d42
The d42 package is a comprehensive toolkit for data modeling, which includes functionalities for definition, generation, validation, and substitution of data models using a robust data description language.
Installation
$ pip3 install d42
Usage Example
from d42 import schema, fake, validate_or_fail
# Define a schema for a string containing "banana"
sch = schema.str("banana")
# Generate a fake value based on the schema and validate it
assert validate_or_fail(sch, fake(sch))
Documentation
For detailed documentation, visit the official d42 documentation.
Release files for d42 2.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| d42-2.4.0.tar.gz | 33.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| d42-2.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.0 kB
Release files / d42-2.4.0.tar.gz
| Download URL | d42-2.4.0.tar.gz |
|---|---|
| Size | 33.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / d42-2.4.0-py3-none-any.whl
| Download URL | d42-2.4.0-py3-none-any.whl |
|---|---|
| Size | 50.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|