






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:
   lowerCamelCase					    =	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        snake_case_				(							unittest.TestCase   ):







   """simple docstring"""



   def       SCREAMING_SNAKE_CASE__					(     self:						int						)	->		Dict:


       """simple docstring"""



       _lowercase     			=						tempfile.mkdtemp()

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

       _lowercase     			=						PixaStructProcessor(snake_case__ ,							snake_case__						)

       processor.save_pretrained(self.tmpdirname						)

   def       SCREAMING_SNAKE_CASE__					(     self:						int ,							**snake_case__:						List[Any]						)	->		Union[str, Any]:


       """simple docstring"""



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

   def       SCREAMING_SNAKE_CASE__					(     self:						Optional[int] ,							**snake_case__:						str						)	->		str:


       """simple docstring"""



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

   def       SCREAMING_SNAKE_CASE__					(     self:						Dict						)	->		str:


       """simple docstring"""



       shutil.rmtree(self.tmpdirname						)

   def       SCREAMING_SNAKE_CASE__					(     self:						Union[str, Any]						)	->		Optional[Any]:


       """simple docstring"""



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

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

       return image_inputs

   def       SCREAMING_SNAKE_CASE__					(     self:						List[str]						)	->		List[str]:


       """simple docstring"""



       _lowercase     			=						PixaStructProcessor(tokenizer=self.get_tokenizer() ,							image_processor=self.get_image_processor()						)
       processor.save_pretrained(self.tmpdirname						)

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

       _lowercase     			=						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       SCREAMING_SNAKE_CASE__					(     self:						Optional[Any]						)	->		List[str]:


       """simple docstring"""



       _lowercase     			=						self.get_image_processor()
       _lowercase     			=						self.get_tokenizer()

       _lowercase     			=						PixaStructProcessor(tokenizer=snake_case__ ,							image_processor=snake_case__						)

       _lowercase     			=						self.prepare_image_inputs()

       _lowercase     			=						image_processor(snake_case__ ,							return_tensors='np'						)
       _lowercase     			=						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       SCREAMING_SNAKE_CASE__					(     self:						Dict						)	->		int:


       """simple docstring"""



       _lowercase     			=						self.get_image_processor()
       _lowercase     			=						self.get_tokenizer()

       _lowercase     			=						PixaStructProcessor(tokenizer=snake_case__ ,							image_processor=snake_case__						)

       _lowercase     			=						'lower newer'

       _lowercase     			=						processor(text=snake_case__						)

       _lowercase     			=						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       SCREAMING_SNAKE_CASE__					(     self:						int						)	->		Tuple:


       """simple docstring"""



       _lowercase     			=						self.get_image_processor()
       _lowercase     			=						self.get_tokenizer()

       _lowercase     			=						PixaStructProcessor(tokenizer=snake_case__ ,							image_processor=snake_case__						)

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

       _lowercase     			=						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       SCREAMING_SNAKE_CASE__					(     self:						List[Any]						)	->		Union[str, Any]:


       """simple docstring"""



       _lowercase     			=						self.get_image_processor()
       _lowercase     			=						self.get_tokenizer()

       _lowercase     			=						PixaStructProcessor(tokenizer=snake_case__ ,							image_processor=snake_case__						)

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

       _lowercase     			=						processor(text=snake_case__ ,							images=snake_case__						)

       _lowercase     			=						[512, 1_024, 2_048, 4_096]
       _lowercase     			=						[770, 770, 770, 770]
       # with text
       for i, max_patch in enumerate(snake_case__						):
           _lowercase     			=						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__						):
           _lowercase     			=						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       SCREAMING_SNAKE_CASE__					(     self:						List[Any]						)	->		int:


       """simple docstring"""



       _lowercase     			=						self.get_image_processor()
       _lowercase     			=						self.get_tokenizer()

       _lowercase     			=						PixaStructProcessor(tokenizer=snake_case__ ,							image_processor=snake_case__						)

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

       _lowercase     			=						processor.batch_decode(snake_case__						)
       _lowercase     			=						tokenizer.batch_decode(snake_case__						)

       self.assertListEqual(snake_case__ ,							snake_case__						)

   def       SCREAMING_SNAKE_CASE__					(     self:						Dict						)	->		List[str]:


       """simple docstring"""



       _lowercase     			=						self.get_image_processor()
       _lowercase     			=						self.get_tokenizer()

       _lowercase     			=						PixaStructProcessor(tokenizer=snake_case__ ,							image_processor=snake_case__						)

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

       _lowercase     			=						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']						)

       _lowercase     			=						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']						)








from typing import Literal

lowerCamelCase					    =	'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''
def 							UpperCAmelCase   ( _lowercase,   _lowercase,   _lowercase   ):


    '''simple docstring'''



    _lowercase     			=						LETTERS if mode == 'decrypt' else key
    _lowercase     			=						key if mode == 'decrypt' else LETTERS
    _lowercase     			=						''
    # loop through each symbol in the message
    for symbol in message:
        if symbol.upper() in chars_a:
            # encrypt/decrypt the symbol
            _lowercase     			=						chars_a.find(symbol.upper()   )
            if symbol.isupper():
                translated += chars_b[sym_index].upper()
            else:
                translated += chars_b[sym_index].lower()
        else:
            # symbol is not in LETTERS, just add it
            translated += symbol
    return translated
def 							UpperCAmelCase   ( _lowercase,   _lowercase   ):


    '''simple docstring'''



    return translate_message(_lowercase,   _lowercase,   'encrypt'   )
def 							UpperCAmelCase   ( _lowercase,   _lowercase   ):


    '''simple docstring'''



    return translate_message(_lowercase,   _lowercase,   'decrypt'   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _lowercase     			=						'Hello World'
    _lowercase     			=						'QWERTYUIOPASDFGHJKLZXCVBNM'
    _lowercase     			=						'decrypt'  # set to 'encrypt' or 'decrypt'

    if mode == "encrypt":
        _lowercase     			=						encrypt_message(_lowercase,   _lowercase   )
    elif mode == "decrypt":
        _lowercase     			=						decrypt_message(_lowercase,   _lowercase   )
    print(f'''Using the key {key}, the {mode}ed message is: {translated}'''   )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()
