





import math







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__ = 0					,					SCREAMING_SNAKE_CASE__ = 0)   ->    Optional[int]:
  __snake_case:						Union[str, Any]   =						end or len(SCREAMING_SNAKE_CASE__)
  for i in range(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__):
    __snake_case:						Dict   =						i
    __snake_case:						Optional[int]   =						array[i]
    while temp_index != start and temp_index_value < array[temp_index - 1]:
      __snake_case:						Tuple   =						array[temp_index - 1]
      temp_index -= 1
    __snake_case:						Any   =						temp_index_value
  return array







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    Dict:  # Max Heap
  __snake_case:						Optional[int]   =						index
  __snake_case:						Any   =						2 * index + 1  # Left Node
  __snake_case:						Tuple   =						2 * index + 2  # Right Node

  if left_index < heap_size and array[largest] < array[left_index]:
    __snake_case:						int   =						left_index

  if right_index < heap_size and array[largest] < array[right_index]:
    __snake_case:						int   =						right_index

  if largest != index:
    __snake_case:						str   =						array[largest], array[index]
    heapify(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Optional[Any]:
  __snake_case:						Any   =						len(SCREAMING_SNAKE_CASE__)

  for i in range(n // 2					,					-1					,					-1):
    heapify(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)

  for i in range(n - 1					,					0					,					-1):
    __snake_case:						Optional[Any]   =						array[0], array[i]
    heapify(SCREAMING_SNAKE_CASE__					,					0					,					SCREAMING_SNAKE_CASE__)

  return array







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    List[Any]:



  if (array[first_index] > array[middle_index]) != (
      array[first_index] > array[last_index]
  ):
    return array[first_index]
  elif (array[middle_index] > array[first_index]) != (
      array[middle_index] > array[last_index]
  ):
    return array[middle_index]
  else:
    return array[last_index]







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    List[str]:
  __snake_case:						str   =						low
  __snake_case:						List[Any]   =						high
  while True:
    while array[i] < pivot:
      i += 1
    j -= 1
    while pivot < array[j]:
      j -= 1
    if i >= j:
      return i
    __snake_case:						Tuple   =						array[j], array[i]
    i += 1







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Dict:



  if len(SCREAMING_SNAKE_CASE__) == 0:
    return array
  __snake_case:						str   =						2 * math.ceil(math.loga(len(SCREAMING_SNAKE_CASE__)))
  __snake_case:						str   =						16
  return intro_sort(SCREAMING_SNAKE_CASE__					,					0					,					len(SCREAMING_SNAKE_CASE__)					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    Any:



  while end - start > size_threshold:
    if max_depth == 0:
      return heap_sort(SCREAMING_SNAKE_CASE__)
    max_depth -= 1
    __snake_case:						Dict   =						median_of_a(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					start + ((end - start) // 2) + 1					,					end - 1)
    __snake_case:						Any   =						partition(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
    intro_sort(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)
    __snake_case:						Tuple   =						p
  return insertion_sort(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      __UpperCAmelCase       :   Optional[Any]				       =							input("Enter numbers separated by a comma : ").strip()
      __UpperCAmelCase       :   Dict				       =							[float(item) for item in user_input.split(",")]
      print(sort(unsorted))













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


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

UpperCAmelCase	:	Optional[int]		     =       {
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					List[Any]						=			"""canine"""







      def __init__(    self		,      lowerCAmelCase__=7_6_8		,      lowerCAmelCase__=1_2		,      lowerCAmelCase__=1_2		,      lowerCAmelCase__=3_0_7_2		,      lowerCAmelCase__="gelu"		,      lowerCAmelCase__=0.1		,      lowerCAmelCase__=0.1		,      lowerCAmelCase__=1_6_3_8_4		,      lowerCAmelCase__=1_6		,      lowerCAmelCase__=0.02		,      lowerCAmelCase__=1E-12		,      lowerCAmelCase__=0		,      lowerCAmelCase__=0XE0_00		,      lowerCAmelCase__=0XE0_01		,      lowerCAmelCase__=4		,      lowerCAmelCase__=4		,      lowerCAmelCase__=8		,      lowerCAmelCase__=1_6_3_8_4		,      lowerCAmelCase__=1_2_8		,      **lowerCAmelCase__		,      )   ->						Dict:



        '''simple docstring'''




        super().__init__(pad_token_id=lowerCAmelCase__		,      bos_token_id=lowerCAmelCase__		,      eos_token_id=lowerCAmelCase__		,      **lowerCAmelCase__							)

        a__	:					Optional[int]										=max_position_embeddings
        a__	:					str										=hidden_size
        a__	:					Optional[Any]										=num_hidden_layers
        a__	:					Tuple										=num_attention_heads
        a__	:					Optional[Any]										=intermediate_size
        a__	:					Optional[int]										=hidden_act
        a__	:					List[Any]										=hidden_dropout_prob
        a__	:					Union[str, Any]										=attention_probs_dropout_prob
        a__	:					Optional[Any]										=initializer_range
        a__	:					Union[str, Any]										=type_vocab_size
        a__	:					Optional[int]										=layer_norm_eps

        # Character config:
        a__	:					int										=downsampling_rate
        a__	:					Optional[Any]										=upsampling_kernel_size
        a__	:					Union[str, Any]										=num_hash_functions
        a__	:					Any										=num_hash_buckets
        a__	:					int										=local_transformer_stride






