


import random
import sys

from . import cryptomath_module as cryptomath

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



def 			_lowerCAmelCase						(							lowerCAmelCase_							:int		,						lowerCAmelCase_							:int		,						lowerCAmelCase_							:str							)->None:
   '''simple docstring'''






   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(lowerCAmelCase_							) - 1:
      sys.exit(
          "Key A must be greater than 0 and key B must "
          F'''be between 0 and {len(lowerCAmelCase_							) - 1}.'''							)
   if cryptomath.gcd(lowerCAmelCase_		,						len(lowerCAmelCase_							)							) != 1:
      sys.exit(
          F'''Key A {key_a} and the symbol set size {len(lowerCAmelCase_							)} '''
          "are not relatively prime. Choose a different key."							)



def 			_lowerCAmelCase						(							lowerCAmelCase_							:int		,						lowerCAmelCase_							:str							)->str:
   '''simple docstring'''






   snake_case_    ,    snake_case_					    =					divmod(lowerCAmelCase_		,						len(lowerCAmelCase_							)							)
   check_keys(lowerCAmelCase_		,						lowerCAmelCase_		,						"encrypt"							)
   snake_case_					    =					""
   for symbol in message:
      if symbol in SYMBOLS:
         snake_case_					    =					SYMBOLS.find(lowerCAmelCase_							)
         cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(lowerCAmelCase_							)]
      else:
         cipher_text += symbol
   return cipher_text



def 			_lowerCAmelCase						(							lowerCAmelCase_							:int		,						lowerCAmelCase_							:str							)->str:
   '''simple docstring'''






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



def 			_lowerCAmelCase						(							)->int:
   '''simple docstring'''






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



def 			_lowerCAmelCase						(							)->None:
   '''simple docstring'''






   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(lowerCAmelCase_		,						lowerCAmelCase_							)
   elif mode.startswith("d"							):
      snake_case_					    =					"decrypt"
      snake_case_					    =					decrypt_message(lowerCAmelCase_		,						lowerCAmelCase_							)
   print(F'''\n{mode.title()}ed text: \n{translated}'''							)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # main()








import random
import shutil
import tempfile
import unittest

import numpy as np

from transformers import TaTokenizer, TaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torch
from transformers.utils.import_utils import is_speech_available, is_torch_available


if is_torch_available():
   pass

if is_speech_available():
   from transformers import EncodecFeatureExtractor, MusicgenProcessor


SCREAMING_SNAKE_CASE	:Union[str, Any]  		=     random.Random()



def 			_lowerCAmelCase						(							lowerCAmelCase_							:Union[str, Any]		,						lowerCAmelCase_							:Optional[int]=1.0		,						lowerCAmelCase_							:List[str]=None		,						lowerCAmelCase_							:str=None							)->Union[str, Any]:
   '''simple docstring'''






   if rng is None:
      snake_case_					    =					global_rng

   snake_case_					    =					[]
   for batch_idx in range(shape[0]							):
      values.append([]							)
      for _ in range(shape[1]							):
         values[-1].append(rng.random() * scale							)

   return values



@require_torch
@require_sentencepiece
class     __lowerCAmelCase     ( unittest.TestCase					):






  """simple docstring"""





  def 					lowerCAmelCase__  (     self       :       List[str]  )   -> List[Any]:




     """simple docstring"""
     snake_case_					    =					"facebook/musicgen-small"
     snake_case_					    =					tempfile.mkdtemp()



  def 					lowerCAmelCase__  (     self       :       Tuple    ,				**_lowerCAmelCase       :       Tuple  )   -> Optional[int]:




     """simple docstring"""
     return TaTokenizer.from_pretrained(self.checkpoint    ,				**_lowerCAmelCase  )



  def 					lowerCAmelCase__  (     self       :       Union[str, Any]    ,				**_lowerCAmelCase       :       Union[str, Any]  )   -> int:




     """simple docstring"""
     return EncodecFeatureExtractor.from_pretrained(self.checkpoint    ,				**_lowerCAmelCase  )



  def 					lowerCAmelCase__  (     self       :       Optional[Any]  )   -> Optional[int]:




     """simple docstring"""
     shutil.rmtree(self.tmpdirname  )



  def 					lowerCAmelCase__  (     self       :       int  )   -> List[Any]:




     """simple docstring"""
     snake_case_					    =					self.get_tokenizer()
     snake_case_					    =					self.get_feature_extractor()

     snake_case_					    =					MusicgenProcessor(tokenizer=_lowerCAmelCase    ,				feature_extractor=_lowerCAmelCase  )

     processor.save_pretrained(self.tmpdirname  )
     snake_case_					    =					MusicgenProcessor.from_pretrained(self.tmpdirname  )

     self.assertEqual(processor.tokenizer.get_vocab()    ,				tokenizer.get_vocab()  )
     self.assertIsInstance(processor.tokenizer    ,				_lowerCAmelCase  )

     self.assertEqual(processor.feature_extractor.to_json_string()    ,				feature_extractor.to_json_string()  )
     self.assertIsInstance(processor.feature_extractor    ,				_lowerCAmelCase  )



  def 					lowerCAmelCase__  (     self       :       Optional[Any]  )   -> Tuple:




     """simple docstring"""
     snake_case_					    =					MusicgenProcessor(tokenizer=self.get_tokenizer()    ,				feature_extractor=self.get_feature_extractor()  )
     processor.save_pretrained(self.tmpdirname  )

     snake_case_					    =					self.get_tokenizer(bos_token="(BOS)"    ,				eos_token="(EOS)"  )
     snake_case_					    =					self.get_feature_extractor(do_normalize=_lowerCAmelCase    ,				padding_value=1.0  )

     snake_case_					    =					MusicgenProcessor.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.feature_extractor.to_json_string()    ,				feature_extractor_add_kwargs.to_json_string()  )
     self.assertIsInstance(processor.feature_extractor    ,				_lowerCAmelCase  )



  def 					lowerCAmelCase__  (     self       :       List[str]  )   -> Optional[Any]:




     """simple docstring"""
     snake_case_					    =					self.get_feature_extractor()
     snake_case_					    =					self.get_tokenizer()

     snake_case_					    =					MusicgenProcessor(tokenizer=_lowerCAmelCase    ,				feature_extractor=_lowerCAmelCase  )

     snake_case_					    =					floats_list((3, 1_0_0_0)  )

     snake_case_					    =					feature_extractor(_lowerCAmelCase    ,				return_tensors="np"  )
     snake_case_					    =					processor(_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 					lowerCAmelCase__  (     self       :       Tuple  )   -> List[Any]:




     """simple docstring"""
     snake_case_					    =					self.get_feature_extractor()
     snake_case_					    =					self.get_tokenizer()

     snake_case_					    =					MusicgenProcessor(tokenizer=_lowerCAmelCase    ,				feature_extractor=_lowerCAmelCase  )

     snake_case_					    =					"This is a test string"

     snake_case_					    =					processor(text=_lowerCAmelCase  )

     snake_case_					    =					tokenizer(_lowerCAmelCase  )

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



  def 					lowerCAmelCase__  (     self       :       Any  )   -> str:




     """simple docstring"""
     snake_case_					    =					self.get_feature_extractor()
     snake_case_					    =					self.get_tokenizer()

     snake_case_					    =					MusicgenProcessor(tokenizer=_lowerCAmelCase    ,				feature_extractor=_lowerCAmelCase  )

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

     snake_case_					    =					processor.batch_decode(sequences=_lowerCAmelCase  )
     snake_case_					    =					tokenizer.batch_decode(_lowerCAmelCase  )

     self.assertListEqual(_lowerCAmelCase    ,				_lowerCAmelCase  )



  def 					lowerCAmelCase__  (     self       :       Optional[int]  )   -> Dict:




     """simple docstring"""
     snake_case_					    =					self.get_feature_extractor()
     snake_case_					    =					self.get_tokenizer()

     snake_case_					    =					MusicgenProcessor(tokenizer=_lowerCAmelCase    ,				feature_extractor=_lowerCAmelCase  )

     self.assertListEqual(
         processor.model_input_names    ,				feature_extractor.model_input_names    ,				msg="`processor` and `feature_extractor` model input names do not match"    ,				)



  def 					lowerCAmelCase__  (     self       :       Tuple  )   -> int:




     """simple docstring"""
     snake_case_					    =					self.get_feature_extractor(padding_side="left"  )
     snake_case_					    =					self.get_tokenizer()

     snake_case_					    =					MusicgenProcessor(tokenizer=_lowerCAmelCase    ,				feature_extractor=_lowerCAmelCase  )

     snake_case_					    =					[floats_list((1, x)  )[0] for x in range(5    ,				2_0    ,				5  )]
     snake_case_					    =					processor(_lowerCAmelCase  ).padding_mask

     snake_case_					    =					np.asarray(floats_list((3, 2_0)  )  )[:, None, :]
     snake_case_					    =					processor.batch_decode(_lowerCAmelCase    ,				padding_mask=_lowerCAmelCase  )

     self.assertIsInstance(_lowerCAmelCase    ,				_lowerCAmelCase  )

     for audio in decoded_audios:
        self.assertIsInstance(_lowerCAmelCase    ,				np.ndarray  )

     self.assertTrue(decoded_audios[0].shape == (1, 1_0)  )
     self.assertTrue(decoded_audios[1].shape == (1, 1_5)  )
     self.assertTrue(decoded_audios[2].shape == (1, 2_0)  )




