



from typing import Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
							from PIL import Image

							from ..image_utils import load_image

if is_torch_available():
							from ..models.auto.modeling_auto import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING

__snake_case    :		Optional[int]  =logging.get_logger(__name__)



@add_end_docstrings(a__)
class 	lowerCamelCase__      (							a__):




		'''simple docstring'''



		def __init__(self		,*__lowerCamelCase		,**__lowerCamelCase			)					->      Dict:

						"""simple docstring"""






						super().__init__(*lowerCAmelCase__		,**lowerCAmelCase__			)
						self.check_model_type(lowerCAmelCase__			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase=None		,__lowerCamelCase=None		,__lowerCamelCase=None		,**__lowerCamelCase			)					->      Tuple:

						"""simple docstring"""






						lowerCAmelCase__					:    List[str]												=					{}, {}
						if padding is not None:
										lowerCAmelCase__					:    Union[str, Any]												=					padding
						if truncation is not None:
										lowerCAmelCase__					:    Optional[int]												=					truncation
						if top_k is not None:
										lowerCAmelCase__					:    int												=					top_k
						return preprocess_params, {}, postprocess_params



		def __call__(self		,__lowerCamelCase		,__lowerCamelCase = None		,**__lowerCamelCase			)					->      Union[str, Any]:

						"""simple docstring"""






						if isinstance(lowerCAmelCase__		,(Image.Image, str)			) and isinstance(lowerCAmelCase__		,lowerCAmelCase__			):
										lowerCAmelCase__					:    Optional[int]												=					{"image": image, "question": question}
						else:
										lowerCAmelCase__					:    int												=					image
						lowerCAmelCase__					:    List[Any]												=					super().__call__(lowerCAmelCase__		,**lowerCAmelCase__			)
						return results



		def 		lowerCAmelCase__				(self		,__lowerCamelCase		,__lowerCamelCase=False		,__lowerCamelCase=False			)					->      Tuple:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					load_image(inputs['''image''']			)
						lowerCAmelCase__					:    List[str]												=					self.tokenizer(
						    inputs['''question''']		,return_tensors=self.framework		,padding=lowerCAmelCase__		,truncation=lowerCAmelCase__			)
						lowerCAmelCase__					:    Any												=					self.image_processor(images=lowerCAmelCase__		,return_tensors=self.framework			)
						model_inputs.update(lowerCAmelCase__			)
						return model_inputs



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      Any:

						"""simple docstring"""






						lowerCAmelCase__					:    int												=					self.model(**lowerCAmelCase__			)
						return model_outputs



		def 		lowerCAmelCase__				(self		,__lowerCamelCase		,__lowerCamelCase=5			)					->      str:

						"""simple docstring"""






						if top_k > self.model.config.num_labels:
										lowerCAmelCase__					:    List[Any]												=					self.model.config.num_labels

						if self.framework == "pt":
										lowerCAmelCase__					:    List[Any]												=					model_outputs.logits.sigmoid()[0]
										lowerCAmelCase__					:    int												=					probs.topk(lowerCAmelCase__			)
						else:
										raise ValueError(f"""Unsupported framework: {self.framework}"""			)

						lowerCAmelCase__					:    Union[str, Any]												=					scores.tolist()
						lowerCAmelCase__					:    Any												=					ids.tolist()
						return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(lowerCAmelCase__		,lowerCAmelCase__			)]






import string

import numpy






def      lowerCAmelCase__		(   lowerCamelCase_		:		int	,lowerCamelCase_		:		int):





				'''simple docstring'''

				return b if a == 0 else greatest_common_divisor(b % a	,lowerCamelCase_)



class 	lowerCamelCase__      :




		'''simple docstring'''



		snake_case_     =string.ascii_uppercase + string.digits
		# This cipher takes alphanumerics into account
		# i.e. a total of 36 characters

		# take x and return x % len(key_string)
		snake_case_     =numpy.vectorize(lambda lowerCamelCase__: x % 36)

		snake_case_     =numpy.vectorize(lowerCamelCase__)



		def __init__(self		,__lowerCamelCase			)					->      None:

						"""simple docstring"""






						lowerCAmelCase__					:    Tuple												=					self.modulus(__lowerCamelCase			)  # mod36 calc's on the encrypt key
						self.check_determinant()  # validate the determinant of the encryption key
						lowerCAmelCase__					:    Optional[int]												=					encrypt_key.shape[0]



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      int:

						"""simple docstring"""






						return self.key_string.index(__lowerCamelCase			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      str:

						"""simple docstring"""






						return self.key_string[round(__lowerCamelCase			)]



		def 		lowerCAmelCase__				(self			)					->      None:

						"""simple docstring"""






						lowerCAmelCase__					:    Tuple												=					round(numpy.linalg.det(self.encrypt_key			)			)

						if det < 0:
										lowerCAmelCase__					:    str												=					det % len(self.key_string			)

						lowerCAmelCase__					:    Optional[Any]												=					len(self.key_string			)
						if greatest_common_divisor(__lowerCamelCase		,len(self.key_string			)			) != 1:
										lowerCAmelCase__					:    List[str]												=					(
										    f"""determinant modular {req_l} of encryption key({det}) """
										    f"""is not co prime w.r.t {req_l}.\nTry another key."""
										)
										raise ValueError(__lowerCamelCase			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      str:

						"""simple docstring"""






						lowerCAmelCase__					:    Dict												=					[char for char in text.upper() if char in self.key_string]

						lowerCAmelCase__					:    int												=					chars[-1]
						while len(__lowerCamelCase			) % self.break_key != 0:
										chars.append(__lowerCamelCase			)

						return "".join(__lowerCamelCase			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      str:

						"""simple docstring"""






						lowerCAmelCase__					:    List[str]												=					self.process_text(text.upper()			)
						lowerCAmelCase__					:    str												=					''''''

						for i in range(0		,len(__lowerCamelCase			) - self.break_key + 1		,self.break_key			):
										lowerCAmelCase__					:    Any												=					text[i : i + self.break_key]
										lowerCAmelCase__					:    Dict												=					[self.replace_letters(__lowerCamelCase			) for char in batch]
										lowerCAmelCase__					:    int												=					numpy.array([vec]			).T
										lowerCAmelCase__					:    Union[str, Any]												=					self.modulus(self.encrypt_key.dot(__lowerCamelCase			)			).T.tolist()[
										    0
										]
										lowerCAmelCase__					:    Union[str, Any]												=					''''''.join(
										    self.replace_digits(__lowerCamelCase			) for num in batch_encrypted			)
										encrypted += encrypted_batch

						return encrypted



		def 		lowerCAmelCase__				(self			)					->      numpy.ndarray:

						"""simple docstring"""






						lowerCAmelCase__					:    Tuple												=					round(numpy.linalg.det(self.encrypt_key			)			)

						if det < 0:
										lowerCAmelCase__					:    int												=					det % len(self.key_string			)
						lowerCAmelCase__					:    Dict												=					None
						for i in range(len(self.key_string			)			):
										if (det * i) % len(self.key_string			) == 1:
														lowerCAmelCase__					:    Optional[Any]												=					i
														break

						lowerCAmelCase__					:    Optional[Any]												=					(
						    det_inv
						    * numpy.linalg.det(self.encrypt_key			)
						    * numpy.linalg.inv(self.encrypt_key			)
						)

						return self.to_int(self.modulus(__lowerCamelCase			)			)



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      str:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					self.make_decrypt_key()
						lowerCAmelCase__					:    List[str]												=					self.process_text(text.upper()			)
						lowerCAmelCase__					:    Optional[Any]												=					''''''

						for i in range(0		,len(__lowerCamelCase			) - self.break_key + 1		,self.break_key			):
										lowerCAmelCase__					:    List[Any]												=					text[i : i + self.break_key]
										lowerCAmelCase__					:    Tuple												=					[self.replace_letters(__lowerCamelCase			) for char in batch]
										lowerCAmelCase__					:    Optional[Any]												=					numpy.array([vec]			).T
										lowerCAmelCase__					:    Tuple												=					self.modulus(decrypt_key.dot(__lowerCamelCase			)			).T.tolist()[0]
										lowerCAmelCase__					:    Optional[int]												=					''''''.join(
										    self.replace_digits(__lowerCamelCase			) for num in batch_decrypted			)
										decrypted += decrypted_batch

						return decrypted






def      lowerCAmelCase__		(   ):





				'''simple docstring'''

				lowerCAmelCase__					:    Any												=					int(input('''Enter the order of the encryption key: '''))
				lowerCAmelCase__					:    Union[str, Any]												=					[]

				print('''Enter each row of the encryption key with space separated integers''')
				for _ in range(lowerCamelCase_):
								lowerCAmelCase__					:    int												=					[int(lowerCamelCase_) for x in input().split()]
								hill_matrix.append(lowerCamelCase_)

				lowerCAmelCase__					:    List[str]												=					HillCipher(numpy.array(lowerCamelCase_))

				print('''Would you like to encrypt or decrypt some text? (1 or 2)''')
				lowerCAmelCase__					:    List[Any]												=					input('''\n1. Encrypt\n2. Decrypt\n''')
				if option == "1":
								lowerCAmelCase__					:    Optional[int]												=					input('''What text would you like to encrypt?: ''')
								print('''Your encrypted text is:''')
								print(hc.encrypt(lowerCamelCase_))
				elif option == "2":
								lowerCAmelCase__					:    Dict												=					input('''What text would you like to decrypt?: ''')
								print('''Your decrypted text is:''')
								print(hc.decrypt(lowerCamelCase_))


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							main()

