No project description provided

These details have not been verified by PyPI

Project links

Project description

rs-chardet

This is a thin wrapper utilizing chardet-ng for character encoding detection.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.2.2

Jun 12, 2024

0.2.1

Jun 12, 2024

0.1.1

Apr 26, 2023

This version

0.1.0

Apr 22, 2023

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

rs_chardet-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 PyPy manylinux: glibc 2.17+ x86-64

rs_chardet-0.1.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 PyPy manylinux: glibc 2.17+ ARM64

rs_chardet-0.1.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl (397.7 kB view hashes)

Uploaded Apr 22, 2023 PyPy macOS 10.7+ x86-64

rs_chardet-0.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 PyPy manylinux: glibc 2.17+ x86-64

rs_chardet-0.1.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 PyPy manylinux: glibc 2.17+ ARM64

rs_chardet-0.1.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl (397.7 kB view hashes)

Uploaded Apr 22, 2023 PyPy macOS 10.7+ x86-64

rs_chardet-0.1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 PyPy manylinux: glibc 2.17+ x86-64

rs_chardet-0.1.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 PyPy manylinux: glibc 2.17+ ARM64

rs_chardet-0.1.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl (399.9 kB view hashes)

Uploaded Apr 22, 2023 PyPy macOS 10.7+ x86-64

rs_chardet-0.1.0-cp37-none-win_amd64.whl (283.8 kB view hashes)

Uploaded Apr 22, 2023 CPython 3.7 Windows x86-64

rs_chardet-0.1.0-cp37-none-win32.whl (282.1 kB view hashes)

Uploaded Apr 22, 2023 CPython 3.7 Windows x86

rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 CPython 3.7m manylinux: glibc 2.17+ x86-64

rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 CPython 3.7m manylinux: glibc 2.17+ ARMv7l

rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 CPython 3.7m manylinux: glibc 2.17+ ARM64

rs_chardet-0.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.2 MB view hashes)

Uploaded Apr 22, 2023 CPython 3.7m manylinux: glibc 2.5+ i686

rs_chardet-0.1.0-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (795.6 kB view hashes)

Uploaded Apr 22, 2023 CPython 3.7m macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

rs_chardet-0.1.0-cp37-cp37m-macosx_10_7_x86_64.whl (398.1 kB view hashes)

Uploaded Apr 22, 2023 CPython 3.7m macOS 10.7+ x86-64

Hashes for rs_chardet-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for rs_chardet-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`b824f80a1a65cf3f93423c0a9e1f302da75d7902622d6667c72cc3c9fd693fd4`
MD5	`355604997f4ef1cb6931654bc36cba98`
BLAKE2b-256	`5ea0694c0310dbb056d10bf8d42186f8e26adfe971f7036ce796663a65c6f6ee`

Hashes for rs_chardet-0.1.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for rs_chardet-0.1.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`7d6cf4a52d317b8233c2ad856bf2455cd78b91e2cbc6eade4f236317ce3a1c8e`
MD5	`1e0516f13656586514d11e5760bb4ee3`
BLAKE2b-256	`ecf984e4d67955abd0854a5c86b6238d8cef042a775533449100fafb9a847253`

Hashes for rs_chardet-0.1.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl

Hashes for rs_chardet-0.1.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`13ad7f82c5524c78a98be0adf5e090dca9f5ac43f19802620ed427bacd687e3c`
MD5	`9629793158307013afadc71d343bb3de`
BLAKE2b-256	`e80539050d12dd7f0abff1b6dc0a4f5b471a7e5eb0c7c0b1551f6b32ead643d6`

Hashes for rs_chardet-0.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for rs_chardet-0.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2b79c0cb82034e856b1eab2c57ba5174263f89930b27482d9bb798df3af24876`
MD5	`a2c54eab386496df051d1c46723e1e27`
BLAKE2b-256	`0b61ae922d103139117724d71dfbb88913c25e718103b4c9aabbe19ad7e12ada`

Hashes for rs_chardet-0.1.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for rs_chardet-0.1.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`8b0e1c6c801ef8d3e2600191080973e4106673290719d6dde5bfafa772deb164`
MD5	`f2a8eb13ef65d0c124bfc240abdcafee`
BLAKE2b-256	`1a5082f360eb409cc567a5c083c654facefe6cc98d6180e9c56f85e50752c1de`

Hashes for rs_chardet-0.1.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl

Hashes for rs_chardet-0.1.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`fe229982b54d8d71d6382f48ef53a24b346e82ad68e0409d8240358a620fdece`
MD5	`f0caebdfcaf5ebfdcb23bd4222924c74`
BLAKE2b-256	`e5d3247d434f6f52ce7e89d4b8b28453b67ed7606a5d1dfae5a7f7d6d689cb85`

Hashes for rs_chardet-0.1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for rs_chardet-0.1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`459320784d4860639ba52b6ad7a6346cfdadf2c32157b99a8421bf86fa32cc09`
MD5	`9eabae49b90b14d002a378615abbb440`
BLAKE2b-256	`cd3de838b7ac74efbddcc2bdadb7064b67b80a1a4824d03a97cb601625cb6f22`

Hashes for rs_chardet-0.1.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for rs_chardet-0.1.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`334f7e1ff951627c4422ca27cc9ddb4f5e39a511f88d2ea42b768560006438ad`
MD5	`1c890b473198d0034ce1e2834de018bc`
BLAKE2b-256	`ad443fbaa36adb6d1e95bbca0a6312da232c141fd64b975a1ced730eecf33b22`

Hashes for rs_chardet-0.1.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl

Hashes for rs_chardet-0.1.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`3f6cce462e8073bfd29f9ccb4e9bebf1f891681036a27df24b5bf8e0264ade05`
MD5	`90f4f696b923ddb61bd6b8b5cf56d575`
BLAKE2b-256	`88f73e4bbe9ab0a3fbfd34a75a79331ce4d3828fc89b7e362e3028ce43627470`

Hashes for rs_chardet-0.1.0-cp37-none-win_amd64.whl

Hashes for rs_chardet-0.1.0-cp37-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`ab158559f587fe17c753124d2f03b9dee8d28a79073d0b1cf8f55ef69591847e`
MD5	`0138066a6ceb0afea19743df2a8dc25c`
BLAKE2b-256	`4d2708b1ee854196eaa75a76d12022ac3ac7606e02fe51634df5d53b02b7c401`

Hashes for rs_chardet-0.1.0-cp37-none-win32.whl

Hashes for rs_chardet-0.1.0-cp37-none-win32.whl
Algorithm	Hash digest
SHA256	`e500af5e0801dbb74c8773860cb8c4dda71b9c8a55339cc6049b6720f3a84640`
MD5	`8c4010b64f2fd408aa715fcbf499968c`
BLAKE2b-256	`b709ab5f1a6889156ab67ae5a7e57da0a1f64e8bdae7eaeedea026bba65b69a8`

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`25b329e4ec20cd60dd780c4e0b2f87c10dc263ab553ebb062eefc053f76132bc`
MD5	`b32f9ff6846aca344847ed7e120eb8bb`
BLAKE2b-256	`8043536ae420ceffa53e5dc1509331757c0f43bd4b8e2a338f074b1cd38ce527`

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm	Hash digest
SHA256	`bfc1eef54449a1b343ba0e45c4afb53cfac8b99296805f28539da28602c34a6b`
MD5	`561a06f0ccbf0f022aef5d239b168004`
BLAKE2b-256	`7a1fb0993c6a2418e3ed3464aff4aa74c9dea4e34c388b710dcb25026646a110`

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`42ca518ed0b16141706ee2e472628ad67082a0bae0b18b6af353634de06efb8d`
MD5	`9c3c8b457e2bab96fd14009ce1097ee0`
BLAKE2b-256	`2332cc305d100310975d681b3872cc5e4d801ff1fca1cd70bdb4334eabc6a6c0`

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl

Hashes for rs_chardet-0.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`4c1234969996445155d88dae67f767f1aa301c48bfd0ccf3c7c27ee282449a70`
MD5	`25cb28ffeabf6cc3e8b883e27e26da92`
BLAKE2b-256	`6340ee2851ee1fb562c8d512ac4b699505b9baba063ede2e4a609266e3e54910`

Hashes for rs_chardet-0.1.0-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl

Hashes for rs_chardet-0.1.0-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`f8e100b9acefe8c0ef86935dd9f62c4105b62e25ddfe2713a75b111e6dd509dc`
MD5	`87e28dfcdeb6141a44747d345ff63e71`
BLAKE2b-256	`f1b023461c4ec02e34ffda2ce6880b904fc4b0675e6c818a6033c194e88e07d9`

Hashes for rs_chardet-0.1.0-cp37-cp37m-macosx_10_7_x86_64.whl

Hashes for rs_chardet-0.1.0-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`f4c0edea5de3ba71279e8fe4100df375ee4e712c648fc1ae4c64a9678a1ff89b`
MD5	`0ca6fab3925395eb0cffe445c46deb76`
BLAKE2b-256	`c0d6542835846966813c241136d5e8a094b0822d6d5666f9be55110c108d9c19`