import unittest

import numpy as np

from transformers import BlipTextConfig
from transformers.testing_utils import require_torch, slow, torch_device
from transformers.utils import is_torch_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask


if is_torch_available():
    import torch

    from transformers import BlipTextModel
    from transformers.models.blip.modeling_blip import BLIP_PRETRAINED_MODEL_ARCHIVE_LIST
class 							a_					:






 '''simple docstring'''






 def __init__(     self   :    Tuple     ,       lowercase__   :    Tuple     ,       lowercase__   :    Any=12     ,       lowercase__   :    str=7     ,       lowercase__   :    Dict=True     ,       lowercase__   :    Any=True     ,       lowercase__   :    str=True     ,       lowercase__   :    Dict=99     ,       lowercase__   :    Tuple=32     ,       lowercase__   :    List[Any]=32     ,       lowercase__   :    List[Any]=5     ,       lowercase__   :    List[str]=4     ,       lowercase__   :    List[str]=37     ,       lowercase__   :    str=0.1     ,       lowercase__   :    Optional[Any]=0.1     ,       lowercase__   :    int=512     ,       lowercase__   :    int=0.02     ,       lowercase__   :    List[Any]=0     ,       lowercase__   :    Optional[int]=None     ,       ):







        '''simple docstring'''



        lowerCAmelCase__	      =   parent
        lowerCAmelCase__	      =   batch_size
        lowerCAmelCase__	      =   seq_length
        lowerCAmelCase__	      =   is_training
        lowerCAmelCase__	      =   use_input_mask
        lowerCAmelCase__	      =   use_labels
        lowerCAmelCase__	      =   vocab_size
        lowerCAmelCase__	      =   hidden_size
        lowerCAmelCase__	      =   projection_dim
        lowerCAmelCase__	      =   num_hidden_layers
        lowerCAmelCase__	      =   num_attention_heads
        lowerCAmelCase__	      =   intermediate_size
        lowerCAmelCase__	      =   dropout
        lowerCAmelCase__	      =   attention_dropout
        lowerCAmelCase__	      =   max_position_embeddings
        lowerCAmelCase__	      =   initializer_range
        lowerCAmelCase__	      =   scope
        lowerCAmelCase__	      =   bos_token_id




 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ids_tensor([self.batch_size, self.seq_length]     ,       self.vocab_size)

        lowerCAmelCase__	      =   None
        if self.use_input_mask:
               lowerCAmelCase__	      =   random_attention_mask([self.batch_size, self.seq_length])

        if input_mask is not None:
               lowerCAmelCase__      ,   lowerCAmelCase__	      =   input_mask.shape
               lowerCAmelCase__	      =   np.random.randint(1     ,       seq_length - 1     ,       size=(batch_size,))
               for batch_idx, start_index in enumerate(_lowercase):
                      lowerCAmelCase__	      =   1
                      lowerCAmelCase__	      =   0

        lowerCAmelCase__	      =   self.get_config()

        return config, input_ids, input_mask




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        return BlipTextConfig(
            vocab_size=self.vocab_size     ,       hidden_size=self.hidden_size     ,       projection_dim=self.projection_dim     ,       num_hidden_layers=self.num_hidden_layers     ,       num_attention_heads=self.num_attention_heads     ,       intermediate_size=self.intermediate_size     ,       dropout=self.dropout     ,       attention_dropout=self.attention_dropout     ,       max_position_embeddings=self.max_position_embeddings     ,       initializer_range=self.initializer_range     ,       bos_token_id=self.bos_token_id     ,       )




 def 						__snake_case		(     self   :    Optional[int]     ,       lowercase__   :    Any     ,       lowercase__   :    int     ,       lowercase__   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   BlipTextModel(config=_lowercase)
        model.to(_lowercase)
        model.eval()
        with torch.no_grad():
               lowerCAmelCase__	      =   model(_lowercase     ,       attention_mask=_lowercase)
               lowerCAmelCase__	      =   model(_lowercase)
        self.parent.assertEqual(result.last_hidden_state.shape     ,       (self.batch_size, self.seq_length, self.hidden_size))
        self.parent.assertEqual(result.pooler_output.shape     ,       (self.batch_size, self.hidden_size))




 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        lowerCAmelCase__	      =   self.prepare_config_and_inputs()
        lowerCAmelCase__      ,   lowerCAmelCase__      ,   lowerCAmelCase__	      =   config_and_inputs
        lowerCAmelCase__	      =   {'input_ids': input_ids, 'attention_mask': input_mask}
        return config, inputs_dict






@require_torch
class 							a_					(		lowercase__			,	unittest.TestCase		):






 '''simple docstring'''






 UpperCAmelCase_      					=   (BlipTextModel,) if is_torch_available() else ()
 UpperCAmelCase_      					=   False
 UpperCAmelCase_      					=   False
 UpperCAmelCase_      					=   False




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   BlipTextModelTester(self)
        lowerCAmelCase__	      =   ConfigTester(self     ,       config_class=_lowercase     ,       hidden_size=37)




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        self.config_tester.run_common_tests()




 def 						__snake_case		(     self   :    str):







        '''simple docstring'''



        lowerCAmelCase__	      =   self.model_tester.prepare_config_and_inputs()
        self.model_tester.create_and_check_model(*_lowercase)




 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        pass




 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        pass




 @unittest.skip(reason='Blip does not use inputs_embeds')
 def 						__snake_case		(     self   :    Optional[int]):







        '''simple docstring'''



        pass




 @unittest.skip(reason='BlipTextModel has no base class and is not available in MODEL_MAPPING')
 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        pass




 @unittest.skip(reason='BlipTextModel has no base class and is not available in MODEL_MAPPING')
 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        pass




 @slow
 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        for model_name in BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
               lowerCAmelCase__	      =   BlipTextModel.from_pretrained(_lowercase)
               self.assertIsNotNone(_lowercase)




 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        super().test_pt_tf_model_equivalence(allow_missing_keys=_lowercase)

"""simple docstring"""


from typing import Literal

__UpperCamelCase       :    int         =		"ABCDEFGHIJKLMNOPQRSTUVWXYZ"


def   __UpperCAmelCase     (	_snake_case		:       str,				_snake_case		:       str,				_snake_case		:       Literal["encrypt", "decrypt"]       ):
   _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     (	_snake_case		:       str,				_snake_case		:       str       ):
   return translate_message(_snake_case,				_snake_case,				"encrypt"       )


def   __UpperCAmelCase     (	_snake_case		:       str,				_snake_case		:       str       ):
   return translate_message(_snake_case,				_snake_case,				"decrypt"       )


def   __UpperCAmelCase     (	):
   _lowercase							     =       "Hello World"
   _lowercase							     =       "QWERTYUIOPASDFGHJKLZXCVBNM"
   _lowercase							     =       "decrypt"  # set to 'encrypt' or 'decrypt'

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


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()