





from __future__ import annotations

import math

__UpperCAmelCase       :   Any				       =							"""2020.9.26"""
__UpperCAmelCase       :   Optional[Any]				       =							"""xcodz-dot, cclaus, dhruvmanila"""







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    Tuple:



  if not all(isinstance(SCREAMING_SNAKE_CASE__					,					(float, int)) for val in locals().values()):
    __snake_case:						Optional[Any]   =						F'''Input values must either be float or int: {list(locals().values())}'''
    raise TypeError(SCREAMING_SNAKE_CASE__)
  __snake_case:						List[str]   =						((x * distance) / (z + distance)) * scale
  __snake_case:						Dict   =						((y * distance) / (z + distance)) * scale
  return projected_x, projected_y







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    str:



  if not isinstance(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__):
    raise TypeError("""Axis must be a str""")
  __snake_case:						Optional[int]   =						locals()
  del input_variables["axis"]
  if not all(isinstance(SCREAMING_SNAKE_CASE__					,					(float, int)) for val in input_variables.values()):
    __snake_case:						List[Any]   =						(
        "Input values except axis must either be float or int: "
        F'''{list(input_variables.values())}'''
    )
    raise TypeError(SCREAMING_SNAKE_CASE__)
  __snake_case:						List[Any]   =						(angle % 360) / 450 * 180 / math.pi
  if axis == "z":
    __snake_case:						Tuple   =						x * math.cos(SCREAMING_SNAKE_CASE__) - y * math.sin(SCREAMING_SNAKE_CASE__)
    __snake_case:						int   =						y * math.cos(SCREAMING_SNAKE_CASE__) + x * math.sin(SCREAMING_SNAKE_CASE__)
    __snake_case:						Optional[Any]   =						z
  elif axis == "x":
    __snake_case:						str   =						y * math.cos(SCREAMING_SNAKE_CASE__) - z * math.sin(SCREAMING_SNAKE_CASE__)
    __snake_case:						Union[str, Any]   =						z * math.cos(SCREAMING_SNAKE_CASE__) + y * math.sin(SCREAMING_SNAKE_CASE__)
    __snake_case:						str   =						x
  elif axis == "y":
    __snake_case:						List[str]   =						x * math.cos(SCREAMING_SNAKE_CASE__) - z * math.sin(SCREAMING_SNAKE_CASE__)
    __snake_case:						Any   =						z * math.cos(SCREAMING_SNAKE_CASE__) + x * math.sin(SCREAMING_SNAKE_CASE__)
    __snake_case:						Optional[Any]   =						y
  else:
    raise ValueError("""not a valid axis, choose one of 'x', 'y', 'z'""")

  return new_x, new_y, new_z


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      print(f'{convert_to_ad(1.0, 2.0, 3.0, 10.0, 10.0) = }')
      print(f'{rotate(1.0, 2.0, 3.0, "y", 90.0) = }')













from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase	:	Optional[Any]		     =       logging.get_logger(__name__)

UpperCAmelCase	:	Optional[int]		     =       {
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					List[Any]						=			"""canine"""







      def __init__(    self		,      lowerCAmelCase__=7_6_8		,      lowerCAmelCase__=1_2		,      lowerCAmelCase__=1_2		,      lowerCAmelCase__=3_0_7_2		,      lowerCAmelCase__="gelu"		,      lowerCAmelCase__=0.1		,      lowerCAmelCase__=0.1		,      lowerCAmelCase__=1_6_3_8_4		,      lowerCAmelCase__=1_6		,      lowerCAmelCase__=0.02		,      lowerCAmelCase__=1E-12		,      lowerCAmelCase__=0		,      lowerCAmelCase__=0XE0_00		,      lowerCAmelCase__=0XE0_01		,      lowerCAmelCase__=4		,      lowerCAmelCase__=4		,      lowerCAmelCase__=8		,      lowerCAmelCase__=1_6_3_8_4		,      lowerCAmelCase__=1_2_8		,      **lowerCAmelCase__		,      )   ->						Dict:



        '''simple docstring'''




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

        a__	:					Optional[int]										=max_position_embeddings
        a__	:					str										=hidden_size
        a__	:					Optional[Any]										=num_hidden_layers
        a__	:					Tuple										=num_attention_heads
        a__	:					Optional[Any]										=intermediate_size
        a__	:					Optional[int]										=hidden_act
        a__	:					List[Any]										=hidden_dropout_prob
        a__	:					Union[str, Any]										=attention_probs_dropout_prob
        a__	:					Optional[Any]										=initializer_range
        a__	:					Union[str, Any]										=type_vocab_size
        a__	:					Optional[int]										=layer_norm_eps

        # Character config:
        a__	:					int										=downsampling_rate
        a__	:					Optional[Any]										=upsampling_kernel_size
        a__	:					Union[str, Any]										=num_hash_functions
        a__	:					Any										=num_hash_buckets
        a__	:					int										=local_transformer_stride






