import argparse
from collections import defaultdict





def    __lowercase     (						lowerCamelCase					:     Optional[int]  ,  lowerCamelCase					:     str  ,  lowerCamelCase					:     int  ,  lowerCamelCase					:     Optional[int]  ,  lowerCamelCase					:     str	):
 UpperCamelCase_					:						str =					F"{file}_{class_name}_{test_name}"
 done_test[_id] += 1

 with open(lowerCamelCase  ,  'r'	) as f:
  UpperCamelCase_					:						Tuple =					f.readlines()

 UpperCamelCase_					:						Optional[Any] =					F"class {class_name}("
 UpperCamelCase_					:						Optional[Any] =					F"{4 * ' '}def {test_name}("
 UpperCamelCase_					:						Dict =					F"{8 * ' '}{correct_line.split()[0]}"
 UpperCamelCase_					:						Tuple =					F"{16 * ' '}{correct_line.split()[0]}"
 UpperCamelCase_					:						Union[str, Any] =					False
 UpperCamelCase_					:						int =					False
 UpperCamelCase_					:						List[str] =					False
 UpperCamelCase_					:						Optional[Any] =					False
 UpperCamelCase_					:						int =					0
 UpperCamelCase_					:						List[Any] =					0

 UpperCamelCase_					:						Any =					[]
 for line in lines:
  if line.startswith(lowerCamelCase	):
   UpperCamelCase_					:						Dict =					True
  elif in_class and line.startswith(lowerCamelCase	):
   UpperCamelCase_					:						List[Any] =					True
  elif in_class and in_func and (line.startswith(lowerCamelCase	) or line.startswith(lowerCamelCase	)):
   UpperCamelCase_					:						Tuple =					len(line.split(correct_line.split()[0]	)[0]	)
   count += 1

   if count == done_test[_id]:
    UpperCamelCase_					:						Union[str, Any] =					True

  if in_class and in_func and in_line:
   if ")" not in line:
    continue
   else:
    UpperCamelCase_					:						List[Any] =					True

  if in_class and in_func and in_line and insert_line:
   new_lines.append(F"{spaces * ' '}{correct_line}"	)
   UpperCamelCase_					:						int =					False
  else:
   new_lines.append(lowerCamelCase	)

 with open(lowerCamelCase  ,  'w'	) as f:
  for line in new_lines:
   f.write(lowerCamelCase	)





def    __lowercase     (						lowerCamelCase					:     Optional[Any]  ,  lowerCamelCase					:     int=None	):
 if fail is not None:
  with open(lowerCamelCase  ,  'r'	) as f:
   UpperCamelCase_					:						Union[str, Any] =					{l.strip() for l in f.readlines()}
 else:
  UpperCamelCase_					:						int =					None

 with open(lowerCamelCase  ,  'r'	) as f:
  UpperCamelCase_					:						Union[str, Any] =					f.readlines()

 UpperCamelCase_					:						Tuple =					defaultdict(lowerCamelCase	)
 for line in correct_lines:
  UpperCamelCase_, UpperCamelCase_, UpperCamelCase_, UpperCamelCase_					:						Tuple =					line.split(';'	)
  if test_failures is None or "::".join([file, class_name, test_name]	) in test_failures:
   overwrite_file(lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase  ,  lowerCamelCase	)


if __name__ == "__main__":
   a_    					=       argparse.ArgumentParser()
   parser.add_argument('--correct_filename', help='filename of tests with expected result')
   parser.add_argument('--fail_filename', help='filename of test failures', type=str, default=None)
   a_    					=       parser.parse_args()

   main(args.correct_filename, args.fail_filename)




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


a_    					=       {'configuration_encoder_decoder': ['EncoderDecoderConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a_    					=       ['EncoderDecoderModel']

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a_    					=       ['TFEncoderDecoderModel']

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a_    					=       ['FlaxEncoderDecoderModel']

if TYPE_CHECKING:
   from .configuration_encoder_decoder import EncoderDecoderConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_encoder_decoder import EncoderDecoderModel

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
   import sys

   a_    					=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



