Skip to main content

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

Metadata

Release files for Topsis-manav 0.0.1

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

Source distribution (sdist)

Source distribution for Topsis-manav 0.0.1
File Size Uploaded Provenance Actions
Topsis_manav-0.0.1.tar.gz 2.5 kB Without provenance Details for Topsis_manav-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for Topsis-manav 0.0.1
File Interpreter ABI Platform Actions
Topsis_manav-0.0.1-py3-none-any.whl Python 3 none any Details for Topsis_manav-0.0.1-py3-none-any.whl

Total release size: 5.6 kB

Release files / Topsis_manav-0.0.1.tar.gz

Download URL Topsis_manav-0.0.1.tar.gz
Size 2.5 kB
Tags Source
SHA-256 checksum
How to use checksums
6215357c2cb6f5043fe4933b04fed00548e424d7e41d56ee4b7e3bcc2da9380f
BLAKE2b-256 checksum
How to use checksums
ab7f2aebf0d19a35205507c72c16b446bb5b59113d0302c4f4cb1fe27c212754
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

Release files / Topsis_manav-0.0.1-py3-none-any.whl

Download URL Topsis_manav-0.0.1-py3-none-any.whl
Size 3.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2986523596fe94a52ad47cb8d1f8a09beb1de402020678796bf7bbd4c6fcdc97
BLAKE2b-256 checksum
How to use checksums
9cfb2aba8ba271a84923e15d95608ea6d3dc325300e96dedada86194511f6623
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

Security for Topsis-manav 0.0.1

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.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

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