






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCamelCase      :      List[Any]     						=						logging.get_logger(__name__)

__UpperCamelCase      :      Optional[Any]     						=						{
    """xlm-mlm-en-2048""": """https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json""",
    """xlm-mlm-ende-1024""": """https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-enfr-1024""": """https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json""",
    """xlm-mlm-enro-1024""": """https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json""",
    """xlm-mlm-tlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json""",
    """xlm-mlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json""",
    """xlm-clm-enfr-1024""": """https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json""",
    """xlm-clm-ende-1024""": """https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-17-1280""": """https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json""",
    """xlm-mlm-100-1280""": """https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json""",
}


class        __UpperCamelCase    (     _lowerCAmelCase   ):
 __snake_case	:Tuple   =       'xlm'
 __snake_case	:Any   =       {
     'hidden_size': 'emb_dim',
     'num_attention_heads': 'n_heads',
     'num_hidden_layers': 'n_layers',
     'n_words': 'vocab_size',  # For backward compatibility
 }







 def __init__(  self      :							str       ,				_lowerCAmelCase      :							Tuple=3_0145       ,				_lowerCAmelCase      :							Optional[Any]=2048       ,				_lowerCAmelCase      :							Any=12       ,				_lowerCAmelCase      :							List[Any]=16       ,				_lowerCAmelCase      :							List[str]=0.1       ,				_lowerCAmelCase      :							Union[str, Any]=0.1       ,				_lowerCAmelCase      :							List[str]=True       ,				_lowerCAmelCase      :							Optional[Any]=False       ,				_lowerCAmelCase      :							Any=False       ,				_lowerCAmelCase      :							Optional[int]=False       ,				_lowerCAmelCase      :							Union[str, Any]=1       ,				_lowerCAmelCase      :							Dict=True       ,				_lowerCAmelCase      :							List[Any]=512       ,				_lowerCAmelCase      :							Tuple=2048**-0.5       ,				_lowerCAmelCase      :							int=1e-12       ,				_lowerCAmelCase      :							Optional[int]=0.02       ,				_lowerCAmelCase      :							int=0       ,				_lowerCAmelCase      :							Dict=1       ,				_lowerCAmelCase      :							Any=2       ,				_lowerCAmelCase      :							Optional[int]=3       ,				_lowerCAmelCase      :							List[str]=5       ,				_lowerCAmelCase      :							Any=True       ,				_lowerCAmelCase      :							List[str]="first"       ,				_lowerCAmelCase      :							Optional[Any]=True       ,				_lowerCAmelCase      :							List[Any]=None       ,				_lowerCAmelCase      :							Dict=True       ,				_lowerCAmelCase      :							str=0.1       ,				_lowerCAmelCase      :							Dict=5       ,				_lowerCAmelCase      :							Tuple=5       ,				_lowerCAmelCase      :							Union[str, Any]=0       ,				_lowerCAmelCase      :							Optional[Any]=0       ,				_lowerCAmelCase      :							List[Any]=2       ,				_lowerCAmelCase      :							Optional[Any]=0       ,				**_lowerCAmelCase      :							str       ,				)		-> Dict:
  """simple docstring"""







  __lowercase             =  vocab_size
  __lowercase             =  emb_dim
  __lowercase             =  n_layers
  __lowercase             =  n_heads
  __lowercase             =  dropout
  __lowercase             =  attention_dropout
  __lowercase             =  gelu_activation
  __lowercase             =  sinusoidal_embeddings
  __lowercase             =  causal
  __lowercase             =  asm
  __lowercase             =  n_langs
  __lowercase             =  use_lang_emb
  __lowercase             =  layer_norm_eps
  __lowercase             =  bos_index
  __lowercase             =  eos_index
  __lowercase             =  pad_index
  __lowercase             =  unk_index
  __lowercase             =  mask_index
  __lowercase             =  is_encoder
  __lowercase             =  max_position_embeddings
  __lowercase             =  embed_init_std
  __lowercase             =  init_std
  __lowercase             =  summary_type
  __lowercase             =  summary_use_proj
  __lowercase             =  summary_activation
  __lowercase             =  summary_proj_to_labels
  __lowercase             =  summary_first_dropout
  __lowercase             =  start_n_top
  __lowercase             =  end_n_top
  __lowercase             =  mask_token_id
  __lowercase             =  lang_id

  if "n_words" in kwargs:
   __lowercase             =  kwargs["""n_words"""]

  super().__init__(pad_token_id=_lowerCAmelCase       ,				bos_token_id=_lowerCAmelCase       ,				**_lowerCAmelCase			)


class        __UpperCamelCase    (     _lowerCAmelCase   ):







 @property
 def  _a   (  self      :							Optional[Any]			)		-> Mapping[str, Mapping[int, str]]:
  """simple docstring"""







  if self.task == "multiple-choice":
   __lowercase             =  {0: """batch""", 1: """choice""", 2: """sequence"""}
  else:
   __lowercase             =  {0: """batch""", 1: """sequence"""}
  return OrderedDict(
      [
          ("""input_ids""", dynamic_axis),
          ("""attention_mask""", dynamic_axis),
          ("""token_type_ids""", dynamic_axis),
      ]			)









from __future__ import annotations

from scipy.special import comb  # type: ignore


class        __UpperCamelCase    :







	def __init__(  self      :							int       ,				_lowerCAmelCase      :							list[tuple[float, float]]			)		-> Any:
		"""simple docstring"""







		__lowercase             =  list_of_points
		# Degree determines the flexibility of the curve.
		# Degree = 1 will produce a straight line.
		__lowercase             =  len(_lowerCAmelCase			) - 1







	def  _a   (  self      :							Tuple       ,				_lowerCAmelCase      :							float			)		-> list[float]:
		"""simple docstring"""







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







	def  _a   (  self      :							List[str]       ,				_lowerCAmelCase      :							float			)		-> tuple[float, float]:
		"""simple docstring"""







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

		__lowercase             =  self.basis_function(_lowerCAmelCase			)
		__lowercase             =  0.0
		__lowercase             =  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  _a   (  self      :							Optional[int]       ,				_lowerCAmelCase      :							float = 0.01			)		-> Union[str, Any]:
		"""simple docstring"""







		from matplotlib import pyplot as plt  # type: ignore

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

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

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

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

