

import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
__snake_case							:			Optional[int]      		= """src/transformers"""

# Matches is_xxx_available()
__snake_case							:			Dict      		= re.compile(r"""is\_([a-z_]*)_available()""")
# Matches from xxx import bla
__snake_case							:			str      		= re.compile(r"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
__snake_case							:			Any      		= re.compile(r"""^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)""")


__snake_case							:			Dict      		= """
{0} = None
"""

__snake_case							:			List[Any]      		= """
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


__snake_case							:			Tuple      		= """
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""


def 				_UpperCAmelCase							(	a__):

			'''simple docstring'''



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


def 				_UpperCAmelCase							(	):

			'''simple docstring'''



			with open(os.path.join(a__     ,  """__init__.py""")     ,  """r"""     ,  encoding="""utf-8"""     ,  newline="""\n""") as f:
						a_	:	List[Any]          =   f.readlines()

			# Get to the point we do the actual imports for type checking
			a_	:	Dict          =   0
			while not lines[line_index].startswith("""if TYPE_CHECKING"""):
						line_index += 1

			a_	:	List[str]          =   {}
			# Go through the end of the file
			while line_index < len(a__):
						# If the line is an if is_backend_available, we grab all objects associated.
						a_	:	Union[str, Any]          =   find_backend(lines[line_index])
						if backend is not None:
									while not lines[line_index].startswith("""    else:"""):
												line_index += 1
									line_index += 1

									a_	:	str          =   []
									# Until we unindent, add backend objects to the list
									while len(lines[line_index]) <= 1 or lines[line_index].startswith(""" """ * 8):
												a_	:	Optional[int]          =   lines[line_index]
												a_	:	Tuple          =   _re_single_line_import.search(a__)
												if single_line_import_search is not None:
															objects.extend(single_line_import_search.groups()[0].split(""", """))
												elif line.startswith(""" """ * 1_2):
															objects.append(line[1_2:-2])
												line_index += 1

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

			return backend_specific_objects


def 				_UpperCAmelCase							(	a__     ,  a__):

			'''simple docstring'''



			if name.isupper():
						return DUMMY_CONSTANT.format(a__)
			elif name.islower():
						return DUMMY_FUNCTION.format(a__     ,  a__)
			else:
						return DUMMY_CLASS.format(a__     ,  a__)


def 				_UpperCAmelCase							(	a__=None):

			'''simple docstring'''



			if backend_specific_objects is None:
						a_	:	Tuple          =   read_init()
			# For special correspondence backend to module name as used in the function requires_modulename
			a_	:	List[Any]          =   {}

			for backend, objects in backend_specific_objects.items():
						a_	:	Dict          =   """[""" + """, """.join(f'''"{b}"''' for b in backend.split("""_and_""")) + """]"""
						a_	:	int          =   """# This file is autogenerated by the command `make fix-copies`, do not edit.\n"""
						dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
						dummy_file += "\n".join([create_dummy_object(a__     ,  a__) for o in objects])
						a_	:	int          =   dummy_file

			return dummy_files


def 				_UpperCAmelCase							(	a__=False):

			'''simple docstring'''



			a_	:	Optional[int]          =   create_dummy_files()
			# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
			a_	:	List[str]          =   {"""torch""": """pt"""}

			# Locate actual dummy modules and read their content.
			a_	:	Optional[Any]          =   os.path.join(a__     ,  """utils""")
			a_	:	Dict          =   {
			    backend: os.path.join(a__     ,  f'''dummy_{short_names.get(a__     ,  a__)}_objects.py''')
			    for backend in dummy_files.keys()
			}

			a_	:	str          =   {}
			for backend, file_path in dummy_file_paths.items():
						if os.path.isfile(a__):
									with open(a__     ,  """r"""     ,  encoding="""utf-8"""     ,  newline="""\n""") as f:
												a_	:	int          =   f.read()
						else:
									a_	:	Optional[int]          =   """"""

			for backend in dummy_files.keys():
						if dummy_files[backend] != actual_dummies[backend]:
									if overwrite:
												print(
												    f'''Updating transformers.utils.dummy_{short_names.get(a__     ,  a__)}_objects.py as the main '''
												    """__init__ has new objects.""")
												with open(dummy_file_paths[backend]     ,  """w"""     ,  encoding="""utf-8"""     ,  newline="""\n""") as f:
															f.write(dummy_files[backend])
									else:
												raise ValueError(
												    """The main __init__ has objects that are not present in """
												    f'''transformers.utils.dummy_{short_names.get(a__     ,  a__)}_objects.py. Run `make fix-copies` '''
												    """to fix this.""")


if __name__ == "__main__":
	__snake_case							:			Union[str, Any]      		= argparse.ArgumentParser()
	parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
	__snake_case							:			Union[str, Any]      		= parser.parse_args()

	check_dummies(args.fix_and_overwrite)





from dataclasses import dataclass
from typing import Callable, Optional

import datasets



@dataclass
class 					A__(datasets.BuilderConfig       ):
						"""simple docstring"""






						_A						:							Optional[Callable]									= None
						_A						:							Optional[dict]									= None
						_A						:							Optional[datasets.Features]									= None





						def  UpperCamelCase__				(						self						)    ->   Tuple:
									assert self.generator is not None, "generator must be specified"

									if self.gen_kwargs is None:
												a_	:	Tuple          =   {}







class 					A__(datasets.GeneratorBasedBuilder       ):
						"""simple docstring"""






						_A						:							Dict									= GeneratorConfig





						def  UpperCamelCase__				(						self						)    ->   List[Any]:
									return datasets.DatasetInfo(features=self.config.features						)





						def  UpperCamelCase__				(						self     ,			_lowercase						)    ->   List[Any]:
									return [datasets.SplitGenerator(name=datasets.Split.TRAIN     ,			gen_kwargs=self.config.gen_kwargs						)]





						def  UpperCamelCase__				(						self     ,			**_lowercase						)    ->   Tuple:
									for idx, ex in enumerate(self.config.generator(**_lowercase						)						):
												yield idx, ex


