Metadata-Version: 2.3
Name: faker_maytok_food
Version: 0.1.0
Summary: Food related provider for the Python Faker library
License: MIT
Keywords: faker,data,test,mock,generator,food
Author: Giancarlo Ventura
Author-email: giancarlo@maytok.com
Requires-Python: >=3.8
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Testing
Requires-Dist: Faker (>=12.0.0)
Project-URL: Homepage, https://github.com/khanmaytok/faker_maytok_food
Project-URL: Repository, https://github.com/khanmaytok/faker_maytok_food
Description-Content-Type: text/markdown

# faker_food: food provider for Faker
An add-on provider for the Python Faker module to generate random and/or fake data for food-related categories.

## Description
`faker_maytok_food` provides food-related fake data for testing purposes.

## Installation
Install the `faker_maytok_food` library with your package management tool.
``` bash
pip install faker_maytok_food
```

## Usage
Add as a provider to your Faker instance:
``` python
>>> from faker import Faker
>>> from faker_food import FoodProvider
>>> fake = Faker()
>>> fake.add_provider(FoodProvider)
```

Now you can start to generate data:

```python
>>> fake.dish()
>>> fake.dish_description()
>>> fake.ethnic_category()
>>> fake.fruit()
>>> fake.ingredient()
>>> fake.measurement()
>>> fake.metric_measurement()
>>> fake.measurement_size()
>>> fake.spice()
>>> fake.sushi()
>>> fake.vegetable()
```

