

import argparse
from collections import defaultdict






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__			)  ->     Optional[Any]:
	__lowerCamelCase				:				List[str]					       = F"{file}_{class_name}_{test_name}"
	done_test[_id] += 1

	with open(lowerCamelCase__	, 'r'			) as f:
		__lowerCamelCase				:				Tuple					       = f.readlines()

	__lowerCamelCase				:				Optional[Any]					       = F"class {class_name}("
	__lowerCamelCase				:				Tuple					       = F"{4 * ' '}def {test_name}("
	__lowerCamelCase				:				List[str]					       = F"{8 * ' '}{correct_line.split()[0]}"
	__lowerCamelCase				:				Union[str, Any]					       = F"{1_6 * ' '}{correct_line.split()[0]}"
	__lowerCamelCase				:				List[str]					       = False
	__lowerCamelCase				:				List[str]					       = False
	__lowerCamelCase				:				List[str]					       = False
	__lowerCamelCase				:				Any					       = False
	__lowerCamelCase				:				Optional[int]					       = 0
	__lowerCamelCase				:				Union[str, Any]					       = 0

	__lowerCamelCase				:				Dict					       = []
	for line in lines:
		if line.startswith(lowerCamelCase__			):
			__lowerCamelCase				:				int					       = True
		elif in_class and line.startswith(lowerCamelCase__			):
			__lowerCamelCase				:				Union[str, Any]					       = True
		elif in_class and in_func and (line.startswith(lowerCamelCase__			) or line.startswith(lowerCamelCase__			)):
			__lowerCamelCase				:				Dict					       = len(line.split(correct_line.split()[0]			)[0]			)
			count += 1

			if count == done_test[_id]:
				__lowerCamelCase				:				int					       = True

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

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

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






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__=None			)  ->     Union[str, Any]:
	if fail is not None:
		with open(lowerCamelCase__	, 'r'			) as f:
			__lowerCamelCase				:				str					       = {l.strip() for l in f.readlines()}
	else:
		__lowerCamelCase				:				List[Any]					       = None

	with open(lowerCamelCase__	, 'r'			) as f:
		__lowerCamelCase				:				Optional[Any]					       = f.readlines()

	__lowerCamelCase				:				Union[str, Any]					       = defaultdict(lowerCamelCase__			)
	for line in correct_lines:
		__lowerCamelCase       , __lowerCamelCase       , __lowerCamelCase       , __lowerCamelCase				:				Any					       = 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)












"""simple docstring"""





# Copyright 2023 The HuggingFace Inc. 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.
from typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
  from PIL import Image






class      a						(					__snake_case		):
    SCREAMING_SNAKE_CASE						:     Dict						= """Salesforce/blip-image-captioning-base"""
    SCREAMING_SNAKE_CASE						:     int						= (
        """This is a tool that generates a description of an image. It takes an input named `image` which should be the """
        """image to caption, and returns a text that contains the description in English."""
    )
    SCREAMING_SNAKE_CASE						:     Optional[int]						= """image_captioner"""
    SCREAMING_SNAKE_CASE						:     Optional[Any]						= AutoModelForVisionaSeq

    SCREAMING_SNAKE_CASE						:     int						= ["""image"""]
    SCREAMING_SNAKE_CASE						:     Optional[Any]						= ["""text"""]






    def __init__(       self     :							Optional[Any]       ,						*__SCREAMING_SNAKE_CASE     :							Optional[Any]       ,						**__SCREAMING_SNAKE_CASE     :							List[Any]					)     ->		Optional[Any]:
      requires_backends(self       ,						['vision']					)
      super().__init__(*__SCREAMING_SNAKE_CASE       ,						**__SCREAMING_SNAKE_CASE					)






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							"Image"					)     ->		Dict:
      return self.pre_processor(images=__SCREAMING_SNAKE_CASE       ,						return_tensors='pt'					)






    def    UpperCamelCase       (       self     :							List[str]       ,						__SCREAMING_SNAKE_CASE     :							Tuple					)     ->		str:
      return self.model.generate(**__SCREAMING_SNAKE_CASE					)






    def    UpperCamelCase       (       self     :							Union[str, Any]       ,						__SCREAMING_SNAKE_CASE     :							List[str]					)     ->		Optional[Any]:
      return self.pre_processor.batch_decode(__SCREAMING_SNAKE_CASE       ,						skip_special_tokens=__SCREAMING_SNAKE_CASE					)[0].strip()




