Skip to main content

Dictionary-like lookup from NumPy array values to their integer positions

Project description

https://img.shields.io/pypi/pyversions/arraymap.svg https://img.shields.io/pypi/v/arraymap.svg https://img.shields.io/github/actions/workflow/status/static-frame/arraymap/ci.yml?branch=master&label=build&logo=Github

arraymap

The ArrayMap library provides dictionary-like lookup from NumPy array values to their integer positions. The hash table design and C implementation is based on [AutoMap](https://github.com/brandtbucher/automap), with extensive additions for direct support of NumPy arrays.

Code: https://github.com/static-frame/arraymap

Packages: https://pypi.org/project/arraymap

Dependencies

ArrayMap requires the following:

  • Python >= 3.9

  • NumPy >= 1.19.5

What is New in ArrayMap

0.4.0

Now building wheels for Python 3.13.

0.3.0

Now building with NumPy 2.0.

0.2.2

Restored functional wheels for Mac OS x86_64.

0.2.1

Restored functional wheels for Mac OS x86_64.

0.2.0

Now building wheels for 3.12.

Now building functional wheels for Mac OS arm64 / Apple Silicon.

0.1.9

Improvements to PyObject struct layout and other internal refactoring.

0.1.8

Corrected issue when using get_all() and get_any() on FrozenAutoMap backed by numerical arrays with less than 64-bit element size.

0.1.7

Corrected issue when creating a FrozenAutoMap from a datetime64 array that has duplicates.

0.1.6

Implemented get_all() and get_any() for optimized lookup of multiple keys from arrays or lists.

Implemented full support for np.datetime64 arrays.

0.1.5

Improved handling for Unicode elements that contain non-terminal NULL strings.

0.1.4

Corrected comparison in lookup of Unicode elements.

0.1.3

Updated classifiers, install_requires with setuptools.

0.1.2

Corrected segfault resulting from initialization from generators that raise.

0.1.1

Added __version__ to module; releasing wheels.

0.1.0

Initial release with NumPy integration.

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

arraymap-0.4.0.tar.gz (24.8 kB view details)

Uploaded Source

Built Distributions

arraymap-0.4.0-cp313-cp313-win_amd64.whl (23.1 kB view details)

Uploaded CPython 3.13 Windows x86-64

arraymap-0.4.0-cp313-cp313-win32.whl (21.5 kB view details)

Uploaded CPython 3.13 Windows x86

arraymap-0.4.0-cp313-cp313-musllinux_1_2_x86_64.whl (130.1 kB view details)

Uploaded CPython 3.13 musllinux: musl 1.2+ x86-64

arraymap-0.4.0-cp313-cp313-musllinux_1_2_i686.whl (136.5 kB view details)

Uploaded CPython 3.13 musllinux: musl 1.2+ i686

arraymap-0.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (125.7 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

arraymap-0.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (123.5 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

arraymap-0.4.0-cp313-cp313-macosx_11_0_arm64.whl (33.0 kB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

arraymap-0.4.0-cp313-cp313-macosx_10_13_x86_64.whl (36.0 kB view details)

Uploaded CPython 3.13 macOS 10.13+ x86-64

arraymap-0.4.0-cp312-cp312-win_amd64.whl (23.1 kB view details)

Uploaded CPython 3.12 Windows x86-64

arraymap-0.4.0-cp312-cp312-win32.whl (21.5 kB view details)

Uploaded CPython 3.12 Windows x86

arraymap-0.4.0-cp312-cp312-musllinux_1_2_x86_64.whl (131.1 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

arraymap-0.4.0-cp312-cp312-musllinux_1_2_i686.whl (137.3 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ i686

arraymap-0.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (127.6 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

arraymap-0.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (125.4 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

arraymap-0.4.0-cp312-cp312-macosx_11_0_arm64.whl (34.3 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

arraymap-0.4.0-cp312-cp312-macosx_10_13_x86_64.whl (37.2 kB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

arraymap-0.4.0-cp311-cp311-win_amd64.whl (22.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

arraymap-0.4.0-cp311-cp311-win32.whl (21.8 kB view details)

Uploaded CPython 3.11 Windows x86

arraymap-0.4.0-cp311-cp311-musllinux_1_2_x86_64.whl (131.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

arraymap-0.4.0-cp311-cp311-musllinux_1_2_i686.whl (140.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

arraymap-0.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (125.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

arraymap-0.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (127.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

arraymap-0.4.0-cp311-cp311-macosx_11_0_arm64.whl (34.2 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

arraymap-0.4.0-cp311-cp311-macosx_10_9_x86_64.whl (37.1 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

arraymap-0.4.0-cp310-cp310-win_amd64.whl (23.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

arraymap-0.4.0-cp310-cp310-win32.whl (21.8 kB view details)

Uploaded CPython 3.10 Windows x86

arraymap-0.4.0-cp310-cp310-musllinux_1_2_x86_64.whl (128.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

arraymap-0.4.0-cp310-cp310-musllinux_1_2_i686.whl (137.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

arraymap-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (123.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

arraymap-0.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (125.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

arraymap-0.4.0-cp310-cp310-macosx_11_0_arm64.whl (34.2 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

arraymap-0.4.0-cp310-cp310-macosx_10_9_x86_64.whl (37.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

arraymap-0.4.0-cp39-cp39-win_amd64.whl (23.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

arraymap-0.4.0-cp39-cp39-win32.whl (21.8 kB view details)

Uploaded CPython 3.9 Windows x86

arraymap-0.4.0-cp39-cp39-musllinux_1_2_x86_64.whl (126.5 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

arraymap-0.4.0-cp39-cp39-musllinux_1_2_i686.whl (135.9 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

arraymap-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (121.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

arraymap-0.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (123.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

arraymap-0.4.0-cp39-cp39-macosx_11_0_arm64.whl (34.2 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

arraymap-0.4.0-cp39-cp39-macosx_10_9_x86_64.whl (37.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file arraymap-0.4.0.tar.gz.

File metadata

  • Download URL: arraymap-0.4.0.tar.gz
  • Upload date:
  • Size: 24.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0.tar.gz
Algorithm Hash digest
SHA256 af1aa15f9f0c799888326561275052b4ea709b0a3a2ff58d01c55a447f8b1213
MD5 c011fcb2c5c16c9cba29c2036318a757
BLAKE2b-256 6c891d8b77225282b1a37029755ff53f63b1566bab8da1ac0e88f2fb8187c490

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 23.1 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 fee87921a69d02cfe798691221962192bc4fd3fb530b9752003bc44e4b7f3f0b
MD5 031122c21725246bee271eb0582cb463
BLAKE2b-256 8854d50f49e597ed735348df2c8ad6ffb22c667da394cde8adb97ff7bfeeab6b

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-win32.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp313-cp313-win32.whl
  • Upload date:
  • Size: 21.5 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 8f720a8ef1869f42426bf2dece41b5f78ba991db5fea057feb49607865ff6461
MD5 40849fbdcf02de5cd2f00974e7a86761
BLAKE2b-256 f5c4589bb16daa26e170954807435ac886b79d3eed6b46913d27d1554c9f8c4f

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 8a40913d6307a30bb78847beac8dc16152c8060c41bf3a5b61d2f2c3f6831b11
MD5 8f59cd1bbbe5924b53a1b634c5e720f7
BLAKE2b-256 0d7a5ab6e89aeb59cf4d0bb89db75d327c999e840fb938dc9cc050afebb2c332

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 6583ec941fd8a464da4189fe0026b8385986c8dcfac4633b2a78e46b445240ec
MD5 d3bf5871cbaf401ef31e46585a41e32e
BLAKE2b-256 100345cbd024f3fcf09a7b54e22775cbb28c0e331c8d402a37b7b69d0690484b

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7b644b7c6e704778a62d5238b105b6a6c32f3c28fc950d69106c0bf6f80eb41a
MD5 82eba795cfbf953dfac6a29c37c80603
BLAKE2b-256 d60caa3782a960c25309be1741a13482b0a5162b2a5f037315ec6e40ac3d3120

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 aa62fcc868de33c6b80d81b9e17ba63b4cdaa81906c929d64a44ebbbf89c2cb7
MD5 5466a3a62caa172bda6d8ab97214d4dc
BLAKE2b-256 0aa412ca0fc7d539e788165d22bc0d132e77797ca303718a207b75a367b4be1a

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 eb8a5fc9b4a08f0f46ca25648230569229b4d968ba3a3229e56ccf9f45604ca7
MD5 afb5d0370a59fe90cc3094bc3e1704f2
BLAKE2b-256 3535350663a4e6df79fa79b43a665ed089c18d1d451a4d54564feea31aae1fe9

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 610966e7eef5c62ebf64d4ce26f7f53ba0ae24ec54cbe8b3de5f85b2fc2eab8d
MD5 741cc3c88d42376abb39cbdad383134a
BLAKE2b-256 94206886beff6830d3236c570b5e7daa2ea2c2e7cd08748a891e9648c90591aa

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 23.1 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 cd1e1973af51dfd1c0112bd821df73877c14797d9e8458ceba4abc78fd905106
MD5 4fa16c029e82b0d8aec55f13c11dd2f8
BLAKE2b-256 38ab6496bed9cc88c59298c59c1a90a6404d9b45cc4129cc59266f9a34574cfc

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-win32.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp312-cp312-win32.whl
  • Upload date:
  • Size: 21.5 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 ece04d252eef3c751451f9f1d0201863185ed56bd200ff30d9346f5dfef81a47
MD5 e4c0f9a1a6140787017be6e26334f91f
BLAKE2b-256 2145854dab356e1adec4e5f0d143e804b9d6f6160e4f21a4cc6dc40655ce11b7

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b71f71fc0306865eb42f3f656142cfe0a853f6de95c93440334d4f06aebe3372
MD5 44b88f811ffd95d7cb06c2c8fca3b65c
BLAKE2b-256 37d71849bcb34fbdb333e17366718fe1358ff7c7bc6bab64bcca534b88865b94

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 d306b7519d8711d20e2ccbd896b764e1c1baf1f6ff6da00b437c2051bcfdfc28
MD5 67460cdcab400b1a39b390a534ccc333
BLAKE2b-256 1f498ddfdd32abd807d8ec370f8aecdc36fc73081e1a66fd75206212474281e7

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e77458a3e038e052103b59e76607ebb66e26e55ad0761fd351591eca1f7a7bfd
MD5 3c7b579700fc25aea972cc8a0da262f0
BLAKE2b-256 6d48b68d3033c933be516d6e15df62c518ede0755605a42dcde9bba5b5826292

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 69f5dbf9758bf2cb45b2a7f5540c8feedeb930ad4635b5617505fd2ec1876a8c
MD5 ee6134e9085c5441f5fa5f1538cbb99f
BLAKE2b-256 0a2e0145d6ec6925c202d16fbba9d5e3f59c89e5dfa23b69ac924f57ccb70b55

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b11998bac83429061e0588f8251b12a9cbfe8af25547d8968555309d5b878992
MD5 99e8a9f7045b4cbbceee2bcc4755f0f6
BLAKE2b-256 2cf3150d4b79ec665b4e2653123bbb6b6076c208bc0df88d0b1230543337e4aa

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e0965fefaa824ec19e6aea5452a57697437d9ea1ddb47e00c72b395e36b7091f
MD5 b1cda7051a8fd2964863e88f8c72e489
BLAKE2b-256 10b448e2e2af97407719f6018e11e8fc1eea0e1eefbd6d1f56e6f375a6908d29

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 22.9 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c48997309283d277ca6a3df0b4fed3e82c76493323676293e86709c06c14bae1
MD5 60dc91c39dec6997b9b10de311b03ed6
BLAKE2b-256 68843e807d5d21a578b823ae7bae1aa593a802f673e6a4a8fda471c6b0d02d88

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 21.8 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 77e192a1e243ec674a5492be922c4cfd4d3d0f2cf5429762c7916d8c319bfe28
MD5 92981e81a8a2e1024a703927b0573128
BLAKE2b-256 ce127621012b714fa4f158053ae6b363825790ea112a807629af519fa11a90ba

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d8a3ece4d20dcee320a84ee3eb119b2164c90e5921a6da5a46e261d5dcf5a31b
MD5 28a9a4f260cb884ace6d252fd6284721
BLAKE2b-256 b09daa7d4fa5936bd47d23a2ef0729c7418b64e20edb8a83b2163cb052c48ffc

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 8d428adc3e720507dd3cceab944ca7a581251a5a6862ad7ee9e38b3d35d8bd23
MD5 29b701c72f7d910645052bdaaf24d128
BLAKE2b-256 6f74e6e625334e0c388ba0cee55cf875327e073f2d8ee42b6e0badba43ea73bc

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 13d927f49712f71b8c1627d2e65ad0d0dca4d69591366660d175eace6f9c3297
MD5 4c3313eada13a17816a36c50e8897478
BLAKE2b-256 2d2570e82af91b309ae1ae08055a2a849147a4f23b7bd8abec0ddbf866ac0342

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 66a354c4d2eda3f5060403c466ac5a262893e52cfa7962b14dc83d531cbba2b9
MD5 fcefbdddd864939fc19caaf58cbad5ad
BLAKE2b-256 cf50ce05f61cd2f54810dab1d03b31679a27fc0ba4b643f5c8ef4e693e165585

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bca93db2bde4dfc8bd8527fe04d33cfd46b6866da37348b1f5cd76b35c7693b4
MD5 c3e7fa3be7487d88eb3f84ac7bf184a5
BLAKE2b-256 9002ba4f3ab40025409e054e2b3aef286340eeb47892cee6260b9dbb86724973

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aeca7f3226ba939c191aafb056e10bf1acc2d84103fbacc00f2bfaea88baf43d
MD5 ba27cd4c14e01c7e004b1b48c16f6da1
BLAKE2b-256 385bfc480eb4db2fbc310e99479aafef20de6675032ea3746b2946ac573f62ab

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 23.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 abe82ea5129542a2ae498d767527c1321b54668c3e859b50cfc8fcadbfd5bcb2
MD5 e935d3d2534895e5ece8e7337c90b1c8
BLAKE2b-256 94632db8d38b433055a1d3fc42fa0654c81fc93665b469b4a323ffdfe123a5ee

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 21.8 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 53d9e87f8eb5675194eff36ea467d81a0175a7ecc4fbf5c443390098adeb64d6
MD5 465df4e6b97c0ee8a5286825c092265c
BLAKE2b-256 0a015bcc090fbbbd5d3785aba60f896f59bd3ca250b8175424a027fa2d5ffe20

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5790f1067127f2edd463f326f4a7e02ed8ee78dfd03c47bb27def2574069f92c
MD5 7668b6ee54367932735fe7a6db7bea9f
BLAKE2b-256 aa536c1bae9844ea09c7af3c1e323fb551f49bd21eb4eb7710ba45c08860bf19

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 d7145aff47cc373e33c1abe951fe1cc03f8321e22f4242546c2c4e57cabd9c7a
MD5 ec98c5ea7654c18c88ea5ed9378faf51
BLAKE2b-256 4895d5c3f9ac846ba485ea4fda542878ccfc52141d0ccf4e23af34c4059fd80c

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5f4c70c25956664075476ed0d69b32d3fae00f85925955a87aa7edf76abba90f
MD5 fef32a2195c584f98fd7e9303294ad44
BLAKE2b-256 1787c6b09901463a4c715148dc2e3eda2af8be5ca054efb458ded8f3e42c3776

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 767d8db3c7fcdb23cfba9d120b0cd4eda9bb928c79a5b9468893550bbc162d03
MD5 c82dd5f126ec69883f7987ad0c2f4b39
BLAKE2b-256 dda75b7ea6c0ba85c939ac25ed800fb5db15f89032731d2e132e8727471bd9c3

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 eece486f225e17337896bc3a40301d23b04a54ba5fe4b10ffe5ea102f6f60917
MD5 7ca05b12228628080cdf0e76ff34e6f3
BLAKE2b-256 5ca09063bd1b9e2c8880164626339333758c71cc2aff5ff115930860988e828b

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b821d44831cf9fdbde4bbf87d47bccb57fc4d912f0b327554a3c5b2a2c45c7df
MD5 6ba2a841580ce79d4dcb43c6ee7d0189
BLAKE2b-256 13be041fe28f2dbd5dba28a1a5312c8ae7e060382b147206333036c84db69201

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 23.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d6b4b097cf5eddd0ba3460a2a45c2238080801ea8024491c16cce5369765ea7c
MD5 b23d310aa332e8bc870fd7e08d5d659f
BLAKE2b-256 1974089445bfd9e5c55d5a1dbedabf4da4df47ac5de9f4bb202227a7935402af

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: arraymap-0.4.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 21.8 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 4874dcd73c402a99ea205232331e7fe895937e53c4604f6667121ba404126601
MD5 d78eb50d436e9ddf71e0739099478c1c
BLAKE2b-256 6a32a9f32642d1f19a4ffc69b6c3bbbc767f00b0535f1c286233303d4db1803a

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 fecde93f81909d39cdd24804f4e12caa071aa31b13f10dee1b503668fdce9fcf
MD5 08f5392e2b5b4f3a868707a44f2b230f
BLAKE2b-256 150e67c319472da6bc0c543e8c89833c4752e750cdeed511a0fd7f3db2cbec7a

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 b713ef0d54deaaf356466a4338b07c431fd37a1c930aec9d4d331299ded63d91
MD5 9c7f5e574319b6b44517265b6a281e91
BLAKE2b-256 97d410815106d0d06cf62ec765b8f932b1125a2642c3d2b619a1661b46427814

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7850469f0c7e8fbf447c93f003518af9e62ffadf19218bc2ece8c601594096a1
MD5 e625b0bb554c2b848c66e5001cfd6db4
BLAKE2b-256 4fff062c0cf39200a0468c612839914b722f1ac496237c7d439b4b2aa9b90775

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 578e88e6d52d80016db1cee808df5bada1ec97108503d7cab9b77443c64296d6
MD5 d2f70b2b32b2fed9f9cc9a19c887bf27
BLAKE2b-256 5086e7d30a404594379b42c9272092bea9dfff95104dbce59f486b21683e1e1e

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4bb7e56426acb4413e70640e712a970396c55052a5743093490c17e8a1f1aa2c
MD5 6b98fecc59de053f3bc5797df77facc1
BLAKE2b-256 21037ab8dd53bab0ea0b204dbaad4d009f066f2443949c8bdb9738b76893da44

See more details on using hashes here.

File details

Details for the file arraymap-0.4.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for arraymap-0.4.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ca9c8f22f86e5212f1ebf0da206fb1dbd85bc40ca32901f02d839b5ae8b8104a
MD5 3e43f674f3153b97147c1bacbe2f7fab
BLAKE2b-256 d2938b7e424add066a0f9a9bd477050d84c2e15dc18dc50015e7350d90a55581

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