Skip to main content

A Python Library of Curated Disparity Testing Metrics for Use in Real-World Settings

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 Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

solas_ai-0.2.1-cp310-cp310-win_amd64.whl (682.4 kB view details)

Uploaded CPython 3.10Windows x86-64

solas_ai-0.2.1-cp310-cp310-manylinux_2_17_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

solas_ai-0.2.1-cp310-cp310-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10macOS 10.16+ x86-64

solas_ai-0.2.1-cp39-cp39-win_amd64.whl (683.3 kB view details)

Uploaded CPython 3.9Windows x86-64

solas_ai-0.2.1-cp39-cp39-manylinux_2_17_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

solas_ai-0.2.1-cp39-cp39-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9macOS 10.16+ x86-64

solas_ai-0.2.1-cp38-cp38-win_amd64.whl (728.3 kB view details)

Uploaded CPython 3.8Windows x86-64

solas_ai-0.2.1-cp38-cp38-manylinux_2_17_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

solas_ai-0.2.1-cp38-cp38-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8macOS 10.16+ x86-64

solas_ai-0.2.1-cp37-cp37m-win_amd64.whl (2.2 MB view details)

Uploaded CPython 3.7mWindows x86-64

solas_ai-0.2.1-cp37-cp37m-manylinux_2_17_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

solas_ai-0.2.1-cp37-cp37m-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7mmacOS 10.16+ x86-64

File details

Details for the file solas_ai-0.2.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: solas_ai-0.2.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 682.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for solas_ai-0.2.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 08b26fa2127661b246f4199fccec0176de81c329922631eb94d2783f7f550d50
MD5 57e89d8ab9d1067ae4ce0084a4275cd2
BLAKE2b-256 924c92a9e927916e26ee80ee9154ff176786588b3272c9c0847767e46b8d01a9

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 818824782ba27ae96bcde9a9790ba9b4d887a54b7696e9f342aad379635b2ea1
MD5 665a54410884fe6fda04b24715cf5e56
BLAKE2b-256 a8f2b3000f020a16395fd5e8691dbbb7dc6dddffcc734c54c591e02b51d3c39a

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp310-cp310-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp310-cp310-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 0dd6fe74bedcc23cf2fd3b558f963db0af494dabb8059b3da901c426b5f8b9aa
MD5 85a097149dc0b2459360b5053e9639c5
BLAKE2b-256 8ba736aa29dd43385a5c8543e0525276604ac2db8c6cfec658f79227ebb49be3

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: solas_ai-0.2.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 683.3 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for solas_ai-0.2.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 dc7b5f3d405325e390fefaea681ec1abb8964f17b0fb0043f8cf2724c3b220b9
MD5 79e83ec95c2de4f58e6b9df1f0c0698f
BLAKE2b-256 e3d1e9b91ed4a0e51cdcf6b2b5a6417c08302c3b8b7c74c7045dec28f179aa2b

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 58e7a72faeaa13f019af5a5137ed41fa8a567c800798b22c0a000882d095ffed
MD5 49f4ad0f48a3df6ebd71d2142f62d78c
BLAKE2b-256 02e8ad96c88d8339bf45a08548ab52e8ab003033042e60d8a710dc6ce602b48e

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp39-cp39-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp39-cp39-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 a405ff7e7927720c044560acb04853da62c4d6f92778e162a8a758e336bfc3d9
MD5 bf36cfcb942227cb78fb7833a0cf9f0a
BLAKE2b-256 f2733bb18a39f01ddb13cd8f59da28ed90c0d80619394c4a8bb4703b8f4c001a

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: solas_ai-0.2.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 728.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for solas_ai-0.2.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4527bfc12691f665aa3d266aa03f67ab78901bb206f20c0e17d676aecb7ccd20
MD5 961ec9fe37b4ad02f807d412670901a5
BLAKE2b-256 68914147de3d9d81170c80689d0515252f191a0fc844b3c6ab26463074a83b7e

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 a33205be07a00820c7757d8c32c398ef5499f494fcd982eadaad188821858d41
MD5 bb0ef97375ea9200089d45f7ecc708a0
BLAKE2b-256 4d54c83efbb7993ab015700c3b176e2795443aedc10cd6ee0b78c0d8b8dd3200

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp38-cp38-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp38-cp38-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 9990b033b4430323eacf7ff99e885b4a8efab55541326eb4737cde8bd52f9cbf
MD5 83a53434e24da00cf052cca971cc2ca8
BLAKE2b-256 65853e8d261f3ae5e83828a3914e713f0ec626f0f7c7be0b570efde1b54930f5

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: solas_ai-0.2.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for solas_ai-0.2.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ddbba83cf7eb5843873a009521801c3a90170c6b4a1cd2c70286d220891aec8d
MD5 fd2f140f822cc6996daf46f932a78183
BLAKE2b-256 5572daf411846f13c87b73d6e95f3f6ff6e2f031838a0d3584aa959ed4ef9507

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp37-cp37m-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp37-cp37m-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 2fb289c06e6b1a88a0760ca60264298377ac0a4da1006ce13550a316aa01e80e
MD5 67a8849b791c5e5654724fd30f4a0ec5
BLAKE2b-256 5a620151de3fe51f08851791353e63706f473dd8d2145e789dd2b8afc92a2fb3

See more details on using hashes here.

File details

Details for the file solas_ai-0.2.1-cp37-cp37m-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for solas_ai-0.2.1-cp37-cp37m-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 3a74ec12464be9ef2888cfbaff52f682eeb7a28eb062084c6938cdc5a304c62e
MD5 6577efaaf3bcc2e84095307208ac441f
BLAKE2b-256 95d09335b411bf133b6cac60894af6aeb8157e245789f3dc439d2240b6ca418f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page