Add PDM and PythonContainer executable

examples/pdm_project/.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

examples/pdm_project/README.md

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+# pdm_project

examples/pdm_project/launcher.py

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+#!/usr/bin/env python3
+from absl import app
+from absl import flags
+
+from lxm3 import xm
+from lxm3 import xm_cluster
+from lxm3.contrib import ucl
+
+_LAUNCH_ON_CLUSTER = flags.DEFINE_boolean(
+    "launch_on_cluster", False, "Launch on cluster"
+)
+
+
+def main(_):
+    with xm_cluster.create_experiment(experiment_title="basic") as experiment:
+        job_requirements = xm_cluster.JobRequirements(ram=8 * xm.GB)
+        if _LAUNCH_ON_CLUSTER.value:
+            # This is a special case for using SGE in UCL where we use generic
+            # job requirements and translate to SGE specific requirements.
+            # Non-UCL users, use `xm_cluster.GridEngine directly`.
+            executor = ucl.UclGridEngine(
+                job_requirements,
+                walltime=10 * xm.Min,
+            )
+        else:
+            executor = xm_cluster.Local(job_requirements)
+
+        spec = xm_cluster.PDMProject(
+            # This is a relative path to the launcher that contains
+            # your python package (i.e. the directory that contains pyproject.toml)
+            path=".",
+            base_image="python:3.10-slim",
+            # Entrypoint is the python module that you would like to
+            # In the implementation, this is translated to
+            #   python3 -m py_package.main
+            entrypoint=xm_cluster.ModuleName("pdm_project.main"),
+        )
+
+        [executable] = experiment.package(
+            [xm.Packageable(spec, executor_spec=executor.Spec())]
+        )
+
+        experiment.add(xm.Job(executable=executable, executor=executor))
+
+
+if __name__ == "__main__":
+    app.run(main)

examples/pdm_project/pyproject.toml

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+[project]
+name = "pdm_project"
+version = "0.1.0"
+description = ""
+authors = [
+    {name = "Yicheng Luo", email = "[email protected]"},
+]
+dependencies = []
+requires-python = ">=3.10"
+readme = "README.md"
+license = {text = "MIT"}
+
+[build-system]
+requires = ["pdm-backend"]
+build-backend = "pdm.backend"

examples/pdm_project/src/pdm_project/main.py

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+print("Hello world")