Python bindings for the GCO library by Veksler and Delong.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for agoose77 from gravatar.com agoose77

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

gco

Tests

A Python interface to the gco library (modified for repackaging from the original source)

The exposed GCO<XXX>Graph classes are available under the gco root namespace.

See the research homepage for license and usage information.

Neighborhood

Without the ability to easily create C++ arrays-of-arrays in Python, a GCONeighborhood class is exposed which builds pointers into flat arrays:

neighborhood = gco.GCONeighborhood(count, site, cost)

where count[i] is the number of neighbours for site i, site[j] is the site of the jth cumulative neighbour, and cost the corresponding cost for such a neighbour.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for agoose77 from gravatar.com agoose77

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

This version

2.0.2

2.0.1

2.0.0

2.0.0a1 pre-release

2.0.0a0 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gco-2.0.2.tar.gz (42.0 kB view details)

Uploaded Source

Built Distributions

gco-2.0.2-pp39-pypy39_pp73-win_amd64.whl (215.5 kB view details)

Uploaded PyPy Windows x86-64

gco-2.0.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (213.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

gco-2.0.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (221.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

gco-2.0.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (183.7 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

gco-2.0.2-pp38-pypy38_pp73-win_amd64.whl (215.8 kB view details)

Uploaded PyPy Windows x86-64

gco-2.0.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (213.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

gco-2.0.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (221.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

gco-2.0.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (183.8 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

gco-2.0.2-cp311-cp311-win_amd64.whl (216.1 kB view details)

Uploaded CPython 3.11 Windows x86-64

gco-2.0.2-cp311-cp311-win32.whl (171.0 kB view details)

Uploaded CPython 3.11 Windows x86

gco-2.0.2-cp311-cp311-musllinux_1_1_x86_64.whl (738.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

gco-2.0.2-cp311-cp311-musllinux_1_1_i686.whl (796.6 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

gco-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212.5 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

gco-2.0.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (222.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

gco-2.0.2-cp311-cp311-macosx_10_9_x86_64.whl (181.1 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

gco-2.0.2-cp310-cp310-win_amd64.whl (216.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

gco-2.0.2-cp310-cp310-win32.whl (171.0 kB view details)

Uploaded CPython 3.10 Windows x86

gco-2.0.2-cp310-cp310-musllinux_1_1_x86_64.whl (738.1 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

gco-2.0.2-cp310-cp310-musllinux_1_1_i686.whl (796.7 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

gco-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212.5 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

gco-2.0.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (222.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

gco-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl (181.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

gco-2.0.2-cp39-cp39-win_amd64.whl (213.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

gco-2.0.2-cp39-cp39-win32.whl (171.0 kB view details)

Uploaded CPython 3.9 Windows x86

gco-2.0.2-cp39-cp39-musllinux_1_1_x86_64.whl (738.3 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

gco-2.0.2-cp39-cp39-musllinux_1_1_i686.whl (797.0 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

gco-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

gco-2.0.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (222.5 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

gco-2.0.2-cp39-cp39-macosx_10_9_x86_64.whl (181.3 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

gco-2.0.2-cp38-cp38-win_amd64.whl (216.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

gco-2.0.2-cp38-cp38-win32.whl (170.8 kB view details)

Uploaded CPython 3.8 Windows x86

gco-2.0.2-cp38-cp38-musllinux_1_1_x86_64.whl (737.8 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

gco-2.0.2-cp38-cp38-musllinux_1_1_i686.whl (796.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

gco-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (212.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

gco-2.0.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (222.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

gco-2.0.2-cp38-cp38-macosx_10_9_x86_64.whl (181.2 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file gco-2.0.2.tar.gz.

File metadata

  • Download URL: gco-2.0.2.tar.gz
  • Upload date:
  • Size: 42.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2.tar.gz
Algorithm Hash digest
SHA256 8085c7fc0b72fa14ac129506043cc2d0528b7a3cae3e6008244ef644f2455e70
MD5 e9264b963dcd906d86d1ff5ef47f7c09
BLAKE2b-256 730132a8c6c15cf4b98c9616ddb9fdd187fb9875f9557398752b7f795c615870

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 6d8495d7cb50f208b9a649cbf203fc7341dc6e39416d475bc82c72a8742594b9
MD5 522ada67309b29aeb00bdab36e46dd4d
BLAKE2b-256 33b60f90a2d20175eb518be9e9011936d3a97e3ab18123a7072286dfa2dbf350

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5a1ffcad9fdf3552ae097a2fe61b78d3ece6af219e530517f5e0e5f044cce624
MD5 4887769161f938ef14b6348cd53b0ad4
BLAKE2b-256 86b4b7fb6f08d9da66f3abeb79be9e3a866929acf42d51b944ed3906cb07b2af

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 0a3f0c17c3c834bfff9e4f07a7eb7922dc802fe6395dea99cfac03b4b7069896
MD5 22f1b24d6834c0ce30c47178292a7a95
BLAKE2b-256 a70dca995fbe578b85cf29289f403c13850240deb5dabbbf7dfec9dfd1721442

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e7dc1da5aaed5f12d1e65ce77356ba1658eb215da069f362b762303006a52ea1
MD5 23dc9a661dcceeae6ec285b0f255ecad
BLAKE2b-256 74d7453a59722cd8dcf4d31770450bb105216699170ed53fe13fe51eddbff95c

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ef6215d6adf1205db3b980328e6765939798b3d5406211bd915885c9bf72e2ee
MD5 e04d5f085c07127831b50c9159d8d47a
BLAKE2b-256 a293a05ee5d0d39f43fe9558b95ab64fef0708746db97190da88ea6ca629c212

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5f47538779140ae2add57f5b4eb93bedd5d2e96fe665508072589e331e22e1af
MD5 c7edcf3868269904b6ad3190c5d1d19b
BLAKE2b-256 f895d93e6ad7d532e2ef24e6a110b2a9ab0256649c333d76e0d7c22b95fae9f2

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b89383f6544fda66dcb92560cb7775a2afee204a3904c30f72911a701a176eb3
MD5 df19926d847248114f6846e7541ec2cf
BLAKE2b-256 6078cdbacef6bccb82cf07497a3a27d83321db09bc8467aa41ccf61d262fd8c4

See more details on using hashes here.

File details

Details for the file gco-2.0.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c0a57736913c3597668975c25708593018a0e2bee274f3384f07d97e8e32a53a
MD5 4084f665eb9455fdf7bc35b960fc101f
BLAKE2b-256 e7d5245edbc790df19ec5692f1f62ded6287a32357c5a0dd9b704845b86c4b02

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: gco-2.0.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 216.1 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0794096fa596dd46cec90ef90c0dc966a590c926d252d2f7b5d40259f7dcb84f
MD5 f197d7ed05bdd2e92a17045e55aad534
BLAKE2b-256 13039e345aa713dea8ec4151755f97c8278ddf612f27efc3f9c70bd6e91f3ef7

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp311-cp311-win32.whl.

File metadata

  • Download URL: gco-2.0.2-cp311-cp311-win32.whl
  • Upload date:
  • Size: 171.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 94e1f81ab561bcdabf41613fa3c6b5c0368c93d01c98b785371f96b16ea40c7d
MD5 8f4f8ba86cecd4ea075c60780985b55e
BLAKE2b-256 8d221bf3608bb0960df5eb2d705879bd481423669fb41f126c51f154ba7b085b

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ef26f5c1e626e79f86f65bfdf0f302cef5f44b7f14c7c05b510679d7dfc7f36d
MD5 aa6a6348e8408f9aee2f6b5f582e2984
BLAKE2b-256 cb94f91544020f91f2ccda9f57a5b8e57c3440ea5fe7d138b389e2636c26b12d

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5eec2deaf794286233e91a7891b98ae37797f020e19f1d4ff8d236b857825c0d
MD5 f4c46c974eda071ef7e4f0a1d1743b7a
BLAKE2b-256 cc9247f403760fae097ccb364d0a3bd875cda5419dd742983d7064698ce6b8cd

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a30ad4e021a6ee0af8e0cfe421ed89df3b8d041cbffa1fea06aee2f2c54cd228
MD5 4e6cdda579aaa72030ed1e521c4ed0e8
BLAKE2b-256 d8b4f50064240e7122c092577b846fcc90c7e36a36475286acee5771f37ad1dc

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 293d4c3ae5fb5c7a1dc90e6579fd70d6837ebf13662e8fed6a71a30a8862d498
MD5 00a110a3d2e1a25e4f0925a910c74add
BLAKE2b-256 70774074ec0ad255057cd0719cdf354301a37972c453ddc246177556bd1928f1

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 70e69dc6a3917d33661bc63d9a7bc53c68028164baac6856e5825d310b85f46e
MD5 9c1ea7b206693992d608e6f7d4e711ae
BLAKE2b-256 9b350d48fcb5c708f1cab4503a60525a57f50609d5d3198a2087108af3ed0ddb

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: gco-2.0.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 216.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 754ca0b9e65e28d0f2352007e63d2f3b88aebb9d0b5f53bfe1ab64db92d6c4ec
MD5 b4f8487afb4196b0b2aca4b78071e2d9
BLAKE2b-256 1a64e368a85c4d4c91ca8f4238f6813c260e7cb5764f3227eb882dffdc86fb6c

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp310-cp310-win32.whl.

File metadata

  • Download URL: gco-2.0.2-cp310-cp310-win32.whl
  • Upload date:
  • Size: 171.0 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 04d7bb6faf9eb58aaca50c4d42dc515ed73068331a05a969b6be8c1879f0b3a6
MD5 9279f8fed30926e419f3eb931ae16bf1
BLAKE2b-256 d0facfc7d6c7e96ed542c517b54c89e8f646dff8865cca07f50ea77f319fa0f9

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 eedfcbdc834157617220621c50ad5abfdb4c0be0f0275b9dd57225d40003fb28
MD5 137d9c373f1d61b45a071de362f9c9f8
BLAKE2b-256 ac1ad8a5d37b4a2fd22f2f5a99739d2e2fad07a976703fec058f39d4993ed466

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 2f573eaa5f215d7c5896c150d71a4c0372e068fdb5357ffbdacebb99dc9c67db
MD5 6e10a7689c6a6b7d536bb47ee8db6699
BLAKE2b-256 3d47e749b824d8e0e79eb500ddc718f4ec0b09f771c933036253bd22dff3284a

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8cfcb6cebb7d3251e4923bfcb7af6b5fb1dbd171755849dad20d81eb2734a3e9
MD5 54e201d435f0bcbc2f3b66d04768fe91
BLAKE2b-256 e5b7b6b2b74bca486f6cd81e80daff06e9add97248b9c9bcd952f775d5d8f49f

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 783ca9665ffa656233d1a530d71f207fe7af4d5e06598012a3df0c34e072247f
MD5 b9ec2108d22aa77a849866b36e1be094
BLAKE2b-256 2b54bbe8bbe230470814116b53387a5ae3d5252a4518e182c4afd5ac1d289499

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f77a64b2d33a9b7e950c2cfeaa39d186b83b937868c50f41cc977bcd28927b39
MD5 c1a84ec71cc845bd4ee5de82fff4ef66
BLAKE2b-256 01222646a02c2bb3b323cbcb299066cd9bf3dde05f83b61ee4d573d8988ed7a2

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: gco-2.0.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 213.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 e87f03989f154dfb1efaa40c76d155280225d9e29e70ad5d67a77abc601d4f28
MD5 681ba9311f74156e0c0024ee8f2b1253
BLAKE2b-256 2f8cee6c58c2cce0798449794376a6f77d2cfd35aa128f6fe9ca6329e7dad2ec

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp39-cp39-win32.whl.

File metadata

  • Download URL: gco-2.0.2-cp39-cp39-win32.whl
  • Upload date:
  • Size: 171.0 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 c42523acecbce65f89c4704f44525254743a6c196d1357f30ebe4209b3935ed8
MD5 66b819b72b30b0ef58c270ecc4f68a29
BLAKE2b-256 cb71e39c3207762d6056a8def9482e3031adb8245bf793147ee65bc7b4919368

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b7ce18b83bcb814af7da5ae7a185153c952e662b7376dbdd7b0370c9a9c1413a
MD5 84c10c12bcf9fe119e144e7056f3f8ce
BLAKE2b-256 3720d2314751d0209860cd8aaef9634baaad9cc806cfc87bbb16f47fc85e4003

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: gco-2.0.2-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 797.0 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 b52809a48386909ac79bf24dea59e724bd45538c16c3d6e69820133bc7ad60cd
MD5 eb6ad6dd1baf2783a1e3f43791e4e582
BLAKE2b-256 cdb1edc22c0f2f64c9ecca903aba01d8a033e3226c8b7eb4afe6cfcc4dc7eff5

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 70fdff669f274e6eef1d1d7be1cb7f9c01160d90a27220046e6d3683f721908b
MD5 111bc0bb4f7b611abb23b03778a6713c
BLAKE2b-256 4da47cf4e9552929c57dcfd1567749f3b7b5a679eb2eeb144318a0ab034d4819

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 479d73b1f33bb8c3097bc2e3f39ff1e6df96f34b9302182b06a491d56e2c20da
MD5 87292c989bdf279fb883c18b9365729d
BLAKE2b-256 dc824cfd7eef5e66a13c0c58dd47567e885918b2a55f3f26fc37f331119e24a5

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 78b06ef75b54d1af21a7c8af0cdec226af97477c7cefe2a6aea40cbd56fc011d
MD5 5b322ae77a60f436383bb0cf69235157
BLAKE2b-256 9dcd2e6e98582babaf94f8f1ac56f94d5d1d7789afcd119803a529da4c016260

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: gco-2.0.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 216.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 30e8ea530f49ed8962db3fc040facf778d41d5169b77544bce63731924cbf6e5
MD5 2d311c684000b47f5f14050671cd1ce0
BLAKE2b-256 0485b755caeecc330e3dd3f4fa58c4a90d23ef7c8cd03d4edf41359a708f68ae

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp38-cp38-win32.whl.

File metadata

  • Download URL: gco-2.0.2-cp38-cp38-win32.whl
  • Upload date:
  • Size: 170.8 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 87957cabe96fe2c8f00e02a590be301c8269be7c79042dc4ac252982a6288623
MD5 a6895e21f23acef7bc488f1944b6b458
BLAKE2b-256 dbeb69e890a81973cf12d68208dfdc50d3f56bcabfc4a19040fa07d0149832da

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c5b038b322914baacc4ff2073b7039b5f9a284054b3986c1f004a14c170adada
MD5 7a41cdfc9e7918da5b7b1cd134355ed6
BLAKE2b-256 2d16402e44ab064f82db68863140fda0059aca1ca9cad3c80386c062b2013c3e

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: gco-2.0.2-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 796.4 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for gco-2.0.2-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0a3d526405074ce9e30b002662f845f05ff40235b23f8ec8923108a261c7adc4
MD5 4149f67dec862b22b0b7f3be836de8d4
BLAKE2b-256 d30fead460a03202e426e1754ff110e7f6987fbddcbd742701b65cc3039cd624

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3775f53e5cb55d038eacd80e8abc712dabd5ba47a6e7750e6113a82a3c66d651
MD5 06e9ba69a5edd85291a0747ea8226b4d
BLAKE2b-256 e901df559ce9b1f2fcdc907b2f8ee0711f34303a57384bb4eef8e4bb44c1437f

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7287495c9b7b218faca0f82ebd775d82b2b4594d01107da5918e9049e39b17e8
MD5 298c5cbcf2f05c7920a574c52105a644
BLAKE2b-256 56afed6badea5b61190897036dbf37dffe45be6132a7e3e466f3a828be1ae003

See more details on using hashes here.

File details

Details for the file gco-2.0.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for gco-2.0.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1c8193c86e206acd89a4f01b20014cdeac8e38938fe15f66b7ed6b2c6f5c27d3
MD5 fd8fa710326a17c203366a636901e135
BLAKE2b-256 08fcba2960f8a1e5dfbf48e5105150725ea4e5788f5940023c0d17a042e57b24

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