"""simple docstring"""







import random
import sys

from . import cryptomath_module as cryptomath

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


def 	a__   (		UpperCAmelCase__							:      Optional[Any]		,      UpperCAmelCase__							:      List[str]		,      UpperCAmelCase__							:      str      )->						None:
						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(_SCREAMING_SNAKE_CASE      ) - 1:
												sys.exit(
												    """Key A must be greater than 0 and key B must """
												    f'be between 0 and {len(_SCREAMING_SNAKE_CASE      ) - 1}.'      )
						if cryptomath.gcd(_SCREAMING_SNAKE_CASE		,      len(_SCREAMING_SNAKE_CASE      )      ) != 1:
												sys.exit(
												    f'Key A {key_a} and the symbol set size {len(_SCREAMING_SNAKE_CASE      )} '
												    """are not relatively prime. Choose a different key."""      )


def 	a__   (		UpperCAmelCase__							:      Dict		,      UpperCAmelCase__							:      str      )->						str:
						UpperCAmelCase__						,   UpperCAmelCase__       						=		divmod(_SCREAMING_SNAKE_CASE		,      len(_SCREAMING_SNAKE_CASE      )      )
						check_keys(_SCREAMING_SNAKE_CASE		,      _SCREAMING_SNAKE_CASE		,      """encrypt"""      )
						UpperCAmelCase__       						=		""""""
						for symbol in message:
												if symbol in SYMBOLS:
																		UpperCAmelCase__       						=		SYMBOLS.find(_SCREAMING_SNAKE_CASE      )
																		cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(_SCREAMING_SNAKE_CASE      )]
												else:
																		cipher_text += symbol
						return cipher_text


def 	a__   (		UpperCAmelCase__							:      Dict		,      UpperCAmelCase__							:      Tuple      )->						str:
						UpperCAmelCase__						,   UpperCAmelCase__       						=		divmod(_SCREAMING_SNAKE_CASE		,      len(_SCREAMING_SNAKE_CASE      )      )
						check_keys(_SCREAMING_SNAKE_CASE		,      _SCREAMING_SNAKE_CASE		,      """decrypt"""      )
						UpperCAmelCase__       						=		""""""
						UpperCAmelCase__       						=		cryptomath.find_mod_inverse(_SCREAMING_SNAKE_CASE		,      len(_SCREAMING_SNAKE_CASE      )      )
						for symbol in message:
												if symbol in SYMBOLS:
																		UpperCAmelCase__       						=		SYMBOLS.find(_SCREAMING_SNAKE_CASE      )
																		plain_text += SYMBOLS[
																		    (sym_index - key_b) * mod_inverse_of_key_a % len(_SCREAMING_SNAKE_CASE      )
																		]
												else:
																		plain_text += symbol
						return plain_text


def 	a__   (		)->						int:
						while True:
												UpperCAmelCase__       						=		random.randint(2		,      len(_SCREAMING_SNAKE_CASE      )      )
												UpperCAmelCase__       						=		random.randint(2		,      len(_SCREAMING_SNAKE_CASE      )      )
												if cryptomath.gcd(_SCREAMING_SNAKE_CASE		,      len(_SCREAMING_SNAKE_CASE      )      ) == 1 and key_b % len(_SCREAMING_SNAKE_CASE      ) != 0:
																		return key_b * len(_SCREAMING_SNAKE_CASE      ) + key_b


def 	a__   (		)->						None:
						UpperCAmelCase__       						=		input("""Enter message: """      ).strip()
						UpperCAmelCase__       						=		int(input("""Enter key [2000 - 9000]: """      ).strip()      )
						UpperCAmelCase__       						=		input("""Encrypt/Decrypt [E/D]: """      ).strip().lower()

						if mode.startswith("""e"""      ):
												UpperCAmelCase__       						=		"""encrypt"""
												UpperCAmelCase__       						=		encrypt_message(_SCREAMING_SNAKE_CASE		,      _SCREAMING_SNAKE_CASE      )
						elif mode.startswith("""d"""      ):
												UpperCAmelCase__       						=		"""decrypt"""
												UpperCAmelCase__       						=		decrypt_message(_SCREAMING_SNAKE_CASE		,      _SCREAMING_SNAKE_CASE      )
						print(f'\n{mode.title()}ed text: \n{translated}'      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						# main()









"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging


a  :						Optional[Any]					       =							logging.get_logger(__name__)

a  :						int					       =							{
    '''facebook/opt-125m''': '''https://huggingface.co/facebook/opt-125m/blob/main/config.json''',
    '''facebook/opt-350m''': '''https://huggingface.co/facebook/opt-350m/blob/main/config.json''',
    '''facebook/opt-1.3b''': '''https://huggingface.co/facebook/opt-1.3b/blob/main/config.json''',
    '''facebook/opt-2.7b''': '''https://huggingface.co/facebook/opt-2.7b/blob/main/config.json''',
    '''facebook/opt-6.7b''': '''https://huggingface.co/facebook/opt-6.7b/blob/main/config.json''',
    '''facebook/opt-13b''': '''https://huggingface.co/facebook/opt-13b/blob/main/config.json''',
}


class 	_UpperCamelCase ( __UpperCamelCase							):



    '''simple docstring'''


    __lowercase    :   Optional[Any]											=						'opt'
    __lowercase    :   str											=						['past_key_values']


    def __init__(      self   ,			__lowercase=50272   ,			__lowercase=768   ,			__lowercase=12   ,			__lowercase=3072   ,			__lowercase=2048   ,			__lowercase=True   ,			__lowercase=False   ,			__lowercase=None   ,			__lowercase=0.1   ,			__lowercase=0.0   ,			__lowercase=12   ,			__lowercase="relu"   ,			__lowercase=0.0   ,			__lowercase=0.02   ,			__lowercase=True   ,			__lowercase=1   ,			__lowercase=2   ,			__lowercase=2   ,			__lowercase=True   ,			__lowercase=True   ,			**__lowercase   ,			):
     super().__init__(
         pad_token_id=__lowercase   ,			bos_token_id=__lowercase   ,			eos_token_id=__lowercase   ,			**__lowercase   ,			)
     UpperCAmelCase__ 						=				vocab_size
     UpperCAmelCase__ 						=				max_position_embeddings
     UpperCAmelCase__ 						=				num_attention_heads
     UpperCAmelCase__ 						=				word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
     UpperCAmelCase__ 						=				ffn_dim
     UpperCAmelCase__ 						=				hidden_size
     UpperCAmelCase__ 						=				num_hidden_layers
     UpperCAmelCase__ 						=				dropout
     UpperCAmelCase__ 						=				attention_dropout
     UpperCAmelCase__ 						=				activation_function
     UpperCAmelCase__ 						=				init_std
     UpperCAmelCase__ 						=				layerdrop
     UpperCAmelCase__ 						=				use_cache
     UpperCAmelCase__ 						=				do_layer_norm_before
     # We keep these variables at `True` for backward compatibility.
     UpperCAmelCase__ 						=				enable_bias
     UpperCAmelCase__ 						=				layer_norm_elementwise_affine

     # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
     # with checkpoints that have been fine-tuned before transformers v4.20.1
     # see https://github.com/facebookresearch/metaseq/pull/164
     UpperCAmelCase__ 						=				_remove_final_layer_norm



