"""simple docstring"""
import copy
import random

from transformers import CLIPTokenizer



class   lowerCAmelCase_    (			_A					):



				"""simple docstring"""

				def __init__(				self		,    *lowerCAmelCase		,    **lowerCAmelCase    ):






										"""simple docstring"""

										super().__init__(*UpperCamelCase__		,    **UpperCamelCase__    )
										snake_case								=			{}

				def 		snake_case (				self		,    lowerCAmelCase		,    *lowerCAmelCase		,    **lowerCAmelCase    ):






										"""simple docstring"""

										snake_case								=			super().add_tokens(UpperCamelCase__		,    *UpperCamelCase__		,    **UpperCamelCase__    )
										if num_added_tokens == 0:
																raise ValueError(
																    F"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
																    ' `placeholder_token` that is not already in the tokenizer.'    )

				def 		snake_case (				self		,    lowerCAmelCase		,    *lowerCAmelCase		,    lowerCAmelCase=1		,    **lowerCAmelCase    ):






										"""simple docstring"""

										snake_case								=			[]
										if num_vec_per_token == 1:
																self.try_adding_tokens(UpperCamelCase__		,    *UpperCamelCase__		,    **UpperCamelCase__    )
																output.append(UpperCamelCase__    )
										else:
																snake_case								=			[]
																for i in range(UpperCamelCase__    ):
																						snake_case								=			placeholder_token + F"""_{i}"""
																						self.try_adding_tokens(UpperCamelCase__		,    *UpperCamelCase__		,    **UpperCamelCase__    )
																						output.append(UpperCamelCase__    )
																						# handle cases where there is a new placeholder token that contains the current placeholder token but is larger
										for token in self.token_map:
																if token in placeholder_token:
																						raise ValueError(
																						    F"""The tokenizer already has placeholder token {token} that can get confused with"""
																						    F""" {placeholder_token}keep placeholder tokens independent"""    )
										snake_case								=			output

				def 		snake_case (				self		,    lowerCAmelCase		,    lowerCAmelCase=False		,    lowerCAmelCase=1.0    ):






										"""simple docstring"""

										if isinstance(UpperCamelCase__		,    UpperCamelCase__    ):
																snake_case								=			[]
																for i in range(len(UpperCamelCase__    )    ):
																						output.append(self.replace_placeholder_tokens_in_text(text[i]		,    vector_shuffle=UpperCamelCase__    )    )
																return output
										for placeholder_token in self.token_map:
																if placeholder_token in text:
																						snake_case								=			self.token_map[placeholder_token]
																						snake_case								=			tokens[: 1 + int(len(UpperCamelCase__    ) * prop_tokens_to_load    )]
																						if vector_shuffle:
																												snake_case								=			copy.copy(UpperCamelCase__    )
																												random.shuffle(UpperCamelCase__    )
																						snake_case								=			text.replace(UpperCamelCase__		,    ' '.join(UpperCamelCase__    )    )
										return text

				def __call__(				self		,    lowerCAmelCase		,    *lowerCAmelCase		,    lowerCAmelCase=False		,    lowerCAmelCase=1.0		,    **lowerCAmelCase    ):






										"""simple docstring"""

										return super().__call__(
										    self.replace_placeholder_tokens_in_text(
										        UpperCamelCase__		,    vector_shuffle=UpperCamelCase__		,    prop_tokens_to_load=UpperCamelCase__    )		,    *UpperCamelCase__		,    **UpperCamelCase__		,    )

				def 		snake_case (				self		,    lowerCAmelCase		,    *lowerCAmelCase		,    lowerCAmelCase=False		,    lowerCAmelCase=1.0		,    **lowerCAmelCase    ):






										"""simple docstring"""

										return super().encode(
										    self.replace_placeholder_tokens_in_text(
										        UpperCamelCase__		,    vector_shuffle=UpperCamelCase__		,    prop_tokens_to_load=UpperCamelCase__    )		,    *UpperCamelCase__		,    **UpperCamelCase__		,    )



"""simple docstring"""
from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean





def    lowerCAmelCase__    (			_UpperCamelCase       :				int					)					->				Dict:





						"""simple docstring"""






						def is_in_circle(_UpperCamelCase       :				float ,			_UpperCamelCase       :				float					) -> bool:
												snake_case								=			sqrt((x**2) + (y**2)					)
												# Our circle has a radius of 1, so a distance
												# greater than 1 would land outside the circle.
												return distance_from_centre <= 1

						# The proportion of guesses that landed in the circle
						snake_case								=			mean(
						    int(is_in_circle(uniform(-1.0 ,			1.0					) ,			uniform(-1.0 ,			1.0					)					)					)
						    for _ in range(_UpperCamelCase					)					)
						# The ratio of the area for circle to square is pi/4.
						snake_case								=			proportion * 4
						print(f"""The estimated value of pi is {pi_estimate}"""					)
						print(f"""The numpy value of pi is {pi}"""					)
						print(f"""The total error is {abs(pi - pi_estimate					)}"""					)





def    lowerCAmelCase__    (			_UpperCamelCase       :				int ,			_UpperCamelCase       :				Callable[[float], float] ,			_UpperCamelCase       :				float = 0.0 ,			_UpperCamelCase       :				float = 1.0 ,			)					->				float:





						"""simple docstring"""






						return mean(
						    function_to_integrate(uniform(_UpperCamelCase ,			_UpperCamelCase					)					) for _ in range(_UpperCamelCase					)					) * (max_value - min_value)





def    lowerCAmelCase__    (			_UpperCamelCase       :				int ,			_UpperCamelCase       :				float = 0.0 ,			_UpperCamelCase       :				float = 1.0					)					->				None:





						"""simple docstring"""






						def identity_function(_UpperCamelCase       :				float					) -> float:
												return x

						snake_case								=			area_under_curve_estimator(
						    _UpperCamelCase ,			_UpperCamelCase ,			_UpperCamelCase ,			_UpperCamelCase					)
						snake_case								=			(max_value * max_value - min_value * min_value) / 2

						print('******************'					)
						print(f"""Estimating area under y=x where x varies from {min_value} to {max_value}"""					)
						print(f"""Estimated value is {estimated_value}"""					)
						print(f"""Expected value is {expected_value}"""					)
						print(f"""Total error is {abs(estimated_value - expected_value					)}"""					)
						print('******************'					)





def    lowerCAmelCase__    (			_UpperCamelCase       :				int					)					->				None:





						"""simple docstring"""






						def function_to_integrate(_UpperCamelCase       :				float					) -> float:
												return sqrt(4.0 - x * x					)

						snake_case								=			area_under_curve_estimator(
						    _UpperCamelCase ,			_UpperCamelCase ,			0.0 ,			2.0					)

						print('******************'					)
						print('Estimating pi using area_under_curve_estimator'					)
						print(f"""Estimated value is {estimated_value}"""					)
						print(f"""Expected value is {pi}"""					)
						print(f"""Total error is {abs(estimated_value - pi					)}"""					)
						print('******************'					)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


