





'''simple docstring'''






import math
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase = 0							,	lowerCAmelCase = 0  ):





      """simple docstring"""


      _lowerCAmelCase							     =							end or len(lowerCAmelCase  )
      for i in range(lowerCAmelCase							,	lowerCAmelCase  ):
            _lowerCAmelCase							     =							i
            _lowerCAmelCase							     =							array[i]
            while temp_index != start and temp_index_value < array[temp_index - 1]:
                  _lowerCAmelCase							     =							array[temp_index - 1]
                  temp_index -= 1
            _lowerCAmelCase							     =							temp_index_value
      return array
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):  # Max Heap





      """simple docstring"""


      _lowerCAmelCase							     =							index
      _lowerCAmelCase							     =							2 * index + 1  # Left Node
      _lowerCAmelCase							     =							2 * index + 2  # Right Node

      if left_index < heap_size and array[largest] < array[left_index]:
            _lowerCAmelCase							     =							left_index

      if right_index < heap_size and array[largest] < array[right_index]:
            _lowerCAmelCase							     =							right_index

      if largest != index:
            _lowerCAmelCase     ,							_lowerCAmelCase							     =							array[largest], array[index]
            heapify(lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  )
def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							len(lowerCAmelCase  )

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

      for i in range(n - 1							,	0							,	-1  ):
            _lowerCAmelCase     ,							_lowerCAmelCase							     =							array[0], array[i]
            heapify(lowerCAmelCase							,	0							,	lowerCAmelCase  )

      return array
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      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    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							low
      _lowerCAmelCase							     =							high
      while True:
            while array[i] < pivot:
                  i += 1
            j -= 1
            while pivot < array[j]:
                  j -= 1
            if i >= j:
                  return i
            _lowerCAmelCase     ,							_lowerCAmelCase							     =							array[j], array[i]
            i += 1
def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


      if len(lowerCAmelCase  ) == 0:
            return array
      _lowerCAmelCase							     =							2 * math.ceil(math.loga(len(lowerCAmelCase  )  )  )
      _lowerCAmelCase							     =							16
      return intro_sort(lowerCAmelCase							,	0							,	len(lowerCAmelCase  )							,	lowerCAmelCase							,	lowerCAmelCase  )
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      while end - start > size_threshold:
            if max_depth == 0:
                  return heap_sort(lowerCAmelCase  )
            max_depth -= 1
            _lowerCAmelCase							     =							median_of_a(lowerCAmelCase							,	lowerCAmelCase							,	start + ((end - start) // 2) + 1							,	end - 1  )
            _lowerCAmelCase							     =							partition(lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  )
            intro_sort(lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  )
            _lowerCAmelCase							     =							p
      return insertion_sort(lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()

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











"""simple docstring"""
import unittest

import numpy as np

from transformers import BertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask


if is_flax_available():
						from transformers.models.bert.modeling_flax_bert import (
						    FlaxBertForMaskedLM,
						    FlaxBertForMultipleChoice,
						    FlaxBertForNextSentencePrediction,
						    FlaxBertForPreTraining,
						    FlaxBertForQuestionAnswering,
						    FlaxBertForSequenceClassification,
						    FlaxBertForTokenClassification,
						    FlaxBertModel,
						)
class 				lowerCamelCase  (			unittest.TestCase				):






					'''simple docstring'''





					def __init__(       self:							List[Any]						,     snake_case:							List[str]						,     snake_case:							Optional[Any]=13						,     snake_case:							List[str]=7						,     snake_case:							Dict=True						,     snake_case:							List[str]=True						,     snake_case:							Optional[int]=True						,     snake_case:							Any=True						,     snake_case:							Optional[Any]=99						,     snake_case:							Tuple=32						,     snake_case:							Tuple=5						,     snake_case:							Dict=4						,     snake_case:							Optional[Any]=37						,     snake_case:							Union[str, Any]="gelu"						,     snake_case:							Tuple=0.1						,     snake_case:							List[Any]=0.1						,     snake_case:							List[str]=512						,     snake_case:							Optional[int]=16						,     snake_case:							int=2						,     snake_case:							List[Any]=0.0_2						,     snake_case:							Union[str, Any]=4						,     )   ->	List[str]:
											snake_case_ :Dict						=			parent
											snake_case_ :Any						=			batch_size
											snake_case_ :Any						=			seq_length
											snake_case_ :List[str]						=			is_training
											snake_case_ :Optional[Any]						=			use_attention_mask
											snake_case_ :Dict						=			use_token_type_ids
											snake_case_ :Union[str, Any]						=			use_labels
											snake_case_ :str						=			vocab_size
											snake_case_ :int						=			hidden_size
											snake_case_ :List[str]						=			num_hidden_layers
											snake_case_ :Dict						=			num_attention_heads
											snake_case_ :Any						=			intermediate_size
											snake_case_ :Tuple						=			hidden_act
											snake_case_ :int						=			hidden_dropout_prob
											snake_case_ :Optional[Any]						=			attention_probs_dropout_prob
											snake_case_ :Any						=			max_position_embeddings
											snake_case_ :Union[str, Any]						=			type_vocab_size
											snake_case_ :Optional[int]						=			type_sequence_label_size
											snake_case_ :Union[str, Any]						=			initializer_range
											snake_case_ :Tuple						=			num_choices






					def    lowerCAmelCase_				(       self:							Tuple						)   ->	str:
											snake_case_ :Optional[Any]						=			ids_tensor([self.batch_size, self.seq_length]						,     self.vocab_size						)

											snake_case_ :Union[str, Any]						=			None
											if self.use_attention_mask:
																	snake_case_ :str						=			random_attention_mask([self.batch_size, self.seq_length]						)

											snake_case_ :Any						=			None
											if self.use_token_type_ids:
																	snake_case_ :List[str]						=			ids_tensor([self.batch_size, self.seq_length]						,     self.type_vocab_size						)

											snake_case_ :int						=			BertConfig(
											    vocab_size=self.vocab_size						,     hidden_size=self.hidden_size						,     num_hidden_layers=self.num_hidden_layers						,     num_attention_heads=self.num_attention_heads						,     intermediate_size=self.intermediate_size						,     hidden_act=self.hidden_act						,     hidden_dropout_prob=self.hidden_dropout_prob						,     attention_probs_dropout_prob=self.attention_probs_dropout_prob						,     max_position_embeddings=self.max_position_embeddings						,     type_vocab_size=self.type_vocab_size						,     is_decoder=snake_case						,     initializer_range=self.initializer_range						,     )

											return config, input_ids, token_type_ids, attention_mask






					def    lowerCAmelCase_				(       self:							Optional[int]						)   ->	int:
											snake_case_ :str						=			self.prepare_config_and_inputs()
											snake_case_,       snake_case_,       snake_case_,       snake_case_ :Optional[int]						=			config_and_inputs
											snake_case_ :Union[str, Any]						=			{"""input_ids""": input_ids, """token_type_ids""": token_type_ids, """attention_mask""": attention_mask}
											return config, inputs_dict






					def    lowerCAmelCase_				(       self:							Optional[Any]						)   ->	Any:
											snake_case_ :int						=			self.prepare_config_and_inputs()
											snake_case_,       snake_case_,       snake_case_,       snake_case_ :Dict						=			config_and_inputs

											snake_case_ :Union[str, Any]						=			True
											snake_case_ :Optional[int]						=			floats_tensor([self.batch_size, self.seq_length, self.hidden_size]						)
											snake_case_ :Tuple						=			ids_tensor([self.batch_size, self.seq_length]						,     vocab_size=2						)

											return (
											    config,
											    input_ids,
											    attention_mask,
											    encoder_hidden_states,
											    encoder_attention_mask,
											)

@require_flax
class 				lowerCamelCase  (			_lowerCAmelCase    ,						unittest.TestCase				):






					'''simple docstring'''





					_A		:			List[str]						=     True

					_A		:			Dict						=     (
					    (
					        FlaxBertModel,
					        FlaxBertForPreTraining,
					        FlaxBertForMaskedLM,
					        FlaxBertForMultipleChoice,
					        FlaxBertForQuestionAnswering,
					        FlaxBertForNextSentencePrediction,
					        FlaxBertForSequenceClassification,
					        FlaxBertForTokenClassification,
					        FlaxBertForQuestionAnswering,
					    )
					    if is_flax_available()
					    else ()
					)






					def    lowerCAmelCase_				(       self:							int						)   ->	List[str]:
											snake_case_ :Any						=			FlaxBertModelTester(self						)






					@slow
					def    lowerCAmelCase_				(       self:							List[str]						)   ->	Dict:
											# Only check this for base model, not necessary for all model classes.
											# This will also help speed-up tests.
											snake_case_ :Dict						=			FlaxBertModel.from_pretrained("""bert-base-cased"""						)
											snake_case_ :Dict						=			model(np.ones((1, 1)						)						)
											self.assertIsNotNone(snake_case						)
