Skip to main content

pyATS Results: Representing Results using Objects

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/

Results Package

This is a sub-component of pyATS that enables result codes to roll up.

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.results

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

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.

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

pyats.results-24.10-cp312-cp312-manylinux2014_x86_64.whl (772.4 kB view details)

Uploaded CPython 3.12

pyats.results-24.10-cp312-cp312-macosx_11_0_universal2.whl (242.1 kB view details)

Uploaded CPython 3.12 macOS 11.0+ universal2 (ARM64, x86-64)

pyats.results-24.10-cp311-cp311-manylinux2014_x86_64.whl (749.8 kB view details)

Uploaded CPython 3.11

pyats.results-24.10-cp311-cp311-macosx_11_0_universal2.whl (241.1 kB view details)

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

pyats.results-24.10-cp310-cp310-manylinux2014_x86_64.whl (667.7 kB view details)

Uploaded CPython 3.10

pyats.results-24.10-cp310-cp310-macosx_11_0_universal2.whl (237.0 kB view details)

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

pyats.results-24.10-cp39-cp39-musllinux_1_2_x86_64.whl (145.0 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

pyats.results-24.10-cp39-cp39-manylinux2014_x86_64.whl (666.2 kB view details)

Uploaded CPython 3.9

pyats.results-24.10-cp39-cp39-manylinux2014_aarch64.whl (680.1 kB view details)

Uploaded CPython 3.9

pyats.results-24.10-cp39-cp39-macosx_11_0_universal2.whl (236.9 kB view details)

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

pyats.results-24.10-cp38-cp38-manylinux2014_aarch64.whl (657.8 kB view details)

Uploaded CPython 3.8

pyats.results-24.10-cp38-cp38-macosx_11_0_universal2.whl (239.9 kB view details)

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

File details

Details for the file pyats.results-24.10-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9a2ea0ee2942ce9fa9afb21c3ced2a7d43d9721f44ab2f6a4a12a502b3bab7e9
MD5 428e5f55de765ed1b55f6505331da779
BLAKE2b-256 a2ae7eb934f921ab60b240db56cdb36353c84b0c71dcdd05b7dd238df16b4684

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f659283126f2190a1899e90f0bf8a3a8fc8ac7ee21f076e073dea52b5f1b6f0f
MD5 e0ea66740e081ee47ab11e61e4bd9197
BLAKE2b-256 9beeaf6f30641d2066cb6e40ea7fccfdad5e91d082a0f45199c0adf55e6ae53d

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp312-cp312-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp312-cp312-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 071e5c55db353dd1a1798e885a1aa68b817239df9aa26a2139ad508846aab070
MD5 760e5787122ab553d45c0d76abe831f1
BLAKE2b-256 e15f4b3522f98326cc984f56814ac9656a1e7ac7e14f588199682ed280e0a5b3

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c506df9bfa20455a2c00a97e837e56dd11e32f3d4fcc20e7f2bf4870f1f84b1c
MD5 a6db1e8709a096595ead242f528bf983
BLAKE2b-256 8dd06ee8751bb3113bd779588c3f28bb654633e9299dc496b90bbe4f7758eaed

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7cc9be884b7b548fdcb3e3f10df7990bd3ab17db9a6a32fa2184269334a93832
MD5 af895e8dc85484a23e4df47ead5bc1e8
BLAKE2b-256 69091429947bab9edfb8f41faf58754da2f794085acf471962ebb11d18cce309

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 316cd6ae49c8d6d575bae20812fe70d191cc5ab8ff66efe8a5673443d820c27c
MD5 14f9459cca8dcc1a0daf7a7b114c748a
BLAKE2b-256 d2c4514d8bffeb2010eb0d35589a2f0c92783a791959347c1847d039b062322f

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4d1ef9917bf943a4ed49d560dec2fb7ef207c6b0e31752c2b309a55652169924
MD5 f33ff6209774c747e101e432abc3a9a6
BLAKE2b-256 188c7931605c9d5da451465bc47b279ae4563dd6e58f68d690163740379f5eb4

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 67c2858ad1726ba5ab18772763b27fe2d7726a1c81503c8217a1a5b001d62a82
MD5 bc4787600d9d96c15b70b23f7621fc47
BLAKE2b-256 f3c9f4d187237bac13a49d89fc9ee54b7c93b01b5a1f740320247a8640df3b6c

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 05cdc83a32c7eca9819d015db50fd9ceabb328c2638a65157ba5451246242745
MD5 30296743e81900c6fb9921fb423f3614
BLAKE2b-256 f1f13bac9da24f83a9e0cb68487656e54a2bf43f01538451344272087806de1d

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f8325a8ced24a3db2ebfda59f97bfcbe01fff09983037849386887faa6db3ae0
MD5 ea0928dc3c523cfc9d51cd1295058b0b
BLAKE2b-256 f5f10f723e9bb534737cdd938a07ee7db28950c4996e99e6234b3ee600010dc8

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b5ed1da7945401897fb25b08dd7e9ea901951fa1debd79499c27fae77c2ec540
MD5 e2f05d080dd6f37ffa4f5912ee7992e5
BLAKE2b-256 4fa055ae76574b8bae79b1330565e6d4d2f94c3de188170ba7c17503a02396e2

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 90a8919e569c6391b318c3d7d2659e53d98db320c966e8b547c4081294d50a08
MD5 53586c3a4a57738321ae39dbe6bf0226
BLAKE2b-256 a900e95ed89d8362469d5575d9dd12eac5293fa26aec1fe9a4b8c359c655905b

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp39-cp39-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp39-cp39-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 9322a2a791fac7e8bd79b4df04f62c9f7b0b778b9c35016b3b06d6c359b02d43
MD5 c0b95e19977f233c67f3754978575673
BLAKE2b-256 1192fdc0ee49f5701fffbbf21fe38bd1699c66a3730cb97ae4c4d1d240a297a9

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 193ff9602235ed6a7fed4a6a386abdf4db0711db7109a9d6b1b228bd2142c791
MD5 1eb297e2265c8735555a4769898c3de7
BLAKE2b-256 ff8c557d71cd4785e2a721575dfe4ae20d51288c04b5bdb57181caa2f6fa7a83

See more details on using hashes here.

File details

Details for the file pyats.results-24.10-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats.results-24.10-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 12328bec14ecf1c8b47a23c4bce60d8d6febf438dd3df12387d1a22f193a6a5e
MD5 b1d516d4e265ac7f23c9d4d9cb4c4ad0
BLAKE2b-256 b3e69d0c30e90ba0c5bf372f606c630415c161852e756407deedf74df67d6727

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