DTC :”Generate Dataclasses without writting them !”
Basic Usage
>>> import dtc
>>> JSON = b"""{"flooat": 12.564, "boolean": true, "integer": 12}"""
>>> my_class = dtc.from_json(JSON)
>>> my_class
Base(flooat=12.564, boolean=True, integer=12)
>>> from dataclasses import *
>>> is_dataclass(my_class)
True
>>> JSON = b"""[{"flooat": 12.4, "boolean": true, "integer": 1}, {"flooat": 12.564, "boolean": true, "integer": 12},{"flooat": 1.4, "boolean": false, "integer": 0}]"""
>>> dtc.from_json(JSON
[Base(flooat=12.4, boolean=True, integer=1), Base(flooat=12.564, boolean=True, integer=12), Base(flooat=1.4, boolean=False, integer=0)]License : GNU General Public License v3 or later (GPLv3+)
Source: https://github.com/jgirardet/dtc
1 maintainer
Release files for dtc 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dtc-0.1.1.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dtc-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.5 kB
Release files / dtc-0.1.1.tar.gz
| Download URL | dtc-0.1.1.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
poetry/1.0.0a2 CPython/3.5.2 Linux/4.4.0-133-generic
|
Release files / dtc-0.1.1-py3-none-any.whl
| Download URL | dtc-0.1.1-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-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 |
poetry/1.0.0a2 CPython/3.5.2 Linux/4.4.0-133-generic
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