Skip to main content

Microapp Fortran namelist reader

Metadata

Release files for nmlread 0.1.5

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

Source distribution (sdist)

Source distribution for nmlread 0.1.5
File Size Uploaded Provenance
nmlread-0.1.5.tar.gz 1.8 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for nmlread 0.1.5
File Interpreter ABI Platform
nmlread-0.1.5-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 4.8 kB

Release files / nmlread-0.1.5.tar.gz

Download URL nmlread-0.1.5.tar.gz
Size 1.8 kB
Tags Source
SHA-256 checksum
How to use checksums
a2c8c4676e2fad80b194c11d4320c4bfe7b1f9fc9b9fa8801ca23561bb1a065b
BLAKE2b-256 checksum
How to use checksums
adc7ab8a4ac23e6c08170202bcf2ee5742c465d23130053793748733ce0c5b7d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.9

Release files / nmlread-0.1.5-py2.py3-none-any.whl

Download URL nmlread-0.1.5-py2.py3-none-any.whl
Size 3.0 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
c80f8b297f927c1281779ab187f7a87ca1160cc0f60e82882dadba9002b62d43
BLAKE2b-256 checksum
How to use checksums
6522b687c0c4553ae8c805c84188e40f76a735aeb7121d9b7c7e7111855744dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.9

Security for nmlread 0.1.5

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