




'''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_    )		->		Any:
			if name != "training_function" and name != "main":
						raise ValueError(F'Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''    )
			A_		,   A_       		=   [], False
			for line in lines:
						if not found_start and F'def {name}' in line:
									A_       		=   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_    )		->		Any:
			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    )		->		Optional[int]:
			with open(SCREAMING_SNAKE_CASE_					,'r'    ) as f:
						A_       		=   f.readlines()
			with open(os.path.abspath(os.path.join('examples'					,'nlp_example.py'    )    )					,'r'    ) as f:
						A_       		=   f.readlines()
			with open(SCREAMING_SNAKE_CASE_					,'r'    ) as f:
						A_       		=   f.readlines()
			if secondary_filename is not None:
						with open(SCREAMING_SNAKE_CASE_					,'r'    ) as f:
									A_       		=   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_       		=   clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'main'    )    )
						A_       		=   clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'main'    )    )
						A_       		=   clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'main'    )    )
						if secondary_filename is not None:
									A_       		=   clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'main'    )    )
			else:
						A_       		=   clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'training_function'    )    )
						A_       		=   clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'training_function'    )    )
						A_       		=   clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'training_function'    )    )
						if secondary_filename is not None:
									A_       		=   clean_lines(
									    get_function_contents_by_name(SCREAMING_SNAKE_CASE_					,'training_function'    )    )

			A_       		=   '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_       		=   []
			A_       		=   []  # We keep track of the idxs just in case it's a repeated statement
			A_       		=   iter(SCREAMING_SNAKE_CASE_    )
			for i in range(len(SCREAMING_SNAKE_CASE_    ) - 1    ):
						if i not in passed_idxs:
									A_       		=   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_       		=   next(SCREAMING_SNAKE_CASE_    )

    # Extract out just the new parts from the full_file_training_func
			A_       		=   []
			A_       		=   []  # 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_       		=   [line for line in new_feature_code if line not in new_full_example_parts]
			if secondary_filename is not None:
						A_       		=   [line for line in full_file_contents if line not in secondary_file_func]
						A_       		=   [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_    )		->		int:

			if not isinstance(SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    ) or number < 0:
						raise ValueError('Input must be a non-negative integer'    )

			A_       		=   number & ~(number - 1)
			A_       		=   0
			while intermediate:
						intermediate >>= 1
						index += 1
			return index - 1


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)




