


from typing import Mapping

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


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

class  UpperCamelCase__ ( lowerCAmelCase__			):
						a__   :     Any								=						"""mt5"""
						a__   :     Optional[int]								=						["""past_key_values"""]






						def __init__(     self					:   Optional[int],		__lowerCamelCase					:   List[str]=25_01_12,		__lowerCamelCase					:   Dict=5_12,		__lowerCamelCase					:   List[str]=64,		__lowerCamelCase					:   Any=10_24,		__lowerCamelCase					:   Optional[int]=8,		__lowerCamelCase					:   Dict=None,		__lowerCamelCase					:   Dict=6,		__lowerCamelCase					:   Any=32,		__lowerCamelCase					:   Dict=1_28,		__lowerCamelCase					:   Tuple=0.1,		__lowerCamelCase					:   str=1e-6,		__lowerCamelCase					:   List[str]=1.0,		__lowerCamelCase					:   Optional[int]="gated-gelu",		__lowerCamelCase					:   Union[str, Any]=True,		__lowerCamelCase					:   List[Any]=True,		__lowerCamelCase					:   str="T5Tokenizer",		__lowerCamelCase					:   str=False,		__lowerCamelCase					:   List[str]=0,		__lowerCamelCase					:   Optional[int]=1,		__lowerCamelCase					:   List[str]=0,		**__lowerCamelCase					:   List[str],		)  -> Optional[int]:
											super().__init__(
											    is_encoder_decoder=lowerCAmelCase_,		tokenizer_class=lowerCAmelCase_,		tie_word_embeddings=lowerCAmelCase_,		pad_token_id=lowerCAmelCase_,		eos_token_id=lowerCAmelCase_,		decoder_start_token_id=lowerCAmelCase_,		**lowerCAmelCase_,		)
											UpperCamelCase__							:  Optional[int]								=     vocab_size
											UpperCamelCase__							:  str								=     d_model
											UpperCamelCase__							:  Dict								=     d_kv
											UpperCamelCase__							:  str								=     d_ff
											UpperCamelCase__							:  int								=     num_layers
											UpperCamelCase__							:  Tuple								=     (
											    num_decoder_layers if num_decoder_layers is not None else self.num_layers
											)  # default = symmetry
											UpperCamelCase__							:  Dict								=     num_heads
											UpperCamelCase__							:  Union[str, Any]								=     relative_attention_num_buckets
											UpperCamelCase__							:  List[str]								=     relative_attention_max_distance
											UpperCamelCase__							:  List[Any]								=     dropout_rate
											UpperCamelCase__							:  Dict								=     layer_norm_epsilon
											UpperCamelCase__							:  Optional[Any]								=     initializer_factor
											UpperCamelCase__							:  int								=     feed_forward_proj
											UpperCamelCase__							:  Tuple								=     use_cache

											UpperCamelCase__							:  int								=     self.feed_forward_proj.split('''-'''   )
											UpperCamelCase__							:  int								=     act_info[-1]
											UpperCamelCase__							:  List[str]								=     act_info[0] == '''gated'''

											if len(lowerCAmelCase_   ) > 1 and act_info[0] != "gated" or len(lowerCAmelCase_   ) > 2:
																raise ValueError(
																    f'`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'
																    '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
																    '''\'gated-gelu\' or \'relu\''''   )

											# for backwards compatibility
											if feed_forward_proj == "gated-gelu":
																UpperCamelCase__							:  Any								=     '''gelu_new'''






						@property
						def 	__lowercase(     self					:   List[str]   )  -> List[Any]:
											return self.d_model






						@property
						def 	__lowercase(     self					:   Union[str, Any]   )  -> Tuple:
											return self.num_heads






						@property
						def 	__lowercase(     self					:   str   )  -> str:
											return self.num_layers

class  UpperCamelCase__ ( lowerCAmelCase__			):






						@property
						# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
						def 	__lowercase(     self					:   str   )  -> Mapping[str, Mapping[int, str]]:
											UpperCamelCase__							:  List[Any]								=     {
											    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
											    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
											}
											if self.use_past:
																UpperCamelCase__							:  str								=     '''past_encoder_sequence + sequence'''
																UpperCamelCase__							:  str								=     {0: '''batch'''}
																UpperCamelCase__							:  Any								=     {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
											else:
																UpperCamelCase__							:  List[str]								=     {0: '''batch''', 1: '''decoder_sequence'''}
																UpperCamelCase__							:  List[Any]								=     {0: '''batch''', 1: '''decoder_sequence'''}

											if self.use_past:
																self.fill_with_past_key_values_(lowerCAmelCase_,		direction='''inputs'''   )

											return common_inputs






						@property
						# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
						def 	__lowercase(     self					:   Optional[int]   )  -> int:
											return 13






						@property
						def 	__lowercase(     self					:   int   )  -> float:
											return 5e-4








from __future__ import annotations

from math import pi, pow







def 						_lowercase       (     __lowerCamelCase			:					int | float			)  ->   float:





     '''simple docstring'''





     if side_length < 0:
          raise ValueError('''vol_cube() only accepts non-negative values'''			)
     return pow(__lowerCamelCase		,3			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_spherical_cap() only accepts non-negative values'''			)
     # Volume is 1/3 pi * height squared * (3 * radius - height)
     return 1 / 3 * pi * pow(__lowerCamelCase		,2			) * (3 * radius - height)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a < 0 or radius_a < 0 or centers_distance < 0:
          raise ValueError('''vol_spheres_intersect() only accepts non-negative values'''			)
     if centers_distance == 0:
          return vol_sphere(min(__lowerCamelCase		,__lowerCamelCase			)			)

     UpperCamelCase__							:  Dict								=     (
         (radius_a - radius_a + centers_distance)
         * (radius_a + radius_a - centers_distance)
         / (2 * centers_distance)
     )
     UpperCamelCase__							:  Tuple								=     (
         (radius_a - radius_a + centers_distance)
         * (radius_a + radius_a - centers_distance)
         / (2 * centers_distance)
     )

     return vol_spherical_cap(__lowerCamelCase		,__lowerCamelCase			) + vol_spherical_cap(__lowerCamelCase		,__lowerCamelCase			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a <= 0 or radius_a <= 0 or centers_distance < 0:
          raise ValueError(
              '''vol_spheres_union() only accepts non-negative values, non-zero radius'''			)

     if centers_distance == 0:
          return vol_sphere(max(__lowerCamelCase		,__lowerCamelCase			)			)

     return (
         vol_sphere(__lowerCamelCase			)
         + vol_sphere(__lowerCamelCase			)
         - vol_spheres_intersect(__lowerCamelCase		,__lowerCamelCase		,__lowerCamelCase			)
     )







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if width < 0 or height < 0 or length < 0:
          raise ValueError('''vol_cuboid() only accepts non-negative values'''			)
     return float(width * height * length			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_cone() only accepts non-negative values'''			)
     return area_of_base * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_right_circ_cone() only accepts non-negative values'''			)
     return pi * pow(__lowerCamelCase		,2			) * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_prism() only accepts non-negative values'''			)
     return float(area_of_base * height			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_pyramid() only accepts non-negative values'''			)
     return area_of_base * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius < 0:
          raise ValueError('''vol_sphere() only accepts non-negative values'''			)
     # Volume is 4/3 * pi * radius cubed
     return 4 / 3 * pi * pow(__lowerCamelCase		,3			)







def 						_lowercase       (     __lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius < 0:
          raise ValueError('''vol_hemisphere() only accepts non-negative values'''			)
     # Volume is radius cubed * pi * 2/3
     return pow(__lowerCamelCase		,3			) * pi * 2 / 3







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_circular_cylinder() only accepts non-negative values'''			)
     # Volume is radius squared * height * pi
     return pow(__lowerCamelCase		,2			) * height * pi







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if inner_radius < 0 or outer_radius < 0 or height < 0:
          raise ValueError(
              '''vol_hollow_circular_cylinder() only accepts non-negative values'''			)
     if outer_radius <= inner_radius:
          raise ValueError('''outer_radius must be greater than inner_radius'''			)
     return pi * (pow(__lowerCamelCase		,2			) - pow(__lowerCamelCase		,2			)) * height







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a < 0 or radius_a < 0 or height < 0:
          raise ValueError('''vol_conical_frustum() only accepts non-negative values'''			)
     return (
         1
         / 3
         * pi
         * height
         * (pow(__lowerCamelCase		,2			) + pow(__lowerCamelCase		,2			) + radius_a * radius_a)
     )







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if torus_radius < 0 or tube_radius < 0:
          raise ValueError('''vol_torus() only accepts non-negative values'''			)
     return 2 * pow(__lowerCamelCase		,2			) * torus_radius * pow(__lowerCamelCase		,2			)







def 						_lowercase       (     )  ->   Tuple:





     '''simple docstring'''





     print('''Volumes:'''			)
     print(F'Cube: {vol_cube(2			) = }'			)  # = 8
     print(F'Cuboid: {vol_cuboid(2		,2		,2			) = }'			)  # = 8
     print(F'Cone: {vol_cone(2		,2			) = }'			)  # ~= 1.33
     print(F'Right Circular Cone: {vol_right_circ_cone(2		,2			) = }'			)  # ~= 8.38
     print(F'Prism: {vol_prism(2		,2			) = }'			)  # = 4
     print(F'Pyramid: {vol_pyramid(2		,2			) = }'			)  # ~= 1.33
     print(F'Sphere: {vol_sphere(2			) = }'			)  # ~= 33.5
     print(F'Hemisphere: {vol_hemisphere(2			) = }'			)  # ~= 16.75
     print(F'Circular Cylinder: {vol_circular_cylinder(2		,2			) = }'			)  # ~= 25.1
     print(F'Torus: {vol_torus(2		,2			) = }'			)  # ~= 157.9
     print(F'Conical Frustum: {vol_conical_frustum(2		,2		,4			) = }'			)  # ~= 58.6
     print(F'Spherical cap: {vol_spherical_cap(1		,2			) = }'			)  # ~= 5.24
     print(F'Spheres intersetion: {vol_spheres_intersect(2		,2		,1			) = }'			)  # ~= 21.21
     print(F'Spheres union: {vol_spheres_union(2		,2		,1			) = }'			)  # ~= 45.81
     print(
         F'Hollow Circular Cylinder: {vol_hollow_circular_cylinder(1		,2		,3			) = }'			)  # ~= 28.3


if __name__ == "__main__":
   main()




