
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


a_           =    logging.get_logger(__name__)

a_           =    {
    "mnaylor/mega-base-wikitext": "https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json",
}






class  UpperCAmelCase_					(						snake_case__       ):
 UpperCAmelCase_		     =    """mega"""





 def __init__(     self			,							lowercase_=3_05_22			,							lowercase_=1_28			,							lowercase_=4			,							lowercase_=2_56			,							lowercase_=16			,							lowercase_=True			,							lowercase_=64			,							lowercase_=False			,							lowercase_=-1			,							lowercase_=None			,							lowercase_=True			,							lowercase_="scalenorm"			,							lowercase_=True			,							lowercase_="silu"			,							lowercase_="softmax"			,							lowercase_=0.1			,							lowercase_=0.1			,							lowercase_=0.1			,							lowercase_=False			,							lowercase_=True			,							lowercase_=2_56			,							lowercase_=True			,							lowercase_=0.1			,							lowercase_=20_48			,							lowercase_=False			,							lowercase_=2			,							lowercase_=0.02			,							lowercase_=0.2			,							lowercase_=0.02			,							lowercase_=1.0			,							lowercase_=1			,							lowercase_=0			,							lowercase_=2			,							lowercase_="rotary"			,							lowercase_=None			,							lowercase_=True			,							lowercase_=True			,							**lowercase_			,							):
     super().__init__(pad_token_id=lowercase_			,							bos_token_id=lowercase_			,							eos_token_id=lowercase_			,							**lowercase_)

     snake_case_			:     Optional[int]        =    vocab_size
     snake_case_			:     int        =    hidden_size
     snake_case_			:     Optional[Any]        =    num_hidden_layers
     snake_case_			:     List[Any]        =    activation
     snake_case_			:     List[str]        =    attention_activation
     snake_case_			:     Optional[int]        =    intermediate_size
     snake_case_			:     Optional[Any]        =    ema_projection_size
     snake_case_			:     Optional[Any]        =    bidirectional
     snake_case_			:     Dict        =    shared_representation_size
     snake_case_			:     str        =    use_chunking
     snake_case_			:     Union[str, Any]        =    chunk_size
     snake_case_			:     Optional[int]        =    truncation
     snake_case_			:     int        =    normalize_before_mega
     snake_case_			:     Optional[Any]        =    normalization_type
     snake_case_			:     Dict        =    norm_affine
     snake_case_			:     Optional[Any]        =    dropout_prob
     snake_case_			:     str        =    hidden_dropout_prob
     snake_case_			:     Union[str, Any]        =    attention_probs_dropout_prob
     snake_case_			:     Tuple        =    use_feature_dropout
     snake_case_			:     Optional[int]        =    use_normalized_ffn
     snake_case_			:     int        =    nffn_hidden_size
     snake_case_			:     Any        =    normalize_before_ffn
     snake_case_			:     int        =    nffn_activation_dropout_prob
     snake_case_			:     List[Any]        =    max_positions
     snake_case_			:     int        =    add_token_type_embeddings
     snake_case_			:     List[Any]        =    type_vocab_size
     snake_case_			:     str        =    initializer_range
     snake_case_			:     Dict        =    ema_delta_alpha_range
     snake_case_			:     str        =    ema_beta_range
     snake_case_			:     List[Any]        =    ema_gamma_omega_range
     snake_case_			:     str        =    relative_positional_bias
     snake_case_			:     List[Any]        =    use_cache
     snake_case_			:     Union[str, Any]        =    classifier_dropout
     snake_case_			:     Dict        =    add_lm_hidden_dense_layer
     snake_case_			:     Optional[Any]        =    1  # not used but required by Hugging Face






class  UpperCAmelCase_					(						snake_case__       ):





 @property
 def 							snake_case__		(     self):
     if self.task == "multiple-choice":
         snake_case_			:     int        =    {0: "batch", 1: "choice", 2: "sequence"}
     else:
         snake_case_			:     str        =    {0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
         ])






'''simple docstring'''
def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    if right <= left:
        return
    snake_case_			:     Dict        =    left
    snake_case_			:     Tuple        =    right
    snake_case_			:     List[str]        =    sorting[left]
    while i <= b:
        if sorting[i] < pivot:
            snake_case_      ,			snake_case_			:     Union[str, Any]        =    sorting[i], sorting[a]
            a += 1
            i += 1
        elif sorting[i] > pivot:
            snake_case_      ,			snake_case_			:     List[str]        =    sorting[i], sorting[b]
            b -= 1
        else:
            i += 1
    quick_sort_apartition(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		a - 1							)
    quick_sort_apartition(__SCREAMING_SNAKE_CASE,		b + 1,		__SCREAMING_SNAKE_CASE							)

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    if left < right:
        snake_case_			:     Dict        =    lomuto_partition(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							)
        quick_sort_lomuto_partition(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		pivot_index - 1							)
        quick_sort_lomuto_partition(__SCREAMING_SNAKE_CASE,		pivot_index + 1,		__SCREAMING_SNAKE_CASE							)

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    snake_case_			:     List[Any]        =    sorting[right]
    snake_case_			:     Optional[int]        =    left
    for i in range(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							):
        if sorting[i] < pivot:
            snake_case_      ,			snake_case_			:     Dict        =    sorting[i], sorting[store_index]
            store_index += 1
    snake_case_      ,			snake_case_			:     Optional[Any]        =    sorting[store_index], sorting[right]
    return store_index

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    if len(__SCREAMING_SNAKE_CASE							) <= 1:
        return sorting
    return (
        three_way_radix_quicksort([i for i in sorting if i < sorting[0]]							)
        + [i for i in sorting if i == sorting[0]]
        + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]							)
    )


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)

  a_           =    input("Enter numbers separated by a comma:\n").strip()
  a_           =    [int(item) for item in user_input.split(",")]
  quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
  print(unsorted)




