"""simple docstring"""



import argparse
from collections import defaultdict





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case,      snake_case,      snake_case):
     __snake_case				=							f"{file}_{class_name}_{test_name}"
     done_test[_id] += 1

     with open(_lowercase,      '''r''') as f:
          __snake_case				=							f.readlines()

     __snake_case				=							f"class {class_name}("
     __snake_case				=							f"{4 * ' '}def {test_name}("
     __snake_case				=							f"{8 * ' '}{correct_line.split()[0]}"
     __snake_case				=							f"{16 * ' '}{correct_line.split()[0]}"
     __snake_case				=							False
     __snake_case				=							False
     __snake_case				=							False
     __snake_case				=							False
     __snake_case				=							0
     __snake_case				=							0

     __snake_case				=							[]
     for line in lines:
          if line.startswith(_lowercase):
               __snake_case				=							True
          elif in_class and line.startswith(_lowercase):
               __snake_case				=							True
          elif in_class and in_func and (line.startswith(_lowercase) or line.startswith(_lowercase)):
               __snake_case				=							len(line.split(correct_line.split()[0])[0])
               count += 1

               if count == done_test[_id]:
                    __snake_case				=							True

          if in_class and in_func and in_line:
               if ")" not in line:
                    continue
               else:
                    __snake_case				=							True

          if in_class and in_func and in_line and insert_line:
               new_lines.append(f"{spaces * ' '}{correct_line}")
               __snake_case				=							False
          else:
               new_lines.append(_lowercase)

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





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case=None):






     if fail is not None:
          with open(_lowercase,      '''r''') as f:
               __snake_case				=							{l.strip() for l in f.readlines()}
     else:
          __snake_case				=							None

     with open(_lowercase,      '''r''') as f:
          __snake_case				=							f.readlines()

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


if __name__ == "__main__":
       __lowercase		:		str														=							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)
       __lowercase		:		Tuple														=							parser.parse_args()

       main(args.correct_filename, args.fail_filename)
"""simple docstring"""



from typing import TYPE_CHECKING

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


__lowercase		:		Dict														=							{
    "configuration_vision_text_dual_encoder": ["VisionTextDualEncoderConfig"],
    "processing_vision_text_dual_encoder": ["VisionTextDualEncoderProcessor"],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase		:		Optional[int]														=							["VisionTextDualEncoderModel"]


try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase		:		Optional[int]														=							["FlaxVisionTextDualEncoderModel"]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase		:		Any														=							["TFVisionTextDualEncoderModel"]


if TYPE_CHECKING:
       from .configuration_vision_text_dual_encoder import VisionTextDualEncoderConfig
       from .processing_vision_text_dual_encoder import VisionTextDualEncoderProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_vision_text_dual_encoder import VisionTextDualEncoderModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_vision_text_dual_encoder import FlaxVisionTextDualEncoderModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_vision_text_dual_encoder import TFVisionTextDualEncoderModel


else:
       import sys

       __lowercase		:		Tuple														=							_LazyModule(__name__, globals()["__file__"], _import_structure)