Skip to main content

No project description provided

Project description

The author of this package has not provided a project description

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

py_opw_kinematics-0.1.0.tar.gz (77.3 kB view details)

Uploaded Source

Built Distributions

py_opw_kinematics-0.1.0-cp312-none-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.12 Windows x86-64

py_opw_kinematics-0.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

py_opw_kinematics-0.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

py_opw_kinematics-0.1.0-cp312-cp312-macosx_11_0_arm64.whl (3.3 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

py_opw_kinematics-0.1.0-cp312-cp312-macosx_10_12_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

py_opw_kinematics-0.1.0-cp311-none-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.11 Windows x86-64

py_opw_kinematics-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

py_opw_kinematics-0.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

py_opw_kinematics-0.1.0-cp311-cp311-macosx_11_0_arm64.whl (3.3 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

py_opw_kinematics-0.1.0-cp311-cp311-macosx_10_12_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

py_opw_kinematics-0.1.0-cp310-none-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

py_opw_kinematics-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

py_opw_kinematics-0.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

py_opw_kinematics-0.1.0-cp310-cp310-macosx_11_0_arm64.whl (3.3 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

py_opw_kinematics-0.1.0-cp39-none-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

py_opw_kinematics-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

py_opw_kinematics-0.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

py_opw_kinematics-0.1.0-cp39-cp39-macosx_11_0_arm64.whl (3.3 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

py_opw_kinematics-0.1.0-cp38-none-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

py_opw_kinematics-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

py_opw_kinematics-0.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

File details

Details for the file py_opw_kinematics-0.1.0.tar.gz.

File metadata

  • Download URL: py_opw_kinematics-0.1.0.tar.gz
  • Upload date:
  • Size: 77.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.7.4

File hashes

Hashes for py_opw_kinematics-0.1.0.tar.gz
Algorithm Hash digest
SHA256 36c79245d820af432874905ff099e41e0bdd33316dc3304c3db00b4d04d74c94
MD5 3a95977c76c6c88eb0908117fe0359ee
BLAKE2b-256 2d8d8d05c23be02569d8c277fc6e0ca7966dbdecd01401fd6f77b06b4547fd0d

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6e07a66ecf436581306d622f359eabc0c8177c4089d47f6f8beef5137d338089
MD5 924f1dfe739591b380cd7971bb552ffd
BLAKE2b-256 7afd2b4d5cff039a6253e87de4fc24f3d458f1eaf0a5a7c8d9905c0079c1f345

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f04abfb12237c4484b88e003b21bd5bbdf5b4a642b68ec8d9eb4327b39678411
MD5 d146772341e2358ea802a27d26285e28
BLAKE2b-256 3df9c44680f7fa702cb651164df0c8ee597e1930a71fa6ddf1bfd421849e5777

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6f02ed3c95e748df4ff36613ac2e9f93c62cd2954e6203239a0ccb5fedfe8a79
MD5 93fd1324beb6d5f5a719101cecd84d2d
BLAKE2b-256 48cd35f99f4e894fdd28ee26d1b21714ef82ecfcf8b82a690da2020f26984ba3

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ff1e742bb9a84895992eb3c45b0041f576df5ba6781aa892c1fe90f22194b768
MD5 3c8fcd178cd8b7300155a85b830f58ae
BLAKE2b-256 6472fc2f7b557439c1cfbb3400e25563d4a07cbb6d0a9ae51c81255f157897ea

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 29541a8d9a7b10707d918a079cc013d68080a717cf0fc9b06f9d627930da771e
MD5 084087de2c8b71ca70c2a875d1aebee8
BLAKE2b-256 8a07ff23dc3f604928ab3998fc7ea33e7c827ba446d2b239ba18d22f77d9748b

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 dd3736c6b8fefc29020de475756621dbac6a9f95119a2b8cf3386b7bc38d13a0
MD5 6715ed5cd37be7249da50a097d162bf4
BLAKE2b-256 03f9b62f1dcbabeea9c7eac4ddabc36f1acfcec609c716cfe5272e21bbed9d04

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a252e01acd527a73ae3487f318d83910fd8e92ceed1f4b6d1f80aa4da820e2ba
MD5 7fa4a9ef2c934b45cc9337d112ba589e
BLAKE2b-256 be988063a02b460467a2b0848443b3a0301253eee63d5e792a1b34338188b86f

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5902a030acb76c3707ec81c3c8f96fb028fa1ca61fbfd526e3d4385d80763d59
MD5 bd2f3a3af4cb5d5897b708db6cfc4c81
BLAKE2b-256 22e9470d022c0c07e3a541d143b2d3887903e6e957035207a1bf68dde75f1747

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 344a220baab321d7e7e98f93c557d75013d2710452753e8a6252a47232ed347a
MD5 4218777f84fff4c418af0125415a0dba
BLAKE2b-256 b7f7834ab27d986910b0860dc63f51fd721e9f58275c0d3678dbf576deb71f42

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 709560e133290555b0452f9b32f21c883159c6b49dda4b65503b25c2694e65d2
MD5 d3faafd65ecb736bd82b12e236a1fb51
BLAKE2b-256 8f65b59e5bc7fac892e530d8dbc0d105715ffbde76f5a0e1204ee81c849e39db

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 2d0fd90d1d8ec3d8e11ad10dae7b4b9547696ab851a4895822bf869501474b8f
MD5 591a79bcc0dd1eec1d31c18cd076aeaa
BLAKE2b-256 ea454d0d006ff1d84e8e5c64e81868827c794d8a34775b8e261534c0e22c6e70

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b6337314f02494bdaa8c7204dd5c8e1314ee9bf2807d3aebdfdeb37aa539fa80
MD5 08241092ee9f5a2c38f631724039d70e
BLAKE2b-256 d6c3ff66ca4678c1a220ef63278371dbe5d97efc005e8385dd60dc679e8c2a51

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 22da3523018d155658f8583f301dfb9b38208483ad72e91e43fd24634633c165
MD5 de28eeec99c685337416f369082f8737
BLAKE2b-256 c4066cc0a51fc429c8fd93401cadc152f7ee56a9e5117a96c057679be0ee75b6

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6b69e95adaff88bbded32845103f23a8abdda60bca2c41d936536e929e8fe045
MD5 ee103b52c40e23ea9e1638ebebad5eaa
BLAKE2b-256 3c3bfe5c279e5df44eb2b0bcb4e6fef224d608a0ceefc27dc637f3f992c94c97

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 b5b0c03fee7c7c8378fab2ce646fdf2ba6471c34af8f6f0e89e6b63439f8cbb1
MD5 dcf97d59694d32e87b6923fa94fe87ab
BLAKE2b-256 8d40aaa97d3e9aceb3d95c41a3fa7189f68a9d8708cbd7a3c926e3237cf4f891

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 df887454761c00d84af73fb7c08992307e6c227bcf1a2f8fce14314e0d33d805
MD5 0f65b6bbed660763567250f4a5c9c1ad
BLAKE2b-256 b22c170bbfc2b6fc595289cf22c540e783992c219e6a261c3ec3b0c9f8fb7484

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 94ee5cb3c77133f364a5ea2fe2f19dbfd5b200473baf6f2208dc81e337970be2
MD5 56a8288e989f2423096f29ba850e0ed8
BLAKE2b-256 b235508f165b14a34384c2a3d77ec6eafdd4985b997d393b3e5db47b41c56e50

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ee0395b8b55131279635c56b0a82c57b35df85253da074838cc458dc77dcdcaf
MD5 c09b224578891ff49ffae93051af602b
BLAKE2b-256 a9c74a228790b5787d26f45cf8aa1e6e43d96788a3122ee7e421330054610951

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a21f314d9a1cf06f7c208fd20d666fd3bf34072a2e7d52ff38c6e84b6784a8f0
MD5 ade7da31e87907a16d8a672240ee89a0
BLAKE2b-256 7daacd7272ebca2b590bfecae2b5729661573334f3af4808d9f69820a50814f3

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 c90cf8117534b18e828cbb6aa9f88857b8c9aee2cc51c6c74c9b6f62d24d7cca
MD5 e8f575c9d12e81bc9998eb5375ddee25
BLAKE2b-256 0b2607a0accb312ebd3e5a7ce16b07624eedab7735874ab0aebcdd4bc5929b3f

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ef8fc326c7c04de20181a846d49600b27b7cdd50c181f0e3ff5d26825bb9a491
MD5 829f574eaa7d11a8f4769064e4e9199f
BLAKE2b-256 f379765c4311a9bce3702bd95e4b9c300e67d4507cc74760f96e6ea00f096852

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f656e0e93b65d2e571dbbcb1914d6aa8d2728912a98030fcaa4b11967884be9a
MD5 d9e411dbfac20b1c2b72ffbd9c6ae2d7
BLAKE2b-256 b8c7ad0908d57ea0aec4b1219d23deebe1bbbfa31efe18a60916300a59a14a79

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bab0e6c0477e7477528af7c37f38327f16c87a2d7b3031ed697e3a2a3fa3eb2f
MD5 165afd5a29766c83b2eaa2cbb024f7df
BLAKE2b-256 bc3a98e549702c353cf1c000575a41307ec1cd9c30b7ff3b8babbfb184d2dfa1

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 cade31d8e2deda28766162290a527babb0707a1355b635dd6a7ac807f4962c7e
MD5 b7f649273d48c69d9c1ad891b54d6e47
BLAKE2b-256 1634b9b7c71f115bcac43c809753462731def9e1348c9cb2ca7548a6621273ed

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 990083d1458fb70a78b705e3f72a4531cd2144270fbf69fd743ee99d2ffc5a46
MD5 ee31b28b4a65dedf0cb1699a1efc5ccc
BLAKE2b-256 f6f699ba1f0d0eb3b1b7889ca41175be62fa3e371d9e06c460635b22c86f6916

See more details on using hashes here.

File details

Details for the file py_opw_kinematics-0.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_opw_kinematics-0.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1f6110a8bb8b9a3fabcb8263a161191cde07f40dd119a612ac8b1b226f182594
MD5 5a1598d0fbff570664867d8eea835b2e
BLAKE2b-256 d8b76333cc093d9770996398c8f858bf3af4b2393f351dc01579b5620cdfe4b6

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