



import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


UpperCamelCase_      			=  logging.get_logger(__name__)

UpperCamelCase_      			=  {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

UpperCamelCase_      			=  {
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json",
    },
}







class 				a_    (						_snake_case							):

						def __init__(       self      :Dict  ,		_lowercase      :Optional[Any]=None  ,		_lowercase      :Optional[int]=None  ,		_lowercase      :List[Any]=False  ,		_lowercase      :int=True  ,		_lowercase      :Tuple=False  ,		_lowercase      :str="<s>"  ,		_lowercase      :Optional[int]="</s>"  ,		_lowercase      :List[str]="<unk>"  ,		_lowercase      :Optional[int]="<sep>"  ,		_lowercase      :Tuple="<pad>"  ,		_lowercase      :Any="<cls>"  ,		_lowercase      :int="<mask>"  ,		_lowercase      :int=["<eop>", "<eod>"]  ,		**_lowercase      :List[str]  ,		)						->   Union[str, Any]:
												UpperCAmelCase_					=	AddedToken(_lowercase  ,		lstrip=_lowercase  ,		rstrip=_lowercase) if isinstance(_lowercase  ,		_lowercase) else mask_token

												super().__init__(
												    vocab_file=_lowercase  ,		tokenizer_file=_lowercase  ,		do_lower_case=_lowercase  ,		remove_space=_lowercase  ,		keep_accents=_lowercase  ,		bos_token=_lowercase  ,		eos_token=_lowercase  ,		unk_token=_lowercase  ,		sep_token=_lowercase  ,		pad_token=_lowercase  ,		cls_token=_lowercase  ,		mask_token=_lowercase  ,		additional_special_tokens=_lowercase  ,		**_lowercase  ,		)

												UpperCAmelCase_					=	3
												UpperCAmelCase_					=	do_lower_case
												UpperCAmelCase_					=	remove_space
												UpperCAmelCase_					=	keep_accents
												UpperCAmelCase_					=	vocab_file
												UpperCAmelCase_					=	False if not self.vocab_file else True

												try:
																		import jieba
												except ModuleNotFoundError as error:
																		raise error.__class__(
																		    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
																		    '''See https://pypi.org/project/jieba/ for installation.''')
												UpperCAmelCase_					=	jieba
												UpperCAmelCase_					=	str.maketrans(''' \n'''  ,		'''\u2582\u2583''')

						def       __a			(       self      :List[Any]  ,		_lowercase      :List[int]  ,		_lowercase      :Optional[List[int]] = None)						->   List[int]:
												UpperCAmelCase_					=	[self.sep_token_id]
												UpperCAmelCase_					=	[self.cls_token_id]
												if token_ids_a is None:
																		return token_ids_a + sep + cls
												return token_ids_a + sep + token_ids_a + sep + cls

						def       __a			(       self      :Dict  ,		_lowercase      :List[int]  ,		_lowercase      :Optional[List[int]] = None)						->   List[int]:
												UpperCAmelCase_					=	[self.sep_token_id]
												UpperCAmelCase_					=	[2]

												if token_ids_a is None:
																		return len(token_ids_a + sep) * [0] + cls_segment_id
												return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1] + cls_segment_id

						def       __a			(       self      :int  ,		_lowercase      :str  ,		_lowercase      :Optional[str] = None)						->   Tuple[str]:
												if not self.can_save_slow_tokenizer:
																		raise ValueError(
																		    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
																		    '''tokenizer.''')

												if not os.path.isdir(_lowercase):
																		logger.error(f"Vocabulary path ({save_directory}) should be a directory")
																		return
												UpperCAmelCase_					=	os.path.join(
												    _lowercase  ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])

												if os.path.abspath(self.vocab_file) != os.path.abspath(_lowercase):
																		copyfile(self.vocab_file  ,		_lowercase)

												return (out_vocab_file,)

						def       __a			(       self      :str  ,		_lowercase      :Tuple  ,		*_lowercase      :Tuple  ,		**_lowercase      :List[str])						->   str:
												UpperCAmelCase_					=	[
												    ''' '''.join([x.translate(self.translator) for x in self.jieba.cut(_lowercase  ,		cut_all=_lowercase)])
												    for text in batch_text_or_text_pairs
												]
												return super()._batch_encode_plus(_lowercase  ,		*_lowercase  ,		**_lowercase)




						def       __a			(       self      :Optional[Any]  ,		*_lowercase      :int  ,		**_lowercase      :Union[str, Any])						->   str:
												UpperCAmelCase_					=	super()._decode(*_lowercase  ,		**_lowercase)
												UpperCAmelCase_					=	text.replace(''' '''  ,		'''''').replace('''\u2582'''  ,		''' ''').replace('''\u2583'''  ,		'''\n''')
												return text










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)}")





