




"""simple docstring"""




import math







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase = 0	,				__UpperCamelCase = 0	):
			__lowercase			:  List[Any]								=       end or len(__UpperCamelCase	)
			for i in range(__UpperCamelCase	,				__UpperCamelCase	):
						__lowercase			:  Any								=       i
						__lowercase			:  str								=       array[i]
						while temp_index != start and temp_index_value < array[temp_index - 1]:
									__lowercase			:  Union[str, Any]								=       array[temp_index - 1]
									temp_index -= 1
						__lowercase			:  List[str]								=       temp_index_value
			return array







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	):  # Max Heap
			__lowercase			:  Dict								=       index
			__lowercase			:  Optional[Any]								=       2 * index + 1  # Left Node
			__lowercase			:  str								=       2 * index + 2  # Right Node

			if left_index < heap_size and array[largest] < array[left_index]:
						__lowercase			:  str								=       left_index

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

			if largest != index:
						__lowercase			,__lowercase			:  Union[str, Any]								=       array[largest], array[index]
						heapify(__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	)







def      __UpperCAmelCase     ( __UpperCamelCase	):
			__lowercase			:  List[str]								=       len(__UpperCamelCase	)

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

			for i in range(n - 1	,				0	,				-1	):
						__lowercase			,__lowercase			:  Optional[int]								=       array[0], array[i]
						heapify(__UpperCamelCase	,				0	,				__UpperCamelCase	)

			return array







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	):
			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     ( __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	):
			__lowercase			:  int								=       low
			__lowercase			:  Dict								=       high
			while True:
						while array[i] < pivot:
									i += 1
						j -= 1
						while pivot < array[j]:
									j -= 1
						if i >= j:
									return i
						__lowercase			,__lowercase			:  str								=       array[j], array[i]
						i += 1







def      __UpperCAmelCase     ( __UpperCamelCase	):
			if len(__UpperCamelCase	) == 0:
						return array
			__lowercase			:  Tuple								=       2 * math.ceil(math.loga(len(__UpperCamelCase	)	)	)
			__lowercase			:  Dict								=       16
			return intro_sort(__UpperCamelCase	,				0	,				len(__UpperCamelCase	)	,				__UpperCamelCase	,				__UpperCamelCase	)







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	):
			while end - start > size_threshold:
						if max_depth == 0:
									return heap_sort(__UpperCamelCase	)
						max_depth -= 1
						__lowercase			:  str								=       median_of_a(__UpperCamelCase	,				__UpperCamelCase	,				start + ((end - start) // 2) + 1	,				end - 1	)
						__lowercase			:  Dict								=       partition(__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	)
						intro_sort(__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	)
						__lowercase			:  List[str]								=       p
			return insertion_sort(__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	)


if __name__ == "__main__":
			import doctest

			doctest.testmod()

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







import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
	from PIL import Image

	from transformers import AutoProcessor, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast




@require_vision
class       lowercase_					(unittest.TestCase   ):





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =tempfile.mkdtemp()

											a__      =BlipImageProcessor()
											a__      =BertTokenizer.from_pretrained('hf-internal-testing/tiny-random-BertModel')

											a__      =BlipProcessor(lowercase_       ,  lowercase_)

											processor.save_pretrained(self.tmpdirname)





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> str:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).tokenizer





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> List[str]:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).image_processor





				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											shutil.rmtree(self.tmpdirname)





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =[np.random.randint(255       ,  size=(3, 30, 400)       ,  dtype=np.uinta)]

											a__      =[Image.fromarray(np.moveaxis(lowercase_       ,  0       ,  -1)) for x in image_inputs]

											return image_inputs





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =BlipProcessor(tokenizer=self.get_tokenizer()       ,  image_processor=self.get_image_processor())
											processor.save_pretrained(self.tmpdirname)

											a__      =self.get_tokenizer(bos_token='(BOS)'       ,  eos_token='(EOS)')
											a__      =self.get_image_processor(do_normalize=lowercase_       ,  padding_value=1.0)

											a__      =BlipProcessor.from_pretrained(
											    self.tmpdirname       ,  bos_token='(BOS)'       ,  eos_token='(EOS)'       ,  do_normalize=lowercase_       ,  padding_value=1.0)

											self.assertEqual(processor.tokenizer.get_vocab()       ,  tokenizer_add_kwargs.get_vocab())
											self.assertIsInstance(processor.tokenizer       ,  lowercase_)

											self.assertEqual(processor.image_processor.to_json_string()       ,  image_processor_add_kwargs.to_json_string())
											self.assertIsInstance(processor.image_processor       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      =self.prepare_image_inputs()

											a__      =image_processor(lowercase_       ,  return_tensors='np')
											a__      =processor(images=lowercase_       ,  return_tensors='np')

											for key in input_feat_extract.keys():
																		self.assertAlmostEqual(input_feat_extract[key].sum()       ,  input_processor[key].sum()       ,  delta=1e-2)





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'

											a__      =processor(text=lowercase_)

											a__      =tokenizer(lowercase_       ,  return_token_type_ids=lowercase_)

											for key in encoded_tok.keys():
																		self.assertListEqual(encoded_tok[key]       ,  encoded_processor[key])





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'
											a__      =self.prepare_image_inputs()

											a__      =processor(text=lowercase_       ,  images=lowercase_)

											self.assertListEqual(list(inputs.keys())       ,  ['pixel_values', 'input_ids', 'attention_mask'])

											# test if it raises when no input is passed
											with pytest.raises(lowercase_):
																		processor()





				def 						__UpperCamelCase    (				self)  -> Tuple:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      =[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

											a__      =processor.batch_decode(lowercase_)
											a__      =tokenizer.batch_decode(lowercase_)

											self.assertListEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'
											a__      =self.prepare_image_inputs()

											a__      =processor(text=lowercase_       ,  images=lowercase_)

											# For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
											self.assertListEqual(list(inputs.keys())       ,  ['pixel_values', 'input_ids', 'attention_mask'])

