rapid fuzzy string matching

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Max Bachmann
  • Requires: Python >=2.7
Classifiers

Project description

RapidFuzz

Rapid fuzzy string matching in Python and C++ using the Levenshtein Distance

Continous Integration PyPI package version Conda Version Python versions
Gitter chat Documentation GitHub license

Description • Installation • Usage • License

Description

RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy. However there are two aspects that set RapidFuzz apart from FuzzyWuzzy:

  1. It is MIT licensed so it can be used whichever License you might want to choose for your project, while you're forced to adopt the GPL license when using FuzzyWuzzy
  2. It is mostly written in C++ and on top of this comes with a lot of Algorithmic improvements to make string matching even faster, while still providing the same results. More details on these performance improvements in form of benchmarks can be found here

Requirements

Installation

There are several ways to install RapidFuzz, the recommended methods are to either use pip(the Python package manager) or conda (an open-source, cross-platform, package manager)

with pip

RapidFuzz can be installed with pip the following way:

pip install rapidfuzz

There are pre-built binaries (wheels) of RapidFuzz for MacOS (10.9 and later), Linux x86_64 and Windows. Wheels for armv6l (Raspberry Pi Zero) and armv7l (Raspberry Pi) are available on piwheels.

:heavy_multiplication_x:   failure "ImportError: DLL load failed"

If you run into this error on Windows the reason is most likely, that the Visual C++ 2019 redistributable is not installed, which is required to find C++ Libraries (The C++ 2019 version includes the 2015, 2017 and 2019 version).

with conda

RapidFuzz can be installed with conda:

conda install -c conda-forge rapidfuzz

from git

RapidFuzz can be installed directly from the source distribution by cloning the repository. This requires a C++14 capable compiler.

git clone https://github.com/maxbachmann/rapidfuzz.git
cd rapidfuzz
pip install .

Usage

Some simple functions are shown below. A complete documentation of all functions can be found here.

Scorers

Scorers in RapidFuzz can be found in the modules fuzz and string_metric.

Simple Ratio

> fuzz.ratio("this is a test", "this is a test!")
96.55171966552734

Partial Ratio

> fuzz.partial_ratio("this is a test", "this is a test!")
100.0

Token Sort Ratio

> fuzz.ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
90.90908813476562
> fuzz.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
100.0

Token Set Ratio

> fuzz.token_sort_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
83.8709716796875
> fuzz.token_set_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
100.0

Process

The process module makes it compare strings to lists of strings. This is generally more performant than using the scorers directly from Python. Here are some examples on the usage of processors in RapidFuzz:

> from rapidfuzz import process, fuzz
> choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"]
> process.extract("new york jets", choices, scorer=fuzz.WRatio, limit=2)
[('New York Jets', 100, 1), ('New York Giants', 78.57142639160156, 2)]
> process.extractOne("cowboys", choices, scorer=fuzz.WRatio)
("Dallas Cowboys", 90, 3)

The full documentation of processors can be found here

Benchmark

The following benchmark gives a quick performance comparision between RapidFuzz and FuzzyWuzzy. More detailed benchmarks for the string metrics can be found in the documentation. For this simple comparision I generated a list of 10.000 strings with length 10, that is compared to a sample of 100 elements from this list:

words = [
  ''.join(random.choice(string.ascii_letters + string.digits) for _ in range(10))
  for _ in range(10_000)
]
samples = words[::len(words) // 100]

The first benchmark compares the performance of the scorers in FuzzyWuzzy and RapidFuzz when they are used directly from Python in the following way:

for sample in samples:
  for word in words:
    scorer(sample, word)

The following graph shows how many elements are processed per second with each of the scorers. There are big performance differences between the different scorers. However each of the scorers is faster in RapidFuzz

scorer Benchmark

The second benchmark compares the performance when the scorers are used in combination with extractOne in the following way:

for sample in samples:
  extractOne(sample, word, scorer=scorer)

The following graph shows how many elements are processed per second with each of the scorers. In RapidFuzz the usage of scorers through processors like extractOne is a lot faster than directly using it. Thats why they should be used whenever possible.

extractOne Benchmark

License

RapidFuzz is licensed under the MIT license since I believe that everyone should be able to use it without being forced to adopt the GPL license. Thats why the library is based on an older version of fuzzywuzzy that was MIT licensed as well. This old version of fuzzywuzzy can be found here.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Max Bachmann
  • Requires: Python >=2.7
Classifiers

Release history Release notifications | RSS feed

3.10.1

3.10.0

3.9.7

3.9.6

3.9.5

3.9.4

3.9.3

3.9.2

3.9.1

3.9.0

3.8.1

3.8.0

3.7.0

3.6.2

3.6.1

3.6.0

3.5.2

3.5.1

3.4.0

3.3.1

3.3.0

3.2.0

3.1.2

3.1.1

3.1.0

3.0.0

2.15.2

2.15.1

2.15.0

2.14.0

2.13.7

2.13.6

2.13.5

2.13.4

2.13.3

2.13.2

2.13.1

2.13.0

2.12.0

2.11.1

2.11.0

2.10.3

2.10.2

2.10.1

2.10.0

2.9.0

2.8.0

2.7.0

2.6.1

2.6.0

2.5.0

2.4.3

2.4.2

2.4.1

2.3.0

2.2.0

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.9.1

1.9.0

1.8.3

1.8.2

1.8.1

1.8.0

1.7.1

1.7.0

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.1

1.4.0

1.3.3

1.3.2

1.3.1

1.3.0

This version

1.2.1

1.2.0

1.1.2

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0

0.14.2

0.14.1

0.14.0

0.13.4

0.13.3

0.13.2

0.13.1

0.13.0

0.12.5

0.12.4

0.12.3

0.12.2

0.12.1

0.12.0

0.11.3

0.11.2

0.11.1

0.11.0

0.10.0

0.9.1

0.9.0

0.8.2

0.8.1

0.8.0

0.7.12

0.7.11

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.0

0.3.0

0.2.2

0.2.1

0.2.0

0.1.1

0.1.0

0.0.8

0.0.7

0.0.6

Download files

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

Source Distribution

rapidfuzz-1.2.1.tar.gz (265.7 kB view details)

Uploaded Source

Built Distributions

rapidfuzz-1.2.1-pp37-pypy37_pp73-win32.whl (300.6 kB view details)

Uploaded PyPy Windows x86

rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux2010_x86_64.whl (651.0 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux1_x86_64.whl (651.0 kB view details)

Uploaded PyPy

rapidfuzz-1.2.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (474.7 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-1.2.1-pp36-pypy36_pp73-win32.whl (300.5 kB view details)

Uploaded PyPy Windows x86

rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl (651.0 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux1_x86_64.whl (651.0 kB view details)

Uploaded PyPy

rapidfuzz-1.2.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl (474.7 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-1.2.1-pp27-pypy_73-win32.whl (253.3 kB view details)

Uploaded PyPy Windows x86

rapidfuzz-1.2.1-pp27-pypy_73-manylinux2010_x86_64.whl (533.6 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-pp27-pypy_73-macosx_10_9_x86_64.whl (370.5 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-1.2.1-cp39-cp39-win_amd64.whl (396.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

rapidfuzz-1.2.1-cp39-cp39-win32.whl (309.1 kB view details)

Uploaded CPython 3.9 Windows x86

rapidfuzz-1.2.1-cp39-cp39-manylinux2010_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-cp39-cp39-manylinux2010_i686.whl (5.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686

rapidfuzz-1.2.1-cp39-cp39-manylinux1_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.9

rapidfuzz-1.2.1-cp39-cp39-manylinux1_i686.whl (5.7 MB view details)

Uploaded CPython 3.9

rapidfuzz-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl (542.3 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

rapidfuzz-1.2.1-cp38-cp38-win_amd64.whl (397.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

rapidfuzz-1.2.1-cp38-cp38-win32.whl (309.3 kB view details)

Uploaded CPython 3.8 Windows x86

rapidfuzz-1.2.1-cp38-cp38-manylinux2010_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-cp38-cp38-manylinux2010_i686.whl (5.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

rapidfuzz-1.2.1-cp38-cp38-manylinux1_x86_64.whl (5.9 MB view details)

Uploaded CPython 3.8

rapidfuzz-1.2.1-cp38-cp38-manylinux1_i686.whl (5.7 MB view details)

Uploaded CPython 3.8

rapidfuzz-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl (541.3 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

rapidfuzz-1.2.1-cp37-cp37m-win_amd64.whl (394.4 kB view details)

Uploaded CPython 3.7m Windows x86-64

rapidfuzz-1.2.1-cp37-cp37m-win32.whl (307.8 kB view details)

Uploaded CPython 3.7m Windows x86

rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_i686.whl (5.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

rapidfuzz-1.2.1-cp37-cp37m-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.7m

rapidfuzz-1.2.1-cp37-cp37m-manylinux1_i686.whl (5.6 MB view details)

Uploaded CPython 3.7m

rapidfuzz-1.2.1-cp37-cp37m-macosx_10_9_x86_64.whl (537.7 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

rapidfuzz-1.2.1-cp36-cp36m-win_amd64.whl (394.5 kB view details)

Uploaded CPython 3.6m Windows x86-64

rapidfuzz-1.2.1-cp36-cp36m-win32.whl (307.6 kB view details)

Uploaded CPython 3.6m Windows x86

rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_i686.whl (5.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

rapidfuzz-1.2.1-cp36-cp36m-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.6m

rapidfuzz-1.2.1-cp36-cp36m-manylinux1_i686.whl (5.6 MB view details)

Uploaded CPython 3.6m

rapidfuzz-1.2.1-cp36-cp36m-macosx_10_9_x86_64.whl (539.4 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

rapidfuzz-1.2.1-cp35-cp35m-win_amd64.whl (391.8 kB view details)

Uploaded CPython 3.5m Windows x86-64

rapidfuzz-1.2.1-cp35-cp35m-win32.whl (305.3 kB view details)

Uploaded CPython 3.5m Windows x86

rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_i686.whl (5.6 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

rapidfuzz-1.2.1-cp35-cp35m-manylinux1_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.5m

rapidfuzz-1.2.1-cp35-cp35m-manylinux1_i686.whl (5.6 MB view details)

Uploaded CPython 3.5m

rapidfuzz-1.2.1-cp35-cp35m-macosx_10_9_x86_64.whl (523.5 kB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_x86_64.whl (3.5 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_i686.whl (3.3 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ i686

rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_x86_64.whl (3.5 MB view details)

Uploaded CPython 2.7mu

rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_i686.whl (3.3 MB view details)

Uploaded CPython 2.7mu

rapidfuzz-1.2.1-cp27-cp27m-win_amd64.whl (310.8 kB view details)

Uploaded CPython 2.7m Windows x86-64

rapidfuzz-1.2.1-cp27-cp27m-win32.whl (259.0 kB view details)

Uploaded CPython 2.7m Windows x86

rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_x86_64.whl (3.5 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_i686.whl (3.3 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ i686

rapidfuzz-1.2.1-cp27-cp27m-manylinux1_x86_64.whl (3.5 MB view details)

Uploaded CPython 2.7m

rapidfuzz-1.2.1-cp27-cp27m-manylinux1_i686.whl (3.3 MB view details)

Uploaded CPython 2.7m

rapidfuzz-1.2.1-cp27-cp27m-macosx_10_9_x86_64.whl (411.5 kB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file rapidfuzz-1.2.1.tar.gz.

File metadata

  • Download URL: rapidfuzz-1.2.1.tar.gz
  • Upload date:
  • Size: 265.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1.tar.gz
Algorithm Hash digest
SHA256 e479212f8f6eaf6bbc9ac5418320a49ae09ad942d3bd437b9db7e0a37c56f819
MD5 0fe52fcecb775976795a8111f83b4923
BLAKE2b-256 aafd7f8de2dab0edc915e2e5ac2876e8f61ea1aa7df7ec58332f635aa20fa04f

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp37-pypy37_pp73-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp37-pypy37_pp73-win32.whl
  • Upload date:
  • Size: 300.6 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp37-pypy37_pp73-win32.whl
Algorithm Hash digest
SHA256 ec3b3e49791bfdfc8b71cbece63b9a0f2b25b960c950747dc18e48c2b698f78e
MD5 fe959f1d2baf5ea9d3374a9ed4892f11
BLAKE2b-256 be707793c54b7ae9502e47afef9f8084266acdfc061f5a0d5b2c4311eb126d96

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 651.0 kB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 da32c521aa4c47d291ddcedad5301997127d8ffaf4126cb235e5891ecccf4752
MD5 498eca4b3948bc680b3195dfda7c8e6c
BLAKE2b-256 c840602137df06c35683c3721294ccf103a515472bb1e284f934dfedb7c10ea8

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux1_x86_64.whl
  • Upload date:
  • Size: 651.0 kB
  • Tags: PyPy
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp37-pypy37_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 dc1fa130ce23c657333ba4eb2e3e59d35a0c1714d93b199400f464f473bf9958
MD5 bf609764a2a327a0f164e21ee6079c34
BLAKE2b-256 be93c9f927b714e699eb906d7b480c9099d7894a8cfa6a243ed3defb50a22218

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 474.7 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bd689e852b52a4deae20dabc20997c91ac5fde7dca73c3ae464fd4046443970e
MD5 9065ca166d0cff50597360de4670e7cd
BLAKE2b-256 5e688b36487fbdbe33b98c1a5780f6d4a7ac341c1768e3f4b53972efa54bf28f

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp36-pypy36_pp73-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp36-pypy36_pp73-win32.whl
  • Upload date:
  • Size: 300.5 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp36-pypy36_pp73-win32.whl
Algorithm Hash digest
SHA256 19059b44be14a78359b7d955b26078b238b92f8c63e2c0a5e6abfde2823f32d1
MD5 87ffe6da22111b97734ad71634c3cc5f
BLAKE2b-256 cde36ed8c92800760e41a4653ff850a9d52708288f3d05d37bb026393db1cf73

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 651.0 kB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 12ef8d6f7152815d38e270d029ee5de781e37f91b0dc27ba45afddd33a3dacd4
MD5 4dc66c10e00e7c615fb4405fb3bc3beb
BLAKE2b-256 5d6c5242805e1a60a042f39505c349f76c5c8178790cee92e8b26fb1f4c0f6b5

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux1_x86_64.whl
  • Upload date:
  • Size: 651.0 kB
  • Tags: PyPy
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp36-pypy36_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d5cc171ed54fc8d7eb24abc5e61c4a0c7e74e316677a0e092cf1cb4646df929c
MD5 0cd2100c78ccfd91f82e101abecd3489
BLAKE2b-256 8f7ed132103da953ea25a5c8b9f02ea50be0b2b4442af12c52e8f10564cc0ba6

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 474.7 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0060946f2d39ff0c43849cea181efaa750935dfb779d5d7216c843bda27b543f
MD5 9b0c1d6b022633ac12a1a1b187bb14a6
BLAKE2b-256 9957b0999701aa5b5e71e71b592790e61947e76560e8b186c37e132e0aa77f10

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp27-pypy_73-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp27-pypy_73-win32.whl
  • Upload date:
  • Size: 253.3 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp27-pypy_73-win32.whl
Algorithm Hash digest
SHA256 a4e688fca51936962ef7217bb811501019bd1c6012898b8097e2bff0a91a2a56
MD5 8be81a44f6d082c49f88310a0927631d
BLAKE2b-256 f538c166463709511e37467efb8a87d1e9184ffb90fd8b79941bf62fafd90665

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp27-pypy_73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp27-pypy_73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 533.6 kB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp27-pypy_73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 597ad46358034d0786bbfba1139fa10d3e91a6779e6e75133751a43fe4431304
MD5 e65d38f2eb5a915f48f82af1676c5e49
BLAKE2b-256 4b236a862bd3e754abcc71f17704e0444d03ad80099961be3302c408936c7b96

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-pp27-pypy_73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-pp27-pypy_73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 370.5 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-pp27-pypy_73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 21a5ac116dbc8760333f52118e0f37b6fecaaed82311a5098d45f0e9d8c81f94
MD5 5be56afc91d37afbf5965441624bd186
BLAKE2b-256 93aa528a1f848a9884946bca2038d745089da4151de01c09ce4272ea1dfd98b3

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 396.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 64ee48bd20dbb787b5f71b4c5d2c70a622ace0d38067a5a74f5f362ff212e42c
MD5 ed5ce5becfffc1d552cd00cfd318ca2b
BLAKE2b-256 318f7f2b1c5d4b9a2908bdfe385c289841b4236f3c856ea93ac22224754bbe8d

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 309.1 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 17037ae5719712c8f73fd4a65686b80cfe05deabb9504e5ca7afe77dcdb389dd
MD5 cd96d669d68e2a38e61275e9ae156e1b
BLAKE2b-256 11c737a9d1712274f97937aacfb48c6b26dd7f58d79a49f566809d7b052ed355

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp39-cp39-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 30db409ee47c17d4c98de6bc4da3292c7d70894644fdfb2fed76cd8e280c9a6b
MD5 a24ccddfd0529f1066fccee3d686442c
BLAKE2b-256 67173652e2a3790165b39f07628d9a317336d61555d9ca20b4c79036adc59617

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp39-cp39-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp39-cp39-manylinux2010_i686.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp39-cp39-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 8a0b1bf371e6dabc972e790fd0ef47a392e3605cfa355280ac15ee3eef3b0ede
MD5 415bfa6fb3a01767e3f69753b10907ec
BLAKE2b-256 b8fb158d5f3301c104e55a97c76ac0ac003e0b3722123fc6d18444c9d7330cca

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6ab9df36090447bbc847ee7e2c63a2937dcbdd13ea343df12a8fcc4e2ac0d740
MD5 7553daef6dc51be3a541aa2139485e91
BLAKE2b-256 245e694aaef814ed589ba29a41c7a231890129b7dd4a80d030faeb9d27d17bc8

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp39-cp39-manylinux1_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp39-cp39-manylinux1_i686.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp39-cp39-manylinux1_i686.whl
Algorithm Hash digest
SHA256 7464088b73510977fd54fb6edbd8376f8c95b1fdddc392878ff6016e69efc573
MD5 9a265ad01783ce045174d1e7af4a9476
BLAKE2b-256 4dfb699d9606ca807806e4b94438cbdf0b19b9383bae1d8ce45b0fec3b7a8a92

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 542.3 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d96278cef5de6ad6f5c85115a9f62d128a3e62c22fa0a2745a78e23136b135c2
MD5 fae9b33f32e03adb8f0594c7f6396590
BLAKE2b-256 acc96f692a7c7da87096213c6cde7653e96ae9cbea81431c7a682bdc0ece9d35

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 397.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 6e04685b421b0966c9e55de0a0c2d87c0f43d24fb6b52629291df60bb7f79b10
MD5 dfdb634f965843b3d3d9a09317588221
BLAKE2b-256 4b8c473b7a2a7776fc8db6a9f84709335e74c9f1ab2043bf6e30cdac09aa843f

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 309.3 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 7a60c27ab966aac9ccae40fbcac2bc1782de26bdc3651bf9a7890ac4345180e5
MD5 4df1314b4554f6002768487a87907c15
BLAKE2b-256 f273c93c6d6dc03d172444fe59064271bf240eee40c8cf2631ea3233c54b4495

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ad3adfd11adc9c43917936794d54d1012cba66bfa093c0bc2653de21a5788101
MD5 056fc65eb8d3b7b4a02778de2e580af3
BLAKE2b-256 c595474d9f5b8e10cac67b40845191cc69c442ef80d7a2b137a7d658d2bc61bf

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp38-cp38-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp38-cp38-manylinux2010_i686.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp38-cp38-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 24cc98bfb0dfab34ee6967c1f2b98db8c9a6d33fe408d24120ba28141d35c6cc
MD5 ee06e2068cc4ef6dba09cbd93f258491
BLAKE2b-256 c59504c82387c5ca09cff82624dd87405b5436bf6924ae50dba30af2ae567e54

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ac1e48fb1b94c6c43515ac5f265af972fee8151bfb7acd72fe5c546d191db374
MD5 d3d6a6a6ebd19452bd034a4ef5e673c7
BLAKE2b-256 8caa9d58aea7b73c9a13942a6a921784b0862938321b92a3918f63993c45cc11

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp38-cp38-manylinux1_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp38-cp38-manylinux1_i686.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 08e903e8bc995eaa406980ece7e4fc732546b6190c2c6b0fd2eaea44a147c6cc
MD5 ed04acfda7569ae86bea68b8410f4e86
BLAKE2b-256 122a3691b26ae9df9dc16d3dd62856c4d69336676f9489d3d38c32f793ee7e63

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 541.3 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e9bf61eadf206504bab0315e589c3e481f899a212819f63316e5708c46cc78c2
MD5 3be23c9bb3606bf056ac794ada3d86f2
BLAKE2b-256 5e3b68603a8f846480dad6c555973a53fb36c1c3f0acf4833109e8660ce7e7fc

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 394.4 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e24700f9de6899395ed7f4e69c7c332e7120487dfc0673502b2b72cba97aa947
MD5 f9e0133165dd9fa9f676bcd9706e0e06
BLAKE2b-256 bc309d9b11f9faacf39fc89a84e5527262cad0bf5ade7e9091497f9abaa980bb

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 307.8 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 b3f9fcc8156f7309a74d17b81caa4b19e40c4986e42996e2ad070c49c0382913
MD5 f4b35bc26152120b03da0f24e45f6916
BLAKE2b-256 5707a186221d2516e5b2d94596703f2c3d20050add8734d72b65d0e74e03434a

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d2dd24ccd81537b15dadd6493cc5f4d2b5f9577f163768ce9eaab1bd2416c617
MD5 57ab3af3eeda54187706d5bbb852854c
BLAKE2b-256 1f6ca0dff39e34ebbf8e2c60461a980ad0e6ad74f35badf639541f6e6ce46dcb

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_i686.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp37-cp37m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 7c577d167514d49822380b97cd902edd1525f30a05253bd3c4523144b47c50cf
MD5 78d2671cbf06f1a8b882f0a4247b2d92
BLAKE2b-256 5ae24b0aa0e189bdd87e6255305ffe970c0ac5bcaf30485113cf0a9c8cec8fe4

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 753e4274f93c5c06a08dfd1e4a4993ef41f5e8175398964afec37b950cf666fe
MD5 5c241f1869756931eb84b786d9fdb2aa
BLAKE2b-256 51d090ae48aae2290e4b42981c942a3a94aed16eeea5a9d7df9d6263c08207c7

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 8e7d4638e6acff9a3acfe8907d52fe8f05ef9663b93abc9168c3354ca3bd03ce
MD5 b0ec0a7aa9ee8d8f209739802c3b10d5
BLAKE2b-256 282061e51b75ed0e8cf942571aeb972a933490f218c258486b4403e9c82f74f2

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 537.7 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3acb074c00e46716d7fe510fbbe6e47b4abe06441bbcee78eb5a089d2a7e28b3
MD5 f454afcb7e864434a92e7a4e80a56de8
BLAKE2b-256 8bafc60acb3a85124868993653a6046d01405e2e267fe233ba9d224b04983fb2

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 394.5 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 96730be22c9c1e44a788b2476023ac4f103e3abf4f63153348e430cc5623ea5d
MD5 fe927521de0ba6a5ae1c78ecf2847187
BLAKE2b-256 b7e9b2b09d55c92655b94a23fd3543c43ef2ac3dfa20a95b1448637771270450

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 307.6 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 d1d67322affee993a8f9bfd0f560737fe738aa1afcc76bda3979439a92b60f20
MD5 d392c6854fb64f8f1aea1144e4d7fe95
BLAKE2b-256 78d995cd4c4d37b30ea03d546875dcf42adc3e12ba5c06e7f149b9c80d7cac79

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8401d65889589a8258c54e459440a4b55dd96831bbcda6f8aeca91aa2c448687
MD5 e03df8cd6b349f1da5ed88d80f9c900b
BLAKE2b-256 2b68da1932b139e22806a97ef5fbb6ecfd03afc02910772f1a57207c98f5e666

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_i686.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp36-cp36m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 db42b90720983c47b982ff4d708f5e16c50a3d45fcc1faf3999828e9d6b6022e
MD5 1eed2c2e753a8ef680f054d586854dcd
BLAKE2b-256 4a688648415b8fa1c6c1b658df18cfec7c102a4981fe5d61c02bd5320fcb5ef1

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 639aa7eb1a2a20e9027b79b4ebc5c147f0659206a5770930045abf5e7beea572
MD5 ba119d8b8355614be3e9a93c41046f06
BLAKE2b-256 ede5842edb5466f3deaf730633e0b5c6e5b6c2ccda77cb870f9a1649a4208fc8

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 c86a4667821d907fba99e155cf9612e135110406f1c6d83770bca04801432ead
MD5 11f3a1e506effb698ef3fa48ea691202
BLAKE2b-256 06b2b79d712646c2f058c25f46f7d0f9ea74f7ba9dcbe9df608d2396762568f0

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 539.4 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bb26d9354e85bd069f9bb74690b91626fe28e5dd2e77ec3afcee707fd1f04972
MD5 61e0c924ecc5ea7b401913a4b2c5c71a
BLAKE2b-256 f191396a5ed6a6194d7179360746eb7164cd729874e1214fc6401995dab8aa22

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 391.8 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 75540b8c81f06278b0da66cb079f0c6bc4baf3b7a0443cd67b45e0b55d329231
MD5 91616a68325a6c89d41ca2e24bf9b60a
BLAKE2b-256 3d51f4bbf937414b4c3fb9bc85bcaecadf1559b8f06c60c56e0be53fb769e0b7

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp35-cp35m-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 305.3 kB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 59ec1533d2fbc7fbdac71268b5578f94a945083a669bf5728f99fdddbb3572cb
MD5 64fb6a08a848854e42cad6adc3885715
BLAKE2b-256 d7bb55aabd9f90bb0abc681e824a82af247489e2322e555714297d1e50f7df1e

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2834340f3992c46f9285dc6f14fbe39b9692015127ebbce7d978a5e00e41bc3d
MD5 2829864fe064d26ac9c7f969065c9495
BLAKE2b-256 7d4140e3ab18e44aa17e7af78096d2aed9dbf21b6f5dc89caf681dd444ce5180

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_i686.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 88ceee809357090d2842365856ff07763cc402366dcd9ec4000c430be3a9f6d6
MD5 0c4677698e0e846cb7180025a5eb1c92
BLAKE2b-256 9aa7769da9a711a914db7b392a00da759dd91d69da9701d6216857e21c373873

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 edd1a9d9227c07a70644f7926e51dbcd02cf993b89efa0607e068de6d029f153
MD5 a214ccc3256c11f88073caa43291ba99
BLAKE2b-256 96e5ee7b116730eac4b70b1ec8887e61779bc0436f37dfc88b7b6dc0a6baf981

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp35-cp35m-manylinux1_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp35-cp35m-manylinux1_i686.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 2b167a66a914d50b73c1e4d8d5ca5e9809705b3f6f357adc0f5eaeec4a36a33a
MD5 d126ed6fc9a662b412295e702abf353f
BLAKE2b-256 b90606eb2c0326b5c7ed209df04967665426da11963c4e42e862eff203726dec

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 523.5 kB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 08cce907aa30ae3d278b50c82b4647aa50195cd206237d5f48df9a0a932eb0eb
MD5 4be2cf686f8ed486cd7cf3d372bf6eef
BLAKE2b-256 95cfaa4ea1e3262016e92709faac077b5fbd39c17a6593ecf9de127fc60da736

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 2.7mu, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d09b97c8247c1191d942f064567c683827ea5e779ccd1273dfc97d43e1f9f2a0
MD5 b5d60df9bb7e474e6f9b73bb1aa490ec
BLAKE2b-256 3e942622ed77ecb7b194e7b25c659e81d11c69c9d06571abaa9045f43e17ea26

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_i686.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 2.7mu, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27mu-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 761648722889378ee09b01481eaced525315cb3a8c594b076151383bd10408e8
MD5 328f767126a63cea93096c6a1a742198
BLAKE2b-256 a3a444cf2f56116820598479cb036be8ad6f7e6c1d37ef76b0456aa86429c0f8

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_x86_64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 2.7mu
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a2b3686559cecf4e40ff6909d40dc2069e531d249bfca48d3d936806907c8d6f
MD5 3f5716afb8a600a5188611cbdbe75e33
BLAKE2b-256 ded24069b9ef6201909d8996388b2fbf7a431b5c2eaa804f85bed4afba21abfc

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_i686.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 2.7mu
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27mu-manylinux1_i686.whl
Algorithm Hash digest
SHA256 fbd4d71bcde22878aef88dbab3bb53846b40f6ffa871cce1ac3956dc0464fb21
MD5 721c2fbfe6a33de6e41cc2bea6c09065
BLAKE2b-256 bcf083149c872bb64a4e49265c826f9faffa4d8ea4c033527485dcc7481b2919

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 310.8 kB
  • Tags: CPython 2.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 fc5f44c00080a589f7b286f603bd825f054f8c4b98f5883047043855a5c602b1
MD5 7548def345180a607ed9b3137c4a571e
BLAKE2b-256 92e5f2baedbe8754cfef878f5d48faa6aa5cf520fd4daf1e9a7578c76dcf764a

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27m-win32.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27m-win32.whl
  • Upload date:
  • Size: 259.0 kB
  • Tags: CPython 2.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 d2c14b4dafc42cac5f2bb1cf8b476ca7969cdb317f63cad9b23a77cc33c3b3b0
MD5 2c169ca608894497ac3826cd1a682000
BLAKE2b-256 4f241652044c3e3e578a09643ec3bceb7151a0fdbd8f59539be3df8de1c7fc25

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 2.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 092ad4fb8ab1a89cee72fa4b25957dc472c2115b3fdac1b6876fda30a057db63
MD5 6ef3da5314abdf4ec296033fa2dd8e59
BLAKE2b-256 3336a80c492f75962332f3a7538c67661ec127a5dcf3a840d7ba33e67e64534b

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_i686.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 2.7m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 b5058d4b21338b5fac67cb75ae6ba7cf13b6e79601e9df94abff2feba0129b86
MD5 dd3f611bac38d915713ed9775f5b4812
BLAKE2b-256 a1a5d9e848aac06c50fc2f9a6b2d181e8982f6baf37d8214843e0225a94fe795

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 2.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d11ee8c493a94657207c487ad4cd9a77a1f91f935f508c2f5c6a8231e9d8fbfb
MD5 1daf195a35d28973d9f23fc44c0fa725
BLAKE2b-256 803c113db2b9d3578543dc5d993d64487b09f073da28228e3a2d705ffa62c6d2

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27m-manylinux1_i686.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27m-manylinux1_i686.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 2.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 36774b6ad89619298c2d32c402d19b0d47cebc76bee55bb49494af09d88c8f63
MD5 cc3d3779a7205805961d3056d1016755
BLAKE2b-256 6e93e518a3f8c53e397a5208e7bad9d0c16bf681847d044e4aadf00120baf851

See more details on using hashes here.

File details

Details for the file rapidfuzz-1.2.1-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-1.2.1-cp27-cp27m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 411.5 kB
  • Tags: CPython 2.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rapidfuzz-1.2.1-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6271fa24301ad16fb0f4ff4ed0a9652cc10cef05090ebad2cdb80dcb5717f60c
MD5 872890eb30f2bf259b3e4f5fcc3bb732
BLAKE2b-256 c7cdbc73c9b771a2aa26201deb687ac5b12518ab22e8fdcee25ad1646a2bddeb

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