Skip to main content

Native C++ extensions for pybrid-computing

Project description

pybrid computing native

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.

pybrid_computing_native-0.12.3-cp314-cp314-win_amd64.whl (1.0 MB view details)

Uploaded CPython 3.14Windows x86-64

pybrid_computing_native-0.12.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pybrid_computing_native-0.12.3-cp314-cp314-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

pybrid_computing_native-0.12.3-cp314-cp314-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.14macOS 10.15+ x86-64

pybrid_computing_native-0.12.3-cp313-cp313-win_amd64.whl (977.1 kB view details)

Uploaded CPython 3.13Windows x86-64

pybrid_computing_native-0.12.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pybrid_computing_native-0.12.3-cp313-cp313-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

pybrid_computing_native-0.12.3-cp313-cp313-macosx_10_13_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

pybrid_computing_native-0.12.3-cp312-cp312-win_amd64.whl (977.2 kB view details)

Uploaded CPython 3.12Windows x86-64

pybrid_computing_native-0.12.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pybrid_computing_native-0.12.3-cp312-cp312-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pybrid_computing_native-0.12.3-cp312-cp312-macosx_10_13_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

pybrid_computing_native-0.12.3-cp311-cp311-win_amd64.whl (975.2 kB view details)

Uploaded CPython 3.11Windows x86-64

pybrid_computing_native-0.12.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pybrid_computing_native-0.12.3-cp311-cp311-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pybrid_computing_native-0.12.3-cp311-cp311-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

File details

Details for the file pybrid_computing_native-0.12.3-cp314-cp314-win_amd64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 68b0b1fe2c17c7c0991902b66982441da29daccdda7d5b449cb98cd3763cf379
MD5 4a62464de25732d94aab036b2020f4b8
BLAKE2b-256 b0d22daa07b2a7364b26ef2f7b199f576565089f12e5d80a131f4fd0d858ab66

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 6abd84e1bc6fd8b910e19f38dd99bd333533cafede78b2ad807444e0fb97d057
MD5 cb95ab9fb8f89d378edf308afa8911bb
BLAKE2b-256 7ef0d3ed595767dc3138a292ba84fdfd679beb05f48ce190b7ea5a6bb1b1799e

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8d22d8c7046baf3e73dce9a38c20d2085620c53f4c56c36487ed02975295f0d0
MD5 d2bc3af5b44160d747e0be4581c9f8c8
BLAKE2b-256 f8d962207aa6be63e68c5e68f47e0a9ea35dbbd3e1b8d40b3792aebd7452d99e

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp314-cp314-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp314-cp314-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 186e19596f65e5ba7739701d4a210f78df4364e0fd33b46ca39621ac46bc9d18
MD5 c8fc4df7471f1d1cf84c1f49d86e7d29
BLAKE2b-256 889fc6d2a8b5d9fd4fe8a1a2deff33876a7699d19c6c28700a292a6f84e301aa

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 92c104d3c0d4d47acbe47b14b146e58a8ecede174cabb44117a26e8044264411
MD5 f7ddfc1dbc7383296bf507d539584d0f
BLAKE2b-256 b1ca4b742843d6c074ec91bab253f4b3bdb75bef70b39233eb18e25cbea30c58

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 80df0fca68b98dd9174c994b973f8d11c5cf6563e5437ad38c610a53ed6b173f
MD5 806deb983b61c13f41eba14c48adcd14
BLAKE2b-256 2835a830928e1cd79c2ffd1b7c53f764338583938e06f01770b7b78feca8458d

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 70deddabcba83bbc79a9fe6b6460fa0be8f4661442fec0dd33f0f481de38d303
MD5 ac98f6fa34c3547d1b32af9cabcb8bc0
BLAKE2b-256 bc949d33539fe99130f51542adb1e71fa6d8d50cdffb707c21055d03ebb2a239

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 8f7d191fd866c2d2e0e0c6d6a01f78bbc72f31d88f194e564a42e055f0f27e86
MD5 1250fdc2dd8e18345c3f8f1fd5b2a141
BLAKE2b-256 4b2c3e054ee384780980518102f9e77c53ee248ae198860f8bd2245ba97ec515

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 db9c41a68e1ec24e0dd3d30b8519de4633750ca7334134844e43f6d5899baca6
MD5 c77c1446caabc71ec64081fe0d154aab
BLAKE2b-256 2635ff886ba9cdd5d9e3e8485d49a636f38e340326bab3e14ee5d9653bdccee3

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4599c4866027b068dbc32e8799ec0509ca719cefa9977cfd09cecb86f53fe8b2
MD5 a8406e338623f5cb812f618a6232ba04
BLAKE2b-256 8872c6951cc3f44505c3a3526d316a38d49b252b94e240730b7ab9977e2d4106

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 50760b40b0b9d6dc59d7ebd7eaa35efe55e224cdb9087fdca57ca3f39c646e09
MD5 8ee5adf62a56341da8070d31226bafed
BLAKE2b-256 91a09ffc9fdd8ea728f5cdc8fb1f419c90da407452ffabcb5c46556436ddb7a6

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e3bbe2a741fc31ead28724694ce3236327e5855327bbad8bcc22b0277570d227
MD5 eede349b0669969a011e6cf71727f1d4
BLAKE2b-256 2436c37ec0dea5a3bf8eef90445c25b6f951367c491a997a1cd504ca2a477516

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4db9605853d2287fee09a2c3c383fd3dc69284bb1ec757c62e5ad4c4bf07ffb6
MD5 37050f365b7ad53d32d0cb09ec379bc3
BLAKE2b-256 a07749896c0c69a56bdf4268b39e6850878c9757c6b498c6c4f876526dd04218

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 47c4c3c7a7e13d5ed1b61183c85f9cd1d044a4386968d4c7c6c04ffd2dc6e00c
MD5 bee16d7f6772a4e02889792850a4d2b4
BLAKE2b-256 a1b88a0b887da61ba1621d3eb94028db264ab03c1115283fbff687dcc6953e17

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 decf7284c1cb5cc34e0bba01c5ecf453578aa7b215a566bdf2dd1adcc3e2fee7
MD5 e86c80a1d6ddc838dbd57032a698ec0c
BLAKE2b-256 d706b53b83724d2f1159c93fd04dd4e59418c50fe6281889e9e24e928f52c1e0

See more details on using hashes here.

File details

Details for the file pybrid_computing_native-0.12.3-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybrid_computing_native-0.12.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 05346291ac5c9b66b517c7f5a719da1013cf16e60d9ee626b7c24ab1d09dcbfc
MD5 ba209fd07146607cdcbaacb355f5e4ab
BLAKE2b-256 7bfa6d09d4a85bf92b857c6933f779ac482a670587d561f42354c321e36efc90

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