Skip to main content

The author of this package has not provided a project description

Metadata

Release files for py-data-mock 0.0.16

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

Source distribution (sdist)

Source distribution for py-data-mock 0.0.16
File Size Uploaded Provenance
py-data-mock-0.0.16.tar.gz 26.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for py-data-mock 0.0.16
File Interpreter ABI Platform
py_data_mock-0.0.16-py3-none-any.whl Python 3 none any Details

Total release size: 57.9 kB

Release files / py-data-mock-0.0.16.tar.gz

Download URL py-data-mock-0.0.16.tar.gz
Size 26.1 kB
Tags Source
SHA-256 checksum
How to use checksums
3c4b6814b21f3457ff61a62ec78b359ae754c14ce87b48793fc5b7c720bcefa3
BLAKE2b-256 checksum
How to use checksums
cd894734a47b5ad400c26dd2fae786052bc6d9666078c542ebeda7a9bc65c1d1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Release files / py_data_mock-0.0.16-py3-none-any.whl

Download URL py_data_mock-0.0.16-py3-none-any.whl
Size 31.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4b3f92aca6a403d9940117f94c06c15756c0a660e2b72fd498e82f39bb80ff69
BLAKE2b-256 checksum
How to use checksums
ff2f9faf2bb82fff4a77389e670d4c96576458854aa72a1b52d6e0c9ff64a2f7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Security for py-data-mock 0.0.16

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.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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