438c5897aa3f0b96948f6
MD5 162968d9592c638d04edf4a628ae4c68
BLAKE2b-256 2849e2c644ff0ee89be0b72a6cd378e21c9f9aba73bb1dc4fea8a867356ec58d

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 49422d4ff77aab5c1688021ec300eee1d7e0508464ee9245273ec51b753dcda3
MD5 f038dd97260e7b2af77f2e2fac60eb57
BLAKE2b-256 2d77b9ebdacd0c70b2f4df517f2e21851e3d0d132f32f59a437df56927fa26e2

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6b5973c94667d7e6611a4966642cfd173c69f1e26afc6a18b082834f82f9c9da
MD5 1236ccc291e46c1fb13ce0e35a5f4685
BLAKE2b-256 0ae27ee8f149b73d3897d51e3bbdca6c69a9a7a11d893c3d61f441b9feb6699e

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f5cc466eddc6b171fc585cc8bc0f4a395ddb4a763b8249bf2a0b42ec966bfc04
MD5 07b514bc75a30a56dbc01926815c139b
BLAKE2b-256 43d71023b0640e0dbca87333b395dbe016f0c7b8b02a0313c72141680b59d5b8

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4bfa07cc5c494249026a66c2b875dd0d2ec7fab1946b969c69455d09486cafbd
MD5 4d638cbf685c2a4c473c43becc5f94d7
BLAKE2b-256 724be01a6976ee59b662ddf72cd533d4fb26ec8695e5b89971dd20fdf2e8c4e1

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 0273c774ee0c9fae0aa2fcfacd5818780ce59d4779e908d9c1965becb025b5bc
MD5 67444db801ab0ad7de5be0decb353863
BLAKE2b-256 5659d1c50ab75f588db440d9a9baa545d296159ed14ca6d1837aa84fa3abb510

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 750213193bfd9b849a6cff233da2792b05c660b582f21a070ee235bb47319bfe
MD5 3bf515497c319cbcbb5ff6e69c510017
BLAKE2b-256 36c119ca25354959ab2bab248812a207de16cba78a7e60396122ed43add8e765

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 90caa7081fa38e4a9a71f80883264700601b47721e661306bcbbfd0357f12766
MD5 3b631f0ae05467baf8582bcd3bc0f31f
BLAKE2b-256 a608e729fff0f133c6ce409a927caf5c2601f386dbe6e458be58194fb2ad12ad

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 220b8573aa81a35eaedcc37016efae90cf8acb44c50e72bee0b14cc7b53103df
MD5 2534b3b56d40391135fd816e53d4ea88
BLAKE2b-256 9ac7528e29a01c76bf3c0b5a127414e97c011e3beccedb4f18583a0bd7df31f5

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8cfb14067a07f4b245d299b656862de3e86ca77e9fe92b3490be120d612d5939
MD5 b0a299de42dc69da15070a9befb8880d
BLAKE2b-256 513f0cb728629da45a99a901ad57c2d54533b8d122b44c6c7f3d7639fc3fad0e

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 394042d2d7869715074d581224dc3d8cda7bf00a1fae899e8030e94a4503db45
MD5 5922e026de9fda4dedd7c88e16fe9c28
BLAKE2b-256 efeb9b68423dd23fd613832ea949148b3f0f8b88e8afc1ff7f0d0e37cae8232d

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f712494171a45f8b8e5a6542f39b61d0ba45bd87e5c416672cf1951de71106f7
MD5 421c7e11940dc624f173d4e5c69a9c8b
BLAKE2b-256 691d68c72bef5ac42173b98943f119b31c432314a400361029a78344177ad799

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 147690ed6b70a4489ee05e8d55093e1fbad9a3c78a99cd2e6e80526f8b83a1c8
MD5 21f3a41d098a1377f0768a78128ac011
BLAKE2b-256 4353aa2428d4ff79d8ad1ef0e41aff2eb50c8671daf57fe54377d1af04a62021

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 23f78baf70fa5e624675b5f82929d78f553c59772f83eb6cb928ae15a399691a
MD5 5c5629e06befcc176baab7be35309a02
BLAKE2b-256 2269b5624143281bb14838b3f72b49bc38d86bfa1ffdd18b2b4c6394a196ecf3

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c16ebeba067a1370595e5149d4bb95679d94c1c842ae14569344e1cf6d0851ed
MD5 26721c2f7dfed1b32be57cc685467ecc
BLAKE2b-256 cc60bd53a5ac34a789bc871ae23e77f69c00e2bf39619fe75fa06e6bc60bef68

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 47ff9be22857cd50a5797ccde607f446eddafe9b9f1ffead4d4d95b721f230bd
MD5 3e6034aecdb82b5812543d235cfb7a83
BLAKE2b-256 6aa70dffec5c1a26b7933d33cf4e95a1a5563fecd90b6e76d4c52cdf783cc88a

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 dbb60463a2715e0f6d33ec9a10d2cce4253af2dc9080475880430a3b88202efa
MD5 337c31fea865e8e15403333b04f5de2f
BLAKE2b-256 027df3c254cf37a922aae436981032ed30a4af16d0299e593c40fb152ca73335

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp312-cp312-win32.whl.

File metadata

  • Download URL: pbf-0.0.5-cp312-cp312-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 dc83c12be3b4edab3a816754c236c8310e78dd1a7dc7535a424c093ed8a507fb
MD5 b07fe9ef4fc3c2d3efb02a106243fec6
BLAKE2b-256 0ab45c1598178e72ebba8f86520123be0b3c1864cec580009d5979364f831dcb

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 45529a41f75c1a1f9cbb09b0da032d5f72a0d18c847800c04a1ac639b57e3c80
MD5 ad570e704731b27020267803ce6bf381
BLAKE2b-256 bae6ad55c63c30361b1e4fcf9bfbda439ab971f175abc30719d4a790a0ebe307

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

  • Download URL: pbf-0.0.5-cp312-cp312-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.12, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 e01662ccdf1c08a83e09c3009c43178fbfc89ba57b9ec339b8c1e66c10474538
MD5 a18d1aa1758ca5a3c7c00e9373cd47fa
BLAKE2b-256 36c112554d2ffef406dec627575488f5f28679a54cfba1a2abb46910e6c1dbe8

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 af3717c104c71ba73a890a7582f67642b7e877cc78902d9ad15fc7b34e3c2e5f
MD5 9f398a459ebf15c63e55823d2985f810
BLAKE2b-256 660d930612de78dc508207c58ccbea6339579e046472d8d0d220f4106b57f3d0

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5ab64a72b3ce69b0e75a0990123149bbbf5b88f28138c495294cb9bf8b730dbe
MD5 074e520a1ea4bc99023e4abb1ae54ceb
BLAKE2b-256 79ef0fff502572721f2381364dd9fa85e2e38fa08025ff3cb1f7b2f5307e9a84

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 21b090c68f929c04a9cfd8574593a43b2acbe4db6e2dc1d9d62175e23d5ba11f
MD5 779bc4349ffd3fd333917f72a1d2a5d7
BLAKE2b-256 e49f48f883b11fee2e95bc9bd44efb64155d6e52115263fbc9a220a7bfa6f355

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a8815a3b975959248b86bfa9cfa325f35a4a354a7f984b362fd56f99365ed783
MD5 17ecaa761ee17ee005814aedf71e601a
BLAKE2b-256 f9f10b60f1ea65f31b60b25c6693f66256257da425b45515f053c24888e17f4b

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp311-cp311-win32.whl.

File metadata

  • Download URL: pbf-0.0.5-cp311-cp311-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 2633b17ef744e449d9afd6efdc8839e5ce370854f2846e1ac63ba6df41f230ca
MD5 a9edc7d9d280408a70ce99537a7cd25a
BLAKE2b-256 cb709913a9a031dd8725bd2b1566734de9ff42188c21ad7cc1d1bd8c8cb943c3

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ea194c6e0a4a0e6997bcc27321b2c84be6a72a2454f8663a0abe9aa2a278744a
MD5 05c7369d212013af271293fcb3b487dd
BLAKE2b-256 8544522618ac40ca0a536636a44ffc23edf5bd0ec170f106f3bc6c78c4fdf6b5

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

  • Download URL: pbf-0.0.5-cp311-cp311-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.11, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 094e1e98ae2c7352bef63935ca10b112b6f6fef2962cac46dc078a77aed5873f
MD5 dd2414f67a627768ad6f89b92a2a5213
BLAKE2b-256 ba249b084631c2f457a4aa3c7edd324dd2284cb56c39867a0ef3eecc184d1ed5

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4e924652990dd19a794f8121d7e7ac7b6b7ced00e1003961cbc1ed09d8e5e0c2
MD5 887ed8fed24f757c1c48854a837b272b
BLAKE2b-256 6c1ae277998e2ab50b9fa2ecb63b8b7d3027d6134f6bf7e6914292a13efd5191

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ed99d2452192e05722ceebf5df36ee3195f1da258f22ec9a931466c391e7649f
MD5 c8aad5f18e10b4121bbc186dcc5149ed
BLAKE2b-256 f6fde353bdd63e8834c27cb71f650fdfeddac5dceb341f01177bd98ab66181cb

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 876742cf5b8bd44703e26ad9a68ddb0e8bd1a178737a5062d4c962a6fc3af167
MD5 26b2632c126ed3927a4cff406fc5d75f
BLAKE2b-256 4a72eaedad670989bb306bc3be11a56641d08daae6f2a22a3a0273d7061edce4

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2f11630b6fdde6c9cb69ea298555372ea73811c2373d7f7ee6c0bbedb2d840a6
MD5 ca6ec91b43bbdbc2ccc98b395c71b362
BLAKE2b-256 29641979daa937feab7c3fe889f69661e19b05a827ebd2613f5c849f80da06d1

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp310-cp310-win32.whl.

File metadata

  • Download URL: pbf-0.0.5-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 f16e4ddc916198e2febdd02dc3ecb8d4942a77a2dbdcea443c4cb2c088ce47ae
MD5 b39ae509a898410bd92309c570f6b42a
BLAKE2b-256 0efd2d8d1c265b91a9c14c0bbb64c540c9e1a7ff059a5d1a00191f617cbeb61f

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 322d947d4e4016a882c2ad3ccae28bc4cb95d2f04f1d6faa831e2ad3a63a0b53
MD5 d6edb2e6337d683c037d3074389299d5
BLAKE2b-256 431fa5775aa0793c6d85a9da8eb2100aae7e89e637656b2fcf6da5489a283ecc

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

  • Download URL: pbf-0.0.5-cp310-cp310-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.10, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 57e55a3f7b9223c1245d5fe1f2bcf6ccc350655365997fd3cbce7a0203fed42f
MD5 a4511a05e40955714f38df88b0a62fdc
BLAKE2b-256 1e98ba48b75a350c3db21e4d8a4600c552515bb1cf64976c6471acd8c5aced6f

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 35b7b026ee1f10bf4e3d565436d72ea54408502e38a3b05186ef66a7bd816e93
MD5 1f9a5f8ccb69ab6c2c70c4a8593d57ce
BLAKE2b-256 67c462cee94b89efc8d531fd4fc78e9b2f6057bbc84e40913697d08ff9f339f0

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 102cf3dc2a31543513faa3e02d1127706c83b19246aab535badf801cffbb60e0
MD5 761e51cae67f2c44984266fcf6b31bae
BLAKE2b-256 938b1c4464e5f62bd5cc25a8948c13d68dfc235eeab23c4d55be281a3caa41b6

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7e4b4e84e50e295ac54e5f650200d97dec498ebd4d51336b23a6a60d7feef492
MD5 13c225c8c16ccbbf46b08371e3f3d868
BLAKE2b-256 226029c44bd6a88954dcab630ace554552d800bdc600258c017bb9894b81b700

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d2a32d77f8a72a576c087988a4937f4c7c9c42d4d7acc7d25f601539ecc8dcff
MD5 43459d43981807d58121ef0e37a049cc
BLAKE2b-256 fa84514cfb607062178a844769855e8db8f5e517c8f548bae224a980f4d8617b

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp39-cp39-win32.whl.

File metadata

  • Download URL: pbf-0.0.5-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 ee7e2949913e8c8d4bba3e95bdcef4cdc211c1d1ff8c0db61256e2c0444872c2
MD5 8e02a83861570e585f578b09b0eb5c02
BLAKE2b-256 302d968a4351621244c11b3ded1582a712050720bb09fd9e4c881db06d5cfd06

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp39-cp39-musllinux_1_2_x86_64.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: CPython 3.9, musllinux: musl 1.2+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 a73ce7bd26a4c8593f5e4d96984cff6c21e22ecb7ccaa3131346e4a6be444150
MD5 e2f8487386365fc8dd0d628a9a83f766
BLAKE2b-256 b9b765ea1f167ef2f757e07af70fdb11c839e84a04d4222d6d8e8cbb4ebbb489

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

  • Download URL: pbf-0.0.5-cp39-cp39-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.9, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 a0e3fc34170780fc41cae00c0e78b0f8ca5a5d2d6d95eef6ecc95bea5749272c
MD5 83bb5b93e19769f606ae203c93ffe40a
BLAKE2b-256 e159ef7d0213739b13d81623836c564a41d936badecc1f4fca6afca9bfda5ee9

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d297c107680cc2f1fd05cb4bf47dce2ea0cca87be585b29334d6fe6f6f925d26
MD5 da85c8bec70a0546b6d9c83c59cccf40
BLAKE2b-256 744fb58ca248d05888e91c95cbbfdb8e56a0adc3b1a0224d67b5fe04d192e0ce

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b724104cd46e5606bd072b3dacdb1d2b427d9c47e69bc0b6ffc9cb375e1e5619
MD5 30cbcfc3eca310b97a4df833e9a44ec7
BLAKE2b-256 f84dc0e30d2ce13ad702f67a3f474951f9700fc520b8956c7619b280f17b81ec

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 54c7c75a63d55c2c42a96035a7bf2f1d0f4f985c926a1fda16a8c690ca349526
MD5 2f1c820c4e6f6157f7360317f9ae8781
BLAKE2b-256 75a03ddf420aa4247487d3621bea30079f4ebfb0185db648aa5281479f8cbcb0

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b23a2ecac2390c0d21c195ac428c2a5dcd4bf2cbb6d819c7c4c6d9584a6b1fe0
MD5 72406d40cdb124c2e975a9e9dde8b4cf
BLAKE2b-256 97605ee148faba92177b7b8f6b98ea8a9365613fd9ee031dfa11d4f14e0e28c5

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp38-cp38-win32.whl.

File metadata

  • Download URL: pbf-0.0.5-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 97659caf6a43e0b675b1b34034f41d85e498280cb7ac8496829de62c93a63558
MD5 f233a51fda1ef146145792b6ac104993
BLAKE2b-256 b3e765a169d768058ee56ab48fe516b5470a7223e35769af1a83ca748342d7bf

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp38-cp38-musllinux_1_2_x86_64.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: CPython 3.8, musllinux: musl 1.2+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 bad707460003e067b67236278a49200de9fac99b9e3191f42d801303759b1c47
MD5 27255959b3bd2613cb8abfa110010e3d
BLAKE2b-256 6be4eee9a06d80cc9e007b29eade9fd9576889df560b7a5225f1ea72125b1f3b

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp38-cp38-musllinux_1_2_i686.whl.

File metadata

  • Download URL: pbf-0.0.5-cp38-cp38-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.8, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp38-cp38-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 fe201ded86505853c77907f36c12c09393363f6f7f58110bc117ba1751836b1b
MD5 c411619b57a81b65c93693b3161a0adf
BLAKE2b-256 218fe44f960f2b55746cb2556a1f115c8a376127b5404657b98d5696c0b04576

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 21f2ed1fc0be6d3e07f7e3b62628cf9eae8cbbc956714d172849c13af8c6f666
MD5 05ac3375faacdc70cdd5f6d3a15a1784
BLAKE2b-256 b977d04c1d1543be28a286199ab8a45dfb7bf38a04e05d869393e3a6f2c7655d

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bb3581788cdfc286cb754c62fa82626dfbd352461835895b0740189f98172886
MD5 1ea728bf2d81acd930acc26827cad9f6
BLAKE2b-256 85d595bb87f132e94c4ee78f971acbdc5fa426e60602421486d104ef67b24913

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7ea0a740d867f1e72a72f179e60f08a3f401216e7958d960e844d9913572b374
MD5 09dd48abc7143a1621b8c6658781a6df
BLAKE2b-256 858f93d2cfca536f2f2b7d1fa7578cdfe3aab9e78075bbb5a510c5597c48fc76

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 bace32b98e5fb66e0093558a999893ecb22f6f98182df0faba7ac00e5ceed41e
MD5 e141e0810c326cfac2dad6c01463af1d
BLAKE2b-256 27e9b296279a8235de803cd164018073a05042fe1d0f3c9d5f20329fb95d5572

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pbf-0.0.5-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 21bee1eae71822b478bd478ea3d46b511ce795f49081058733175967f15e18db
MD5 8f67a7d28f0da27c3a96ce4d95e78663
BLAKE2b-256 9fa1c36d00d29575e15bc259de98c4f6c5a319976d5840af4fc78821ada6f39b

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp37-cp37m-musllinux_1_2_x86_64.whl.

File metadata

  • Download URL: pbf-0.0.5-cp37-cp37m-musllinux_1_2_x86_64.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: CPython 3.7m, musllinux: musl 1.2+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp37-cp37m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 78d5f5354e60f575aaba29aa7d98e3bbbeeab6d9aa8acc25de83bc1ae6c6e1fc
MD5 78c69bd1d37bfce04ebc6f772b24156d
BLAKE2b-256 94eec3e6b7368768b7bd58f095b279e721539f517de3567918ff29b902decaa8

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp37-cp37m-musllinux_1_2_i686.whl.

File metadata

  • Download URL: pbf-0.0.5-cp37-cp37m-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.7m, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.4

File hashes

Hashes for pbf-0.0.5-cp37-cp37m-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 d968baca57ab4c6bf189c7e479e31f7043b872d29f9c07aaf765cd3d24f5c706
MD5 499e5b28f7a0772036e3d798f1b4fe06
BLAKE2b-256 f9151a4ce5f7956abebdca3456e5b13f8606f93603b3c78392ba747c974b8dfb

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 64ee3e9168647ceb2e8a7451da62b73e91897b3b221e27373cf878c26bd568f4
MD5 2cd4b6d694998bbfa8e88b5683f3a07a
BLAKE2b-256 521a8e9bb7285f5c4ce6f3d8d03993051434dd5a8dd3618a7ae4d8ee18343f7f

See more details on using hashes here.

File details

Details for the file pbf-0.0.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pbf-0.0.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 58eb9ba2dc930838d4a6d1cb88230876d5ea28e81f917450981e29719e80e222
MD5 5dd262bc0458a983c9fcdf17c4fd65bf
BLAKE2b-256 fc1b8848643c71c7a812b9dc76a9ef419bfc7ddf432a2cf7394bb2a291f78c2d

See more details on using hashes here.

Supported by

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