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 faster than llvmpy thanks to a much simpler architecture (the Numba test suite is twice faster than it was).

Compatibility

llvmlite has been tested with Python 3.9 – 3.12 and is likely to work with greater versions.

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-0.42.0rc1.tar.gz (156.2 kB view details)

Uploaded Source

Built Distributions

llvmlite-0.42.0rc1-cp312-cp312-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.12 Windows x86-64

llvmlite-0.42.0rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

llvmlite-0.42.0rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

llvmlite-0.42.0rc1-cp312-cp312-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

llvmlite-0.42.0rc1-cp312-cp312-macosx_10_9_x86_64.whl (31.1 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

llvmlite-0.42.0rc1-cp311-cp311-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

llvmlite-0.42.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

llvmlite-0.42.0rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

llvmlite-0.42.0rc1-cp311-cp311-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

llvmlite-0.42.0rc1-cp311-cp311-macosx_10_9_x86_64.whl (31.1 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

llvmlite-0.42.0rc1-cp310-cp310-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

llvmlite-0.42.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

llvmlite-0.42.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

llvmlite-0.42.0rc1-cp310-cp310-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

llvmlite-0.42.0rc1-cp310-cp310-macosx_10_9_x86_64.whl (31.1 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

llvmlite-0.42.0rc1-cp39-cp39-win_amd64.whl (28.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

llvmlite-0.42.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

llvmlite-0.42.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (42.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

llvmlite-0.42.0rc1-cp39-cp39-macosx_11_0_arm64.whl (28.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

llvmlite-0.42.0rc1-cp39-cp39-macosx_10_9_x86_64.whl (31.1 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file llvmlite-0.42.0rc1.tar.gz.

File metadata

  • Download URL: llvmlite-0.42.0rc1.tar.gz
  • Upload date:
  • Size: 156.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1.tar.gz
Algorithm Hash digest
SHA256 01a057fc242bbd875cb44b373538c50172e09bf6cf559da12eb48197a7f4b116
MD5 f277ba61ce0e5347ca7c8c59e5e684ff
BLAKE2b-256 fa8252d7d0ed04bf20736e475a88b40f89037c911aa9b61082007976b8dd7739

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 28.1 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 df4068e11ff9c46072df7ace550765efe25deaad8fa75e7429cea57ad8b2d815
MD5 038d4f39cf4b40e1abb184c26f586dba
BLAKE2b-256 6ddbcef7742d26e26312a48069e3cdfcd869f6b998bae537ce347ea8b2d209db

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f59485b2d9db140350366e1566fbfbd378ce34e0c013cb72d432bb8af1a6c889
MD5 02077970da062c62288287d444a766c1
BLAKE2b-256 36b04d273e3332c08966ad1289d0623d2970e46c62a65c1c52a7998b73e3e710

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2fbed1ef1463a7339d917efd144045b6b8e05af840a970d375c8ec42ae383e8d
MD5 fd167cfe7172caa4c4004544f29a5e96
BLAKE2b-256 2af4270fc62fe028f0dbea48a94272f904c12580c4d86ad92d2cb2e61f1b385a

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-cp312-cp312-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 28.8 MB
  • Tags: CPython 3.12, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cfa847d8f0ef9665e3e20270b3ef136cdbcef49d085208ff303a98c2674aef62
MD5 4b91fc5d187dfc76419afca40991eec1
BLAKE2b-256 75fa072887ed477f653328bab86ce828d1fd4c521003ba445c40b82c30b4a73b

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-cp312-cp312-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.1 MB
  • Tags: CPython 3.12, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9920c847d828593626023a5789ad269751667ab006be6e6643a084db35b332a2
MD5 f73f6c3b3752ff7763b07497da00c4a9
BLAKE2b-256 e4f1d53d6ac40768675dc5132075f40cbb4da8f5badf4552003b68925d05d9df

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-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/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 399e98514c54860c46ff722f08b9b0803aa68540d94149f1ac7efe5429068691
MD5 e03843cb8d5def882e64cf4051cf9a9e
BLAKE2b-256 8bb99ddc5937969710907ab50deab2277392a5654753b8612964946ccbb8f107

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a52b4b53842a39e118c1ff536350da9b3869f2dff076cfae1bb76ab702c59188
MD5 9c3c5029084965da7f6945510d45a4d0
BLAKE2b-256 446135a70ed6f05887b31dc62f3a9fc4366f550ad5dd8b1eb7e4cea373167ca4

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8c10c55be06f2cd7f36c5e69aef05cc4463bc30d998eea49ef39579370301244
MD5 6c4eb85dabc0be3b5624fdbb6899346a
BLAKE2b-256 f2f10c028abdc54d50d8ac6a95c7d564296eda2368c17c7e7ef6f484012ce306

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-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/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6ef844e95c5b57d5c569ec5cfc7b440924878134f1a801b3f43e79a91a13cef0
MD5 a1dc98b7ba1a72c62fe69a89e608bf1c
BLAKE2b-256 e8c0b6f96de6cbb4351e32417c06b372b9729773437cab25a17fda1432c52965

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-cp311-cp311-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.1 MB
  • Tags: CPython 3.11, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c318e8145bef02a8ddc34418041f655b3b49fbaf66b996b4a1afca66fe58941b
MD5 8c0c6299424ae430ca486a2e9112d733
BLAKE2b-256 23d1d8eec60a64f041d79acc0c7f2c92946e3a5d78269fdb88f7bfcd340208f4

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-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/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 959f005565092ef4dd6f5bc5fe32ce1aaf97a02b45f34e39df6e2d200779935f
MD5 76ce8ba5aeafc4d150cd1d10add953d4
BLAKE2b-256 2470323d73ef187f465d9cee9eebf1c9d4a3631c3aa4899c174f247e0f35ea54

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 93bd9d9e81ab3d8096eac3ced83b75eaca39fe9ef51fa1a51a993e9408030f33
MD5 d29cf800cc652e7bd8a02db800764534
BLAKE2b-256 6b5faad0736d3897469143e83ea7c04c1ad0df6c119b0d56389f325ab046902e

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c69a2d9f8020f19c5f0455685a83990777c117208275195763f3a9533ac24233
MD5 aae048799c9290a6361ddc152b264160
BLAKE2b-256 712d8614168824f15cef4dc507400099abe4be3ec2395c8ef54b41f4e6828d6c

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-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/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e643e7817cd8c99b9d2d2dfdfa9c147127bc011787cda6f6c462e38af142c8be
MD5 fb24131a024e842c773795f8e62d05e6
BLAKE2b-256 51f71b3fcae19327c5f5118942061f9bcb72d9be0e3d1cc5aba8160d9d4def3b

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.1 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 59ca5d262d23a0aee7ede2eb7fed7f3df6d6b78de79136fe9898ea888ec89e05
MD5 c8ce468ba29081e5ebd63e94fb5200e6
BLAKE2b-256 a1b8872772cd7df42c8902f7db1d9340621ecb97a263168d120290d3e1b0d94f

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-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/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ebb5db67cbc1437dafea2bdb585516d5bb2a52af1b00f0d0ea0890c80503bbf8
MD5 c8014d8468cdbe3cce64989ed5e8d92a
BLAKE2b-256 09c52a688f2dc811d0f07f2a62191ff74094307d66cd4e8cd8e64a47bc01406f

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f8a6584bf556542f6aeb6ee91adb00cbaf78d50f07e0be63e6e5aff21f7cdffd
MD5 d802a2a870b1b441632ab6aa8d230c20
BLAKE2b-256 a9cdf68cb74b3ecaeded8e81598c27871f0914ed43d6a9d0e5eaaf0fc4a9a15c

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.42.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fd46f7b03f172131ee8d33e15da23ca2cfa7c53c9cdef777bf86f4cbba33e20b
MD5 ca512d216a680e2b469102c3663eac03
BLAKE2b-256 69166cdea7139ef7cad3906946e347f0d61f7cec7a7ec27b97f88b7a084435b2

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-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/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 971ff50e4e7f287b796fa527106648808cfd7e4ea34a391b379beb0c58a46b4a
MD5 b5bf8b5e2dde8126bfb6d010d2445e7b
BLAKE2b-256 9fce7885a4ebe63b8bd273df9862c8f6911dca81c57ccc362459d40e392bb0f6

See more details on using hashes here.

File details

Details for the file llvmlite-0.42.0rc1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.42.0rc1-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 31.1 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.9.6 requests/2.31.0 requests-toolbelt/1.0.0 tqdm/4.65.0 CPython/3.9.18

File hashes

Hashes for llvmlite-0.42.0rc1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b3ade537d62a30cda772327fc34f902af42b138e8c9d73b2960c2d4046dfdc39
MD5 8000a02c111b65900af3d79d34852dcf
BLAKE2b-256 9a65990cae5efa46601ff3411de296905d6e1a83826dc6a3c2162372b0b42de3

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