


import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowerCAmelCase	=							'src/diffusers'
lowerCAmelCase	=							'.'


# This is to make sure the diffusers module imported is the one in the repo.
lowerCAmelCase	=							importlib.util.spec_from_file_location(
    'diffusers',
    os.path.join(DIFFUSERS_PATH, '__init__.py'),
    submodule_search_locations=[DIFFUSERS_PATH],
)
lowerCAmelCase	=							spec.loader.load_module()
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		return line.startswith(SCREAMING_SNAKE_CASE					) or len(SCREAMING_SNAKE_CASE					) <= 1 or re.search(R'''^\s*\)(\s*->.*:|:)\s*$'''						,    SCREAMING_SNAKE_CASE					) is not None
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		lowercase__						=				object_name.split('''.'''					)
		lowercase__						=				0

		# First let's find the module where our object lives.
		lowercase__						=				parts[i]
		while i < len(SCREAMING_SNAKE_CASE					) and not os.path.isfile(os.path.join(SCREAMING_SNAKE_CASE						,    f'{module}.py'					)					):
				i += 1
				if i < len(SCREAMING_SNAKE_CASE					):
						lowercase__						=				os.path.join(SCREAMING_SNAKE_CASE						,    parts[i]					)
		if i >= len(SCREAMING_SNAKE_CASE					):
				raise ValueError(f'`object_name` should begin with the name of a module of diffusers but got {object_name}.'					)

		with open(os.path.join(SCREAMING_SNAKE_CASE						,    f'{module}.py'					)						,    '''r'''						,    encoding='''utf-8'''						,    newline='''\n'''					) as f:
				lowercase__						=				f.readlines()

		# Now let's find the class / func in the code!
		lowercase__						=				''''''
		lowercase__						=				0
		for name in parts[i + 1 :]:
				while (
				    line_index < len(SCREAMING_SNAKE_CASE					) and re.search(Rf'^{indent}(class|def)\s+{name}(\(|\:)'						,    lines[line_index]					) is None
				):
						line_index += 1
				indent += "    "
				line_index += 1

		if line_index >= len(SCREAMING_SNAKE_CASE					):
				raise ValueError(f' {object_name} does not match any function or class in {module}.'					)

		# We found the beginning of the class / func, now let's find the end (when the indent diminishes).
		lowercase__						=				line_index
		while line_index < len(SCREAMING_SNAKE_CASE					) and _should_continue(lines[line_index]						,    SCREAMING_SNAKE_CASE					):
				line_index += 1
		# Clean up empty lines at the end (if any).
		while len(lines[line_index - 1]					) <= 1:
				line_index -= 1

		lowercase__						=				lines[start_index:line_index]
		return "".join(SCREAMING_SNAKE_CASE					)


lowerCAmelCase	=							re.compile(R'^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)')
lowerCAmelCase	=							re.compile(R'^\s*(\S+)->(\S+)(\s+.*|$)')
lowerCAmelCase	=							re.compile(R'<FILL\s+[^>]*>')
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		lowercase__						=				code.split('''\n'''					)
		lowercase__						=				0
		while idx < len(SCREAMING_SNAKE_CASE					) and len(lines[idx]					) == 0:
				idx += 1
		if idx < len(SCREAMING_SNAKE_CASE					):
				return re.search(R'''^(\s*)\S'''						,    lines[idx]					).groups()[0]
		return ""
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		lowercase__						=				len(get_indent(SCREAMING_SNAKE_CASE					)					) > 0
		if has_indent:
				lowercase__						=				f'class Bla:\n{code}'
		lowercase__						=				black.Mode(target_versions={black.TargetVersion.PYaa}						,    line_length=1_19						,    preview=SCREAMING_SNAKE_CASE					)
		lowercase__						=				black.format_str(SCREAMING_SNAKE_CASE						,    mode=SCREAMING_SNAKE_CASE					)
		lowercase__					,		lowercase__						=				style_docstrings_in_code(SCREAMING_SNAKE_CASE					)
		return result[len('''class Bla:\n'''					) :] if has_indent else result
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=False					):


		"""simple docstring"""




		with open(SCREAMING_SNAKE_CASE						,    '''r'''						,    encoding='''utf-8'''						,    newline='''\n'''					) as f:
				lowercase__						=				f.readlines()
		lowercase__						=				[]
		lowercase__						=				0
		# Not a for loop cause `lines` is going to change (if `overwrite=True`).
		while line_index < len(SCREAMING_SNAKE_CASE					):
				lowercase__						=				_re_copy_warning.search(lines[line_index]					)
				if search is None:
						line_index += 1
						continue

				# There is some copied code here, let's retrieve the original.
				lowercase__					,		lowercase__					,		lowercase__						=				search.groups()
				lowercase__						=				find_code_in_diffusers(SCREAMING_SNAKE_CASE					)
				lowercase__						=				get_indent(SCREAMING_SNAKE_CASE					)

				lowercase__						=				line_index + 1 if indent == theoretical_indent else line_index + 2
				lowercase__						=				theoretical_indent
				lowercase__						=				start_index

				# Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
				lowercase__						=				True
				while line_index < len(SCREAMING_SNAKE_CASE					) and should_continue:
						line_index += 1
						if line_index >= len(SCREAMING_SNAKE_CASE					):
								break
						lowercase__						=				lines[line_index]
						lowercase__						=				_should_continue(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					) and re.search(f'^{indent}# End copy'						,    SCREAMING_SNAKE_CASE					) is None
				# Clean up empty lines at the end (if any).
				while len(lines[line_index - 1]					) <= 1:
						line_index -= 1

				lowercase__						=				lines[start_index:line_index]
				lowercase__						=				''''''.join(SCREAMING_SNAKE_CASE					)

				# Remove any nested `Copied from` comments to avoid circular copies
				lowercase__						=				[line for line in theoretical_code.split('''\n'''					) if _re_copy_warning.search(SCREAMING_SNAKE_CASE					) is None]
				lowercase__						=				'''\n'''.join(SCREAMING_SNAKE_CASE					)

				# Before comparing, use the `replace_pattern` on the original code.
				if len(SCREAMING_SNAKE_CASE					) > 0:
						lowercase__						=				replace_pattern.replace('''with'''						,    ''''''					).split(''','''					)
						lowercase__						=				[_re_replace_pattern.search(SCREAMING_SNAKE_CASE					) for p in patterns]
						for pattern in patterns:
								if pattern is None:
										continue
								lowercase__					,		lowercase__					,		lowercase__						=				pattern.groups()
								lowercase__						=				re.sub(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					)
								if option.strip() == "all-casing":
										lowercase__						=				re.sub(obja.lower()						,    obja.lower()						,    SCREAMING_SNAKE_CASE					)
										lowercase__						=				re.sub(obja.upper()						,    obja.upper()						,    SCREAMING_SNAKE_CASE					)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
						lowercase__						=				blackify(lines[start_index - 1] + theoretical_code					)
						lowercase__						=				theoretical_code[len(lines[start_index - 1]					) :]

				# Test for a diff and act accordingly.
				if observed_code != theoretical_code:
						diffs.append([object_name, start_index]					)
						if overwrite:
								lowercase__						=				lines[:start_index] + [theoretical_code] + lines[line_index:]
								lowercase__						=				start_index + 1

		if overwrite and len(SCREAMING_SNAKE_CASE					) > 0:
				# Warn the user a file has been modified.
				print(f'Detected changes, rewriting {filename}.'					)
				with open(SCREAMING_SNAKE_CASE						,    '''w'''						,    encoding='''utf-8'''						,    newline='''\n'''					) as f:
						f.writelines(SCREAMING_SNAKE_CASE					)
		return diffs
def       _a			(				SCREAMING_SNAKE_CASE = False					):


		"""simple docstring"""




		lowercase__						=				glob.glob(os.path.join(SCREAMING_SNAKE_CASE						,    '''**/*.py'''					)						,    recursive=SCREAMING_SNAKE_CASE					)
		lowercase__						=				[]
		for filename in all_files:
				lowercase__						=				is_copy_consistent(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					)
				diffs += [f'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
		if not overwrite and len(SCREAMING_SNAKE_CASE					) > 0:
				lowercase__						=				'''\n'''.join(SCREAMING_SNAKE_CASE					)
				raise Exception(
				    '''Found the following copy inconsistencies:\n'''
				    + diff
				    + '''\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them.'''					)


if __name__ == "__main__":
			lowerCAmelCase	=							argparse.ArgumentParser()
			parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
			lowerCAmelCase	=							parser.parse_args()

			check_copies(args.fix_and_overwrite)






import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


lowerCAmelCase	=							'<<<<<<< This should probably be modified because it mentions: '

lowerCAmelCase	=							'=======\n>>>>>>>\n'

lowerCAmelCase	=							[
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

lowerCAmelCase	=							[
    # (pattern, replacement)
    # Order is important here for some replacements
    (R'tfds\.core', R'datasets'),
    (R'tf\.io\.gfile\.GFile', R'open'),
    (R'tf\.([\w\d]+)', R'datasets.Value(\'\1\')'),
    (R'tfds\.features\.Text\(\)', R'datasets.Value(\'string\')'),
    (R'tfds\.features\.Text\(', R'datasets.Value(\'string\'),'),
    (R'features\s*=\s*tfds.features.FeaturesDict\(', R'features=datasets.Features('),
    (R'tfds\.features\.FeaturesDict\(', R'dict('),
    (R'The TensorFlow Datasets Authors', R'The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'),
    (R'tfds\.', R'datasets.'),
    (R'dl_manager\.manual_dir', R'self.config.data_dir'),
    (R'self\.builder_config', R'self.config'),
]
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		return ConvertCommand(args.tfds_path						,    args.datasets_directory					)


class 	_a							(      UpperCamelCase__      ):

							@staticmethod
							def 				lowerCamelCase_			(							UpperCamelCase_:     ArgumentParser							)      ->       int:





									"""simple docstring"""







									lowercase__						=				parser.add_parser(
									    '''convert'''   ,						help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'''   ,						)
									train_parser.add_argument(
									    '''--tfds_path'''   ,						type=UpperCamelCase_   ,						required=UpperCamelCase_   ,						help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'''   ,						)
									train_parser.add_argument(
									    '''--datasets_directory'''   ,						type=UpperCamelCase_   ,						required=UpperCamelCase_   ,						help='''Path to the HuggingFace Datasets folder.'''							)
									train_parser.set_defaults(func=UpperCamelCase_							)

							def __init__(							self:     Dict   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     str   ,						*UpperCamelCase_:     Union[str, Any]							)      ->       List[str]:





									"""simple docstring"""







									lowercase__						=				get_logger('''datasets-cli/converting'''							)

									lowercase__						=				tfds_path
									lowercase__						=				datasets_directory


							def 				lowerCamelCase_			(							self:     str							)      ->       Dict:





									"""simple docstring"""







									if os.path.isdir(self._tfds_path							):
											lowercase__						=				os.path.abspath(self._tfds_path							)
									elif os.path.isfile(self._tfds_path							):
											lowercase__						=				os.path.dirname(self._tfds_path							)
									else:
											raise ValueError('''--tfds_path is neither a directory nor a file. Please check path.'''							)

									lowercase__						=				os.path.abspath(self._datasets_directory							)

									self._logger.info(f'Converting datasets from {abs_tfds_path} to {abs_datasets_path}'							)

									lowercase__						=				[]
									lowercase__						=				[]
									lowercase__						=				{}

									if os.path.isdir(self._tfds_path							):
											lowercase__						=				os.listdir(UpperCamelCase_							)
									else:
											lowercase__						=				[os.path.basename(self._tfds_path							)]

									for f_name in file_names:
											self._logger.info(f'Looking at file {f_name}'							)
											lowercase__						=				os.path.join(UpperCamelCase_   ,						UpperCamelCase_							)
											lowercase__						=				os.path.join(UpperCamelCase_   ,						UpperCamelCase_							)

											if not os.path.isfile(UpperCamelCase_							) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
													self._logger.info('''Skipping file'''							)
													continue

											with open(UpperCamelCase_   ,						encoding='''utf-8'''							) as f:
													lowercase__						=				f.readlines()

											lowercase__						=				[]
											lowercase__						=				False
											lowercase__						=				False
											lowercase__						=				[]
											for line in lines:
													lowercase__						=				line

													# Convert imports
													if "import tensorflow.compat.v2 as tf" in out_line:
															continue
													elif "@tfds.core" in out_line:
															continue
													elif "builder=self" in out_line:
															continue
													elif "import tensorflow_datasets.public_api as tfds" in out_line:
															lowercase__						=				'''import datasets\n'''
													elif "import tensorflow" in out_line:
															# order is important here
															lowercase__						=				''''''
															continue
													elif "from absl import logging" in out_line:
															lowercase__						=				'''from datasets import logging\n'''
													elif "getLogger" in out_line:
															lowercase__						=				out_line.replace('''getLogger'''   ,						'''get_logger'''							)
													elif any(expression in out_line for expression in TO_HIGHLIGHT							):
															lowercase__						=				True
															lowercase__						=				list(filter(lambda UpperCamelCase_							: e in out_line   ,						UpperCamelCase_							)							)
															out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(UpperCamelCase_							) + '''\n'''							)
															out_lines.append(UpperCamelCase_							)
															out_lines.append(UpperCamelCase_							)
															continue
													else:
															for pattern, replacement in TO_CONVERT:
																	lowercase__						=				re.sub(UpperCamelCase_   ,						UpperCamelCase_   ,						UpperCamelCase_							)

                # Take care of saving utilities (to later move them together with main script)
													if "tensorflow_datasets" in out_line:
															lowercase__						=				re.match(r'''from\stensorflow_datasets.*import\s([^\.\r\n]+)'''   ,						UpperCamelCase_							)
															tfds_imports.extend(imp.strip() for imp in match.group(1							).split(''','''							)							)
															lowercase__						=				'''from . import ''' + match.group(1							)

													# Check we have not forget anything
													if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
															raise ValueError(f'Error converting {out_line.strip()}'							)

													if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
															lowercase__						=				True
													out_lines.append(UpperCamelCase_							)

											if is_builder or "wmt" in f_name:
													# We create a new directory for each dataset
													lowercase__						=				f_name.replace('''.py'''   ,						''''''							)
													lowercase__						=				os.path.join(UpperCamelCase_   ,						UpperCamelCase_							)
													lowercase__						=				os.path.join(UpperCamelCase_   ,						UpperCamelCase_							)
													os.makedirs(UpperCamelCase_   ,						exist_ok=UpperCamelCase_							)
													self._logger.info(f'Adding directory {output_dir}'							)
													imports_to_builder_map.update({imp: output_dir for imp in tfds_imports}							)
											else:
													# Utilities will be moved at the end
													utils_files.append(UpperCamelCase_							)

											if needs_manual_update:
													with_manual_update.append(UpperCamelCase_							)

											with open(UpperCamelCase_   ,						'''w'''   ,						encoding='''utf-8'''							) as f:
													f.writelines(UpperCamelCase_							)
											self._logger.info(f'Converted in {output_file}'							)

									for utils_file in utils_files:
											try:
													lowercase__						=				os.path.basename(UpperCamelCase_							)
													lowercase__						=				imports_to_builder_map[f_name.replace('''.py'''   ,						''''''							)]
													self._logger.info(f'Moving {dest_folder} to {utils_file}'							)
													shutil.copy(UpperCamelCase_   ,						UpperCamelCase_							)
											except KeyError:
													self._logger.error(f'Cannot find destination folder for {utils_file}. Please copy manually.'							)

									if with_manual_update:
											for file_path in with_manual_update:
													self._logger.warning(
													    f'You need to manually update file {file_path} to remove configurations using \'TextEncoderConfig\'.'							)


