




import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


snake_case_						:			Union[str, Any]													=							get_tests_dir() + '''/test_data/fsmt/fsmt_val_data.json'''
with io.open(filename, '''r''', encoding='''utf-8''') as f:
							snake_case_						:			List[str]													=							json.load(f)

@require_torch
class 						A__							(		unittest.TestCase  ):




						def 							__UpperCamelCase				(       self					:      int				,    _a					:      Tuple  )							->     Tuple:


										"""simple docstring"""





										return FSMTTokenizer.from_pretrained(_a  )




						def 							__UpperCamelCase				(       self					:      int				,    _a					:      Dict  )							->     Union[str, Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =FSMTForConditionalGeneration.from_pretrained(_a  ).to(_a  )
										if torch_device == "cuda":
														model.half()
										return model




						@parameterized.expand(
						    [
						        ['''en-ru''', 26.0],
						        ['''ru-en''', 22.0],
						        ['''en-de''', 22.0],
						        ['''de-en''', 29.0],
						    ]  )
						@slow
						def 							__UpperCamelCase				(       self					:      Tuple				,    _a					:      Any				,    _a					:      Any  )							->     Tuple:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =f"facebook/wmt19-{pair}"
										_SCREAMING_SNAKE_CASE			  =self.get_tokenizer(_a  )
										_SCREAMING_SNAKE_CASE			  =self.get_model(_a  )

										_SCREAMING_SNAKE_CASE			  =bleu_data[pair]['''src''']
										_SCREAMING_SNAKE_CASE			  =bleu_data[pair]['''tgt''']

										_SCREAMING_SNAKE_CASE			  =tokenizer(_a				,    return_tensors='''pt'''				,    truncation=_a				,    padding='''longest'''  ).to(_a  )
										_SCREAMING_SNAKE_CASE			  =model.generate(
										    input_ids=batch.input_ids				,    num_beams=8				,    )
										_SCREAMING_SNAKE_CASE			  =tokenizer.batch_decode(
										    _a				,    skip_special_tokens=_a				,    clean_up_tokenization_spaces=_a  )
										_SCREAMING_SNAKE_CASE			  =calculate_bleu(_a				,    _a  )
										print(_a  )
										self.assertGreaterEqual(scores['''bleu''']				,    _a  )



import string

import numpy







def 						lowerCamelCase(   a__	,a__):
				return b if a == 0 else greatest_common_divisor(b % a	,a__)

class 						A__							:
						UpperCAmelCase             =						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)
						UpperCAmelCase             =						numpy.vectorize(lambda UpperCamelCase__  : x % 36  )

						UpperCAmelCase             =						numpy.vectorize(UpperCamelCase__  )




						def __init__(       self					:      int				,    _a					:      numpy.ndarray  )							->     None:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.modulus(_a  )  # mod36 calc's on the encrypt key
										self.check_determinant()  # validate the determinant of the encryption key
										_SCREAMING_SNAKE_CASE			  =encrypt_key.shape[0]




						def 							__UpperCamelCase				(       self					:      Dict				,    _a					:      str  )							->     int:


										"""simple docstring"""





										return self.key_string.index(_a  )




						def 							__UpperCamelCase				(       self					:      List[str]				,    _a					:      int  )							->     str:


										"""simple docstring"""





										return self.key_string[round(_a  )]




						def 							__UpperCamelCase				(       self					:      int  )							->     None:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =round(numpy.linalg.det(self.encrypt_key  )  )

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

										_SCREAMING_SNAKE_CASE			  =len(self.key_string  )
										if greatest_common_divisor(_a				,    len(self.key_string  )  ) != 1:
														_SCREAMING_SNAKE_CASE			  =(
														    f"determinant modular {req_l} of encryption key({det}) "
														    f"is not co prime w.r.t {req_l}.\nTry another key."
														)
														raise ValueError(_a  )




						def 							__UpperCamelCase				(       self					:      List[str]				,    _a					:      str  )							->     str:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =[char for char in text.upper() if char in self.key_string]

										_SCREAMING_SNAKE_CASE			  =chars[-1]
										while len(_a  ) % self.break_key != 0:
														chars.append(_a  )

										return "".join(_a  )




						def 							__UpperCamelCase				(       self					:      List[str]				,    _a					:      str  )							->     str:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.process_text(text.upper()  )
										_SCREAMING_SNAKE_CASE			  =''''''

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

										return encrypted




						def 							__UpperCamelCase				(       self					:      Union[str, Any]  )							->     numpy.ndarray:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =round(numpy.linalg.det(self.encrypt_key  )  )

										if det < 0:
														_SCREAMING_SNAKE_CASE			  =det % len(self.key_string  )
										_SCREAMING_SNAKE_CASE			  =None
										for i in range(len(self.key_string  )  ):
														if (det * i) % len(self.key_string  ) == 1:
																		_SCREAMING_SNAKE_CASE			  =i
																		break

										_SCREAMING_SNAKE_CASE			  =(
										    det_inv
										    * numpy.linalg.det(self.encrypt_key  )
										    * numpy.linalg.inv(self.encrypt_key  )
										)

										return self.to_int(self.modulus(_a  )  )




						def 							__UpperCamelCase				(       self					:      str				,    _a					:      str  )							->     str:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.make_decrypt_key()
										_SCREAMING_SNAKE_CASE			  =self.process_text(text.upper()  )
										_SCREAMING_SNAKE_CASE			  =''''''

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

										return decrypted







def 						lowerCamelCase(   ):
				_SCREAMING_SNAKE_CASE			  =int(input('''Enter the order of the encryption key: '''))
				_SCREAMING_SNAKE_CASE			  =[]

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

				_SCREAMING_SNAKE_CASE			  =HillCipher(numpy.array(a__))

				print('''Would you like to encrypt or decrypt some text? (1 or 2)''')
				_SCREAMING_SNAKE_CASE			  =input('''\n1. Encrypt\n2. Decrypt\n''')
				if option == "1":
								_SCREAMING_SNAKE_CASE			  =input('''What text would you like to encrypt?: ''')
								print('''Your encrypted text is:''')
								print(hc.encrypt(a__))
				elif option == "2":
								_SCREAMING_SNAKE_CASE			  =input('''What text would you like to decrypt?: ''')
								print('''Your decrypted text is:''')
								print(hc.decrypt(a__))


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							main()