






"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_	:				Dict										= logging.get_logger(__name__)

UpperCamelCase_	:				Dict										= {
    """facebook/xmod-base""": """https://huggingface.co/facebook/xmod-base/resolve/main/config.json""",
    """facebook/xmod-large-prenorm""": """https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json""",
    """facebook/xmod-base-13-125k""": """https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json""",
    """facebook/xmod-base-30-125k""": """https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json""",
    """facebook/xmod-base-30-195k""": """https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json""",
    """facebook/xmod-base-60-125k""": """https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json""",
    """facebook/xmod-base-60-265k""": """https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json""",
    """facebook/xmod-base-75-125k""": """https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json""",
    """facebook/xmod-base-75-269k""": """https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json""",
}


class      _lowercase (     lowerCAmelCase						):
      _a   :     Union[str, Any]								=   '''xmod'''


      def __init__(    self				:	Optional[int]							,   a				:	Dict=3_0_5_2_2							,   a				:	Any=7_6_8							,   a				:	str=1_2							,   a				:	Optional[int]=1_2							,   a				:	Any=3_0_7_2							,   a				:	int="gelu"							,   a				:	List[Any]=0.1							,   a				:	Union[str, Any]=0.1							,   a				:	Tuple=5_1_2							,   a				:	str=2							,   a				:	Any=0.0_2							,   a				:	Tuple=1e-12							,   a				:	Optional[int]=1							,   a				:	Any=0							,   a				:	str=2							,   a				:	str="absolute"							,   a				:	List[Any]=True							,   a				:	Optional[Any]=None							,   a				:	Tuple=False							,   a				:	Union[str, Any]=2							,   a				:	Any=False							,   a				:	Dict=True							,   a				:	int=True							,   a				:	str=("en_XX",)							,   a				:	Dict=None							,   **a				:	Tuple							,   ):





            """simple docstring"""







            super().__init__(pad_token_id=a							,   bos_token_id=a							,   eos_token_id=a							,   **a						)

            __snake_case      :    Union[str, Any]  			=vocab_size
            __snake_case      :    Union[str, Any]  			=hidden_size
            __snake_case      :    int  			=num_hidden_layers
            __snake_case      :    Union[str, Any]  			=num_attention_heads
            __snake_case      :    Any  			=hidden_act
            __snake_case      :    Tuple  			=intermediate_size
            __snake_case      :    int  			=hidden_dropout_prob
            __snake_case      :    str  			=attention_probs_dropout_prob
            __snake_case      :    int  			=max_position_embeddings
            __snake_case      :    Tuple  			=type_vocab_size
            __snake_case      :    Union[str, Any]  			=initializer_range
            __snake_case      :    Dict  			=layer_norm_eps
            __snake_case      :    Optional[int]  			=position_embedding_type
            __snake_case      :    int  			=use_cache
            __snake_case      :    int  			=classifier_dropout
            __snake_case      :    int  			=pre_norm
            __snake_case      :    Any  			=adapter_reduction_factor
            __snake_case      :    str  			=adapter_layer_norm
            __snake_case      :    Union[str, Any]  			=adapter_reuse_layer_norm
            __snake_case      :    List[str]  			=ln_before_adapter
            __snake_case      :    Optional[int]  			=list(a						)
            __snake_case      :    int  			=default_language



class      _lowercase (     lowerCAmelCase						):


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







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










"""simple docstring"""





from math import atan, cos, radians, sin, tan

from .haversine_distance import haversine_distance

UpperCamelCase_	:				Optional[Any]										= 6_37_81_37.0
UpperCamelCase_	:				Optional[Any]										= 6_35_67_52.31_42_45
UpperCamelCase_	:				Union[str, Any]										= 6378137



def     __lowercase					(    a :				float       ,		a :				float       ,		a :				float       ,		a :				float )					->					float:
      __snake_case      :    Optional[Any]  			=(AXIS_A - AXIS_B) / AXIS_A
      # Parametric latitudes
      # https://en.wikipedia.org/wiki/Latitude#Parametric_(or_reduced)_latitude
      __snake_case      :    List[str]  			=atan((1 - flattening) * tan(radians(a ) ) )
      __snake_case      :    Any  			=atan((1 - flattening) * tan(radians(a ) ) )

      # Compute central angle between two points
      # using haversine theta. sigma =  haversine_distance / equatorial radius
      __snake_case      :    Optional[Any]  			=haversine_distance(a       ,		a       ,		a       ,		a ) / EQUATORIAL_RADIUS

      # Intermediate P and Q values
      __snake_case      :    List[str]  			=(b_lata + b_lata) / 2
      __snake_case      :    Dict  			=(b_lata - b_lata) / 2

      # Intermediate X value
      # X = (sigma - sin(sigma)) * sin^2Pcos^2Q / cos^2(sigma/2)
      __snake_case      :    Optional[int]  			=(sin(a ) ** 2) * (cos(a ) ** 2)
      __snake_case      :    Any  			=cos(sigma / 2 ) ** 2
      __snake_case      :    Optional[Any]  			=(sigma - sin(a )) * (x_numerator / x_demonimator)

      # Intermediate Y value
      # Y = (sigma + sin(sigma)) * cos^2Psin^2Q / sin^2(sigma/2)
      __snake_case      :    Tuple  			=(cos(a ) ** 2) * (sin(a ) ** 2)
      __snake_case      :    Dict  			=sin(sigma / 2 ) ** 2
      __snake_case      :    Tuple  			=(sigma + sin(a )) * (y_numerator / y_denominator)

      return EQUATORIAL_RADIUS * (sigma - ((flattening / 2) * (x_value + y_value)))


if __name__ == "__main__":
    import doctest

    doctest.testmod()


