



"""simple docstring"""





import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int = 8    ):


						'''simple docstring'''






						snake_case_   : int						=			ascii_letters + digits + punctuation
						return "".join(secrets.choice(__UpperCamelCase    ) for _ in range(__UpperCamelCase    )    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






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

						# random is a generalised function for letters, characters and numbers
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






						return "".join(secrets.choice(__UpperCamelCase    ) for _ in range(__UpperCamelCase    )    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						pass  # Put your code here...
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple					, __UpperCamelCase      :			str    ):


						'''simple docstring'''






						pass  # Put your code here...
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]					, __UpperCamelCase      :			Any    ):


						'''simple docstring'''






						pass  # Put your code here...
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			int = 8    ):


						'''simple docstring'''






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

						snake_case_   : Tuple						=			any(char in ascii_uppercase for char in password    )
						snake_case_   : str						=			any(char in ascii_lowercase for char in password    )
						snake_case_   : int						=			any(char in digits for char in password    )
						snake_case_   : Union[str, Any]						=			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'''






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


if __name__ == "__main__":
					main()






"""simple docstring"""





import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
					import optax
					from flax.training.common_utils import onehot

					from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
					from transformers.models.ta.modeling_flax_ta import shift_tokens_right



@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class    _lowerCAmelCase    (				unittest.TestCase		):





		"""simple docstring"""






		@slow
		def    UpperCAmelCase__							(					self   ) ->						Optional[int]:







								'''simple docstring'''

								snake_case_   : int						=			FlaxMTaForConditionalGeneration.from_pretrained("""google/mt5-small"""   )
								snake_case_   : List[Any]						=			AutoTokenizer.from_pretrained("""google/mt5-small"""   )

								snake_case_   : Dict						=			tokenizer("""Hello there"""							,    return_tensors="""np"""   ).input_ids
								snake_case_   : List[str]						=			tokenizer("""Hi I am"""							,    return_tensors="""np"""   ).input_ids

								snake_case_   : Optional[Any]						=			shift_tokens_right(_lowercase							,    model.config.pad_token_id							,    model.config.decoder_start_token_id   )

								snake_case_   : Tuple						=			model(_lowercase							,    decoder_input_ids=_lowercase   ).logits
								snake_case_   : Tuple						=			optax.softmax_cross_entropy(_lowercase							,    onehot(_lowercase							,    logits.shape[-1]   )   ).mean()

								snake_case_   : List[str]						=			-(labels.shape[-1] * loss.item())

								snake_case_   : Optional[int]						=			-84.9127
								self.assertTrue(abs(mtf_score - EXPECTED_SCORE   ) < 1E-4   )

