



"""simple docstring"""






import os
import sys

from . import rsa_key_generator as rkg

_lowercase					:					List[Any] 		=		1_2_8
_lowercase					:					Union[str, Any] 		=		2_5_6






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[int]						      =message.encode('''ascii'''      )

			lowerCamelCase__						:						Dict						      =[]
			for block_start in range(0				,						len(__lowerCamelCase      )				,						__lowerCamelCase      ):
						lowerCamelCase__						:						List[Any]						      =0
						for i in range(__lowerCamelCase				,						min(block_start + block_size				,						len(__lowerCamelCase      )      )      ):
									block_int += message_bytes[i] * (BYTE_SIZE ** (i % block_size))
						block_ints.append(__lowerCamelCase      )
			return block_ints






def 	snake_case__  (						__lowerCamelCase							:       list[int]				,						__lowerCamelCase							:       int				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						list[str]						      =[]
			for block_int in block_ints:
						lowerCamelCase__						:						list[str]						      =[]
						for i in range(block_size - 1				,						-1				,						-1      ):
									if len(__lowerCamelCase      ) + i < message_length:
												lowerCamelCase__						:						List[str]						      =block_int // (BYTE_SIZE**i)
												lowerCamelCase__						:						Optional[Any]						      =block_int % (BYTE_SIZE**i)
												block_message.insert(0				,						chr(__lowerCamelCase      )      )
						message.extend(__lowerCamelCase      )
			return "".join(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       tuple[int, int]				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						List[str]						      =[]
			lowerCamelCase__      ,  lowerCamelCase__						:						Union[str, Any]						      =key

			for block in get_blocks_from_text(__lowerCamelCase				,						__lowerCamelCase      ):
						encrypted_blocks.append(pow(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )      )
			return encrypted_blocks






def 	snake_case__  (						__lowerCamelCase							:       list[int]				,						__lowerCamelCase							:       int				,						__lowerCamelCase							:       tuple[int, int]				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE				,						):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[Any]						      =[]
			lowerCamelCase__      ,  lowerCamelCase__						:						Dict						      =key
			for block in encrypted_blocks:
						decrypted_blocks.append(pow(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )      )
			return get_text_from_blocks(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       str      ):
			"""simple docstring"""
			with open(__lowerCamelCase      ) as fo:
						lowerCamelCase__						:						List[str]						      =fo.read()
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						Dict						      =content.split(''','''      )
			return (int(__lowerCamelCase      ), int(__lowerCamelCase      ), int(__lowerCamelCase      ))






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE				,						):
			"""simple docstring"""
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						str						      =read_key_file(__lowerCamelCase      )
			if key_size < block_size * 8:
						sys.exit(
						    '''ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '''
						    '''requires the block size to be equal to or greater than the key size. '''
						    '''Either decrease the block size or use different keys.'''.format(
						        block_size * 8				,						__lowerCamelCase      )      )

			lowerCamelCase__						:						str						      =[str(__lowerCamelCase      ) for i in encrypt_message(__lowerCamelCase				,						(n, e)				,						__lowerCamelCase      )]

			lowerCamelCase__						:						Tuple						      =''','''.join(__lowerCamelCase      )
			lowerCamelCase__						:						Union[str, Any]						      =f'''{len(__lowerCamelCase      )}_{block_size}_{encrypted_content}'''
			with open(__lowerCamelCase				,						'''w'''      ) as fo:
						fo.write(__lowerCamelCase      )
			return encrypted_content






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str      ):
			"""simple docstring"""
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						Tuple						      =read_key_file(__lowerCamelCase      )
			with open(__lowerCamelCase      ) as fo:
						lowerCamelCase__						:						Dict						      =fo.read()
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						int						      =content.split('''_'''      )
			lowerCamelCase__						:						Dict						      =int(__lowerCamelCase      )
			lowerCamelCase__						:						List[str]						      =int(__lowerCamelCase      )

			if key_size < block_size * 8:
						sys.exit(
						    '''ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '''
						    '''requires the block size to be equal to or greater than the key size. '''
						    '''Did you specify the correct key file and encrypted file?'''.format(
						        block_size * 8				,						__lowerCamelCase      )      )

			lowerCamelCase__						:						Optional[int]						      =[]
			for block in encrypted_message.split(''','''      ):
						encrypted_blocks.append(int(__lowerCamelCase      )      )

			return decrypt_message(__lowerCamelCase				,						__lowerCamelCase				,						(n, d)				,						__lowerCamelCase      )






def 	snake_case__  (						):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[Any]						      ='''encrypted_file.txt'''
			lowerCamelCase__						:						List[Any]						      =input(R'''Encrypt\Decrypt [e\d]: '''      )

			if response.lower().startswith('''e'''      ):
						lowerCamelCase__						:						Any						      ='''encrypt'''
			elif response.lower().startswith('''d'''      ):
						lowerCamelCase__						:						Dict						      ='''decrypt'''

			if mode == "encrypt":
						if not os.path.exists('''rsa_pubkey.txt'''      ):
									rkg.make_key_files('''rsa'''				,						1024      )

						lowerCamelCase__						:						Tuple						      =input('''\nEnter message: '''      )
						lowerCamelCase__						:						List[str]						      ='''rsa_pubkey.txt'''
						print(f'''Encrypting and writing to {filename}...'''      )
						lowerCamelCase__						:						List[Any]						      =encrypt_and_write_to_file(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )

						print('''\nEncrypted text:'''      )
						print(__lowerCamelCase      )

			elif mode == "decrypt":
						lowerCamelCase__						:						int						      ='''rsa_privkey.txt'''
						print(f'''Reading from {filename} and decrypting...'''      )
						lowerCamelCase__						:						Dict						      =read_from_file_and_decrypt(__lowerCamelCase				,						__lowerCamelCase      )
						print('''writing decryption to rsa_decryption.txt...'''      )
						with open('''rsa_decryption.txt'''				,						'''w'''      ) as dec:
									dec.write(__lowerCamelCase      )

						print('''\nDecryption:'''      )
						print(__lowerCamelCase      )


if __name__ == "__main__":
		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


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


def   a						(				SCREAMING_SNAKE_CASE_   :		Optional[Any]				,      SCREAMING_SNAKE_CASE_   :		Optional[Any]=1.0				,      SCREAMING_SNAKE_CASE_   :		Optional[Any]=None				,      SCREAMING_SNAKE_CASE_   :		Union[str, Any]=None							):






       """simple docstring"""





       if rng is None:
              UpperCamelCase     :						str 						=		global_rng

       UpperCamelCase     :						Union[str, Any] 						=		[]
       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  UpperCAmelCase_						(				unittest.TestCase):
       '''simple docstring'''






       def 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						int 						=		'''facebook/musicgen-small'''
              UpperCamelCase     :						str 						=		tempfile.mkdtemp()






       def 			_lowercase (  self			,       **__SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              return TaTokenizer.from_pretrained(self.checkpoint			,       **__SCREAMING_SNAKE_CASE    )






       def 			_lowercase (  self			,       **__SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              return EncodecFeatureExtractor.from_pretrained(self.checkpoint			,       **__SCREAMING_SNAKE_CASE    )






       def 			_lowercase (  self    ):




              """simple docstring"""




              shutil.rmtree(self.tmpdirname    )






       def 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						Union[str, Any] 						=		self.get_tokenizer()
              UpperCamelCase     :						Any 						=		self.get_feature_extractor()

              UpperCamelCase     :						Optional[int] 						=		MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE			,       feature_extractor=__SCREAMING_SNAKE_CASE    )

              processor.save_pretrained(self.tmpdirname    )
              UpperCamelCase     :						int 						=		MusicgenProcessor.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 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						str 						=		MusicgenProcessor(tokenizer=self.get_tokenizer()			,       feature_extractor=self.get_feature_extractor()    )
              processor.save_pretrained(self.tmpdirname    )

              UpperCamelCase     :						Any 						=		self.get_tokenizer(bos_token='''(BOS)'''			,       eos_token='''(EOS)'''    )
              UpperCamelCase     :						Union[str, Any] 						=		self.get_feature_extractor(do_normalize=__SCREAMING_SNAKE_CASE			,       padding_value=1.0    )

              UpperCamelCase     :						Union[str, Any] 						=		MusicgenProcessor.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 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						int 						=		self.get_feature_extractor()
              UpperCamelCase     :						Tuple 						=		self.get_tokenizer()

              UpperCamelCase     :						Any 						=		MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE			,       feature_extractor=__SCREAMING_SNAKE_CASE    )

              UpperCamelCase     :						Union[str, Any] 						=		floats_list((3, 1_000)    )

              UpperCamelCase     :						Tuple 						=		feature_extractor(__SCREAMING_SNAKE_CASE			,       return_tensors='''np'''    )
              UpperCamelCase     :						Optional[Any] 						=		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 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						int 						=		self.get_feature_extractor()
              UpperCamelCase     :						List[str] 						=		self.get_tokenizer()

              UpperCamelCase     :						Optional[int] 						=		MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE			,       feature_extractor=__SCREAMING_SNAKE_CASE    )

              UpperCamelCase     :						Tuple 						=		'''This is a test string'''

              UpperCamelCase     :						Dict 						=		processor(text=__SCREAMING_SNAKE_CASE    )

              UpperCamelCase     :						Union[str, Any] 						=		tokenizer(__SCREAMING_SNAKE_CASE    )

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






       def 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						Any 						=		self.get_feature_extractor()
              UpperCamelCase     :						int 						=		self.get_tokenizer()

              UpperCamelCase     :						Optional[int] 						=		MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE			,       feature_extractor=__SCREAMING_SNAKE_CASE    )

              UpperCamelCase     :						int 						=		[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

              UpperCamelCase     :						int 						=		processor.batch_decode(sequences=__SCREAMING_SNAKE_CASE    )
              UpperCamelCase     :						Union[str, Any] 						=		tokenizer.batch_decode(__SCREAMING_SNAKE_CASE    )

              self.assertListEqual(__SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    )






       def 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						Dict 						=		self.get_feature_extractor()
              UpperCamelCase     :						Union[str, Any] 						=		self.get_tokenizer()

              UpperCamelCase     :						str 						=		MusicgenProcessor(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'''			,       )






       def 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						str 						=		self.get_feature_extractor(padding_side='''left'''    )
              UpperCamelCase     :						Optional[Any] 						=		self.get_tokenizer()

              UpperCamelCase     :						List[Any] 						=		MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE			,       feature_extractor=__SCREAMING_SNAKE_CASE    )

              UpperCamelCase     :						List[str] 						=		[floats_list((1, x)    )[0] for x in range(5			,       20			,       5    )]
              UpperCamelCase     :						Tuple 						=		processor(__SCREAMING_SNAKE_CASE    ).padding_mask

              UpperCamelCase     :						List[str] 						=		np.asarray(floats_list((3, 20)    )    )[:, None, :]
              UpperCamelCase     :						Optional[int] 						=		processor.batch_decode(__SCREAMING_SNAKE_CASE			,       padding_mask=__SCREAMING_SNAKE_CASE    )

              self.assertIsInstance(__SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    )

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

              self.assertTrue(decoded_audios[0].shape == (1, 10)    )
              self.assertTrue(decoded_audios[1].shape == (1, 15)    )
              self.assertTrue(decoded_audios[2].shape == (1, 20)    )

