

import argparse
import os
import re


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


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





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__ = False   ):







							'''simple docstring'''






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

							snake_case_           =					content.split('\n'   )
							snake_case_           =					[]
							snake_case_           =					0
							while line_idx < len(UpperCamelCase__   ):
														if _re_intro_mapping.search(lines[line_idx]   ) is not None:
																					snake_case_           =					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

																					snake_case_           =					[]
																					while lines[line_idx].strip() != "]":
																												# Blocks either fit in one line or not
																												if lines[line_idx].strip() == "(":
																																			snake_case_           =					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
																					snake_case_           =					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       __lowerCamelCase			(				UpperCamelCase__ = False   ):







							'''simple docstring'''






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

							if not overwrite and any(UpperCamelCase__   ):
														snake_case_           =					[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__":
					_UpperCAmelCase	:     List[str]		       = argparse.ArgumentParser()
					parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
					_UpperCAmelCase	:     Union[str, Any]		       = parser.parse_args()

					sort_all_auto_mappings(not args.check_only)







import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 				lowercase       ( lowercase_			,						unittest.TestCase    ):
				__SCREAMING_SNAKE_CASE      :				int     =    PhobertTokenizer
				__SCREAMING_SNAKE_CASE      :				int     =    False




				def 					a							(      self ):
											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											snake_case_           =					['T@@', 'i', 'I', 'R@@', 'r', 'e@@']
											snake_case_           =					dict(zip(snake_case   ,     range(len(snake_case ) ) ) )
											snake_case_           =					['#version: 0.2', 'l à</w>']
											snake_case_           =					{'unk_token': '<unk>'}

											snake_case_           =					os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES['vocab_file'] )
											snake_case_           =					os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES['merges_file'] )

											with open(self.vocab_file   ,     'w'   ,     encoding='utf-8' ) as fp:
																		for token in vocab_tokens:
																									fp.write(F'''{token} {vocab_tokens[token]}\n''' )
											with open(self.merges_file   ,     'w'   ,     encoding='utf-8' ) as fp:
																		fp.write('\n'.join(snake_case ) )




				def 					a							(      self   ,     **snake_case ):
											kwargs.update(self.special_tokens_map )
											return PhobertTokenizer.from_pretrained(self.tmpdirname   ,     **snake_case )




				def 					a							(      self   ,     snake_case ):
											snake_case_           =					'Tôi là VinAI Research'
											snake_case_           =					'T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
											return input_text, output_text




				def 					a							(      self ):
											snake_case_           =					PhobertTokenizer(self.vocab_file   ,     self.merges_file   ,     **self.special_tokens_map )
											snake_case_           =					'Tôi là VinAI Research'
											snake_case_           =					'T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
											snake_case_           =					tokenizer.tokenize(snake_case )
											print(snake_case )
											self.assertListEqual(snake_case   ,     snake_case )

											snake_case_           =					tokens + [tokenizer.unk_token]

											snake_case_           =					[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case )   ,     snake_case )




