Skip to main content

pyATS Tcl: Tcl Integration and 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/

Tcl Package

This is a sub-component of pyATS that wraps Python tkinter module in Python for better interface & datastructure casting.

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.tcl

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

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


Release history Release notifications | RSS feed

This version

26.4

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

If you're not sure about the file name format, learn more about wheel file names.

pyats_tcl-26.4-cp314-cp314-manylinux2014_x86_64.whl (482.9 kB view details)

Uploaded CPython 3.14

pyats_tcl-26.4-cp314-cp314-manylinux2014_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.14

pyats_tcl-26.4-cp314-cp314-macosx_11_0_universal2.whl (1.0 MB view details)

Uploaded CPython 3.14macOS 11.0+ universal2 (ARM64, x86-64)

pyats_tcl-26.4-cp313-cp313-manylinux2014_x86_64.whl (481.4 kB view details)

Uploaded CPython 3.13

pyats_tcl-26.4-cp313-cp313-manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.13

pyats_tcl-26.4-cp313-cp313-macosx_11_0_universal2.whl (1.0 MB view details)

Uploaded CPython 3.13macOS 11.0+ universal2 (ARM64, x86-64)

pyats_tcl-26.4-cp312-cp312-manylinux2014_x86_64.whl (483.1 kB view details)

Uploaded CPython 3.12

pyats_tcl-26.4-cp312-cp312-manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.12

pyats_tcl-26.4-cp312-cp312-macosx_11_0_universal2.whl (984.3 kB view details)

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

pyats_tcl-26.4-cp311-cp311-manylinux2014_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.11

pyats_tcl-26.4-cp311-cp311-macosx_11_0_universal2.whl (947.7 kB view details)

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

pyats_tcl-26.4-cp310-cp310-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pyats_tcl-26.4-cp310-cp310-manylinux2014_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.10

pyats_tcl-26.4-cp310-cp310-macosx_11_0_universal2.whl (955.9 kB view details)

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

File details

Details for the file pyats_tcl-26.4-cp314-cp314-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp314-cp314-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 23c04eb831c0e0c837b0c32f3ade1c54b7b4eaaade601adef873b4f63ea45219
MD5 8ed121890d933273d8c8291cd36d03cb
BLAKE2b-256 ffa15af941c14e403c9f0e50f971f72540e45a9aeeb3af9612edd94813bd0d34

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp314-cp314-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp314-cp314-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 682924d20906ccb828625ec5df274b23a557f7ad2a5e64fe8d30f7c2a55a0727
MD5 6d8df6b090c53d6297bd2f5949697220
BLAKE2b-256 cdd0af9ab2df830b2fefa37f79675ad7f8e60cc277ab44d0b06924cf51f7ec7f

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp314-cp314-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp314-cp314-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 f7d399e431a8f2be075af3c63e4b9e669a101cef372e443ce25de229b7febb9d
MD5 e3d92846d59d30d21e494f43ab19193f
BLAKE2b-256 222b837f7d7e6b05a81c8605b5f6311b37cab53a22d03ba3ae9048965455b201

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp313-cp313-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp313-cp313-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a1addfb53e43c8f1f63a648baae31af1c906df115170e4c268b30e97feed0299
MD5 7e549ce628686e4d767c63d20628d4d6
BLAKE2b-256 e2356c506ab31705b1ff6ed869c68c0125de9a06017f0009c7cc5b977975acd1

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp313-cp313-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp313-cp313-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 852b0a6f5d87d520672a60a640b4800326af0e999d5e50afc38d6cbb7f9b9fc6
MD5 e6afcc5a22946887e793bb21dcc61002
BLAKE2b-256 fbd6d670a4ef8c8e8952da1c9499cfdd02a5bd1d86d4ca65b2e2e410cce0c85f

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp313-cp313-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp313-cp313-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 8b5dc5667dcfbe210e3d9f45a0dde7916e9973bfd1fcdff8427a57bfbfd5737a
MD5 58782f51e605404b626bd9586376cba1
BLAKE2b-256 72a4d1564731c7947cbfb34ddd625df38eee64eb3b3c7446a9cabfe5381d3ab6

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7e785c89def73a7b9b8f065a9e2c588a7cc422c9a6d01c528ae48bc3e49d5064
MD5 0a389a0156cfb29e5bdbec9f993b0dd9
BLAKE2b-256 638cd1b53adfdd1b1ee041552343a7b2d34a2ce465dbc724547ae5be4d92247e

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a82be24c4913f161225ef7414434d1ef7a88e06f6de8c38f3d5729a736350c07
MD5 d25b46a930b7f05c6203c2a30a81f1a8
BLAKE2b-256 52f3efa8b40b08b7e9f87743b122a0f720979eaaacc5fe1198b38255a3bfcdee

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp312-cp312-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp312-cp312-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 e1da6b49da05a14bfde6accd367ac35511212fa0aa88bc2ee4f4534f9fb542d0
MD5 699f2c2c7302edbf8db41ba064240f8b
BLAKE2b-256 981b4a08f52b38777aea7126aa0743a6faa59c85fea9122a58411621237a5191

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 dfb90127668845e6aa7aea7df7538b544a11d3cd4722e4d3f475be39a3f54de6
MD5 999a3e70a5bb1c8dc2881e029a4a73b7
BLAKE2b-256 9ec4af7813f8ecb869250d52260a64c6dd16ab3044299918768dba49977a5392

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 bc6d375e6be73fdbb9cb2a4e69312c2024dfbc495795d958f3dcd73f7a231833
MD5 c206875d6d9670b085dc52e23d197a26
BLAKE2b-256 b0ad678a958659500afc6c14c1b0b04e72420dcef99906a713d68fded70b2685

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b08b8386fb6a37f4c55cbaf49fe6f72d505eef176dc59a13a01652aa2f665dde
MD5 da255df51466cfd855d5425fd82d9425
BLAKE2b-256 c4c93d4e5ebcbd95b1e43221725a8358b4e96ef625c75d9ba86ae3d6078a0a65

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 84f648100022ecdd181c90530a0be0bfb9c64e30322369883f52e0e094957c15
MD5 ffa8e6de7572c81ae7a933798d21d298
BLAKE2b-256 f6061524db08a9b927b3229f2c983b79f5b631833fc9a34b61e78c8ab2fb511b

See more details on using hashes here.

File details

Details for the file pyats_tcl-26.4-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_tcl-26.4-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 334ce32f31fff2291c6c6315d17357f52aa79e16f0f5f174615dfe5a99eb5109
MD5 df87e0b088265e5b8996678fecf74d78
BLAKE2b-256 6927f6699eeaae58a9491e332d519ca34b5823e23dbb79b3cf8c594de59ec8d2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page