





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


UpperCAmelCase_							=				logging.get_logger(__name__)

UpperCAmelCase_							=				{
    """facebook/s2t-wav2vec2-large-en-de""": (
        """https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/config.json"""
    ),
    # See all Speech2Text models at https://huggingface.co/models?filter=speech2text2
}
class     UpperCamelCase__					(     SCREAMING_SNAKE_CASE_				):






		'''simple docstring'''






		__a       :       Any       =	"speech_to_text_2"
		__a       :       str       =	["past_key_values"]
		__a       :       Any       =	{"num_attention_heads": "decoder_attention_heads", "hidden_size": "d_model"}






		def __init__(							self,   snake_case__=1_00_00,   snake_case__=6,   snake_case__=20_48,   snake_case__=4,   snake_case__=0.0,   snake_case__=True,   snake_case__="relu",   snake_case__=2_56,   snake_case__=0.1,   snake_case__=0.0,   snake_case__=0.0,   snake_case__=0.02,   snake_case__=2,   snake_case__=True,   snake_case__=1,   snake_case__=0,   snake_case__=2,   snake_case__=10_24,   **snake_case__,   )       -> List[Any]:






									"""simple docstring"""
									lowercase_	:   List[Any]  				=     vocab_size
									lowercase_	:   Optional[Any]  				=     d_model
									lowercase_	:   Tuple  				=     decoder_ffn_dim
									lowercase_	:   Tuple  				=     decoder_layers
									lowercase_	:   str  				=     decoder_attention_heads
									lowercase_	:   str  				=     dropout
									lowercase_	:   Dict  				=     attention_dropout
									lowercase_	:   Optional[Any]  				=     activation_dropout
									lowercase_	:   Optional[Any]  				=     activation_function
									lowercase_	:   Any  				=     init_std
									lowercase_	:   Union[str, Any]  				=     decoder_layerdrop
									lowercase_	:   int  				=     use_cache
									lowercase_	:   Optional[Any]  				=     decoder_layers
									lowercase_	:   Union[str, Any]  				=     scale_embedding  # scale factor will be sqrt(d_model) if True
									lowercase_	:   Tuple  				=     max_target_positions

									super().__init__(
									    pad_token_id=lowercase_,   bos_token_id=lowercase_,   eos_token_id=lowercase_,   decoder_start_token_id=lowercase_,   **lowercase_,   )

"""simple docstring"""

from __future__ import annotations

SCREAMING_SNAKE_CASE_            =    [-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
SCREAMING_SNAKE_CASE_            =    [-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]




def      lowercase__    (       lowerCAmelCase					:       list[float]			)			->   list[float]:






    """simple docstring"""




    UpperCAmelCase          =       []
    UpperCAmelCase          =       len(lowerCAmelCase			)

    for i in range(lowerCAmelCase			):
        UpperCAmelCase          =       -1
        for j in range(i + 1			,					lowerCAmelCase			):
            if arr[i] < arr[j]:
                UpperCAmelCase          =       arr[j]
                break
        result.append(lowerCAmelCase			)
    return result




def      lowercase__    (       lowerCAmelCase					:       list[float]			)			->   list[float]:






    """simple docstring"""




    UpperCAmelCase          =       []
    for i, outer in enumerate(lowerCAmelCase			):
        UpperCAmelCase          =       -1
        for inner in arr[i + 1 :]:
            if outer < inner:
                UpperCAmelCase          =       inner
                break
        result.append(lowerCAmelCase			)
    return result




def      lowercase__    (       lowerCAmelCase					:       list[float]			)			->   list[float]:






    """simple docstring"""




    UpperCAmelCase          =       len(lowerCAmelCase			)
    UpperCAmelCase          =       []
    UpperCAmelCase          =       [-1] * arr_size

    for index in reversed(range(lowerCAmelCase			)			):
        if stack:
            while stack[-1] <= arr[index]:
                stack.pop()
                if not stack:
                    break
        if stack:
            UpperCAmelCase          =       stack[-1]
        stack.append(arr[index]			)
    return result


if __name__ == "__main__":
   from doctest import testmod
   from timeit import timeit

   testmod()
   print(next_greatest_element_slow(arr))
   print(next_greatest_element_fast(arr))
   print(next_greatest_element(arr))

   SCREAMING_SNAKE_CASE_            =    (
       '''from __main__ import arr, next_greatest_element_slow, '''
       '''next_greatest_element_fast, next_greatest_element'''
   )
   print(
       '''next_greatest_element_slow():''',
       timeit('''next_greatest_element_slow(arr)''', setup=setup),
   )
   print(
       '''next_greatest_element_fast():''',
       timeit('''next_greatest_element_fast(arr)''', setup=setup),
   )
   print(
       '''     next_greatest_element():''',
       timeit('''next_greatest_element(arr)''', setup=setup),
   )



