17 changed files with 1 additions and 1288 deletions
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@ -1,18 +0,0 @@
 {
    "workbench.colorCustomizations": {
        "titleBar.activeBackground": "#ffb5d5",
        "titleBar.activeForeground": "#000000",
        "titleBar.inactiveBackground": "#ffb5d5",
        "titleBar.inactiveForeground": "#000000",
        "titleBar.border": "#ffb5d5",
        "activityBar.background": "#ffb5d5",
        "activityBar.foreground": "#000000",
        "statusBar.background": "#ffb5d5",
        "statusBar.foreground": "#000000",
        "statusBar.debuggingBackground": "#ffb5d5",
        "statusBar.debuggingForeground": "#000000",
        "tab.activeBorder": "#ffb5d5",
        "iLoveWorkSpaceColors": true,
        "iLoveWorkSpaceRandom": false
    }
 }
--- a/181
+++ b/181
@ -1,181 +0,0 @@
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--- a/README.md
+++ b/README.md
@ -1,35 +1,3 @@
 # lazy_config
-剥离 detectron2 的 LazyConfig 功能，用于通用任务的项目模板。
+剥离 detectron2 的 LazyConfig 功能，用于通用任务的项目模板。
 ## How to create your own package based on this package.
 Use the following command to create a new package based on this package:
 ```bash
 python init.py your-package-name
 ```
 It will replace the current package name (`lazy_config`) with your own package name in the code base.
 However, you need to modify the author name and email in `pyproject.toml`.
 Then you should use `pip install -e .[dev]` to install the package in editable mode.
 After the project is created, you can delete the `init.py` file and start working on your project.
 ## Usage
 See the example in `projects/lazy_config_demo/main.py` and run it with the following command:
 ```
 PYTHONPATH=. python projects/lazy_config_demo/main.py projects/lazy_config_demo/config.py MODEL.in_features=10
 ```
 ## Principles
 - `LazyCall` (or `L`): 这是让你能够以惰性方式定义对象构建的语法糖。
 - `instantiate()` function: 这是将惰性配置（带有 _target_ 的 omegaconf 对象）转换为实际 Python 对象的关键函数。它会处理递归实例化和参数传递。
 - `parse_args_and_configs()` function: 它允许你读取命令行参数和配置文件，并将它们合并成一个 omegaconf 对象。
--- a/init.py
+++ b/init.py
@ -1,269 +0,0 @@
 import argparse
 import keyword
 import os
 import re
 import shutil
 import sys
 def main():
    args = argparse.ArgumentParser()
    args.add_argument("new_package_name")
    args.add_argument("--dry-run", action="store_true")
    args = args.parse_args()
    is_valid_name, reason = is_valid_python_package_name(args.new_package_name)
    assert is_valid_name, reason
    replace_in_multiple_paths([
        "lazy_config",
        "projects",
        "README.md",
        "pyproject.toml"
        ],
        old_word="lazy_config",
        new_word=args.new_package_name,
        file_extensions=('.py', '.md', '.toml'),
        dry_run=args.dry_run
        )
    if not args.dry_run:
        shutil.move("lazy_config", args.new_package_name)
 def is_valid_python_package_name(name: str) -> tuple[bool, str]:
    """
    检查一个字符串是否是合格的 Python 包/模块名。
    这个函数综合考虑了 Python 语法规则和一些常见的最佳实践。
    Args:
        name (str): 要检查的字符串。
    Returns:
        tuple[bool, str]: 一个元组，第一个元素是布尔值（True 表示合格，False 表示不合格），
                          第二个元素是不合格的原因或“Valid.”。
    """
    if not name:
        return False, "包/模块名不能为空。"
    # 将包名按点分割成各个组件
    segments = name.split('.')
    for segment in segments:
        if not segment:
            return False, f"包/模块名 '{name}' 包含空组件 (例如 'a..b' 或开头/结尾是点)。"
        # 规则1: 每个组件都必须是有效的 Python 标识符。
        # isidentifier() 检查了：
        # - 以字母或下划线开头 (不能以数字开头)
        # - 仅包含字母、数字或下划线
        # - 非空 (虽然上面单独检查了)
        if not segment.isidentifier():
            return False, f"组件 '{segment}' 在 '{name}' 中不是一个有效的 Python 标识符。"
        # 规则2: 每个组件都不能是 Python 关键字。
        if keyword.iskeyword(segment):
            return False, f"组件 '{segment}' 在 '{name}' 中是一个 Python 关键字。"
        # 规则3 (强烈建议): 避免与内置模块名冲突。
        # 尽管技术上可以导入，但这会导致混淆和潜在的导入问题。
        if segment in sys.builtin_module_names:
            return False, f"组件 '{segment}' 在 '{name}' 中与一个内置的 Python 模块名冲突。"
        # 仅作为PEP 8风格的额外检查，不影响“合格性”，如果需要严格的PEP8，可以将其改为返回False
        # if not segment.islower() and not segment.startswith('__') and not segment.endswith('__'):
        #     # 允许像 __init__ 这样的特殊名称不是小写
        #     # 对于普通的模块/包名，PEP 8 推荐全小写
        #     # return False, f"组件 '{segment}' 在 '{name}' 中不符合 PEP 8 的全小写命名约定。"
        # if segment.startswith('_') and not segment == '__init__':
        #     # PEP 8 鼓励避免普通模块/包名的前导下划线
        #     # return False, f"组件 '{segment}' 在 '{name}' 中不符合 PEP 8 的前导下划线约定。"
        # if segment.endswith('_'):
        #     # PEP 8 鼓励避免普通模块/包名的尾随下划线
        #     # return False, f"组件 '{segment}' 在 '{name}' 中不符合 PEP 8 的尾随下划线约定。"
        pass
    return True, "Valid."
 def replace_in_single_file(file_path: str, old_word: str, new_word: str, 
                           encoding: str = 'utf-8', dry_run: bool = False) -> tuple[bool, list[str]]:
    """
    在单个文件中替换特定全字匹配的字符串，并记录每一处替换内容。
    支持 dry_run 模式。
    Args:
        file_path (str): 文件的完整路径。
        old_word (str): 要被替换的全字匹配字符串。
        new_word (str): 替换成的字符串。
        encoding (str): 读取和写入文件时使用的编码。
        dry_run (bool): 如果为 True, 则只记录将要进行的替换，不实际修改文件。
    Returns:
        tuple[bool, list[str]]: 
            - bool: 是否存在匹配并进行了（或将要进行）替换。
            - list[str]: 记录了所有替换操作（或模拟操作）的文本日志。
                          每个日志条目包含行号和高亮显示的代码行。
    """
    replacement_logs = []
    try:
        if not os.path.exists(file_path):
            replacement_logs.append(f"  Error: File not found: {file_path}")
            return False, replacement_logs
        with open(file_path, 'r', encoding=encoding) as f:
            content = f.read()
        pattern = r"\b" + re.escape(old_word) + r"\b"
        matches = list(re.finditer(pattern, content))
        if not matches:
            return False, [] # 没有匹配，直接返回
        def repl_func(match):
            match_start = match.start()
            line_num = content[:match_start].count('\n') + 1
            line_start_idx = content.rfind('\n', 0, match_start) + 1
            line_end_idx = content.find('\n', match.end())
            if line_end_idx == -1:
                line_end_idx = len(content)
            original_line = content[line_start_idx:line_end_idx].strip()
            relative_match_start = match_start - line_start_idx
            relative_match_end = match.end() - line_start_idx
            highlighted_line = (
                original_line[:relative_match_start] +
                f"**{original_line[relative_match_start:relative_match_end]}**" +
                original_line[relative_match_end:]
            )
            replacement_logs.append(f"  L{line_num:<4}: '{highlighted_line}' -> '{new_word}'")
            return new_word
        new_content = re.sub(pattern, repl_func, content)
        if not dry_run:
            with open(file_path, 'w', encoding=encoding) as f:
                f.write(new_content)
        return True, replacement_logs
    except Exception as e:
        replacement_logs.append(f"  Error processing {file_path}: {e}")
        return False, replacement_logs
 # --- 新增的辅助函数 (保持不变) ---
 def _process_a_file(file_path: str, old_word: str, new_word: str, 
                    file_extensions: tuple[str, ...], # 变更：现在是元组
                    encoding: str, dry_run: bool, stats: dict):
    """
    辅助函数，封装了对单个文件的处理逻辑并更新统计信息。
    """
    # 检查文件扩展名是否符合要求
    # 如果 file_extensions 是空元组，表示不限制后缀，总是匹配
    if file_extensions and not file_path.endswith(file_extensions): # endswith 可以直接接受元组
        stats['skipped'] += 1
        return
    found_match, logs = replace_in_single_file(
        file_path, old_word, new_word, encoding, dry_run
    )
    if logs:
        print(f"File: {file_path}")
        for log_entry in logs:
            print(log_entry)
        print("-" * (len(file_path) + 6))
    if found_match:
        if not dry_run:
            print(f"  ✔ Modified: {file_path}\n")
        else:
            print(f"  ✔ Will modify: {file_path}\n")
        stats['modified'] += 1
    elif not logs and os.path.exists(file_path):
        stats['skipped'] += 1
    else:
        stats['errors'] += 1
 # --- 修改后的主协调函数 ---
 def replace_in_multiple_paths(paths_to_process: list[str], old_word: str, new_word: str, 
                              file_extensions: str | tuple[str, ...] = (), # 变更：接受字符串或元组
                              encoding: str = 'utf-8', 
                              dry_run: bool = False):
    """
    根据提供的文件和文件夹路径列表，替换所有全字匹配的字符串。
    支持 dry_run 模式，并允许多种文件后缀过滤。
    Args:
        paths_to_process (list[str]): 包含要处理的文件和/或文件夹路径的列表。
        old_word (str): 要被替换的全字匹配字符串。
        new_word (str): 替换成的字符串。
        file_extensions (str | tuple[str, ...]): 
            要处理的文件扩展名。可以是单个字符串 (例如 ".py")，
            也可以是字符串元组 (例如 (".py", ".txt"))。
            默认 (空元组) 表示处理所有文件扩展名。
        encoding (str): 读取和写入文件时使用的编码。
        dry_run (bool): 如果为 True, 则只打印将要进行的替换，不实际修改文件。
    """
    # Normalize file_extensions to always be a tuple, empty if no filter
    if isinstance(file_extensions, str):
        if file_extensions == "":
            normalized_file_extensions = ()
        else:
            normalized_file_extensions = (file_extensions,)
    else:
        normalized_file_extensions = file_extensions
    action_verb = "Simulating replacement" if dry_run else "Performing replacement"
    print(f"--- {action_verb} ---")
    print(f"Searching for full word '{old_word}'")
    print(f"Replacing with '{new_word}'")
    print(f"In paths: {paths_to_process}")
    if normalized_file_extensions:
        print(f"Filtered by extensions: {','.join(normalized_file_extensions)}")
    else:
        print(f"No extension filter (processing all files).")
    if dry_run:
        print("          (DRY RUN: No files will be modified)")
    print("-" * 60)
    stats = {'modified': 0, 'skipped': 0, 'errors': 0, 'invalid_paths': 0}
    for path in paths_to_process:
        if not os.path.exists(path):
            print(f"‼ Warning: Path does not exist and will be skipped: '{path}'\n")
            stats['invalid_paths'] += 1
            continue
        if os.path.isfile(path):
            _process_a_file(path, old_word, new_word, normalized_file_extensions, encoding, dry_run, stats)
        elif os.path.isdir(path):
            # print(f"Processing directory: '{path}'\n")
            for root, _, files in os.walk(path):
                for file_name in files:
                    file_path = os.path.join(root, file_name)
                    _process_a_file(file_path, old_word, new_word, normalized_file_extensions, encoding, dry_run, stats)
        else:
            print(f"‼ Warning: Skipping '{path}' (not a file or directory).\n")
            stats['invalid_paths'] += 1
    print("\n" + "=" * 60)
    print("--- Summary ---")
    print(f"Total files checked: {stats['modified'] + stats['skipped'] + stats['errors']}")
    print(f"Files to be modified/modified: {stats['modified']}")
    print(f"Files skipped (word not found or extension mismatch): {stats['skipped']}")
    print(f"Files with errors: {stats['errors']}")
    print(f"Invalid paths provided: {stats['invalid_paths']}")
    print("=" * 60)
 if __name__ == "__main__":
    main()
--- a/lazy_config/init.py
+++ b/lazy_config/init.py
--- a/lazy_config/utils/init.py
+++ b/lazy_config/utils/init.py
--- a/lazy_config/utils/config/init.py
+++ b/lazy_config/utils/config/init.py
@ -1,10 +0,0 @@
 from .instantiate import instantiate
 from .lazy import LazyCall, LazyConfig
 from .argparser import parse_args_and_configs
 __all__ = [
    "instantiate",
    "LazyCall",
    "LazyConfig",
    "parse_args_and_configs",
 ]
--- a/lazy_config/utils/config/argparser.py
+++ b/lazy_config/utils/config/argparser.py
@ -1,28 +0,0 @@
 import argparse
 import os
 from .lazy import LazyConfig
 def parse_args_and_configs(program_description: str = ""):
    parser = argparse.ArgumentParser(description=program_description)
    parser.add_argument(
        "config_file",
        metavar="FILE",
        help="path to config file",
    )
    parser.add_argument(
        "opts",
        help="Modify config options using the command-line 'KEY VALUE' pairs",
        default=None,
        nargs=argparse.REMAINDER,
    )
    args = parser.parse_args()
    if not os.path.exists(args.config_file):
        raise FileNotFoundError(f"Config file not found: {args.config_file}")
    cfg = LazyConfig.load(args.config_file)
    if args.opts:
        cfg.merge_with_dotlist(args.opts)
    return cfg
--- a/lazy_config/utils/config/instantiate.py
+++ b/lazy_config/utils/config/instantiate.py
@ -1,101 +0,0 @@
 # -*- coding: utf-8 -*-
 # Original Copyright (c) Facebook, Inc. and its affiliates.
 # This file has been modified by Yuyao Huang (C) 2025.
 # SPDX-License-Identifier: Apache-2.0
 #
 # This file is based on code from Detectron2 (https://github.com/facebookresearch/detectron2)
 # and is licensed under the Apache License, Version 2.0.
 # You may obtain a copy of the License at (http://www.apache.org/licenses/LICENSE-2.0).
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import collections.abc as abc
 import dataclasses
 import logging
 from typing import Any
 from lazy_config.utils.registry import _convert_target_to_string, locate
 __all__ = ["dump_dataclass", "instantiate"]
 def dump_dataclass(obj: Any):
    """
    Dump a dataclass recursively into a dict that can be later instantiated.
    Args:
        obj: a dataclass object
    Returns:
        dict
    """
    assert dataclasses.is_dataclass(obj) and not isinstance(
        obj, type
    ), "dump_dataclass() requires an instance of a dataclass."
    ret = {"_target_": _convert_target_to_string(type(obj))}
    for f in dataclasses.fields(obj):
        v = getattr(obj, f.name)
        if dataclasses.is_dataclass(v):
            v = dump_dataclass(v)
        if isinstance(v, (list, tuple)):
            v = [dump_dataclass(x) if dataclasses.is_dataclass(x) else x for x in v]
        ret[f.name] = v
    return ret
 def instantiate(cfg):
    """
    Recursively instantiate objects defined in dictionaries by
    "_target_" and arguments.
    Args:
        cfg: a dict-like object with "_target_" that defines the caller, and
            other keys that define the arguments
    Returns:
        object instantiated by cfg
    """
    from omegaconf import ListConfig, DictConfig, OmegaConf
    if isinstance(cfg, ListConfig):
        lst = [instantiate(x) for x in cfg]
        return ListConfig(lst, flags={"allow_objects": True})
    if isinstance(cfg, list):
        # Specialize for list, because many classes take
        # list[objects] as arguments, such as ResNet, DatasetMapper
        return [instantiate(x) for x in cfg]
    # If input is a DictConfig backed by dataclasses (i.e. omegaconf's structured config),
    # instantiate it to the actual dataclass.
    if isinstance(cfg, DictConfig) and dataclasses.is_dataclass(cfg._metadata.object_type):
        return OmegaConf.to_object(cfg)
    if isinstance(cfg, abc.Mapping) and "_target_" in cfg:
        # conceptually equivalent to hydra.utils.instantiate(cfg) with _convert_=all,
        # but faster: https://github.com/facebookresearch/hydra/issues/1200
        cfg = {k: instantiate(v) for k, v in cfg.items()}
        cls = cfg.pop("_target_")
        cls = instantiate(cls)
        if isinstance(cls, str):
            cls_name = cls
            cls = locate(cls_name)
            assert cls is not None, cls_name
        else:
            try:
                cls_name = cls.__module__ + "." + cls.__qualname__
            except Exception:
                # target could be anything, so the above could fail
                cls_name = str(cls)
        assert callable(cls), f"_target_ {cls} does not define a callable object"
        try:
            return cls(**cfg)
        except TypeError:
            logger = logging.getLogger(__name__)
            logger.error(f"Error when instantiating {cls_name}!")
            raise
    return cfg  # return as-is if don't know what to do
--- a/lazy_config/utils/config/lazy.py
+++ b/lazy_config/utils/config/lazy.py
@ -1,449 +0,0 @@
 # -*- coding: utf-8 -*-
 # Original Copyright (c) Facebook, Inc. and its affiliates.
 # This file has been modified by Yuyao Huang (C) 2025.
 # SPDX-License-Identifier: Apache-2.0
 #
 # This file is based on code from Detectron2 (https://github.com/facebookresearch/detectron2)
 # and is licensed under the Apache License, Version 2.0.
 # You may obtain a copy of the License at (http://www.apache.org/licenses/LICENSE-2.0).
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import ast
 import builtins
 import collections.abc as abc
 import importlib
 import inspect
 import logging
 import os
 import uuid
 from contextlib import contextmanager
 from copy import deepcopy
 from dataclasses import is_dataclass
 from typing import List, Tuple, Union
 import cloudpickle
 import yaml
 from omegaconf import DictConfig, ListConfig, OmegaConf, SCMode
 from lazy_config.utils.file_io import PathManager
 from lazy_config.utils.registry import _convert_target_to_string
 __all__ = ["LazyCall", "LazyConfig"]
 class LazyCall:
    """
    Wrap a callable so that when it's called, the call will not be executed,
    but returns a dict that describes the call.
    LazyCall object has to be called with only keyword arguments. Positional
    arguments are not yet supported.
    Examples:
    ::
        from detectron2.config import instantiate, LazyCall
        layer_cfg = LazyCall(nn.Conv2d)(in_channels=32, out_channels=32)
        layer_cfg.out_channels = 64   # can edit it afterwards
        layer = instantiate(layer_cfg)
    """
    def __init__(self, target):
        if not (callable(target) or isinstance(target, (str, abc.Mapping))):
            raise TypeError(
                f"target of LazyCall must be a callable or defines a callable! Got {target}"
            )
        self._target = target
    def __call__(self, **kwargs):
        if is_dataclass(self._target):
            # omegaconf object cannot hold dataclass type
            # https://github.com/omry/omegaconf/issues/784
            target = _convert_target_to_string(self._target)
        else:
            target = self._target
        kwargs["_target_"] = target
        return DictConfig(content=kwargs, flags={"allow_objects": True})
 def _visit_dict_config(cfg, func):
    """
    Apply func recursively to all DictConfig in cfg.
    """
    if isinstance(cfg, DictConfig):
        func(cfg)
        for v in cfg.values():
            _visit_dict_config(v, func)
    elif isinstance(cfg, ListConfig):
        for v in cfg:
            _visit_dict_config(v, func)
 def _validate_py_syntax(filename):
    # see also https://github.com/open-mmlab/mmcv/blob/master/mmcv/utils/config.py
    with PathManager.open(filename, "r") as f:
        content = f.read()
    try:
        ast.parse(content)
    except SyntaxError as e:
        raise SyntaxError(f"Config file {filename} has syntax error!") from e
 def _cast_to_config(obj):
    # if given a dict, return DictConfig instead
    if isinstance(obj, dict):
        return DictConfig(obj, flags={"allow_objects": True})
    return obj
 _CFG_PACKAGE_NAME = "detectron2._cfg_loader"
 """
 A namespace to put all imported config into.
 """
 def _random_package_name(filename):
    # generate a random package name when loading config files
    return _CFG_PACKAGE_NAME + str(uuid.uuid4())[:4] + "." + os.path.basename(filename)
@contextmanager
 def _patch_import():
    """
    Enhance relative import statements in config files, so that they:
    1. locate files purely based on relative location, regardless of packages.
       e.g. you can import file without having __init__
    2. do not cache modules globally; modifications of module states has no side effect
    3. support other storage system through PathManager, so config files can be in the cloud
    4. imported dict are turned into omegaconf.DictConfig automatically
    """
    old_import = builtins.__import__
    def find_relative_file(original_file, relative_import_path, level):
        # NOTE: "from . import x" is not handled. Because then it's unclear
        # if such import should produce `x` as a python module or DictConfig.
        # This can be discussed further if needed.
        relative_import_err = """
 Relative import of directories is not allowed within config files.
 Within a config file, relative import can only import other config files.
 """.replace(
            "\n", " "
        )
        if not len(relative_import_path):
            raise ImportError(relative_import_err)
        cur_file = os.path.dirname(original_file)
        for _ in range(level - 1):
            cur_file = os.path.dirname(cur_file)
        cur_name = relative_import_path.lstrip(".")
        for part in cur_name.split("."):
            cur_file = os.path.join(cur_file, part)
        if not cur_file.endswith(".py"):
            cur_file += ".py"
        if not PathManager.isfile(cur_file):
            cur_file_no_suffix = cur_file[: -len(".py")]
            if PathManager.isdir(cur_file_no_suffix):
                raise ImportError(f"Cannot import from {cur_file_no_suffix}." + relative_import_err)
            else:
                raise ImportError(
                    f"Cannot import name {relative_import_path} from "
                    f"{original_file}: {cur_file} does not exist."
                )
        return cur_file
    def new_import(name, globals=None, locals=None, fromlist=(), level=0):
        if (
            # Only deal with relative imports inside config files
            level != 0
            and globals is not None
            and (globals.get("__package__", "") or "").startswith(_CFG_PACKAGE_NAME)
        ):
            cur_file = find_relative_file(globals["__file__"], name, level)
            _validate_py_syntax(cur_file)
            spec = importlib.machinery.ModuleSpec(
                _random_package_name(cur_file), None, origin=cur_file
            )
            module = importlib.util.module_from_spec(spec)
            module.__file__ = cur_file
            with PathManager.open(cur_file) as f:
                content = f.read()
            exec(compile(content, cur_file, "exec"), module.__dict__)
            for name in fromlist:  # turn imported dict into DictConfig automatically
                val = _cast_to_config(module.__dict__[name])
                module.__dict__[name] = val
            return module
        return old_import(name, globals, locals, fromlist=fromlist, level=level)
    builtins.__import__ = new_import
    yield new_import
    builtins.__import__ = old_import
 class LazyConfig:
    """
    Provide methods to save, load, and overrides an omegaconf config object
    which may contain definition of lazily-constructed objects.
    """
    @staticmethod
    def load_rel(filename: str, keys: Union[None, str, Tuple[str, ...]] = None):
        """
        Similar to :meth:`load()`, but load path relative to the caller's
        source file.
        This has the same functionality as a relative import, except that this method
        accepts filename as a string, so more characters are allowed in the filename.
        """
        caller_frame = inspect.stack()[1]
        caller_fname = caller_frame[0].f_code.co_filename
        assert caller_fname != "<string>", "load_rel Unable to find caller"
        caller_dir = os.path.dirname(caller_fname)
        filename = os.path.join(caller_dir, filename)
        return LazyConfig.load(filename, keys)
    @staticmethod
    def load(filename: str, keys: Union[None, str, Tuple[str, ...]] = None):
        """
        Load a config file.
        Args:
            filename: absolute path or relative path w.r.t. the current working directory
            keys: keys to load and return. If not given, return all keys
                (whose values are config objects) in a dict.
        """
        has_keys = keys is not None
        filename = filename.replace("/./", "/")  # redundant
        if os.path.splitext(filename)[1] not in [".py", ".yaml", ".yml"]:
            raise ValueError(f"Config file {filename} has to be a python or yaml file.")
        if filename.endswith(".py"):
            _validate_py_syntax(filename)
            with _patch_import():
                # Record the filename
                module_namespace = {
                    "__file__": filename,
                    "__package__": _random_package_name(filename),
                }
                with PathManager.open(filename) as f:
                    content = f.read()
                # Compile first with filename to:
                # 1. make filename appears in stacktrace
                # 2. make load_rel able to find its parent's (possibly remote) location
                exec(compile(content, filename, "exec"), module_namespace)
            ret = module_namespace
        else:
            with PathManager.open(filename) as f:
                obj = yaml.unsafe_load(f)
            ret = OmegaConf.create(obj, flags={"allow_objects": True})
        if has_keys:
            if isinstance(keys, str):
                return _cast_to_config(ret[keys])
            else:
                return tuple(_cast_to_config(ret[a]) for a in keys)
        else:
            if filename.endswith(".py"):
                # when not specified, only load those that are config objects
                ret = DictConfig(
                    {
                        name: _cast_to_config(value)
                        for name, value in ret.items()
                        if isinstance(value, (DictConfig, ListConfig, dict))
                        and not name.startswith("_")
                    },
                    flags={"allow_objects": True},
                )
            return ret
    @staticmethod
    def save(cfg, filename: str):
        """
        Save a config object to a yaml file.
        Note that when the config dictionary contains complex objects (e.g. lambda),
        it can't be saved to yaml. In that case we will print an error and
        attempt to save to a pkl file instead.
        Args:
            cfg: an omegaconf config object
            filename: yaml file name to save the config file
        """
        logger = logging.getLogger(__name__)
        try:
            cfg = deepcopy(cfg)
        except Exception:
            pass
        else:
            # if it's deep-copyable, then...
            def _replace_type_by_name(x):
                if "_target_" in x and callable(x._target_):
                    try:
                        x._target_ = _convert_target_to_string(x._target_)
                    except AttributeError:
                        pass
            # not necessary, but makes yaml looks nicer
            _visit_dict_config(cfg, _replace_type_by_name)
        save_pkl = False
        try:
            dict = OmegaConf.to_container(
                cfg,
                # Do not resolve interpolation when saving, i.e. do not turn ${a} into
                # actual values when saving.
                resolve=False,
                # Save structures (dataclasses) in a format that can be instantiated later.
                # Without this option, the type information of the dataclass will be erased.
                structured_config_mode=SCMode.INSTANTIATE,
            )
            dumped = yaml.dump(dict, default_flow_style=None, allow_unicode=True, width=9999)
            with PathManager.open(filename, "w") as f:
                f.write(dumped)
            try:
                _ = yaml.unsafe_load(dumped)  # test that it is loadable
            except Exception:
                logger.warning(
                    "The config contains objects that cannot serialize to a valid yaml. "
                    f"{filename} is human-readable but cannot be loaded."
                )
                save_pkl = True
        except Exception:
            logger.exception("Unable to serialize the config to yaml. Error:")
            save_pkl = True
        if save_pkl:
            new_filename = filename + ".pkl"
            try:
                # retry by pickle
                with PathManager.open(new_filename, "wb") as f:
                    cloudpickle.dump(cfg, f)
                logger.warning(f"Config is saved using cloudpickle at {new_filename}.")
            except Exception:
                pass
    @staticmethod
    def apply_overrides(cfg, overrides: List[str]):
        """
        In-place override contents of cfg.
        Args:
            cfg: an omegaconf config object
            overrides: list of strings in the format of "a=b" to override configs.
                See https://hydra.cc/docs/next/advanced/override_grammar/basic/
                for syntax.
        Returns:
            the cfg object
        """
        def safe_update(cfg, key, value):
            parts = key.split(".")
            for idx in range(1, len(parts)):
                prefix = ".".join(parts[:idx])
                v = OmegaConf.select(cfg, prefix, default=None)
                if v is None:
                    break
                if not OmegaConf.is_config(v):
                    raise KeyError(
                        f"Trying to update key {key}, but {prefix} "
                        f"is not a config, but has type {type(v)}."
                    )
            OmegaConf.update(cfg, key, value, merge=True)
        try:
            from hydra.core.override_parser.overrides_parser import OverridesParser
            has_hydra = True
        except ImportError:
            has_hydra = False
        if has_hydra:
            parser = OverridesParser.create()
            overrides = parser.parse_overrides(overrides)
            for o in overrides:
                key = o.key_or_group
                value = o.value()
                if o.is_delete():
                    # TODO support this
                    raise NotImplementedError("deletion is not yet a supported override")
                safe_update(cfg, key, value)
        else:
            # Fallback. Does not support all the features and error checking like hydra.
            for o in overrides:
                key, value = o.split("=")
                try:
                    value = ast.literal_eval(value)
                except NameError:
                    pass
                safe_update(cfg, key, value)
        return cfg
    @staticmethod
    def to_py(cfg, prefix: str = "cfg."):
        """
        Try to convert a config object into Python-like psuedo code.
        Note that perfect conversion is not always possible. So the returned
        results are mainly meant to be human-readable, and not meant to be executed.
        Args:
            cfg: an omegaconf config object
            prefix: root name for the resulting code (default: "cfg.")
        Returns:
            str of formatted Python code
        """
        import black
        cfg = OmegaConf.to_container(cfg, resolve=True)
        def _to_str(obj, prefix=None, inside_call=False):
            if prefix is None:
                prefix = []
            if isinstance(obj, abc.Mapping) and "_target_" in obj:
                # Dict representing a function call
                target = _convert_target_to_string(obj.pop("_target_"))
                args = []
                for k, v in sorted(obj.items()):
                    args.append(f"{k}={_to_str(v, inside_call=True)}")
                args = ", ".join(args)
                call = f"{target}({args})"
                return "".join(prefix) + call
            elif isinstance(obj, abc.Mapping) and not inside_call:
                # Dict that is not inside a call is a list of top-level config objects that we
                # render as one object per line with dot separated prefixes
                key_list = []
                for k, v in sorted(obj.items()):
                    if isinstance(v, abc.Mapping) and "_target_" not in v:
                        key_list.append(_to_str(v, prefix=prefix + [k + "."]))
                    else:
                        key = "".join(prefix) + k
                        key_list.append(f"{key}={_to_str(v)}")
                return "\n".join(key_list)
            elif isinstance(obj, abc.Mapping):
                # Dict that is inside a call is rendered as a regular dict
                return (
                    "{"
                    + ",".join(
                        f"{repr(k)}: {_to_str(v, inside_call=inside_call)}"
                        for k, v in sorted(obj.items())
                    )
                    + "}"
                )
            elif isinstance(obj, list):
                return "[" + ",".join(_to_str(x, inside_call=inside_call) for x in obj) + "]"
            else:
                return repr(obj)
        py_str = _to_str(cfg, prefix=[prefix])
        try:
            return black.format_str(py_str, mode=black.Mode())
        except black.InvalidInput:
            return py_str
--- a/lazy_config/utils/file_io.py
+++ b/lazy_config/utils/file_io.py
@ -1,54 +0,0 @@
 # -*- coding: utf-8 -*-
 # Original Copyright (c) Facebook, Inc. and its affiliates.
 # This file has been modified by Yuyao Huang (C) 2025.
 # SPDX-License-Identifier: Apache-2.0
 #
 # This file is based on code from Detectron2 (https://github.com/facebookresearch/detectron2)
 # and is licensed under the Apache License, Version 2.0.
 # You may obtain a copy of the License at (http://www.apache.org/licenses/LICENSE-2.0).
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from iopath.common.file_io import HTTPURLHandler, OneDrivePathHandler, PathHandler
 from iopath.common.file_io import PathManager as PathManagerBase
 __all__ = ["PathManager", "PathHandler"]
 PathManager = PathManagerBase()
 """
 This is a detectron2 project-specific PathManager.
 We try to stay away from global PathManager in fvcore as it
 introduces potential conflicts among other libraries.
 """
 class Detectron2Handler(PathHandler):
    """
    Resolve anything that's hosted under detectron2's namespace.
    """
    PREFIX = "detectron2://"
    S3_DETECTRON2_PREFIX = "https://dl.fbaipublicfiles.com/detectron2/"
    def _get_supported_prefixes(self):
        return [self.PREFIX]
    def _get_local_path(self, path, **kwargs):
        name = path[len(self.PREFIX) :]
        return PathManager.get_local_path(self.S3_DETECTRON2_PREFIX + name, **kwargs)
    def _open(self, path, mode="r", **kwargs):
        return PathManager.open(
            self.S3_DETECTRON2_PREFIX + path[len(self.PREFIX) :], mode, **kwargs
        )
 PathManager.register_handler(HTTPURLHandler())
 PathManager.register_handler(OneDrivePathHandler())
 PathManager.register_handler(Detectron2Handler())
--- a/lazy_config/utils/registry.py
+++ b/lazy_config/utils/registry.py
@ -1,73 +0,0 @@
 # -*- coding: utf-8 -*-
 # Original Copyright (c) Facebook, Inc. and its affiliates.
 # This file has been modified by Yuyao Huang (C) 2025.
 # SPDX-License-Identifier: Apache-2.0
 #
 # This file is based on code from Detectron2 (https://github.com/facebookresearch/detectron2)
 # and is licensed under the Apache License, Version 2.0.
 # You may obtain a copy of the License at (http://www.apache.org/licenses/LICENSE-2.0).
 #
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from typing import Any
 import pydoc
 """
 `locate` maps a string (typically found in config files) to callable objects.
 """
 __all__ = ["locate"]
 def _convert_target_to_string(t: Any) -> str:
    """
    Inverse of ``locate()``.
    Args:
        t: any object with ``__module__`` and ``__qualname__``
    """
    module, qualname = t.__module__, t.__qualname__
    # Compress the path to this object, e.g. ``module.submodule._impl.class``
    # may become ``module.submodule.class``, if the later also resolves to the same
    # object. This simplifies the string, and also is less affected by moving the
    # class implementation.
    module_parts = module.split(".")
    for k in range(1, len(module_parts)):
        prefix = ".".join(module_parts[:k])
        candidate = f"{prefix}.{qualname}"
        try:
            if locate(candidate) is t:
                return candidate
        except ImportError:
            pass
    return f"{module}.{qualname}"
 def locate(name: str) -> Any:
    """
    Locate and return an object ``x`` using an input string ``{x.__module__}.{x.__qualname__}``,
    such as "module.submodule.class_name".
    Raise Exception if it cannot be found.
    """
    obj = pydoc.locate(name)
    # Some cases (e.g. torch.optim.sgd.SGD) not handled correctly
    # by pydoc.locate. Try a private function from hydra.
    if obj is None:
        try:
            # from hydra.utils import get_method - will print many errors
            from hydra.utils import _locate
        except ImportError as e:
            raise ImportError(
                f"Cannot dynamically locate object {name}!") from e
        else:
            obj = _locate(name)  # it raises if fails
    return obj
--- a/projects/.gitkeep
+++ b/projects/.gitkeep
--- a/projects/lazy_config_demo/config.py
+++ b/projects/lazy_config_demo/config.py
@ -1,9 +0,0 @@
 from lazy_config.utils.config import LazyCall as L
 from projects.lazy_config_demo.model import SimpleModule
 MODEL = L(SimpleModule)(
    in_features=128,
    out_features=256,
    activation="sigmoid"
 )
--- a/projects/lazy_config_demo/main.py
+++ b/projects/lazy_config_demo/main.py
@ -1,11 +0,0 @@
 from lazy_config.utils.config import parse_args_and_configs, instantiate
 def main():
    cfg = parse_args_and_configs()
    model = instantiate(cfg.MODEL)
    print(model)
 if __name__ == "__main__":
    main()
--- a/projects/lazy_config_demo/model.py
+++ b/projects/lazy_config_demo/model.py
@ -1,14 +0,0 @@
 class SimpleModule:
    def __init__(self,
                 in_features: int,
                 out_features: int,
                 activation: str = "relu"):
        self.in_features = in_features
        self.out_features = out_features
        self.activation = activation
        print(
            f"SimpleModule created: {in_features} -> {out_features}, activation: {activation}"
        )
--- a/pyproject.toml
+++ b/pyproject.toml
@ -1,38 +0,0 @@
 [build-system]
 requires = ["setuptools>=65.5.0", "wheel"]
 build-backend = "setuptools.build_meta"
 [project]
 name = "lazy_config" # pip install
 version = "0.1.0"
 description = "..."
 readme = "README.md" # 可选, 如果你有 README.md 文件
 requires-python = ">=3.10"
 license = {text = "Apache-2.0"} # 或者你的许可证
 authors = [
    {name = "Yuyao Huang (Sam)", email = "huangyuyao@outlook.com"},
 ]
 dependencies = [
    "cloudpickle",
    "omegaconf",
    "iopath",
    "hydra-core",
 ]
 [tool.setuptools]
 py-modules = ["lazy_config"]
 # 包含非 Python 文件
 # [tool.setuptools.package-data]
 # "package.path" = ["*.json"]
 # 命令行程序入口
 # [project.scripts]
 # script-name = "module.path:function"
 [project.optional-dependencies]
 dev = [
    "pytest",
    "pytest-cov",
    "pytest-mock",
 ]