






from random import randint
from tempfile import TemporaryFile

import numpy as np





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )   -> List[Any]:
							lowerCamelCase__      :			List[Any] 						= 0
							if start < end:
														lowerCamelCase__      :			Optional[int] 						= randint(UpperCamelCase       ,    UpperCamelCase   )
														lowerCamelCase__      :			Optional[int] 						= a[end]
														lowerCamelCase__      :			Any 						= a[pivot]
														lowerCamelCase__      :			str 						= temp

														lowerCamelCase__      :			Tuple 						= _in_place_partition(UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )
														count += _in_place_quick_sort(UpperCamelCase       ,    UpperCamelCase       ,    p - 1   )
														count += _in_place_quick_sort(UpperCamelCase       ,    p + 1       ,    UpperCamelCase   )
							return count





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )   -> Tuple:
							lowerCamelCase__      :			Any 						= 0
							lowerCamelCase__      :			Union[str, Any] 						= randint(UpperCamelCase       ,    UpperCamelCase   )
							lowerCamelCase__      :			Tuple 						= a[end]
							lowerCamelCase__      :			Optional[Any] 						= a[pivot]
							lowerCamelCase__      :			int 						= temp
							lowerCamelCase__      :			Optional[int] 						= start - 1
							for index in range(UpperCamelCase       ,    UpperCamelCase   ):
														count += 1
														if a[index] < a[end]:  # check if current val is less than pivot value
																					lowerCamelCase__      :			Any 						= new_pivot_index + 1
																					lowerCamelCase__      :			List[Any] 						= a[new_pivot_index]
																					lowerCamelCase__      :			List[str] 						= a[index]
																					lowerCamelCase__      :			Optional[Any] 						= temp

							lowerCamelCase__      :			Tuple 						= a[new_pivot_index + 1]
							lowerCamelCase__      :			List[str] 						= a[end]
							lowerCamelCase__      :			List[Any] 						= temp
							return new_pivot_index + 1, count


_A			:    Dict					  =TemporaryFile()
_A			:    str					  =100  # 1000 elements are to be sorted


_A			:    Dict					  =0, 1  # mean and standard deviation
_A			:    Any					  =np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('''The array is''')
print(X)


outfile.seek(0)  # using the same array
_A			:    List[str]					  =np.load(outfile)
_A			:    Optional[int]					  =len(M) - 1
_A			:    int					  =_in_place_quick_sort(M, 0, r)

print(
    '''No of Comparisons for 100 elements selected from a standard normal distribution'''
    '''is :'''
)



print(z)









'''simple docstring'''







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


_A			:    Union[str, Any]					  =logging.get_logger(__name__)

_A			:    List[str]					  ={
    '''MIT/ast-finetuned-audioset-10-10-0.4593''': (
        '''https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593/resolve/main/config.json'''
    ),
}

class _lowercase			(       _lowercase	):
							a          = """audio-spectrogram-transformer"""




							def __init__(							self:       str    ,							UpperCamelCase__:       Any=768    ,							UpperCamelCase__:       Union[str, Any]=12    ,							UpperCamelCase__:       List[Any]=12    ,							UpperCamelCase__:       int=3_072    ,							UpperCamelCase__:       Optional[Any]="gelu"    ,							UpperCamelCase__:       Optional[int]=0.0    ,							UpperCamelCase__:       Tuple=0.0    ,							UpperCamelCase__:       Union[str, Any]=0.02    ,							UpperCamelCase__:       Dict=1e-12    ,							UpperCamelCase__:       List[str]=16    ,							UpperCamelCase__:       List[str]=True    ,							UpperCamelCase__:       Any=10    ,							UpperCamelCase__:       List[str]=10    ,							UpperCamelCase__:       Any=1_024    ,							UpperCamelCase__:       Optional[Any]=128    ,							**UpperCamelCase__:       Union[str, Any]    ,							):
														super().__init__(**UpperCamelCase__  )

														lowerCamelCase__      :			List[Any] 						= hidden_size
														lowerCamelCase__      :			int 						= num_hidden_layers
														lowerCamelCase__      :			List[str] 						= num_attention_heads
														lowerCamelCase__      :			Optional[int] 						= intermediate_size
														lowerCamelCase__      :			List[Any] 						= hidden_act
														lowerCamelCase__      :			List[Any] 						= hidden_dropout_prob
														lowerCamelCase__      :			str 						= attention_probs_dropout_prob
														lowerCamelCase__      :			Dict 						= initializer_range
														lowerCamelCase__      :			List[str] 						= layer_norm_eps
														lowerCamelCase__      :			List[Any] 						= patch_size
														lowerCamelCase__      :			List[str] 						= qkv_bias
														lowerCamelCase__      :			Dict 						= frequency_stride
														lowerCamelCase__      :			List[Any] 						= time_stride
														lowerCamelCase__      :			str 						= max_length
														lowerCamelCase__      :			Dict 						= num_mel_bins

