422 lines
17 KiB
Python
422 lines
17 KiB
Python
# Copyright The Lightning AI 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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import glob
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import os
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import pathlib
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import re
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import shutil
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import tarfile
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import tempfile
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import urllib.request
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from distutils.version import LooseVersion
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from itertools import chain
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from os.path import dirname, isfile
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from pathlib import Path
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from typing import Any, Dict, Iterable, Iterator, List, Optional, Sequence, Tuple, Union
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from pkg_resources import parse_requirements, Requirement, yield_lines
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REQUIREMENT_FILES = {
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"pytorch": (
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"requirements/pytorch/base.txt",
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"requirements/pytorch/extra.txt",
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"requirements/pytorch/strategies.txt",
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"requirements/pytorch/examples.txt",
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),
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"app": (
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"requirements/app/base.txt",
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"requirements/app/ui.txt",
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"requirements/app/cloud.txt",
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),
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"fabric": (
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"requirements/fabric/base.txt",
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"requirements/fabric/strategies.txt",
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),
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}
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REQUIREMENT_FILES_ALL = list(chain(*REQUIREMENT_FILES.values()))
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_PROJECT_ROOT = os.path.dirname(os.path.dirname(__file__))
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class _RequirementWithComment(Requirement):
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strict_string = "# strict"
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def __init__(self, *args: Any, comment: str = "", pip_argument: Optional[str] = None, **kwargs: Any) -> None:
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super().__init__(*args, **kwargs)
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self.comment = comment
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assert pip_argument is None or pip_argument # sanity check that it's not an empty str
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self.pip_argument = pip_argument
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self.strict = self.strict_string in comment.lower()
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def adjust(self, unfreeze: str) -> str:
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"""Remove version restrictions unless they are strict.
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>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# anything").adjust("none")
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'arrow<=1.2.2,>=1.2.0'
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>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# strict").adjust("none")
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'arrow<=1.2.2,>=1.2.0 # strict'
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>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# my name").adjust("all")
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'arrow>=1.2.0'
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>>> _RequirementWithComment("arrow>=1.2.0, <=1.2.2", comment="# strict").adjust("all")
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'arrow<=1.2.2,>=1.2.0 # strict'
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>>> _RequirementWithComment("arrow").adjust("all")
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'arrow'
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>>> _RequirementWithComment("arrow>=1.2.0, <=1.2.2", comment="# cool").adjust("major")
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'arrow<2.0,>=1.2.0'
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>>> _RequirementWithComment("arrow>=1.2.0, <=1.2.2", comment="# strict").adjust("major")
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'arrow<=1.2.2,>=1.2.0 # strict'
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>>> _RequirementWithComment("arrow>=1.2.0").adjust("major")
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'arrow>=1.2.0'
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>>> _RequirementWithComment("arrow").adjust("major")
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'arrow'
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"""
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out = str(self)
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if self.strict:
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return f"{out} {self.strict_string}"
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if unfreeze == "major":
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for operator, version in self.specs:
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if operator in ("<", "<="):
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major = LooseVersion(version).version[0]
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# replace upper bound with major version increased by one
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return out.replace(f"{operator}{version}", f"<{major + 1}.0")
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elif unfreeze == "all":
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for operator, version in self.specs:
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if operator in ("<", "<="):
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# drop upper bound
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return out.replace(f"{operator}{version},", "")
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elif unfreeze != "none":
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raise ValueError(f"Unexpected unfreeze: {unfreeze!r} value.")
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return out
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def _parse_requirements(strs: Union[str, Iterable[str]]) -> Iterator[_RequirementWithComment]:
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"""Adapted from `pkg_resources.parse_requirements` to include comments.
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>>> txt = ['# ignored', '', 'this # is an', '--piparg', 'example', 'foo # strict', 'thing', '-r different/file.txt']
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>>> [r.adjust('none') for r in _parse_requirements(txt)]
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['this', 'example', 'foo # strict', 'thing']
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>>> txt = '\\n'.join(txt)
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>>> [r.adjust('none') for r in _parse_requirements(txt)]
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['this', 'example', 'foo # strict', 'thing']
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"""
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lines = yield_lines(strs)
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pip_argument = None
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for line in lines:
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# Drop comments -- a hash without a space may be in a URL.
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if " #" in line:
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comment_pos = line.find(" #")
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line, comment = line[:comment_pos], line[comment_pos:]
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else:
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comment = ""
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# If there is a line continuation, drop it, and append the next line.
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if line.endswith("\\"):
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line = line[:-2].strip()
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try:
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line += next(lines)
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except StopIteration:
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return
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# If there's a pip argument, save it
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if line.startswith("--"):
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pip_argument = line
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continue
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if line.startswith("-r "):
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# linked requirement files are unsupported
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continue
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yield _RequirementWithComment(line, comment=comment, pip_argument=pip_argument)
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pip_argument = None
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def load_requirements(path_dir: str, file_name: str = "base.txt", unfreeze: str = "all") -> List[str]:
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"""Loading requirements from a file.
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>>> path_req = os.path.join(_PROJECT_ROOT, "requirements")
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>>> load_requirements(path_req, "docs.txt", unfreeze="major") # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
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['sphinx<6.0,>=4.0', ...]
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"""
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assert unfreeze in {"none", "major", "all"}
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path = Path(path_dir) / file_name
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assert path.exists(), (path_dir, file_name, path)
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text = path.read_text()
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return [req.adjust(unfreeze) for req in _parse_requirements(text)]
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def load_readme_description(path_dir: str, homepage: str, version: str) -> str:
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"""Load readme as decribtion.
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>>> load_readme_description(_PROJECT_ROOT, "", "") # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
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'...PyTorch Lightning is just organized PyTorch...'
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"""
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path_readme = os.path.join(path_dir, "README.md")
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text = open(path_readme, encoding="utf-8").read()
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# drop images from readme
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text = text.replace("![PT to PL](docs/source/_static/images/general/pl_quick_start_full_compressed.gif)", "")
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# https://github.com/Lightning-AI/lightning/raw/master/docs/source/_static/images/lightning_module/pt_to_pl.png
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github_source_url = os.path.join(homepage, "raw", version)
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# replace relative repository path to absolute link to the release
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# do not replace all "docs" as in the readme we reger some other sources with particular path to docs
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text = text.replace("docs/source/_static/", f"{os.path.join(github_source_url, 'docs/source/_static/')}")
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# readthedocs badge
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text = text.replace("badge/?version=stable", f"badge/?version={version}")
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text = text.replace("pytorch-lightning.readthedocs.io/en/stable/", f"pytorch-lightning.readthedocs.io/en/{version}")
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# codecov badge
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text = text.replace("/branch/master/graph/badge.svg", f"/release/{version}/graph/badge.svg")
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# github actions badge
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text = text.replace("badge.svg?branch=master&event=push", f"badge.svg?tag={version}")
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# azure pipelines badge
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text = text.replace("?branchName=master", f"?branchName=refs%2Ftags%2F{version}")
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skip_begin = r"<!-- following section will be skipped from PyPI description -->"
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skip_end = r"<!-- end skipping PyPI description -->"
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# todo: wrap content as commented description
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text = re.sub(rf"{skip_begin}.+?{skip_end}", "<!-- -->", text, flags=re.IGNORECASE + re.DOTALL)
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# # https://github.com/Borda/pytorch-lightning/releases/download/1.1.0a6/codecov_badge.png
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# github_release_url = os.path.join(homepage, "releases", "download", version)
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# # download badge and replace url with local file
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# text = _parse_for_badge(text, github_release_url)
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return text
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def distribute_version(src_folder: str, ver_file: str = "version.info") -> None:
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"""Copy the global version to all packages."""
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ls_ver = glob.glob(os.path.join(src_folder, "*", "__version__.py"))
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ver_template = os.path.join(src_folder, ver_file)
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for fpath in ls_ver:
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fpath = os.path.join(os.path.dirname(fpath), ver_file)
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print("Distributing the version to", fpath)
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if os.path.isfile(fpath):
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os.remove(fpath)
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shutil.copy2(ver_template, fpath)
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def _download_frontend(pkg_path: str):
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"""Downloads an archive file for a specific release of the Lightning frontend and extracts it to the correct
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directory."""
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try:
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frontend_dir = pathlib.Path(pkg_path, "ui")
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download_dir = tempfile.mkdtemp()
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shutil.rmtree(frontend_dir, ignore_errors=True)
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# TODO: remove this once lightning-ui package is ready as a dependency
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frontend_release_url = "https://storage.googleapis.com/grid-packages/lightning-ui/v0.0.0/build.tar.gz"
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response = urllib.request.urlopen(frontend_release_url)
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file = tarfile.open(fileobj=response, mode="r|gz")
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file.extractall(path=download_dir)
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shutil.move(os.path.join(download_dir, "build"), frontend_dir)
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print("The Lightning UI has successfully been downloaded!")
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# If installing from source without internet connection, we don't want to break the installation
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except Exception:
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print("The Lightning UI downloading has failed!")
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def _load_aggregate_requirements(req_dir: str = "requirements", freeze_requirements: bool = False) -> None:
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"""Load all base requirements from all particular packages and prune duplicates.
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>>> _load_aggregate_requirements(os.path.join(_PROJECT_ROOT, "requirements"))
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"""
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requires = [
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load_requirements(d, unfreeze="none" if freeze_requirements else "major")
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for d in glob.glob(os.path.join(req_dir, "*"))
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# skip empty folder as git artefacts, and resolving Will's special issue
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if os.path.isdir(d) and len(glob.glob(os.path.join(d, "*"))) > 0 and "__pycache__" not in d
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]
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if not requires:
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return
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# TODO: add some smarter version aggregation per each package
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requires = sorted(set(chain(*requires)))
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with open(os.path.join(req_dir, "base.txt"), "w") as fp:
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fp.writelines([ln + os.linesep for ln in requires] + [os.linesep])
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def _retrieve_files(directory: str, *ext: str) -> List[str]:
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all_files = []
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for root, _, files in os.walk(directory):
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for fname in files:
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if not ext or any(os.path.split(fname)[1].lower().endswith(e) for e in ext):
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all_files.append(os.path.join(root, fname))
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return all_files
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def _replace_imports(lines: List[str], mapping: List[Tuple[str, str]], lightning_by: str = "") -> List[str]:
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"""Replace imports of standalone package to lightning.
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>>> lns = [
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... '"lightning_app"',
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... "lightning_app",
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... "lightning_app/",
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... "delete_cloud_lightning_apps",
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... "from lightning_app import",
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... "lightning_apps = []",
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... "lightning_app and pytorch_lightning are ours",
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... "def _lightning_app():",
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... ":class:`~lightning_app.core.flow.LightningFlow`",
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... "http://pytorch_lightning.ai",
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... "from lightning import __version__",
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... "@lightning.ai"
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... ]
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>>> mapping = [("lightning_app", "lightning.app"), ("pytorch_lightning", "lightning.pytorch")]
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>>> _replace_imports(lns, mapping, lightning_by="lightning_fabric") # doctest: +NORMALIZE_WHITESPACE
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['"lightning.app"', \
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'lightning.app', \
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'lightning_app/', \
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'delete_cloud_lightning_apps', \
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'from lightning.app import', \
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'lightning_apps = []', \
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'lightning.app and lightning.pytorch are ours', \
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'def _lightning_app():', \
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':class:`~lightning.app.core.flow.LightningFlow`', \
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'http://pytorch_lightning.ai', \
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'from lightning_fabric import __version__', \
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'@lightning.ai']
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"""
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out = lines[:]
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for source_import, target_import in mapping:
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for i, ln in enumerate(out):
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out[i] = re.sub(
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rf"([^_/@]|^){source_import}([^_\w/]|$)",
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rf"\1{target_import}\2",
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ln,
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)
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if lightning_by: # in addition, replace base package
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out[i] = out[i].replace("from lightning import ", f"from {lightning_by} import ")
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out[i] = out[i].replace("import lightning ", f"import {lightning_by} ")
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return out
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def copy_replace_imports(
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source_dir: str,
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source_imports: Sequence[str],
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target_imports: Sequence[str],
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target_dir: Optional[str] = None,
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lightning_by: str = "",
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) -> None:
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"""Copy package content with import adjustments."""
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print(f"Replacing imports: {locals()}")
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assert len(source_imports) == len(target_imports), (
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"source and target imports must have the same length, "
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f"source: {len(source_imports)}, target: {len(target_imports)}"
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)
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if target_dir is None:
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target_dir = source_dir
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ls = _retrieve_files(source_dir)
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for fp in ls:
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fp_new = fp.replace(source_dir, target_dir)
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_, ext = os.path.splitext(fp)
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if ext in (".png", ".jpg", ".ico"):
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os.makedirs(dirname(fp_new), exist_ok=True)
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if not isfile(fp_new):
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shutil.copy(fp, fp_new)
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continue
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elif ext in (".pyc",):
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continue
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# Try to parse everything else
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with open(fp, encoding="utf-8") as fo:
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try:
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lines = fo.readlines()
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except UnicodeDecodeError:
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# a binary file, skip
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print(f"Skipped replacing imports for {fp}")
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continue
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lines = _replace_imports(lines, list(zip(source_imports, target_imports)), lightning_by=lightning_by)
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os.makedirs(os.path.dirname(fp_new), exist_ok=True)
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with open(fp_new, "w", encoding="utf-8") as fo:
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fo.writelines(lines)
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def create_mirror_package(source_dir: str, package_mapping: Dict[str, str]) -> None:
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# replace imports and copy the code
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mapping = package_mapping.copy()
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mapping.pop("lightning", None) # pop this key to avoid replacing `lightning` to `lightning.lightning`
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mapping = {f"lightning.{sp}": sl for sp, sl in mapping.items()}
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for pkg_from, pkg_to in mapping.items():
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copy_replace_imports(
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source_dir=os.path.join(source_dir, pkg_from.replace(".", os.sep)),
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# pytorch_lightning uses lightning_fabric, so we need to replace all imports for all directories
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source_imports=mapping.keys(),
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target_imports=mapping.values(),
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target_dir=os.path.join(source_dir, pkg_to.replace(".", os.sep)),
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lightning_by=pkg_from,
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)
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class AssistantCLI:
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@staticmethod
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def requirements_prune_pkgs(packages: Sequence[str], req_files: Sequence[str] = REQUIREMENT_FILES_ALL) -> None:
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"""Remove some packages from given requirement files."""
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if isinstance(req_files, str):
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req_files = [req_files]
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for req in req_files:
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AssistantCLI._prune_packages(req, packages)
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@staticmethod
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def _prune_packages(req_file: str, packages: Sequence[str]) -> None:
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"""Remove some packages from given requirement files."""
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path = Path(req_file)
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assert path.exists()
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text = path.read_text()
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lines = text.splitlines()
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final = []
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for line in lines:
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ln_ = line.strip()
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if not ln_ or ln_.startswith("#"):
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final.append(line)
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continue
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req = list(parse_requirements(ln_))[0]
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if req.name not in packages:
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final.append(line)
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print(final)
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path.write_text("\n".join(final) + "\n")
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@staticmethod
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def _replace_min(fname: str) -> None:
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req = open(fname, encoding="utf-8").read().replace(">=", "==")
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open(fname, "w", encoding="utf-8").write(req)
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@staticmethod
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def replace_oldest_ver(requirement_fnames: Sequence[str] = REQUIREMENT_FILES_ALL) -> None:
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"""Replace the min package version by fixed one."""
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for fname in requirement_fnames:
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AssistantCLI._replace_min(fname)
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@staticmethod
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def copy_replace_imports(
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source_dir: str,
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source_import: str,
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target_import: str,
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target_dir: Optional[str] = None,
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lightning_by: str = "",
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) -> None:
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"""Copy package content with import adjustments."""
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source_imports = source_import.strip().split(",")
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target_imports = target_import.strip().split(",")
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copy_replace_imports(
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source_dir, source_imports, target_imports, target_dir=target_dir, lightning_by=lightning_by
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)
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if __name__ == "__main__":
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import jsonargparse
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jsonargparse.CLI(AssistantCLI, as_positional=False)
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