



'''simple docstring'''

import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
	import torch

	from transformers.generation import (
	    MaxLengthCriteria,
	    MaxNewTokensCriteria,
	    MaxTimeCriteria,
	    StoppingCriteriaList,
	    validate_stopping_criteria,
	)


@require_torch
class 						a__  (					unittest.TestCase						):


	def 					lowercase__	(self			:			List[Any],       __UpperCAmelCase			:			str   )  ->      Optional[int]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Any          =			3
					SCREAMING_SNAKE_CASE	:    Dict          =			250

					SCREAMING_SNAKE_CASE	:    List[Any]          =			ids_tensor((batch_size, length),       __UpperCAmelCase   )
					SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			torch.ones((batch_size, length),       device=__UpperCAmelCase,       dtype=torch.float   ) / length
					return input_ids, scores


	def 					lowercase__	(self			:			Tuple   )  ->      Tuple:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Any          =			self._get_tensors(5   )

					SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			StoppingCriteriaList(
					    [
					        MaxLengthCriteria(max_length=10   ),
					        MaxTimeCriteria(max_time=0.1   ),
					    ]   )

					self.assertFalse(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    Any          =			self._get_tensors(9   )
					self.assertFalse(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    Optional[Any]          =			self._get_tensors(10   )
					self.assertTrue(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )


	def 					lowercase__	(self			:			int   )  ->      Any:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Any          =			MaxLengthCriteria(max_length=10   )

					SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			self._get_tensors(5   )
					self.assertFalse(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			self._get_tensors(9   )
					self.assertFalse(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    str          =			self._get_tensors(10   )
					self.assertTrue(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )


	def 					lowercase__	(self			:			Tuple   )  ->      Union[str, Any]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Tuple          =			MaxNewTokensCriteria(start_length=5,       max_new_tokens=5   )

					SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			self._get_tensors(5   )
					self.assertFalse(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    str          =			self._get_tensors(9   )
					self.assertFalse(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    str          =			self._get_tensors(10   )
					self.assertTrue(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    Optional[Any]          =			StoppingCriteriaList([criteria]   )
					self.assertEqual(criteria_list.max_length,       10   )


	def 					lowercase__	(self			:			Union[str, Any]   )  ->      List[Any]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Any          =			self._get_tensors(5   )

					SCREAMING_SNAKE_CASE	:    str          =			MaxTimeCriteria(max_time=0.1   )
					self.assertFalse(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )

					SCREAMING_SNAKE_CASE	:    Dict          =			MaxTimeCriteria(max_time=0.1,       initial_timestamp=time.time() - 0.2   )
					self.assertTrue(criteria(__UpperCAmelCase,       __UpperCAmelCase   )   )






	def 					lowercase__	(self			:			str   )  ->      Any:

					"""simple docstring"""

					validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   ),       10   )

					with self.assertWarns(__UpperCAmelCase   ):
									validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   ),       11   )

					SCREAMING_SNAKE_CASE	:    int          =			validate_stopping_criteria(StoppingCriteriaList(),       11   )

					self.assertEqual(len(__UpperCAmelCase   ),       1   )












"""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
