





"""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:
       SCREAMING_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 		lowercase ( unittest.TestCase ):





      def    _snake_case      (	self			)		->					Union[str, Any]:
            lowerCAmelCase  						=	tempfile.mkdtemp()

            lowerCAmelCase  						=	PixaStructImageProcessor()
            lowerCAmelCase  						=	TaTokenizer.from_pretrained("""t5-small"""			)

            lowerCAmelCase  						=	PixaStructProcessor(__lowercase				,						__lowercase			)

            processor.save_pretrained(self.tmpdirname			)





      def    _snake_case      (	self				,						**lowercase			)		->					str:
            return AutoProcessor.from_pretrained(self.tmpdirname				,						**__lowercase			).tokenizer





      def    _snake_case      (	self				,						**lowercase			)		->					Any:
            return AutoProcessor.from_pretrained(self.tmpdirname				,						**__lowercase			).image_processor





      def    _snake_case      (	self			)		->					Any:
            shutil.rmtree(self.tmpdirname			)





      def    _snake_case      (	self			)		->					Tuple:
            lowerCAmelCase  						=	[np.random.randint(255				,						size=(3, 30, 400)				,						dtype=np.uinta			)]

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

            return image_inputs





      def    _snake_case      (	self			)		->					Union[str, Any]:
            lowerCAmelCase  						=	PixaStructProcessor(tokenizer=self.get_tokenizer()				,						image_processor=self.get_image_processor()			)
            processor.save_pretrained(self.tmpdirname			)

            lowerCAmelCase  						=	self.get_tokenizer(bos_token="""(BOS)"""				,						eos_token="""(EOS)"""			)
            lowerCAmelCase  						=	self.get_image_processor(do_normalize=__lowercase				,						padding_value=1.0			)

            lowerCAmelCase  						=	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    _snake_case      (	self			)		->					Optional[int]:
            lowerCAmelCase  						=	self.get_image_processor()
            lowerCAmelCase  						=	self.get_tokenizer()

            lowerCAmelCase  						=	PixaStructProcessor(tokenizer=__lowercase				,						image_processor=__lowercase			)

            lowerCAmelCase  						=	self.prepare_image_inputs()

            lowerCAmelCase  						=	image_processor(__lowercase				,						return_tensors="""np"""			)
            lowerCAmelCase  						=	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    _snake_case      (	self			)		->					int:
            lowerCAmelCase  						=	self.get_image_processor()
            lowerCAmelCase  						=	self.get_tokenizer()

            lowerCAmelCase  						=	PixaStructProcessor(tokenizer=__lowercase				,						image_processor=__lowercase			)

            lowerCAmelCase  						=	"""lower newer"""

            lowerCAmelCase  						=	processor(text=__lowercase			)

            lowerCAmelCase  						=	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    _snake_case      (	self			)		->					Union[str, Any]:
            lowerCAmelCase  						=	self.get_image_processor()
            lowerCAmelCase  						=	self.get_tokenizer()

            lowerCAmelCase  						=	PixaStructProcessor(tokenizer=__lowercase				,						image_processor=__lowercase			)

            lowerCAmelCase  						=	"""lower newer"""
            lowerCAmelCase  						=	self.prepare_image_inputs()

            lowerCAmelCase  						=	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    _snake_case      (	self			)		->					Any:
            lowerCAmelCase  						=	self.get_image_processor()
            lowerCAmelCase  						=	self.get_tokenizer()

            lowerCAmelCase  						=	PixaStructProcessor(tokenizer=__lowercase				,						image_processor=__lowercase			)

            lowerCAmelCase  						=	"""lower newer"""
            lowerCAmelCase  						=	self.prepare_image_inputs()

            lowerCAmelCase  						=	processor(text=__lowercase				,						images=__lowercase			)

            lowerCAmelCase  						=	[512, 1_024, 2_048, 4_096]
            lowerCAmelCase  						=	[770, 770, 770, 770]
            # with text
            for i, max_patch in enumerate(__lowercase			):
                  lowerCAmelCase  						=	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			):
                  lowerCAmelCase  						=	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    _snake_case      (	self			)		->					int:
            lowerCAmelCase  						=	self.get_image_processor()
            lowerCAmelCase  						=	self.get_tokenizer()

            lowerCAmelCase  						=	PixaStructProcessor(tokenizer=__lowercase				,						image_processor=__lowercase			)

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

            lowerCAmelCase  						=	processor.batch_decode(__lowercase			)
            lowerCAmelCase  						=	tokenizer.batch_decode(__lowercase			)

            self.assertListEqual(__lowercase				,						__lowercase			)





      def    _snake_case      (	self			)		->					Tuple:
            lowerCAmelCase  						=	self.get_image_processor()
            lowerCAmelCase  						=	self.get_tokenizer()

            lowerCAmelCase  						=	PixaStructProcessor(tokenizer=__lowercase				,						image_processor=__lowercase			)

            lowerCAmelCase  						=	"""lower newer"""
            lowerCAmelCase  						=	self.prepare_image_inputs()

            lowerCAmelCase  						=	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"""]			)

            lowerCAmelCase  						=	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"""





def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int							,						SCREAMING_SNAKE_CASE					:						int      ):







      '''simple docstring'''




      lowerCAmelCase  						=	1.0
      for i in range(1							,						r + 1      ):
            ret *= (n + 1 - i) / i
      return round(SCREAMING_SNAKE_CASE      )


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int      ):







      '''simple docstring'''




      return choose(8 + n							,						SCREAMING_SNAKE_CASE      ) + choose(9 + n							,						SCREAMING_SNAKE_CASE      ) - 10


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int      ):







      '''simple docstring'''




      return sum(non_bouncy_exact(SCREAMING_SNAKE_CASE      ) for i in range(1							,						n + 1      )      )


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						int = 1_00      ):







      '''simple docstring'''




      return non_bouncy_upto(SCREAMING_SNAKE_CASE      )


if __name__ == "__main__":
       print(f'{solution() = }')






