





# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import torch

from accelerate import PartialState
from accelerate.utils.operations import broadcast, gather, gather_object, pad_across_processes, reduce
def      A__       (    SCREAMING_SNAKE_CASE_   :      List[str]						)  ->  Dict:






   """simple docstring"""







   return (torch.arange(state.num_processes						) + 1.0 + (state.num_processes * state.process_index)).to(state.device						)
def      A__       (    SCREAMING_SNAKE_CASE_   :      Tuple						)  ->  List[str]:






   """simple docstring"""







   _UpperCAmelCase           =   create_tensor(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   gather(SCREAMING_SNAKE_CASE_						)
   assert gathered_tensor.tolist() == list(range(1				,	state.num_processes**2 + 1						)						)
def      A__       (    SCREAMING_SNAKE_CASE_   :      Union[str, Any]						)  ->  str:






   """simple docstring"""







   _UpperCAmelCase           =   [state.process_index]
   _UpperCAmelCase           =   gather_object(SCREAMING_SNAKE_CASE_						)
   assert len(SCREAMING_SNAKE_CASE_						) == state.num_processes, F'''{gathered_obj}, {len(SCREAMING_SNAKE_CASE_						)} != {state.num_processes}'''
   assert gathered_obj == list(range(state.num_processes						)						), F'''{gathered_obj} != {list(range(state.num_processes						)						)}'''
def      A__       (    SCREAMING_SNAKE_CASE_   :      int						)  ->  Union[str, Any]:






   """simple docstring"""







   _UpperCAmelCase           =   create_tensor(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   broadcast(SCREAMING_SNAKE_CASE_						)
   assert broadcasted_tensor.shape == torch.Size([state.num_processes]						)
   assert broadcasted_tensor.tolist() == list(range(1				,	state.num_processes + 1						)						)
def      A__       (    SCREAMING_SNAKE_CASE_   :      str						)  ->  Dict:






   """simple docstring"""







   if state.is_main_process:
      _UpperCAmelCase           =   torch.arange(state.num_processes + 1						).to(state.device						)
   else:
      _UpperCAmelCase           =   torch.arange(state.num_processes						).to(state.device						)
   _UpperCAmelCase           =   pad_across_processes(SCREAMING_SNAKE_CASE_						)
   assert padded_tensor.shape == torch.Size([state.num_processes + 1]						)
   if not state.is_main_process:
      assert padded_tensor.tolist() == list(range(0				,	state.num_processes						)						) + [0]
def      A__       (    SCREAMING_SNAKE_CASE_   :      Any						)  ->  Dict:






   """simple docstring"""







   if state.num_processes != 2:
      return
   _UpperCAmelCase           =   create_tensor(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   reduce(SCREAMING_SNAKE_CASE_				,	'''sum'''						)
   _UpperCAmelCase           =   torch.tensor([4.0, 6]						).to(state.device						)
   assert torch.allclose(SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_						), F'''{reduced_tensor} != {truth_tensor}'''
def      A__       (    SCREAMING_SNAKE_CASE_   :      Tuple						)  ->  Optional[int]:






   """simple docstring"""







   if state.num_processes != 2:
      return
   _UpperCAmelCase           =   create_tensor(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   reduce(SCREAMING_SNAKE_CASE_				,	'''mean'''						)
   _UpperCAmelCase           =   torch.tensor([2.0, 3]						).to(state.device						)
   assert torch.allclose(SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_						), F'''{reduced_tensor} != {truth_tensor}'''
def      A__       (    SCREAMING_SNAKE_CASE_   :      Any						)  ->  List[str]:






   """simple docstring"""







   main()
def      A__       (    )  ->  Dict:






   """simple docstring"""







   _UpperCAmelCase           =   PartialState()
   state.print(F'''State: {state}'''						)
   state.print('''testing gather'''						)
   test_gather(SCREAMING_SNAKE_CASE_						)
   state.print('''testing gather_object'''						)
   test_gather_object(SCREAMING_SNAKE_CASE_						)
   state.print('''testing broadcast'''						)
   test_broadcast(SCREAMING_SNAKE_CASE_						)
   state.print('''testing pad_across_processes'''						)
   test_pad_across_processes(SCREAMING_SNAKE_CASE_						)
   state.print('''testing reduce_sum'''						)
   test_reduce_sum(SCREAMING_SNAKE_CASE_						)
   state.print('''testing reduce_mean'''						)
   test_reduce_mean(SCREAMING_SNAKE_CASE_						)


if __name__ == "__main__":
   main()


import collections
import os
import re
from pathlib import Path


A_			:					List[str]    			=     'src/transformers'


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

def 		UpperCamelCase   (lowercase_:					Optional[Any]   )	-> Any:
	if _re_test_backend.search(lowercase_   ) is None:
		return None
	A__				:       Optional[int]	  =						[b[0] for b in _re_backend.findall(lowercase_   )]
	backends.sort()
	return "_and_".join(lowercase_   )

def 		UpperCamelCase   (lowercase_:					Any   )	-> Dict:
	with open(lowercase_       , """r"""       , encoding="""utf-8"""       , newline="""\n"""   ) as f:
		A__				:       Optional[Any]	  =						f.readlines()

	A__				:       Optional[Any]	  =						0
	while line_index < len(lowercase_   ) and not lines[line_index].startswith("""_import_structure = {"""   ):
		line_index += 1

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

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

	A__				:       str	  =						{"""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.
		A__				:       Optional[int]	  =						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:
			A__				:       List[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

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

			A__				:       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
	A__				:       Any	  =						[]
	while (
	    line_index < len(lowercase_   )
	    and find_backend(lines[line_index]   ) is None
	    and not lines[line_index].startswith("""else"""   )
	):
		A__				:       Dict	  =						lines[line_index]
		A__				:       Any	  =						_re_import.search(lowercase_   )
		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

	A__				:       List[str]	  =						{"""none""": objects}
	# Let's continue with backend-specific objects
	while line_index < len(lowercase_   ):
		# If the line is an if is_backend_available, we grab all objects associated.
		A__				:       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:
			A__				:       Any	  =						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

			A__				:       List[str]	  =						[]
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(""" """ * 8   ):
				A__				:       Union[str, Any]	  =						lines[line_index]
				A__				:       List[str]	  =						_re_import.search(lowercase_   )
				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

			A__				:       Tuple	  =						objects
		else:
			line_index += 1

	return import_dict_objects, type_hint_objects

def 		UpperCamelCase   (lowercase_:					Optional[Any]       , lowercase_:					Union[str, Any]   )	-> List[Any]:

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

	A__				:       str	  =						[]
	for key in import_dict_objects.keys():
		A__				:       Optional[int]	  =						find_duplicates(import_dict_objects[key]   )
		if duplicate_imports:
			errors.append(f"""Duplicate _import_structure definitions for: {duplicate_imports}"""   )
		A__				:       Tuple	  =						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]   )   ):
			A__				:       Tuple	  =						"""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 		UpperCamelCase   ()	-> str:
	A__				:       str	  =						[]
	for root, _, files in os.walk(lowercase_   ):
		if "__init__.py" in files:
			A__				:       Tuple	  =						os.path.join(lowercase_       , """__init__.py"""   )
			A__				:       Union[str, Any]	  =						parse_init(lowercase_   )
			if objects is not None:
				A__				:       List[Any]	  =						analyze_results(*lowercase_   )
				if len(lowercase_   ) > 0:
					A__				:       int	  =						f"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
					failures.append("""\n""".join(lowercase_   )   )
	if len(lowercase_   ) > 0:
		raise ValueError("""\n\n""".join(lowercase_   )   )

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


A_			:					str    			=     [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]

def 		UpperCamelCase   ()	-> str:
	# This is to make sure the transformers module imported is the one in the repo.
	from transformers.utils import direct_transformers_import

	A__				:       Any	  =						direct_transformers_import(lowercase_   )

	A__				:       List[str]	  =						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(lowercase_       , """__init__.py"""   )       , """r"""   ) as f:
		A__				:       str	  =						f.read()
	import_structure_keys.update(set(re.findall(r"""import_structure\[\"([^\"]*)\"\]"""       , lowercase_   )   )   )

	A__				:       Union[str, Any]	  =						[
	    module
	    for module in get_transformers_submodules()
	    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
	]

	if len(lowercase_   ) > 0:
		A__				:       Dict	  =						"""\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()



