"""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(		__UpperCAmelCase  ,__UpperCAmelCase      ):






	"""simple docstring"""





	if name != "training_function" and name != "main":
		raise ValueError(F'''Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''''      )
	_lowercase					,   _lowercase			:     Dict      					=				[], False
	for line in lines:
		if not found_start and F'''def {name}''' in line:
			_lowercase			:     List[Any]      					=				True
			good_lines.append(__UpperCAmelCase      )
			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(__UpperCAmelCase      )


def   __lowerCAmelCase(		__UpperCAmelCase      ):






	"""simple docstring"""





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







def   __lowerCAmelCase(		__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase = None      ):






	"""simple docstring"""





	with open(__UpperCAmelCase  ,'r'      ) as f:
		_lowercase			:     Optional[Any]      					=				f.readlines()
	with open(os.path.abspath(os.path.join('examples'  ,'nlp_example.py'      )      )  ,'r'      ) as f:
		_lowercase			:     Union[str, Any]      					=				f.readlines()
	with open(__UpperCAmelCase  ,'r'      ) as f:
		_lowercase			:     Optional[Any]      					=				f.readlines()
	if secondary_filename is not None:
		with open(__UpperCAmelCase  ,'r'      ) as f:
			_lowercase			:     Optional[int]      					=				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:
		_lowercase			:     Optional[Any]      					=				clean_lines(get_function_contents_by_name(__UpperCAmelCase  ,'main'      )      )
		_lowercase			:     List[Any]      					=				clean_lines(get_function_contents_by_name(__UpperCAmelCase  ,'main'      )      )
		_lowercase			:     Dict      					=				clean_lines(get_function_contents_by_name(__UpperCAmelCase  ,'main'      )      )
		if secondary_filename is not None:
			_lowercase			:     Optional[int]      					=				clean_lines(get_function_contents_by_name(__UpperCAmelCase  ,'main'      )      )
	else:
		_lowercase			:     Optional[Any]      					=				clean_lines(get_function_contents_by_name(__UpperCAmelCase  ,'training_function'      )      )
		_lowercase			:     Optional[Any]      					=				clean_lines(get_function_contents_by_name(__UpperCAmelCase  ,'training_function'      )      )
		_lowercase			:     List[Any]      					=				clean_lines(get_function_contents_by_name(__UpperCAmelCase  ,'training_function'      )      )
		if secondary_filename is not None:
			_lowercase			:     List[Any]      					=				clean_lines(
			    get_function_contents_by_name(__UpperCAmelCase  ,'training_function'      )      )

	_lowercase			:     List[str]      					=				'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
	_lowercase			:     Optional[int]      					=				[]
	_lowercase			:     str      					=				[]  # We keep track of the idxs just in case it's a repeated statement
	_lowercase			:     str      					=				iter(__UpperCAmelCase      )
	for i in range(len(__UpperCAmelCase      ) - 1      ):
		if i not in passed_idxs:
			_lowercase			:     Optional[int]      					=				next(__UpperCAmelCase      )
			if (line not in full_file_func) and (line.lstrip() != _dl_line):
				if "TESTING_MOCKED_DATALOADERS" not in line:
					new_feature_code.append(__UpperCAmelCase      )
					passed_idxs.append(__UpperCAmelCase      )
				else:
					# Skip over the `config['num_epochs'] = 2` statement
					_lowercase			:     Tuple      					=				next(__UpperCAmelCase      )

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

    # Finally, get the overall diff
	_lowercase			:     Optional[int]      					=				[line for line in new_feature_code if line not in new_full_example_parts]
	if secondary_filename is not None:
		_lowercase			:     Tuple      					=				[line for line in full_file_contents if line not in secondary_file_func]
		_lowercase			:     str      					=				[line for line in diff_from_example if line not in diff_from_two]

	return diff_from_example




"""simple docstring"""







from __future__ import annotations

import math
import random


def   __lowerCAmelCase(		__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase      ):






	"""simple docstring"""





	_lowercase			:     Optional[int]      					=				d * e - 1
	_lowercase			:     int      					=				0
	_lowercase			:     Union[str, Any]      					=				0
	while p == 0:
		_lowercase			:     int      					=				random.randint(2  ,n - 1      )
		_lowercase			:     str      					=				k
		while True:
			if t % 2 == 0:
				_lowercase			:     List[Any]      					=				t // 2
				_lowercase			:     int      					=				(g**t) % n
				_lowercase			:     Tuple      					=				math.gcd(x - 1  ,__UpperCAmelCase      )
				if x > 1 and y > 1:
					_lowercase			:     List[str]      					=				y
					_lowercase			:     str      					=				n // y
					break  # find the correct factors
			else:
				break  # t is not divisible by 2, break and choose another g
	return sorted([p, q]      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



