

"""simple docstring"""


import unittest

from transformers import ErnieMTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__A		     =    get_tests_dir("fixtures/spiece.model")





@require_sentencepiece
@require_tokenizers
class 					snake_case			(       UpperCAmelCase_,							unittest.TestCase						):
				SCREAMING_SNAKE_CASE_     :   List[Any]        =						ErnieMTokenizer
				SCREAMING_SNAKE_CASE_     :   Optional[int]        =						False
				SCREAMING_SNAKE_CASE_     :   Optional[Any]        =						True
				SCREAMING_SNAKE_CASE_     :   Optional[int]        =						False
				SCREAMING_SNAKE_CASE_     :   Union[str, Any]        =						False

				def 							lowercase_  (			self							:       Tuple)->     List[str]:



											'''simple docstring'''


											super().setUp()

											# We have a SentencePiece fixture for testing
											__lowerCAmelCase: List[str]					   =    ErnieMTokenizer(UpperCamelCase__  ,						unk_token="<unk>"  ,						pad_token="<pad>")
											tokenizer.save_pretrained(self.tmpdirname)

				def 							lowercase_  (			self							:       List[Any]  ,						UpperCamelCase__							:       List[str])->     Optional[Any]:



											'''simple docstring'''


											__lowerCAmelCase: Dict					   =    "this is a test"
											__lowerCAmelCase: Optional[int]					   =    "this is a test"
											return input_text, output_text

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



											'''simple docstring'''


											__lowerCAmelCase: str					   =    "<pad>"
											__lowerCAmelCase: 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 							lowercase_  (			self							:       Union[str, Any])->     Tuple:



											'''simple docstring'''


											__lowerCAmelCase: Optional[Any]					   =    list(self.get_tokenizer().get_vocab().keys())

											self.assertEqual(vocab_keys[0]  ,						"<pad>")
											self.assertEqual(vocab_keys[1]  ,						"<unk>")
											self.assertEqual(vocab_keys[-1]  ,						"▁eloquent")
											self.assertEqual(len(UpperCamelCase__)  ,						3_0_0_0_0)

				def 							lowercase_  (			self							:       Optional[Any])->     Optional[Any]:



											'''simple docstring'''


											self.assertEqual(self.get_tokenizer().vocab_size  ,						3_0_0_0_0)

				def 							lowercase_  (			self							:       str)->     Tuple:



											'''simple docstring'''


											if not self.test_rust_tokenizer:
																		return

											__lowerCAmelCase: List[Any]					   =    self.get_tokenizer()
											__lowerCAmelCase: List[Any]					   =    self.get_rust_tokenizer()

											__lowerCAmelCase: Dict					   =    "I was born in 92000, and this is falsé."

											__lowerCAmelCase: Tuple					   =    tokenizer.tokenize(UpperCamelCase__)
											__lowerCAmelCase: Optional[int]					   =    rust_tokenizer.tokenize(UpperCamelCase__)
											self.assertListEqual(UpperCamelCase__  ,						UpperCamelCase__)

											__lowerCAmelCase: Tuple					   =    tokenizer.encode(UpperCamelCase__  ,						add_special_tokens=UpperCamelCase__)
											__lowerCAmelCase: Optional[Any]					   =    rust_tokenizer.encode(UpperCamelCase__  ,						add_special_tokens=UpperCamelCase__)
											self.assertListEqual(UpperCamelCase__  ,						UpperCamelCase__)

											__lowerCAmelCase: int					   =    self.get_rust_tokenizer()
											__lowerCAmelCase: Union[str, Any]					   =    tokenizer.encode(UpperCamelCase__)
											__lowerCAmelCase: List[Any]					   =    rust_tokenizer.encode(UpperCamelCase__)
											self.assertListEqual(UpperCamelCase__  ,						UpperCamelCase__)

				def 							lowercase_  (			self							:       int)->     Any:



											'''simple docstring'''


											__lowerCAmelCase: Tuple					   =    ErnieMTokenizer(UpperCamelCase__  ,						do_lower_case=UpperCamelCase__  ,						unk_token="<unk>"  ,						pad_token="<pad>")

											__lowerCAmelCase: Optional[int]					   =    tokenizer.tokenize("This is a test")
											self.assertListEqual(UpperCamelCase__  ,						["▁this", "▁is", "▁a", "▁test"])

											self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__)  ,						[4_8, 2_5, 2_1, 1_2_8_9])

											__lowerCAmelCase: List[Any]					   =    tokenizer.tokenize("I was born in 92000, and this is falsé.")
											# ErnieMTokenizer(paddlenlp implementation) outputs '9' instead of '_9' so to mimic that '_9' is changed to '9'
											self.assertListEqual(
											    UpperCamelCase__  ,						["▁i", "▁was", "▁born", "▁in", "9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."])
											__lowerCAmelCase: Optional[Any]					   =    tokenizer.convert_tokens_to_ids(UpperCamelCase__)
											self.assertListEqual(UpperCamelCase__  ,						[3_1, 2_3, 3_8_6, 1_9, 5_1_8, 3_0_5_0, 1_5, 1_7, 4_8, 2_5, 8_2_5_6, 1_8, 1, 9])

											__lowerCAmelCase: int					   =    tokenizer.convert_ids_to_tokens(UpperCamelCase__)
											self.assertListEqual(
											    UpperCamelCase__  ,						["▁i", "▁was", "▁born", "▁in", "9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "."]  ,						)

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



											'''simple docstring'''


											__lowerCAmelCase: Tuple					   =    ErnieMTokenizer(UpperCamelCase__  ,						unk_token="<unk>"  ,						pad_token="<pad>")

											__lowerCAmelCase: List[Any]					   =    tokenizer.encode("sequence builders")
											__lowerCAmelCase: Optional[Any]					   =    tokenizer.encode("multi-sequence build")

											__lowerCAmelCase: str					   =    tokenizer.build_inputs_with_special_tokens(UpperCamelCase__)
											__lowerCAmelCase: Tuple					   =    tokenizer.build_inputs_with_special_tokens(UpperCamelCase__  ,						UpperCamelCase__)

											assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
											assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + [
											    tokenizer.sep_token_id
											] + text_a + [tokenizer.sep_token_id]




				@slow
				def 							lowercase_  (			self							:       Dict)->     Union[str, Any]:



											'''simple docstring'''


											__lowerCAmelCase: str					   =    {"input_ids": [[0, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 9, 3_0_4, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 5, 5, 5, 1_6, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 6_4_6_0, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 3_5_5_9, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [0, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 7, 5, 2, 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, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 5, 2, 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]]}
											# fmt: on

											self.tokenizer_integration_test_util(
											    expected_encoding=UpperCamelCase__  ,						model_name="susnato/ernie-m-base_pytorch"  ,						sequences=[
											        "Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides "
											        "general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet...) for Natural "
											        "Language Understanding (NLU) and Natural Language Generation (NLG) with over32+ pretrained "
											        "models in100+ languages and deep interoperability between Jax, PyTorch and TensorFlow.",
											        "BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly "
											        "conditioning on both left and right context in all layers.",
											        "The quick brown fox jumps over the lazy dog.",
											    ]  ,						)





"""simple docstring"""


import math






def 					a__					(					__SCREAMING_SNAKE_CASE				)			->			list:
		if n <= 0:
				raise ValueError("Only positive integers have prime factors"				)
		__lowerCAmelCase: Tuple					   =    []
		while n % 2 == 0:
				pf.append(2				)
				__lowerCAmelCase: str					   =    int(n / 2				)
		for i in range(3      ,				int(math.sqrt(__SCREAMING_SNAKE_CASE				)				) + 1      ,				2				):
				while n % i == 0:
						pf.append(__SCREAMING_SNAKE_CASE				)
						__lowerCAmelCase: List[Any]					   =    int(n / i				)
		if n > 2:
				pf.append(__SCREAMING_SNAKE_CASE				)
		return pf






def 					a__					(					__SCREAMING_SNAKE_CASE				)			->			int:
		if n <= 0:
				raise ValueError("Only positive numbers are accepted"				)
		__lowerCAmelCase: int					   =    1
		__lowerCAmelCase: str					   =    1
		while n % 2 == 0:
				temp += 1
				__lowerCAmelCase: Dict					   =    int(n / 2				)
		div *= temp
		for i in range(3      ,				int(math.sqrt(__SCREAMING_SNAKE_CASE				)				) + 1      ,				2				):
				__lowerCAmelCase: int					   =    1
				while n % i == 0:
						temp += 1
						__lowerCAmelCase: Tuple					   =    int(n / i				)
				div *= temp
		if n > 1:
				div *= 2
		return div






def 					a__					(					__SCREAMING_SNAKE_CASE				)			->			int:
		if n <= 0:
				raise ValueError("Only positive numbers are accepted"				)
		__lowerCAmelCase: Dict					   =    1
		__lowerCAmelCase: int					   =    1
		while n % 2 == 0:
				temp += 1
				__lowerCAmelCase: Tuple					   =    int(n / 2				)
		if temp > 1:
				s *= (2**temp - 1) / (2 - 1)
		for i in range(3      ,				int(math.sqrt(__SCREAMING_SNAKE_CASE				)				) + 1      ,				2				):
				__lowerCAmelCase: List[Any]					   =    1
				while n % i == 0:
						temp += 1
						__lowerCAmelCase: List[str]					   =    int(n / i				)
				if temp > 1:
						s *= (i**temp - 1) / (i - 1)
		return int(__SCREAMING_SNAKE_CASE				)






def 					a__					(					__SCREAMING_SNAKE_CASE				)			->			int:
		__lowerCAmelCase: Optional[int]					   =    n
		for x in set(prime_factors(__SCREAMING_SNAKE_CASE				)				):
				s *= (x - 1) / x
		return int(__SCREAMING_SNAKE_CASE				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()


