Skip to main content

Python wrapper for interfacing to IntrepidCS Hardware.

Project description

Description

Python wrapper for interfacing to IntrepidCS Hardware.

Installing

  • pip install python_ics

Platform specific Installation notes

Windows

Linux

  • Linux builds use libicsneo and are built against manylinux using cibuildwheel.
  • libicsneolegacy.so is bundled with the wheel and python_ics will automatically use it.

MacOS

  • Mac builds use libicsneo and are built using cibuildwheel
  • libicsneolegacy.dylib is bundled with the wheel and python_ics will automatically use it.

Basic usage

import ics

devices = ics.find_devices()
print(f"Found {len(devices)} devices...")
for device in devices:
    # Print, open, load default settings, close
    print(device)
    device.open()
    device.load_default_settings()
    device.close()

Documentation

http://python-ics.readthedocs.io/

Building from source

  • Building from source requires clang and clang-format to be present on the build machine.
  • python_ics has submodules, please be sure to initial all submodules also.
PS > git clone git@github.com:intrepidcs/python_ics.git

PS > cd python_ics

PS > git submodule update --init

PS > clang --version
clang version 11.1.0
Target: x86_64-pc-windows-msvc
Thread model: posix
InstalledDir: C:\Program Files\LLVM\bin

PS > clang-format --version
clang-format version 11.1.0

PS > python -m pip install .

Debugging on Windows with Visual Studio Code

  • Build and install python_ics for debug. When installing python choose the following:
    • Customize Installation -> Advanced Options
      • Check Download debugging symbols
      • Check Download debug binaries
  • Build python with debug:
    • Install Visual Studio 2019 build tools(NOTE: As of 2/5/24, it looks like MSVC 2022 does not build correctly with setuptools and debug configurations). You should be able to build from source already.
    • Create virtual environment and activate it (powershell):
      • python -m venv .venv
      • .\.venv\Scripts\Activate.ps1
    • Install dependencies:
      • python -m pip install -r requirements.txt
    • Build in debug (-g flag):
      • python setup.py build -g
    • Install into our virtual environment:
      • python setup.py install --force
    • Inside visual studio code:
      • Open the root python_ics directory
        • code C:\Path\To\python_ics
      • Make sure the python extension is installed (ctrl+shift+x)
      • Select the python interpreter from our virtual environment (bottom right with a python file open in the editor).
      • Open and place a breakpoint in src/icsdebug.py
      • launch "Python: Debug icsdebug.py"
        • Note the PID that is outputted to terminal (Can also add os.getpid() to watch window)
      • Place a breakpoint inside the function you'd like to debug in methods.cpp
      • launch "Debugger Attach" (launch.json) and enter the pid when prompted.
      • enjoy!

License - MIT

Copyright (c) Intrepid Control Systems, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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

python_ics-915.14.tar.gz (139.1 kB view details)

Uploaded Source

Built Distributions

python_ics-915.14-cp312-cp312-win_amd64.whl (217.5 kB view details)

Uploaded CPython 3.12 Windows x86-64

python_ics-915.14-cp312-cp312-win32.whl (207.8 kB view details)

Uploaded CPython 3.12 Windows x86

python_ics-915.14-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

python_ics-915.14-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.24+ ARM64 manylinux: glibc 2.28+ ARM64

python_ics-915.14-cp312-cp312-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64)

python_ics-915.14-cp311-cp311-win_amd64.whl (217.4 kB view details)

Uploaded CPython 3.11 Windows x86-64

python_ics-915.14-cp311-cp311-win32.whl (207.8 kB view details)

Uploaded CPython 3.11 Windows x86

python_ics-915.14-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

python_ics-915.14-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.24+ ARM64 manylinux: glibc 2.28+ ARM64

python_ics-915.14-cp311-cp311-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 10.13+ universal2 (ARM64, x86-64)

python_ics-915.14-cp310-cp310-win_amd64.whl (217.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

python_ics-915.14-cp310-cp310-win32.whl (207.8 kB view details)

Uploaded CPython 3.10 Windows x86

python_ics-915.14-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

python_ics-915.14-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.24+ ARM64 manylinux: glibc 2.28+ ARM64

python_ics-915.14-cp310-cp310-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 10.13+ universal2 (ARM64, x86-64)

python_ics-915.14-cp39-cp39-win_amd64.whl (217.4 kB view details)

Uploaded CPython 3.9 Windows x86-64

python_ics-915.14-cp39-cp39-win32.whl (207.7 kB view details)

Uploaded CPython 3.9 Windows x86

python_ics-915.14-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

python_ics-915.14-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.24+ ARM64 manylinux: glibc 2.28+ ARM64

python_ics-915.14-cp39-cp39-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 10.13+ universal2 (ARM64, x86-64)

python_ics-915.14-cp38-cp38-win_amd64.whl (217.4 kB view details)

Uploaded CPython 3.8 Windows x86-64

python_ics-915.14-cp38-cp38-win32.whl (207.7 kB view details)

Uploaded CPython 3.8 Windows x86

python_ics-915.14-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

python_ics-915.14-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.24+ ARM64 manylinux: glibc 2.28+ ARM64

python_ics-915.14-cp38-cp38-macosx_10_13_universal2.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 10.13+ universal2 (ARM64, x86-64)

File details

Details for the file python_ics-915.14.tar.gz.

File metadata

  • Download URL: python_ics-915.14.tar.gz
  • Upload date:
  • Size: 139.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for python_ics-915.14.tar.gz
Algorithm Hash digest
SHA256 e58fa5215abe6d6cc80124fc163deffab7a3ff46974bcd934eeed44f5b7840ac
MD5 ff6b0a01e7a97aa4b8b7119061ce31e8
BLAKE2b-256 dc0359aa905bc10de211277f4bf15385e02d9e4d5edfeadbe7f18b060a0e5d07

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 1445459de9a2c636896dade7cac850aaf8228fa3e2abd2645a734d8645a6e225
MD5 bf2d1b7bdc9d0237a99e88d8fe3fa1d0
BLAKE2b-256 d5037fd2e7db9ac352183181874fe914420ccba54f00a36014a1c3ec7edc6556

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp312-cp312-win32.whl.

File metadata

  • Download URL: python_ics-915.14-cp312-cp312-win32.whl
  • Upload date:
  • Size: 207.8 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for python_ics-915.14-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 53dee78285bd683d775fc72c6151a05216b1900f0d7b56a64c8964693c9e12f2
MD5 e11fa7a814eea383b5edfa614c054a63
BLAKE2b-256 e6f35109217ebe476e599754c45fef697f56ace3e51f32bc5917a6f7738b9c77

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 fafd9cb6b9ffc96b43a747c2449c276bd48911c44de11dc7c0cdc92dcf73b9f0
MD5 b1be427bfcbb3bbac28404be97216df4
BLAKE2b-256 a455195661fbc62d591bf67e3ff7a31f2d2df32e5a0423b3ea253a63d27380a6

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 62fa9b2ff60e716771bddc7f33742f4b60e5ccd310e2bd2eb0fb8e4836ab6f2b
MD5 170e95006b9a78f92374331213f50dd1
BLAKE2b-256 bd57565e2ef6e42c097b3e60f0becd4b6b2665413ffc37305d7b8272844e778b

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 dfecd1005f8370096ff362ffbddd8bbb071e891fcf40c0255330ac2cd42cd591
MD5 9d101625ffe79c54a1e280a0c32765c9
BLAKE2b-256 965d1fad48f72d0a3c7d35990473516c09ba168e0dbb41f890377718eb170b58

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b5a887c1527fde920415d207666a55d6eb43c9b9c1477e901ae83148aa4cafad
MD5 476cb31a132a89d14bec6e0acf46cf8c
BLAKE2b-256 532a19dd766984c02c599513245fef07e91e0f2e013c9453c460e8929fbe237a

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp311-cp311-win32.whl.

File metadata

  • Download URL: python_ics-915.14-cp311-cp311-win32.whl
  • Upload date:
  • Size: 207.8 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for python_ics-915.14-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 6b6fbcebf93ae9e5b26d08337affc4295424d2e5ba15a91df44576fae6e2213d
MD5 1f73c3dbe6c032ef25dc37deabe0e89b
BLAKE2b-256 5eaac2fd3ebbe50f8634e77ac1ce459abb84ce14de650e45561ec7bdd50983c1

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d5c0664398a2a224c59d1b199ea5805eace1718f2ab0893936fe773eed6c17b3
MD5 a93458619d612cbbde11147869c969b3
BLAKE2b-256 8b4a80af57d24cb0c49d4c0cf61942ed068ab2eabcfdb529c2b9916f7470f45b

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 de3f56ebf95aafb92285f3ba83e201c6b7335b44aebd4f37fba888da01ed1950
MD5 9528407feeacdcfdc72e98e1a051b585
BLAKE2b-256 d6bc928dbeed5b4e1c0225aa1b7a0250b90e9d8c05f36261f6c43720d594a620

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp311-cp311-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp311-cp311-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 27ebdb5e036c2c3385889585ee2543e93e5ebdfd4f653b89481748028f24daa7
MD5 d7af6f2187116b2665b690edec804066
BLAKE2b-256 d682e2468bf56fee84c5fe232f5ebd775ae5659da27663944844f6162ddeeff8

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 55cfee80eb0606f8dce25d8ad248cff6028ec9dd2d45806a4e2b5bdfbb548db2
MD5 4d12c52f652f4c9793103da2270894ab
BLAKE2b-256 de7267c769eeb7a2128b915a3865c17572a84ffde7c3e08a6350306cc548bc47

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp310-cp310-win32.whl.

File metadata

  • Download URL: python_ics-915.14-cp310-cp310-win32.whl
  • Upload date:
  • Size: 207.8 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for python_ics-915.14-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 931a7778a582ac86d55a96eb73d4e763ff1a8eb3f9a13606448bacfa66ff5f00
MD5 ec9678b6e7906bc2023ad779c730845b
BLAKE2b-256 1d59060bda6e8387c8b8c77365a02c1f36f47cd997a35ff6185ef605f2b534c4

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 84244ce9be72a330fdce4eb90a5e22c07fbd18ddd91220d81feea3886c6b4019
MD5 411e96a74a8d6e37358cc5aaa57febd3
BLAKE2b-256 63b90b1c76fa5e01e508f2b820eb75930b409951f347fa9fd3b1aaf7ae37367d

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 fe6ea943190e43624cbe481068178007321ea575b6161f1db66870cf84b80759
MD5 c86db431f4b07eaf4c1ac3f7c24b1897
BLAKE2b-256 bcd0e5a16a80c975ff6376c047c5df0834977e89d6e23bf65faec94b2a30c13e

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp310-cp310-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp310-cp310-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 e8877bd85594cbd538ca6b9a85e669ebb15c39f424d8521b60c0c31ba787409e
MD5 217f78c94f8deff90aa025777e686453
BLAKE2b-256 ac81a69cb33d78231a8181c8b253fa2bd50e749d595f46576104ac30c4e9d487

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 c4596f965cc6bf0acb0d367a0ffffc3dd6a9ae4f77284743efb6127f9c518201
MD5 90b2120239e5537897444ea30cbc1c6f
BLAKE2b-256 d5629fd5dff77d265a5e9523211ba0b1a134d455d53318befdcef71dbf24d488

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp39-cp39-win32.whl.

File metadata

  • Download URL: python_ics-915.14-cp39-cp39-win32.whl
  • Upload date:
  • Size: 207.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for python_ics-915.14-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 a1b788f9ea6fffb52cc06ad12294830793494a6e1a149a57675b5ed513916e74
MD5 fdf06e17cf2e811f15614e5d97cfc2d9
BLAKE2b-256 77de968f7ba688b4ab23c529cd4f9e0567933e5b85862b6ab9a3603b0978bb3c

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1cf55008823e94a0916cae9b1c1bf36f6ac9e433f22f09a5104b62595048ef95
MD5 3a8c9cdf3a55707ad2d4997a03d9a93c
BLAKE2b-256 1dc27e57e86090c73b1fcf5970353e5699c29d9fdf23a9fa1d7cc8f61ad71c6a

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a3259ab0f5f471ba1982f3bc7ec922e824aabe579efd74cea87417568caa4038
MD5 4b085898b8c2cd73f60a66d881f964e1
BLAKE2b-256 477aea1c796e06b89147cbecac59f8c1e86caddf4571e6313d4bee3951f07cb9

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp39-cp39-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp39-cp39-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 e7a2de7b99c65fcbe3ef3661dae73696091b87d82e213568e7ea5cf53a0cf4d3
MD5 b44e75fa384122eef16f211ae844753e
BLAKE2b-256 6daed5e09e9c3700b8760d1c0a62e82e5d71d6b0030c17c8bc8fbc570d1c9fc6

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ea3b69dd44788825d589db296899965bbb4efa42f402e48e4aa2725832f1b496
MD5 e492083571d5b0ed3a043d53163ab07c
BLAKE2b-256 d53a50b718825a494930c8d05334eaaf891ddd92e6a554f3b5e80745e3413f33

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp38-cp38-win32.whl.

File metadata

  • Download URL: python_ics-915.14-cp38-cp38-win32.whl
  • Upload date:
  • Size: 207.7 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for python_ics-915.14-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 e7a7f88b4813d637fece5a01ca916e334114312176c4cc935bb647c171ef430f
MD5 4e27c12b9f795e44ea53ec6efa198e48
BLAKE2b-256 cf0df95f340b76b519b8906a55f2e8f9f83e0196ca900de6e99dd9f841466690

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e04eabd4b387735081f08e652406b76eb5f6342dc4e18a89b43e15a53c1c3db8
MD5 3061cb7baf70a41bf500b700c7f4beac
BLAKE2b-256 aad88d2d38eb39c7096692c4931080f73c9d7214365978a248ba50c8ee44a04b

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 e381937841226a381c2e3adc05a93fb5a295e9efc98694f7ab55b3963789b5d4
MD5 c30e2df05327450ddf88a460575dcf7e
BLAKE2b-256 bcaf3809a0fcf0aa18bc3d0b6f3a059dd774c4017237e94bbc239e4aaf929f7f

See more details on using hashes here.

Provenance

File details

Details for the file python_ics-915.14-cp38-cp38-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for python_ics-915.14-cp38-cp38-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 1d285678426a70ddeba4186fdf8a072c2397fa416544d0318a47e4950fe27db0
MD5 7f677e573ee055ec953ed62ef4b65691
BLAKE2b-256 6cf123a8a885a2b158475471f76b4f2552eab5fe4642f383356cacbf7b9d74ba

See more details on using hashes here.

Provenance

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