


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


__lowerCAmelCase			=							logging.get_logger(__name__)

__lowerCAmelCase			=							{
    '''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   __a      (   SCREAMING_SNAKE_CASE_				):
 __lowercase			:							Optional[Any]       					=			'canine'
 def __init__(       self    ,			lowerCAmelCase__=768    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=3_072    ,			lowerCAmelCase__="gelu"    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=16_384    ,			lowerCAmelCase__=16    ,			lowerCAmelCase__=0.0_2    ,			lowerCAmelCase__=1E-12    ,			lowerCAmelCase__=0    ,			lowerCAmelCase__=0xe000    ,			lowerCAmelCase__=0xe001    ,			lowerCAmelCase__=4    ,			lowerCAmelCase__=4    ,			lowerCAmelCase__=8    ,			lowerCAmelCase__=16_384    ,			lowerCAmelCase__=128    ,			**lowerCAmelCase__    ,			) ->    List[Any]:




        '''simple docstring'''
        super().__init__(pad_token_id=__a    ,			bos_token_id=__a    ,			eos_token_id=__a    ,			**__a			)

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

        # Character config:
        lowercase__:       Optional[int]        =       downsampling_rate
        lowercase__:       List[str]        =       upsampling_kernel_size
        lowercase__:       List[Any]        =       num_hash_functions
        lowercase__:       List[Any]        =       num_hash_buckets
        lowercase__:       Any        =       local_transformer_stride






from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case = False					)  ->    list[float]:
       if radian_mode:
              return [magnitude * cos(snake_case					), magnitude * sin(snake_case					)]
       return [magnitude * cos(radians(snake_case					)					), magnitude * sin(radians(snake_case					)					)]




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case = 10**-1					)  ->    bool:
       lowercase__:       NDArray[floataa]        =       cross(snake_case      ,							snake_case					)
       lowercase__:       float        =       sum(snake_case					)
       return abs(snake_case					) < eps


if __name__ == "__main__":
 # Test to check if it works
 __lowerCAmelCase			=							array(
     [
         polar_force(718.4, 1_80 - 30),
         polar_force(879.54, 45),
         polar_force(1_00, -90),
     ]
 )

 __lowerCAmelCase			=							array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem 1 in image_data/2D_problems.jpg
 __lowerCAmelCase			=							array(
     [
         polar_force(30 * 9.81, 15),
         polar_force(2_15, 1_80 - 45),
         polar_force(2_64, 90 - 30),
     ]
 )

 __lowerCAmelCase			=							array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem in image_data/2D_problems_1.jpg
 __lowerCAmelCase			=							array([[0, -20_00], [0, -12_00], [0, 1_56_00], [0, -1_24_00]])

 __lowerCAmelCase			=							array([[0, 0], [6, 0], [10, 0], [12, 0]])

 assert in_static_equilibrium(forces, location)

 import doctest

 doctest.testmod()


