



'''simple docstring'''





import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase






@require_tokenizers
class  lowerCamelCase_   (    unittest.TestCase					):
  """simple docstring"""




  a_							 =EsmTokenizer




  def 						_lowercase					(			self				:     str       ) -> Optional[int]:
    super().setUp()
    __lowerCamelCase	:	List[Any]   	=			tempfile.mkdtemp()
    # fmt: off
    __lowerCamelCase	:	Dict   	=			['<cls>', '<pad>', '<eos>', '<unk>', 'L', 'A', 'G', 'V', 'S', 'E', 'R', 'T', 'I', 'D', 'P', 'K', 'Q', 'N', 'F', 'Y', 'M', 'H', 'W', 'C', 'X', 'B', 'U', 'Z', 'O', '.', '-', '<null_1>', '<mask>']  # noqa: E501
    # fmt: on
    __lowerCamelCase	:	Any   	=			os.path.join(self.tmpdirname      ,     VOCAB_FILES_NAMES['vocab_file']       )
    with open(self.vocab_file      ,     'w'      ,     encoding='utf-8'       ) as vocab_writer:
      vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]       )       )




  def 						_lowercase					(			self				:     Dict      ,     **_a				:     Union[str, Any]       ) -> List[PreTrainedTokenizerBase]:
    return [self.get_tokenizer(**lowercase__       )]




  def 						_lowercase					(			self				:     List[Any]      ,     **_a				:     List[Any]       ) -> PreTrainedTokenizer:
    return self.tokenizer_class.from_pretrained(self.tmpdirname      ,     **lowercase__       )




  def 						_lowercase					(			self				:     int       ) -> Tuple:
    __lowerCamelCase	:	Optional[int]   	=			self.tokenizer_class(self.vocab_file       )

    __lowerCamelCase	:	Union[str, Any]   	=			tokenizer.tokenize('LAGVS'       )
    self.assertListEqual(lowercase__      ,     ['L', 'A', 'G', 'V', 'S']       )
    self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__       )      ,     [4, 5, 6, 7, 8]       )




  def 						_lowercase					(			self				:     Union[str, Any]       ) -> Union[str, Any]:
    __lowerCamelCase	:	Union[str, Any]   	=			self.tokenizer_class(self.vocab_file       )

    __lowerCamelCase	:	Any   	=			'LAGVS'
    self.assertListEqual(tokenizer.encode(lowercase__       )      ,     [0, 4, 5, 6, 7, 8, 2]       )




  def 						_lowercase					(			self				:     Union[str, Any]       ) -> str:
    __lowerCamelCase	:	Optional[Any]   	=			self.tokenizer_class(self.vocab_file       )

    __lowerCamelCase	:	Dict   	=			['LAGVS', 'WCB']
    __lowerCamelCase	:	Tuple   	=			tokenizer(lowercase__      ,     padding=lowercase__       )['input_ids']

    self.assertListEqual(lowercase__      ,     [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]       )




  def 						_lowercase					(			self				:     Any       ) -> List[str]:
    __lowerCamelCase	:	Dict   	=			self.tokenizer_class(self.vocab_file       )

    __lowerCamelCase	:	Optional[int]   	=			['LAGVS', 'WCB']
    __lowerCamelCase	:	Dict   	=			tokenizer(lowercase__      ,     padding=lowercase__       )['input_ids']

    self.assertListEqual(lowercase__      ,     [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]       )




  def 						_lowercase					(			self				:     List[Any]       ) -> Optional[Any]:
    __lowerCamelCase	:	Dict   	=			self.get_tokenizers(fast=lowercase__       )
    for tokenizer in tokenizers:
      with self.subTest(f'{tokenizer.__class__.__name__}'       ):
        __lowerCamelCase	:	int   	=			'<unk>'
        __lowerCamelCase	:	Tuple   	=			'<mask>'

        __lowerCamelCase	:	Tuple   	=			tokenizer.tokenize(lowercase__       )
        __lowerCamelCase	:	Any   	=			tokenizer.tokenize(lowercase__       )

        self.assertEqual(len(lowercase__       )      ,     1       )
        self.assertEqual(len(lowercase__       )      ,     1       )
        self.assertEqual(token_a[0]      ,     lowercase__       )
        self.assertEqual(token_a[0]      ,     lowercase__       )










'''simple docstring'''





import random






class  lowerCamelCase_   :
  """simple docstring"""




  def __init__(			self				:     Union[str, Any]      ,     _a				:     float      ,     _a				:     float       ) -> None:
    __lowerCamelCase	:	Optional[int]   	=			x
    __lowerCamelCase	:	Union[str, Any]   	=			y




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




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




def 	a_					(							_lowerCAmelCase	)				->				float:
  if number_of_simulations < 1:
    raise ValueError('At least one simulation is necessary to estimate PI.'	)

  __lowerCamelCase	:	Optional[int]   	=			0
  for _ in range(_lowerCAmelCase	):
    __lowerCamelCase	:	Dict   	=			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)}''')






