




'''simple docstring'''

import collections
import os
import re
from pathlib import Path


a  :				str									=  'src/transformers'


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


def 		__magic_name__    (	__UpperCAmelCase	)		->					Dict:

					'''simple docstring'''

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


def 		__magic_name__    (	__UpperCAmelCase	)		->					Optional[Any]:

					'''simple docstring'''

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

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

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

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

					snake_case_									=				{'''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.
										snake_case_									=				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:
															snake_case_									=				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

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

															snake_case_									=				objects
										else:
															line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
					snake_case_									=				[]
					while (
					    line_index < len(__UpperCAmelCase	)
					    and find_backend(lines[line_index]	) is None
					    and not lines[line_index].startswith('''else'''	)
					):
										snake_case_									=				lines[line_index]
										snake_case_									=				_re_import.search(__UpperCAmelCase	)
										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

					snake_case_									=				{'''none''': objects}
					# Let's continue with backend-specific objects
					while line_index < len(__UpperCAmelCase	):
										# If the line is an if is_backend_available, we grab all objects associated.
										snake_case_									=				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:
															snake_case_									=				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

															snake_case_									=				[]
															# Until we unindent, add backend objects to the list
															while len(lines[line_index]	) <= 1 or lines[line_index].startswith(''' ''' * 8	):
																				snake_case_									=				lines[line_index]
																				snake_case_									=				_re_import.search(__UpperCAmelCase	)
																				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

															snake_case_									=				objects
										else:
															line_index += 1

					return import_dict_objects, type_hint_objects


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase	)		->					Optional[Any]:

					'''simple docstring'''

					def find_duplicates(__UpperCAmelCase	):
										return [k for k, v in collections.Counter(__UpperCAmelCase	).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!"]

					snake_case_									=				[]
					for key in import_dict_objects.keys():
										snake_case_									=				find_duplicates(import_dict_objects[key]	)
										if duplicate_imports:
															errors.append(F"Duplicate _import_structure definitions for: {duplicate_imports}"	)
										snake_case_									=				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]	)	):
															snake_case_									=				'''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 		__magic_name__    (	)		->					Tuple:

					'''simple docstring'''

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


def 		__magic_name__    (	)		->					Optional[Any]:

					'''simple docstring'''

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


a  :				Dict									=  [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]


def 		__magic_name__    (	)		->					Optional[int]:

					'''simple docstring'''

					from transformers.utils import direct_transformers_import

					snake_case_									=				direct_transformers_import(__UpperCAmelCase	)

					snake_case_									=				set(transformers._import_structure.keys()	)
					# This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
					# some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
					# (potentiall re-) add them.
					with open(os.path.join(__UpperCAmelCase,      '''__init__.py'''	),      '''r'''	) as f:
										snake_case_									=				f.read()
					import_structure_keys.update(set(re.findall(r'''import_structure\[\"([^\"]*)\"\]''',      __UpperCAmelCase	)	)	)

					snake_case_									=				[
					    module
					    for module in get_transformers_submodules()
					    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
					]

					if len(__UpperCAmelCase	) > 0:
										snake_case_									=				'''\n'''.join(F"- {module}" for module in module_not_registered	)
										raise ValueError(
										    '''The following submodules are not properly registed 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'''

from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
  import tensorflow as tf

  from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM



@require_tf
@require_sentencepiece
@require_tokenizers
class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       @slow
       def _lowerCAmelCase(						self )  ->  Dict:
        lowercase__				:    List[str]  =					TFAutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small''' )
        lowercase__				:    Dict  =					AutoTokenizer.from_pretrained('''google/mt5-small''' )

        lowercase__				:    Any  =					tokenizer('''Hello there'''	,   return_tensors='''tf''' ).input_ids
        lowercase__				:    List[Any]  =					tokenizer('''Hi I am'''	,   return_tensors='''tf''' ).input_ids

        lowercase__				:    str  =					model(__lowerCAmelCase	,   labels=__lowerCAmelCase ).loss
        lowercase__				:    List[str]  =					-tf.math.reduce_mean(__lowerCAmelCase ).numpy()

        lowercase__				:    str  =					-2_1.2_2_8_1_6_8
        self.assertTrue(abs(mtf_score - EXPECTED_SCORE ) < 2E-4 )

