Skip to main content

The author of this package has not provided a project description

Metadata

Release files for llm-testing 1.5.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for llm-testing 1.5.9
File Size Uploaded Provenance
llm_testing-1.5.9.tar.gz 5.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for llm-testing 1.5.9
File Interpreter ABI Platform
llm_testing-1.5.9-py3-none-any.whl Python 3 none any Details

Total release size: 11.4 kB

Release files / llm_testing-1.5.9.tar.gz

Download URL llm_testing-1.5.9.tar.gz
Size 5.7 kB
Tags Source
SHA-256 checksum
How to use checksums
f494ac42da066a4cec1ded6228b3f32da79754fbb27eeb3667e3d61e53fa49f7
BLAKE2b-256 checksum
How to use checksums
c4198d9121465b0af9395cf7ea788357b4d1a0502a3ecbe275d8cee226c34862
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Release files / llm_testing-1.5.9-py3-none-any.whl

Download URL llm_testing-1.5.9-py3-none-any.whl
Size 5.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
704ab6240d3e6c46b218823e9d87d6aa1e78ec5b95012c8ebe1aa6869b1e2849
BLAKE2b-256 checksum
How to use checksums
38d673ab788adc3fd7f90879ccc8c31067500be8e222f16c2baa55ccdbd7a55f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Security for llm-testing 1.5.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page