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-0.8.19.tar.gz (29.4 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.8.19-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-0.8.19-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.19-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (616.0 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.8.19-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-0.8.19-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-0.8.19-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.19-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (615.9 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.8.19-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-0.8.19-cp312-none-win_amd64.whl (453.5 kB view details)

Uploaded CPython 3.12 Windows x86-64

pycrdt-0.8.19-cp312-none-win32.whl (442.0 kB view details)

Uploaded CPython 3.12 Windows x86

pycrdt-0.8.19-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-0.8.19-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.8.19-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.19-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.19-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.19-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.8.19-cp312-cp312-macosx_10_12_x86_64.whl (615.7 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pycrdt-0.8.19-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-0.8.19-cp311-none-win_amd64.whl (454.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.8.19-cp311-none-win32.whl (441.9 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.8.19-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-0.8.19-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.8.19-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.19-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.19-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.19-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.8.19-cp311-cp311-macosx_10_12_x86_64.whl (614.7 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pycrdt-0.8.19-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-0.8.19-cp310-none-win_amd64.whl (454.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.8.19-cp310-none-win32.whl (442.6 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.8.19-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-0.8.19-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.8.19-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.19-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.19-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.19-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.8.19-cp310-cp310-macosx_10_12_x86_64.whl (615.8 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pycrdt-0.8.19-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-0.8.19-cp39-none-win_amd64.whl (454.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.8.19-cp39-none-win32.whl (442.9 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.8.19-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-0.8.19-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.8.19-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.19-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.19-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.19-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.8.19-cp39-cp39-macosx_10_12_x86_64.whl (615.9 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pycrdt-0.8.19-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-0.8.19-cp38-none-win_amd64.whl (454.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.8.19-cp38-none-win32.whl (444.0 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.8.19-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-0.8.19-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.8.19-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.19-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.19-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.19-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.8.19-cp38-cp38-macosx_10_12_x86_64.whl (616.3 kB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

pycrdt-0.8.19-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-0.8.19.tar.gz.

File metadata

  • Download URL: pycrdt-0.8.19.tar.gz
  • Upload date:
  • Size: 29.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19.tar.gz
Algorithm Hash digest
SHA256 1a3f9e8e03de6ef800e34763cd2ca8b01b3c90ec7423a352d551a51004a73d29
MD5 ab369a14d20722b8967b917d343ee93b
BLAKE2b-256 c55049eadce9f9b576b1e966ea2ca3a8e138dd8f8de78fe74407d92aa8770458

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 93dfd028c12d90c5af8a9d3c80da933111627aaa309a0f61abd8cc685f7b2366
MD5 2cb3b749fc4985e60da7b0bc8dcf5b66
BLAKE2b-256 e480f873971aebc05bc6faa6df207c99cbc7897b0cb48fd390ba44ba659c9bb6

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 1284deeefa50f8b7e77247ec21317544b63c18415bc41323e9784990f376541a
MD5 c46deca2fa6ae97c6e92a87202673272
BLAKE2b-256 143c47beb33f320faf9abda38998b836c92a59f5de82f81cda06c04f0ccfc913

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 716592d61fa19d5fc320db82961019be9feaca38028ab200edf8c109ac1c0373
MD5 4595b692ec55376dddefd0795e620291
BLAKE2b-256 b91e64a41da4acdb727f5f2f2f44b66d02348e72f257e44c64a38a8cd5ba8330

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 dfbe469d2802bebc85ac3aeffba962fe48e0ffbe26dd49a5de83de20652bbe5d
MD5 d1ce266e0add3fc211132c4d2815b4ba
BLAKE2b-256 d745b020cb0516cc04c2f0f36d134013582ec54d92aadb8470302f84caea86f0

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1cb2326780121646d37dd15c1fbd0686e1cf88b64ed2a090daad4aaaebaa3042
MD5 e5736b9a6d13388a0b7e0d1f7efc6aa7
BLAKE2b-256 7a241caab2ce8654946e9d3bb84f48052867918ca16adf5cefd37d855ea5d35a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 55ef88a1d0bf53ebf63bdc20b1dbd69ecd39595e54d1cb8b7d8b8eb7735483a5
MD5 d2bd3c005b8f3ea0dbe54a49ddcc72f3
BLAKE2b-256 8ef44525dff3ec1722afd7c9308bbc27b1c690f82833fb73f8e3de7f95133a50

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d37222f885efc5586d75a7eeaa56bea6fe2c7d2704e78f00128717143d697278
MD5 ba0ab69b65968eef64d4f4298f890e1f
BLAKE2b-256 f1988ee8bdc34773e0ac6b0ceb736586e255a2150a5901cceea61c77a8a57fe0

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 a0c71d74aa3699690d483db624724e2d7fb3b7169ba4091261ec3a8bcb2b7e42
MD5 fd515a5abd75a717810fd994066eac63
BLAKE2b-256 a8619bead69b74c0d627af2cc510a621cb11f554a890f3c3d710b7d187d106a5

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 52ac1189966856c40d6b84043672bf8c2a320ea87afa695b2b103e8393c9dfaa
MD5 62dcf2a7836621f1457c6440985027ed
BLAKE2b-256 3643c175428a2845ebdc24ae536a08bfdc1e1a95ee88e28c0854284077530fef

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7e43ae1181a097b34ab75993d8d749bbcc7f11af42d9f9e1ce32ec4cd6462847
MD5 a4a9a2a680e38b2b65736ccb3c4f26d8
BLAKE2b-256 6155ae4f5790d72375eecf54b7e9fc7c6ab3a081a9e3ac2528b90c0f668d5b3d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6e61de6828150b71867c060bce7018d2c96f3cdccb605834005241552bdcb4a3
MD5 96c519ac5da333b845a7f2ea824a7e90
BLAKE2b-256 643233d44136897ad8a48776b5028d611a2d4af174efc49eedc96cd31c7e4543

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f1767e60201a4219d52004e90f95d33f46f3641b3690b9ecae7aed97e0d2f0fe
MD5 bc48693ca69eb86a2f98c7e52f782fce
BLAKE2b-256 7ca766554c8cce8de5ec22af646b6aa0c56c41786117cb6f03ba57cfa192b119

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7a5f81319ea7c794c1bfadab3d7b989a02898c12e5e218cd49af71ab973dc101
MD5 f18f0d0f3d0c9a6076c0c4c0bd06b94e
BLAKE2b-256 0216fec398597e7e5883e72a026165e6684e8849a5234448bb95e452cc7620ba

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 b9c4b41109ae8a6b95172d37a9bdcd2974d63436277e7b9fb575e23bcd583055
MD5 38d583b66b87e5cc15695e793431bd85
BLAKE2b-256 68d501206175b0f5864a11f844ed916e81038f7dd1445b82ee52d94e47f0124e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e04c629992c28db1270a924cb119a05f3dd10306b459699883b2e983c34aaae6
MD5 e1e6a94cefa58d02875d7408bdffb07c
BLAKE2b-256 3f5f3be3e43a65258eb461309c108f9010f2f21d47de6c6f025c87b2834e62c4

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 19fa80069c8ea53991f580a6d7ee9a487e15088bebb64c9e558d2a18bda5d7a1
MD5 aee1c3743e8200365affb94a0847f31b
BLAKE2b-256 f1b01731df2dbb8f14c3b4cd7beeb55cc889d13b073175519bec91c6ce098c9d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 453.5 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 5a45b03644a81680487fed6eb2701f83c6f5a390395d06a21dd8901748a7641b
MD5 1b2eb60cd52e3f6cbe66b3216b806b4a
BLAKE2b-256 2b97193902257dfb65f31d1a169b387d9ec80fdb2f33cebfa87f5e45ef0128ad

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp312-none-win32.whl
  • Upload date:
  • Size: 442.0 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp312-none-win32.whl
Algorithm Hash digest
SHA256 6f0932368132c4d9f35f69799ad0a1d04e4116d4bfffb86f20d1191b02313dd9
MD5 eae5d72410918f359bf904c1ff985315
BLAKE2b-256 aa0dc1b00ea5fe27b6c55cb01067c81800c3be30fbdc534a7b7c1f0850beda2c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 892786f695879dadb00308f3fd53b12047a8a9f7adf5a2c26d2708064c14f07e
MD5 d9f2a411ad2c1287b5d8f082f89ee247
BLAKE2b-256 3cd47f456bdebef5fc5e9c07f62d9caa976578d1f1445377dbb3fc592a54033c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 960dc72609b25309ebc4cc704109e0af8cb8b1d28e1365d799bc50ca02539c12
MD5 3cf601c5ea0f067880f32ae534739db8
BLAKE2b-256 4559c65805a627b6e4327a183a4ca8dd6aac6c67f49f2511584053fbf22ba305

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ed5e3514fa0b68894c889cc0d8c4d8b222c3cbbdbf807dfeb6986f894ff63f5e
MD5 3da252ec02809a0f5a1999f40f902dc4
BLAKE2b-256 f46378a2ec43549baedbe41c9c8403b2367c00bcc0205a619a9fe4db69188019

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 687f01112ac4eb73e7ea056d748cb0cad42ee9495f3716a0bde9dd68564316d4
MD5 04dd101b67db9c064ad8af15c31170a5
BLAKE2b-256 9611506e4bdfed17aa15459d03bef77861ad68dbd35a9d636e87b435783ead83

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e4d0eaa9cf3b6fe222d99c9ca16d6e90fd85e5964e4a30e58135e078f0318388
MD5 f8c88db92af75acd0b1ccd8f1ec2b62f
BLAKE2b-256 af9512a6ef805726f8c7756469d3224bb6f070917421b81efea8f6c7b9364149

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 364e070f397dc4ea3babfa4aea226564ffeef2744a0e3165fd3429ac970c5e35
MD5 0afe31eadf25fb1b764bbdc4e91f3c0a
BLAKE2b-256 ec319499dc6d85e8ee14021a40d58798918bc816b1724e93e57bf4cb981f1c05

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f68e880ee3824978adf662c643c9a853f1ba50241d2b18a538d69f44116e26a9
MD5 78072dae3f2fa5ef6e1d6f05c23899ec
BLAKE2b-256 e8aa7fa05567f5a0852355a986f6e972bd9d616986c3b8ce057b8a5d48a3b1ba

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 1a2ab21e1a74e3e20c554e7e588d60c4fa1c0652190391d9e6fdf95146bddd72
MD5 41e7c03b51b9efdacb257416fc0b096e
BLAKE2b-256 4c77a2a0e2a7d0e0f0d3dcb770d0a074fecbc73d15e4ae00126d91061fd4e696

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 454.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 7373cd00e6e4468876633f61f0ff9153351c3d301678377d979335fb796cf1cd
MD5 456fdc4a857116c7972c17a42180e894
BLAKE2b-256 802a95bdf3cd3900544f5d204936b03fe82e2c2a7bd357767f62242029c7391b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp311-none-win32.whl
  • Upload date:
  • Size: 441.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp311-none-win32.whl
Algorithm Hash digest
SHA256 cb750c8df62c2ac0b78c159ca6a58dc6f8238b6dad258f28b9a40a9b1b401cc1
MD5 8fd89f1e53d23b7e19eb8dcc54116d36
BLAKE2b-256 cbd6367c92d15e743af501c2dbf26b69d52cbb7ea8d49c29484cf577a5fe8432

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ff33922213e86f00881c6b3976c8f1cfd973fe81ee74cdaff71299e71127abd4
MD5 6589e4c80b681570a87ffea247c15168
BLAKE2b-256 53823bcde0ca9893b1272e78552867fddd9af60a467dfb817dee6319bb4cd98a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a1513f0b3360015239f52f92ebf7bad340f027b897507f0093e69ee123f3baf5
MD5 1ce9a0b3b1d1d8142c6f13cea1d52211
BLAKE2b-256 0ad9360cdd3385a39f7ebfb6aa224367c80fab2d4560fede32987f2e473307cd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c0830150b50554b2d728e931d8b3c229607d73ffbaac2bfbad05b81b25565696
MD5 9ac69027801a4fee850130dc8b11a650
BLAKE2b-256 d57b86be573874a47b7aeeb152c4ec6e7d6ad3f6ed74668b475a88799da37701

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 eca12255f458af1b0b35fc7aeae5120c39a60ef7876159a4daa8b58a709ee094
MD5 046bb532d841a67c7bf4cd130a33de86
BLAKE2b-256 1f2b2aed9a6ea4e9da2f34a0028cc7e6c0f3276f2695ca4cb2ead38e73867449

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cdab431e055f3f81090a39cc19ba4b87e6ff8daa4f7008f7a4aab4b89e4cdd93
MD5 4bb5062f693c83b8485939c180223679
BLAKE2b-256 7fbcd9bd17820579fb06c79bc66f4acdbc0f85ae91e7cecec41c03646c2f45bd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c558abc5d5f6aa821ddeebcf792f9846cb69399bc3e2f538987f3c140b22d1a3
MD5 4969c53d569e01d073f8b55f9c65fd2b
BLAKE2b-256 d6aa18834c0d5573cb5ba79c3730ae3035ded61ef3252911bb47f0e05f20d502

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 6d68188c58fb02cb2326ccd77196f62fa37319be7162bcaa0cd01032f03fb66d
MD5 0d78cefa466b872bcc182b756b67a132
BLAKE2b-256 7430afb938b20a4319463072245df2fa4a7412164553e3f6ee6396f3fc7ce7de

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 f42022301bcf87a2c64737cb1b12bf751788b1dcdef2c4960dab0914adc95dda
MD5 f483228caf4457ad07f43cbf0437efa5
BLAKE2b-256 55851a3d82b9e871ba0a9ed3e6733486d1db0272895c1194911952f72463d888

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 454.9 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 28ec4a21b92fa2a2fc3f23f5707cd5ed4c908ade857f3e3acd6999c290e18dcb
MD5 ebcffea3f6b6bee0386c321755869468
BLAKE2b-256 befc7c6b0d97714db9f552a3e4baeeae8663ba8dc48abcd3f61ef539b126b9fc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp310-none-win32.whl
  • Upload date:
  • Size: 442.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp310-none-win32.whl
Algorithm Hash digest
SHA256 4fcbc526f41e766733d39cecf92f52f4e3a2da6bad846b6ee7e45e38ab9c2a20
MD5 b0e580f43eb14e8a4e34fbbff32ba046
BLAKE2b-256 43f327ed6575be83d263b097acd26f7038a5e134092ff95fec79fee9a4028811

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 82faefa78611fa99c42de96946c82d67cec97709f26e2e9c7577b2b8f8b56570
MD5 4444d3f1817754884eecebb4412492ed
BLAKE2b-256 acade15a3a872100f821f465d5772bbef9584de9ae2bd3af3da3dde84ebff64c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 ed58936b3b29427e712b5a30ce371806a64ac775580461b8046b7a141436edf8
MD5 d7fc5c6f1eda4ab16ac591d15e753f16
BLAKE2b-256 d56c673ddbf4ade9cd142dba4ce98ffbfe885603cc85e93ba2f3dc362732891d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 2c39a0fef84e39f58f3a495200e9aa192a32cd6f924dd61c4fd15e983c2e7377
MD5 6fbb40dd803efabb082322a63a5ab364
BLAKE2b-256 e7700642f965b3412beeffdfb97a3fa75c8c18f9889b8163d952e5d4ed28b050

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 95451a482404ed9190a3ac77b14af714d9d5bf165f3cd25940b23aa414fc69c5
MD5 54a1dd72127c2d658b1b8cba3a1b3878
BLAKE2b-256 5366697aad817b7b1bbe4a78335bdb031aef1a92613fd9cb4b13154831efd686

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 029ed3bd9017544e6a09e95aae69a8283afa65cc9780b11adca636ec227052df
MD5 51275ebeadee86625313e72cf210d3e1
BLAKE2b-256 0655b493e106c05292021be989a92c63d06fe356565f4c4c66f138b230c0eed3

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 65d1b0746f3c05ce2f77872bc086eed60fe51ef6df2f0b0e9902efef06e2c209
MD5 1f92b962ec96ddfb21f3bfe2a529bf72
BLAKE2b-256 eff80cc22b0e90cbc7c81985221422b89f9cee9bd307a671c39665f9ca3ba0ec

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 6dcc2a3d92a539232b116cf49d96b88dfe5a8825a3d070d6822a217632244a7e
MD5 4d6c180cbf92d9f5b636e4ab66f657bf
BLAKE2b-256 5f97baaa1771e55dd7a598f762fe4c2260fa1ac9f0cda8fa724272b56b5515e9

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 2561d50619520c927a5beb431d9bc045fce0f597f2807903404ebd1eb41cec90
MD5 595ad444f08b07f44a8011c0c4da808c
BLAKE2b-256 ee024b66d295d8afc292d5f872dc11257075d2b01e984a4927d9767722885da3

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 454.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 151363500d1878c8476318319f71790b81945e45c3687da3d33860213da4de37
MD5 a1d6fb9d24ea3a9aae26e6bfd11ef9bc
BLAKE2b-256 c77e41dcacbb6d08b931e0d983beaa79843ac3ddd59e5a18add1737702f43470

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp39-none-win32.whl
  • Upload date:
  • Size: 442.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp39-none-win32.whl
Algorithm Hash digest
SHA256 0488b45a6538bfb678c498c6348584c6886fbc38145d363f1937a85246e47f9b
MD5 69e19d72ef1f8f8995a24c9a35e4b587
BLAKE2b-256 5c7644657ad632b17c019a1b545dc75407e82a86fcf24a5baff6924b16877806

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e413fe2ac60b38a75077614d74810e244c40f966b5f1f897dfd922cf38d5f72f
MD5 579f87aca426da59271f59e880f4e0b9
BLAKE2b-256 2622b63e971c82043afcc93511404030aa897ebcba4d89155035130199ddbb4d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b886d78b49768eefa717ca9e3dfa5c708b295317a90ca9b8dd240017c6fd6349
MD5 ccaff962ca992f901005cc6e6d8315e1
BLAKE2b-256 9890768a06530c4069a906ee63559be9608ae9c059814ce7a582f4766aa89253

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 513e5a34d10d58e77d6244e803241061d76af82cc725346e9e038a359c789c0b
MD5 11dbe46ed13cdeecd53253c474b4ade1
BLAKE2b-256 8e7ed3136689d76ec5a901d148dd38a69ded87101a878ec55384a862b9bb3dc6

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f20a6b0db3c00010fd67e274a1af8a0ff6790728c259ea516d582987cb0a8c9d
MD5 902924043f46f204126b5691898769b1
BLAKE2b-256 6780de304c465cc54d0e489c27385c9281271b9e73ceff2dcca1f1cf129a88da

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 13ff2ed4b75d5316ac7abbf3fdf9c447a14bf08d5608b9368aee9e5b4335cf31
MD5 90ba733448a3f6bc9ae14b4484f38912
BLAKE2b-256 dcc90e325accbb71508f604642ee92afd0e1d9a2606d8303ffd3ebc0ac728816

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d2423a6151c3e5d2b6ed8301d65818710285930732676b7580487e9615f8d0bf
MD5 9ff342cab893fde74480f690f89144cc
BLAKE2b-256 7bb50167072f502d78cb2fa96927ac250268e9b993dd0aaafaec1a710b53f3e4

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 0614970259a02b642a6c71b6306c6b948f0cfd8632afa4ab628ef07ee213d488
MD5 183ff573bd3108066788a4c1b62771f9
BLAKE2b-256 3ee3cc0c37d3e19c9494a965b63df7a03ba5211d7f6e02d7807c1a9a5d921171

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 1922bbad7fae62504d3395159f8714d2cc439fcfa8127d500d911c0f534f29ea
MD5 c67c2df634a373a5a632651308224652
BLAKE2b-256 45fc112b257f3e323f41a7df3a1370880680170418fe57edc423df57641a39aa

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 454.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 85284f4d5d833fad36206d9cb808439c502bb1ac81b589e33f27d50b0e0e62f3
MD5 e97b60be6cee59046ad2cd14763de3e6
BLAKE2b-256 6ccd6d81cd2469fd8bd04d44011b1004e50623add1de5060e9d52da34db8b075

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.19-cp38-none-win32.whl
  • Upload date:
  • Size: 444.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pycrdt-0.8.19-cp38-none-win32.whl
Algorithm Hash digest
SHA256 6aaf339b9034e6221045dfd1376ae40e8eac0fd056c9e00008b416df67d07c91
MD5 7e4ece244b45d5723be8fb87e337fe78
BLAKE2b-256 bed4ffddb40b77d5c92508fd4773ec9b2e395d6f1206bd997b6420d7d1826b69

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 679a66fbab00dd828aa0319a0fbfee7b1df0e3d560a5b988aa03634822cb49b1
MD5 fbdaf9832f04781006eb05b1820bde00
BLAKE2b-256 b9ccd5d0135be35e640e07f055463e9d5404fc055eb7387c12fec9aa8a327f4b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 edb7f9521450eaa2f14c84f445444557d6e9b6c25c247e5481de9cc8f00b87ca
MD5 ded8ba7bd973580fb57d7630cc9f0899
BLAKE2b-256 4f518979af758da0882a49e49a87c3ddeec3ff0e0a07fe45fd12357c3212c6dd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3dd8d5528533e32ec90cc564889ffa62b5d3eb6f5fdd85bef32bfbaf7fc9e497
MD5 1bd164ac40d623fdfbe0b09dc34e561a
BLAKE2b-256 4360b102659a058883134640a6a60db846d2ae54bd3fbaac0a4248c492c9023c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f885c1562c32129b1d7c53f6df4c949845cef395aab3b9da22b1038fd8482b01
MD5 4a34d72b34c0bf78cd34bd215e05541f
BLAKE2b-256 678e3e0b5073b5a96b7e92bbcc2ccea708519c9326829ae6857b67a2d644bd3a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 01f8d394aa6c2f054a489b182feb5525d45dbacf4c6feed593d305fb4ae8467d
MD5 d8279131320650c689bcebba0b6e4746
BLAKE2b-256 3f90b20a2169ac22f5efd2d7ff866e5cfcc505f25c834d15143a64ceb3d4f3b1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 2f6ba9d4ff05f3882c4168ca177bf74a7bec61b880d7454234419351bf0cf069
MD5 e5b4abdb7aaa721e0edb99355ca5be66
BLAKE2b-256 3bd80225c8673f84c54aa0cfb3d48149fa66ed98f0dd56043ef70a0145e455e7

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 eea6df0a58a59faca9e9db882cd952764b658c00e1c7202b852ae090850f1cfc
MD5 675b2c4b599c01aa85009e2498a16ae1
BLAKE2b-256 2243d137f16ea40ff3eeb95f86ab4fe8bf90454ecef76c0545831a604180c3d4

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.19-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.19-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 5d30d2119beefb4a6207d5744a145389b76f037a6256bdcce62e05650c0b40b8
MD5 691025022f7f665bea953af8e9f65aef
BLAKE2b-256 518c54265d0426c4cc890694b755f292a4dfccb0c69791bf06d656166b81f796

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