Constraints provides a rich set of validation tools which can be used almost anywhere. Using Constraint class instances as descriptors, you can perform validation at the class attribute level. Constraint objects can be used with Precondition, Postcondition and Invariant objects to validate a block of code (as context managers) or a function (as decorators).
Metadata
Release files for constraintslib 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| constraintslib-0.120126.zip | 5.8 kB | Without provenance | Details |
Release files / constraintslib-0.120126.zip
| Download URL | constraintslib-0.120126.zip |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
12293ec4b136563464896c0deaf47ebbd3dc3bc695ed3c6e76783567fd21ff0b
|
|
BLAKE2b-256 checksum How to use checksums |
1aa435a989c01a4b13f373330471b9071337f607158c4f457fbade87ac3e3f7f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for constraintslib 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.