Code useful for implementing chia consensus.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for chia-network from gravatar.com chia-network

Unverified details

These details have not been verified by PyPI
Project links
Meta

Project description

The chia_rs wheel contains python bindings for code from the chia crate.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for chia-network from gravatar.com chia-network

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

0.16.0

0.15.0

0.14.0

0.13.0

0.12.0

0.11.0

0.10.0

0.9.0

0.8.0

0.7.0

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.1

0.4.0

0.3.3

0.3.1

0.3.0

0.2.15

0.2.14

0.2.13

0.2.12

0.2.11

This version

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.0

0.1.16

0.1.15

0.1.14

0.1.13

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

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

Source Distribution

chia_rs-0.2.10.tar.gz (259.8 kB view details)

Uploaded Source

Built Distributions

chia_rs-0.2.10-cp311-none-win_amd64.whl (1.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

chia_rs-0.2.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

chia_rs-0.2.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

chia_rs-0.2.10-cp311-cp311-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

chia_rs-0.2.10-cp311-cp311-macosx_10_14_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11 macOS 10.14+ x86-64

chia_rs-0.2.10-cp310-none-win_amd64.whl (1.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

chia_rs-0.2.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

chia_rs-0.2.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

chia_rs-0.2.10-cp310-cp310-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

chia_rs-0.2.10-cp310-cp310-macosx_10_14_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 macOS 10.14+ x86-64

chia_rs-0.2.10-cp39-none-win_amd64.whl (1.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

chia_rs-0.2.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

chia_rs-0.2.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

chia_rs-0.2.10-cp39-cp39-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

chia_rs-0.2.10-cp39-cp39-macosx_10_14_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

chia_rs-0.2.10-cp38-none-win_amd64.whl (1.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

chia_rs-0.2.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

chia_rs-0.2.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

chia_rs-0.2.10-cp38-cp38-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

chia_rs-0.2.10-cp38-cp38-macosx_10_14_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

chia_rs-0.2.10-cp37-none-win_amd64.whl (1.0 MB view details)

Uploaded CPython 3.7 Windows x86-64

chia_rs-0.2.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

chia_rs-0.2.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

chia_rs-0.2.10-cp37-cp37m-macosx_10_14_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

File details

Details for the file chia_rs-0.2.10.tar.gz.

File metadata

  • Download URL: chia_rs-0.2.10.tar.gz
  • Upload date:
  • Size: 259.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for chia_rs-0.2.10.tar.gz
Algorithm Hash digest
SHA256 6938aefe6c811255f05ef629c0dcbaa56b9d065a7bfa331cdcbacd0def01de4a
MD5 c1b2dab99b34946e9f4320e5cd8d1f68
BLAKE2b-256 3dfa425644944b37bc567f55f6d1ed9b06dabb2150e57f5f172d5a18329ad2dc

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp311-none-win_amd64.whl.

File metadata

  • Download URL: chia_rs-0.2.10-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for chia_rs-0.2.10-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 1fb075c6b094c4e3a56a54cb1b414704f4ba70ad6556d0857910bc97fcf739c1
MD5 59ea0cc464b40127943cb314b55bfc07
BLAKE2b-256 108ece141da439253840353acdcea06aada9782fcc77d5a71c8b23cf5bc54d43

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 72e2a016611132bbeef5c23988c7c1cde15395cf14764bd6bfc132a00ffff495
MD5 183d3ff07af5beb2cb38e65be9d55011
BLAKE2b-256 d2b0e42408e9e5ea1754dc231f9549eb10431933044179d48560bf4b8abdd99c

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 32cff635f6fabcad65e22ae08c13501b6f68befb34f1c2e24423d6637487dceb
MD5 a0e2b5c989207be8545246fc0fc17989
BLAKE2b-256 e0f13efde59fd88166ad321c0bc8aa66d80be35bfea20aa685e2ae8506eee40c

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6926747d214ff2a0729ae4087b199069252b0539b532331cdbb4aecd5404445d
MD5 2c9c08b5947b3a33709a45142db85b82
BLAKE2b-256 bb4b39f8de890b9234ad4da74c7ea8a50b9cb22e1a97d939466e4c7b08c03bbb

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp311-cp311-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp311-cp311-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 c1a06c6d1597255926a84e53e165e2a0b21c6dcd769372ab2433f1443ecfce71
MD5 5ae0a547bd4533b8277d76ccfbb8df95
BLAKE2b-256 ae8d3a2401767e1d92732bfba2b97389d876ef9518a4cf0061cdd035fab94e48

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp310-none-win_amd64.whl.

File metadata

  • Download URL: chia_rs-0.2.10-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for chia_rs-0.2.10-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 1c785e7a99d971bf96eee0acfc8e5dfe6f0ea851fb49e52489269718a3e5287a
MD5 47ab5c1f0dfcfab52fd1babe281efb5a
BLAKE2b-256 fefb0e8f1e033d674bf9d143980256e97ed234cd4f770d74c8ad7df803c0b3fc

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0841ca60b9cd3f0ca4c810b3f757a38105e28d42d5285fc0658f6aeed71d23e5
MD5 4518c271930575996a913aa119315586
BLAKE2b-256 a4a6d3c2e88623bbba9ddf5f0169c0470ecda5fd0f0a5e27235ba3ebb5f9dbe5

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 89c48f362b0a5381f951b02b23becada1d3bf8fced9109d04e4c037482e4d50a
MD5 df3fdf8c44c5fa6f5eccb60c90c7f869
BLAKE2b-256 405fd4ec4c678dba357e5f1c2b8383f9b5438732241f319d689e73f431e7f2b4

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3c4f7501aa6475d8241931827dc7ae34e05fefbed7cfd8f990ad8feafe1c7c75
MD5 839960dffdcc5f39537bebe0ca56fd99
BLAKE2b-256 83146e680d0e7e38e490f2603220e9cd8aaaa3112472d787f2be94610dc0f116

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp310-cp310-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp310-cp310-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 a2f744abbad3f8290445c3e7c3769e66a7a8fda8fee25c042826288d1b1071a4
MD5 d212913b4936c1f4cfea3d07ca656271
BLAKE2b-256 486ddaa44acb85af48bf23ca470338b35ca2fb9347dbb29e3e03d41375d4bf14

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp39-none-win_amd64.whl.

File metadata

  • Download URL: chia_rs-0.2.10-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for chia_rs-0.2.10-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 7a8fccd14f3749a1c76587f9f05c8072ca832dece8f13c35dda7edf90c7dd388
MD5 590683215d45d3f72cd75bb5402b8ee3
BLAKE2b-256 72e15e7e2513f4070fdbd3ca05ec83b09980a6114a3031399ed1781f66156a90

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 385b1d015fd0563c766ca78b8e988839bf2f67583d80bad39c1ebb816c67b391
MD5 23e335b8a5f4e9a2757ca1a519ec257a
BLAKE2b-256 d279d54bf98b79c84e44cfc58b3f6e7d93d1e6894248a4d13e718ef6efbfe40f

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b1329e64ab1b70addc4e9c0c67a82b0423d4b1fe58bb700cfb2d7f20a653fbfe
MD5 cb75c32f97cf7c598e44023ff562297b
BLAKE2b-256 540327f6d0daf4aad3a7ee7c6fbe098b06ad229adcd9d84a2d39423ac5cd9bd2

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0babe91bb5122f5f3bbc0f35ca7f70fa3adbf11b33b51d6498d94a3dd0505043
MD5 50c5c225c119733a2d47bd85db783d0a
BLAKE2b-256 97e9cf783b18567936433cf2b4d768779d95530b679b1d69b01184c3bf11d1cb

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 70405520a4b3c636a769197007b164201118794fde6433f2113f8bd8d6768d58
MD5 255ddd5e5f79d50fef01fa115cfcd723
BLAKE2b-256 d87bfe73453c7071b03ea1c5f7de44beff88b1f19ce6ef24a61f4591d2a789e7

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp38-none-win_amd64.whl.

File metadata

  • Download URL: chia_rs-0.2.10-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for chia_rs-0.2.10-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 3c98f0cdfd1b392e67f6c46299f0f6d56bdb97cfa12a9f543af11145832d0b70
MD5 c3ca05032870a53455877b33c089c56d
BLAKE2b-256 e24958aa3c2327b40be767dbc4fc3cc2802a71c767a822aaf6b3f1bd879a0677

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 555f5a4ca61a4010c5c137a44c4af16a93a508aaa25a380b83db676baa316b1f
MD5 cde9ad25af3d1e484abcdfbdd00016cd
BLAKE2b-256 67a324849a27d920a1580dc44e2c0f6369277d868fa389f0cb6ff2e09913410a

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 18b48510915010409865ecdd392c298c53c49501b451fe8c779c23f1d466d54c
MD5 e635bc6e25f655459b05687bfe0b8046
BLAKE2b-256 bc3e1d3fe9f25ceaaf6268edadaa3cbbd78a57929f203b2e4b0645f176baae39

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c858de762c098168d2d78515f46571651df637906bf2092f68415752db4cc150
MD5 7293b23adcefbca35511f7e7920222ab
BLAKE2b-256 49104297883ac64673373e3c79a7b07c593e71f4d51424f5cff77cdc007e4f21

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 dde6b828ab5b55d83167c7ea7c3572f3fe486e0691daea0cb727ae022712ff94
MD5 fe2fc64a8d8cd2d84e104486efbbfed6
BLAKE2b-256 0821fb6176935ac7584721210a8d82a30e097db4dc482e205bf3426d813ee1c4

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp37-none-win_amd64.whl.

File metadata

  • Download URL: chia_rs-0.2.10-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for chia_rs-0.2.10-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 a20fa8341895b325232f56280d6a295e5dbd5bf600741de09595bc7be477791d
MD5 922680af4496e024c09ca6dd1fd69877
BLAKE2b-256 96b4a774f26776962618cbdc6cf79036f58833d1207bfd7f81c98fbfa7a9cbb2

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4a947001d7dc6de2171a6de09a588f53daa68927d18c9a33a371763c28055e7b
MD5 8a291fa99a12d4b6f407ebf29f94fcde
BLAKE2b-256 3800b0170a06a78083b9ed61e67282c3a2b99377fc714805ad7f4e631c998292

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3d0711e51a756c62fe74cb38b34fba6e6f25c264559677f8e477abb8ec555dfd
MD5 4b6b316db9127f27b83bf87a838eab0b
BLAKE2b-256 58812d297853a8792de503a579c603fd882fe72ffe9685d4dde59a2a752da7b0

See more details on using hashes here.

File details

Details for the file chia_rs-0.2.10-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for chia_rs-0.2.10-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 8db7f03193a9b9209f983d249f77c4ace625350074aeb8369f7f315ff31edebb
MD5 1403702eb912d7180e031c0f1e6a77a2
BLAKE2b-256 7c5016fe8aff35177f0db6e706d6c2fc14bc3568b2487e1873378ee17ba7cdb0

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