





import random
import sys

__A    :   List[Any]          =       "ABCDEFGHIJKLMNOPQRSTUVWXYZ"





def 						__SCREAMING_SNAKE_CASE  (    )  ->    None:







					'''simple docstring'''

					UpperCAmelCase       		=    input('''Enter message: '''			)
					UpperCAmelCase       		=    '''LFWOAYUISVKMNXPBDCRJTQEGHZ'''
					UpperCAmelCase       		=    input('''Encrypt/Decrypt [e/d]: '''			)

					check_valid_key(UpperCamelCase__			)

					if resp.lower().startswith('''e'''			):
										UpperCAmelCase       		=    '''encrypt'''
										UpperCAmelCase       		=    encrypt_message(UpperCamelCase__      ,      UpperCamelCase__			)
					elif resp.lower().startswith('''d'''			):
										UpperCAmelCase       		=    '''decrypt'''
										UpperCAmelCase       		=    decrypt_message(UpperCamelCase__      ,      UpperCamelCase__			)

					print(F"""\n{mode.title()}ion: \n{translated}"""			)





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    None:







					'''simple docstring'''

					UpperCAmelCase       		=    list(UpperCamelCase__			)
					UpperCAmelCase       		=    list(UpperCamelCase__			)
					key_list.sort()
					letters_list.sort()

					if key_list != letters_list:
										sys.exit('''Error in the key or symbol set.'''			)





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__			)  ->    str:







					'''simple docstring'''

					return translate_message(UpperCamelCase__      ,      UpperCamelCase__      ,      '''encrypt'''			)





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__			)  ->    str:







					'''simple docstring'''

					return translate_message(UpperCamelCase__      ,      UpperCamelCase__      ,      '''decrypt'''			)





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__			)  ->    str:







					'''simple docstring'''

					UpperCAmelCase       		=    ''''''
					UpperCAmelCase       		=    LETTERS
					UpperCAmelCase       		=    key

					if mode == "decrypt":
										UpperCAmelCase		,      UpperCAmelCase       		=    chars_b, chars_a

					for symbol in message:
										if symbol.upper() in chars_a:
															UpperCAmelCase       		=    chars_a.find(symbol.upper()			)
															if symbol.isupper():
																				translated += chars_b[sym_index].upper()
															else:
																				translated += chars_b[sym_index].lower()
										else:
															translated += symbol

					return translated





def 						__SCREAMING_SNAKE_CASE  (    )  ->    str:







					'''simple docstring'''

					UpperCAmelCase       		=    list(UpperCamelCase__			)
					random.shuffle(UpperCamelCase__			)
					return "".join(UpperCamelCase__			)


if __name__ == "__main__":
				main()










import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard

class      A_	(unittest.TestCase      ):
	def 					_lowercase    (   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    {
				    '''model_details''': {
				        '''Organization''': '''testing''',
				        '''Model date''': '''today''',
				        '''Model version''': '''v2.1, Developed by Test Corp in 2019.''',
				        '''Architecture''': '''Convolutional Neural Network.''',
				    },
				    '''metrics''': '''BLEU and ROUGE-1''',
				    '''evaluation_data''': {
				        '''Datasets''': {'''BLEU''': '''My-great-dataset-v1''', '''ROUGE-1''': '''My-short-dataset-v2.1'''},
				        '''Preprocessing''': '''See details on https://arxiv.org/pdf/1810.03993.pdf''',
				    },
				    '''training_data''': {
				        '''Dataset''': '''English Wikipedia dump dated 2018-12-01''',
				        '''Preprocessing''': (
				            '''Using SentencePiece vocabulary of size 52k tokens. See details on'''
				            ''' https://arxiv.org/pdf/1810.03993.pdf'''
				        ),
				    },
				    '''quantitative_analyses''': {'''BLEU''': 55.1, '''ROUGE-1''': 7_6},
				}
	def 					_lowercase    (   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    ModelCard.from_dict(self.inputs_dict		)
				self.assertTrue(hasattr(_A							, '''model_details'''		)		)
				self.assertTrue(hasattr(_A							, '''intended_use'''		)		)
				self.assertTrue(hasattr(_A							, '''factors'''		)		)
				self.assertTrue(hasattr(_A							, '''metrics'''		)		)
				self.assertTrue(hasattr(_A							, '''evaluation_data'''		)		)
				self.assertTrue(hasattr(_A							, '''training_data'''		)		)
				self.assertTrue(hasattr(_A							, '''quantitative_analyses'''		)		)
				self.assertTrue(hasattr(_A							, '''ethical_considerations'''		)		)
				self.assertTrue(hasattr(_A							, '''caveats_and_recommendations'''		)		)
	def 					_lowercase    (   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    ModelCard.from_dict(self.inputs_dict		)
				UpperCAmelCase       		=    json.loads(modelcard.to_json_string()		)
				for key, value in self.inputs_dict.items():
							self.assertEqual(obj[key]							, _A		)
	def 					_lowercase    (   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    ModelCard.from_dict(self.inputs_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							UpperCAmelCase       		=    os.path.join(_A							, '''modelcard.json'''		)
							model_card_first.to_json_file(_A		)
							UpperCAmelCase       		=    ModelCard.from_json_file(_A		)

				self.assertEqual(model_card_second.to_dict()							, model_card_first.to_dict()		)







	def 					_lowercase    (   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    ModelCard.from_dict(self.inputs_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							model_card_first.save_pretrained(_A		)
							UpperCAmelCase       		=    ModelCard.from_pretrained(_A		)

				self.assertEqual(model_card_second.to_dict()							, model_card_first.to_dict()		)



