


'''simple docstring'''

import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
 from PIL import Image

 from transformers import AlignProcessor, EfficientNetImageProcessor
@require_vision
class   __lowerCAmelCase						(unittest.TestCase     ):





      '''simple docstring'''






      def       UpperCamelCase__		(self    :    List[Any] ):

             '''simple docstring'''







             lowercase__      			= tempfile.mkdtemp()

             lowercase__      			= [
                 '''[UNK]''',
                 '''[CLS]''',
                 '''[SEP]''',
                 '''[PAD]''',
                 '''[MASK]''',
                 '''want''',
                 '''##want''',
                 '''##ed''',
                 '''wa''',
                 '''un''',
                 '''runn''',
                 '''##ing''',
                 ''',''',
                 '''low''',
                 '''lowest''',
             ]
             lowercase__      			= os.path.join(self.tmpdirname   ,						VOCAB_FILES_NAMES['''vocab_file'''] )
             with open(self.vocab_file   ,						'''w'''   ,						encoding='''utf-8''' ) as vocab_writer:
                    vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens] ) )

             lowercase__      			= {
                 '''do_resize''': True,
                 '''size''': 20,
                 '''do_center_crop''': True,
                 '''crop_size''': 18,
                 '''do_normalize''': True,
                 '''image_mean''': [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
                 '''image_std''': [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
             }
             lowercase__      			= os.path.join(self.tmpdirname   ,						UpperCamelCase )
             with open(self.image_processor_file   ,						'''w'''   ,						encoding='''utf-8''' ) as fp:
                    json.dump(UpperCamelCase   ,						UpperCamelCase )



      def       UpperCamelCase__		(self    :    Tuple   ,						**UpperCamelCase    :    Optional[int] ):

             '''simple docstring'''







             return BertTokenizer.from_pretrained(self.tmpdirname   ,						**UpperCamelCase )



      def       UpperCamelCase__		(self    :    Tuple   ,						**UpperCamelCase    :    List[str] ):

             '''simple docstring'''







             return BertTokenizerFast.from_pretrained(self.tmpdirname   ,						**UpperCamelCase )



      def       UpperCamelCase__		(self    :    List[Any]   ,						**UpperCamelCase    :    Optional[int] ):

             '''simple docstring'''







             return EfficientNetImageProcessor.from_pretrained(self.tmpdirname   ,						**UpperCamelCase )



      def       UpperCamelCase__		(self    :    str ):

             '''simple docstring'''







             shutil.rmtree(self.tmpdirname )



      def       UpperCamelCase__		(self    :    Optional[Any] ):

             '''simple docstring'''







             lowercase__      			= [np.random.randint(255   ,						size=(3, 30, 400)   ,						dtype=np.uinta )]
             lowercase__      			= [Image.fromarray(np.moveaxis(UpperCamelCase   ,						0   ,						-1 ) ) for x in image_inputs]
             return image_inputs



      def       UpperCamelCase__		(self    :    Union[str, Any] ):

             '''simple docstring'''







             lowercase__      			= self.get_tokenizer()
             lowercase__      			= self.get_rust_tokenizer()
             lowercase__      			= self.get_image_processor()

             lowercase__      			= AlignProcessor(tokenizer=UpperCamelCase   ,						image_processor=UpperCamelCase )
             processor_slow.save_pretrained(self.tmpdirname )
             lowercase__      			= AlignProcessor.from_pretrained(self.tmpdirname   ,						use_fast=UpperCamelCase )

             lowercase__      			= AlignProcessor(tokenizer=UpperCamelCase   ,						image_processor=UpperCamelCase )
             processor_fast.save_pretrained(self.tmpdirname )
             lowercase__      			= AlignProcessor.from_pretrained(self.tmpdirname )

             self.assertEqual(processor_slow.tokenizer.get_vocab()   ,						tokenizer_slow.get_vocab() )
             self.assertEqual(processor_fast.tokenizer.get_vocab()   ,						tokenizer_fast.get_vocab() )
             self.assertEqual(tokenizer_slow.get_vocab()   ,						tokenizer_fast.get_vocab() )
             self.assertIsInstance(processor_slow.tokenizer   ,						UpperCamelCase )
             self.assertIsInstance(processor_fast.tokenizer   ,						UpperCamelCase )

             self.assertEqual(processor_slow.image_processor.to_json_string()   ,						image_processor.to_json_string() )
             self.assertEqual(processor_fast.image_processor.to_json_string()   ,						image_processor.to_json_string() )
             self.assertIsInstance(processor_slow.image_processor   ,						UpperCamelCase )
             self.assertIsInstance(processor_fast.image_processor   ,						UpperCamelCase )



      def       UpperCamelCase__		(self    :    int ):

             '''simple docstring'''







             lowercase__      			= AlignProcessor(tokenizer=self.get_tokenizer()   ,						image_processor=self.get_image_processor() )
             processor.save_pretrained(self.tmpdirname )

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

             lowercase__      			= AlignProcessor.from_pretrained(
                 self.tmpdirname   ,						bos_token='''(BOS)'''   ,						eos_token='''(EOS)'''   ,						do_normalize=UpperCamelCase   ,						padding_value=1.0 )

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

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



      def       UpperCamelCase__		(self    :    List[str] ):

             '''simple docstring'''







             lowercase__      			= self.get_image_processor()
             lowercase__      			= self.get_tokenizer()

             lowercase__      			= AlignProcessor(tokenizer=UpperCamelCase   ,						image_processor=UpperCamelCase )

             lowercase__      			= self.prepare_image_inputs()

             lowercase__      			= image_processor(UpperCamelCase   ,						return_tensors='''np''' )
             lowercase__      			= processor(images=UpperCamelCase   ,						return_tensors='''np''' )

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



      def       UpperCamelCase__		(self    :    Tuple ):

             '''simple docstring'''







             lowercase__      			= self.get_image_processor()
             lowercase__      			= self.get_tokenizer()

             lowercase__      			= AlignProcessor(tokenizer=UpperCamelCase   ,						image_processor=UpperCamelCase )

             lowercase__      			= '''lower newer'''

             lowercase__      			= processor(text=UpperCamelCase )

             lowercase__      			= tokenizer(UpperCamelCase   ,						padding='''max_length'''   ,						max_length=64 )

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



      def       UpperCamelCase__		(self    :    Tuple ):

             '''simple docstring'''







             lowercase__      			= self.get_image_processor()
             lowercase__      			= self.get_tokenizer()

             lowercase__      			= AlignProcessor(tokenizer=UpperCamelCase   ,						image_processor=UpperCamelCase )

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

             lowercase__      			= processor(text=UpperCamelCase   ,						images=UpperCamelCase )

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

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



      def       UpperCamelCase__		(self    :    Tuple ):

             '''simple docstring'''







             lowercase__      			= self.get_image_processor()
             lowercase__      			= self.get_tokenizer()

             lowercase__      			= AlignProcessor(tokenizer=UpperCamelCase   ,						image_processor=UpperCamelCase )

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

             lowercase__      			= processor.batch_decode(UpperCamelCase )
             lowercase__      			= tokenizer.batch_decode(UpperCamelCase )

             self.assertListEqual(UpperCamelCase   ,						UpperCamelCase )






      def       UpperCamelCase__		(self    :    Optional[Any] ):

             '''simple docstring'''







             lowercase__      			= self.get_image_processor()
             lowercase__      			= self.get_tokenizer()

             lowercase__      			= AlignProcessor(tokenizer=UpperCamelCase   ,						image_processor=UpperCamelCase )

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

             lowercase__      			= processor(text=UpperCamelCase   ,						images=UpperCamelCase )

             self.assertListEqual(list(inputs.keys() )   ,						processor.model_input_names )









"""simple docstring"""






from __future__ import annotations


def 			_lowercase				(  __snake_case					,__snake_case					,__snake_case					,__snake_case	)						->   list:
			__lowerCAmelCase      :  Dict												=       []
			__lowerCAmelCase						,	__lowerCAmelCase      :  Any												=       input_list[low:mid], input_list[mid : high + 1]
			while left and right:
						result.append((left if left[0] <= right[0] else right).pop(0	)	)
			__lowerCAmelCase      :  int												=       result + left + right
			return input_list


def 			_lowercase				(  __snake_case	)						->   list:
			if len(__snake_case	) <= 1:
						return input_list
			__lowerCAmelCase      :  int												=       list(__snake_case	)

			# iteration for two-way merging
			__lowerCAmelCase      :  Optional[int]												=       2
			while p <= len(__snake_case	):
						# getting low, high and middle value for merge-sort of single list
						for i in range(0					,len(__snake_case	)					,__snake_case	):
									__lowerCAmelCase      :  Union[str, Any]												=       i
									__lowerCAmelCase      :  Tuple												=       i + p - 1
									__lowerCAmelCase      :  Optional[Any]												=       (low + high + 1) // 2
									__lowerCAmelCase      :  Any												=       merge(__snake_case					,__snake_case					,__snake_case					,__snake_case	)
						# final merge of last two parts
						if p * 2 >= len(__snake_case	):
									__lowerCAmelCase      :  Optional[Any]												=       i
									__lowerCAmelCase      :  Union[str, Any]												=       merge(__snake_case					,0					,__snake_case					,len(__snake_case	) - 1	)
									break
						p *= 2

			return input_list


if __name__ == "__main__":
	__snake_case							:   Union[str, Any]      =    input('Enter numbers separated by a comma:\n').strip()
	if user_input == "":
		__snake_case							:   Optional[int]      =    []
	else:
		__snake_case							:   int      =    [int(item.strip()) for item in user_input.split(',')]
	print(iter_merge_sort(unsorted))