Skip to main content

pyATS Utils: Utilities Module

Project description

pyATS is an end-to-end testing ecosystem, specializing in data-driven and reusable testing, and engineered to be suitable for Agile, rapid development iterations. Extensible by design, pyATS enables developers start with small, simple and linear test cases, and scale towards large, complex and asynchronous test suites.

pyATS is initially developed internally in Cisco, and is now available to the general public starting late 2017 through Cisco DevNet. Visit the pyATS home page at

https://developer.cisco.com/site/pyats/

Utilities Package

This is a sub-component of pyATS that provides various nice-to-use utilities.

Requirements

pyATS currently supports Python 3.4+ on Linux & Mac systems. Windows platforms are not yet supported.

Quick Start

# install pyats as a whole
$ pip install pyats

# to upgrade this package manually
$ pip install --upgrade pyats.utils

# to install alpha/beta versions, add --pre
$ pip install --pre pyats.utils

For more information on setting up your Python development environment, such as creating virtual environment and installing pip on your system, please refer to Virtual Environment and Packages in Python tutorials.

Release history Release notifications | RSS feed

This version

22.9

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

pyats.utils-22.9-cp310-cp310-manylinux1_x86_64.whl (7.7 MB view details)

Uploaded CPython 3.10

pyats.utils-22.9-cp310-cp310-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pyats.utils-22.9-cp310-cp310-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 macOS 10.16+ x86-64

pyats.utils-22.9-cp310-cp310-macosx_10_10_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 macOS 10.10+ x86-64

pyats.utils-22.9-cp39-cp39-manylinux1_x86_64.whl (7.7 MB view details)

Uploaded CPython 3.9

pyats.utils-22.9-cp39-cp39-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pyats.utils-22.9-cp39-cp39-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 macOS 10.16+ x86-64

pyats.utils-22.9-cp39-cp39-macosx_10_10_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.9 macOS 10.10+ x86-64

pyats.utils-22.9-cp38-cp38-manylinux1_x86_64.whl (8.5 MB view details)

Uploaded CPython 3.8

pyats.utils-22.9-cp38-cp38-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pyats.utils-22.9-cp38-cp38-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 macOS 10.16+ x86-64

pyats.utils-22.9-cp38-cp38-macosx_10_10_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 macOS 10.10+ x86-64

pyats.utils-22.9-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.7m

pyats.utils-22.9-cp37-cp37m-macosx_10_16_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7m macOS 10.16+ x86-64

pyats.utils-22.9-cp37-cp37m-macosx_10_10_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7m macOS 10.10+ x86-64

File details

Details for the file pyats.utils-22.9-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0bbf21b01a32e900e6473155c3b65244fe2062b069648f78b28bf44d0971ed79
MD5 1790cef955ce04be80d45344469c5213
BLAKE2b-256 7514a0f7ffe844500d65e1c4c66f7487901f70893a5e72d6ac926654729116ab

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fb5347fe0f370f84c166970bb817a8e38a237eb02802ce2bd2bd7b533851f43b
MD5 401299fdf8bf9128fda0dacb6e86b64f
BLAKE2b-256 1046a3bfbe176b775bc3b470785196673bd9ec5bdb3dc60eec3b39b4c6e07156

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp310-cp310-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp310-cp310-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 12f1448b98e71404a18fb5d074f9227f37853de171459cf181cdedd66683e981
MD5 e02e900c7f82101b0f72acf7a1aea7aa
BLAKE2b-256 9c51f18ac54406c828ff1b4d2bf9c499e39687c44169b8bd3c0833973a053c26

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp310-cp310-macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp310-cp310-macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 48c4c7fd3a1dd34d8cb16315dce94342f189541342ffbba8547c830c4154e196
MD5 0c67e778f656a203a1bc7fb5dc5f857b
BLAKE2b-256 e1bbedc035139f78e6042e1883a8fc9eb56d5749e61d960c8abc1277fa87f6da

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2a37cedfc9fae9ac276663b33a1fa085447a9786989a4bf794ecb518a9a54007
MD5 8ebf477c13ad945c894e38c684bb1904
BLAKE2b-256 3f037ad27588d31c7f76fe018bd4e6901a5811d62b33c20482e400b9c68cf555

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9c1d1f4344b17292bf2a454f106809fdb70a3ddbba867a410af0bdabfd4ddb43
MD5 5e5d7ffb66ab06affd99e4ffe6fc7e7e
BLAKE2b-256 aa1bc58108270e7745d4a1d746a1dc8aaa803b0b3c9c2dd3ffbe26e575d8d8fe

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp39-cp39-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp39-cp39-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 fe0f717aab761020dcde9c442d891e9df48ab5b067e1b145c50a78ff350a02dd
MD5 0d0c6c8b63fd9d3266e1b7fc6991b9a2
BLAKE2b-256 04fe3c43f5c8a34143916689f89c938559b61b2bae0774e695b038ce3da061a5

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp39-cp39-macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp39-cp39-macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 799c95dbc89b6385c149a985830d1a711aa14c02b00750a0eb41d50402425f1a
MD5 bce49d98626a080d85fdd685729c3a9c
BLAKE2b-256 47c8a04f41d37659f467052546d15c77a3a42c5a009b2e7120048b8584f5bdb7

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1f91fcbad9d172a4219d0b90e55b44592e62c158828c1f38490812afddd35cb0
MD5 6b4dacf90e774be42fbecae2c9ef4d4b
BLAKE2b-256 76bea45b6519bce7eeb9ef718d891a2b16f4929eb310f765ab980157584ad803

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a794ee0bd9413c315b6f73b60693ff764da650e7d84aa7540c0567a37b9bb2f0
MD5 dafed9fd9a5bc1b4ace1d5e6f48b795c
BLAKE2b-256 f068efc14481298f11d5f18413eca109bc4d4d7037705cf8753280b5f379cd6e

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp38-cp38-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp38-cp38-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 09f6f2efb768128c14b0830a673a42775457794ce8a65fdd065d62d3082742d6
MD5 fc780f1e40c4e4b7184c0ed5121aa270
BLAKE2b-256 d07615f047b42643c2a8bce0d989e2e08d4431025834a733f199440dc9a977bc

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp38-cp38-macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp38-cp38-macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 05ede68bb23877aa58640a667b93461b7afc34c1f0971b29781411f2936c03ce
MD5 1e1f31c6c5ae6e35e06c7526e432ec8e
BLAKE2b-256 3405274225382e5462d180dad31569f02047886ee8d9acea29d9597b1f2db682

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 4fce4d0e2e2aafd232b5a4494f354e589e0370635826ec9735da8cdb014b83c0
MD5 198d377d590a502e5016fcc669132a19
BLAKE2b-256 9f4dba2fc31d1388c620b944d6c3093e7397a23ed4a90d3119e11d81b0822d51

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp37-cp37m-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp37-cp37m-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 746f570a4f6df534ed4912f70ea24f9ce352292739bada977834e93cb0dc62aa
MD5 27c8c3feef67013575524ce79029261f
BLAKE2b-256 b42b814c63b9279796d84bd8b78f5c756a43367cf5197f5320680d9b4ff9b795

See more details on using hashes here.

Provenance

File details

Details for the file pyats.utils-22.9-cp37-cp37m-macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for pyats.utils-22.9-cp37-cp37m-macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 681ce3475115639f2e51aac409abf7d102faad20664d1acb9ded3c416eef0bd6
MD5 f30be34f1016a9b0b02fee29fce9f26a
BLAKE2b-256 a24692c833307678bdbe51e25943467b76b0ed62df4597872bdfe9a54608d328

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