






'''simple docstring'''







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

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


_A	:			Optional[int]         ='''<<<<<<< This should probably be modified because it mentions: '''

_A	:			List[str]         ='''=======
>>>>>>>
'''

_A	:			Optional[Any]         =[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

_A	:			List[Any]         =[
    # (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  SCREAMING_SNAKE_CASE_       (UpperCamelCase      )      ->       Any:
							return ConvertCommand(args.tfds_path				,			args.datasets_directory      )



class _lowercase	(				_lowercase		):




							@staticmethod
							def 		lowerCamelCase_				(							UpperCamelCase__:				ArgumentParser     ):
														lowerCamelCase__					:	Any         =       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:				Any			,							UpperCamelCase__:				str			,							UpperCamelCase__:				str			,							*UpperCamelCase__:				Any     ):
														lowerCamelCase__					:	List[str]         =       get_logger("""datasets-cli/converting"""     )

														lowerCamelCase__					:	Union[str, Any]         =       tfds_path
														lowerCamelCase__					:	Union[str, Any]         =       datasets_directory




							def 		lowerCamelCase_				(							self:				Optional[int]     ):
														if os.path.isdir(self._tfds_path     ):
																					lowerCamelCase__					:	int         =       os.path.abspath(self._tfds_path     )
														elif os.path.isfile(self._tfds_path     ):
																					lowerCamelCase__					:	Tuple         =       os.path.dirname(self._tfds_path     )
														else:
																					raise ValueError("""--tfds_path is neither a directory nor a file. Please check path."""     )

														lowerCamelCase__					:	Optional[Any]         =       os.path.abspath(self._datasets_directory     )

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

														lowerCamelCase__					:	Optional[Any]         =       []
														lowerCamelCase__					:	str         =       []
														lowerCamelCase__					:	str         =       {}

														if os.path.isdir(self._tfds_path     ):
																					lowerCamelCase__					:	int         =       os.listdir(UpperCamelCase__     )
														else:
																					lowerCamelCase__					:	Dict         =       [os.path.basename(self._tfds_path     )]

														for f_name in file_names:
																					self._logger.info(F'''Looking at file {f_name}'''     )
																					lowerCamelCase__					:	Union[str, Any]         =       os.path.join(UpperCamelCase__			,							UpperCamelCase__     )
																					lowerCamelCase__					:	Tuple         =       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:
																												lowerCamelCase__					:	Dict         =       f.readlines()

																					lowerCamelCase__					:	Union[str, Any]         =       []
																					lowerCamelCase__					:	List[str]         =       False
																					lowerCamelCase__					:	List[Any]         =       False
																					lowerCamelCase__					:	Optional[Any]         =       []
																					for line in lines:
																												lowerCamelCase__					:	Union[str, Any]         =       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:
																																			lowerCamelCase__					:	str         =       """import datasets\n"""
																												elif "import tensorflow" in out_line:
																																			# order is important here
																																			lowerCamelCase__					:	Optional[int]         =       """"""
																																			continue
																												elif "from absl import logging" in out_line:
																																			lowerCamelCase__					:	Union[str, Any]         =       """from datasets import logging\n"""
																												elif "getLogger" in out_line:
																																			lowerCamelCase__					:	List[Any]         =       out_line.replace("""getLogger"""			,							"""get_logger"""     )
																												elif any(expression in out_line for expression in TO_HIGHLIGHT     ):
																																			lowerCamelCase__					:	str         =       True
																																			lowerCamelCase__					:	Optional[int]         =       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:
																																										lowerCamelCase__					:	Dict         =       re.sub(UpperCamelCase__			,							UpperCamelCase__			,							UpperCamelCase__     )

                # Take care of saving utilities (to later move them together with main script)
																												if "tensorflow_datasets" in out_line:
																																			lowerCamelCase__					:	str         =       re.match(R"""from\stensorflow_datasets.*import\s([^\.\r\n]+)"""			,							UpperCamelCase__     )
																																			tfds_imports.extend(imp.strip() for imp in match.group(1     ).split(""","""     )     )
																																			lowerCamelCase__					:	Tuple         =       """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:
																																			lowerCamelCase__					:	List[Any]         =       True
																												out_lines.append(UpperCamelCase__     )

																					if is_builder or "wmt" in f_name:
																												# We create a new directory for each dataset
																												lowerCamelCase__					:	Any         =       f_name.replace(""".py"""			,							""""""     )
																												lowerCamelCase__					:	Optional[Any]         =       os.path.join(UpperCamelCase__			,							UpperCamelCase__     )
																												lowerCamelCase__					:	Union[str, Any]         =       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:
																												lowerCamelCase__					:	int         =       os.path.basename(UpperCamelCase__     )
																												lowerCamelCase__					:	Optional[int]         =       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\'.'''     )






"""simple docstring"""






import argparse
import os
import re


_lowercase : str      						=						"src/diffusers"

# Pattern that looks at the indentation in a line.
_lowercase : List[Any]      						=						re.compile(r"^(\s*)\S")
# Pattern that matches `"key":" and puts `key` in group 0.
_lowercase : int      						=						re.compile(r"^\s*\"([^\"]+)\":")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_lowercase : Optional[int]      						=						re.compile(r"^\s*_import_structure\[\"([^\"]+)\"\]")
# Pattern that matches `"key",` and puts `key` in group 0.
_lowercase : List[Any]      						=						re.compile(r"^\s*\"([^\"]+)\",\s*$")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_lowercase : str      						=						re.compile(r"\[([^\]]+)\]")






def      snake_case__   (		__lowerCamelCase				:    Optional[int]	):
			"""simple docstring"""
			lowerCamelCase__		:		List[str]			=_re_indent.search(__lowerCamelCase	)
			return "" if search is None else search.groups()[0]






def      snake_case__   (		__lowerCamelCase				:    Any							,		__lowerCamelCase				:    List[Any]=""							,		__lowerCamelCase				:    int=None							,		__lowerCamelCase				:    Optional[int]=None	):
			"""simple docstring"""
			lowerCamelCase__		:		Optional[int]			=0
			lowerCamelCase__		:		Any			=code.split('''\n'''	)
			if start_prompt is not None:
						while not lines[index].startswith(__lowerCamelCase	):
									index += 1
						lowerCamelCase__		:		Dict			=['''\n'''.join(lines[:index]	)]
			else:
						lowerCamelCase__		:		Tuple			=[]

			# We split into blocks until we get to the `end_prompt` (or the end of the block).
			lowerCamelCase__		:		int			=[lines[index]]
			index += 1
			while index < len(__lowerCamelCase	) and (end_prompt is None or not lines[index].startswith(__lowerCamelCase	)):
						if len(lines[index]	) > 0 and get_indent(lines[index]	) == indent_level:
									if len(__lowerCamelCase	) > 0 and get_indent(current_block[-1]	).startswith(indent_level + ''' '''	):
												current_block.append(lines[index]	)
												blocks.append('''\n'''.join(__lowerCamelCase	)	)
												if index < len(__lowerCamelCase	) - 1:
															lowerCamelCase__		:		str			=[lines[index + 1]]
															index += 1
												else:
															lowerCamelCase__		:		str			=[]
									else:
												blocks.append('''\n'''.join(__lowerCamelCase	)	)
												lowerCamelCase__		:		str			=[lines[index]]
						else:
									current_block.append(lines[index]	)
						index += 1

			# Adds current block if it's nonempty.
			if len(__lowerCamelCase	) > 0:
						blocks.append('''\n'''.join(__lowerCamelCase	)	)

			# Add final block after end_prompt if provided.
			if end_prompt is not None and index < len(__lowerCamelCase	):
						blocks.append('''\n'''.join(lines[index:]	)	)

			return blocks






def      snake_case__   (		__lowerCamelCase				:    Any	):
			"""simple docstring"""

			def _inner(__lowerCamelCase				:    Any	):
						return key(__lowerCamelCase	).lower().replace('''_'''							,		''''''	)

			return _inner






def      snake_case__   (		__lowerCamelCase				:    int							,		__lowerCamelCase				:    Any=None	):
			"""simple docstring"""

			# If no key is provided, we use a noop.
			def noop(__lowerCamelCase				:    List[str]	):
						return x

			if key is None:
						lowerCamelCase__		:		Tuple			=noop
			# Constants are all uppercase, they go first.
			lowerCamelCase__		:		Union[str, Any]			=[obj for obj in objects if key(__lowerCamelCase	).isupper()]
			# Classes are not all uppercase but start with a capital, they go second.
			lowerCamelCase__		:		Optional[int]			=[obj for obj in objects if key(__lowerCamelCase	)[0].isupper() and not key(__lowerCamelCase	).isupper()]
			# Functions begin with a lowercase, they go last.
			lowerCamelCase__		:		Optional[Any]			=[obj for obj in objects if not key(__lowerCamelCase	)[0].isupper()]

			lowerCamelCase__		:		int			=ignore_underscore(__lowerCamelCase	)
			return sorted(__lowerCamelCase							,		key=__lowerCamelCase	) + sorted(__lowerCamelCase							,		key=__lowerCamelCase	) + sorted(__lowerCamelCase							,		key=__lowerCamelCase	)






def      snake_case__   (		__lowerCamelCase				:    Optional[Any]	):
			"""simple docstring"""

			# This inner function sort imports between [ ].
			def _replace(__lowerCamelCase				:    Optional[Any]	):
						lowerCamelCase__		:		Dict			=match.groups()[0]
						if "," not in imports:
									return f'''[{imports}]'''
						lowerCamelCase__		:		List[Any]			=[part.strip().replace('''"'''							,		''''''	) for part in imports.split(''','''	)]
						# We will have a final empty element if the line finished with a comma.
						if len(keys[-1]	) == 0:
									lowerCamelCase__		:		Optional[int]			=keys[:-1]
						return "[" + ", ".join([f'''"{k}"''' for k in sort_objects(__lowerCamelCase	)]	) + "]"

			lowerCamelCase__		:		List[Any]			=import_statement.split('''\n'''	)
			if len(__lowerCamelCase	) > 3:
						# Here we have to sort internal imports that are on several lines (one per name):
						# key: [
						#     "object1",
						#     "object2",
						#     ...
						# ]

						# We may have to ignore one or two lines on each side.
						lowerCamelCase__		:		Tuple			=2 if lines[1].strip() == '''[''' else 1
						lowerCamelCase__		:		Any			=[(i, _re_strip_line.search(__lowerCamelCase	).groups()[0]) for i, line in enumerate(lines[idx:-idx]	)]
						lowerCamelCase__		:		List[Any]			=sort_objects(__lowerCamelCase							,		key=lambda __lowerCamelCase	: x[1]	)
						lowerCamelCase__		:		Union[str, Any]			=[lines[x[0] + idx] for x in sorted_indices]
						return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]	)
			elif len(__lowerCamelCase	) == 3:
						# Here we have to sort internal imports that are on one separate line:
						# key: [
						#     "object1", "object2", ...
						# ]
						if _re_bracket_content.search(lines[1]	) is not None:
									lowerCamelCase__		:		List[str]			=_re_bracket_content.sub(_replace							,		lines[1]	)
						else:
									lowerCamelCase__		:		str			=[part.strip().replace('''"'''							,		''''''	) for part in lines[1].split(''','''	)]
									# We will have a final empty element if the line finished with a comma.
									if len(keys[-1]	) == 0:
												lowerCamelCase__		:		Any			=keys[:-1]
									lowerCamelCase__		:		List[Any]			=get_indent(lines[1]	) + ''', '''.join([f'''"{k}"''' for k in sort_objects(__lowerCamelCase	)]	)
						return "\n".join(__lowerCamelCase	)
			else:
						# Finally we have to deal with imports fitting on one line
						lowerCamelCase__		:		Union[str, Any]			=_re_bracket_content.sub(_replace							,		__lowerCamelCase	)
						return import_statement






def      snake_case__   (		__lowerCamelCase				:    Optional[int]							,		__lowerCamelCase				:    List[Any]=True	):
			"""simple docstring"""
			with open(__lowerCamelCase							,		'''r'''	) as f:
						lowerCamelCase__		:		Optional[int]			=f.read()

			if "_import_structure" not in code:
						return

			# Blocks of indent level 0
			lowerCamelCase__		:		int			=split_code_in_indented_blocks(
			    __lowerCamelCase							,		start_prompt='''_import_structure = {'''							,		end_prompt='''if TYPE_CHECKING:'''	)

			# We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
			for block_idx in range(1							,		len(__lowerCamelCase	) - 1	):
						# Check if the block contains some `_import_structure`s thingy to sort.
						lowerCamelCase__		:		Optional[Any]			=main_blocks[block_idx]
						lowerCamelCase__		:		List[str]			=block.split('''\n'''	)

						# Get to the start of the imports.
						lowerCamelCase__		:		Any			=0
						while line_idx < len(__lowerCamelCase	) and "_import_structure" not in block_lines[line_idx]:
									# Skip dummy import blocks
									if "import dummy" in block_lines[line_idx]:
												lowerCamelCase__		:		Tuple			=len(__lowerCamelCase	)
									else:
												line_idx += 1
						if line_idx >= len(__lowerCamelCase	):
									continue

						# Ignore beginning and last line: they don't contain anything.
						lowerCamelCase__		:		Any			='''\n'''.join(block_lines[line_idx:-1]	)
						lowerCamelCase__		:		Dict			=get_indent(block_lines[1]	)
						# Slit the internal block into blocks of indent level 1.
						lowerCamelCase__		:		List[Any]			=split_code_in_indented_blocks(__lowerCamelCase							,		indent_level=__lowerCamelCase	)
						# We have two categories of import key: list or _import_structure[key].append/extend
						lowerCamelCase__		:		List[Any]			=_re_direct_key if '''_import_structure''' in block_lines[0] else _re_indirect_key
						# Grab the keys, but there is a trap: some lines are empty or just comments.
						lowerCamelCase__		:		Union[str, Any]			=[(pattern.search(__lowerCamelCase	).groups()[0] if pattern.search(__lowerCamelCase	) is not None else None) for b in internal_blocks]
						# We only sort the lines with a key.
						lowerCamelCase__		:		Optional[Any]			=[(i, key) for i, key in enumerate(__lowerCamelCase	) if key is not None]
						lowerCamelCase__		:		List[Any]			=[x[0] for x in sorted(__lowerCamelCase							,		key=lambda __lowerCamelCase	: x[1]	)]

						# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
						lowerCamelCase__		:		Optional[Any]			=0
						lowerCamelCase__		:		Tuple			=[]
						for i in range(len(__lowerCamelCase	)	):
									if keys[i] is None:
												reordered_blocks.append(internal_blocks[i]	)
									else:
												lowerCamelCase__		:		List[Any]			=sort_objects_in_import(internal_blocks[sorted_indices[count]]	)
												reordered_blocks.append(__lowerCamelCase	)
												count += 1

        # And we put our main block back together with its first and last line.
						lowerCamelCase__		:		str			='''\n'''.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]	)

			if code != "\n".join(__lowerCamelCase	):
						if check_only:
									return True
						else:
									print(f'''Overwriting {file}.'''	)
									with open(__lowerCamelCase							,		'''w'''	) as f:
												f.write('''\n'''.join(__lowerCamelCase	)	)






def      snake_case__   (		__lowerCamelCase				:    Optional[Any]=True	):
			"""simple docstring"""
			lowerCamelCase__		:		Any			=[]
			for root, _, files in os.walk(__lowerCamelCase	):
						if "__init__.py" in files:
									lowerCamelCase__		:		Tuple			=sort_imports(os.path.join(__lowerCamelCase							,		'''__init__.py'''	)							,		check_only=__lowerCamelCase	)
									if result:
												lowerCamelCase__		:		List[str]			=[os.path.join(__lowerCamelCase							,		'''__init__.py'''	)]
			if len(__lowerCamelCase	) > 0:
						raise ValueError(f'''Would overwrite {len(__lowerCamelCase	)} files, run `make style`.'''	)


if __name__ == "__main__":
		_lowercase : Any      						=						argparse.ArgumentParser()
		parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
		_lowercase : List[Any]      						=						parser.parse_args()

		sort_imports_in_all_inits(check_only=args.check_only)




