97 lines
4.7 KiB
Python
Executable File
97 lines
4.7 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""This is the main and only one setup entry point for installing each package as stand-alone as well as joint
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installation for all packages.
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There are considered three main scenarios for installing this project:
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1. Using PyPI registry when you can install `pytorch-lightning`, `lightning-app`, etc. or `lightning` for all.
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2. Installation from source code after cloning repository.
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In such case we recommend to use command `pip install .` or `pip install -e .` for development version
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(development ver. do not copy python files to your pip file system, just create links, so you can edit here)
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In case you want to install just one package you need to export env. variable before calling `pip`
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- for `pytorch-lightning` use `export PACKAGE_NAME=pytorch ; pip install .`
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- for `lightning-app` use `export PACKAGE_NAME=app ; pip install .`
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3. Building packages as sdist or binary wheel and installing or publish to PyPI afterwords you use command
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`python setup.py sdist` or `python setup.py bdist_wheel` accordingly.
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In case you want to build just a particular package you would use exporting env. variable as above:
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`export PACKAGE_NAME=pytorch|app ; python setup.py sdist bdist_wheel`
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4. Automated releasing with GitHub action is natural extension of 3) is composed of three consecutive steps:
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a) determine which packages shall be released based on version increment in `__version__.py` and eventually
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compared against PyPI registry
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b) with a parameterization build desired packages in to standard `dist/` folder
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c) validate packages and publish to PyPI
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| Installation | PIP version * | Pkg version ** |
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| -------------- | ------------------- | --------------- |
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| source | calendar + branch | semantic |
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| PyPI | semantic | semantic |
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* shown version while calling `pip list | grep lightning`
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** shown version in python `from <pytorch_lightning|lightning_app> import __version__`
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"""
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import os
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from importlib.util import module_from_spec, spec_from_file_location
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from types import ModuleType
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from setuptools import setup
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_PACKAGE_NAME = os.environ.get("PACKAGE_NAME", "")
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_PACKAGE_MAPPING = {"pytorch": "pytorch_lightning", "app": "lightning_app"}
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_REAL_PKG_NAME = _PACKAGE_MAPPING.get(_PACKAGE_NAME, _PACKAGE_NAME)
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# https://packaging.python.org/guides/single-sourcing-package-version/
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# http://blog.ionelmc.ro/2014/05/25/python-packaging/
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_PATH_ROOT = os.path.dirname(__file__)
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_PATH_SETUP = os.path.join(_PATH_ROOT, "src", _REAL_PKG_NAME or "lightning", "__setup__.py")
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# Hardcode the env variable from time of package creation, otherwise it fails during installation
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with open(__file__) as fp:
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lines = fp.readlines()
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for i, ln in enumerate(lines):
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if ln.startswith("_PACKAGE_NAME = "):
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lines[i] = f'_PACKAGE_NAME = "{_PACKAGE_NAME}"{os.linesep}'
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with open(__file__, "w") as fp:
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fp.writelines(lines)
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def _load_py_module(name: str, location: str) -> ModuleType:
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spec = spec_from_file_location(name, location)
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assert spec, f"Failed to load module {name} from {location}"
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py = module_from_spec(spec)
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assert spec.loader, f"ModuleSpec.loader is None for {name} from {location}"
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spec.loader.exec_module(py)
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return py
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# https://packaging.python.org/discussions/install-requires-vs-requirements /
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# keep the meta-data here for simplicity in reading this file... it's not obvious
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# what happens and to non-engineers they won't know to look in init ...
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# the goal of the project is simplicity for researchers, don't want to add too much
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# engineer specific practices
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if __name__ == "__main__":
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_SETUP_TOOLS = _load_py_module(name="setup_tools", location=os.path.join(".actions", "setup_tools.py"))
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for lit_name, pkg_name in _PACKAGE_MAPPING.items():
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# fixme: if we run creation of meta pkg against stable we shall pull the source
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_SETUP_TOOLS.create_meta_package(os.path.join(_PATH_ROOT, "src"), pkg_name, lit_name)
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_SETUP_MODULE = _load_py_module(name="pkg_setup", location=_PATH_SETUP)
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_SETUP_MODULE._adjust_manifest(pkg_name=_REAL_PKG_NAME)
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setup(**_SETUP_MODULE._setup_args(pkg_name=_REAL_PKG_NAME))
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