Skip to main content

No project description provided

Project description

Phenolrs

Running/building

Required:

  • python
  • pytest
  • rust/cargo

Build

Build using the maturin python package - can install using pip install maturin.

Dev build maturin develop

Release build maturin develop -r

Tests

Rust

cargo test --no-default-features

Python

** WIP - assumes dataset loaded in local ArangoDB instance. **

Requirements

pip install pytest arango-datasets

Python db setup
import arango
from arango_datasets import Datasets

client = arango.ArangoClient("http://localhost:8529")
sys = client.db("_system", password="test")
sys.create_database("abide")

abide_db = client.db("abide", password="test")
dsets = Datasets(abide_db)
dsets.load("ABIDE")
Run python tests:

maturin develop && pytest

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

phenolrs-0.5.4-cp312-none-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.12 Windows x86-64

phenolrs-0.5.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

phenolrs-0.5.4-cp312-cp312-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

phenolrs-0.5.4-cp312-cp312-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

phenolrs-0.5.4-cp311-none-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.11 Windows x86-64

phenolrs-0.5.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

phenolrs-0.5.4-cp311-cp311-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

phenolrs-0.5.4-cp311-cp311-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

phenolrs-0.5.4-cp310-none-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.10 Windows x86-64

phenolrs-0.5.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

phenolrs-0.5.4-cp310-cp310-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

phenolrs-0.5.4-cp310-cp310-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

File details

Details for the file phenolrs-0.5.4-cp312-none-win_amd64.whl.

File metadata

  • Download URL: phenolrs-0.5.4-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for phenolrs-0.5.4-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 33bf760de6b8ffd5ee4b818efb3f45e156fbf23c1021310de27f6c453f7857d5
MD5 3415aa1be74b1807c6ba0c390b4206f5
BLAKE2b-256 c7d853399dd262b59ff687d46d82e843488d8b19ffe1854e9f49758a0a36579b

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6e3b7a32a7c486c21b2728d29ba725bdda27bbd4a86259c81a5437852f8f7d54
MD5 368d3cf92e24bda775901a6d292ed61a
BLAKE2b-256 42afa780a2b5d1a5c5cbe16f13d968c9feec0b9045ea2284a1ea002b912d2c13

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0d5cd981f33df2c8a463967419d882ee365ad6235f66dbb8558a5d40d233bf88
MD5 6f43a617c1069a74e261d725299a4d76
BLAKE2b-256 e879fa45bbb4ecb47a3a9ad8c207e5b786ad4550edb79dac547f539c5dae0b6a

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 4eb21fec4fb56c5234ed19a9eb6e9bcaaabd90d41b77054a33714c8cbcf90d02
MD5 2995949eeb7bdc05596d10ccd6a588e3
BLAKE2b-256 3c613df448835614817e9194dba5dac7411eb9c4c98351624e9590d4328e7682

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp311-none-win_amd64.whl.

File metadata

  • Download URL: phenolrs-0.5.4-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for phenolrs-0.5.4-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 691b1f3d3d9a57f3b77d52062a90ed043e5353bebadb7c3901f4741ac8c11eaf
MD5 a0679eaed7582e10d7de61ee2566a6d1
BLAKE2b-256 a14c93b60d170b352446cd1a629acc35d8a1eb8cd8669e622fdbeebbf29a78ee

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 24cadf59fbec8a873a6330bdc7bec3ee0ea3adf43df5601e5751ac6903d6aff9
MD5 0894f15ced48b7b8ffaf2b8f1caec64c
BLAKE2b-256 0da96f687033435053c102a4067a2f68c5f2aa685ed771cbc29e58a3094139d8

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 029acc7c755d2afb4cb0bed17fa18622283c66cd7eec0a9e071778b22e20a3fd
MD5 bcdbcec38ae2a57707d46f2fea2a99b3
BLAKE2b-256 263565eacd03b401537dafa4125285c7f470ad8af7484536d77cccad859046a3

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 bfd4706eab7ddff80b936bf11770ed87c7061e97edabbed36dfba6406a797739
MD5 a4cb87e13fa0f791a00cecceb7b719a0
BLAKE2b-256 351b35558528e2f598099bbc210151724959594a84621336fe1a94691e97758d

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp310-none-win_amd64.whl.

File metadata

  • Download URL: phenolrs-0.5.4-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for phenolrs-0.5.4-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 aa0f72e93ff27982cf84dadd4dc5023d151a9cc797ba55aeaa5b92d34fec1f53
MD5 ffc0faec61a91a7ba8228aa4c65888e1
BLAKE2b-256 b971d9f6bc9385018e9c67384a687175123f127f27f0e2004bad4b385a8a5e53

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5cb3444edca4a7049b222b22b4c30d5ffbfacdb68f416526740dd1e039133e74
MD5 3f3b0e06acab9fd1692f68710fa6e141
BLAKE2b-256 0c10486b93b7e2d208d87b0840deeced25b3ceda55b0f5d7195b10dcb49c1c92

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f0afcc8bf4a889a9c4a252bc8a4ecba022b8d5c4818bc244316a28e739155f72
MD5 3435a4cb2ff22be5311255e3555e6936
BLAKE2b-256 a6880b52925480527ca34fb6a3312475131e23f8f0a0f91db143b7187e797c34

See more details on using hashes here.

File details

Details for the file phenolrs-0.5.4-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for phenolrs-0.5.4-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 cf4e7ee9d8763441b17f2f83048fa881744d3c5d2ef2bde7266a003d03eedcdd
MD5 4355be965391adab0d72960d5f59e009
BLAKE2b-256 9fb92be6c7d5c33398e046a067acda960fb7e3736b3add73efe088488df09e38

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