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


lowerCAmelCase__  	=      get_tests_dir("fixtures/spiece.model")
@require_sentencepiece
@require_tokenizers
class 	_a  (							lowerCamelCase_							,		unittest.TestCase					):



	"""simple docstring"""



	__SCREAMING_SNAKE_CASE              =					ErnieMTokenizer
	__SCREAMING_SNAKE_CASE              =					False
	__SCREAMING_SNAKE_CASE              =					True
	__SCREAMING_SNAKE_CASE              =					False
	__SCREAMING_SNAKE_CASE              =					False


	def __lowerCAmelCase      (   self       ):
		super().setUp()

		# We have a SentencePiece fixture for testing
		_lowercase   =ErnieMTokenizer(lowerCAmelCase_       ,  unk_token="<unk>"       ,  pad_token="<pad>"       )
		tokenizer.save_pretrained(self.tmpdirname       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   ="this is a test"
		_lowercase   ="this is a test"
		return input_text, output_text


	def __lowerCAmelCase      (   self       ):
		_lowercase   ="<pad>"
		_lowercase   =0

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


	def __lowerCAmelCase      (   self       ):
		_lowercase   =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(lowerCAmelCase_       )       ,  30000       )


	def __lowerCAmelCase      (   self       ):
		self.assertEqual(self.get_tokenizer().vocab_size       ,  30000       )


	def __lowerCAmelCase      (   self       ):
		if not self.test_rust_tokenizer:
			return

		_lowercase   =self.get_tokenizer()
		_lowercase   =self.get_rust_tokenizer()

		_lowercase   ="I was born in 92000, and this is falsé."

		_lowercase   =tokenizer.tokenize(lowerCAmelCase_       )
		_lowercase   =rust_tokenizer.tokenize(lowerCAmelCase_       )
		self.assertListEqual(lowerCAmelCase_       ,  lowerCAmelCase_       )

		_lowercase   =tokenizer.encode(lowerCAmelCase_       ,  add_special_tokens=lowerCAmelCase_       )
		_lowercase   =rust_tokenizer.encode(lowerCAmelCase_       ,  add_special_tokens=lowerCAmelCase_       )
		self.assertListEqual(lowerCAmelCase_       ,  lowerCAmelCase_       )

		_lowercase   =self.get_rust_tokenizer()
		_lowercase   =tokenizer.encode(lowerCAmelCase_       )
		_lowercase   =rust_tokenizer.encode(lowerCAmelCase_       )
		self.assertListEqual(lowerCAmelCase_       ,  lowerCAmelCase_       )


	def __lowerCAmelCase      (   self       ):
		_lowercase   =ErnieMTokenizer(lowerCAmelCase_       ,  do_lower_case=lowerCAmelCase_       ,  unk_token="<unk>"       ,  pad_token="<pad>"       )

		_lowercase   =tokenizer.tokenize("This is a test"       )
		self.assertListEqual(lowerCAmelCase_       ,  ["▁this", "▁is", "▁a", "▁test"]       )

		self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_       )       ,  [48, 25, 21, 1289]       )

		_lowercase   =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(
		    lowerCAmelCase_       ,  ["▁i", "▁was", "▁born", "▁in", "9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."]       )
		_lowercase   =tokenizer.convert_tokens_to_ids(lowerCAmelCase_       )
		self.assertListEqual(lowerCAmelCase_       ,  [31, 23, 386, 19, 518, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]       )

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


	def __lowerCAmelCase      (   self       ):
		_lowercase   =ErnieMTokenizer(lowerCAmelCase_       ,  unk_token="<unk>"       ,  pad_token="<pad>"       )

		_lowercase   =tokenizer.encode("sequence builders"       )
		_lowercase   =tokenizer.encode("multi-sequence build"       )

		_lowercase   =tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_       )
		_lowercase   =tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_       ,  lowerCAmelCase_       )

		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 __lowerCAmelCase      (   self       ):
		# fmt: off
		_lowercase   ={"input_ids": [[0, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 9, 304, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 5, 5, 5, 16, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 6460, 1328, 4589, 42, 122009, 115774, 23, 3559, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [0, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 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, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 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=lowerCAmelCase_       ,  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"""






def __lowercase  (   lowerCamelCase_	:   list	):
				if not isinstance(lowerCamelCase_    ,       lowerCamelCase_	):
								raise ValueError("Input series is not valid, valid series - [2, 4, 8]"	)
				if len(lowerCamelCase_	) == 0:
								raise ValueError("Input list must be a non empty list"	)
				if len(lowerCamelCase_	) == 1:
								return True
				try:
								SCREAMING_SNAKE_CASE__  				=					series[1] / series[0]
								for index in range(len(lowerCamelCase_	) - 1	):
												if series[index + 1] / series[index] != common_ratio:
																return False
				except ZeroDivisionError:
								return False
				return True


def __lowercase  (   lowerCamelCase_	:   list	):
				if not isinstance(lowerCamelCase_    ,       lowerCamelCase_	):
								raise ValueError("Input series is not valid, valid series - [2, 4, 8]"	)
				if len(lowerCamelCase_	) == 0:
								raise ValueError("Input list must be a non empty list"	)
				SCREAMING_SNAKE_CASE__  				=					1
				for value in series:
								answer *= value
				return pow(lowerCamelCase_    ,       1 / len(lowerCamelCase_	)	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
