


'''simple docstring'''







import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


_SCREAMING_SNAKE_CASE							: str										=			get_tests_dir("fixtures/test_sentencepiece.model")


if is_torch_available():
		from transformers.models.mbart.modeling_mbart import shift_tokens_right

_SCREAMING_SNAKE_CASE							: int										=			25_00_04
_SCREAMING_SNAKE_CASE							: int										=			25_00_20






@require_sentencepiece
@require_tokenizers
class 		_snake_case     (					A_	,	unittest.TestCase		):






						'''simple docstring'''







						__snake_case				=   MBartTokenizer
						__snake_case				=   MBartTokenizerFast
						__snake_case				=   True
						__snake_case				=   True







						def lowerCAmelCase__			(	self:						Tuple  )				->						Any:
										super().setUp()

										# We have a SentencePiece fixture for testing
										__magic_name__					:       List[Any]    							=							MBartTokenizer(snake_case__   ,				keep_accents=snake_case__  )
										tokenizer.save_pretrained(self.tmpdirname  )







						def lowerCAmelCase__			(	self:						str  )				->						Dict:
										__magic_name__					:       Union[str, Any]    							=							MBartTokenizer(snake_case__   ,				keep_accents=snake_case__  )

										__magic_name__					:       Optional[Any]    							=							tokenizer.tokenize("This is a test"  )
										self.assertListEqual(snake_case__   ,				["▁This", "▁is", "▁a", "▁t", "est"]  )

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

										__magic_name__					:       Optional[int]    							=							tokenizer.tokenize("I was born in 92000, and this is falsé."  )
										self.assertListEqual(
										    snake_case__   ,				[
										        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",
										        ".",
										    ]   ,				)
										__magic_name__					:       Any    							=							tokenizer.convert_tokens_to_ids(snake_case__  )
										self.assertListEqual(
										    snake_case__   ,				[
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
										        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
										    ]   ,				)

										__magic_name__					:       Any    							=							tokenizer.convert_ids_to_tokens(snake_case__  )
										self.assertListEqual(
										    snake_case__   ,				[
										        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>",
										        ".",
										    ]   ,				)







						def lowerCAmelCase__			(	self:						str  )				->						Tuple:


										if not self.test_slow_tokenizer:
														# as we don't have a slow version, we can't compare the outputs between slow and fast versions
														return

										__magic_name__					:       str    							=							(self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart", {})
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
														with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																		__magic_name__					:       Any    							=							self.rust_tokenizer_class.from_pretrained(snake_case__   ,				**snake_case__  )
																		__magic_name__					:       Optional[Any]    							=							self.tokenizer_class.from_pretrained(snake_case__   ,				**snake_case__  )

																		__magic_name__					:       Dict    							=							tempfile.mkdtemp()

																		__magic_name__					:       List[Any]    							=							tokenizer_r.save_pretrained(snake_case__  )
																		__magic_name__					:       List[str]    							=							tokenizer_p.save_pretrained(snake_case__  )

																		# Checks it save with the same files + the tokenizer.json file for the fast one
																		self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files  )  )
																		__magic_name__					:       Any    							=							tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f  )
																		self.assertSequenceEqual(snake_case__   ,				snake_case__  )

																		# Checks everything loads correctly in the same way
																		__magic_name__					:       Tuple    							=							tokenizer_r.from_pretrained(snake_case__  )
																		__magic_name__					:       Optional[int]    							=							tokenizer_p.from_pretrained(snake_case__  )

																		# Check special tokens are set accordingly on Rust and Python
																		for key in tokenizer_pp.special_tokens_map:
																						self.assertTrue(hasattr(snake_case__   ,				snake_case__  )  )
																						# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																						# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																		shutil.rmtree(snake_case__  )

																		# Save tokenizer rust, legacy_format=True
																		__magic_name__					:       int    							=							tempfile.mkdtemp()

																		__magic_name__					:       str    							=							tokenizer_r.save_pretrained(snake_case__   ,				legacy_format=snake_case__  )
																		__magic_name__					:       int    							=							tokenizer_p.save_pretrained(snake_case__  )

																		# Checks it save with the same files
																		self.assertSequenceEqual(snake_case__   ,				snake_case__  )

																		# Checks everything loads correctly in the same way
																		__magic_name__					:       List[Any]    							=							tokenizer_r.from_pretrained(snake_case__  )
																		__magic_name__					:       Union[str, Any]    							=							tokenizer_p.from_pretrained(snake_case__  )

																		# Check special tokens are set accordingly on Rust and Python
																		for key in tokenizer_pp.special_tokens_map:
																						self.assertTrue(hasattr(snake_case__   ,				snake_case__  )  )

																		shutil.rmtree(snake_case__  )

																		# Save tokenizer rust, legacy_format=False
																		__magic_name__					:       int    							=							tempfile.mkdtemp()

																		__magic_name__					:       Optional[int]    							=							tokenizer_r.save_pretrained(snake_case__   ,				legacy_format=snake_case__  )
																		__magic_name__					:       Dict    							=							tokenizer_p.save_pretrained(snake_case__  )

																		# Checks it saved the tokenizer.json file
																		self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files  )  )

																		# Checks everything loads correctly in the same way
																		__magic_name__					:       List[str]    							=							tokenizer_r.from_pretrained(snake_case__  )
																		__magic_name__					:       Optional[Any]    							=							tokenizer_p.from_pretrained(snake_case__  )

																		# Check special tokens are set accordingly on Rust and Python
																		for key in tokenizer_pp.special_tokens_map:
																						self.assertTrue(hasattr(snake_case__   ,				snake_case__  )  )

																		shutil.rmtree(snake_case__  )






@require_torch
@require_sentencepiece
@require_tokenizers
class 		_snake_case     (					unittest.TestCase		):






						'''simple docstring'''







						__snake_case				=   "facebook/mbart-large-en-ro"
						__snake_case				=   [
						    " UN Chief Says There Is No Military Solution in Syria",
						    " Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.",
						]
						__snake_case				=   [
						    "Şeful ONU declară că nu există o soluţie militară în Siria",
						    "Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"
						    " pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"
						    " face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.",
						]
						__snake_case				=   [8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2, EN_CODE]







						@classmethod
						def lowerCAmelCase__			(	cls:						int  )				->						Union[str, Any]:
										__magic_name__					:       MBartTokenizer    							=							MBartTokenizer.from_pretrained(
										    cls.checkpoint_name   ,				src_lang="en_XX"   ,				tgt_lang="ro_RO"  )
										__magic_name__					:       Optional[int]    							=							1
										return cls







						def lowerCAmelCase__			(	self:						Optional[int]  )				->						List[str]:
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]   ,				25_0001  )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]   ,				25_0004  )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]   ,				25_0020  )







						def lowerCAmelCase__			(	self:						Optional[int]  )				->						Dict:
										__magic_name__					:       List[Any]    							=							self.tokenizer.batch_encode_plus(self.src_text  ).input_ids[0]
										self.assertListEqual(self.expected_src_tokens   ,				snake_case__  )







						def lowerCAmelCase__			(	self:						List[Any]  )				->						Optional[Any]:
										self.assertIn(snake_case__   ,				self.tokenizer.all_special_ids  )
										__magic_name__					:       List[Any]    							=							[RO_CODE, 884, 9019, 96, 9, 916, 8_6792, 36, 1_8743, 1_5596, 5, 2]
										__magic_name__					:       Optional[Any]    							=							self.tokenizer.decode(snake_case__   ,				skip_special_tokens=snake_case__  )
										__magic_name__					:       Union[str, Any]    							=							self.tokenizer.decode(generated_ids[1:]   ,				skip_special_tokens=snake_case__  )
										self.assertEqual(snake_case__   ,				snake_case__  )
										self.assertNotIn(self.tokenizer.eos_token   ,				snake_case__  )







						def lowerCAmelCase__			(	self:						Optional[int]  )				->						Optional[int]:
										__magic_name__					:       Union[str, Any]    							=							["this is gunna be a long sentence " * 20]
										assert isinstance(src_text[0]   ,				snake_case__  )
										__magic_name__					:       Dict    							=							10
										__magic_name__					:       Union[str, Any]    							=							self.tokenizer(snake_case__   ,				max_length=snake_case__   ,				truncation=snake_case__  ).input_ids[0]
										self.assertEqual(ids[-2]   ,				2  )
										self.assertEqual(ids[-1]   ,				snake_case__  )
										self.assertEqual(len(snake_case__  )   ,				snake_case__  )







						def lowerCAmelCase__			(	self:						Optional[Any]  )				->						Any:
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]  )   ,				[25_0026, 25_0001]  )







						def lowerCAmelCase__			(	self:						Optional[Any]  )				->						Dict:
										__magic_name__					:       Tuple    							=							tempfile.mkdtemp()
										__magic_name__					:       List[Any]    							=							self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(snake_case__  )
										__magic_name__					:       Union[str, Any]    							=							MBartTokenizer.from_pretrained(snake_case__  )
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids   ,				snake_case__  )







						@require_torch
						def lowerCAmelCase__			(	self:						List[Any]  )				->						Union[str, Any]:
										__magic_name__					:       str    							=							self.tokenizer(self.src_text   ,				text_target=self.tgt_text   ,				padding=snake_case__   ,				return_tensors="pt"  )
										__magic_name__					:       List[Any]    							=							shift_tokens_right(batch["labels"]   ,				self.tokenizer.pad_token_id  )

										# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
										assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
										assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
										assert batch.decoder_input_ids[1][-1] == 2
										assert batch.labels[1][-2:].tolist() == [2, RO_CODE]







						@require_torch
						def lowerCAmelCase__			(	self:						Tuple  )				->						List[str]:
										__magic_name__					:       str    							=							self.tokenizer(
										    self.src_text   ,				text_target=self.tgt_text   ,				padding=snake_case__   ,				truncation=snake_case__   ,				max_length=len(self.expected_src_tokens  )   ,				return_tensors="pt"   ,				)

										__magic_name__					:       Tuple    							=							shift_tokens_right(batch["labels"]   ,				self.tokenizer.pad_token_id  )

										self.assertIsInstance(snake_case__   ,				snake_case__  )

										self.assertEqual((2, 14)   ,				batch.input_ids.shape  )
										self.assertEqual((2, 14)   ,				batch.attention_mask.shape  )
										__magic_name__					:       List[Any]    							=							batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens   ,				snake_case__  )
										self.assertEqual(2   ,				batch.decoder_input_ids[0, -1]  )  # EOS
										# Test that special tokens are reset
										self.assertEqual(self.tokenizer.prefix_tokens   ,				[]  )
										self.assertEqual(self.tokenizer.suffix_tokens   ,				[self.tokenizer.eos_token_id, EN_CODE]  )







						def lowerCAmelCase__			(	self:						Optional[Any]  )				->						Dict:
										__magic_name__					:       int    							=							self.tokenizer(self.src_text   ,				padding=snake_case__   ,				truncation=snake_case__   ,				max_length=3   ,				return_tensors="pt"  )
										__magic_name__					:       str    							=							self.tokenizer(
										    text_target=self.tgt_text   ,				padding=snake_case__   ,				truncation=snake_case__   ,				max_length=10   ,				return_tensors="pt"  )
										__magic_name__					:       Tuple    							=							targets["input_ids"]
										__magic_name__					:       List[str]    							=							shift_tokens_right(snake_case__   ,				self.tokenizer.pad_token_id  )

										self.assertEqual(batch.input_ids.shape[1]   ,				3  )
										self.assertEqual(batch.decoder_input_ids.shape[1]   ,				10  )







						@require_torch
						def lowerCAmelCase__			(	self:						List[str]  )				->						str:
										__magic_name__					:       int    							=							self.tokenizer._build_translation_inputs(
										    "A test"   ,				return_tensors="pt"   ,				src_lang="en_XX"   ,				tgt_lang="ar_AR"  )

										self.assertEqual(
										    nested_simplify(snake_case__  )   ,				{
										        # A, test, EOS, en_XX
										        "input_ids": [[62, 3034, 2, 25_0004]],
										        "attention_mask": [[1, 1, 1, 1]],
										        # ar_AR
										        "forced_bos_token_id": 25_0001,
										    }   ,				)

import random






class     UpperCAmelCase						:



   @staticmethod
   def 							_SCREAMING_SNAKE_CASE  (snake_case__						:   str					)						->      tuple[list[int], list[int]]:


          '''simple docstring'''


          snake_case			:  int     							= [ord(snake_case__					) for i in text]
          snake_case			:  Optional[int]     							= []
          snake_case			:  int     							= []
          for i in plain:
                 snake_case			:  List[Any]     							= random.randint(1       ,		3_00					)
                 snake_case			:  List[Any]     							= (i + k) * k
                 cipher.append(snake_case__					)
                 key.append(snake_case__					)
          return cipher, key



   @staticmethod
   def 							_SCREAMING_SNAKE_CASE  (snake_case__						:   list[int]       ,		snake_case__						:   list[int]					)						->      str:


          '''simple docstring'''


          snake_case			:  int     							= []
          for i in range(len(snake_case__					)					):
                 snake_case			:  List[str]     							= int((cipher[i] - (key[i]) ** 2) / key[i]					)
                 plain.append(chr(snake_case__					)					)
          return "".join(snake_case__					)


if __name__ == "__main__":
   __lowerCamelCase,  __lowerCamelCase				=			Onepad().encrypt("""Hello""")
   print(c, k)
   print(Onepad().decrypt(c, k))





