No project description provided

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python >=3.7
Classifiers

Project description

semsimian

Semsimian is a package to provide fast semantic similarity calculations for ontologies. It is a Rust library with a Python interface.

This includes implementation of Jaccard and Resnik similarity of terms in an ontology, as well as a method to calculate the similarity of two sets of terms (so-called termset similarity). Other methods will be added in the future.

Semsimian is currently integrated into OAK and the Monarch app to provide fast semantic similarity calculations.

Installation

  • Set up your virtual environment of choice.
  • cd semsimian (home directory of this project)
  • pip install maturin
  • maturin develop
  • python
Python 3.9.16 (main, Jan 11 2023, 10:02:19) 
[Clang 14.0.6 ] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from semsimian import Semsimian
>>> s = Semsimian([('banana', 'is_a', 'fruit'), ('cherry', 'is_a', 'fruit')])
>>> s.jaccard_similarity('banana', 'cherry')

This should yield a value of 1.0.

Releases

As of version 0.1.14, the semsimian source is released on GitHub, with a corresponding set of Python wheels released to Pypi.

To trigger a new set of builds, first update the version number in Cargo.toml, then create a new release.

Wheels are prepared for the following environments and architectures:

OS Architectures Python Versions
Linux x86_64, x86_64-unknown-linux-musl, aarch64-unknown-linux-gnu, aarch64-unknown-linux-musl 3.7, 3.8, 3.9, 3.10, 3.11
MacOS x86_64, universal2 3.7, 3.8, 3.9, 3.10, 3.11
Windows x86_64 3.7, 3.8, 3.9, 3.10, 3.11

Troubleshooting

Building for Mac ARM M1 architectures

If a import semsimian results in a ImportError warning about incompatible architecture, try the following:

  • Install conda. This guide may be helpful.
  • Set up a virtual environment with conda so that your Python build is aligned with your processor architecture (in this case, ARM). Try something like:
$ conda create -n myenv python=3.9
...setup happens...
$ conda activate myenv

and then proceed as above.

Code Coverage via Docker

Build a docker image:

docker build -t my-rust-app .

Run your tests inside a Docker container and generate coverage:

docker run -v "$(pwd)":/usr/src/app -t my-rust-app bash -c "CARGO_INCREMENTAL=0 RUSTFLAGS='-Zprofile -Ccodegen-units=1 -Cinline-threshold=0 -Coverflow-checks=off -Zpanic_abort_tests -Cpanic=abort' cargo test && grcov . -s . --binary-path ./target/debug/ -t html --branch --ignore-not-existing -o ./target/debug/coverage/"

Get Coverage report from:

open ./target/debug/coverage/index.html

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.2.19

0.2.18

0.2.17

0.2.17rc1 pre-release

0.2.16

0.2.15

0.2.14 yanked

Reason this release was yanked:

error: linking with `cc` failed: exit status: 1

0.2.14rc3 pre-release

0.2.14rc2 pre-release

0.2.14rc1 pre-release

0.2.13

0.2.12

0.2.11

This version

0.2.10

0.2.9

0.2.8

0.2.6

0.2.5

0.2.5rc2 pre-release

0.2.5rc1 pre-release

0.2.4

0.2.3 yanked

Reason this release was yanked:

Not all wheels uploaded: GH failed midway

0.2.2

0.2.1

0.2.0

0.2.0rc3 pre-release

0.2.0rc2 pre-release

0.2.0rc1 pre-release

0.1.20

0.1.19rc2 pre-release

0.1.19rc1 pre-release

0.1.18

0.1.18rc2 pre-release

0.1.18rc1 pre-release

0.1.17 yanked

Reason this release was yanked:

Output incorrect for allxall pairwise similarity

0.1.17rc6 pre-release

0.1.17rc5 pre-release

0.1.17rc4 pre-release

0.1.17rc3 pre-release

0.1.17rc2 pre-release

0.1.17rc1 pre-release

0.1.16

0.1.15

0.1.14

0.1.13

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

semsimian-0.2.10-cp311-none-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.11 Windows x86-64

semsimian-0.2.10-cp311-cp311-musllinux_1_2_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

semsimian-0.2.10-cp311-cp311-musllinux_1_2_aarch64.whl (2.1 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ ARM64

semsimian-0.2.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

semsimian-0.2.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

semsimian-0.2.10-cp311-cp311-macosx_10_12_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

semsimian-0.2.10-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (2.9 MB view details)

Uploaded CPython 3.11 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

semsimian-0.2.10-cp310-none-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

semsimian-0.2.10-cp310-cp310-musllinux_1_2_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

semsimian-0.2.10-cp310-cp310-musllinux_1_2_aarch64.whl (2.1 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ ARM64

semsimian-0.2.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

semsimian-0.2.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

semsimian-0.2.10-cp310-cp310-macosx_10_12_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

semsimian-0.2.10-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (2.9 MB view details)

Uploaded CPython 3.10 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

semsimian-0.2.10-cp39-none-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

semsimian-0.2.10-cp39-cp39-musllinux_1_2_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

semsimian-0.2.10-cp39-cp39-musllinux_1_2_aarch64.whl (2.1 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ ARM64

semsimian-0.2.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

semsimian-0.2.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

semsimian-0.2.10-cp39-cp39-macosx_10_12_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

semsimian-0.2.10-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (2.9 MB view details)

Uploaded CPython 3.9 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

semsimian-0.2.10-cp38-none-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.8 Windows x86-64

semsimian-0.2.10-cp38-cp38-musllinux_1_2_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

semsimian-0.2.10-cp38-cp38-musllinux_1_2_aarch64.whl (2.1 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ ARM64

semsimian-0.2.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

semsimian-0.2.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

semsimian-0.2.10-cp38-cp38-macosx_10_12_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

semsimian-0.2.10-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (2.9 MB view details)

Uploaded CPython 3.8 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

semsimian-0.2.10-cp37-none-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.7 Windows x86-64

semsimian-0.2.10-cp37-cp37m-musllinux_1_2_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.2+ x86-64

semsimian-0.2.10-cp37-cp37m-musllinux_1_2_aarch64.whl (2.1 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.2+ ARM64

semsimian-0.2.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

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

semsimian-0.2.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

semsimian-0.2.10-cp37-cp37m-macosx_10_12_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.7m macOS 10.12+ x86-64

semsimian-0.2.10-cp37-cp37m-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (2.9 MB view details)

Uploaded CPython 3.7m macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 ed246c975e5246fa450dcbcf54ab3dea181d07dcf95c668f50e1ca201cdb95e9
MD5 81ab7f577bc6a751a67eddf4aca19ab5
BLAKE2b-256 6d331e0d5e9c6190de1672feb332c1cecda01c3eeb3ff530630349d7aac2646c

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 89715d1cec132bc2878790c797b804c1f6fa81821fa44cb6599be0b95f542565
MD5 f1b7995a957ab7f90f9f8de477085ed7
BLAKE2b-256 45986aa48086156de3bbee5dea46eab6f8fb35c662573569fe896a18f9693dca

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 3cf744bae7b7d140444675b64a87d489576e5c830995f2e44e2fd24a607c07fe
MD5 759457c99cf76274966f2e323b92f425
BLAKE2b-256 243c1d4faf0ce9bcf96759cd47d4dd161ca85a2b9ba673c177ea54bffb30870c

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6a75873c8462b0d7699df137949ed34ecf580d0dfd99eb1a6371be5782f0b2bd
MD5 2b840767d3c8df80b932d5650f71cd79
BLAKE2b-256 8bc1e5d81afeebbcc075ed18ce04dc3773c3e02bcff29af4b3a6b896103ffdcf

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7587ded25a49d2fcd9accb96433f87187c666d06ec2c44f6380ff635e7470a4c
MD5 dcfe9f4ea5ff4ddb47977dce16b3eb17
BLAKE2b-256 bc7040835e5ca6f236c295554f88805e4883f804d2aeca078a99816e57b7a0e0

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 21bf4119b443b33cbac06d7a24265083c6fd7b029329340571bc1dd7571dfaac
MD5 c6c61aa56fa681c863d62f9aa1a6e8f8
BLAKE2b-256 48d0b8c1b66c621a2b49ac53623903f137f2086a7ca78e719ee728e2aefd085a

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 d2d17c15f1c74eb429872a01a58d1d93d5daac7f5e9470ef5eb1551e39def862
MD5 df2b3077bfbc872be85e15e19f4d54bd
BLAKE2b-256 2a152d418323e7313c7d054f567dc1f3ca0a46e1ab2184bcda03e0d77bad6996

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 550505c4f6ea380c9cab2b37542081d9153a73a9209ff4638f813f3b8c078b35
MD5 dccd539a0113e40d40f8e90fab29058b
BLAKE2b-256 56453681ddb86aa20da60e9fc2b346c6e763c2a47cb1c3f5b5fd89f05702e7b6

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d31652d668e104ab0df9ca5a1d4534f6f2c59a9abed260e2391c4ce7c88065d6
MD5 bc4f6a27e42ef7d41efc69b215bf67f6
BLAKE2b-256 3d5ba7b99ea0957fc9a4c941e9d2a14d69cd7b63a548e604218d3944de2d119e

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 e02832b628c2d143d76167bfe05035c90936f85e24d2bcd3b107ae2d79884d07
MD5 368c3e59d0c7115c11df4c42985c7be4
BLAKE2b-256 5d9e46a9e399fce8474ebe41a0e41a4bfab4c96c16b1f3b02f9a73d2b436dfc0

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 054fc65ce937912889738106de4961ac0ee96d3e033a9ba222ff614e2f3642b4
MD5 1996517c22fb97748e55905ed345382a
BLAKE2b-256 e137818c5d3042b26504d8a410f832c8a2cc97ca6b886b5c9c6f91f410de6d12

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0c5ed817e79bd1ec57b00b4c637cd5ead230d26335249f1133f471bc7b965a28
MD5 63273c859086ff9a8c6f6ee81ef6cec4
BLAKE2b-256 fab7a3073094ecaaf27ded77ec328dc64fff6c8e5ff05d89f2a20d6e704d9367

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 08aa3c25eae0fcd0409d523883b16e729782296fd95aa1c0b1b8ba61bfc43273
MD5 54b086ebbbe77185c814654eeaebfc3f
BLAKE2b-256 ddf15c7afc4ff894604514396038708c04b1642cf7cdd534edeefa7b65205ce4

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 b5a1dfc85e7086f83bbcf4d341149f517f31a2b32affccc28ce102b0dd4d2275
MD5 fae5ff251b906feb9473b01dc863dc33
BLAKE2b-256 9d5dfaf9fda2873deba16c370b8287a67c063e07c83a9857effba33018fb292f

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 7479880acf54a307b37ebba545f917731fc0229c277960a32d431aa8d28d2cba
MD5 9ea592177295cacd000a789d95d4add4
BLAKE2b-256 27c9da08af8df0bb5f6e936042bfaa87b19eb7337884e4dd6c9aceda5a4ae435

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 bdd7abb17463963ed03a2741a77ac5072aec29d58655d0edebb89ec24335c5fb
MD5 e7799e1a887900ae9915e275fd24bcf6
BLAKE2b-256 71f1e00d4e8c9d11f920af8d8f56d6338a666cac8f367df19249891aef6bf286

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp39-cp39-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 0c0a875549be8f43e4df819585ffa0eb27cd1b687a83d544961861f72820aa5c
MD5 ad8f80a7af2fae174aec2ad8233682e6
BLAKE2b-256 ffe5981c1b5fd224d450474654a1b7ace1f216e834fb8dabade63fa3a5cd53f5

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 99d27f2bad5faa9038e742f7d04eca93de3b45ffa4723a2aef6b633c52ff9810
MD5 c613be0cde769a06a94482ace4a1f861
BLAKE2b-256 a74a6e19ae34326f543df393e334146f5690294cc63164f27b8b7209e30a47ec

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2a0743cfe1975a80402895c474c4c9c8e0f1504a1f4c75c820b74ee4605778f0
MD5 67959719b3c9dc5d91a470766bc21eed
BLAKE2b-256 54662a7f766d612cc6608811da3f1718c19c45a325c6bff471f0e550dc5d57fd

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 084c8e96c2de277c4816331909a2f932c2b548d8cbf6dbb71e50f6868078cbfb
MD5 7734d133ddf33edc52352db64fda4232
BLAKE2b-256 380d84b7321a87dd729165664db21d69c8c506cdd842c9ff00999a21611a8390

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 2377e24fd0a853cce7a1fc283c5586b6abca4076c8b2e5b3923cfc72554a0525
MD5 d0979d1716ed8cc9c7c40da3981041b5
BLAKE2b-256 61775f46698c9497fac675425663331a2941d1c29652baa28ce4a102508cc959

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 14d69a1be646a09f9de2843e4921a1e8bd187f2a3be7784b377dc5eb3a2c40f7
MD5 7b8e4d5b637a1f7bd9327afdbf64e9db
BLAKE2b-256 f87be3007c671fcf8287a18ec2ce9b714ef0dea0ea3c33761177538c0868aabd

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e8fd6197a1d49a13b013c2d695554a1434f45d7a1565d20814165d8bd78adcf7
MD5 5c66554bc18714e5a4b7daccbe75e36f
BLAKE2b-256 e23181e2a5fc035b5ee1cd34a76624260edab212f72ef019a0d8a301a090b5b8

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp38-cp38-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp38-cp38-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 aa1da65df76a3def5af47c084db075d6ce985ca107dc4dcdc044ca97b0ca6ada
MD5 56e0a8f451dc7b79bddafbdfed67fe1e
BLAKE2b-256 ab98659aeabf4619733571e8e55d5e7c6763fa1bf4b271e6d32deb87368af930

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f8fffdec865c59c26c0ea4de3012aa9d98fddbffd5e67de5e8f51f19d9172212
MD5 9c2a5884088a69c83469f61f77bcf6d4
BLAKE2b-256 90d86eba2b599eb1ade908642604c2432a0e12b8ea398f9efac9e6fb00ac884c

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a3a28b1548652fac56704d94b9c6d53129faad942e14e1d1503bc441e01b4e5c
MD5 594a817e004b7af5ab1a4b5ee007ff30
BLAKE2b-256 caaed34b837065f0d3609668a7616443b1100ee7a8b1c3dc46a41b37552531df

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 883ac1dd623abbb013bae2c0a16a96ab633885a909ccd674bd2a0280e4c2aab8
MD5 36388132d398f6b497b3883eea251c72
BLAKE2b-256 7226c7bf14297562d1f612509e3aa78fe4c15161cf2f5278c02a12de54472528

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 42f0c73f81400b01caea77a33371d27b4e97b447732d092c39deb8ea44a093e1
MD5 ab3337fd15b9bcb9479b9f808c01a9a0
BLAKE2b-256 aade0e4130faca8d0e8d15d73377d4c0a13e6569ff0cc4b382c1599501132985

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 cc5bf92b72cf19f52fa95b860f03e77c6cb6030e5030451ab25a0ecb6bf956e3
MD5 05aa25b1d366e85cce620e91e8b8e679
BLAKE2b-256 9a4bedba12cedcc59bddcabfbc61909442762b3beb9f4d80ae814a406d22f473

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp37-cp37m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp37-cp37m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 c553316ff06d5bc315e3604ac23bdf1943dff39eb599b65d174341bf7f9c1770
MD5 72ff4dc59656d98b315fdb2375d056ff
BLAKE2b-256 646ffe64289bec54d6b71184c1ddd4e4f03aa9b9d506d5daa12c12e95749abb1

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp37-cp37m-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp37-cp37m-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 0ef2c1505b0fe0a4002d3a2dcef737aa7e6d3a13a190e7a39829a14ec4674d67
MD5 4994c9a7da6f4be0cb0928838d2e3391
BLAKE2b-256 fb55985d8550144eadeb8b22405d96fc5bdf1f75c6b355eb45aef58d7c558d80

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9308fd32022efe01b5abd75deadd7df37824b7fd505af1872539b80cb548918
MD5 627756f9c0c510df3aee25484c6a9a7d
BLAKE2b-256 175d8f427b8fc656b6f4314a0848152e2b40d3dd2eb93d8782022b1d116231cd

See more details on using hashes here.

Provenance

File details

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

File metadata

File hashes

Hashes for semsimian-0.2.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f1cbc55033a24254ce944ae4c132b3da23a36e9c2613d273e5073f6d170acd09
MD5 4a04b2e67f79c5dd2fa25705f275e54a
BLAKE2b-256 e8b768197983d2c49065545247244ac6ae35620aee730d461a081884561fdb14

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp37-cp37m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp37-cp37m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 86acb9abfaa9383e9868453e5fe799c0d392590666c1f8bc8d0a8fe7a01e33e5
MD5 6f6ce4201008d643a2124d0154a6a184
BLAKE2b-256 311d6ff79fa1da2b9a08bd9e657c63ea80971758ef585adf3dd34200c96bd25a

See more details on using hashes here.

Provenance

File details

Details for the file semsimian-0.2.10-cp37-cp37m-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for semsimian-0.2.10-cp37-cp37m-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 343dbb774332dbfd62b144c37b134efa76cb89ac7bb1fe6a393329000e2b9fb0
MD5 ca6085cd8c4436ec5320f37f1847d3cd
BLAKE2b-256 28fd15ab5fb7770446b9311db6203dd880e9ffc2ea338695de10767a5f3ebf3d

See more details on using hashes here.

Provenance

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