


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:
      _A	  =					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 lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       tempfile.mkdtemp()

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

        UpperCamelCase_							       =       PixaStructProcessor(snake_case_     ,	snake_case_     )

        processor.save_pretrained(self.tmpdirname     )

 def lowerCamelCase_				(      self     ,	**__UpperCamelCase     ):




        """simple docstring"""


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

 def lowerCamelCase_				(      self     ,	**__UpperCamelCase     ):




        """simple docstring"""


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

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        shutil.rmtree(self.tmpdirname     )

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       [np.random.randint(2_5_5     ,	size=(3, 3_0, 4_0_0)     ,	dtype=np.uinta     )]

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

        return image_inputs

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        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=snake_case_     ,	padding_value=1.0     )

        UpperCamelCase_							       =       PixaStructProcessor.from_pretrained(
            self.tmpdirname     ,	bos_token="""(BOS)"""     ,	eos_token="""(EOS)"""     ,	do_normalize=snake_case_     ,	padding_value=1.0     )

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

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

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.get_image_processor()
        UpperCamelCase_							       =       self.get_tokenizer()

        UpperCamelCase_							       =       PixaStructProcessor(tokenizer=snake_case_     ,	image_processor=snake_case_     )

        UpperCamelCase_							       =       self.prepare_image_inputs()

        UpperCamelCase_							       =       image_processor(snake_case_     ,	return_tensors="""np"""     )
        UpperCamelCase_							       =       processor(images=snake_case_     ,	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 lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.get_image_processor()
        UpperCamelCase_							       =       self.get_tokenizer()

        UpperCamelCase_							       =       PixaStructProcessor(tokenizer=snake_case_     ,	image_processor=snake_case_     )

        UpperCamelCase_							       =       '''lower newer'''

        UpperCamelCase_							       =       processor(text=snake_case_     )

        UpperCamelCase_							       =       tokenizer(snake_case_     ,	return_token_type_ids=snake_case_     ,	add_special_tokens=snake_case_     )

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

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.get_image_processor()
        UpperCamelCase_							       =       self.get_tokenizer()

        UpperCamelCase_							       =       PixaStructProcessor(tokenizer=snake_case_     ,	image_processor=snake_case_     )

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

        UpperCamelCase_							       =       processor(text=snake_case_     ,	images=snake_case_     )

        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(snake_case_     ):
               processor()

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.get_image_processor()
        UpperCamelCase_							       =       self.get_tokenizer()

        UpperCamelCase_							       =       PixaStructProcessor(tokenizer=snake_case_     ,	image_processor=snake_case_     )

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

        UpperCamelCase_							       =       processor(text=snake_case_     ,	images=snake_case_     )

        UpperCamelCase_							       =       [5_1_2, 1_0_2_4, 2_0_4_8, 4_0_9_6]
        UpperCamelCase_							       =       [7_7_0, 7_7_0, 7_7_0, 7_7_0]
        # with text
        for i, max_patch in enumerate(snake_case_     ):
               UpperCamelCase_							       =       processor(text=snake_case_     ,	images=snake_case_     ,	max_patches=snake_case_     )
               self.assertEqual(inputs["""flattened_patches"""][0].shape[0]     ,	snake_case_     )
               self.assertEqual(inputs["""flattened_patches"""][0].shape[1]     ,	expected_hidden_size[i]     )

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

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.get_image_processor()
        UpperCamelCase_							       =       self.get_tokenizer()

        UpperCamelCase_							       =       PixaStructProcessor(tokenizer=snake_case_     ,	image_processor=snake_case_     )

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

        UpperCamelCase_							       =       processor.batch_decode(snake_case_     )
        UpperCamelCase_							       =       tokenizer.batch_decode(snake_case_     )

        self.assertListEqual(snake_case_     ,	snake_case_     )

 def lowerCamelCase_				(      self     ):




        """simple docstring"""


        UpperCamelCase_							       =       self.get_image_processor()
        UpperCamelCase_							       =       self.get_tokenizer()

        UpperCamelCase_							       =       PixaStructProcessor(tokenizer=snake_case_     ,	image_processor=snake_case_     )

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

        UpperCamelCase_							       =       processor(text=snake_case_     ,	images=snake_case_     )

        # 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=snake_case_     )

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





def 				lowerCamelCase__				(						a__  :  int     )		->	str:
       UpperCamelCase_							       =       1
       UpperCamelCase_							       =       0
       UpperCamelCase_							       =       1
       UpperCamelCase_							       =       1
       UpperCamelCase_							       =       3
       UpperCamelCase_							       =       3
       UpperCamelCase_							       =       limit
       UpperCamelCase_							       =       0

       UpperCamelCase_							       =       """"""
       while counter != decimal + 1:
              if 4 * q + r - t < n * t:
                     result += str(a__     )
                     if counter == 0:
                            result += "."

                     if decimal == counter:
                            break

                     counter += 1
                     UpperCamelCase_							       =       10 * (r - n * t)
                     UpperCamelCase_							       =       ((10 * (3 * q + r)) // t) - 10 * n
                     q *= 10
                     UpperCamelCase_							       =       nr
              else:
                     UpperCamelCase_							       =       (2 * q + r) * l
                     UpperCamelCase_							       =       (q * (7 * k) + 2 + (r * l)) // (t * l)
                     q *= k
                     t *= l
                     l += 2
                     k += 1
                     UpperCamelCase_							       =       nn
                     UpperCamelCase_							       =       nr
       return result




def 				lowerCamelCase__				(						)		->	None:
       print(f'''{calculate_pi(50     ) = }'''     )
       import doctest

       doctest.testmod()


if __name__ == "__main__":
      main()



