
import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation





def 				_lowerCamelCase      (       lowerCamelCase_:	Optional[int] = 8		):



				'''simple docstring'''







				A  :	Any				=					ascii_letters + digits + punctuation
				return "".join(secrets.choice(lowerCamelCase_		) for _ in range(lowerCamelCase_		)		)





def 				_lowerCamelCase      (       lowerCamelCase_:	Union[str, Any]					,						lowerCamelCase_:	Optional[int]		):



				'''simple docstring'''







				i -= len(lowerCamelCase_		)
				A  :	Optional[Any]				=					i // 3
				A  :	str				=					i % 3
				# chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
				#     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
				A  :	Any				=					(
				    chars_incl
				    + random(lowerCamelCase_					,						quotient + remainder		)
				    + random(lowerCamelCase_					,						lowerCamelCase_		)
				    + random(lowerCamelCase_					,						lowerCamelCase_		)
				)
				A  :	Optional[Any]				=					list(lowerCamelCase_		)
				shuffle(lowerCamelCase_		)
				return "".join(lowerCamelCase_		)

				# random is a generalised function for letters, characters and numbers





def 				_lowerCamelCase      (       lowerCamelCase_:	Union[str, Any]					,						lowerCamelCase_:	Dict		):



				'''simple docstring'''







				return "".join(secrets.choice(lowerCamelCase_		) for _ in range(lowerCamelCase_		)		)





def 				_lowerCamelCase      (       lowerCamelCase_:	Dict					,						lowerCamelCase_:	int		):



				'''simple docstring'''







				pass  # Put your code here...





def 				_lowerCamelCase      (       lowerCamelCase_:	Tuple					,						lowerCamelCase_:	Optional[Any]		):



				'''simple docstring'''







				pass  # Put your code here...





def 				_lowerCamelCase      (       lowerCamelCase_:	List[Any]					,						lowerCamelCase_:	int		):



				'''simple docstring'''







				pass  # Put your code here...





def 				_lowerCamelCase      (       lowerCamelCase_:	Optional[int]					,						lowerCamelCase_:	Any = 8		):



				'''simple docstring'''







				if len(lowerCamelCase_		) < min_length:
								# Your Password must be at least 8 characters long
								return False

				A  :	List[Any]				=					any(char in ascii_uppercase for char in password		)
				A  :	Optional[Any]				=					any(char in ascii_lowercase for char in password		)
				A  :	Union[str, Any]				=					any(char in digits for char in password		)
				A  :	Tuple				=					any(char in punctuation for char in password		)

				return upper and lower and num and spec_char
				# Passwords should contain UPPERCASE, lowerase
				# numbers, and special characters





def 				_lowerCamelCase      (       ):



				'''simple docstring'''







				A  :	str				=					int(input('''Please indicate the max length of your password: '''		).strip()		)
				A  :	Tuple				=					input(
				    '''Please indicate the characters that must be in your password: '''		).strip()
				print('''Password generated:'''					,						password_generator(lowerCamelCase_		)		)
				print(
				    '''Alternative Password generated:'''					,						alternative_password_generator(lowerCamelCase_					,						lowerCamelCase_		)					,						)
				print('''[If you are thinking of using this passsword, You better save it.]'''		)


if __name__ == "__main__":
					main()





'''simple docstring'''


import os
import shutil
import tempfile
import unittest

import numpy as np

from transformers import AutoTokenizer, BarkProcessor
from transformers.testing_utils import require_torch, slow
@require_torch
class 						a_				(			unittest.TestCase						):




	def   lowercase__   (       self     :  Optional[Any]      ):
							__snake_case						 =   'ylacombe/bark-small'
							__snake_case						 =   tempfile.mkdtemp()
							__snake_case						 =   'en_speaker_1'
							__snake_case						 =   'This is a test string'
							__snake_case						 =   'speaker_embeddings_path.json'
							__snake_case						 =   'speaker_embeddings'




	def   lowercase__   (       self     :  int       ,		**__lowerCAmelCase     :  str      ):
							return AutoTokenizer.from_pretrained(self.checkpoint       ,		**__lowerCAmelCase      )




	def   lowercase__   (       self     :  List[Any]      ):
							shutil.rmtree(self.tmpdirname      )




	def   lowercase__   (       self     :  Dict      ):
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   BarkProcessor(tokenizer=__lowerCAmelCase      )

							processor.save_pretrained(self.tmpdirname      )
							__snake_case						 =   BarkProcessor.from_pretrained(self.tmpdirname      )

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




	@slow
	def   lowercase__   (       self     :  int      ):
							__snake_case						 =   BarkProcessor.from_pretrained(
							    pretrained_processor_name_or_path=self.checkpoint       ,		speaker_embeddings_dict_path=self.speaker_embeddings_dict_path       ,		)
							processor.save_pretrained(
							    self.tmpdirname       ,		speaker_embeddings_dict_path=self.speaker_embeddings_dict_path       ,		speaker_embeddings_directory=self.speaker_embeddings_directory       ,		)

							__snake_case						 =   self.get_tokenizer(bos_token='(BOS)'       ,		eos_token='(EOS)'      )

							__snake_case						 =   BarkProcessor.from_pretrained(
							    self.tmpdirname       ,		self.speaker_embeddings_dict_path       ,		bos_token='(BOS)'       ,		eos_token='(EOS)'       ,		)

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




	def   lowercase__   (       self     :  str      ):
							__snake_case						 =   BarkProcessor.from_pretrained(
							    pretrained_processor_name_or_path=self.checkpoint       ,		speaker_embeddings_dict_path=self.speaker_embeddings_dict_path       ,		)

							__snake_case						 =   3_5
							__snake_case						 =   2
							__snake_case						 =   8

							__snake_case						 =   {
							    'semantic_prompt': np.ones(__lowerCAmelCase      ),
							    'coarse_prompt': np.ones((nb_codebooks_coarse, seq_len)      ),
							    'fine_prompt': np.ones((nb_codebooks_total, seq_len)      ),
							}

							# test providing already loaded voice_preset
							__snake_case						 =   processor(text=self.input_string       ,		voice_preset=__lowerCAmelCase      )

							__snake_case						 =   inputs['history_prompt']
							for key in voice_preset:
													self.assertListEqual(voice_preset[key].tolist()       ,		processed_voice_preset.get(__lowerCAmelCase       ,		np.array([]      )      ).tolist()      )

							# test loading voice preset from npz file
							__snake_case						 =   os.path.join(self.tmpdirname       ,		'file.npz'      )
							np.savez(__lowerCAmelCase       ,		**__lowerCAmelCase      )
							__snake_case						 =   processor(text=self.input_string       ,		voice_preset=__lowerCAmelCase      )
							__snake_case						 =   inputs['history_prompt']

							for key in voice_preset:
													self.assertListEqual(voice_preset[key].tolist()       ,		processed_voice_preset.get(__lowerCAmelCase       ,		np.array([]      )      ).tolist()      )

							# test loading voice preset from the hub
							__snake_case						 =   processor(text=self.input_string       ,		voice_preset=self.voice_preset      )




	def   lowercase__   (       self     :  int      ):
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   BarkProcessor(tokenizer=__lowerCAmelCase      )

							__snake_case						 =   processor(text=self.input_string      )

							__snake_case						 =   tokenizer(
							    self.input_string       ,		padding='max_length'       ,		max_length=2_5_6       ,		add_special_tokens=__lowerCAmelCase       ,		return_attention_mask=__lowerCAmelCase       ,		return_token_type_ids=__lowerCAmelCase       ,		)

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

