Skip to main content

Python bindings for Yrs

Project description

Build Status Code Coverage

pycrdt

CRDTs based on Yrs.

Documentation is available here.

Project details


Download files

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

Source Distribution

pycrdt-0.8.25.tar.gz (29.6 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.25-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.25-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.25-cp312-none-win_amd64.whl (466.9 kB view details)

Uploaded CPython 3.12 Windows x86-64

pycrdt-0.8.25-cp312-none-win32.whl (447.4 kB view details)

Uploaded CPython 3.12 Windows x86

pycrdt-0.8.25-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.25-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.8.25-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.25-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.25-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.25-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.8.25-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.12 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.25-cp311-none-win_amd64.whl (469.4 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.8.25-cp311-none-win32.whl (447.2 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.8.25-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.25-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.8.25-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.25-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.25-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.25-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.8.25-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.11 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.25-cp310-none-win_amd64.whl (469.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.8.25-cp310-none-win32.whl (447.2 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.8.25-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.25-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.8.25-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.25-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.25-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.25-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.8.25-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.10 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.25-cp39-none-win_amd64.whl (469.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.8.25-cp39-none-win32.whl (447.5 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.8.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.25-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.8.25-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.25-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.25-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.25-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.8.25-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.9 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.25-cp38-none-win_amd64.whl (469.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.8.25-cp38-none-win32.whl (447.2 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.8.25-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.25-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.8.25-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.25-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.25-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.25-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.8.25-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.8 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

File details

Details for the file pycrdt-0.8.25.tar.gz.

File metadata

  • Download URL: pycrdt-0.8.25.tar.gz
  • Upload date:
  • Size: 29.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25.tar.gz
Algorithm Hash digest
SHA256 30b8e6e8252805e18b1feb14a4bda12e35f10ce71a58ca3821bc26813f535274
MD5 f966a8f25f62a6f705b36397984b1d1a
BLAKE2b-256 4360796f77186ac7cc6c7575a4ff81e239256699647c4fc89085be194fea74f8

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 72ba7f4e1210f4481011f1b213e9c047b26c67c17af8b4f223a970df7785f9f0
MD5 6e1f77ae5ad48d46ab94b5e11793835c
BLAKE2b-256 039f1c0021ecdf196b4ef2050e69836f2cfa164ac87262a938db841d662290f9

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 691934a094bc71526312a201a103574d1f8ad3feb97fa643e069797dbcbb700d
MD5 cd426b388d43bc32286e027d94a592d7
BLAKE2b-256 053f3f1a787bf953ff03c492a54ee5a28be7848a8b589259c4a020859ed31aa3

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4afa9a159b6e725805c470a0e19143275691e630b56d20ef243e902866b7bd00
MD5 6967138a97a692a759b2e3a075168182
BLAKE2b-256 3161bdb9579ae013318ff72498efbe59cdfd9ec206d1d909c574b91a8f33640b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 750ee95c24a66bb2d8bfc835ae984b6ee37c6ebc7d26ee20b6e5a0e436676c04
MD5 5605eab774e284983ee86aa71d69e45a
BLAKE2b-256 2c8e182b7e45da600bc564896955960d5f315c674fe431e1d7f7908264d6af99

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 169e342f35b666067ce23b7d0ad055b9c94edc47cb13571a57dcbc834fe763d9
MD5 eb5b667f018268aeb26f698eccbed745
BLAKE2b-256 e340ce0411b05437d2665de90dcf98079eca7fb652354567264d373638f71a4f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 288197eb89f20ebb0183ac2c32a6ca9275e12cf480efd918ea1391b8a6417765
MD5 d0faf61e2d375d7d77a1e1fb6e8e6956
BLAKE2b-256 813851c9eae839b0e8c2fe41cf6dcbc01eb39e939356c5854cb72f4b2cdcd176

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 b0534d0f236893242570507710be6c6e1e947f529ea47140d763ab151656901a
MD5 c0dfb2c3e70ca959765d179f795e3063
BLAKE2b-256 dcdbb070f615261185665870d068f59bd4f4c2b2b4dc2b822ace35817358d58a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5b76291815db6336202b597608ee00c1cb3f9640f5cd0b9213ead4191a2d79dc
MD5 cde3f223cc336e36926bcf3bad3f82d2
BLAKE2b-256 64b90843d411cbf1b79513aded63620085a1b7c2f5a52f2da1bcb14d49e85dca

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 997f0c789764c8d46724d700a0a0fcfab34c883661abcb87fe27b268339d7e44
MD5 456047f459c85f39c8e98a1428cb0158
BLAKE2b-256 fbfd92cbebbd0038bf098d5912965087f90a04975a8827d355d39bc2cea8dc06

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4b34ce24fc9dd613be11252dd22678856210e4fceb9c6993d0f09dd4e6f3d22b
MD5 af1a264ed822008b125442999228bfe0
BLAKE2b-256 697f20af476531e73ee3b10d38bb42a3edf2fb6e464e2bc47bd61230be8af43b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1f3db97ae8e7b0287cc7258910ece59678adb53733915070e6ab69f9ec9da091
MD5 0bf613f6f11cce09a7d74cf94fe7f010
BLAKE2b-256 0d2b78f3a890f236a231e55c658bc6df84157cc15bef1278dbff861b28b80534

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d3b427993b252d3c35d99628efd56242e40fc0729280797850aae6ac534af0dd
MD5 af684eea7fee588776beb0d4c779a2b3
BLAKE2b-256 f26cd18ff254b92592a078adbb68679892eb8db826171f263d326d3e3a60c5a3

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 1768154cbfad318ff0e7cc7845362b0926c69bf95cf6f40bb08de43cfc2345a5
MD5 4907bcafb75f555ba56745f59dd50a85
BLAKE2b-256 d81959ad3404cbff0255f58f03270daf45ca92bb0b21bc9e683b68d1435ed56c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 b1c63431183a1011251a7491340e67fc4611a2c39d13a6a1060199d6f4a322bd
MD5 0dd2a180d29e4fa2d06ce7637753b22c
BLAKE2b-256 9d9955f740d4f21c5523f9f3fb31306d714544e37ab0a094e59a52a0d4f8a079

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 466.9 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 b516e671dbb60dc61f942e87002c72970b808d3b4483b7a66f30ab49c95e9593
MD5 6757565aebb7d2fe03f6c497015c61c9
BLAKE2b-256 4d328c0f282a0f04c62580e8797a13cbec47de871577acda45624544cbad533b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp312-none-win32.whl
  • Upload date:
  • Size: 447.4 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp312-none-win32.whl
Algorithm Hash digest
SHA256 0467ab38d1c4755de1e3235d877ea5dac9b3e258572e85bda18771bfd255705d
MD5 b7476d34996d51fc2d9f6e69189fe13c
BLAKE2b-256 e10d323a87df2cbdf16b4e37d29aaf7c9ec3d410d3a52fc0176528726762511e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 55572be8f9d769e5293a88ddcaf6594442ac52f9b033b5e2fa666f4648af2739
MD5 8c37a8b40fb392424a1736bad27de7c8
BLAKE2b-256 727e8e3945db7cc374ba7321594dc8b7e2ba54a2ea0c42500ec6d6ba9a861fef

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 1498336312da57a8610031cc1d715774d4c4322a6e3806d1fa7046351da687e3
MD5 1befb74900ed840ce1fb63e75777e2c6
BLAKE2b-256 5329f45986a76404d813eb9eae0dfe9ac8e4dab0ebecc04bfc3a411a1b304b8a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 342acad7762be9273908e9bc5fcca6b3e99fedaafc4be04112e2729398305ac5
MD5 dee99e7f822d2a69ac743851e03ee3c2
BLAKE2b-256 7e869ee8c26318c7c92f20cdbf9fc7de3bfb2fc8d8e88d5e48a160cea0c715a9

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 93de19978fbc65b9400e86cde46a16a00e89c6905f8662c55cc88eea59463029
MD5 f14b16f873a31e67407da9bc24ccb97f
BLAKE2b-256 eaea01975b43b186c897081533bf268c23351ac058fb252d1076921bc98a8453

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3224aa59395a249440b13d542acfed0594a340ef9122b2f6eee4ab0fe20f4e56
MD5 918e004e4ce8c4acd49ad3c76290f020
BLAKE2b-256 4c60974fc2d78277f17b8a2e6893580ed5eb0899c63d090fd9be2b8ad527e83b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 26b6df81bbaa9522a86deab63774d69a5f9d03dd65595123ad82c96388a7acc2
MD5 07073786928976318a38f06c481496aa
BLAKE2b-256 f46e0eb02cf16fc14e06dcc7d04fb938f8204f6765dd241a3bb26a213943a039

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 1b46a3411aed83c0c1cd3f8d2c39cac3802e431b1ad079cdb81c38100962a805
MD5 415b920c10f2d8a851d804cade5f63a8
BLAKE2b-256 a782ec834bfccbe37fca84c5b8c5ddc1e35bc76a2eebba7dac4dff694c4b044f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 469.4 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 c2eb158f5fd2845199e15e5c741bdf044000fc44b8b20ab9deece6d02cbf15d0
MD5 afdef539b27d6235f4d6345bada8b679
BLAKE2b-256 f396c425096ad2fdecf05d2c0abe852466a0e9fe2f7891b1d75acfd8d7e12be5

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp311-none-win32.whl
  • Upload date:
  • Size: 447.2 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp311-none-win32.whl
Algorithm Hash digest
SHA256 2498db5a2c499eab95e7130b634e0ea0597a917abacb167f83ca1d76432ae782
MD5 cee73d437b66df0a2f6c6760bf0c9d22
BLAKE2b-256 23a7a59bf6d8ff7afad8d005581e37194ba73c15793dff261e799ae9b1d99fe8

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bdafbac7b29ed811cba5e7b21168ef848b267d619dd7531723ca1d75cf835319
MD5 065e070390e4edc1c7ef01961f610494
BLAKE2b-256 b4983525df6bf2478c070c8110cd9ea2e411863601112c2f1e0ea8cad417db7f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 86fa8f9b0b26cd54c56c91da07cd56b794be7a9600c08d48152ff1367e34d5ad
MD5 a13bec12b3cea77da3fcbb68a7f831c9
BLAKE2b-256 919e9431d42823b33e3355a441af54d9a894d2f6abc99fe4fbb7f856358b31bc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 1f2279bf685d0be0bc0698af76b7e8accb1da087d3e07991ffc62cb6ac92397b
MD5 2736e7c09ade7ae9020187205afeeba6
BLAKE2b-256 d2f3672e442e5e878762b574a4497151b84e7a1ce10156be1d2967794aca7512

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 63bbb473f870963dbffc3bc15e78b953fdb1e51455e45d02a3ce9ed684dc4d50
MD5 54ec6264dcdc36058a22ef9bb296ad94
BLAKE2b-256 5edcc745118419a15a5abf95e2a781fcdffc2750c8a72c94811d8d1e1c9b7132

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3cdf941da838ded63cbbf6e06e73762a203d708b1da9cd9d3ad6ea097b6dd7f4
MD5 d35c40584383762fc4edf221c60eee5d
BLAKE2b-256 de5b8effff141dd83e7437eaad0b86b03ef069ec6d65d0c78feec3ff8b84da4c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9d6c4df88a9221bc5dd1b9dfdfeb36e3d3c3ca837a7fff76d374cc32dc338c1d
MD5 0733c9d3560b4a3feb7af7dc08cce961
BLAKE2b-256 615bde73fb64db43779ca6c41f19b7eb243c5e0e752465974c3fe8fe0cc6927a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 8b6f30e06617b5365acdd62e760f3d5cb6e34473c70a28bf00d8098d16490e25
MD5 8937766cedbbdb8499a5192c1d415e92
BLAKE2b-256 7acbbaa179754c7da67d7bba89fadc479f929f150e4eead0a058eaebc637f042

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 469.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 76e452c38e4b3cafee3fe80ce4a9be62af0cb3ebd368aee75d71d8cb102a7a34
MD5 9554bf8ab98abc71d7302a1a6c979700
BLAKE2b-256 f7c08e3970b7aa2c0e090661a50777d577bf219d5b686de36d9c4994e2bfb95e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp310-none-win32.whl
  • Upload date:
  • Size: 447.2 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp310-none-win32.whl
Algorithm Hash digest
SHA256 c39ba78aa0aeb75b18f4f3a5b12fd66f8aeeacca0f19d682cca829dfd42b101d
MD5 4d7d1664686286ed302b5ab2c84e00f7
BLAKE2b-256 2c22b9ecda13c65ae209ecf27dbb2902987fb5ef53681727e6443e95c47bfbe1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2cbe0daa34550921966f71272b8716bd9d7d424f26e89b57609410fb7d56c98e
MD5 e0b6c421a39e344ab0790642d72f57c5
BLAKE2b-256 7929c0f72a5ab080d434400aadc44a46304e1de88aee2c1e87f35e31477585ea

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 17535580d14853340d6b79356652382bb3c9583fae131f2a98f1956ab52be653
MD5 c20cc34c35ee9530db69ae41714ff7d7
BLAKE2b-256 a17a048b88df80db2a1d9af29526e52516a003761b498f705f71a26c0e5c970f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 18cacf8229a1b291daf6331c849b233ed348ead9b396a08d38add6d5c742a262
MD5 2c846689169e2735bf6186b1cb9b9642
BLAKE2b-256 08bb9515e193dccd0b70a4c7842cbd21422862d542e14d38f899728fc3c4ed28

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 524c51c777c3d9ea355031381b38a75f795f754c4d1c1bc030f32d7841ccde79
MD5 53e89be3039fa70200b1cfd4be726c61
BLAKE2b-256 db3c0c1cb9e4d7e5c903561b26b6917b66597c95649be44741956c784a1ba92c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4d476d87ba2698467af21e48da8eaa8569cea01c37bc4fd984e9528eceb61ab8
MD5 b77aa66b67220b84091cb656b57bccb6
BLAKE2b-256 0d09a94a63f0f7f2d58202fad452b24de61091c5015e5b533a92c58a098418e7

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 e57dc73ae1fbf28546be426e05b370d354b3530f8c2f50faeac940f315def82b
MD5 2a61486d5dd67fb503dd7d921b1f4720
BLAKE2b-256 faeaf592cd2fb686fda45a117e8b91c892f8022d870ab3a490d38530e845d065

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 01a07113153e30b9875169ff9ff52ef24f28487eead53448b86360063261f6b8
MD5 a20e7927ae6ec30012b35de606657b5d
BLAKE2b-256 30cff5d174c14fa226b7447b3b268bfaadbdd824954df24540dcb1a9ab82d39c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 469.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 a19bba1eefe4f001811c0c29fc7b69017e9b9daa500fdb36e9f6d47303a0a346
MD5 04062feb6438edf5b2c2772c02d9e36b
BLAKE2b-256 efb20f80370d43e52845ddb3cc1cb4778b5af209255cccc0531a967812463dc4

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp39-none-win32.whl
  • Upload date:
  • Size: 447.5 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp39-none-win32.whl
Algorithm Hash digest
SHA256 e6f694e1fe5c3cd425de9529acc95194d45b9d666d1cafb6b81c4ed44b892631
MD5 c6080763019df88e7cf03d3085973e91
BLAKE2b-256 3266df0316d722f14959e8a714742096dce86beec18a672c94dfa59aa0debfde

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b7bdd17ccd78576a9c91a28013a46e935dadf7f089c3eaae1afcaf69c450996e
MD5 4c07d543572fa1554372dd223b1b6689
BLAKE2b-256 276efc50da2942895e407cd434657c7e796f9f7110298e89d7792cd7bf005c43

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 06966669150f182efc8ee6774bc64b08ca6df5a9a0de967b3c9eedd8bbbcfc71
MD5 60eb3deb8f57141d608a8fab5274ac7c
BLAKE2b-256 60babe02cec57b273bb8809a823800f8bed52de8b338220ff8a655c583559c75

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d5babaf8c7707b5de694fcfe87936b47a2ad0b85935fcf529ef2799568e37461
MD5 8ffe9e309b4a8cae28dbefa97685923b
BLAKE2b-256 f71a5f463ac67f5afe342a9283ed8c24e1eee72b5bf60ecf5236ba8c22bf512e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 b85360ba41536a23d5f12efd79e2833715927cfaadc4da1e874b7af142406acd
MD5 4e626ccf7bb6c04bf36e437ac1b408f2
BLAKE2b-256 50246f3882424fd76002c836efb819f8e76b12a98280e7082e0be410cd45b3d4

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 24d3cdf838dcf8d3552a236053c6966c2012ac90699f35366b0e987087c13e6d
MD5 68e2cbc4f8227aff5beac2c2f771d968
BLAKE2b-256 585edacac31911dc3f80344c9582ddde8e3e2ee44ab04813054f93849e74facb

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c8e8a9ed53e290a155a59d4ccad76237db9d12fb5bc0dd93dd50427a4a055266
MD5 0ecf3c41552439c3783a26e190691713
BLAKE2b-256 13f1fac6fcb4b6892cc04264ad376f88cc810a46867acd7162302e2f2b9e0fb1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 70d7624051dab54838803a6361289db1def92e97e7a272ae1938c92642bc49a8
MD5 100c10f3d9097b2d6b31423fff3295bc
BLAKE2b-256 5dedbff0a3fe27497661a64952228f202902737c67ef7f84e7126917083d820c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 469.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 c3c92ea43b5a66c8352761e1ce118225f9f82761799482760f882a9db93eb596
MD5 8024ee645a3ead8dc7239ed891965fb1
BLAKE2b-256 01a16e610a375cd5b57369ed2afa20ab0e62eba3444391e340f8a52d7a06d790

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.25-cp38-none-win32.whl
  • Upload date:
  • Size: 447.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.25-cp38-none-win32.whl
Algorithm Hash digest
SHA256 0b78d1c756c17c0e604dc00d9f4950da2a29b3dea6d40387c4d4038d3b9c4880
MD5 bec575b20076305e499da7433bb70b6e
BLAKE2b-256 7c30a03f3e371ac1bfb4eec52deffe0285dc070b3454f5da2f085f84642dfa32

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 65a251865a2c31f9836e87a07510787791a150369f13e86e8f7499d130199a09
MD5 107b91e01c560a766e1f01002df71c0a
BLAKE2b-256 390a09e2d71bd05b33849368c9ae4ae14fa49152b7fa3a3bf96f6cfb2af62fcf

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 ff78984e80a438da7cea3ae16ef4853c8915cdaf4b8bec26f33d11883c55c91d
MD5 83cb3297446bf0e5db0cd27cf66bd45a
BLAKE2b-256 2827e9678cdc35939fa2acc2c11a395c18c12a296b2111679609ca96a266cca1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 f4c68aeee7d2ead3bbf1217021ed47caa6f10def26dad5a7ff3437a9d43a03e7
MD5 5943d3c349a7ccf7e6700d8ddc0cc49a
BLAKE2b-256 fadf79ffe95631bc57093ce31b2bbcb7a1550b1180788be118807fe12edebe65

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 80904b025ae9695c601fb9ffecca5ee3713bf4b508504aa9c8cfffc757530dcb
MD5 1947ab083df8992070e3f678b2db1ed9
BLAKE2b-256 0a2a50c18a3208e9f15d75148e2358e899b9b19c5f2be04d8e2d2ac325aad92f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cb4f2f8cdf6770cef31513a7845e433c74491be4f610460339c0be5aa40d5e84
MD5 006d9ccf0e6637903a1e588cabe0c411
BLAKE2b-256 c18e1b1a6a3fa9d0a3e5ed959d5e963593c41ff8dcfa8c9ce47af6eab128ce78

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 fc9132f654796bc11730e4be231c60beb6c6ff81c70fdc17bac2836730c945b8
MD5 baefef6993105a7e6cdafde83d9fd9a5
BLAKE2b-256 89aaedf67e047aedc3536476a9273fe83adc33d79b0b70bc2cf2eecb88876107

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.25-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.25-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 4a4ecd896df381fc395b4a2723a0588e2d857edb7b87375af86f549344022a28
MD5 5f6f0f602e576c1561e709a99dbfa7a2
BLAKE2b-256 9b987b23b3a6337058a79ba8b47efd05809f9b9cae60a6ffeb75cf01ab4c45d3

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