Python bindings to Rust's persistent data structures (rpds)

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Julian Berman
  • Tags data structures, rust, persistent
  • Requires: Python >=3.8
Classifiers

Project description

PyPI version Supported Python versions Build status

Python bindings to the Rust rpds crate for persistent data structures.

What’s here is quite minimal (in transparency, it was written initially to support replacing pyrsistent in the referencing library). If you see something missing (which is very likely), a PR is definitely welcome to add it.

Installation

The distribution on PyPI is named rpds.py (equivalently rpds-py), and thus can be installed via e.g.:

$ pip install rpds-py

Note that if you install rpds-py from source, you will need a Rust toolchain installed, as it is a build-time dependency. An example of how to do so in a Dockerfile can be found here.

If you believe you are on a common platform which should have wheels built (i.e. and not need to compile from source), feel free to file an issue or pull request modifying the GitHub action used here to build wheels via maturin.

Usage

Methods in general are named similarly to their rpds counterparts (rather than pyrsistent‘s conventions, though probably a full drop-in pyrsistent-compatible wrapper module is a good addition at some point).

>>> from rpds import HashTrieMap, HashTrieSet, List

>>> m = HashTrieMap({"foo": "bar", "baz": "quux"})
>>> m.insert("spam", 37) == HashTrieMap({"foo": "bar", "baz": "quux", "spam": 37})
True
>>> m.remove("foo") == HashTrieMap({"baz": "quux"})
True

>>> s = HashTrieSet({"foo", "bar", "baz", "quux"})
>>> s.insert("spam") == HashTrieSet({"foo", "bar", "baz", "quux", "spam"})
True
>>> s.remove("foo") == HashTrieSet({"bar", "baz", "quux"})
True

>>> L = List([1, 3, 5])
>>> L.push_front(-1) == List([-1, 1, 3, 5])
True
>>> L.rest == List([3, 5])
True

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Julian Berman
  • Tags data structures, rust, persistent
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.21.0

0.20.1

0.20.0

0.19.1

0.19.0

0.18.1

0.18.0

0.17.1

0.16.2

0.16.1

0.15.2

0.15.1

0.14.2

0.14.1

0.13.2

0.13.1

0.13.0

This version

0.12.0

0.11.0

0.10.6

0.10.5

0.10.4

0.10.3

0.10.2

0.10.0

0.9.2

0.8.12

0.8.11

0.8.10

0.8.8

0.8.7

0.8.6

0.8.4

0.8.3

0.7.1

0.7.0

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.1

0.4.0

0.3.0

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.2

0.2.0

0.1.0

Download files

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

Source Distribution

rpds_py-0.12.0.tar.gz (16.7 kB view details)

Uploaded Source

Built Distributions

rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ i686

rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

rpds_py-0.12.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl (323.5 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

rpds_py-0.12.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl (334.9 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ i686

rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

rpds_py-0.12.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl (323.8 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

rpds_py-0.12.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl (335.0 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ i686

rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

rpds_py-0.12.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl (323.6 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

rpds_py-0.12.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl (335.1 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

rpds_py-0.12.0-cp312-none-win_amd64.whl (186.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

rpds_py-0.12.0-cp312-none-win32.whl (176.7 kB view details)

Uploaded CPython 3.12 Windows x86

rpds_py-0.12.0-cp312-cp312-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-cp312-cp312-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ i686

rpds_py-0.12.0-cp312-cp312-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

rpds_py-0.12.0-cp312-cp312-macosx_11_0_arm64.whl (321.2 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

rpds_py-0.12.0-cp312-cp312-macosx_10_7_x86_64.whl (332.9 kB view details)

Uploaded CPython 3.12 macOS 10.7+ x86-64

rpds_py-0.12.0-cp311-none-win_amd64.whl (186.2 kB view details)

Uploaded CPython 3.11 Windows x86-64

rpds_py-0.12.0-cp311-none-win32.whl (177.4 kB view details)

Uploaded CPython 3.11 Windows x86

rpds_py-0.12.0-cp311-cp311-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-cp311-cp311-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

rpds_py-0.12.0-cp311-cp311-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

rpds_py-0.12.0-cp311-cp311-macosx_11_0_arm64.whl (323.1 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

rpds_py-0.12.0-cp311-cp311-macosx_10_7_x86_64.whl (334.5 kB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

rpds_py-0.12.0-cp310-none-win_amd64.whl (186.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

rpds_py-0.12.0-cp310-none-win32.whl (177.4 kB view details)

Uploaded CPython 3.10 Windows x86

rpds_py-0.12.0-cp310-cp310-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-cp310-cp310-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

rpds_py-0.12.0-cp310-cp310-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

rpds_py-0.12.0-cp310-cp310-macosx_11_0_arm64.whl (323.0 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

rpds_py-0.12.0-cp310-cp310-macosx_10_7_x86_64.whl (334.5 kB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

rpds_py-0.12.0-cp39-none-win_amd64.whl (186.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

rpds_py-0.12.0-cp39-none-win32.whl (178.9 kB view details)

Uploaded CPython 3.9 Windows x86

rpds_py-0.12.0-cp39-cp39-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-cp39-cp39-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

rpds_py-0.12.0-cp39-cp39-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

rpds_py-0.12.0-cp39-cp39-macosx_11_0_arm64.whl (323.4 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

rpds_py-0.12.0-cp39-cp39-macosx_10_7_x86_64.whl (335.0 kB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

rpds_py-0.12.0-cp38-none-win_amd64.whl (186.5 kB view details)

Uploaded CPython 3.8 Windows x86-64

rpds_py-0.12.0-cp38-none-win32.whl (177.8 kB view details)

Uploaded CPython 3.8 Windows x86

rpds_py-0.12.0-cp38-cp38-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

rpds_py-0.12.0-cp38-cp38-musllinux_1_2_i686.whl (1.4 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ i686

rpds_py-0.12.0-cp38-cp38-musllinux_1_2_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ ARM64

rpds_py-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

rpds_py-0.12.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

rpds_py-0.12.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

rpds_py-0.12.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

rpds_py-0.12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

rpds_py-0.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

rpds_py-0.12.0-cp38-cp38-macosx_11_0_arm64.whl (323.7 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

rpds_py-0.12.0-cp38-cp38-macosx_10_7_x86_64.whl (335.0 kB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

File details

Details for the file rpds_py-0.12.0.tar.gz.

File metadata

  • Download URL: rpds_py-0.12.0.tar.gz
  • Upload date:
  • Size: 16.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.3.1

File hashes

Hashes for rpds_py-0.12.0.tar.gz
Algorithm Hash digest
SHA256 7036316cc26b93e401cedd781a579be606dad174829e6ad9e9c5a0da6e036f80
MD5 d1189f9915a67b5c4b5e6dafa804efca
BLAKE2b-256 75bee3f366aa4cd1e3a814f136773e506fc5423eff903ef0372a251df34e6e45

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 6f8d7fe73d1816eeb5378409adc658f9525ecbfaf9e1ede1e2d67a338b0c7348
MD5 a7334d16b72d9baa68df310478f27111
BLAKE2b-256 f94f34d73b6466b8d44bd1f2f66a6faecb1096f5fdd299a6cfbde4357f44ac26

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 e888be685fa42d8b8a3d3911d5604d14db87538aa7d0b29b1a7ea80d354c732d
MD5 09873123b8da3007bd09883e4d5d5cb4
BLAKE2b-256 e4171db90d35fe7c6583afdbb631dcad00d7557890cfc64b3a4f91d7c0b3aacb

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 81c4d1a3a564775c44732b94135d06e33417e829ff25226c164664f4a1046213
MD5 b227923cdbc973dd779aaabfc1f1d5a1
BLAKE2b-256 9c31059cb2e7c65fc11b9d35cfacef21614ab996587bf38f0c2f7635558f6c68

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a2baa6be130e8a00b6cbb9f18a33611ec150b4537f8563bddadb54c1b74b8193
MD5 79d5a72e50009ec6d533d921b8e52644
BLAKE2b-256 73920ad419c250d3d73a79709713acfaac33b328ef4818ee3c95931a3c2a3b09

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 761531076df51309075133a6bc1db02d98ec7f66e22b064b1d513bc909f29743
MD5 676a4622b2619d63b39b2cc13e297f8f
BLAKE2b-256 10a55a28ec00214861402c29e6406d98513889afcb9fcfb26911bf7f2f09e990

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 0bedd91ae1dd142a4dc15970ed2c729ff6c73f33a40fa84ed0cdbf55de87c777
MD5 3fce01196a2bebe506b753371f43c716
BLAKE2b-256 001ae1f462ce76fd31cdcd9b4a7edd2ee75b570fd407cc5135d5d85319ddd3c5

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 a952ae3eb460c6712388ac2ec706d24b0e651b9396d90c9a9e0a69eb27737fdc
MD5 1921f6494790d3ddd727480463b22ef5
BLAKE2b-256 a5f22adc857a58966f080ff8d177ee0140085311fab0f21c2bd7f7d5c15ad186

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b710bf7e7ae61957d5c4026b486be593ed3ec3dca3e5be15e0f6d8cf5d0a4990
MD5 fa017f4ca14c7bc77f208082c09a21d3
BLAKE2b-256 c287e498458321853bd5fcbcefaab66207e1557f7752321480e08db7970a064c

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 f05450fa1cd7c525c0b9d1a7916e595d3041ac0afbed2ff6926e5afb6a781b7f
MD5 f83ba1093027e5f5373cc623ca66f93b
BLAKE2b-256 f298dff019dc50842ba4d92869eb2aa07758cb278ebdb9a37e9b498c7c170c9b

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cb41ad20064e18a900dd427d7cf41cfaec83bcd1184001f3d91a1f76b3fcea4e
MD5 a0667d2466737976ffe4398b92077882
BLAKE2b-256 3a6ae4af214d998579481ea98e38e69b1f7d7b7fdf772fb9dbdc2094873e8909

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 0853da3d5e9bc6a07b2486054a410b7b03f34046c123c6561b535bb48cc509e1
MD5 55593fb23b38a9a74c11bef98e95599d
BLAKE2b-256 b60aa372fb49ce3be3a4ea7fb3f0b04ed79553f5b3e341ae3e8b232f861a0a27

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5f1519b080d8ce0a814f17ad9fb49fb3a1d4d7ce5891f5c85fc38631ca3a8dc4
MD5 c60bdf04f82966d4999e5f119ce7f655
BLAKE2b-256 5407360aeae43dc7fba233bdc648ae9ddf3a59b98231fe2bbeefdfd9b16c1d3c

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 6915fc9fa6b3ec3569566832e1bb03bd801c12cea030200e68663b9a87974e76
MD5 fffddfaeaa84ee23e4cef5b1f24ce3fb
BLAKE2b-256 670a2c5efe9201702c847858d008484019b1ab7a74e02e7d1bbe90cbfd57963a

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 56dd500411d03c5e9927a1eb55621e906837a83b02350a9dc401247d0353717c
MD5 3ca9a5a4d2f18d673c10498b59e27df1
BLAKE2b-256 9f5ce5867efe66527a8a306eeb5204df1d7770782040581bf454f9da89b8e05f

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 efbe0b5e0fd078ed7b005faa0170da4f72666360f66f0bb2d7f73526ecfd99f9
MD5 fa2dcbae87a0309015b58b239d9a7d10
BLAKE2b-256 ab0203da081385410589534d3e08512426f2e5f4ea13c3002fe29d0bde1bfbc2

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 0525847f83f506aa1e28eb2057b696fe38217e12931c8b1b02198cfe6975e142
MD5 90c137f609f6b7800490605ad3ff762d
BLAKE2b-256 8776c1c72cc3bb0f057965d9142342be112b820176f893b657a065ed0a69c5b8

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 47aeceb4363851d17f63069318ba5721ae695d9da55d599b4d6fb31508595278
MD5 33ed280798327a640a7d5558092f88d9
BLAKE2b-256 28c31a601504f45cb0329787764cedf41dc3c261fcf25dd06a9848c4c646da2c

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 6b75b912a0baa033350367a8a07a8b2d44fd5b90c890bfbd063a8a5f945f644b
MD5 c563f6c6d39b0a8458d1c6eb10831f97
BLAKE2b-256 f5d706bdd096a6fc4751c5d097fddf37a4ebac7cd9ef22b3ffb6504d6082b6d1

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 54cdfcda59251b9c2f87a05d038c2ae02121219a04d4a1e6fc345794295bdc07
MD5 e1146aa7ca6fba524887f9d32a14fdca
BLAKE2b-256 5f7cd8fa1e906da2fffb055b0ef0e7c343fe6f35cf80fe410a896518fd5904d3

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 0fadfdda275c838cba5102c7f90a20f2abd7727bf8f4a2b654a5b617529c5c18
MD5 0247634f198bf786b4547820f6f8f52c
BLAKE2b-256 00f90bdb1e430219e9e37e946d81b01ec63fae1f72998c05b6a367603da0e151

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 68172622a5a57deb079a2c78511c40f91193548e8ab342c31e8cb0764d362459
MD5 4dce4418f0dce2798cb17435a293b443
BLAKE2b-256 540868b5d7601f6b62bac0f4b833c666624da72bab3cda2b84c38ab0f99546d7

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 466030a42724780794dea71eb32db83cc51214d66ab3fb3156edd88b9c8f0d78
MD5 30ae281eba06c8525173d18515943fc6
BLAKE2b-256 113a6cd5e46e0b8466f518af40eba3f339d21ce680e40f8c76965aa9b853d4ad

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 2d34a5450a402b00d20aeb7632489ffa2556ca7b26f4a63c35f6fccae1977427
MD5 846f8924079359e4131ede7721d6ef93
BLAKE2b-256 690b030db9e8445916acf4b62f067a3bedb30a04e469de02effd9d94ccb34968

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 1b4cf9ab9a0ae0cb122685209806d3f1dcb63b9fccdf1424fb42a129dc8c2faa
MD5 c36cf547acb79ea8b1cfb5205361d55b
BLAKE2b-256 f04be192a21185bbd95764f8544779a351a3761981bfa09026d263897e5c5445

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 188912b22b6c8225f4c4ffa020a2baa6ad8fabb3c141a12dbe6edbb34e7f1425
MD5 8dbf11de83246dc6b8701f561db5836d
BLAKE2b-256 e36de01743b679a03242909dd5261c00e5bd72dfa6c3d7cd34eadd971d4366a6

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d389ff1e95b6e46ebedccf7fd1fadd10559add595ac6a7c2ea730268325f832c
MD5 b23c14051e715d3f133a5d4ffd4cb503
BLAKE2b-256 37aa293d8aae5601b6e5ff33b6550af1fa604c428a6abc6ad79fcc0a394f66ad

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 35585a8cb5917161f42c2104567bb83a1d96194095fc54a543113ed5df9fa436
MD5 c91c18c0f72e81746e8b4c6e21fa1da3
BLAKE2b-256 370524cfd308d4ebe2e19dd5b78d275236fb6b3bfbdfb00b3c32d89faf382805

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4b2416ed743ec5debcf61e1242e012652a4348de14ecc7df3512da072b074440
MD5 cafc70e1b90fdbaa28e0482c884fc643
BLAKE2b-256 20f195d0694bb270a61451474344de109307191ad17a2b7d34994505f2cf97bb

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f8832a4f83d4782a8f5a7b831c47e8ffe164e43c2c148c8160ed9a6d630bc02a
MD5 877621d901e446530100a25edbf2c28d
BLAKE2b-256 e2f6241087e66f7e4efebe7c7ceba6cd6a1fa4aab688e171ec5f76eb88319fbd

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 301bd744a1adaa2f6a5e06c98f1ac2b6f8dc31a5c23b838f862d65e32fca0d4b
MD5 9c529b98e9506f04518184b41bcc207d
BLAKE2b-256 14fe97cfe0c7e31b4b5c7bf37ebb53c784347fca484f9b45ddc718d8c51e0b90

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9b007c2444705a2dc4a525964fd4dd28c3320b19b3410da6517cab28716f27d3
MD5 81486e060403388a0abd437cda15c373
BLAKE2b-256 e0e0adb9f68452ae0ab946dfd4fba2230de916f6ad4823a12d239defb16b51c8

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 513ccbf7420c30e283c25c82d5a8f439d625a838d3ba69e79a110c260c46813f
MD5 cdb2093eb4a89d70d3ec3f7666b2c175
BLAKE2b-256 4f00eb8922955d9441ebd6d940ddb7cc7affc4c4338d52c987aeaf5ffa9fa9b5

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 0831d3ecdea22e4559cc1793f22e77067c9d8c451d55ae6a75bf1d116a8e7f42
MD5 0a4ee16611418acaa816603eb4560b67
BLAKE2b-256 db87b466d47e02614d054163f68fbfc95652c61c1ff084b7b75c021089ee2623

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 8015835494b21aa7abd3b43fdea0614ee35ef6b03db7ecba9beb58eadf01c24f
MD5 7a98f36c3d4040da500f650914f4bd03
BLAKE2b-256 eacace493600a7cae5fcc23771f5d63b621e6b34085e72623d77e96d79b08a55

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-none-win32.whl.

File metadata

  • Download URL: rpds_py-0.12.0-cp312-none-win32.whl
  • Upload date:
  • Size: 176.7 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.3.1

File hashes

Hashes for rpds_py-0.12.0-cp312-none-win32.whl
Algorithm Hash digest
SHA256 b2287c09482949e0ca0c0eb68b2aca6cf57f8af8c6dfd29dcd3bc45f17b57978
MD5 972ace0b5121faa67be8b9a8eb08e1ab
BLAKE2b-256 5176651e7722396716d895dd7dc0459282748369c32a353116505b466c1713a1

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 4d0a675a7acbbc16179188d8c6d0afb8628604fc1241faf41007255957335a0b
MD5 2399c4b411b46c64fba3186d3d5543e6
BLAKE2b-256 016acd22f14c00eebde7174478e342a7deb246db0443f8f89ef356ffc590cab5

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 08e6e7ff286254016b945e1ab632ee843e43d45e40683b66dd12b73791366dd1
MD5 393f06351883adcd739bb3d467eae3eb
BLAKE2b-256 6ba7e5c137127f28c733dee38136777aabf5643cf1414746b7f8a775124c77c3

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 81cf9d306c04df1b45971c13167dc3bad625808aa01281d55f3cf852dde0e206
MD5 83227653e197ba2f18a2a877d4cd7521
BLAKE2b-256 8110f72d29c5f6f2879a593171f377021d9cba28ee7a402a6f41f00edc224d4d

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fa35ad36440aaf1ac8332b4a4a433d4acd28f1613f0d480995f5cfd3580e90b7
MD5 57191f30a01b87e3cbc84cbd0f473f42
BLAKE2b-256 a4f84d9a3f08522634bd710ab176423de0db8eb7c5d07e2148796dcbfa5def7c

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e57919c32ee295a2fca458bb73e4b20b05c115627f96f95a10f9f5acbd61172d
MD5 5c96e24bd232eedeb166581ac7867d42
BLAKE2b-256 56bbb279b79bdaaf39c34a8001746e7e69d4075965e5cc7b47ff62bda496ed7f

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d1c562a9bb72244fa767d1c1ab55ca1d92dd5f7c4d77878fee5483a22ffac808
MD5 9149b132d41d8b3d78e298d60507861b
BLAKE2b-256 eeee72389414d7c66a07ca7f6669f435ef83bc9dd86c952c4fc99e5b093d3d3c

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 27ccc93c7457ef890b0dd31564d2a05e1aca330623c942b7e818e9e7c2669ee4
MD5 2be97797f1eff7dfbfd9a9c6cd105214
BLAKE2b-256 d22ca346f58d87e04cbad0cfbb1e845b81ff038bd538c23cd8e3bff345f4678e

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 281c8b219d4f4b3581b918b816764098d04964915b2f272d1476654143801aa2
MD5 e43869caa093fc851980c0acc2c6e239
BLAKE2b-256 b41a783834fc44d37f9ee4cf8dc54e57c87ec5fb036e8f4d1405877d1ebd67a2

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 e6aea5c0eb5b0faf52c7b5c4a47c8bb64437173be97227c819ffa31801fa4e34
MD5 f931da18e99250dfb50935d2df9abfb2
BLAKE2b-256 3a2151e14c6df2d4c67d5363c2b1e35935d772a3b8ca7ee5413fc4378e79af25

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2124f9e645a94ab7c853bc0a3644e0ca8ffbe5bb2d72db49aef8f9ec1c285733
MD5 eab8d2abf26412fcf34eedae148582ff
BLAKE2b-256 f08c1c151ed02275e1c67b38de706bba96a2c13335b4eaafb2f9791c25308759

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp312-cp312-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp312-cp312-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 9620650c364c01ed5b497dcae7c3d4b948daeae6e1883ae185fef1c927b6b534
MD5 77922ffff09c8c7cbc75fc219c48526a
BLAKE2b-256 d0df9bf04593f945c5b63ab0e52786df81ddd1259966e70ac5b0e1a380c9d88e

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 c6b52b7028b547866c2413f614ee306c2d4eafdd444b1ff656bf3295bf1484aa
MD5 e3413d5d9f061e5a0eee8871a6d2f739
BLAKE2b-256 379bfc17b763e82a247cf5f3a52198eae434ea36f340e77529dfa4e9fbc637c2

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-none-win32.whl.

File metadata

  • Download URL: rpds_py-0.12.0-cp311-none-win32.whl
  • Upload date:
  • Size: 177.4 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.3.1

File hashes

Hashes for rpds_py-0.12.0-cp311-none-win32.whl
Algorithm Hash digest
SHA256 dbc25baa6abb205766fb8606f8263b02c3503a55957fcb4576a6bb0a59d37d10
MD5 322f62f473d5d6fe1d8a63fc65f1d5be
BLAKE2b-256 f405dc1e5dc5e44ed01d9fbe2a4c6d908ac4d2f29d046be014410c9dc3615e91

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1fa73ed22c40a1bec98d7c93b5659cd35abcfa5a0a95ce876b91adbda170537c
MD5 77652626432d838a194945bbf45e6d67
BLAKE2b-256 66973200cfccac7de77e1402c8dde8d6b1898b0e8be12c680ed9a160e6b15c74

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 d56b1cd606ba4cedd64bb43479d56580e147c6ef3f5d1c5e64203a1adab784a2
MD5 9648a2138fa721027089699e211e0314
BLAKE2b-256 57c02b5751f7d443e992c188a52ead131f62944c89072c8bfadf157b16b9fde9

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 33ab498f9ac30598b6406e2be1b45fd231195b83d948ebd4bd77f337cb6a2bff
MD5 e86d18fd57d19b3f20b19fb98f71ea5d
BLAKE2b-256 26f05e6e885062f9a64ba6a0c78fe11bfd62ac25e562fe192cede24498799b7f

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d9e7f29c00577aff6b318681e730a519b235af292732a149337f6aaa4d1c5e31
MD5 178ec3126e015e41c08cd88d7194a9b3
BLAKE2b-256 553fb145de4d7398913fab9bcda55e8f31947fa48095474f1fe953d8bb1b944e

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 efddca2d02254a52078c35cadad34762adbae3ff01c6b0c7787b59d038b63e0d
MD5 19d7a279c8c2b08485a833fc3cefb5ed
BLAKE2b-256 05ceaf5cb5784249613db3d4ff00995352acd25d19930b49e800fe395ff0b1b1

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 0e9e976e0dbed4f51c56db10831c9623d0fd67aac02853fe5476262e5a22acb7
MD5 62dc2e5944c43a8e911a03e6528f19ed
BLAKE2b-256 2663d7e3eaebacd8a46ba5ef1410863efd45546064204a1b4f2cca3be301246f

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 8c567c664fc2f44130a20edac73e0a867f8e012bf7370276f15c6adc3586c37c
MD5 836f60ec2c57f0365ff0e563ff43906d
BLAKE2b-256 29e3ee1ff1fb4f95f125d5d15de27bbf9a264ea86ad1ae9af733672b3a1f64a6

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4f8a1d990dc198a6c68ec3d9a637ba1ce489b38cbfb65440a27901afbc5df575
MD5 b22ddb4239b6ce7322048358d925a25e
BLAKE2b-256 9e8a3b669d55d6235d91b716cb32677877b9dfad74b180faf7f6af508b3833e7

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 389c0e38358fdc4e38e9995e7291269a3aead7acfcf8942010ee7bc5baee091c
MD5 6de19eb191eae39a745cd3385d98a526
BLAKE2b-256 c99789ed69888fee9fdcd7febfec56f7d52929fb1117ae26912504ed021bf883

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f12d69d568f5647ec503b64932874dade5a20255736c89936bf690951a5e79f5
MD5 45f92b61bb58d85359376a3aeffbc9ef
BLAKE2b-256 430376cf29389b558a2129bb46ffbf98e853a45c2b0b27faec29e59bcc9b511b

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 0a38612d07a36138507d69646c470aedbfe2b75b43a4643f7bd8e51e52779624
MD5 9c72a5f8cd58742f3ccac1e7e51f4d7c
BLAKE2b-256 2eec0a63010a70b9680111a284d334e24c0e054f7602faaf29ea4b23e1e2787a

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 1e04581c6117ad9479b6cfae313e212fe0dfa226ac727755f0d539cd54792963
MD5 bb0b4d760ef77a5957f47497f1717703
BLAKE2b-256 6c519fe0a5cc71ec86abfce04b14c778e99c0db2152c67b855c972dc52ce2e54

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-none-win32.whl.

File metadata

  • Download URL: rpds_py-0.12.0-cp310-none-win32.whl
  • Upload date:
  • Size: 177.4 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.3.1

File hashes

Hashes for rpds_py-0.12.0-cp310-none-win32.whl
Algorithm Hash digest
SHA256 7188ddc1a8887194f984fa4110d5a3d5b9b5cd35f6bafdff1b649049cbc0ce29
MD5 3cafb10ececbafdc856dd4415bcf36ec
BLAKE2b-256 1ee8ed9223bbff79147b0110582443ec5c8d4731d26e11a3e7403ac902e6eec9

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 57ec6baec231bb19bb5fd5fc7bae21231860a1605174b11585660236627e390e
MD5 f93d8ced22e092fb25e0120df4deda69
BLAKE2b-256 aa2d69dfd0ca023d4fa128a2f1f30c981434aefe1d8f7034c94de8b72636a8c2

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 171d9a159f1b2f42a42a64a985e4ba46fc7268c78299272ceba970743a67ee50
MD5 fbc16cef9f1ba138c653708db9675e13
BLAKE2b-256 21ef4d8c7f2cc0f16c8d694af586d6d318618575f83f15d82d160e436c377a26

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 5210a0018c7e09c75fa788648617ebba861ae242944111d3079034e14498223f
MD5 52b485f5171baf8ddcdd77200c6c8c8b
BLAKE2b-256 99c81167ea490b56070a6cf53f372dd69263f76468ac9b4338fadc39fbd56132

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3c8c0226c71bd0ce9892eaf6afa77ae8f43a3d9313124a03df0b389c01f832de
MD5 dc0d92a83691f7aa02d6b85027275d5b
BLAKE2b-256 d5d372a5a180ede35cd28e2daeb2933997c598a4cc3ddb6f047d2ccb21f65df7

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 ced40cdbb6dd47a032725a038896cceae9ce267d340f59508b23537f05455431
MD5 7722ebebb23ff0e0badaa7f38151bdb1
BLAKE2b-256 d548e87df9c6b0e79748494a350f0908a00ef89a3f4464a73efbd32cc58096f4

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a239303acb0315091d54c7ff36712dba24554993b9a93941cf301391d8a997ee
MD5 fd03cb36d24a3b828637e9511fa548cf
BLAKE2b-256 2ee82ececb4f719af08f06051861167588b7279327c2d77de27a0b3cddd3c073

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 eebaf8c76c39604d52852366249ab807fe6f7a3ffb0dd5484b9944917244cdbe
MD5 45f9b117e90dcf4df93643930574d631
BLAKE2b-256 44750930932aa68b7f5a3e36a491a8b125b52261bbfcbc07e41f2be2e269aba5

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d72a4315514e5a0b9837a086cb433b004eea630afb0cc129de76d77654a9606f
MD5 2460682fe269ca7c93fbd8b40444155f
BLAKE2b-256 da3694a4528b54025c65ebb17785010fed9de699c78f7840b936250679521145

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 b8e11715178f3608874508f08e990d3771e0b8c66c73eb4e183038d600a9b274
MD5 e01b37606d0f7ab9ef71e2c43a57eada
BLAKE2b-256 1217e0d0a4518596c2276f790b45c86196451e9e6a460bff05a42c03fd286a8b

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 30e5ce9f501fb1f970e4a59098028cf20676dee64fc496d55c33e04bbbee097d
MD5 0bf15a258fc61f3eaa563bdb562faaa9
BLAKE2b-256 2f436911ea4df34397b17615929448fc7c988d2d06847d282fce09cc56bc9293

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 c694bee70ece3b232df4678448fdda245fd3b1bb4ba481fb6cd20e13bb784c46
MD5 eaa979651544c545a93f956e977452a3
BLAKE2b-256 b7a0442111412ba101b6aa984f06d28fa1efdb582f4e95bdf9466fc9d12654ad

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 cd316dbcc74c76266ba94eb021b0cc090b97cca122f50bd7a845f587ff4bf03f
MD5 75e62bcd1acab84128739b46828548ba
BLAKE2b-256 f7128d0ee07fd7428540af53596c7d01cd6c9c1eb739b9dc9b7018f66bcd36c2

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-none-win32.whl.

File metadata

  • Download URL: rpds_py-0.12.0-cp39-none-win32.whl
  • Upload date:
  • Size: 178.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.3.1

File hashes

Hashes for rpds_py-0.12.0-cp39-none-win32.whl
Algorithm Hash digest
SHA256 b92aafcfab3d41580d54aca35a8057341f1cfc7c9af9e8bdfc652f83a20ced31
MD5 f8402f82dacdf455d8ce001e6f702b8e
BLAKE2b-256 ef26822c70577ac8faaf7fba89fd2ec479fbf91d8d22d57bde73a4b5ba1dfb08

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 a54917b7e9cd3a67e429a630e237a90b096e0ba18897bfb99ee8bd1068a5fea0
MD5 754b0c8b21eda53451c2957b1b431a76
BLAKE2b-256 e4d5ddc9a1e1124130930add7b75b538be44ff1b0ebb88030c55bfda61bcd9f4

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 25740fb56e8bd37692ed380e15ec734be44d7c71974d8993f452b4527814601e
MD5 fbb81eecca4c75e3ef9a62244c308cc1
BLAKE2b-256 4126b69a596cdede0cbec19319a262f9df1481280952a8c39f2217ef79a07cbd

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 240687b5be0f91fbde4936a329c9b7589d9259742766f74de575e1b2046575e4
MD5 7e1acd912fea6b9618e96bdce3bf9ac2
BLAKE2b-256 248db604705b4bf2ab17bd51329368e42945796e1afbe49a8456825535020a84

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6f5dcb658d597410bb7c967c1d24eaf9377b0d621358cbe9d2ff804e5dd12e81
MD5 0e48506f75c1cacac8a2c0034afc38ba
BLAKE2b-256 87d3da07d3b03704379445d30bcaea7574139ebfa6ed8dd7d8e4b0f64eea1d74

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f62581d7e884dd01ee1707b7c21148f61f2febb7de092ae2f108743fcbef5985
MD5 c6da024e2e7c7281234db4f260c4457e
BLAKE2b-256 1e430946d7790ca00924e890dcbef99ff51524266b983ef6b93a2cb32a76ea43

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4eb74d44776b0fb0782560ea84d986dffec8ddd94947f383eba2284b0f32e35e
MD5 c2cda686c951144fe8fe632aee52694b
BLAKE2b-256 32a62141fc6cfed9c38b804483d7837a61e748f3794805cfbf786031c5c5cdc1

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 88857060b690a57d2ea8569bca58758143c8faa4639fb17d745ce60ff84c867e
MD5 9da4775ee9ef8ca07515d8146689f409
BLAKE2b-256 2b01a4bd49cec18892636e297c9bb99559d9702c20addecfc81a657c961f061f

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7979d90ee2190d000129598c2b0c82f13053dba432b94e45e68253b09bb1f0f6
MD5 9ce01381990c060a88604370f786cd4d
BLAKE2b-256 518c37727de544672a82f17dd89ca7fceb986c088b4ba755fec76fb67c0646fc

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9bf9acce44e967a5103fcd820fc7580c7b0ab8583eec4e2051aec560f7b31a63
MD5 fb1dcd885995bbb680614a534b40e10a
BLAKE2b-256 a5d8bf531ecb0e94e1c97dddba30ef9c4732468ce326e5322395d8cecc2a5bfe

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 48aa98987d54a46e13e6954880056c204700c65616af4395d1f0639eba11764b
MD5 c9ba15cf3cdb33a51dbeb8484560717f
BLAKE2b-256 8c7575d6a34d5fe7a2ce0d1b1bd78fbae8fc7edc0e1b252c8705fa67401ef906

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 1096ca0bf2d3426cbe79d4ccc91dc5aaa73629b08ea2d8467375fad8447ce11a
MD5 6d9d328868d7aa4d0fbd677bfba3273a
BLAKE2b-256 d9735f517eb5e1e146419aa3193ca298869964872371f44d48a1f75fc10f9cab

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 bec29b801b4adbf388314c0d050e851d53762ab424af22657021ce4b6eb41543
MD5 69195cdd346e96f1faf4f9ab32e614c4
BLAKE2b-256 5be5299a97446678b8b2592b58881e7aa7382dff1fd7af2d29d75fb9fd6ad5db

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-none-win32.whl.

File metadata

  • Download URL: rpds_py-0.12.0-cp38-none-win32.whl
  • Upload date:
  • Size: 177.8 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.3.1

File hashes

Hashes for rpds_py-0.12.0-cp38-none-win32.whl
Algorithm Hash digest
SHA256 e5bbe011a2cea9060fef1bb3d668a2fd8432b8888e6d92e74c9c794d3c101595
MD5 9963e794575d5811f39a419972fa8453
BLAKE2b-256 7b7c2b306a44217a3cb65208d94ed869bb5f2f677f1daabab274b54aca2a8688

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3b7a64d43e2a1fa2dd46b678e00cabd9a49ebb123b339ce799204c44a593ae1c
MD5 aaa9f0b6baa07786ba6b07d347f3f870
BLAKE2b-256 206ba7492000ee6ed176fef53964a5b1e6b2e8bbd9376c49fb59fc06e2b813d2

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 b6b0e17d39d21698185097652c611f9cf30f7c56ccec189789920e3e7f1cee56
MD5 91bb3e732101886a7e77a71643d3c749
BLAKE2b-256 3b2dfa03a1f85a309b74d2073b14a243d43c7d80f757a79840ffb946d599fc86

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 0c5441b7626c29dbd54a3f6f3713ec8e956b009f419ffdaaa3c80eaf98ddb523
MD5 2d6fa1f5abcc98318bec2543db5dc239
BLAKE2b-256 4b3f98aa79df3a56b7274cc955d5ae30987145cb38df14ae27f99100b09a64fd

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 429349a510da82c85431f0f3e66212d83efe9fd2850f50f339341b6532c62fe4
MD5 8d0094efaf184f0f9da6533546404c45
BLAKE2b-256 26d3555129602876c1fcdbc6e520674d0d14fb9e9c2b540883cf33775b197c3e

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3acadbab8b59f63b87b518e09c4c64b142e7286b9ca7a208107d6f9f4c393c5c
MD5 932fe49788ebce8f107658946631512e
BLAKE2b-256 df464e7b402b4d4112c38f2ed0e9a2602c59a0cc57c2182661dc8bc7513d8494

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 91bd2b7cf0f4d252eec8b7046fa6a43cee17e8acdfc00eaa8b3dbf2f9a59d061
MD5 d8544d0fb0c28fd2e9c189d64fe3ed9e
BLAKE2b-256 f4c4e12ec8e8f3802d517ca4f58b46236751bad0a41cc3501a21c6cbfd23ff96

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 aa32205358a76bf578854bf31698a86dc8b2cb591fd1d79a833283f4a403f04b
MD5 aa60cb5c4239a97b055b67cde42dc5c1
BLAKE2b-256 6c3d240b43b4f8abe0b9afe2844322b661dee5f9f82945b1a74d21c36d5d4829

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f45321224144c25a62052035ce96cbcf264667bcb0d81823b1bbc22c4addd194
MD5 b6e2c610c6fdc711c4bad6636fd3fdfa
BLAKE2b-256 5a7ad282dc1b64776fab331233fde082ab1406b5300c32c37f833af633c6e4cc

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 05942656cb2cb4989cd50ced52df16be94d344eae5097e8583966a1d27da73a5
MD5 73050dfed4f273209ce409205ca2ecdd
BLAKE2b-256 395cd2d680bcbaec766598bed422146d8fbbe237c223e226db4cfd52d88e74c3

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a689e1ded7137552bea36305a7a16ad2b40be511740b80748d3140614993db98
MD5 4d5cd75c8b59eaa6f863f4deafb1be0b
BLAKE2b-256 bc64eff082b60f38a763f533318eb991e9b645a2451321da4fa1e68e025194f3

See more details on using hashes here.

File details

Details for the file rpds_py-0.12.0-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for rpds_py-0.12.0-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 6174d6ad6b58a6bcf67afbbf1723420a53d06c4b89f4c50763d6fa0a6ac9afd2
MD5 726aa92fc48aa2c430ce4a7eacc2f361
BLAKE2b-256 cd14e74864b8bc7232928df18af99f3e9722133f38e3d49b9c4ee254a73db4a7

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