






'''simple docstring'''


# Copyright 2022 The HuggingFace 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.
import os
from typing import List






def   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		):
 if name != "training_function" and name != "main":
  raise ValueError(f'''Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''''		)
 __a			,    __a    :	Any									=						[], False
 for line in lines:
  if not found_start and f'''def {name}''' in line:
   __a    :	Optional[Any]									=						True
   good_lines.append(SCREAMING_SNAKE_CASE__		)
   continue
  if found_start:
   if name == "training_function" and "def main" in line:
    return good_lines
   if name == "main" and "if __name__" in line:
    return good_lines
   good_lines.append(SCREAMING_SNAKE_CASE__		)






def   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__		):
 return [line for line in lines if not line.lstrip().startswith('#'		) and line != "\n"]






def   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__ = None		):
 with open(SCREAMING_SNAKE_CASE__       ,		'r'		) as f:
  __a    :	List[str]									=						f.readlines()
 with open(os.path.abspath(os.path.join('examples'       ,		'nlp_example.py'		)		)       ,		'r'		) as f:
  __a    :	Any									=						f.readlines()
 with open(SCREAMING_SNAKE_CASE__       ,		'r'		) as f:
  __a    :	str									=						f.readlines()
 if secondary_filename is not None:
  with open(SCREAMING_SNAKE_CASE__       ,		'r'		) as f:
   __a    :	Dict									=						f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
 if parser_only:
  __a    :	int									=						clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'main'		)		)
  __a    :	Optional[int]									=						clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'main'		)		)
  __a    :	List[str]									=						clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'main'		)		)
  if secondary_filename is not None:
   __a    :	Tuple									=						clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'main'		)		)
 else:
  __a    :	int									=						clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'training_function'		)		)
  __a    :	Optional[Any]									=						clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'training_function'		)		)
  __a    :	List[str]									=						clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'training_function'		)		)
  if secondary_filename is not None:
   __a    :	str									=						clean_lines(
       get_function_contents_by_name(SCREAMING_SNAKE_CASE__       ,		'training_function'		)		)

 __a    :	int									=						'train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n'

 # Specific code in our script that differs from the full version, aka what is new
 __a    :	Optional[int]									=						[]
 __a    :	Tuple									=						[]  # We keep track of the idxs just in case it's a repeated statement
 __a    :	Dict									=						iter(SCREAMING_SNAKE_CASE__		)
 for i in range(len(SCREAMING_SNAKE_CASE__		) - 1		):
  if i not in passed_idxs:
   __a    :	Optional[Any]									=						next(SCREAMING_SNAKE_CASE__		)
   if (line not in full_file_func) and (line.lstrip() != _dl_line):
    if "TESTING_MOCKED_DATALOADERS" not in line:
     new_feature_code.append(SCREAMING_SNAKE_CASE__		)
     passed_idxs.append(SCREAMING_SNAKE_CASE__		)
    else:
     # Skip over the `config['num_epochs'] = 2` statement
     __a    :	Optional[int]									=						next(SCREAMING_SNAKE_CASE__		)

    # Extract out just the new parts from the full_file_training_func
 __a    :	List[Any]									=						[]
 __a    :	List[Any]									=						[]  # We keep track of the idxs just in case it's a repeated statement
 for i, line in enumerate(SCREAMING_SNAKE_CASE__		):
  if i not in passed_idxs:
   if (line not in full_file_func) and (line.lstrip() != _dl_line):
    if "TESTING_MOCKED_DATALOADERS" not in line:
     new_full_example_parts.append(SCREAMING_SNAKE_CASE__		)
     passed_idxs.append(SCREAMING_SNAKE_CASE__		)

    # Finally, get the overall diff
 __a    :	List[Any]									=						[line for line in new_feature_code if line not in new_full_example_parts]
 if secondary_filename is not None:
  __a    :	Union[str, Any]									=						[line for line in full_file_contents if line not in secondary_file_func]
  __a    :	Dict									=						[line for line in diff_from_example if line not in diff_from_two]

 return diff_from_example












'''simple docstring'''


def   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__		):
 if len(SCREAMING_SNAKE_CASE__		) <= 1:
  return data
 else:
  return [
      *quick_sort([e for e in data[1:] if e <= data[0]]		),
      data[0],
      *quick_sort([e for e in data[1:] if e > data[0]]		),
  ]


if __name__ == "__main__":
  import doctest

  doctest.testmod()




