hatch2_project

Hatchling Integration

Tip

• Standard Installation: In this example folder, use pip install . to install all Python dependencies that are pip-installable, along with the local package itself.
• Comprehensive Installation with unidep: To install all dependencies, including those that are not Python-specific, use unidep install .. This command performs the following actions in sequence:
  1. conda install [dependencies from pyproject.toml] – Installs all Conda installable dependencies.
  2. pip install [dependencies from pyproject.toml] – Installs remaining pip-only dependencies.
  3. pip install . – Installs the local package.

For projects managed with Hatch, unidep can be configured fully in pyproject.toml including all its dependencies.

Example Configuration for Hatch:

[build-system]
requires = ["hatchling", "unidep[toml]"]  # add "unidep[toml]" here
build-backend = "hatchling.build"

[project]
dynamic = ["dependencies"]  # add "dependencies" here
# Additional project configurations

[tool.hatch]
# Additional Hatch configurations

[tool.hatch.metadata.hooks.unidep]  # add this to enable the hook

# Specify pip and conda dependencies here
[tool.unidep]
channels = ["conda-forge"]
dependencies = [
    { conda = "adaptive-scheduler:linux64" },
    { pip = "unidep" },
    "numpy >=1.21",
    "hpc05:linux64",
    "pandas >=1,<3",
    "pexpect:unix",
    "wexpect:win64",
]

Note

See the pyproject.toml for a working example.