




import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
				from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


__lowercase       :int       =  get_tests_dir("fixtures/test_sentencepiece.model")

__lowercase       :List[Any]       =  {"target_lang": "fi", "source_lang": "en"}
__lowercase       :int       =  ">>zh<<"
__lowercase       :str       =  "Helsinki-NLP/"

if is_torch_available():
				__lowercase       :int       =  "pt"
elif is_tf_available():
				__lowercase       :Optional[Any]       =  "tf"
else:
				__lowercase       :int       =  "jax"



@require_sentencepiece
class    _a     (				lowercase__					,							unittest.TestCase							):






							"""simple docstring"""

							snake_case_							 =						MarianTokenizer
							snake_case_							 =						False
							snake_case_							 =						True

							def      A_  (      self				:     List[str]    )	->Union[str, Any]:
													super().setUp()
													SCREAMING_SNAKE_CASE__     :				str   =					["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
													SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					dict(zip(__UpperCamelCase							,	range(len(__UpperCamelCase    )    )    )    )
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					Path(self.tmpdirname    )
													save_json(__UpperCamelCase							,	save_dir / VOCAB_FILES_NAMES["vocab"]    )
													save_json(__UpperCamelCase							,	save_dir / VOCAB_FILES_NAMES["tokenizer_config_file"]    )
													if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
																			copyfile(__UpperCamelCase							,	save_dir / VOCAB_FILES_NAMES["source_spm"]    )
																			copyfile(__UpperCamelCase							,	save_dir / VOCAB_FILES_NAMES["target_spm"]    )

													SCREAMING_SNAKE_CASE__     :				Tuple   =					MarianTokenizer.from_pretrained(self.tmpdirname    )
													tokenizer.save_pretrained(self.tmpdirname    )

							def      A_  (      self				:     List[str]							,	**a				:     List[Any]    )	->MarianTokenizer:
													return MarianTokenizer.from_pretrained(self.tmpdirname							,	**__UpperCamelCase    )

							def      A_  (      self				:     Tuple							,	a				:     List[Any]    )	->List[str]:
													return (
													    "This is a test",
													    "This is a test",
													)

							def      A_  (      self				:     Tuple    )	->Any:
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					"</s>"
													SCREAMING_SNAKE_CASE__     :				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      A_  (      self				:     Union[str, Any]    )	->int:
													SCREAMING_SNAKE_CASE__     :				str   =					list(self.get_tokenizer().get_vocab().keys()    )

													self.assertEqual(vocab_keys[0]							,	"</s>"    )
													self.assertEqual(vocab_keys[1]							,	"<unk>"    )
													self.assertEqual(vocab_keys[-1]							,	"<pad>"    )
													self.assertEqual(len(__UpperCamelCase    )							,	9    )

							def      A_  (      self				:     Optional[int]    )	->Tuple:
													self.assertEqual(self.get_tokenizer().vocab_size							,	9    )

							def      A_  (      self				:     List[str]    )	->Union[str, Any]:
													SCREAMING_SNAKE_CASE__     :				Tuple   =					MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""    )
													SCREAMING_SNAKE_CASE__     :				Tuple   =					en_de_tokenizer(["I am a small frog"]							,	return_tensors=__UpperCamelCase    )
													self.assertIsInstance(__UpperCamelCase							,	__UpperCamelCase    )
													SCREAMING_SNAKE_CASE__     :				Optional[int]   =					[38, 1_21, 14, 6_97, 3_88_48, 0]
													self.assertListEqual(__UpperCamelCase							,	batch.input_ids[0]    )

													SCREAMING_SNAKE_CASE__     :				Optional[int]   =					tempfile.mkdtemp()
													en_de_tokenizer.save_pretrained(__UpperCamelCase    )
													SCREAMING_SNAKE_CASE__     :				int   =					[x.name for x in Path(__UpperCamelCase    ).glob("*"    )]
													self.assertIn("source.spm"							,	__UpperCamelCase    )
													MarianTokenizer.from_pretrained(__UpperCamelCase    )

							def      A_  (      self				:     Optional[int]    )	->Optional[Any]:
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					self.get_tokenizer()

													SCREAMING_SNAKE_CASE__     :				str   =					tok(
													    ["I am a small frog" * 10_00, "I am a small frog"]							,	padding=__UpperCamelCase							,	truncation=__UpperCamelCase							,	return_tensors=__UpperCamelCase    )
													self.assertIsInstance(__UpperCamelCase							,	__UpperCamelCase    )
													self.assertEqual(batch.input_ids.shape							,	(2, 5_12)    )

							def      A_  (      self				:     str    )	->Optional[int]:
													SCREAMING_SNAKE_CASE__     :				Dict   =					self.get_tokenizer()
													SCREAMING_SNAKE_CASE__     :				Any   =					tok(["I am a tiny frog", "I am a small frog"]							,	padding=__UpperCamelCase							,	return_tensors=__UpperCamelCase    )
													self.assertIsInstance(__UpperCamelCase							,	__UpperCamelCase    )
													self.assertEqual(batch_smaller.input_ids.shape							,	(2, 10)    )

							@slow
							def      A_  (      self				:     List[Any]    )	->Tuple:
													# fmt: off
													SCREAMING_SNAKE_CASE__     :				str   =					{"input_ids": [[4_34_95, 4_62, 20, 4_21_64, 13_69, 52, 4_64, 1_32, 17_03, 4_92, 13, 74_91, 3_89_99, 6, 8, 4_64, 1_32, 17_03, 4_92, 13, 46_69, 3_78_67, 13, 75_25, 27, 15_93, 9_88, 13, 3_39_72, 70_29, 6, 20, 82_51, 3_83, 2, 2_70, 58_66, 37_88, 2, 23_53, 82_51, 1_23_38, 2, 1_39_58, 3_87, 2, 36_29, 69_53, 1_88, 29_00, 2, 1_39_58, 80_11, 1_15_01, 23, 84_60, 40_73, 3_40_09, 20, 4_35, 1_14_39, 27, 8, 84_60, 40_73, 60_04, 20, 99_88, 3_75, 27, 33, 2_66, 19_45, 10_76, 13_50, 3_78_67, 32_88, 5, 5_77, 10_76, 43_74, 8, 50_82, 5, 2_64_53, 2_57, 5_56, 4_03, 2, 2_42, 1_32, 3_83, 3_16, 4_92, 8, 1_07_67, 6, 3_16, 3_04, 42_39, 3, 0], [1_48, 1_57_22, 19, 18_39, 12, 13_50, 13, 2_23_27, 50_82, 54_18, 4_75_67, 3_59_38, 59, 3_18, 1_95_52, 1_08, 21_83, 54, 1_49_76, 48_35, 32, 5_47, 11_14, 8, 3_15, 24_17, 5, 92, 1_90_88, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00], [36, 63_95, 1_25_70, 3_91_47, 1_15_97, 6, 2_66, 4, 4_54_05, 72_96, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00]], "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, 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], [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]]}  # noqa: E501
													# fmt: on

													self.tokenizer_integration_test_util(
													    expected_encoding=__UpperCamelCase							,	model_name="Helsinki-NLP/opus-mt-en-de"							,	revision="1a8c2263da11e68e50938f97e10cd57820bd504c"							,	decode_kwargs={"use_source_tokenizer": True}							,	)






							def      A_  (      self				:     int    )	->List[Any]:
													SCREAMING_SNAKE_CASE__     :				List[str]   =					MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"    )

													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					"Tämä on testi"
													SCREAMING_SNAKE_CASE__     :				int   =					"This is a test"

													SCREAMING_SNAKE_CASE__     :				Dict   =					[76, 7, 20_47, 2]
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					[69, 12, 11, 9_40, 2]

													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					tokenizer(__UpperCamelCase    ).input_ids
													self.assertListEqual(__UpperCamelCase							,	__UpperCamelCase    )

													SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					tokenizer(text_target=__UpperCamelCase    ).input_ids
													self.assertListEqual(__UpperCamelCase							,	__UpperCamelCase    )

													SCREAMING_SNAKE_CASE__     :				str   =					tokenizer.decode(__UpperCamelCase							,	skip_special_tokens=__UpperCamelCase    )
													self.assertEqual(__UpperCamelCase							,	__UpperCamelCase    )






def       UpperCAmelCase							(     _lowerCamelCase      :  int			,   _lowerCamelCase      :  bool = False     ):





						'''simple docstring'''


						if n == 2:
												return True
						if not n % 2 or n < 2:
												return False
						if n > 5 and n % 10 not in (1, 3, 7, 9):  # can quickly check last digit
												return False
						if n > 3_317_044_064_679_887_385_961_981 and not allow_probable:
												raise ValueError(
												    "Warning: upper bound of deterministic test is exceeded. "
												    "Pass allow_probable=True to allow probabilistic test. "
												    "A return value of True indicates a probable prime."     )
						# array bounds provided by analysis
						SCREAMING_SNAKE_CASE__     :				List[str]   =					[
						    2_047,
						    1_373_653,
						    25_326_001,
						    3_215_031_751,
						    2_152_302_898_747,
						    3_474_749_660_383,
						    341_550_071_728_321,
						    1,
						    3_825_123_056_546_413_051,
						    1,
						    1,
						    318_665_857_834_031_151_167_461,
						    3_317_044_064_679_887_385_961_981,
						]

						SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41]
						for idx, _p in enumerate(_lowerCamelCase			,   1     ):
												if n < _p:
																		# then we have our last prime to check
																		SCREAMING_SNAKE_CASE__     :				Dict   =					primes[:idx]
																		break
						SCREAMING_SNAKE_CASE__,							SCREAMING_SNAKE_CASE__     :				Dict   =					n - 1, 0
						# break up n -1 into a power of 2 (s) and
						# remaining odd component
						# essentially, solve for d * 2 ** s == n - 1
						while d % 2 == 0:
												d //= 2
												s += 1
						for prime in plist:
												SCREAMING_SNAKE_CASE__     :				str   =					False
												for r in range(_lowerCamelCase     ):
																		SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					pow(_lowerCamelCase			,   d * 2**r			,   _lowerCamelCase     )
																		# see article for analysis explanation for m
																		if (r == 0 and m == 1) or ((m + 1) % n == 0):
																								SCREAMING_SNAKE_CASE__     :				str   =					True
																								# this loop will not determine compositeness
																								break
												if pr:
																		continue
												# if pr is False, then the above loop never evaluated to true,
												# and the n MUST be composite
												return False
						return True







def       UpperCAmelCase							(     ):





						'''simple docstring'''


						assert not miller_rabin(561     )
						assert miller_rabin(563     )
						# 2047

						assert not miller_rabin(838_201     )
						assert miller_rabin(838_207     )
						# 1_373_653

						assert not miller_rabin(17_316_001     )
						assert miller_rabin(17_316_017     )
						# 25_326_001

						assert not miller_rabin(3_078_386_641     )
						assert miller_rabin(3_078_386_653     )
						# 3_215_031_751

						assert not miller_rabin(1_713_045_574_801     )
						assert miller_rabin(1_713_045_574_819     )
						# 2_152_302_898_747

						assert not miller_rabin(2_779_799_728_307     )
						assert miller_rabin(2_779_799_728_327     )
						# 3_474_749_660_383

						assert not miller_rabin(113_850_023_909_441     )
						assert miller_rabin(113_850_023_909_527     )
						# 341_550_071_728_321

						assert not miller_rabin(1_275_041_018_848_804_351     )
						assert miller_rabin(1_275_041_018_848_804_391     )
						# 3_825_123_056_546_413_051

						assert not miller_rabin(79_666_464_458_507_787_791_867     )
						assert miller_rabin(79_666_464_458_507_787_791_951     )
						# 318_665_857_834_031_151_167_461

						assert not miller_rabin(552_840_677_446_647_897_660_333     )
						assert miller_rabin(552_840_677_446_647_897_660_359     )
						# 3_317_044_064_679_887_385_961_981
						# upper limit for probabilistic test


if __name__ == "__main__":
				test_miller_rabin()