



'''simple docstring'''

import os
from typing import Dict, List, Union

import tensorflow as tf
from keras_nlp.tokenizers import BytePairTokenizer
from tensorflow_text import pad_model_inputs

from .tokenization_gpta import GPTaTokenizer


class 						a__  (					tf.keras.layers.Layer						):


	def __init__(self			:			Union[str, Any],       __UpperCAmelCase			:			Dict[str, int],       __UpperCAmelCase			:			List[str],       __UpperCAmelCase			:			int = None,       __UpperCAmelCase			:			int = None   )  ->      Union[str, Any]:

					"""simple docstring"""

					super().__init__()
					SCREAMING_SNAKE_CASE	:    str          =			pad_token_id
					SCREAMING_SNAKE_CASE	:    List[Any]          =			max_length
					SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			vocab
					SCREAMING_SNAKE_CASE	:    Any          =			merges
					SCREAMING_SNAKE_CASE	:    Dict          =			BytePairTokenizer(__UpperCAmelCase,       __UpperCAmelCase,       sequence_length=__UpperCAmelCase   )


	@classmethod
	def 					lowercase__	(cls			:			Any,       __UpperCAmelCase			:			GPTaTokenizer,       *__UpperCAmelCase			:			Optional[Any],       **__UpperCAmelCase			:			List[str]   )  ->      Any:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			[""" """.join(__UpperCAmelCase   ) for m in tokenizer.bpe_ranks.keys()]
					SCREAMING_SNAKE_CASE	:    List[Any]          =			tokenizer.get_vocab()
					return cls(__UpperCAmelCase,       __UpperCAmelCase,       *__UpperCAmelCase,       **__UpperCAmelCase   )


	@classmethod
	def 					lowercase__	(cls			:			Any,       __UpperCAmelCase			:			Union[str, os.PathLike],       *__UpperCAmelCase			:			Any,       **__UpperCAmelCase			:			List[str]   )  ->      Optional[int]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    int          =			GPTaTokenizer.from_pretrained(__UpperCAmelCase,       *__UpperCAmelCase,       **__UpperCAmelCase   )
					return cls.from_tokenizer(__UpperCAmelCase,       *__UpperCAmelCase,       **__UpperCAmelCase   )


	@classmethod
	def 					lowercase__	(cls			:			Tuple,       __UpperCAmelCase			:			int   )  ->      Any:

					"""simple docstring"""

					return cls(**__UpperCAmelCase   )


	def 					lowercase__	(self			:			Optional[Any]   )  ->      Optional[int]:

					"""simple docstring"""

					return {
					    "vocab": self.vocab,
					    "merges": self.merges,
					    "max_length": self.max_length,
					    "pad_token_id": self.pad_token_id,
					}






	def 					lowercase__	(self			:			Union[str, Any],       __UpperCAmelCase			:			List[str],       __UpperCAmelCase			:			int = None   )  ->      List[str]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    int          =			self.tf_tokenizer(__UpperCAmelCase   )
					SCREAMING_SNAKE_CASE	:    Dict          =			tf.ones_like(__UpperCAmelCase   )

					if self.pad_token_id is not None:
									# pad the tokens up to max length
									SCREAMING_SNAKE_CASE	:    str          =			max_length if max_length is not None else self.max_length

									if max_length is not None:
													SCREAMING_SNAKE_CASE	:    Optional[Any]          =			pad_model_inputs(
													    __UpperCAmelCase,       max_seq_length=__UpperCAmelCase,       pad_value=self.pad_token_id   )

					return {"attention_mask": attention_mask, "input_ids": input_ids}












"""simple docstring"""







from __future__ import annotations

from scipy.special import comb  # type: ignore


class      UpperCamelCase		:






						def __init__(		self  :Any			, __magic_name__  :list[tuple[float, float]]				)      ->str:
										lowercase    :      List[Any]       = list_of_points
										# Degree determines the flexibility of the curve.
										# Degree = 1 will produce a straight line.
										lowercase    :      Optional[int]       = len(__magic_name__				) - 1






						def      __snake_case      (		self  :List[str]			, __magic_name__  :float				)      ->list[float]:
										assert 0 <= t <= 1, "Time t must be between 0 and 1."
										lowercase    :      list[float]       = []
										for i in range(len(self.list_of_points				)				):
														# basis function for each i
														output_values.append(
														    comb(self.degree			, __magic_name__				) * ((1 - t) ** (self.degree - i)) * (t**i)				)
										# the basis must sum up to 1 for it to produce a valid Bezier curve.
										assert round(sum(__magic_name__				)			, 5				) == 1
										return output_values






						def      __snake_case      (		self  :List[str]			, __magic_name__  :float				)      ->tuple[float, float]:
										assert 0 <= t <= 1, "Time t must be between 0 and 1."

										lowercase    :      str       = self.basis_function(__magic_name__				)
										lowercase    :      Optional[int]       = 0.0
										lowercase    :      List[str]       = 0.0
										for i in range(len(self.list_of_points				)				):
														# For all points, sum up the product of i-th basis function and i-th point.
														x += basis_function[i] * self.list_of_points[i][0]
														y += basis_function[i] * self.list_of_points[i][1]
										return (x, y)






						def      __snake_case      (		self  :Tuple			, __magic_name__  :float = 0.01				)      ->List[str]:
										from matplotlib import pyplot as plt  # type: ignore

										lowercase    :      list[float]       = []  # x coordinates of points to plot
										lowercase    :      list[float]       = []  # y coordinates of points to plot

										lowercase    :      int       = 0.0
										while t <= 1:
														lowercase    :      List[Any]       = self.bezier_curve_function(__magic_name__				)
														to_plot_x.append(value[0]				)
														to_plot_y.append(value[1]				)
														t += step_size

										lowercase    :      Union[str, Any]       = [i[0] for i in self.list_of_points]
										lowercase    :      Optional[int]       = [i[1] for i in self.list_of_points]

										plt.plot(
										    __magic_name__			, __magic_name__			, color="""blue"""			, label="""Curve of Degree """ + str(self.degree				)			, )
										plt.scatter(__magic_name__			, __magic_name__			, color="""red"""			, label="""Control Points"""				)
										plt.legend()
										plt.show()


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				BezierCurve([(1, 2), (3, 5)]).plot_curve()  # degree 1
				BezierCurve([(0, 0), (5, 5), (5, 0)]).plot_curve()  # degree 2
				BezierCurve([(0, 0), (5, 5), (5, 0), (2.5, -2.5)]).plot_curve()  # degree 3
