
"""simple docstring"""





from __future__ import annotations

from scipy.special import comb  # type: ignore



class __lowerCAmelCase				:




			"""simple docstring"""







			def __init__(				self						:					Union[str, Any]       ,   _snake_case						:					list[tuple[float, float]]	)      -> List[Any]:







								"""simple docstring"""
								A_				 =						list_of_points
								# Degree determines the flexibility of the curve.
								# Degree = 1 will produce a straight line.
								A_				 =						len(_snake_case	) - 1




			def      lowerCamelCase__     (				self						:					str       ,   _snake_case						:					float	)      -> list[float]:







								"""simple docstring"""
								assert 0 <= t <= 1, "Time t must be between 0 and 1."
								A_				 =						[]
								for i in range(len(self.list_of_points	)	):
													# basis function for each i
													output_values.append(
													    comb(self.degree       ,   _snake_case	) * ((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(_snake_case	)       ,   5	) == 1
								return output_values




			def      lowerCamelCase__     (				self						:					List[str]       ,   _snake_case						:					float	)      -> tuple[float, float]:







								"""simple docstring"""
								assert 0 <= t <= 1, "Time t must be between 0 and 1."

								A_				 =						self.basis_function(_snake_case	)
								A_				 =						0.0
								A_				 =						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      lowerCamelCase__     (				self						:					Tuple       ,   _snake_case						:					float = 0.0_1	)      -> Tuple:







								"""simple docstring"""
								from matplotlib import pyplot as plt  # type: ignore

								A_				 =						[]  # x coordinates of points to plot
								A_				 =						[]  # y coordinates of points to plot

								A_				 =						0.0
								while t <= 1:
													A_				 =						self.bezier_curve_function(_snake_case	)
													to_plot_x.append(value[0]	)
													to_plot_y.append(value[1]	)
													t += step_size

								A_				 =						[i[0] for i in self.list_of_points]
								A_				 =						[i[1] for i in self.list_of_points]

								plt.plot(
								    _snake_case       ,   _snake_case       ,   color="blue"       ,   label="Curve of Degree " + str(self.degree	)       ,   )
								plt.scatter(_snake_case       ,   _snake_case       ,   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






"""simple docstring"""





import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
UpperCamelCase_					:						Optional[Any]				= '''src/transformers'''


# This is to make sure the transformers module imported is the one in the repo.
UpperCamelCase_					:						Union[str, Any]				= direct_transformers_import(PATH_TO_TRANSFORMERS)

UpperCamelCase_					:						List[Any]				= transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
UpperCamelCase_					:						str				= re.compile(R'''\[(.+?)\]\((https://huggingface\.co/.+?)\)''')


UpperCamelCase_					:						Dict				= {
    '''DecisionTransformerConfig''',
    '''EncoderDecoderConfig''',
    '''MusicgenConfig''',
    '''RagConfig''',
    '''SpeechEncoderDecoderConfig''',
    '''TimmBackboneConfig''',
    '''VisionEncoderDecoderConfig''',
    '''VisionTextDualEncoderConfig''',
    '''LlamaConfig''',
}
def 							A_     (__a				):

					'''simple docstring'''





					A_				 =						None

					# source code of `config_class`
					A_				 =						inspect.getsource(__a				)
					A_				 =						_re_checkpoint.findall(__a				)

					# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
					# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
					for ckpt_name, ckpt_link in checkpoints:
										# allow the link to end with `/`
										if ckpt_link.endswith("/"				):
															A_				 =						ckpt_link[:-1]

										# verify the checkpoint name corresponds to the checkpoint link
										A_				 =						f'https://huggingface.co/{ckpt_name}'
										if ckpt_link == ckpt_link_from_name:
															A_				 =						ckpt_name
															break

					return checkpoint
def 							A_     ():

					'''simple docstring'''





					A_				 =						[]

					for config_class in list(CONFIG_MAPPING.values()				):
										# Skip deprecated models
										if "models.deprecated" in config_class.__module__:
															continue
										A_				 =						get_checkpoint_from_config_class(__a				)

										A_				 =						config_class.__name__
										if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
															configs_without_checkpoint.append(__a				)

					if len(__a				) > 0:
										A_				 =						"\n".join(sorted(__a				)				)
										raise ValueError(f'The following configurations don\'t contain any valid checkpoint:\n{message}'				)


if __name__ == "__main__":
		check_config_docstrings_have_checkpoints()




