Skip to main content

lightweight wrapper around basic LLVM functionality

Project description

Azure Pipelines Code Climate Coveralls.io Readthedocs.io

A Lightweight LLVM Python Binding for Writing JIT Compilers

llvmlite is a project originally tailored for Numba’s needs, using the following approach:

  • A small C wrapper around the parts of the LLVM C++ API we need that are not already exposed by the LLVM C API.

  • A ctypes Python wrapper around the C API.

  • A pure Python implementation of the subset of the LLVM IR builder that we need for Numba.

Why llvmlite

The old llvmpy binding exposes a lot of LLVM APIs but the mapping of C++-style memory management to Python is error prone. Numba and many JIT compilers do not need a full LLVM API. Only the IR builder, optimizer, and JIT compiler APIs are necessary.

Key Benefits

  • The IR builder is pure Python code and decoupled from LLVM’s frequently-changing C++ APIs.

  • Materializing a LLVM module calls LLVM’s IR parser which provides better error messages than step-by-step IR building through the C++ API (no more segfaults or process aborts).

  • Most of llvmlite uses the LLVM C API which is small but very stable (low maintenance when changing LLVM version).

  • The binding is not a Python C-extension, but a plain DLL accessed using ctypes (no need to wrestle with Python’s compiler requirements and C++ 11 compatibility).

  • The Python binding layer has sane memory management.

  • llvmlite is quite faster than llvmpy’s thanks to a much simpler architeture (the Numba test suite is twice faster than it was).

Compatibility

llvmlite works with Python 3.8 and greater. We attempt to test with the latest Python version, this can be checked by looking at the public CI builds.

As of version 0.41.0, llvmlite requires LLVM 14.x.x on all architectures

Historical compatibility table:

llvmlite versions

compatible LLVM versions

0.41.0 - …

14.x.x

0.40.0 - 0.40.1

11.x.x and 14.x.x (12.x.x and 13.x.x untested but may work)

0.37.0 - 0.39.1

11.x.x

0.34.0 - 0.36.0

10.0.x (9.0.x for aarch64 only)

0.33.0

9.0.x

0.29.0 - 0.32.0

7.0.x, 7.1.x, 8.0.x

0.27.0 - 0.28.0

7.0.x

0.23.0 - 0.26.0

6.0.x

0.21.0 - 0.22.0

5.0.x

0.17.0 - 0.20.0

4.0.x

0.16.0 - 0.17.0

3.9.x

0.13.0 - 0.15.0

3.8.x

0.9.0 - 0.12.1

3.7.x

0.6.0 - 0.8.0

3.6.x

0.1.0 - 0.5.1

3.5.x

Documentation

You’ll find the documentation at http://llvmlite.pydata.org

Pre-built binaries

We recommend you use the binaries provided by the Numba team for the Conda package manager. You can find them in Numba’s anaconda.org channel. For example:

$ conda install --channel=numba llvmlite

(or, simply, the official llvmlite package provided in the Anaconda distribution)

Other build methods

If you don’t want to use our pre-built packages, you can compile and install llvmlite yourself. The documentation will teach you how: http://llvmlite.pydata.org/en/latest/install/index.html

Project details


Download files

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

Source Distribution

llvmlite-0.41.0.tar.gz (146.4 kB view details)

Uploaded Source

Built Distributions

llvmlite-0.41.0-cp311-cp311-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

llvmlite-0.41.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

llvmlite-0.41.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

llvmlite-0.41.0-cp311-cp311-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

llvmlite-0.41.0-cp311-cp311-macosx_10_9_x86_64.whl (31.0 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

llvmlite-0.41.0-cp310-cp310-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

llvmlite-0.41.0-cp310-cp310-win32.whl (23.4 MB view details)

Uploaded CPython 3.10 Windows x86

llvmlite-0.41.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

llvmlite-0.41.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

llvmlite-0.41.0-cp310-cp310-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

llvmlite-0.41.0-cp310-cp310-macosx_10_9_x86_64.whl (31.0 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

llvmlite-0.41.0-cp39-cp39-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

llvmlite-0.41.0-cp39-cp39-win32.whl (23.4 MB view details)

Uploaded CPython 3.9 Windows x86

llvmlite-0.41.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

llvmlite-0.41.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

llvmlite-0.41.0-cp39-cp39-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

llvmlite-0.41.0-cp39-cp39-macosx_10_9_x86_64.whl (31.0 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

llvmlite-0.41.0-cp38-cp38-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

llvmlite-0.41.0-cp38-cp38-win32.whl (23.4 MB view details)

Uploaded CPython 3.8 Windows x86

llvmlite-0.41.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

llvmlite-0.41.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

llvmlite-0.41.0-cp38-cp38-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

llvmlite-0.41.0-cp38-cp38-macosx_10_9_x86_64.whl (31.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file llvmlite-0.41.0.tar.gz.

File metadata

  • Download URL: llvmlite-0.41.0.tar.gz
  • Upload date:
  • Size: 146.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0.tar.gz
Algorithm Hash digest
SHA256 7d41db345d76d2dfa31871178ce0d8e9fd8aa015aa1b7d4dab84b5cb393901e0
MD5 2ec82d5bf4e52512126518891036704d
BLAKE2b-256 9946cd194dacca2704fb13f6d156727ca233c911a6229c0bf1cd4f3af4f56c04

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 28.1 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 21191c6a9fb4a86d71ec72debbaf39db49590a950c8a2a4ac792c41d16b0a61a
MD5 f3a46f4765258cd603d5574503196eff
BLAKE2b-256 143bf9665a46486f70a7cbb6237308e49e18ed42e4763f4e92e92cd37ea67ead

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 70feadac822f8840f2db6cbb662f1b349fe5d375d8ceb9c907f3919e005dc705
MD5 bc2048958b0039c5fb1109d7897bfe46
BLAKE2b-256 68c2b52ea465b79491f905aae8c6d7876d5d6171967d387d3a32c9723e9d45cb

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f7b7022f1e2f652722ddd5697987f1aeaf0c9a64f2ee324e03f6e060b28a1bbd
MD5 d434dd8a80b338c0c7b4510d401febf0
BLAKE2b-256 f6512a8ab7d85ba40f4654a21cfcd2983c6db95b2408285de88acbcfbad7a1d0

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp311-cp311-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 28.8 MB
  • Tags: CPython 3.11, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 741bb2ab7712c4763483189f0684163fb3ac44087c617698c50654c7d7ab6a24
MD5 40ab01f6779eb81d398140510005e9aa
BLAKE2b-256 d43d3f4612c80c1ccfb248df6ff70da33216374b24fc8a17fc84ee0aeab2c900

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp311-cp311-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.0 MB
  • Tags: CPython 3.11, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dabfb1a28d26b8c01228f59aec90a61324203dda6b1465c596d577d6380545e8
MD5 2405da69d06eae0684689f5b57ee416b
BLAKE2b-256 de48ff1ef8b41397522f6651b85efb39339e8cd3ba2a9154731242a751e1f8c6

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 28.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 93ce07a0a6d98ff2fcc34e7d2d315d8d09f6a737539e089f1a8cbe4a3a0313bf
MD5 3156afe2d68aa9eeaab7ec3f4b7f7b53
BLAKE2b-256 8831eabea2883e23472ba17e3ff6bc29e37863c47a2e2fbab8e2dc6ae7b51d68

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 23.4 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 6e477d23afbdddb3dde789d29a771e23bcfa1b12485156370dba9df05d529d94
MD5 f179497e8adc8ddccb00105c164b47a3
BLAKE2b-256 be700d3ef841fbe1ec25d46b3781c16d55a53024af18ba3068d2ce74ada6ff81

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fe265129ecd18957d3653cfb17df1632fa2c57fd0bac1960bc20a8c3ca961197
MD5 05f63347a4092b1887dd1a66d5c9203e
BLAKE2b-256 50df38c9fb5cc64f4fcc0577a14a0665c2a5de74f45a621ac7708320b1ac80c6

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f1b5df30581eb8dbdee0e17a1217debb1d7dcd61a092a09726afff441dad5a67
MD5 2e9eb35b7e8fab774160dae5a3340fb2
BLAKE2b-256 d750811a6973cc78fc1ded64f05248a7bd25b0b4da03e7bfb045e9d533d5bdea

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 28.8 MB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 013000a11df84a8b5e4f7fbf2513896ca48441c527d9ae8e375da92bc5575d08
MD5 59e99a978974f0ae38f13597b0b57c4f
BLAKE2b-256 bcf3ff6a9242408d5f9055b80e0141db85b19f29e69ac2fe54f90b2afcf7ebca

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.0 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 acc81c1279f858e5eab460844cc381e30d6666bc8eea04724b54d4eeb1fd1e54
MD5 cdab0950885b536ffdaa20907717f98e
BLAKE2b-256 f8866ccfede8416d5a32faef1b778767b0d49d8e8e8c63508b02d8ef87a81643

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 28.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f150e127d6bc0e74633b8ba210776b0b6fdc82af6dfebf0794318ea97634acd0
MD5 74c8ff9d8ab0dcc8a55354c486107000
BLAKE2b-256 792650423498efeca0bf422a0f6d7d5795324403595c15069d35824e8a75732e

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 23.4 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 a4af8722ad6cb0dd2d5454ebc5a7bf90867df5f3fcb0787396a3261052caefda
MD5 b1b4f7fc6c0ffdadaa312d2c0b867252
BLAKE2b-256 3a7db5be9865bb5a2a2d5c14fa328d0f6f0ff4c979e40484af8833b9290e3cc4

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 27d9d11c8dcdb8a8e14e92d0be5bba60f15bdf2fc116b8d27cab40221093a1b0
MD5 f797151c35828c330762ff8f57c2f4ef
BLAKE2b-256 0f7af2b4d0ed163197dbc9be054492218b96acef6fffb82bb164e815ef7d781e

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8218d307bd89535207fea1cc1ef5498afcb6d0203153dba214058715fecdb699
MD5 71303d89c6f24162cb4e0f5b90511b5c
BLAKE2b-256 27434409e042727b9af983ae1a161d0f0466ba22216a54f7f182e6f46f380ccc

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 28.8 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 876cd5f53cfe51d3a5cf7952dc1a25bd6158f5795739b1f8159c3591b32ed3cb
MD5 0adab7b79abbf2a23c42d78d8eb7b997
BLAKE2b-256 0c4aeefd4b963e906b7fbbf79879fb9d507588a492a4e244ab9415f251e5376b

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.0 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 24b3f7e258ea7c07ebf9f70c772e25619de8d207192254beb7644b818a97440b
MD5 7f9dd5a416197ceae2e04272aa142237
BLAKE2b-256 78d5eeee5e1ccbeba639eac5ecf2a2ba491a3b9a46e57f69fcf606142367e8f5

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 28.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 6c40e290d930b09bbebe0d05c750b8a9e20af147e8cec8d62aa42e874f46dbfa
MD5 6fe259810754bc0498adbca4fd29a714
BLAKE2b-256 8a1ec91c1b7a7e1c8737a56606cbf195674569e7a2eac9c2aa36345473d2ceaf

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 23.4 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 0c79cb7e88403d6c64385bf1e63797af0884caf1f4afa3c8c4bbef1920e28148
MD5 0b9b11644ad47ba48cbe99083e8a7a4e
BLAKE2b-256 2a004e3482a3c2876af9b55f95aa4f7e37e7e2f3f2220e17ef87fcb08363edab

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 57c0a3fd031936461f9f24f4cace80a86c9ba09d8b02fa87c209607aae2463cb
MD5 cf40b901db4a0bde849e1a4757e30736
BLAKE2b-256 29f41fa929bc7488ae8fa686afb75355d69c9c94a8850184956786495836525f

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.41.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 de31585b867e8d9bae0c15f03e8bf541afcff66ffa5f61e401a738274702bdcd
MD5 bca634f0167bed59dd1aeab65a6da1b5
BLAKE2b-256 374dd917a5f781c2e02e39806857b65448bf5fece2791781b9ed52ff484ab3df

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 28.8 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d8997264291e822689f7d6df4716638f35ff586bef5b8be40e2ba77d6bd9405c
MD5 37112959076709e39176382f0d9f2cdf
BLAKE2b-256 123c550092a0277cc3055fb6b00330bcf9685d57067022951be1f05947c900a1

See more details on using hashes here.

File details

Details for the file llvmlite-0.41.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.41.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.0 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5

File hashes

Hashes for llvmlite-0.41.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0d94e531c763340344198f2c31af6af7b665e9cd2b354e31afa5cf4abfce0a8e
MD5 da29eca9f15111f8540c0aa1e328f894
BLAKE2b-256 4372258b54bbbae1d96abcf79293df58b58e7b9c219d79c6b4e0ec7eee865c5a

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