



# 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 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			List[str]:



						'''simple docstring'''






						if name != "training_function" and name != "main":
												raise ValueError(f"Incorrect function name passed: {name}, choose either 'main' or 'training_function'"      )
						UpperCAmelCase_				, UpperCAmelCase_					=	[], False
						for line in lines:
												if not found_start and f"def {name}" in line:
																		UpperCAmelCase_					=	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 							A     (						__UpperCAmelCase      )			->			int:



						'''simple docstring'''






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







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase = None      )			->			Union[str, Any]:



						'''simple docstring'''






						with open(__UpperCAmelCase				,   '''r'''      ) as f:
												UpperCAmelCase_					=	f.readlines()
						with open(os.path.abspath(os.path.join('''examples'''				,   '''nlp_example.py'''      )      )				,   '''r'''      ) as f:
												UpperCAmelCase_					=	f.readlines()
						with open(__UpperCAmelCase				,   '''r'''      ) as f:
												UpperCAmelCase_					=	f.readlines()
						if secondary_filename is not None:
												with open(__UpperCAmelCase				,   '''r'''      ) as f:
																		UpperCAmelCase_					=	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:
												UpperCAmelCase_					=	clean_lines(get_function_contents_by_name(__UpperCAmelCase				,   '''main'''      )      )
												UpperCAmelCase_					=	clean_lines(get_function_contents_by_name(__UpperCAmelCase				,   '''main'''      )      )
												UpperCAmelCase_					=	clean_lines(get_function_contents_by_name(__UpperCAmelCase				,   '''main'''      )      )
												if secondary_filename is not None:
																		UpperCAmelCase_					=	clean_lines(get_function_contents_by_name(__UpperCAmelCase				,   '''main'''      )      )
						else:
												UpperCAmelCase_					=	clean_lines(get_function_contents_by_name(__UpperCAmelCase				,   '''training_function'''      )      )
												UpperCAmelCase_					=	clean_lines(get_function_contents_by_name(__UpperCAmelCase				,   '''training_function'''      )      )
												UpperCAmelCase_					=	clean_lines(get_function_contents_by_name(__UpperCAmelCase				,   '''training_function'''      )      )
												if secondary_filename is not None:
																		UpperCAmelCase_					=	clean_lines(
																		    get_function_contents_by_name(__UpperCAmelCase				,   '''training_function'''      )      )

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

    # Extract out just the new parts from the full_file_training_func
						UpperCAmelCase_					=	[]
						UpperCAmelCase_					=	[]  # 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
						UpperCAmelCase_					=	[line for line in new_feature_code if line not in new_full_example_parts]
						if secondary_filename is not None:
												UpperCAmelCase_					=	[line for line in full_file_contents if line not in secondary_file_func]
												UpperCAmelCase_					=	[line for line in diff_from_example if line not in diff_from_two]

						return diff_from_example










import random







class 				a_    :

						def __init__(       self      :Union[str, Any]  ,		_lowercase      :float  ,		_lowercase      :float)						->   None:
												UpperCAmelCase_					=	x
												UpperCAmelCase_					=	y

						def       __a			(       self      :str)						->   bool:
												return (self.x**2 + self.y**2) <= 1




						@classmethod
						def       __a			(       cls      :Optional[Any])						->   str:
												return cls(x=random.random()  ,		y=random.random())







def 							A     (						__UpperCAmelCase      )			->			float:



						'''simple docstring'''






						if number_of_simulations < 1:
												raise ValueError('''At least one simulation is necessary to estimate PI.'''      )

						UpperCAmelCase_					=	0
						for _ in range(__UpperCAmelCase      ):
												UpperCAmelCase_					=	Point.random_unit_square()

												if random_point.is_in_unit_circle():
																		number_in_unit_circle += 1

						return 4 * number_in_unit_circle / number_of_simulations


if __name__ == "__main__":
							# import doctest

							# doctest.testmod()
							from math import pi

							UpperCamelCase_      			=  "Please enter the desired number of Monte Carlo simulations: "
							UpperCamelCase_      			=  estimate_pi(int(input(prompt).strip()))
							print(f"An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}")





