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-0.9.15.tar.gz (50.6 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (836.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (908.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (847.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (834.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (901.8 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.9.15-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 MB view details)

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

pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (838.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (909.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (849.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (835.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (902.3 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.9.15-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 MB view details)

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

pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (838.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (909.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (849.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (835.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (902.8 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.9.15-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 MB view details)

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

pycrdt-0.9.15-cp312-none-win_amd64.whl (613.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

pycrdt-0.9.15-cp312-none-win32.whl (584.1 kB view details)

Uploaded CPython 3.12 Windows x86

pycrdt-0.9.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (829.9 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (989.9 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (906.4 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (849.5 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (829.8 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (900.1 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.9.15-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 MB view details)

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

pycrdt-0.9.15-cp311-none-win_amd64.whl (616.2 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.9.15-cp311-none-win32.whl (589.0 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.9.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (832.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (997.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (906.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (849.8 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (832.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (900.6 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.9.15-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 MB view details)

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

pycrdt-0.9.15-cp310-none-win_amd64.whl (616.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.9.15-cp310-none-win32.whl (589.0 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (833.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (997.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (906.7 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (850.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (832.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (903.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.9.15-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 MB view details)

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

pycrdt-0.9.15-cp39-none-win_amd64.whl (617.2 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.9.15-cp39-none-win32.whl (589.8 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.9.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (834.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (998.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (907.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (850.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (833.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (903.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.9.15-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 MB view details)

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

pycrdt-0.9.15-cp38-none-win_amd64.whl (617.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.9.15-cp38-none-win32.whl (589.2 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.9.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (835.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (999.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.9.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (908.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.15-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (850.0 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (833.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.15-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (900.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.9.15-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.5 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-0.9.15.tar.gz.

File metadata

  • Download URL: pycrdt-0.9.15.tar.gz
  • Upload date:
  • Size: 50.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15.tar.gz
Algorithm Hash digest
SHA256 731bc62024043cc695a0b0b75020bcb1e7151c2b46eba636661b4e4ffb19cdac
MD5 fea1dcafbdedadec4cf41bfd13b3c5cb
BLAKE2b-256 5d5bbba79eedd40f4820021bfa600c264c726a2e74981a0cedc9ca4845594014

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a66d81fe854d6510ab67e19028ac1c05fb850732fb65d4becfafe55082d19c38
MD5 8e59ed8c3cb0139afd28ec77982faf6c
BLAKE2b-256 d06d434a7ca54e83106702928e213acd25dbdb383c7eaba63a5df99a0eb8af39

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 2f95de2c4d481326e54403f0793f3079a7623c7cec040bf19e984e8818d48712
MD5 d5979310a2a528e2543b13613360c87f
BLAKE2b-256 921a035ad4b837497dc54b5a13be86c6e00597afc840505632152a1a3a09e206

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 86d560aa27b95a76ecd023797cd52c9b159e791b99c9bc078add3f186b144175
MD5 63cc8f1097c398546e63bda3e1b50776
BLAKE2b-256 f06b42f60b434a2405e7e4e21ee80735e1e98dcf2550140008cbb0e9a52cbabd

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 065f1f2ba79ec5b6be41e7876aaf2cac9b787198ce9475273b3c1be09bd92f10
MD5 7003a332226c0b0a3c365fd95996ca06
BLAKE2b-256 6ee05b6ce26d74c62152a98971f46be19c665c2ce2e94d5ecd06f48191719913

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 136adcad4ba11de417fbb1688f6c55902cc51df0b0eb7aa6d0b4e5d9dc19fb32
MD5 425e816cc9366b95428acaff93ab7616
BLAKE2b-256 55b8bdd230668405d5e5a5f76e94d5e897449f9c28cf571cabb5799e3f8fa5f1

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d613765e7ed5e68b718d9a1605c78030ffe0a4f14fbeab3896ffb40a57be1323
MD5 21946b32f1f32f28a6145116905debc7
BLAKE2b-256 0d83e27cb9d1a8c7c560dbaf3bde57bb38490499fb0a1f1a01a3083c08022d5a

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 6c78f0538d3d3293028aa31ae86c52f89c31c646f56ec8c24f841fa67617c86a
MD5 461a3fc6592aa363a3ee24bbf3f272de
BLAKE2b-256 f0eaacdb8f463c32ff721648f03973ee18aa2e3dc3953b75a4579534cda3fce9

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 77bcc57624cbcd12444c0bb6bfa382460d244b1316142cb0bce15233378b460b
MD5 2eae35d02c65d9d498c88904a56e2a3c
BLAKE2b-256 c4f8da511505af608ce1aa412e4a8f3acd1d57cc8877723c8acd0d30fa372943

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 992bf7832bb37955fc57b29a6d593a9e7890a83a8a7aa470cc909acd92b566e1
MD5 a43bf6541728a622810315689fec5bcd
BLAKE2b-256 cfb83fb1438c58147539cbfef4721fdff40b3b7cc2241a3d6a2526ef4dd280ca

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 2cc8632b6ece17f61595b5edcc0f13faab71d69fcd4cee7a4864d7d57a41abb9
MD5 11d12ec900b9509f5d3f02bc5875cf64
BLAKE2b-256 71fe630ce08cf12ca1a4cad7b82601d1c73b1ea7aeeabeb88f4f180d55438df3

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 c5b880b0c6226be6586a9a12255ca84e5349d9b79b2d4b9bbeb76771a3f0eb6d
MD5 25623c5d74a8e37124ed084458781aa7
BLAKE2b-256 39e47e0c519ab5baf9c721c51997d2aee51be0bd871b100f0a6ad3aa209e3a08

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 270b7d3604d43b40a5604f886e768465d8677ae55c6010e0fc0d274a8bd761de
MD5 9cb36afcae4a365ac2865c249951f51c
BLAKE2b-256 2aeb4d3849720562f9d9e27d1e1145e552541c57e605dd7272ff50545de1493b

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 2f08a4768b126ac7c07d9ba2d809c19b599665d41f007e7b0125ae7336aa80f7
MD5 03958c3d54d26df78222c922ca3e08e5
BLAKE2b-256 a8b1328608c1e1be0d3b1f039b9ce00c07a3d9dfdc49050bd5064e9390dca2ac

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 4ed3820210d1bff1cfd1f154d27bb4a7b96590f32ca634679ce93760fe39d2a6
MD5 3929e1c22aa7da836ad43fe4b0276544
BLAKE2b-256 f345359fa9011f41663edaff878e3f9e00a6d1ceb36415c4a4b1149308423166

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6edd63b919440a6a219d4cff87366a2ff1bc5d74610732772214bf5294f8db65
MD5 7d8376217a44c240486ace86bca73b5c
BLAKE2b-256 96537432bb50c8fbc9a1ddc22978eb07c98fd2430976ef48f821b7b5cdb8d505

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 d941aa1c1f682c0f57e8a45572cb3dc3fc1015f5a5db3b359b50b536005fb634
MD5 8ab7b4468304b09593b3f3f6ed38cc73
BLAKE2b-256 198f87499454d046f7a86e2fdc1548da0b3fb9c4f4d4bf013241ec279efe7385

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 5ed688a6344a52a5d81be0473cdcaf376077dd9119fdaf97836db4ecc980c3ae
MD5 c008272b7ab04717406195fc75c44ece
BLAKE2b-256 a02b2614ef8f6ddcd64c5ab13bd6ce9510e953081bf27962890d42109989fdfb

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 6e418df2eb5f07c68d9f32377042e3c309762211e03c29edb7c0d836a3859fbc
MD5 4c12afc3211f3eb11eefe7c4050bdec9
BLAKE2b-256 05ad23e09a36f2421b505ff869d7572ecb6b887304b9ad7fe779c4c42c482b34

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 02af53469767a5d5c977faf99ed384a27f8288c36cd88cf50a99e60cc25ca6d3
MD5 62203c0dcbd0dcf38cde3f5d2acd7bcf
BLAKE2b-256 2a3d0cbc7e996fddf93480c25704280d6cae2d5b6bb75597e37857a53070c5ca

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 1385fca1651412d21543cfb917c5b0a5154f5bacd6698f22768a8e05217abb82
MD5 93fa44d76619215e4af81d80b4ca1cc4
BLAKE2b-256 341fe974185b82b94ad4b2dc509ba151d45bd32395f3f0fdcf4497daeaa704e5

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 a2606678051f04d32f6755880f9eee53a573cc1dbd0ae605074bd8f239c533fe
MD5 7ff154a4fe5482740e32ed13c907cbb0
BLAKE2b-256 bd77b7a5957fedcc2eaf43237f0b386648123ccfff6b4972c60b4508c221039c

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 613.7 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 b82df7fc2f6a0b8defad404a9153dbce783682faf56fb2e902fc13198148f091
MD5 bd2e7f8b9c6394b697e58afe5ac48892
BLAKE2b-256 57f091ab043b88c3cc23bacdfb8a81fec2dff37b59ca5f96b152604842198a42

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp312-none-win32.whl
  • Upload date:
  • Size: 584.1 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp312-none-win32.whl
Algorithm Hash digest
SHA256 c6ff815ff3bcd607f67bae23fb9c0e5ecab6c6e0868978fcd1d41a04ae5c6176
MD5 9b8e43013cb62b402a5fde8fa38a130f
BLAKE2b-256 3bf5842a30c696ca227eb62accf9c065988e848d826bc5f941632221ad50522d

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f5bd5e4849185c7c8d291eac75ba668bb9a5834091f4224b9dde9a5d40a2dcee
MD5 198e971dc8902c2e94f299ef148d0e21
BLAKE2b-256 e211c0e4c5664f48c57c37b4829ca1d4ad3663031c0557051eead4ace6f0f34c

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e76af14d199e7dc8f58bbc38d8ba6dea458105f67cc5afb3385f4ef6cd5b112a
MD5 4294bf0007dfe28edf32a3d3ea27d55e
BLAKE2b-256 bdde09b6c5e5d14438a79577d9e648af363ff7f29886cd73ec45773c3969cd08

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 109f0f30b621dbcc56e0919dd221d61822ee9d95227774ce37e545c722e9dd14
MD5 b93a148348cd760dfdd36e66add16ae6
BLAKE2b-256 d0a032df774f5ab7a3c2117a3d121857e5ccd5b99d264d99d0b8ab99348c89b2

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 608dc892f43a2993f9567a9a1e326f790f7ddcdd1075a4bf3e1191a9dce3ffd6
MD5 c55025c3d0043a9174b5d995112ab294
BLAKE2b-256 7257dbecb302640e828ebfd3ecb2f372d45b022871805fe76716f073f315070f

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2c336b51c9e25989f6eb561335d05db500e9e914c7e6aab50200a61fe8a61094
MD5 d4b6cb0dfa33687841979c6eae6b6706
BLAKE2b-256 3c3950230784cdcc38dc04c8e465bba8a9f23fd607e0294e02c6a166735e6105

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 060e51250f34f341cf115d1a0a8c59e717c05e96c758df51e140ccf0147da815
MD5 5ae865078afad4235686f97c1e9d421d
BLAKE2b-256 58d3455bef3d03d6b0fddbf8d5156431496723d933e87ff29f1334448cc5c79c

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 9ce881925df124290eb9d99acb07bfc5cf7b1ab87b82a83c6c6cafef5cff494e
MD5 e6cd0ae8ce6fedac3c0ef45b4e8e40ec
BLAKE2b-256 704530ec8459f68a1d9de3c39290f7c210ed7efa167eabf2ca2099ee748161aa

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 616.2 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 c44469643ef0f9e09f034c92f612e4335f441e6200880f393c921c65627a9211
MD5 293ab3c6898f59ba585cbf9546bf4c31
BLAKE2b-256 c641d5b5267a3f05d323587b8a2bcf2c85a76ebb8c5b738c1f9ccfcc1c5be3d1

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp311-none-win32.whl
  • Upload date:
  • Size: 589.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp311-none-win32.whl
Algorithm Hash digest
SHA256 486fb811b266f1cc515b0821058abf5819f8198f7ed9d3d9d0c19947f25c2755
MD5 3b80d8c63884a9fb9466c2f79ec80931
BLAKE2b-256 c3a2cb82fdf1c337151640516dcd1766da12a6c0cdde5741ecfc337cbbef1835

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4dd26cc380c5bbee42bbb26d41f87778929565a258b6ac2e491aa6a63e95ed31
MD5 cddaf7386dcda4770f87e89667ce5a91
BLAKE2b-256 2f933aa1461d4c24d4c1c4ff12d72c0163af6d65b43d6d7d92dd66323f297297

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 fd641e5b0decca073dcd1881759512b1435254f8f8cdb371d743cf0bd6598823
MD5 dd3a2f621c15abb62ae2a0b73b662c16
BLAKE2b-256 d75d26504203aafff83dad8ba044350a6ef8856419cb3acdbd77ee6a9930f15c

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 86ee334e725096d4eb1a8c8d060822028f9a705aac6eb45c01955f1b08c6e342
MD5 fecc04ee2358b72364930bb6495542ae
BLAKE2b-256 c6f437d12b4e8e9d425f3ba1cb6fb05950645cca8c7e1d41d6a6dd3237d151d5

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 01d0837c1bef2d6d7a21435e01924990ac71195bdfcf1f39e9c52c69d2bc7611
MD5 f7dcacd5b47d89a3fde0f89d3a60e72b
BLAKE2b-256 dda85bafe8ce1296808864cc5ab059688159c98e32c884b589acbf3f36c1fd4e

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 01850b873a34b81328ae44a3b445e5fdee6a5888a568ca5cd2b80780eb1e7c85
MD5 1bdabb262db8319df8998dcc0df30eca
BLAKE2b-256 ba3a0a04a14437ced75d61f0c505cace2c52713d9bd556814b33b3be87048873

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 7c96171d9f41b0b496186ede40c430ec1ea0f2c8ffb75426d38c3c47b4856fd9
MD5 8bf9a7ff287b6a05e8faeedf4a48ca3b
BLAKE2b-256 a43e8804576a04f7557ff45409741673972caef919a94a5097409b0a3c638d44

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 034c43d0094e7ae9df900f70c1fc6b9dcd61f7535bdf3d7a7f2db3f75730612b
MD5 e3c286dba6cfede72889136f15cbb757
BLAKE2b-256 87fa6f44aa2a0c6de145dbc51d458260950f9833aaa3ec892ec59c4b8732d102

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 616.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 448564bc51a5d3e1f38f7cb4d452c62cf83d86e2f7efa250517ef11dbf63c12e
MD5 f151c4db5ccc741f5dbc5f7d5e759298
BLAKE2b-256 8672f86fbcd4258ec1e00eb03843fb253e77ae4e7cd597232b18306ca87ea5bd

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp310-none-win32.whl
  • Upload date:
  • Size: 589.0 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp310-none-win32.whl
Algorithm Hash digest
SHA256 d1cbe2ca3e2a9e2b538219ec26bfed5b77e13f7ebbfd1d4a344a6f689208f9fa
MD5 19c7973abfae2b8e679632b545a3ec5c
BLAKE2b-256 73940d610a60b32d4e317b3aacc0272c1c80ecf916c25a09fd94b2e4f1b1a760

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 54fd17ef7dc3532158e6af98a41996b4776b5313d51aad6aacf24347af2c1154
MD5 e925a5b87248ee6eaeb6742c2df0dc8d
BLAKE2b-256 95cc78579576212d44c4a94d4f34fac787abcf3ee9b2a76b3a3b874dea1d35e3

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f69a17830823b7413d738a8c7b296df41cbd13994cbee3569d471f6f61e146ba
MD5 a40050e3b578100eecded7904757db42
BLAKE2b-256 0b8364b0cbec7e6957720ec8c19630789ce680c40cda1f0273dce346fe326a49

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 aa738d940be973210783a92653b9d51557aac286cc638b23b2a4162a4f3765ff
MD5 b41e9d47648b98b2b78007b00edb9a92
BLAKE2b-256 49d49222e9d0580fc0c51c5e025984369db65d5a6ef5ddf8d491ca673955bb71

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 61fdd8ed02aa5841da3c318a4661292470bdff1145ff2cb48090126c9998a9c6
MD5 83f8c7efc59d65439fe666be4b8b3074
BLAKE2b-256 52d77440292875495054df50b2ce131791beaa4f97ece353fcd328c6b2014bfe

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 df31c2fd66c5736a07ac7c7e49da0186bcd2faee00ac3bbbe59062dac524368f
MD5 09ea9974dcae8c733bdab55b2fa01f49
BLAKE2b-256 d22f2a9706dd8bf52a2db3680cddc993de3aff52e01efe135c6f1ac7e30e26b7

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 80b146b1d79f592f038af0d168a6d52a0705917c1ebab17b94c6d31d392d69a0
MD5 53b769ffa7d0b0cc2295d8cce07a0ddb
BLAKE2b-256 d2e465a6a8f2f5efc4ce5431e90727a1c5d97c5e52d2c5aee283b66410c4534d

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 dc8323e148ccf1df8755f16c8816d235d0347981c33fa28999ef6cf94b9d284b
MD5 53eaba28c4afafe471c8daef8877d6b4
BLAKE2b-256 5cdbab10f845bd3b0b14c3576e6039fc3f21c79d95e9347552cdd7a54c6a9628

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 617.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 25989ef1ba7bbf5e0f9a148075e659625bc6d30cc5e3390506f8542ce58c9301
MD5 564e922f24c1f9334e28391a01e45889
BLAKE2b-256 0cdab4b438ccb8880bc0cb9df3aa17a6eb4174fb6f8b7f61c2ab7dd9229df361

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp39-none-win32.whl
  • Upload date:
  • Size: 589.8 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp39-none-win32.whl
Algorithm Hash digest
SHA256 020483df75b3def1955c268c925ab3b2ba34bec6e7e8c52f5a5dfefd0ba78ec6
MD5 1beb5941c0eeebca730074057b43860e
BLAKE2b-256 5931c6e78554151ac10bbdfeaa245bc0c44b4f190ab89a70b94f06cb6ae03125

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4b61159c60ffbef599a6539468e61801f3009eaf4aed1af9592495c7718884e6
MD5 e198dfa97058598bba68e99f005e51f5
BLAKE2b-256 a9ad01115b5859a4a901f3cf556c4674b49b7f0faa1f95a1ae42493359361177

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 bcdfe9f4319a63b4d237828ddd1bd2d1377a067bdbad356d55de0658fee00032
MD5 fe8e2c4ca699ec3e31d975a838671cc5
BLAKE2b-256 0a1ed1c84a05864ddf92988e8bf3b673b0032180c9f52055f8d817fd24a2d04b

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 f441feab7e4ef0bee6938e0b36e58117272c7e38050430c6417dd3d904df51c0
MD5 80226b6724cc0ba9a8b43a52daa52438
BLAKE2b-256 3a822be6a7a5ad90adfdbc292e2ec5ea6e7cdd58bc2c8a7d788d709a20fe3c82

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 4ce8b409c1ebd2a541fdc0fae97b03459d8e17be5ba31ecadd0d245e3ace3fed
MD5 36584d114391ac72e30049006198d3f5
BLAKE2b-256 566650d62c75e4ae0bf73083d782a6120cf3d81c9244a924f9da06d48e140a66

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 af27b644ad60687c3f25ea4eed960f6efce41b70986b536d3db9a2c062962687
MD5 c7103df71a38d8f8500d74d27a905aff
BLAKE2b-256 b55b0aa93041f8fafec3844645fd70ffca7f7d569e91a2151739b99d7c1b58eb

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 917302f3a350d8454fe3dee281165b36bcb9d94699b378643177c2565ee0a5fc
MD5 77a51e98809df09068184ef5b0cdbe6d
BLAKE2b-256 de43ba8068ff12fcff8e31cdac80e3a8906f2d04157d3d8b9ae92ab9a377c5c5

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 e3ca920cef737628630982e17edaddf50e108ec9f46597833cf4cc93fe7c8dac
MD5 abcbd4cbbbeea15aada25dee15b184bb
BLAKE2b-256 e54b3ba2e2b534719158446ca99f533efad6bea23a5dc99e1043bd094f919970

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 617.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 177ee9e1d96506c8be3936120388663fd41fef9212115fc546d5cccc638b925c
MD5 8bb6780300694dd8367903075902bd6b
BLAKE2b-256 222d265f2452f535e609055b5c923b3de76c4c857678a07cb9384a19a76577d2

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.15-cp38-none-win32.whl
  • Upload date:
  • Size: 589.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pycrdt-0.9.15-cp38-none-win32.whl
Algorithm Hash digest
SHA256 6729de37523cbce5fbb345d1e62efc79605f83282aa0672060ae2e9f27e6b56c
MD5 e4b23c9117c4f91847c6635fc5287e32
BLAKE2b-256 0876eb184e9013cc7d6570646787202c1225a5eb4e31ff44dbf1a0ccbfafed74

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 79a458e56d37bc4ec5aea606e217d03b209d8e4c45a281bdf003ca02324477d3
MD5 56c06115ffc56e896f425322044e7844
BLAKE2b-256 1176cba3c4dcc2b569dd71039b5c462e169b8066e3471f86e78f562272a8087f

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b639aab4a5f522a0a4dd7892b659e0fcb3cae48315275dfe8d3e8a20fbb74eb2
MD5 24d1394f85f1a65397980956897bfc1d
BLAKE2b-256 0c17aac8dde8bdd138393492e9342762bc3cfc6593176b30639a4f567ad8e92a

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ab620a4339862abeea70bfc1c54a0eb0ae39f0bd6525bd014123c589070d5ab2
MD5 4a411d0e12b2fe9a5cc86a145aeb5a3d
BLAKE2b-256 ee1a515482ae8341eaa547ce906c87fbe2a1eb28ab8d06ad71d06285bc646109

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f102f51feb64fa997e998d17772ddeb99847b7b4a697526809cbbc9633162e3d
MD5 42aa25055ed4e5dfb423cbfec6a355b7
BLAKE2b-256 a4744f09bede9ad64836d09f6b960a267d5572dbbc65d27252953449b60e5d38

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7a4abc552b80eb85d61d35cd4241a08817cf509b476dd488795cedf9885d5f49
MD5 1d73f630053a7786d9b03a08bddca03b
BLAKE2b-256 ef5f09740514ca75171c56d6ebfe24b783248721d1158b0108f29930cbb12342

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 316bc09836bfe715cf0949ae4e55598676b5ad64e337fc5d9174446fc5df5cad
MD5 bbd5985cb9f30e7e45a1b46c4ba12175
BLAKE2b-256 5ce330624cfadb8b29c0282878aa69dc99e22045707738ea5437931b8d4f7765

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.15-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.15-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 c9f997e5eca1a7d4b271d9511a4037182944144ea07b5e1a4659bf77a6868ae5
MD5 e31e3543a0133bbebdf12a5d7c6805ca
BLAKE2b-256 b6ab942e9ee6ddf4cb721d620689f636704f8a60acc65e367f99d620c43ffbe8

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