Skip to main content

Python library written in C++ for calculation of local atomic structural environment

Project description

pyscal - python Structural Environment Calculator

Complete documentation with examples available here.

pyscal3, a completely new pyscal which is faster and can handle a large number of atoms, with a much more user-friendly and intuitive interface. Adds more features such as more structure creation including grain boundaries, selection, and deletion of atoms

Installation

pyscal3 can be installed directly using conda by the following statement-

    conda install -c conda-forge pyscal3

From repository

pyscal can be built from the repository by-

    git clone https://github.com/pyscal/pyscal3.git
    cd pyscal3
    pip install .

Citing the work

If you use pyscal3 in your work, the citation of the following article will be greatly appreciated:

Sarath Menon, Grisell Díaz Leines and Jutta Rogal (2019). pyscal: A python module for structural analysis of atomic environments. Journal of Open Source Software, 4(43), 1824, https://doi.org/10.21105/joss.01824

Works using pyscal

For a complete list of publications which used pyscal, see here.

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

pyscal3-3.1.7.tar.gz (74.8 kB view details)

Uploaded Source

Built Distributions

pyscal3-3.1.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (455.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyscal3-3.1.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (472.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pyscal3-3.1.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (388.8 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyscal3-3.1.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (457.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyscal3-3.1.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (472.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pyscal3-3.1.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (388.9 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyscal3-3.1.7-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (455.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pyscal3-3.1.7-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (473.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pyscal3-3.1.7-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (388.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyscal3-3.1.7-cp311-cp311-musllinux_1_1_x86_64.whl (974.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

pyscal3-3.1.7-cp311-cp311-musllinux_1_1_i686.whl (1.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

pyscal3-3.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (455.5 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pyscal3-3.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (469.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

pyscal3-3.1.7-cp311-cp311-macosx_10_9_x86_64.whl (392.2 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

pyscal3-3.1.7-cp310-cp310-musllinux_1_1_x86_64.whl (973.2 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pyscal3-3.1.7-cp310-cp310-musllinux_1_1_i686.whl (1.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

pyscal3-3.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (453.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pyscal3-3.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (468.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

pyscal3-3.1.7-cp310-cp310-macosx_10_9_x86_64.whl (390.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pyscal3-3.1.7-cp39-cp39-musllinux_1_1_x86_64.whl (974.5 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

pyscal3-3.1.7-cp39-cp39-musllinux_1_1_i686.whl (1.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

pyscal3-3.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (454.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pyscal3-3.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (469.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

pyscal3-3.1.7-cp39-cp39-macosx_10_9_x86_64.whl (391.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pyscal3-3.1.7-cp38-cp38-musllinux_1_1_x86_64.whl (973.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

pyscal3-3.1.7-cp38-cp38-musllinux_1_1_i686.whl (1.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

pyscal3-3.1.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (453.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pyscal3-3.1.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (467.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

pyscal3-3.1.7-cp38-cp38-macosx_10_9_x86_64.whl (390.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file pyscal3-3.1.7.tar.gz.

File metadata

  • Download URL: pyscal3-3.1.7.tar.gz
  • Upload date:
  • Size: 74.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for pyscal3-3.1.7.tar.gz
Algorithm Hash digest
SHA256 58fbee21dbbb94382bc9487c6ed7dba8ea5b9ffd0a6c6b5e8743e0ddfe2ecf52
MD5 803a57bc3034d3c14f1229a7c007595b
BLAKE2b-256 f1692239a7e36dc8541de8984f4f9506794cf0bd1b71e1c02a8c84c9a499f8bb

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7cb2f08696fb310c68b40e390040bdc2de4799635d679351dcccf592e7c2f1b3
MD5 9274e7f764d518ae3b2cc41242b25824
BLAKE2b-256 c42fbd5981da12bf8ae8cf9cfed0130faa778c68dfa549e52e5c2bc5fbef34b3

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 42d4607cddbfc936708744ff391b3b971a2d2e9f1d2feca031f9df8df52884a1
MD5 7e851d4990a9e3726efea00276c266f5
BLAKE2b-256 2658b83128fff929a72e71b52ef4d2f2944cbb0c08b23b9412d87064e3d174ca

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aec487454e8c91d15e7e176aba3d393d8f7cdb427a9338c89d724bf1ff06d03d
MD5 8fd151c8f8cb6da2be4f22fcdf568da0
BLAKE2b-256 6acdaafeb2fd66ff5afe72423e43b4eac5659a4b99635a6f7cd6aa5199813c20

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2187dc430b975ab14213f916fd3a222241c76e2e1a7f3951ceb7a38680d324b0
MD5 b0762af1017fe5e58907a7832def6013
BLAKE2b-256 afdb9488e2a4d6f191ca53f72c67649d99206d47c3e0387ba74a3ca3af92db8d

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9a255798f5c67f3492ea3f22140539a547bbbb42069dbfdfec9a6d75b5400914
MD5 42bc3d86c0cbb2dcdf0580dfc6e65192
BLAKE2b-256 aa5a00348c6c549bcd787fcad93f8bd53c3af827261af02b3b8e866190a4d13b

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1c044cfa3cfba88c0e965c585f2e71835b3798fe5ba4649d5e69f84634acab5f
MD5 6cc267a64f0fd8908019c3520d63c67c
BLAKE2b-256 4a8c04113e905e206df14bd60e893174494867181ee9529cdd909d60a2a69dd8

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e13f64ef8892d68455a8027faeec629625442c19b1001d8883f418f77694aaa8
MD5 9376c7b0eac7ba5fcc529e19288dd2f0
BLAKE2b-256 24c82de8c7412b3b16e82d2f4ca681fdbdffc591290b623d354519ccd9677f15

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7e4d37e727153c07eead0b5128511d21f980ae9ab35e2153915d702dfe569103
MD5 ef1e4568cdf2fee47e3d078001cd4cd4
BLAKE2b-256 e0915ddb60e1f69061c147e58a286ba2293aab80b3a46bedb28ded2bec8d3920

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 93d406fda742f9dec5ae75785875eb61d5be3adb974847f2f6f3c993ac749b16
MD5 f0e062dd071fc306751ae03546f5ab52
BLAKE2b-256 b5f1a40042ffe0bb47ae7abee8f3dfee90d0065228cc28ab4e159729af144342

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d723b35d1e93422d47b0a73ac7a1faef2d6d7d20b17b080d348f8a731a56e1dc
MD5 fcd3402b8c50eb2b289b970b6e04e9bf
BLAKE2b-256 a47a7801dd44c5a3cf2622cb19e1b46ebf7e7ebf3d7a2eaa9561cb7973885a2e

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 33b3d7cac794b01f55a4abba6dba436a9b359fc592656e32240709047db1c5e3
MD5 a18570fe535bef9b567c364850a09685
BLAKE2b-256 9ef38638021b061de0f932e0290a3693aaf47202f6a85146de3a92c0b8770672

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ae595c6eb9d52a55f3c4994a4c37933f74430936857f75272587ccc32a094543
MD5 42640845b395f345d54e38fd525df1ec
BLAKE2b-256 e8efca0584fff5799801933e834244a16805aa3ff58927937b00dbe8a17d6fb2

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a6582e5fa778d2cbaf7ffa6d9942bf4125bf0a3d7f0372e8d8b922a00b3b27ab
MD5 cc7b3b0f8ee4ccc9f61f3f019ed91a87
BLAKE2b-256 c9c6e69ef705898b559fc2dfe38a1701fcb4cf3170480100a097e0a805ea8288

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 05dcce2058bc7ce03704354c2af2aca5c2980b84fc78ae92b0a0a30d967471fd
MD5 355154a4cfbb42974d00f05cc232177f
BLAKE2b-256 d6cab49e41d75b3ffa07cf82a3c81890910a0bc867676d1e87636ea7796d5058

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 2cf3e745346230ee231030828b65e3a81fde9170b8deeab884227e208902d73d
MD5 f03d0ff04065230d53285f3d26ac22aa
BLAKE2b-256 55f644dba12a4ce8dcef60cb6ad4acedf2391968c4731b84f2d60ee8250b116f

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 9bbc3cd10b3c66d879b55fb3f0c9d021f3e37995c39844643303e3ae96f4d33f
MD5 88e544e6038e6114ba8bb5f0554ca333
BLAKE2b-256 c135c2cbb8c12905a8d81521f05b2f13be7a20f8ccc043ce99d3538190181a8f

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3fb91185c8b50797c4ec937bd3d822107fb49a967f655c68276a7885ec1a8a7d
MD5 1a270256bf1cf11b7373520ffc1ad446
BLAKE2b-256 1e3562dd3a1a4fb1fdcd2b3b352fa28e9a6996cdf773aa0be13746703b11ff38

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b7fd0f6952163839377209601e18a3a4ae0bb20ecdfadb17670138da581885d5
MD5 be7608319425eca523c5adf4e56447a2
BLAKE2b-256 5bb985e46571c477dfbe5473400a1d0cf233d73b073e1617fd50ccfd725c569e

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 690677181bad376522b5ec56d333a274e4ca6e266eb5990261579a10f184399f
MD5 9de7cf655630ed0178454e50bb17410a
BLAKE2b-256 418c2262b51dab26f90339e3a3d7f84475d436b2dd4333aae1228a476e67a92a

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3bb0a7d59331cf9bf6fbed3b62d867804f3196d5f6d364950b0d312c5529ef07
MD5 a37406db9379a10bf17ce731a02e48ae
BLAKE2b-256 acfc3e990278d7b95ca27fea61e17a5fdcb7cdad823ad0ffe0ec6a5dae941314

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 3714d90f9afc65fe930e3a8748e373c8deb478d316ba670a9218a308f0df2064
MD5 cbb2bf2fc8ef7885d7a74a3a735658d1
BLAKE2b-256 8cc2db6271b5979472091482603ad16cdeda05e739f4e3ed7d613d6cb982ab2e

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d210e26ef9c6c4f8fca9717b6656dbf31a49e5483b7daa6d32e646ff6756f433
MD5 48c76a850a131d1b2c74651d926f29f4
BLAKE2b-256 ef1ad2ca5fde6644558b704ec808cc9c14cf8d0cf4361d241383a92e1c42bcf1

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bdab80a9e174fd3c33e92f3d3be18b1f8457ec0a0a0aa3fe0e5ec1dc029ef22f
MD5 1cbf64ed4535aac328696d3cf54d3f44
BLAKE2b-256 2115cf6c3f64f3b19c109975ccc7f6194a31e3dae773ae869074f53361dd1b92

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 304999245376c75c5f460ca2822e6d21ef5e05f52eed952e1dba8d8ff371a74b
MD5 6ac32a81afb2be6cbfa912ad67f6ce3f
BLAKE2b-256 fb05f10d31e89674efbe015b1809943b2e04552dc1ae18e513e849ad9d00a306

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f66f0f00ba0a50526e79ac9abfb488660bd44a3dde2a1f14462c771c9fdb7efd
MD5 aa36b6cd4cc46d7f06394eefaa8c2e44
BLAKE2b-256 4896d6ba293bbff163cd5de4504a5555a60426866d2e12e095d1779ea6611550

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 696686c2c261d267dba08c9f7b5ba9b9f0d13fa126649d7c3a07ab4692a4c31e
MD5 de6c32ee61f2c83340b3a5f9e8102f39
BLAKE2b-256 1be79237e663f2b2188550cf71387cfde2dd35a9a3e25bb5871d5a073821e97c

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2c409281c0bc515dccb6a3c017904dfaaad9154f6ff6a07d83345193f882236f
MD5 79fc4f448b9ef7b413898a15034ff7d0
BLAKE2b-256 29f4e75779c376f6bf1b1a9954395582afd1790b9edce9998c8a5fa02caddc2d

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5939919571c190b4b6a1b444b5bbc0b0d1581ea41f68e1f1246c724ba5bf9cb3
MD5 a0a2f71706fd3ccf55f708a9d9e94694
BLAKE2b-256 5e98f5d70867b14cbaffedb42cb1b051b993a2c8f62cc7fc3285eee92fcbe5cb

See more details on using hashes here.

File details

Details for the file pyscal3-3.1.7-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscal3-3.1.7-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 51899454f002913c648e38cc92f1dead769e6e97f0c76eb4841aa2ca51a9ec00
MD5 eed27992b629af70b243d014ff13d2cb
BLAKE2b-256 94b81b8500c74a70b304f6bdb8dbd33efe2869a25a2705e49d0de5611e71e126

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