




'''simple docstring'''


import os
from argparse import ArgumentParser
from typing import List

import torch.utils.data

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node


_snake_case : Any  				=						4
_snake_case : Any  				=						3

class      A       (						_a       ):
							pass



def 						snake_case_       (UpperCamelCase			:    List[str] ):





							'''simple docstring'''


							for shard in shards:
														for i in range(UpperCamelCase ):
																					yield {"i": i, "shard": shard}
def 						snake_case_       ():





							'''simple docstring'''


							_a      	=							int(os.environ['''RANK'''] )
							_a      	=							int(os.environ['''WORLD_SIZE'''] )

							_a      	=							ArgumentParser()
							parser.add_argument('''--streaming'''					,		type=UpperCamelCase )
							parser.add_argument('''--local_rank'''					,		type=UpperCamelCase )
							parser.add_argument('''--num_workers'''					,		type=UpperCamelCase					,		default=0 )
							_a      	=							parser.parse_args()
							_a      	=							args.streaming
							_a      	=							args.num_workers

							_a      	=							{'''shards''': [f'shard_{shard_idx}' for shard_idx in range(UpperCamelCase )]}
							_a      	=							IterableDataset.from_generator(UpperCamelCase					,		gen_kwargs=UpperCamelCase )
							if not streaming:
														_a      	=							Dataset.from_list(list(UpperCamelCase ) )

							_a      	=							split_dataset_by_node(UpperCamelCase					,		rank=UpperCamelCase					,		world_size=UpperCamelCase )
							_a      	=							torch.utils.data.DataLoader(UpperCamelCase					,		num_workers=UpperCamelCase )

							_a      	=							NUM_SHARDS * NUM_ITEMS_PER_SHARD
							_a      	=							full_size // world_size
							expected_local_size += int(rank < (full_size % world_size) )

							_a      	=							sum(1 for _ in dataloader )
							if local_size != expected_local_size:
														raise FailedTestError(f'local_size {local_size} != expected_local_size {expected_local_size}' )


if __name__ == "__main__":
				main()






"""simple docstring"""




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


_lowerCAmelCase							:   Dict				=				"src/transformers"


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

def 		__snake_case		( SCREAMING_SNAKE_CASE__      :		Optional[Any]							)    ->  int:





     '''simple docstring'''

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

def 		__snake_case		( SCREAMING_SNAKE_CASE__      :		Any							)    ->  Dict:





     '''simple docstring'''

     with open(SCREAMING_SNAKE_CASE__		,    "r"		,    encoding="utf-8"		,    newline="\n"							) as f:
          _UpperCAmelCase     :      int														=       f.readlines()

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

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

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

     _UpperCAmelCase     :      Optional[int]														=       {"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.
          _UpperCAmelCase     :      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:
               _UpperCAmelCase     :      Dict														=       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

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

               _UpperCAmelCase     :      Optional[Any]														=       objects
          else:
               line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
     _UpperCAmelCase     :      int														=       []
     while (
         line_index < len(SCREAMING_SNAKE_CASE__							)
         and find_backend(lines[line_index]							) is None
         and not lines[line_index].startswith("else"							)
     ):
          _UpperCAmelCase     :      List[Any]														=       lines[line_index]
          _UpperCAmelCase     :      Optional[Any]														=       _re_import.search(SCREAMING_SNAKE_CASE__							)
          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

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

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

               _UpperCAmelCase     :      Union[str, Any]														=       objects
          else:
               line_index += 1

     return import_dict_objects, type_hint_objects

def 		__snake_case		( SCREAMING_SNAKE_CASE__      :		Union[str, Any]		,    SCREAMING_SNAKE_CASE__      :		int							)    ->  Optional[int]:





     '''simple docstring'''

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

     _UpperCAmelCase     :      Any														=       []
     for key in import_dict_objects.keys():
          _UpperCAmelCase     :      Dict														=       find_duplicates(import_dict_objects[key]							)
          if duplicate_imports:
               errors.append(f'Duplicate _import_structure definitions for: {duplicate_imports}'							)
          _UpperCAmelCase     :      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]							)							):
               _UpperCAmelCase     :      List[Any]														=       "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		( )    ->  Dict:





     '''simple docstring'''

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

def 		__snake_case		( )    ->  Optional[Any]:





     '''simple docstring'''

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


_lowerCAmelCase							:   Any				=				[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
]

def 		__snake_case		( )    ->  Union[str, Any]:





     '''simple docstring'''

     _UpperCAmelCase     :      List[str]														=       importlib.util.spec_from_file_location(
         "transformers"		,    os.path.join(SCREAMING_SNAKE_CASE__		,    "__init__.py"							)		,    submodule_search_locations=[PATH_TO_TRANSFORMERS]		,    )
     _UpperCAmelCase     :      Optional[int]														=       spec.loader.load_module()

     _UpperCAmelCase     :      str														=       [
         module
         for module in get_transformers_submodules()
         if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
     ]
     if len(SCREAMING_SNAKE_CASE__							) > 0:
          _UpperCAmelCase     :      Optional[Any]														=       "\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()
