



"""simple docstring"""


import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available


if is_torch_available():
				from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_11
else:
				snake_case_        = False

if is_vision_available():
				from PIL import Image

				from transformers import (
				    AutoProcessor,
				    PixaStructImageProcessor,
				    PixaStructProcessor,
				    PreTrainedTokenizerFast,
				    TaTokenizer,
				)







@unittest.skipIf(
    not is_torch_greater_or_equal_than_1_11			,     reason="""`Pix2StructImageProcessor` requires `torch>=1.11.0`."""			,     )
@require_vision
@require_torch
class    A_    (  unittest.TestCase       ):



						"""simple docstring"""






						def 			UpperCAmelCase__  (      self				:Optional[int]      )       ->    Tuple:
												UpperCAmelCase    =				tempfile.mkdtemp()

												UpperCAmelCase    =				PixaStructImageProcessor()
												UpperCAmelCase    =				TaTokenizer.from_pretrained('t5-small'      )

												UpperCAmelCase    =				PixaStructProcessor(lowercase_     ,						lowercase_      )

												processor.save_pretrained(self.tmpdirname      )






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






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






						def 			UpperCAmelCase__  (      self				:Any      )       ->    Optional[Any]:
												shutil.rmtree(self.tmpdirname      )






						def 			UpperCAmelCase__  (      self				:Any      )       ->    Dict:
												UpperCAmelCase    =				[np.random.randint(2_55     ,						size=(3, 30, 4_00)     ,						dtype=np.uinta      )]

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

												return image_inputs






						def 			UpperCAmelCase__  (      self				:List[str]      )       ->    int:
												UpperCAmelCase    =				PixaStructProcessor(tokenizer=self.get_tokenizer()     ,						image_processor=self.get_image_processor()      )
												processor.save_pretrained(self.tmpdirname      )

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

												UpperCAmelCase    =				PixaStructProcessor.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				:Any      )       ->    Dict:
												UpperCAmelCase    =				self.get_image_processor()
												UpperCAmelCase    =				self.get_tokenizer()

												UpperCAmelCase    =				PixaStructProcessor(tokenizer=lowercase_     ,						image_processor=lowercase_      )

												UpperCAmelCase    =				self.prepare_image_inputs()

												UpperCAmelCase    =				image_processor(lowercase_     ,						return_tensors='np'      )
												UpperCAmelCase    =				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				:int      )       ->    Tuple:
												UpperCAmelCase    =				self.get_image_processor()
												UpperCAmelCase    =				self.get_tokenizer()

												UpperCAmelCase    =				PixaStructProcessor(tokenizer=lowercase_     ,						image_processor=lowercase_      )

												UpperCAmelCase    =				'lower newer'

												UpperCAmelCase    =				processor(text=lowercase_      )

												UpperCAmelCase    =				tokenizer(lowercase_     ,						return_token_type_ids=lowercase_     ,						add_special_tokens=lowercase_      )

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






						def 			UpperCAmelCase__  (      self				:Any      )       ->    Optional[Any]:
												UpperCAmelCase    =				self.get_image_processor()
												UpperCAmelCase    =				self.get_tokenizer()

												UpperCAmelCase    =				PixaStructProcessor(tokenizer=lowercase_     ,						image_processor=lowercase_      )

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

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

												self.assertListEqual(
												    list(inputs.keys()      )     ,						['flattened_patches', 'attention_mask', 'decoder_attention_mask', 'decoder_input_ids']      )

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






						def 			UpperCAmelCase__  (      self				:int      )       ->    Union[str, Any]:
												UpperCAmelCase    =				self.get_image_processor()
												UpperCAmelCase    =				self.get_tokenizer()

												UpperCAmelCase    =				PixaStructProcessor(tokenizer=lowercase_     ,						image_processor=lowercase_      )

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

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

												UpperCAmelCase    =				[5_12, 10_24, 20_48, 40_96]
												UpperCAmelCase    =				[7_70, 7_70, 7_70, 7_70]
												# with text
												for i, max_patch in enumerate(lowercase_      ):
																		UpperCAmelCase    =				processor(text=lowercase_     ,						images=lowercase_     ,						max_patches=lowercase_      )
																		self.assertEqual(inputs['flattened_patches'][0].shape[0]     ,						lowercase_      )
																		self.assertEqual(inputs['flattened_patches'][0].shape[1]     ,						expected_hidden_size[i]      )

												# without text input
												for i, max_patch in enumerate(lowercase_      ):
																		UpperCAmelCase    =				processor(images=lowercase_     ,						max_patches=lowercase_      )
																		self.assertEqual(inputs['flattened_patches'][0].shape[0]     ,						lowercase_      )
																		self.assertEqual(inputs['flattened_patches'][0].shape[1]     ,						expected_hidden_size[i]      )






						def 			UpperCAmelCase__  (      self				:Union[str, Any]      )       ->    List[Any]:
												UpperCAmelCase    =				self.get_image_processor()
												UpperCAmelCase    =				self.get_tokenizer()

												UpperCAmelCase    =				PixaStructProcessor(tokenizer=lowercase_     ,						image_processor=lowercase_      )

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

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

												self.assertListEqual(lowercase_     ,						lowercase_      )






						def 			UpperCAmelCase__  (      self				:int      )       ->    Optional[int]:
												UpperCAmelCase    =				self.get_image_processor()
												UpperCAmelCase    =				self.get_tokenizer()

												UpperCAmelCase    =				PixaStructProcessor(tokenizer=lowercase_     ,						image_processor=lowercase_      )

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

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

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

												UpperCAmelCase    =				processor(text=lowercase_      )

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










"""simple docstring"""


from collections import Counter

def 				_lowerCAmelCase   (     lowercase_		):
						return sum(socks_by_color // 2 for socks_by_color in Counter(lowercase_		).values()		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				snake_case_         = [int(x) for x in input("""Enter socks by color :""").rstrip().split()]
				print(f'''sock_merchant({colors}) = {sock_merchant(colors)}''')





