



"""simple docstring"""






import collections
import importlib.util
import os
import re
from pathlib import Path


lowerCAmelCase__        =				'''src/transformers'''


# Matches is_xxx_available()
lowerCAmelCase__        =				re.compile(R'''is\_([a-z_]*)_available()''')
# Catches a one-line _import_struct = {xxx}
lowerCAmelCase__        =				re.compile(R'''^_import_structure\s+=\s+\{([^\}]+)\}''')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
lowerCAmelCase__        =				re.compile(R'''\s+"\S*":\s+\[([^\]]*)\]''')
# Catches a line if not is_foo_available
lowerCAmelCase__        =				re.compile(R'''^\s*if\s+not\s+is\_[a-z_]*\_available\(\)''')
# Catches a line _import_struct["bla"].append("foo")
lowerCAmelCase__        =				re.compile(R'''^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)''')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
lowerCAmelCase__        =				re.compile(R'''^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]''')
# Catches a line with an object between quotes and a comma:     "MyModel",
lowerCAmelCase__        =				re.compile('''^\s+"([^"]+)",''')
# Catches a line with objects between brackets only:    ["foo", "bar"],
lowerCAmelCase__        =				re.compile('''^\s+\[([^\]]+)\]''')
# Catches a line with from foo import bar, bla, boo
lowerCAmelCase__        =				re.compile(R'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')
# Catches a line with try:
lowerCAmelCase__        =				re.compile(R'''^\s*try:''')
# Catches a line with else:
lowerCAmelCase__        =				re.compile(R'''^\s*else:''')






def        snake_case_  (      A_					:		Union[str, Any]						):


       '''simple docstring'''





       if _re_test_backend.search(A_						) is None:
              return None
       _lowerCamelCase						:				List[Any]    			= [b[0] for b in _re_backend.findall(A_						)]
       backends.sort()
       return "_and_".join(A_						)






def        snake_case_  (      A_					:		Union[str, Any]						):


       '''simple docstring'''





       with open(A_,				'''r''',				encoding='''utf-8''',				newline='''\n'''						) as f:
              _lowerCamelCase						:				Any    			= f.readlines()

       _lowerCamelCase						:				Tuple    			= 0
       while line_index < len(A_						) and not lines[line_index].startswith('''_import_structure = {'''						):
              line_index += 1

       # If this is a traditional init, just return.
       if line_index >= len(A_						):
              return None

       # First grab the objects without a specific backend in _import_structure
       _lowerCamelCase						:				int    			= []
       while not lines[line_index].startswith('''if TYPE_CHECKING'''						) and find_backend(lines[line_index]						) is None:
              _lowerCamelCase						:				Any    			= lines[line_index]
              # If we have everything on a single line, let's deal with it.
              if _re_one_line_import_struct.search(A_						):
                     _lowerCamelCase						:				Optional[int]    			= _re_one_line_import_struct.search(A_						).groups()[0]
                     _lowerCamelCase						:				Optional[Any]    			= re.findall('''\[([^\]]+)\]''',				A_						)
                     for imp in imports:
                            objects.extend([obj[1:-1] for obj in imp.split(''', '''						)]						)
                     line_index += 1
                     continue
              _lowerCamelCase						:				Union[str, Any]    			= _re_import_struct_key_value.search(A_						)
              if single_line_import_search is not None:
                     _lowerCamelCase						:				Tuple    			= [obj[1:-1] for obj in single_line_import_search.groups()[0].split(''', '''						) if len(A_						) > 0]
                     objects.extend(A_						)
              elif line.startswith(''' ''' * 8 + '''"'''						):
                     objects.append(line[9:-3]						)
              line_index += 1

       _lowerCamelCase						:				Dict    			= {'''none''': objects}
       # Let's continue with backend-specific objects in _import_structure
       while not lines[line_index].startswith('''if TYPE_CHECKING'''						):
              # If the line is an if not is_backend_available, we grab all objects associated.
              _lowerCamelCase						:				Optional[Any]    			= find_backend(lines[line_index]						)
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]						) is None:
                     _lowerCamelCase						:				Optional[int]    			= None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]						) is None:
                            line_index += 1

                     line_index += 1

                     _lowerCamelCase						:				Union[str, Any]    			= []
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]						) <= 1 or lines[line_index].startswith(''' ''' * 4						):
                            _lowerCamelCase						:				int    			= lines[line_index]
                            if _re_import_struct_add_one.search(A_						) is not None:
                                   objects.append(_re_import_struct_add_one.search(A_						).groups()[0]						)
                            elif _re_import_struct_add_many.search(A_						) is not None:
                                   _lowerCamelCase						:				Optional[Any]    			= _re_import_struct_add_many.search(A_						).groups()[0].split(''', '''						)
                                   _lowerCamelCase						:				int    			= [obj[1:-1] for obj in imports if len(A_						) > 0]
                                   objects.extend(A_						)
                            elif _re_between_brackets.search(A_						) is not None:
                                   _lowerCamelCase						:				Tuple    			= _re_between_brackets.search(A_						).groups()[0].split(''', '''						)
                                   _lowerCamelCase						:				List[Any]    			= [obj[1:-1] for obj in imports if len(A_						) > 0]
                                   objects.extend(A_						)
                            elif _re_quote_object.search(A_						) is not None:
                                   objects.append(_re_quote_object.search(A_						).groups()[0]						)
                            elif line.startswith(''' ''' * 8 + '''"'''						):
                                   objects.append(line[9:-3]						)
                            elif line.startswith(''' ''' * 12 + '''"'''						):
                                   objects.append(line[13:-3]						)
                            line_index += 1

                     _lowerCamelCase						:				List[str]    			= objects
              else:
                     line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
       _lowerCamelCase						:				Dict    			= []
       while (
           line_index < len(A_						)
           and find_backend(lines[line_index]						) is None
           and not lines[line_index].startswith('''else'''						)
       ):
              _lowerCamelCase						:				int    			= lines[line_index]
              _lowerCamelCase						:				Dict    			= _re_import.search(A_						)
              if single_line_import_search is not None:
                     objects.extend(single_line_import_search.groups()[0].split(''', '''						)						)
              elif line.startswith(''' ''' * 8						):
                     objects.append(line[8:-2]						)
              line_index += 1

       _lowerCamelCase						:				Any    			= {'''none''': objects}
       # Let's continue with backend-specific objects
       while line_index < len(A_						):
              # If the line is an if is_backend_available, we grab all objects associated.
              _lowerCamelCase						:				Any    			= find_backend(lines[line_index]						)
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]						) is None:
                     _lowerCamelCase						:				str    			= None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]						) is None:
                            line_index += 1

                     line_index += 1

                     _lowerCamelCase						:				Optional[int]    			= []
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]						) <= 1 or lines[line_index].startswith(''' ''' * 8						):
                            _lowerCamelCase						:				Optional[Any]    			= lines[line_index]
                            _lowerCamelCase						:				Optional[int]    			= _re_import.search(A_						)
                            if single_line_import_search is not None:
                                   objects.extend(single_line_import_search.groups()[0].split(''', '''						)						)
                            elif line.startswith(''' ''' * 12						):
                                   objects.append(line[12:-2]						)
                            line_index += 1

                     _lowerCamelCase						:				List[Any]    			= objects
              else:
                     line_index += 1

       return import_dict_objects, type_hint_objects






def        snake_case_  (      A_					:		Tuple,				A_					:		List[str]						):


       '''simple docstring'''





       def find_duplicates(A_					:		List[str]						):
              return [k for k, v in collections.Counter(A_						).items() if v > 1]

       if list(import_dict_objects.keys()						) != list(type_hint_objects.keys()						):
              return ["Both sides of the init do not have the same backends!"]

       _lowerCamelCase						:				Tuple    			= []
       for key in import_dict_objects.keys():
              _lowerCamelCase						:				Optional[Any]    			= find_duplicates(import_dict_objects[key]						)
              if duplicate_imports:
                     errors.append(F'''Duplicate _import_structure definitions for: {duplicate_imports}'''						)
              _lowerCamelCase						:				Optional[Any]    			= find_duplicates(type_hint_objects[key]						)
              if duplicate_type_hints:
                     errors.append(F'''Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}'''						)

              if sorted(set(import_dict_objects[key]						)						) != sorted(set(type_hint_objects[key]						)						):
                     _lowerCamelCase						:				Dict    			= '''base imports''' if key == '''none''' else F'''{key} backend'''
                     errors.append(F'''Differences for {name}:'''						)
                     for a in type_hint_objects[key]:
                            if a not in import_dict_objects[key]:
                                   errors.append(F'''  {a} in TYPE_HINT but not in _import_structure.'''						)
                     for a in import_dict_objects[key]:
                            if a not in type_hint_objects[key]:
                                   errors.append(F'''  {a} in _import_structure but not in TYPE_HINT.'''						)
       return errors






def        snake_case_  (      ):


       '''simple docstring'''





       _lowerCamelCase						:				Optional[int]    			= []
       for root, _, files in os.walk(A_						):
              if "__init__.py" in files:
                     _lowerCamelCase						:				Optional[Any]    			= os.path.join(A_,				'''__init__.py'''						)
                     _lowerCamelCase						:				Optional[Any]    			= parse_init(A_						)
                     if objects is not None:
                            _lowerCamelCase						:				List[Any]    			= analyze_results(*A_						)
                            if len(A_						) > 0:
                                   _lowerCamelCase						:				List[str]    			= F'''Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'''
                                   failures.append('''\n'''.join(A_						)						)
       if len(A_						) > 0:
              raise ValueError('''\n\n'''.join(A_						)						)






def        snake_case_  (      ):


       '''simple docstring'''





       _lowerCamelCase						:				Tuple    			= []
       for path, directories, files in os.walk(A_						):
              for folder in directories:
                     # Ignore private modules
                     if folder.startswith('''_'''						):
                            directories.remove(A_						)
                            continue
                     # Ignore leftovers from branches (empty folders apart from pycache)
                     if len(list((Path(A_						) / folder).glob('''*.py'''						)						)						) == 0:
                            continue
                     _lowerCamelCase						:				Tuple    			= str((Path(A_						) / folder).relative_to(A_						)						)
                     _lowerCamelCase						:				List[str]    			= short_path.replace(os.path.sep,				'''.'''						)
                     submodules.append(A_						)
              for fname in files:
                     if fname == "__init__.py":
                            continue
                     _lowerCamelCase						:				Dict    			= str((Path(A_						) / fname).relative_to(A_						)						)
                     _lowerCamelCase						:				Union[str, Any]    			= short_path.replace('''.py''',				''''''						).replace(os.path.sep,				'''.'''						)
                     if len(submodule.split('''.'''						)						) == 1:
                            submodules.append(A_						)
       return submodules


lowerCAmelCase__        =				[
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
]






def        snake_case_  (      ):


       '''simple docstring'''





       _lowerCamelCase						:				Any    			= importlib.util.spec_from_file_location(
           '''transformers''',				os.path.join(A_,				'''__init__.py'''						),				submodule_search_locations=[PATH_TO_TRANSFORMERS],				)
       _lowerCamelCase						:				Any    			= spec.loader.load_module()

       _lowerCamelCase						:				Any    			= [
           module
           for module in get_transformers_submodules()
           if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
       ]
       if len(A_						) > 0:
              _lowerCamelCase						:				Dict    			= '''\n'''.join(F'''- {module}''' for module in module_not_registered						)
              raise ValueError(
                  '''The following submodules are not properly registered in the main init of Transformers:\n'''
                  F'''{list_of_modules}\n'''
                  '''Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'''						)


if __name__ == "__main__":
   check_all_inits()
   check_submodules()







'''simple docstring'''

import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class 	__magic_name__						(    _UpperCamelCase			,						unittest.TestCase   ):
							lowerCAmelCase       :    Optional[int]   				=					BarthezTokenizer
							lowerCAmelCase       :    int   				=					BarthezTokenizerFast
							lowerCAmelCase       :    Dict   				=					True
							lowerCAmelCase       :    str   				=					True







							def 							__lowercase			(							self					:       List[Any]		):
									super().setUp()

									_a     :      List[Any]        =							BarthezTokenizerFast.from_pretrained('moussaKam/mbarthez'		)
									tokenizer.save_pretrained(self.tmpdirname		)
									tokenizer.save_pretrained(self.tmpdirname	,legacy_format=_UpperCAmelCase		)
									_a     :      Union[str, Any]        =							tokenizer







							def 							__lowercase			(							self					:       Tuple		):
									_a     :      Optional[Any]        =							'<pad>'
									_a     :      List[Any]        =							1

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase		)	,_UpperCAmelCase		)
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase		)	,_UpperCAmelCase		)







							def 							__lowercase			(							self					:       str		):
									_a     :      Any        =							list(self.get_tokenizer().get_vocab().keys()		)

									self.assertEqual(vocab_keys[0]	,'<s>'		)
									self.assertEqual(vocab_keys[1]	,'<pad>'		)
									self.assertEqual(vocab_keys[-1]	,'<mask>'		)
									self.assertEqual(len(_UpperCAmelCase		)	,101122		)







							def 							__lowercase			(							self					:       Dict		):
									self.assertEqual(self.get_tokenizer().vocab_size	,101122		)







							@require_torch
							def 							__lowercase			(							self					:       Dict		):
									_a     :      Any        =							['A long paragraph for summarization.', 'Another paragraph for summarization.']
									_a     :      Dict        =							[0, 57, 3018, 70307, 91, 2]

									_a     :      Dict        =							self.tokenizer(
									    _UpperCAmelCase	,max_length=len(_UpperCAmelCase		)	,padding=_UpperCAmelCase	,truncation=_UpperCAmelCase	,return_tensors='pt'		)
									self.assertIsInstance(_UpperCAmelCase	,_UpperCAmelCase		)

									self.assertEqual((2, 6)	,batch.input_ids.shape		)
									self.assertEqual((2, 6)	,batch.attention_mask.shape		)
									_a     :      Tuple        =							batch.input_ids.tolist()[0]
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)







							def 							__lowercase			(							self					:       Optional[Any]		):
									if not self.test_rust_tokenizer:
											return

									_a     :      str        =							self.get_tokenizer()
									_a     :      List[str]        =							self.get_rust_tokenizer()

									_a     :      Dict        =							'I was born in 92000, and this is falsé.'

									_a     :      List[Any]        =							tokenizer.tokenize(_UpperCAmelCase		)
									_a     :      Tuple        =							rust_tokenizer.tokenize(_UpperCAmelCase		)
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)

									_a     :      Optional[Any]        =							tokenizer.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
									_a     :      Optional[int]        =							rust_tokenizer.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)

									_a     :      Union[str, Any]        =							self.get_rust_tokenizer()
									_a     :      Any        =							tokenizer.encode(_UpperCAmelCase		)
									_a     :      Optional[int]        =							rust_tokenizer.encode(_UpperCAmelCase		)
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)







							@slow
							def 							__lowercase			(							self					:       Optional[int]		):
									# fmt: off
									_a     :      Optional[int]        =							{'input_ids': [[0, 490, 14328, 4507, 354, 47, 43669, 95, 25, 78117, 20215, 19779, 190, 22, 400, 4, 35343, 80310, 603, 86, 24937, 105, 33438, 94762, 196, 39642, 7, 15, 15933, 173, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 10534, 87, 25, 66, 3358, 196, 55289, 8, 82961, 81, 2204, 75203, 7, 15, 763, 12956, 216, 178, 14328, 9595, 1377, 69693, 7, 448, 71021, 196, 18106, 1437, 13974, 108, 9083, 4, 49315, 7, 39, 86, 1326, 2793, 46333, 4, 448, 196, 74588, 7, 49315, 7, 39, 21, 822, 38470, 74, 21, 66723, 62480, 8, 22050, 5, 2]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
									# fmt: on

									# moussaKam/mbarthez is a french model. So we also use french texts.
									_a     :      Optional[Any]        =							[
									    'Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '
									    'utilisé principalement dans le domaine du traitement automatique des langues (TAL).',
									    'À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '
									    'pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '
									    'telles que la traduction et la synthèse de texte.',
									]

									self.tokenizer_integration_test_util(
									    expected_encoding=_UpperCAmelCase	,model_name='moussaKam/mbarthez'	,revision='c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'	,sequences=_UpperCAmelCase	,)




