





"""simple docstring"""


import json
import os
import shutil
import tempfile
import unittest

from transformers.models.wavaveca import WavaVecaCTCTokenizer, WavaVecaFeatureExtractor, WavaVecaProcessor
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_wavaveca import floats_list



class    lowercase_ (   unittest.TestCase							):

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

        snake_case__										= "<pad> <s> </s> <unk> | E T A O N I H S R D L U M W C F G Y P B V K ' X J Q Z".split(" "   )
        snake_case__										= dict(zip(__SCREAMING_SNAKE_CASE      ,    range(len(__SCREAMING_SNAKE_CASE   )   )   )   )

        snake_case__										= {
            "pad_token": "<pad>",
            "unk_token": "<unk>",
            "bos_token": "<s>",
            "eos_token": "</s>",
        }
        snake_case__										= {
            "feature_size": 1,
            "padding_value": 0.0,
            "sampling_rate": 1_6000,
            "return_attention_mask": False,
            "do_normalize": True,
        }

        snake_case__										= tempfile.mkdtemp()
        snake_case__										= os.path.join(self.tmpdirname      ,    VOCAB_FILES_NAMES["vocab_file"]   )
        snake_case__										= os.path.join(self.tmpdirname      ,    __SCREAMING_SNAKE_CASE   )
        with open(self.vocab_file      ,    "w"      ,    encoding="utf-8"   ) as fp:
         fp.write(json.dumps(__SCREAMING_SNAKE_CASE   ) + "\n"   )

        with open(self.feature_extraction_file      ,    "w"      ,    encoding="utf-8"   ) as fp:
         fp.write(json.dumps(__SCREAMING_SNAKE_CASE   ) + "\n"   )

       def 						_SCREAMING_SNAKE_CASE(	self      ,    **__SCREAMING_SNAKE_CASE   ):






        '''simple docstring'''

        snake_case__										= self.add_kwargs_tokens_map.copy()
        kwargs.update(__SCREAMING_SNAKE_CASE   )
        return WavaVecaCTCTokenizer.from_pretrained(self.tmpdirname      ,    **__SCREAMING_SNAKE_CASE   )

       def 						_SCREAMING_SNAKE_CASE(	self      ,    **__SCREAMING_SNAKE_CASE   ):






        '''simple docstring'''

        return WavaVecaFeatureExtractor.from_pretrained(self.tmpdirname      ,    **__SCREAMING_SNAKE_CASE   )

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

        shutil.rmtree(self.tmpdirname   )

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

        snake_case__										= self.get_tokenizer()
        snake_case__										= self.get_feature_extractor()

        snake_case__										= WavaVecaProcessor(tokenizer=__SCREAMING_SNAKE_CASE      ,    feature_extractor=__SCREAMING_SNAKE_CASE   )

        processor.save_pretrained(self.tmpdirname   )
        snake_case__										= WavaVecaProcessor.from_pretrained(self.tmpdirname   )

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

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

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

        snake_case__										= WavaVecaProcessor(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=__SCREAMING_SNAKE_CASE      ,    padding_value=1.0   )

        snake_case__										= WavaVecaProcessor.from_pretrained(
            self.tmpdirname      ,    bos_token="(BOS)"      ,    eos_token="(EOS)"      ,    do_normalize=__SCREAMING_SNAKE_CASE      ,    padding_value=1.0   )

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

        self.assertEqual(processor.feature_extractor.to_json_string()      ,    feature_extractor_add_kwargs.to_json_string()   )
        self.assertIsInstance(processor.feature_extractor      ,    __SCREAMING_SNAKE_CASE   )

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

        snake_case__										= self.get_feature_extractor()
        snake_case__										= self.get_tokenizer()

        snake_case__										= WavaVecaProcessor(tokenizer=__SCREAMING_SNAKE_CASE      ,    feature_extractor=__SCREAMING_SNAKE_CASE   )

        snake_case__										= floats_list((3, 1000)   )

        snake_case__										= feature_extractor(__SCREAMING_SNAKE_CASE      ,    return_tensors="np"   )
        snake_case__										= processor(__SCREAMING_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   ):






        '''simple docstring'''

        snake_case__										= self.get_feature_extractor()
        snake_case__										= self.get_tokenizer()

        snake_case__										= WavaVecaProcessor(tokenizer=__SCREAMING_SNAKE_CASE      ,    feature_extractor=__SCREAMING_SNAKE_CASE   )

        snake_case__										= "This is a test string"

        snake_case__										= processor(text=__SCREAMING_SNAKE_CASE   )

        snake_case__										= tokenizer(__SCREAMING_SNAKE_CASE   )

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

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

        snake_case__										= self.get_feature_extractor()
        snake_case__										= self.get_tokenizer()

        snake_case__										= WavaVecaProcessor(tokenizer=__SCREAMING_SNAKE_CASE      ,    feature_extractor=__SCREAMING_SNAKE_CASE   )

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

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

        self.assertListEqual(__SCREAMING_SNAKE_CASE      ,    __SCREAMING_SNAKE_CASE   )

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

        snake_case__										= self.get_feature_extractor()
        snake_case__										= self.get_tokenizer()

        snake_case__										= WavaVecaProcessor(tokenizer=__SCREAMING_SNAKE_CASE      ,    feature_extractor=__SCREAMING_SNAKE_CASE   )

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








"""simple docstring"""


import random
import sys

from . import cryptomath_module as cryptomath

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





def 							a__	(     _UpperCAmelCase		,   _UpperCAmelCase		,   _UpperCAmelCase		)			->     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(_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 							a__	(     _UpperCAmelCase		,   _UpperCAmelCase		)			->     str:

 '''simple docstring'''






 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 							a__	(     _UpperCAmelCase		,   _UpperCAmelCase		)			->     str:

 '''simple docstring'''






 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 							a__	(     )			->     int:

 '''simple docstring'''






 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 							a__	(     )			->     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(_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()

