
from math import pi, sqrt, tan



def 						lowercase_      (       A__		)							->							Tuple:
    """simple docstring"""

    if side_length < 0:
        raise ValueError("surface_area_cube() only accepts non-negative values"		)
    return 6 * side_length**2



def 						lowercase_      (       A__			,		A__			,		A__		)							->							Tuple:
    """simple docstring"""

    if length < 0 or breadth < 0 or height < 0:
        raise ValueError("surface_area_cuboid() only accepts non-negative values"		)
    return 2 * ((length * breadth) + (breadth * height) + (length * height))



def 						lowercase_      (       A__		)							->							List[Any]:
    """simple docstring"""

    if radius < 0:
        raise ValueError("surface_area_sphere() only accepts non-negative values"		)
    return 4 * pi * radius**2



def 						lowercase_      (       A__		)							->							Optional[Any]:
    """simple docstring"""

    if radius < 0:
        raise ValueError("surface_area_hemisphere() only accepts non-negative values"		)
    return 3 * pi * radius**2



def 						lowercase_      (       A__			,		A__		)							->							Tuple:
    """simple docstring"""

    if radius < 0 or height < 0:
        raise ValueError("surface_area_cone() only accepts non-negative values"		)
    return pi * radius * (radius + (height**2 + radius**2) ** 0.5)



def 						lowercase_      (       A__			,		A__			,		A__		)							->							str:
    """simple docstring"""

    if radius_a < 0 or radius_a < 0 or height < 0:
        raise ValueError(
            "surface_area_conical_frustum() only accepts non-negative values"		)
    snake_case								= (height**2 + (radius_a - radius_a) ** 2) ** 0.5
    return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)



def 						lowercase_      (       A__			,		A__		)							->							Tuple:
    """simple docstring"""

    if radius < 0 or height < 0:
        raise ValueError("surface_area_cylinder() only accepts non-negative values"		)
    return 2 * pi * radius * (height + radius)



def 						lowercase_      (       A__			,		A__		)							->							Any:
    """simple docstring"""

    if torus_radius < 0 or tube_radius < 0:
        raise ValueError("surface_area_torus() only accepts non-negative values"		)
    if torus_radius < tube_radius:
        raise ValueError(
            "surface_area_torus() does not support spindle or self intersecting tori"		)
    return 4 * pow(__lowerCAmelCase			,		2		) * torus_radius * tube_radius



def 						lowercase_      (       A__			,		A__		)							->							Tuple:
    """simple docstring"""

    if length < 0 or width < 0:
        raise ValueError("area_rectangle() only accepts non-negative values"		)
    return length * width



def 						lowercase_      (       A__		)							->							Tuple:
    """simple docstring"""

    if side_length < 0:
        raise ValueError("area_square() only accepts non-negative values"		)
    return side_length**2



def 						lowercase_      (       A__			,		A__		)							->							Optional[int]:
    """simple docstring"""

    if base < 0 or height < 0:
        raise ValueError("area_triangle() only accepts non-negative values"		)
    return (base * height) / 2



def 						lowercase_      (       A__			,		A__			,		A__		)							->							Optional[int]:
    """simple docstring"""

    if sidea < 0 or sidea < 0 or sidea < 0:
        raise ValueError("area_triangle_three_sides() only accepts non-negative values"		)
    elif sidea + sidea < sidea or sidea + sidea < sidea or sidea + sidea < sidea:
        raise ValueError("Given three sides do not form a triangle"		)
    snake_case								= (sidea + sidea + sidea) / 2
    snake_case								= sqrt(
        semi_perimeter
        * (semi_perimeter - sidea)
        * (semi_perimeter - sidea)
        * (semi_perimeter - sidea)		)
    return area



def 						lowercase_      (       A__			,		A__		)							->							Tuple:
    """simple docstring"""

    if base < 0 or height < 0:
        raise ValueError("area_parallelogram() only accepts non-negative values"		)
    return base * height



def 						lowercase_      (       A__			,		A__			,		A__		)							->							Union[str, Any]:
    """simple docstring"""

    if basea < 0 or basea < 0 or height < 0:
        raise ValueError("area_trapezium() only accepts non-negative values"		)
    return 1 / 2 * (basea + basea) * height



def 						lowercase_      (       A__		)							->							int:
    """simple docstring"""

    if radius < 0:
        raise ValueError("area_circle() only accepts non-negative values"		)
    return pi * radius**2



def 						lowercase_      (       A__			,		A__		)							->							Dict:
    """simple docstring"""

    if radius_x < 0 or radius_y < 0:
        raise ValueError("area_ellipse() only accepts non-negative values"		)
    return pi * radius_x * radius_y



def 						lowercase_      (       A__			,		A__		)							->							Union[str, Any]:
    """simple docstring"""

    if diagonal_a < 0 or diagonal_a < 0:
        raise ValueError("area_rhombus() only accepts non-negative values"		)
    return 1 / 2 * diagonal_a * diagonal_a



def 						lowercase_      (       A__			,		A__		)							->							Tuple:
    """simple docstring"""

    if not isinstance(__lowerCAmelCase			,		__lowerCAmelCase		) or sides < 3:
        raise ValueError(
            "area_reg_polygon() only accepts integers greater than or \
equal to three as number of sides"		)
    elif length < 0:
        raise ValueError(
            "area_reg_polygon() only accepts non-negative values as \
length of a side"		)
    return (sides * length**2) / (4 * tan(pi / sides		))
    return (sides * length**2) / (4 * tan(pi / sides		))


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)  # verbose so we can see methods missing tests

   print("[DEMO] Areas of various geometric shapes: \n")
   print(f"Rectangle: {area_rectangle(10, 20) = }")
   print(f"Square: {area_square(10) = }")
   print(f"Triangle: {area_triangle(10, 10) = }")
   print(f"Triangle: {area_triangle_three_sides(5, 12, 13) = }")
   print(f"Parallelogram: {area_parallelogram(10, 20) = }")
   print(f"Rhombus: {area_rhombus(10, 20) = }")
   print(f"Trapezium: {area_trapezium(10, 20, 30) = }")
   print(f"Circle: {area_circle(20) = }")
   print(f"Ellipse: {area_ellipse(10, 20) = }")
   print("\nSurface Areas of various geometric shapes: \n")
   print(f"Cube: {surface_area_cube(20) = }")
   print(f"Cuboid: {surface_area_cuboid(10, 20, 30) = }")
   print(f"Sphere: {surface_area_sphere(20) = }")
   print(f"Hemisphere: {surface_area_hemisphere(20) = }")
   print(f"Cone: {surface_area_cone(10, 20) = }")
   print(f"Conical Frustum: {surface_area_conical_frustum(10, 20, 30) = }")
   print(f"Cylinder: {surface_area_cylinder(10, 20) = }")
   print(f"Torus: {surface_area_torus(20, 10) = }")
   print(f"Equilateral Triangle: {area_reg_polygon(3, 10) = }")
   print(f"Square: {area_reg_polygon(4, 10) = }")
   print(f"Reqular Pentagon: {area_reg_polygon(5, 10) = }")



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


_A   =			logging.get_logger(__name__)

_A   =			{
    "google/realm-cc-news-pretrained-embedder": (
        "https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json"
    ),
    "google/realm-cc-news-pretrained-encoder": (
        "https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json"
    ),
    "google/realm-cc-news-pretrained-scorer": (
        "https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json"
    ),
    "google/realm-cc-news-pretrained-openqa": (
        "https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json"
    ),
    "google/realm-orqa-nq-openqa": "https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json",
    "google/realm-orqa-nq-reader": "https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json",
    "google/realm-orqa-wq-openqa": "https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json",
    "google/realm-orqa-wq-reader": "https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json",
    # See all REALM models at https://huggingface.co/models?filter=realm
}







class 					lowerCamelCase		(  A_  ):
     UpperCAmelCase__    :							str									=		"realm"





     def __init__(self				:   Optional[int]    ,   _A				:   Optional[Any]=3_0_5_2_2    ,   _A				:   Tuple=7_6_8    ,   _A				:   List[str]=1_2_8    ,   _A				:   Optional[Any]=1_2    ,   _A				:   Dict=1_2    ,   _A				:   Tuple=8    ,   _A				:   Dict=3_0_7_2    ,   _A				:   Union[str, Any]="gelu_new"    ,   _A				:   Any=0.1    ,   _A				:   int=0.1    ,   _A				:   Union[str, Any]=5_1_2    ,   _A				:   List[str]=2    ,   _A				:   Any=0.02    ,   _A				:   int=1E-12    ,   _A				:   Tuple=2_5_6    ,   _A				:   Optional[Any]=1_0    ,   _A				:   Any=1E-3    ,   _A				:   int=5    ,   _A				:   int=3_2_0    ,   _A				:   Dict=1_3_3_5_3_7_1_8    ,   _A				:   Any=5_0_0_0    ,   _A				:   Union[str, Any]=1    ,   _A				:   Dict=0    ,   _A				:   int=2    ,   **_A				:   Union[str, Any]    ,   )						->						Optional[Any]:
         super().__init__(pad_token_id=_A    ,   bos_token_id=_A    ,   eos_token_id=_A    ,   **_A       )

         # Common config
         snake_case								= vocab_size
         snake_case								= max_position_embeddings
         snake_case								= hidden_size
         snake_case								= retriever_proj_size
         snake_case								= num_hidden_layers
         snake_case								= num_attention_heads
         snake_case								= num_candidates
         snake_case								= intermediate_size
         snake_case								= hidden_act
         snake_case								= hidden_dropout_prob
         snake_case								= attention_probs_dropout_prob
         snake_case								= initializer_range
         snake_case								= type_vocab_size
         snake_case								= layer_norm_eps

         # Reader config
         snake_case								= span_hidden_size
         snake_case								= max_span_width
         snake_case								= reader_layer_norm_eps
         snake_case								= reader_beam_size
         snake_case								= reader_seq_len

         # Retrieval config
         snake_case								= num_block_records
         snake_case								= searcher_beam_size

