





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:
      UpperCAmelCase_       : List[str]							=    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 						UpperCAmelCase__		(						self    ):
       lowerCAmelCase_       :							str			 =		tempfile.mkdtemp()

       lowerCAmelCase_       :							Optional[Any]			 =		PixaStructImageProcessor()
       lowerCAmelCase_       :							str			 =		TaTokenizer.from_pretrained("""t5-small"""    )

       lowerCAmelCase_       :							Dict			 =		PixaStructProcessor(_lowercase     ,    _lowercase    )

       processor.save_pretrained(self.tmpdirname    )







  def 						UpperCAmelCase__		(						self     ,    **_lowercase    ):
       return AutoProcessor.from_pretrained(self.tmpdirname     ,    **_lowercase    ).tokenizer







  def 						UpperCAmelCase__		(						self     ,    **_lowercase    ):
       return AutoProcessor.from_pretrained(self.tmpdirname     ,    **_lowercase    ).image_processor







  def 						UpperCAmelCase__		(						self    ):
       shutil.rmtree(self.tmpdirname    )







  def 						UpperCAmelCase__		(						self    ):
       lowerCAmelCase_       :							Any			 =		[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 						UpperCAmelCase__		(						self    ):
       lowerCAmelCase_       :							Dict			 =		PixaStructProcessor(tokenizer=self.get_tokenizer()     ,    image_processor=self.get_image_processor()    )
       processor.save_pretrained(self.tmpdirname    )

       lowerCAmelCase_       :							Union[str, Any]			 =		self.get_tokenizer(bos_token="""(BOS)"""     ,    eos_token="""(EOS)"""    )
       lowerCAmelCase_       :							Optional[Any]			 =		self.get_image_processor(do_normalize=_lowercase     ,    padding_value=1.0    )

       lowerCAmelCase_       :							List[str]			 =		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    ):
       lowerCAmelCase_       :							Tuple			 =		self.get_image_processor()
       lowerCAmelCase_       :							Optional[int]			 =		self.get_tokenizer()

       lowerCAmelCase_       :							str			 =		PixaStructProcessor(tokenizer=_lowercase     ,    image_processor=_lowercase    )

       lowerCAmelCase_       :							Tuple			 =		self.prepare_image_inputs()

       lowerCAmelCase_       :							Union[str, Any]			 =		image_processor(_lowercase     ,    return_tensors="""np"""    )
       lowerCAmelCase_       :							Any			 =		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    ):
       lowerCAmelCase_       :							Dict			 =		self.get_image_processor()
       lowerCAmelCase_       :							List[Any]			 =		self.get_tokenizer()

       lowerCAmelCase_       :							List[Any]			 =		PixaStructProcessor(tokenizer=_lowercase     ,    image_processor=_lowercase    )

       lowerCAmelCase_       :							Union[str, Any]			 =		"""lower newer"""

       lowerCAmelCase_       :							Union[str, Any]			 =		processor(text=_lowercase    )

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

       lowerCAmelCase_       :							Optional[Any]			 =		PixaStructProcessor(tokenizer=_lowercase     ,    image_processor=_lowercase    )

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

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

       lowerCAmelCase_       :							int			 =		PixaStructProcessor(tokenizer=_lowercase     ,    image_processor=_lowercase    )

       lowerCAmelCase_       :							Optional[int]			 =		"""lower newer"""
       lowerCAmelCase_       :							Dict			 =		self.prepare_image_inputs()

       lowerCAmelCase_       :							int			 =		processor(text=_lowercase     ,    images=_lowercase    )

       lowerCAmelCase_       :							List[Any]			 =		[512, 1_024, 2_048, 4_096]
       lowerCAmelCase_       :							List[str]			 =		[770, 770, 770, 770]
       # with text
       for i, max_patch in enumerate(_lowercase    ):
            lowerCAmelCase_       :							Optional[int]			 =		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_       :							Optional[int]			 =		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    ):
       lowerCAmelCase_       :							List[str]			 =		self.get_image_processor()
       lowerCAmelCase_       :							Tuple			 =		self.get_tokenizer()

       lowerCAmelCase_       :							Optional[int]			 =		PixaStructProcessor(tokenizer=_lowercase     ,    image_processor=_lowercase    )

       lowerCAmelCase_       :							Any			 =		[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

       lowerCAmelCase_       :							str			 =		processor.batch_decode(_lowercase    )
       lowerCAmelCase_       :							Any			 =		tokenizer.batch_decode(_lowercase    )

       self.assertListEqual(_lowercase     ,    _lowercase    )







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

       lowerCAmelCase_       :							str			 =		PixaStructProcessor(tokenizer=_lowercase     ,    image_processor=_lowercase    )

       lowerCAmelCase_       :							Optional[Any]			 =		"""lower newer"""
       lowerCAmelCase_       :							Union[str, Any]			 =		self.prepare_image_inputs()

       lowerCAmelCase_       :							List[Any]			 =		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_       :							List[str]			 =		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"""]    )







def 				_lowerCAmelCase			(	_a :       str      )						->      int:
     lowerCAmelCase_       :							Dict			 =		0
     for plain_chr in plain_text:
          lowerCAmelCase_       :							List[Any]			 =		(
              ord(_a      ) + (hash_value << 6) + (hash_value << 16) - hash_value
          )
     return hash_value
