
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
						import torch

						from transformers.generation import DisjunctiveConstraint
@require_torch
class  lowercase__(				unittest.TestCase							):



	"""simple docstring"""




	def 						_lowercase  (       self  :			Union[str, Any]       )       ->     List[Any]:
					# For consistency across different places the DisjunctiveConstraint is called,
					# dc.token_ids is a list of integers. It is also initialized only by integers.

					lowercase_       =					[[1, 2, 4], [1, 2, 3, 4]]
					lowercase_       =					DisjunctiveConstraint(SCREAMING_SNAKE_CASE_       )
					self.assertTrue(isinstance(dc.token_ids       ,							SCREAMING_SNAKE_CASE_       )       )

					with self.assertRaises(SCREAMING_SNAKE_CASE_       ):
									DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]       )       )

					with self.assertRaises(SCREAMING_SNAKE_CASE_       ):
									DisjunctiveConstraint([torch.LongTensor([1, 2, 4]       ), torch.LongTensor([1, 2, 3, 4, 5]       )]       )
	def 						_lowercase  (       self  :			List[str]       )       ->     Optional[Any]:
					# We can't have constraints that are complete subsets of another. This leads to a preverse
					# interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
					# It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
					# fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
					# will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
					lowercase_       =					[[1, 2], [1, 2, 3, 4]]

					with self.assertRaises(SCREAMING_SNAKE_CASE_       ):
									DisjunctiveConstraint(SCREAMING_SNAKE_CASE_       )  # fails here
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     Any:
					lowercase_       =					[[1, 2, 3], [1, 2, 4]]

					lowercase_       =					DisjunctiveConstraint(SCREAMING_SNAKE_CASE_       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(1       )
					lowercase_       =					stepped is True and completed is False and reset is False
					self.assertTrue(SCREAMING_SNAKE_CASE_       )
					self.assertTrue(not dc.completed       )
					self.assertTrue(dc.current_seq == [1]       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(2       )
					lowercase_       =					stepped is True and completed is False and reset is False
					self.assertTrue(SCREAMING_SNAKE_CASE_       )
					self.assertTrue(not dc.completed       )
					self.assertTrue(dc.current_seq == [1, 2]       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(3       )
					lowercase_       =					stepped is True and completed is True and reset is False
					self.assertTrue(SCREAMING_SNAKE_CASE_       )
					self.assertTrue(dc.completed       )  # Completed!
					self.assertTrue(dc.current_seq == [1, 2, 3]       )




	def 						_lowercase  (       self  :			Tuple       )       ->     int:
					lowercase_       =					[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

					lowercase_       =					DisjunctiveConstraint(SCREAMING_SNAKE_CASE_       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(1       )
					self.assertTrue(not dc.completed       )
					self.assertTrue(dc.current_seq == [1]       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(2       )
					self.assertTrue(not dc.completed       )
					self.assertTrue(dc.current_seq == [1, 2]       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(4       )
					self.assertTrue(not dc.completed       )
					self.assertTrue(dc.current_seq == [1, 2, 4]       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(5       )
					self.assertTrue(dc.completed       )  # Completed!
					self.assertTrue(dc.current_seq == [1, 2, 4, 5]       )

					dc.reset()

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(1       )
					self.assertTrue(not dc.completed       )
					self.assertTrue(dc.remaining() == 3       )
					self.assertTrue(dc.current_seq == [1]       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(2       )
					self.assertTrue(not dc.completed       )
					self.assertTrue(dc.remaining() == 2       )
					self.assertTrue(dc.current_seq == [1, 2]       )

					lowercase_  ,	lowercase_  ,	lowercase_       =					dc.update(5       )
					self.assertTrue(dc.completed       )  # Completed!
					self.assertTrue(dc.remaining() == 0       )
					self.assertTrue(dc.current_seq == [1, 2, 5]       )






import argparse
import os
import re


__a  			=					'src/transformers/models/auto'


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




def 				a						(							snake_case__:					str						,   snake_case__:					bool = False					):


				'''simple docstring'''
				with open(snake_case__						,   '''r'''						,   encoding='''utf-8'''					) as f:
								lowercase_       =					f.read()

				lowercase_       =					content.split('''\n'''					)
				lowercase_       =					[]
				lowercase_       =					0
				while line_idx < len(snake_case__					):
								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(snake_case__						,   key=lambda snake_case__					: _re_identifier.search(snake_case__					).groups()[0]					)
												new_lines += blocks
								else:
												new_lines.append(lines[line_idx]					)
												line_idx += 1

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




def 				a						(							snake_case__:					bool = False					):


				'''simple docstring'''
				lowercase_       =					[os.path.join(snake_case__						,   snake_case__					) for f in os.listdir(snake_case__					) if f.endswith('''.py'''					)]
				lowercase_       =					[sort_auto_mapping(snake_case__						,   overwrite=snake_case__					) for fname in fnames]

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


if __name__ == "__main__":
						__a  			=					argparse.ArgumentParser()
						parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
						__a  			=					parser.parse_args()

						sort_all_auto_mappings(not args.check_only)




