






import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase__      			=						get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
class 							snake_case_       (    __UpperCamelCase		,							unittest.TestCase      ):

						"""simple docstring"""



						snake_case__        =      XLMProphetNetTokenizer
						snake_case__        =      False
						snake_case__        =      True



						def        UpperCAmelCase__					(self:					Optional[Any]   )    ->     Dict:




											'''simple docstring'''



											super().setUp()

											# We have a SentencePiece fixture for testing
											__a					:						str      =					XLMProphetNetTokenizer(__UpperCAmelCase ,					keep_accents=__UpperCAmelCase   )
											tokenizer.save_pretrained(self.tmpdirname   )



						def        UpperCAmelCase__					(self:					Union[str, Any]   )    ->     Optional[Any]:




											'''simple docstring'''



											__a					:						Union[str, Any]      =					"[PAD]"
											__a					:						Optional[Any]      =					0

											self.assertEqual(self.get_tokenizer()._convert_token_to_id(__UpperCAmelCase   ) ,					__UpperCAmelCase   )
											self.assertEqual(self.get_tokenizer()._convert_id_to_token(__UpperCAmelCase   ) ,					__UpperCAmelCase   )



						def        UpperCAmelCase__					(self:					Any   )    ->     str:




											'''simple docstring'''



											__a					:						int      =					list(self.get_tokenizer().get_vocab().keys()   )

											self.assertEqual(vocab_keys[0] ,					"[PAD]"   )
											self.assertEqual(vocab_keys[1] ,					"[CLS]"   )
											self.assertEqual(vocab_keys[-1] ,					"j"   )
											self.assertEqual(len(__UpperCAmelCase   ) ,					1012   )



						def        UpperCAmelCase__					(self:					List[Any]   )    ->     Dict:




											'''simple docstring'''



											self.assertEqual(self.get_tokenizer().vocab_size ,					1012   )



						def        UpperCAmelCase__					(self:					str   )    ->     Optional[Any]:




											'''simple docstring'''



											__a					:						Dict      =					XLMProphetNetTokenizer(__UpperCAmelCase ,					keep_accents=__UpperCAmelCase   )

											__a					:						int      =					tokenizer.tokenize("This is a test"   )
											self.assertListEqual(__UpperCAmelCase ,					["▁This", "▁is", "▁a", "▁t", "est"]   )

											self.assertListEqual(
											    tokenizer.convert_tokens_to_ids(__UpperCAmelCase   ) ,					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]] ,					)

											__a					:						int      =					tokenizer.tokenize("I was born in 92000, and this is falsé."   )
											self.assertListEqual(
											    __UpperCAmelCase ,					[
											        SPIECE_UNDERLINE + "I",
											        SPIECE_UNDERLINE + "was",
											        SPIECE_UNDERLINE + "b",
											        "or",
											        "n",
											        SPIECE_UNDERLINE + "in",
											        SPIECE_UNDERLINE + "",
											        "9",
											        "2",
											        "0",
											        "0",
											        "0",
											        ",",
											        SPIECE_UNDERLINE + "and",
											        SPIECE_UNDERLINE + "this",
											        SPIECE_UNDERLINE + "is",
											        SPIECE_UNDERLINE + "f",
											        "al",
											        "s",
											        "é",
											        ".",
											    ] ,					)
											__a					:						Dict      =					tokenizer.convert_tokens_to_ids(__UpperCAmelCase   )
											self.assertListEqual(
											    __UpperCAmelCase ,					[
											        value + tokenizer.fairseq_offset
											        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
											    ] ,					)

											__a					:						List[Any]      =					tokenizer.convert_ids_to_tokens(__UpperCAmelCase   )
											self.assertListEqual(
											    __UpperCAmelCase ,					[
											        SPIECE_UNDERLINE + "I",
											        SPIECE_UNDERLINE + "was",
											        SPIECE_UNDERLINE + "b",
											        "or",
											        "n",
											        SPIECE_UNDERLINE + "in",
											        SPIECE_UNDERLINE + "",
											        "[UNK]",
											        "2",
											        "0",
											        "0",
											        "0",
											        ",",
											        SPIECE_UNDERLINE + "and",
											        SPIECE_UNDERLINE + "this",
											        SPIECE_UNDERLINE + "is",
											        SPIECE_UNDERLINE + "f",
											        "al",
											        "s",
											        "[UNK]",
											        ".",
											    ] ,					)



						@cached_property
						def        UpperCAmelCase__					(self:					Union[str, Any]   )    ->     Dict:




											'''simple docstring'''



											return XLMProphetNetTokenizer.from_pretrained("microsoft/xprophetnet-large-wiki100-cased"   )



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




											'''simple docstring'''



											__a					:						Optional[int]      =					"Hello World!"
											__a					:						Optional[int]      =					[35389, 6672, 49, 2]
											self.assertListEqual(__UpperCAmelCase ,					self.big_tokenizer.encode(__UpperCAmelCase   )   )



						@slow
						def        UpperCAmelCase__					(self:					Union[str, Any]   )    ->     Optional[Any]:




											'''simple docstring'''



											__a					:						Optional[int]      =					{"input_ids": [[11073, 82783, 18, 26, 82783, 549, 51540, 248, 17209, 1301, 217, 20, 215186, 1325, 147, 17209, 1301, 217, 20, 56370, 53, 122020, 20, 16477, 27, 87355, 4548, 20, 4728, 78392, 17, 159969, 18, 26, 24491, 629, 15, 538, 22704, 5439, 15, 2788, 24491, 9885, 15, 43534, 605, 15, 814, 18403, 33200, 29, 15, 43534, 24458, 12410, 111, 24966, 83669, 9637, 144068, 26, 850, 22346, 27, 147, 24966, 83669, 83490, 26, 39113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 122020, 115785, 34, 816, 1339, 46887, 18, 147, 53905, 1951, 42238, 41170, 17732, 834, 436, 15, 27523, 98733, 217, 147, 5542, 4981, 930, 17347, 16, 2], [20091, 629, 94, 82786, 58, 490, 20, 1528, 84, 53905, 344, 80592, 110128, 18822, 5267, 1306, 62, 152537, 308, 7997, 401, 124427, 549, 35442, 225, 109, 15055, 25748, 147, 7119, 43712, 34, 767, 135366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63784, 119466, 17, 147808, 88214, 18, 656, 81, 32, 3296, 10280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
											# fmt: on

											self.tokenizer_integration_test_util(
											    expected_encoding=__UpperCAmelCase ,					model_name="microsoft/xprophetnet-large-wiki100-cased" ,					revision="1acad1643ddd54a44df6a1b797ada8373685d90e" ,					)













UpperCAmelCase__      			=						'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''







def     a_   ()				->						None:



					"""simple docstring"""
					__a					:						Dict      =					input("Enter message: "      )
					__a					:						Dict      =					input("Enter key [alphanumeric]: "      )
					__a					:						str      =					input("Encrypt/Decrypt [e/d]: "      )

					if mode.lower().startswith("e"      ):
										__a					:						List[str]      =					"encrypt"
										__a					:						Union[str, Any]      =					encrypt_message(__A				,       __A      )
					elif mode.lower().startswith("d"      ):
										__a					:						int      =					"decrypt"
										__a					:						List[str]      =					decrypt_message(__A				,       __A      )

					print(f'\n{mode.title()}ed message:'      )
					print(__A      )







def     a_   (__A				,       __A      )				->						str:



					"""simple docstring"""
					return translate_message(__A				,       __A				,       "encrypt"      )







def     a_   (__A				,       __A      )				->						str:



					"""simple docstring"""
					return translate_message(__A				,       __A				,       "decrypt"      )







def     a_   (__A				,       __A				,       __A      )				->						str:



					"""simple docstring"""
					__a					:						Union[str, Any]      =					[]
					__a					:						Tuple      =					0
					__a					:						Dict      =					key.upper()

					for symbol in message:
										__a					:						Dict      =					LETTERS.find(symbol.upper()      )
										if num != -1:
															if mode == "encrypt":
																				num += LETTERS.find(key[key_index]      )
															elif mode == "decrypt":
																				num -= LETTERS.find(key[key_index]      )

															num %= len(__A      )

															if symbol.isupper():
																				translated.append(LETTERS[num]      )
															elif symbol.islower():
																				translated.append(LETTERS[num].lower()      )

															key_index += 1
															if key_index == len(__A      ):
																				__a					:						List[str]      =					0
										else:
															translated.append(__A      )
					return "".join(__A      )


if __name__ == "__main__":
			main()





