


'''simple docstring'''





import argparse
import os
import re


a : Optional[Any]		=				"""src/transformers/models/auto"""


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
a : Dict		=				re.compile(R'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
a : List[Any]		=				re.compile(R'''\s*\(\s*\"(\S[^\"]+)\"''')


def 		lowercase_  (     _UpperCamelCase       ,			_UpperCamelCase = False  ):


			'''simple docstring'''







			with open(UpperCamelCase__       ,			'''r'''       ,			encoding='''utf-8'''  ) as f:
						__lowercase 					=   f.read()

			__lowercase 					=   content.split('''\n'''  )
			__lowercase 					=   []
			__lowercase 					=   0
			while line_idx < len(UpperCamelCase__  ):
						if _re_intro_mapping.search(lines[line_idx]  ) is not None:
									__lowercase 					=   len(re.search(r'''^(\s*)\S'''       ,			lines[line_idx]  ).groups()[0]  ) + 8
									# Start of a new mapping!
									while not lines[line_idx].startswith(''' ''' * indent + '''('''  ):
												new_lines.append(lines[line_idx]  )
												line_idx += 1

									__lowercase 					=   []
									while lines[line_idx].strip() != "]":
												# Blocks either fit in one line or not
												if lines[line_idx].strip() == "(":
															__lowercase 					=   line_idx
															while not lines[line_idx].startswith(''' ''' * indent + ''')'''  ):
																		line_idx += 1
															blocks.append('''\n'''.join(lines[start_idx : line_idx + 1]  )  )
												else:
															blocks.append(lines[line_idx]  )
												line_idx += 1

									# Sort blocks by their identifiers
									__lowercase 					=   sorted(UpperCamelCase__       ,			key=lambda _UpperCamelCase  : _re_identifier.search(UpperCamelCase__  ).groups()[0]  )
									new_lines += blocks
						else:
									new_lines.append(lines[line_idx]  )
									line_idx += 1

			if overwrite:
						with open(UpperCamelCase__       ,			'''w'''       ,			encoding='''utf-8'''  ) as f:
									f.write('''\n'''.join(UpperCamelCase__  )  )
			elif "\n".join(UpperCamelCase__  ) != content:
						return True


def 		lowercase_  (     _UpperCamelCase = False  ):


			'''simple docstring'''







			__lowercase 					=   [os.path.join(UpperCamelCase__       ,			UpperCamelCase__  ) for f in os.listdir(UpperCamelCase__  ) if f.endswith('''.py'''  )]
			__lowercase 					=   [sort_auto_mapping(UpperCamelCase__       ,			overwrite=UpperCamelCase__  ) for fname in fnames]

			if not overwrite and any(UpperCamelCase__  ):
						__lowercase 					=   [f for f, d in zip(UpperCamelCase__       ,			UpperCamelCase__  ) if d]
						raise ValueError(
						    F'The following files have auto mappings that need sorting: {", ".join(UpperCamelCase__  )}. Run `make style` to fix'
						    ''' this.'''  )


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

	sort_all_auto_mappings(not args.check_only)






from __future__ import annotations

import typing
from collections.abc import Iterable

import numpy as np

a : Optional[int]		=				typing.Union[Iterable[float], Iterable[int], np.ndarray]  # noqa: UP007
a : Union[str, Any]		=				typing.Union[np.floataa, int, float]  # noqa: UP007


def 		lowercase_  (     _UpperCamelCase       ,			_UpperCamelCase  ):


			'''simple docstring'''







			return np.sqrt(np.sum((np.asarray(_UpperCamelCase  ) - np.asarray(_UpperCamelCase  )) ** 2  )  )


def 		lowercase_  (     _UpperCamelCase       ,			_UpperCamelCase  ):


			'''simple docstring'''







			return sum((va - va) ** 2 for va, va in zip(_UpperCamelCase       ,			_UpperCamelCase  )  ) ** (1 / 2)


if __name__ == "__main__":


	def 		lowercase_  (     ):


				'''simple docstring'''







				from timeit import timeit

				print('''Without Numpy'''  )
				print(
				    timeit(
				        '''euclidean_distance_no_np([1, 2, 3], [4, 5, 6])'''       ,			number=1_00_00       ,			globals=globals()       ,			)  )
				print('''With Numpy'''  )
				print(
				    timeit(
				        '''euclidean_distance([1, 2, 3], [4, 5, 6])'''       ,			number=1_00_00       ,			globals=globals()       ,			)  )





	benchmark()


