



'''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  (   lowerCAmelCase_		,    lowerCAmelCase_						)    ->   Union[str, Any]:
		if name != "training_function" and name != "main":
				raise ValueError(f"""Incorrect function name passed: {name}, choose either 'main' or 'training_function'"""						)
		_a ,      _a  :   Union[str, Any]				 =							[], False
		for line in lines:
				if not found_start and f"""def {name}""" in line:
						_a  :   str				 =							True
						good_lines.append(lowerCAmelCase_						)
						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(lowerCAmelCase_						)



def   __lowerCamelCase  (   lowerCAmelCase_						)    ->   Union[str, Any]:
		return [line for line in lines if not line.lstrip().startswith('#'						) and line != "\n"]



def   __lowerCamelCase  (   lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_ = None						)    ->   Union[str, Any]:
		with open(lowerCAmelCase_		,    'r'						) as f:
				_a  :   Tuple				 =							f.readlines()
		with open(os.path.abspath(os.path.join('examples'		,    'nlp_example.py'						)						)		,    'r'						) as f:
				_a  :   str				 =							f.readlines()
		with open(lowerCAmelCase_		,    'r'						) as f:
				_a  :   List[Any]				 =							f.readlines()
		if secondary_filename is not None:
				with open(lowerCAmelCase_		,    'r'						) as f:
						_a  :   Any				 =							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  :   Any				 =							clean_lines(get_function_contents_by_name(lowerCAmelCase_		,    'main'						)						)
				_a  :   int				 =							clean_lines(get_function_contents_by_name(lowerCAmelCase_		,    'main'						)						)
				_a  :   str				 =							clean_lines(get_function_contents_by_name(lowerCAmelCase_		,    'main'						)						)
				if secondary_filename is not None:
						_a  :   List[str]				 =							clean_lines(get_function_contents_by_name(lowerCAmelCase_		,    'main'						)						)
		else:
				_a  :   List[str]				 =							clean_lines(get_function_contents_by_name(lowerCAmelCase_		,    'training_function'						)						)
				_a  :   str				 =							clean_lines(get_function_contents_by_name(lowerCAmelCase_		,    'training_function'						)						)
				_a  :   List[str]				 =							clean_lines(get_function_contents_by_name(lowerCAmelCase_		,    'training_function'						)						)
				if secondary_filename is not None:
						_a  :   List[Any]				 =							clean_lines(
						    get_function_contents_by_name(lowerCAmelCase_		,    '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  :   str				 =							[]
		_a  :   List[Any]				 =							[]  # We keep track of the idxs just in case it's a repeated statement
		_a  :   Any				 =							iter(lowerCAmelCase_						)
		for i in range(len(lowerCAmelCase_						) - 1						):
				if i not in passed_idxs:
						_a  :   List[str]				 =							next(lowerCAmelCase_						)
						if (line not in full_file_func) and (line.lstrip() != _dl_line):
								if "TESTING_MOCKED_DATALOADERS" not in line:
										new_feature_code.append(lowerCAmelCase_						)
										passed_idxs.append(lowerCAmelCase_						)
								else:
										# Skip over the `config['num_epochs'] = 2` statement
										_a  :   Any				 =							next(lowerCAmelCase_						)

    # Extract out just the new parts from the full_file_training_func
		_a  :   Optional[Any]				 =							[]
		_a  :   Optional[Any]				 =							[]  # We keep track of the idxs just in case it's a repeated statement
		for i, line in enumerate(lowerCAmelCase_						):
				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(lowerCAmelCase_						)
										passed_idxs.append(lowerCAmelCase_						)

    # 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  :   List[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  (   lowerCAmelCase_						)    ->   tuple[int, int]:
		# base case
		if len(lowerCAmelCase_						) == 1:
				return a[0], a[0]
		else:
				# split A into half.
				_a  :   Union[str, Any]				 =							a[: len(lowerCAmelCase_						) // 2]
				_a  :   List[Any]				 =							a[len(lowerCAmelCase_						) // 2 :]

				# 2 sub problems, 1/2 of original size.
				_a ,      _a  :   Any				 =							max_difference(lowerCAmelCase_						)
				_a ,      _a  :   Any				 =							max_difference(lowerCAmelCase_						)

				# get min of first and max of second
				# linear time
				_a  :   Union[str, Any]				 =							min(lowerCAmelCase_						)
				_a  :   Optional[int]				 =							max(lowerCAmelCase_						)

				# 3 cases, either (small1, big1),
				# (min_first, max_second), (small2, big2)
				# constant comparisons
				if biga - smalla > max_second - min_first and biga - smalla > biga - smalla:
						return smalla, biga
				elif biga - smalla > max_second - min_first:
						return smalla, biga
				else:
						return min_first, max_second


if __name__ == "__main__":
							import doctest

							doctest.testmod()




