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								=    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 				UpperCamelCase      (       unittest.TestCase     ):







       def 	a_		(				self)   ->   Optional[Any]:
            snake_case_       =      tempfile.mkdtemp()

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

            snake_case_       =      PixaStructProcessor(lowerCAmelCase__,							lowerCAmelCase__)

            processor.save_pretrained(self.tmpdirname)







       def 	a_		(				self,							**lowerCAmelCase__)   ->   Union[str, Any]:
            return AutoProcessor.from_pretrained(self.tmpdirname,							**lowerCAmelCase__).tokenizer







       def 	a_		(				self,							**lowerCAmelCase__)   ->   Optional[int]:
            return AutoProcessor.from_pretrained(self.tmpdirname,							**lowerCAmelCase__).image_processor







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







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

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

            return image_inputs







       def 	a_		(				self)   ->   str:
            snake_case_       =      PixaStructProcessor(tokenizer=self.get_tokenizer(),							image_processor=self.get_image_processor())
            processor.save_pretrained(self.tmpdirname)

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

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

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

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







       def 	a_		(				self)   ->   List[Any]:
            snake_case_       =      self.get_image_processor()
            snake_case_       =      self.get_tokenizer()

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

            snake_case_       =      self.prepare_image_inputs()

            snake_case_       =      image_processor(lowerCAmelCase__,							return_tensors='np')
            snake_case_       =      processor(images=lowerCAmelCase__,							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 	a_		(				self)   ->   Optional[Any]:
            snake_case_       =      self.get_image_processor()
            snake_case_       =      self.get_tokenizer()

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

            snake_case_       =      'lower newer'

            snake_case_       =      processor(text=lowerCAmelCase__)

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

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







       def 	a_		(				self)   ->   Dict:
            snake_case_       =      self.get_image_processor()
            snake_case_       =      self.get_tokenizer()

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

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

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

            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(lowerCAmelCase__):
                 processor()







       def 	a_		(				self)   ->   str:
            snake_case_       =      self.get_image_processor()
            snake_case_       =      self.get_tokenizer()

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

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

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

            snake_case_       =      [512, 1024, 2048, 4096]
            snake_case_       =      [770, 770, 770, 770]
            # with text
            for i, max_patch in enumerate(lowerCAmelCase__):
                 snake_case_       =      processor(text=lowerCAmelCase__,							images=lowerCAmelCase__,							max_patches=lowerCAmelCase__)
                 self.assertEqual(inputs['flattened_patches'][0].shape[0],							lowerCAmelCase__)
                 self.assertEqual(inputs['flattened_patches'][0].shape[1],							expected_hidden_size[i])

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







       def 	a_		(				self)   ->   Dict:
            snake_case_       =      self.get_image_processor()
            snake_case_       =      self.get_tokenizer()

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

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

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

            self.assertListEqual(lowerCAmelCase__,							lowerCAmelCase__)







       def 	a_		(				self)   ->   int:
            snake_case_       =      self.get_image_processor()
            snake_case_       =      self.get_tokenizer()

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

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

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

            # 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'])

            snake_case_       =      processor(text=lowerCAmelCase__)

            # 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"""


import random
import sys

from . import cryptomath_module as cryptomath

__UpperCamelCase								=    (
    r''' !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`'''
    r'''abcdefghijklmnopqrstuvwxyz{|}~'''
)







def       UpperCAmelCase					(	UpperCAmelCase		,      UpperCAmelCase		,      UpperCAmelCase      )       ->   None:
     if mode == "encrypt":
          if key_a == 1:
               sys.exit(
                   'The affine cipher becomes weak when key '
                   'A is set to 1. Choose different key'      )
          if key_b == 0:
               sys.exit(
                   'The affine cipher becomes weak when key '
                   'B is set to 0. Choose different key'      )
     if key_a < 0 or key_b < 0 or key_b > len(UpperCAmelCase      ) - 1:
          sys.exit(
              'Key A must be greater than 0 and key B must '
              f'be between 0 and {len(UpperCAmelCase      ) - 1}.'      )
     if cryptomath.gcd(UpperCAmelCase		,      len(UpperCAmelCase      )      ) != 1:
          sys.exit(
              f'Key A {key_a} and the symbol set size {len(UpperCAmelCase      )} '
              'are not relatively prime. Choose a different key.'      )







def       UpperCAmelCase					(	UpperCAmelCase		,      UpperCAmelCase      )       ->   str:
     snake_case_ ,			snake_case_       =      divmod(UpperCAmelCase		,      len(UpperCAmelCase      )      )
     check_keys(UpperCAmelCase		,      UpperCAmelCase		,      'encrypt'      )
     snake_case_       =      ''
     for symbol in message:
          if symbol in SYMBOLS:
               snake_case_       =      SYMBOLS.find(UpperCAmelCase      )
               cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(UpperCAmelCase      )]
          else:
               cipher_text += symbol
     return cipher_text







def       UpperCAmelCase					(	UpperCAmelCase		,      UpperCAmelCase      )       ->   str:
     snake_case_ ,			snake_case_       =      divmod(UpperCAmelCase		,      len(UpperCAmelCase      )      )
     check_keys(UpperCAmelCase		,      UpperCAmelCase		,      'decrypt'      )
     snake_case_       =      ''
     snake_case_       =      cryptomath.find_mod_inverse(UpperCAmelCase		,      len(UpperCAmelCase      )      )
     for symbol in message:
          if symbol in SYMBOLS:
               snake_case_       =      SYMBOLS.find(UpperCAmelCase      )
               plain_text += SYMBOLS[
                   (sym_index - key_b) * mod_inverse_of_key_a % len(UpperCAmelCase      )
               ]
          else:
               plain_text += symbol
     return plain_text







def       UpperCAmelCase					(	)       ->   int:
     while True:
          snake_case_       =      random.randint(2		,      len(UpperCAmelCase      )      )
          snake_case_       =      random.randint(2		,      len(UpperCAmelCase      )      )
          if cryptomath.gcd(UpperCAmelCase		,      len(UpperCAmelCase      )      ) == 1 and key_b % len(UpperCAmelCase      ) != 0:
               return key_b * len(UpperCAmelCase      ) + key_b







def       UpperCAmelCase					(	)       ->   None:
     snake_case_       =      input('Enter message: '      ).strip()
     snake_case_       =      int(input('Enter key [2000 - 9000]: '      ).strip()      )
     snake_case_       =      input('Encrypt/Decrypt [E/D]: '      ).strip().lower()

     if mode.startswith('e'      ):
          snake_case_       =      'encrypt'
          snake_case_       =      encrypt_message(UpperCAmelCase		,      UpperCAmelCase      )
     elif mode.startswith('d'      ):
          snake_case_       =      'decrypt'
          snake_case_       =      decrypt_message(UpperCAmelCase		,      UpperCAmelCase      )
     print(f'\n{mode.title()}ed text: \n{translated}'      )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    # main()

