1️⃣ OneCondition
An ultra-lightweight package for validating single conditions.
Why?
Often when writing Python code, you will need to validate one or more conditions about a value, and raise an error if those conditions aren't valid. The most simple example is as follows:
def inverse(value):
# Validate that the input is a positive number
if not isinstance(value, (int, float)):
raise ValueError("Value must be either an int or a float")
if not value > 0:
raise ValueError("Value must be positive (non-zero)")
return 1 / value
This works for very simple cases, but what if we wanted to format more information into the error messages? What if we want a custom error type to represent specifically a validation error? What if we need to do 20, or 200 validations, instead of 2? You can start to see how quickly your boilerplate for validation could clutter up your code.
onecondition aims to solve this issue with a simple design philosophy:
You should only have to write one line of code in order to validate one condition.
(And that line should be less than 100 characters long.)
Usage
The most common usage of onecondition is to validate that the parameters passed to a function are valid.
The validate submodule provides a large number of functions that allow validating many aspects about a value.
import onecondition as oc
import onecondition.validate
def inverse(value):
# Validate that the input is a positive number
oc.validate.instance(value, (int, float))
oc.validate.positive(value)
return 1 / value
Now, if you run something like inverse(4), you will get the expected output of 0.25.
However, running inverse(0) would give the following error:
Traceback (most recent call last):
...
onecondition.ValidationError: Value `0` must be positive (non-zero)
Similarly, running inverse("foobar") would result in the following:
Traceback (most recent call last):
...
onecondition.ValidationError: Value `'foobar'` must be an instance of (<class 'int'>, <class 'float'>), not a <class 'str'>
Isn't that much nicer than writing all that code yourself?
Full Documentation
Metadata
Release files for onecondition 1.1.15
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 | |
|---|---|---|---|---|
| onecondition-1.1.15.tar.gz | 19.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| onecondition-1.1.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.3 kB
Release files / onecondition-1.1.15.tar.gz
| Download URL | onecondition-1.1.15.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9fe7ca8e9eb1be399ea7c8820afb896bfd0ad9778aeb893bcf8a95428cd24f34
|
|
BLAKE2b-256 checksum How to use checksums |
062459aa3de5faebd925f539b476ed329bc638a51ccd65729a82318629eea41d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
|
Release files / onecondition-1.1.15-py3-none-any.whl
| Download URL | onecondition-1.1.15-py3-none-any.whl |
|---|---|
| Size | 19.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
73f8cceba75587321129dba146e626d838d5de480c628cdb500e5ed63488f1ef
|
|
BLAKE2b-256 checksum How to use checksums |
1e5046ea48b8b76c2331100ed4b7f048b099581621741354e11aaf305cb1b3f4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
|
Security for onecondition 1.1.15
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.