synthetic-data-generators 1.3.0
Helper methods for generating synthetic data for testing and development.
Requires Python: <4.0,>=3.10

<h1 align="center"><u><code>synthetic-data-generators</code></u></h1>

<p align="center">
<a href="https://github.com/data-science-extensions/synthetic-data-generators/releases">
    <img src="https://img.shields.io/github/v/release/data-science-extensions/synthetic-data-generators?logo=github" alt="github-release"></a>
<a href="https://pypi.org/project/synthetic-data-generators">
    <img src="https://img.shields.io/pypi/implementation/synthetic-data-generators?logo=pypi&logoColor=ffde57" alt="implementation"></a>
<a href="https://pypi.org/project/synthetic-data-generators">
    <img src="https://img.shields.io/pypi/v/synthetic-data-generators?label=version&logo=python&logoColor=ffde57&color=blue" alt="version"></a>
<a href="https://pypi.org/project/synthetic-data-generators">
    <img src="https://img.shields.io/pypi/pyversions/synthetic-data-generators?logo=python&logoColor=ffde57" alt="python-versions"></a>
<br>
<a href="https://github.com/data-science-extensions/synthetic-data-generators/actions/workflows/ci.yml">
    <img src="https://img.shields.io/static/v1?label=os&message=ubuntu+|+macos+|+windows&color=blue&logo=ubuntu&logoColor=green" alt="os"></a>
<a href="https://pypi.org/project/synthetic-data-generators">
    <img src="https://img.shields.io/pypi/status/synthetic-data-generators?color=green" alt="pypi-status"></a>
<a href="https://pypi.org/project/synthetic-data-generators">
    <img src="https://img.shields.io/pypi/format/synthetic-data-generators?color=green" alt="pypi-format"></a>
<a href="https://github.com/data-science-extensions/synthetic-data-generators/blob/main/LICENSE">
    <img src="https://img.shields.io/github/license/data-science-extensions/synthetic-data-generators?color=green" alt="github-license"></a>
<a href="https://piptrends.com/package/synthetic-data-generators">
    <img src="https://img.shields.io/pypi/dm/synthetic-data-generators?color=green" alt="pypi-downloads"></a>
<a href="https://codecov.io/gh/data-science-extensions/synthetic-data-generators">
    <img src="https://codecov.io/gh/data-science-extensions/synthetic-data-generators/graph/badge.svg" alt="codecov-repo"></a>
<a href="https://github.com/psf/black">
    <img src="https://img.shields.io/static/v1?label=style&message=black&color=black&logo=windows-terminal&logoColor=white" alt="style"></a>
<br>
<a href="https://github.com/data-science-extensions/synthetic-data-generators">
    <img src="https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat" alt="contributions"></a>
<br>
<a href="https://github.com/data-science-extensions/synthetic-data-generators/actions/workflows/ci.yml">
    <img src="https://github.com/data-science-extensions/synthetic-data-generators/actions/workflows/ci.yml/badge.svg?event=pull_request" alt="CI"></a>
<a href="https://github.com/data-science-extensions/synthetic-data-generators/actions/workflows/cd.yml">
    <img src="https://github.com/data-science-extensions/synthetic-data-generators/actions/workflows/cd.yml/badge.svg?event=release" alt="CD"></a>
</p>

### Introduction

The purpose of this package is to provide  a set of tools for generating synthetic data for various use cases. The package includes a variety of data generators, including random number generators, text generators, image generators, and time series generators. The package is designed to be easy to use and flexible, allowing users to customize the generated data to meet their specific needs.

### Key URLs

For reference, these URL's are used:

| Type           | Source | URL                                                                  |
| -------------- | ------ | -------------------------------------------------------------------- |
| Git Repo       | GitHub | https://github.com/data-science-extensions/synthetic-data-generators |
| Python Package | PyPI   | https://pypi.org/project/synthetic-data-generators                   |
| Package Docs   | Pages  | https://data-science-extensions.com/synthetic-data-generators/       |


### Installation

You can install and use this package multiple ways by using [`pip`], [`pipenv`], or [`poetry`].


#### Using [`pip`]:

1. In your terminal, run:

    ```sh
    python3 -m pip install --upgrade pip
    python3 -m pip install synthetic-data-generators
    ```

2. Or, in your `requirements.txt` file, add:

    ```txt
    synthetic-data-generators
    ```

    Then run:

    ```sh
    python3 -m pip install --upgrade pip
    python3 -m pip install --requirement=requirements.txt
    ```


#### Using [`pipenv`]:

1. Install using environment variables:

    In your `Pipfile` file, add:

    ```toml
    [[source]]
    url = "https://pypi.org/simple"
    verify_ssl = false
    name = "pypi"

    [packages]
    synthetic-data-generators = "*"
    ```

    Then run:

    ```sh
    python3 -m pip install pipenv
    python3 -m pipenv install --verbose --skip-lock --categories=root index=pypi synthetic-data-generators
    ```

2. Or, in your `requirements.txt` file, add:

    ```sh
    synthetic-data-generators
    ```

    Then run:

    ```sh
    python3 -m run pipenv install --verbose --skip-lock --requirements=requirements.txt
    ```

3. Or just run this:

    ```sh
    python3 -m pipenv install --verbose --skip-lock synthetic-data-generators
    ```


#### Using [`poetry`]:

1. In your `pyproject.toml` file, add:

    ```toml
    [project]
    dependencies = [
        synthetic-data-generators = "*",
    ]
    ```

    Then run:

    ```sh
    poetry install
    ```

2. Or just run this:

    ```sh
    poetry add synthetic-data-generators
    poetry install
    poetry sync
    ```


#### Using [`uv`]:

1. In your `pyproject.toml` file, add:

    ```toml
    [project]
    dependencies = [
        synthetic-data-generators = "*",
    ]
    ```

    Then run:

    ```sh
    uv sync
    ```

2. Or just run this:

    ```sh
    uv add synthetic-data-generators
    uv sync
    ```


### Contribution

Contribution is always welcome.

1. First, either [fork][github-fork] or [branch][github-branch] the [main repo][github-repo].

2. [Clone][github-clone] your forked/branched repo.

3. Build your environment:

    1. With [`pipenv`] on Windows:

        ```pwsh
        if (-not (Test-Path .venv)) {mkdir .venv}
        python -m pipenv install --requirements requirements.txt --requirements requirements-dev.txt --skip-lock
        python -m poetry run pre-commit install
        python -m poetry run pre-commit autoupdate
        python -m poetry shell
        ```

    2. With [`pipenv`] on Linux:

        ```sh
        mkdir .venv
        python3 -m pipenv install --requirements requirements.txt --requirements requirements-dev.txt --skip-lock
        python3 -m poetry run pre-commit install
        python3 -m poetry run pre-commit autoupdate
        python3 -m poetry shell
        ```

    3. With [`poetry`] on Windows:

        ```pwsh
        python -m pip install --upgrade pip
        python -m pip install poetry
        python -m poetry config virtualenvs.create true
        python -m poetry config virtualenvs.in-project true
        python -m poetry init
        python -m poetry lock
        python -m poetry install --no-interaction --with dev,docs,test
        python -m poetry run pre-commit install
        python -m poetry run pre-commit autoupdate
        python -m poetry shell
        ```

    4. With [`poetry`] on Linux:

        ```sh
        python3 -m pip install --upgrade pip
        python3 -m pip install poetry
        python3 -m poetry config virtualenvs.create true
        python3 -m poetry config virtualenvs.in-project true
        python3 -m poetry init
        python3 -m poetry lock
        python3 -m poetry install --no-interaction --with dev,docs,test
        python3 -m poetry run pre-commit install
        python3 -m poetry run pre-commit autoupdate
        python3 -m poetry shell
        ```

    4. With [`uv`] on Windows:

        ```pwsh
        python -m pip install --upgrade pip
        python -m pip install uv
        python -m uv sync --all-groups
        python -m uv run pre-commit install
        python -m uv run pre-commit autoupdate
        ```

    5. With [`uv`] on Linux:

        ```sh
        python3 -m pip install --upgrade pip
        python3 -m pip install uv
        python3 -m uv sync --all-groups
        python3 -m uv run pre-commit install
        python3 -m uv run pre-commit autoupdate
        ```

4. Start contributing.

5. When you're happy with the changes, raise a [Pull Request][github-pr] to merge with the [main][github-repo] branch again.


### Build and Test

To ensure that the package is working as expected, please ensure that:

1. You write your code as per [PEP8][pep8] requirements.
2. You write a [UnitTest][unittest] for each function/feature you include.
3. The [CodeCoverage][codecov] is 100%.
4. All [UnitTests][pytest] are passing.
5. [MyPy][mypy] is passing 100%.


#### Testing

- Run them all together

    ```sh
    uv run src/utils/scripts.py check
    ```

- Or run them individually:

    - [Black][black]
        ```pysh
        uv run src/utils/scripts.py check-black
        ```

    - [PyTests][pytest]:
        ```sh
        uv run src/utils/scripts.py check-pytest
        ```

    - [MyPy][mypy]:
        ```sh
        uv run src/utils/scripts.py check-mypy
        ```


[github-repo]: https://github.com/data-science-extensions/toolbox-python
[github-release]: https://github.com/data-science-extensions/toolbox-python/releases
[github-ci]: https://github.com/data-science-extensions/toolbox-python/actions/workflows/ci.yml
[github-cd]: https://github.com/data-science-extensions/toolbox-python/actions/workflows/cd.yml
[github-license]: https://github.com/data-science-extensions/toolbox-python/blob/main/LICENSE
[codecov-repo]: https://codecov.io/gh/data-science-extensions/toolbox-python
[pypi]: https://pypi.org/project/toolbox-python
[docs]: ...
[pip]: https://pypi.org/project/pip
[`pip`]: https://pypi.org/project/pip
[pipenv]: https://github.com/pypa/pipenv
[`pipenv`]: https://github.com/pypa/pipenv
[poetry]: https://python-poetry.org
[`poetry`]: https://python-poetry.org
[uv]: https://docs.astral.sh/uv/
[`uv`]: https://docs.astral.sh/uv/
[github-fork]: https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/fork-a-repo
[github-branch]: https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-branches
[github-clone]: https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository
[github-pr]: https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests
[pep8]: https://peps.python.org/pep-0008/
[unittest]: https://docs.python.org/3/library/unittest.html
[codecov]: https://codecov.io/
[pytest]: https://docs.pytest.org
[mypy]: http://www.mypy-lang.org/
[black]: https://black.readthedocs.io/