Skip to main content

pyATS Kleenex: Testbed Preparation, Clean & Finalization

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/

Kleenex Package

This is a sub-component of pyATS that standardizes how developers write and run code that interacts with testbed devices and cleans them (in preparation of a script run)

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.kleenex

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

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

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.kleenex-23.8-cp311-cp311-macosx_11_0_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.11 macOS 11.0+ x86-64

pyats.kleenex-23.8-cp311-cp311-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pyats.kleenex-23.8-cp310-cp310-macosx_11_0_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

pyats.kleenex-23.8-cp310-cp310-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pyats.kleenex-23.8-cp39-cp39-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

pyats.kleenex-23.8-cp39-cp39-macosx_11_0_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

pyats.kleenex-23.8-cp39-cp39-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pyats.kleenex-23.8-cp38-cp38-macosx_11_0_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

pyats.kleenex-23.8-cp38-cp38-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

File details

Details for the file pyats.kleenex-23.8-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6c2dfe41dda388d1ec16a9d6a8bc721935248c7e71918bd678b92508e068e30a
MD5 06c1413a7f52379b5a1fa99d51dcc507
BLAKE2b-256 6bfb88b75c1472945e8e005e6dbd875439b61cd484581b42845d4a8e513b470a

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2a7b0459227a133a91682fb5ec3ed8ad0ca673c583136769bafdf00c3e84b307
MD5 464a707d39141fcb20f93856c7308552
BLAKE2b-256 97cbeed1ee76dea727520ee5b996fd1f86a52076918162bdcf7dfac0cfabd2ab

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 bbcd80f74de5eb5287b091c25da4becbaaf156742480d158d3de066368d04fcb
MD5 6ed275b833e2e740e9b29276fd8b375d
BLAKE2b-256 a7d93f84ff9ecdabfc54715e5f8c2bff5e26bd5c6573b20a20ca0404393bc861

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8721d5bd57b7ea6a3a3bc8fc8631e5870d3fec3506a83f971b33882708b6aeff
MD5 8123b4dc73033ace154175e203406e98
BLAKE2b-256 e5b674accc19f7225090066f3932033f7bf300d8d5e2944be842739f21d9c246

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ed32bfc20bab9f980634a81947e97d30c57d1b64c447cdcb49de29b34f1d67ec
MD5 705bf31560fbce1624be9fe00a4d8914
BLAKE2b-256 b0b4888630230b730ffffb608a33f6357bb7e4efb444d273dbe24a88ca47cbae

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4e78baad6290068893b0ad65225c332e835775061d3c369ed5049273646aa61b
MD5 cd5dd4d603be664436077f7f7233421a
BLAKE2b-256 647e2932279f7bf40cdc11def4ebb44a2daf2bcd8d8cc6c28d4b7c6c510f28e3

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 491159910380f114c7d24492f6f90606636c98c7a436592d12a7f364c0ff1d2d
MD5 2c9927c070147de8bf182c2139b0594d
BLAKE2b-256 3374923b0945a1d31de6f580968ca07f9a170287ba074a2a3df15d7726fed83c

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fbf34f07a54fb23c52646e141ed9e407f398dd78ece8524a974adf87eefa7c3e
MD5 2d721e29b3f79f1abfe0d2aae4c9bed1
BLAKE2b-256 b142b85efeb81ed800ca6f1e5811a9c2369bd49ce61db2803eca7eaf6feb992b

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 907185e2d79e25458c58c6016410a738a9217a49c62231f4d9469f1731094b59
MD5 4a7ae2e864838909989ba8f65958c247
BLAKE2b-256 c2a0729f26d8e27cfd24229a9c7f2229be18080ab9d6fd9a980f2edfc0fd9381

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a323fd9650e99c26529aca75d87482e0b8c4f054ffb3c07cbf2c33d69ff1b1b5
MD5 729d5f6f08f6426b79b3bb1e8091ef14
BLAKE2b-256 8baac050a77d58fb2dc9aa2cd028478c36a04c0cd920d9dd429180e178d28f06

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6341c8a74e4c23559b955e0d09b360eaacc5236a7a76db7612db0200152f0c97
MD5 f43abd65f45475587af6dd35c099d403
BLAKE2b-256 107e6b4d8c240ff8fd2fdad8d9b6ec8dccb9f6b44e7ab491e1181ab8697a5f88

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 b127f2a9b11d7b0c27e10447a08a562b4d1c85f26441ff4efaea113d9b09daa1
MD5 11a6e2e02ff4ecea5fb7e723ba0cc8c3
BLAKE2b-256 2b1a2a1947f8b5311727f9dd27f74579936860802023c5b290cfe76650112dac

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6cbbf6e1703cb29335a3894314919730340f753f68476d7b8fcdfba5d4549fe0
MD5 3df5fc73c070ab5f658dd19657bae4f0
BLAKE2b-256 a32a80f873084bfc2243e5094bddb6f8956a2a8bc6e1d1d018e68f56dffcba15

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 65d798f2d060a45b6aff61b882dedf71d06850ad8ae0e3bfb03f7ac766d22c6e
MD5 9188f5797b9289256e7453a77d803a2e
BLAKE2b-256 0975d4053a20caaad78ce9726b308756d318c176aa7a8961e1829bd25ef31edc

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b76fcf09bbe42bd7aeec2da01db5b79425cddbbb91870a86615cdf752db61266
MD5 dd5eeed0bfa48334e6a4190c5c789b84
BLAKE2b-256 eaf8c50272f395c611ff2c6d07c72235a0daf31b96bf171933a80f9754d757cc

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 3f385b5473bb19ec04fdd31d08cd9290f331f72b700202e5e4196fab7732a83a
MD5 71a5c35727cbf936ce604c3c682aecef
BLAKE2b-256 f360d9fc73bf305b629fe674aadbddc446d2a7c80ad44c31cc48b2f880c9c589

See more details on using hashes here.

Provenance

File details

Details for the file pyats.kleenex-23.8-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyats.kleenex-23.8-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 074e190d249e2f32ccb82fc26e78857554ac055fca5ed27b87f83f62204970bf
MD5 3cfe7dc006ab39a0aff620913753b9f0
BLAKE2b-256 b1001b0bbad38aa835a9c65a589e9cf27ea9c24fd2b277e5c7458bd43a3af7aa

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