




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, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast


@require_vision
class     __SCREAMING_SNAKE_CASE							(		unittest.TestCase  ):

					def      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		List[Any]							       =							tempfile.mkdtemp()

						lowerCamelCase_							:		Any							       =							CLIPImageProcessor()
						lowerCamelCase_							:		Optional[int]							       =							BertTokenizer.from_pretrained(
						    'hf-internal-testing/tiny-random-BertModel'			,	model_input_names=['input_ids', 'attention_mask'] )

						lowerCamelCase_							:		Dict							       =							GitProcessor(__lowercase			,	__lowercase )

						processor.save_pretrained(self.tmpdirname )

					def      lowercase_							(    self			,	**__lowercase ):







						'''simple docstring'''




						return AutoProcessor.from_pretrained(self.tmpdirname			,	**__lowercase ).tokenizer

					def      lowercase_							(    self			,	**__lowercase ):







						'''simple docstring'''




						return AutoProcessor.from_pretrained(self.tmpdirname			,	**__lowercase ).image_processor

					def      lowercase_							(    self ):







						'''simple docstring'''




						shutil.rmtree(self.tmpdirname )

					def      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		Dict							       =							[np.random.randint(255			,	size=(3, 30, 400)			,	dtype=np.uinta )]

						lowerCamelCase_							:		Optional[Any]							       =							[Image.fromarray(np.moveaxis(__lowercase			,	0			,	-1 ) ) for x in image_inputs]

						return image_inputs

					def      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		Optional[int]							       =							GitProcessor(tokenizer=self.get_tokenizer()			,	image_processor=self.get_image_processor() )
						processor.save_pretrained(self.tmpdirname )

						lowerCamelCase_							:		Dict							       =							self.get_tokenizer(bos_token='(BOS)'			,	eos_token='(EOS)' )
						lowerCamelCase_							:		Optional[Any]							       =							self.get_image_processor(do_normalize=__lowercase			,	padding_value=1.0 )

						lowerCamelCase_							:		Union[str, Any]							       =							GitProcessor.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      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		Union[str, Any]							       =							self.get_image_processor()
						lowerCamelCase_							:		List[Any]							       =							self.get_tokenizer()

						lowerCamelCase_							:		int							       =							GitProcessor(tokenizer=__lowercase			,	image_processor=__lowercase )

						lowerCamelCase_							:		List[Any]							       =							self.prepare_image_inputs()

						lowerCamelCase_							:		Optional[Any]							       =							image_processor(__lowercase			,	return_tensors='np' )
						lowerCamelCase_							:		int							       =							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      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		str							       =							self.get_image_processor()
						lowerCamelCase_							:		Dict							       =							self.get_tokenizer()

						lowerCamelCase_							:		List[Any]							       =							GitProcessor(tokenizer=__lowercase			,	image_processor=__lowercase )

						lowerCamelCase_							:		List[str]							       =							"lower newer"

						lowerCamelCase_							:		Optional[int]							       =							processor(text=__lowercase )

						lowerCamelCase_							:		Tuple							       =							tokenizer(__lowercase			,	return_token_type_ids=__lowercase )

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

					def      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		Union[str, Any]							       =							self.get_image_processor()
						lowerCamelCase_							:		Dict							       =							self.get_tokenizer()

						lowerCamelCase_							:		Any							       =							GitProcessor(tokenizer=__lowercase			,	image_processor=__lowercase )

						lowerCamelCase_							:		Optional[Any]							       =							"lower newer"
						lowerCamelCase_							:		Optional[int]							       =							self.prepare_image_inputs()

						lowerCamelCase_							:		Any							       =							processor(text=__lowercase			,	images=__lowercase )

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

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

					def      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		List[str]							       =							self.get_image_processor()
						lowerCamelCase_							:		List[Any]							       =							self.get_tokenizer()

						lowerCamelCase_							:		List[str]							       =							GitProcessor(tokenizer=__lowercase			,	image_processor=__lowercase )

						lowerCamelCase_							:		List[str]							       =							[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

						lowerCamelCase_							:		Dict							       =							processor.batch_decode(__lowercase )
						lowerCamelCase_							:		Dict							       =							tokenizer.batch_decode(__lowercase )

						self.assertListEqual(__lowercase			,	__lowercase )





					def      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		List[Any]							       =							self.get_image_processor()
						lowerCamelCase_							:		Union[str, Any]							       =							self.get_tokenizer()

						lowerCamelCase_							:		Optional[int]							       =							GitProcessor(tokenizer=__lowercase			,	image_processor=__lowercase )

						lowerCamelCase_							:		Dict							       =							"lower newer"
						lowerCamelCase_							:		Tuple							       =							self.prepare_image_inputs()

						lowerCamelCase_							:		Dict							       =							processor(text=__lowercase			,	images=__lowercase )

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






from __future__ import annotations






def  snake_case (							A						,       A      )							->							Union[str, Any]:




	'''simple docstring'''


	lowerCamelCase_							:		Tuple							       =							0
	lowerCamelCase_							:		str							       =							len(A      ) - 1
	while left <= right:
		lowerCamelCase_							:		str							       =							(left + right) // 2
		if left == right:
			if sorted_list[middle] < item:
				lowerCamelCase_							:		List[Any]							       =							middle + 1
			break
		elif sorted_list[middle] < item:
			lowerCamelCase_							:		Any							       =							middle + 1
		else:
			lowerCamelCase_							:		Optional[int]							       =							middle - 1
	sorted_list.insert(A						,       A      )
	return sorted_list






def  snake_case (							A						,       A      )							->							Union[str, Any]:




	'''simple docstring'''


	lowerCamelCase_							:		List[Any]							       =							[]
	while left and right:
		if left[0][0] < right[0][0]:
			result.append(left.pop(0      )      )
		else:
			result.append(right.pop(0      )      )
	return result + left + right






def  snake_case (							A      )							->							Any:




	'''simple docstring'''


	lowerCamelCase_							:		List[Any]							       =							len(A      )
	if length <= 1:
		return list_ad
	lowerCamelCase_							:		Any							       =							length // 2
	return merge(sortlist_ad(list_ad[:middle]      )						,       sortlist_ad(list_ad[middle:]      )      )






def  snake_case (							A      )							->							list[int]:




	'''simple docstring'''


	if len(A      ) <= 1:
		return collection
	lowerCamelCase_							:		Tuple							       =							[]
	lowerCamelCase_							:		int							       =							False
	for i in range(0						,       len(A      )						,       2      ):
		if i == len(A      ) - 1:
			lowerCamelCase_							:		Any							       =							True
		else:
			if collection[i] < collection[i + 1]:
				two_paired_list.append([collection[i], collection[i + 1]]      )
			else:
				two_paired_list.append([collection[i + 1], collection[i]]      )
	lowerCamelCase_							:		Union[str, Any]							       =							sortlist_ad(A      )
	lowerCamelCase_							:		int							       =							[i[0] for i in sorted_list_ad]
	result.append(sorted_list_ad[-1][1]      )
	if has_last_odd_item:
		lowerCamelCase_							:		List[str]							       =							collection[-1]
		lowerCamelCase_							:		Optional[Any]							       =							binary_search_insertion(A						,       A      )
	lowerCamelCase_							:		Optional[Any]							       =							False
	for i in range(len(A      ) - 1      ):
		if result[i] == collection[-1] and has_last_odd_item:
			lowerCamelCase_							:		Optional[Any]							       =							True
		lowerCamelCase_							:		Dict							       =							sorted_list_ad[i][1]
		# If last_odd_item is inserted before the item's index,
		# you should forward index one more.
		if is_last_odd_item_inserted_before_this_index:
			lowerCamelCase_							:		Dict							       =							result[: i + 2] + binary_search_insertion(result[i + 2 :]						,       A      )
		else:
			lowerCamelCase_							:		str							       =							result[: i + 1] + binary_search_insertion(result[i + 1 :]						,       A      )

	return result


if __name__ == "__main__":
							UpperCamelCase__		=						input('Enter numbers separated by a comma:\n').strip()
							UpperCamelCase__		=						[int(item) for item in user_input.split(',')]
							print(merge_insertion_sort(unsorted))
