

"""simple docstring"""




import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE_     :			Tuple	  =			"▁"

SCREAMING_SNAKE_CASE_     :			str	  =			get_tests_dir('''fixtures/test_sentencepiece.model''')


@require_sentencepiece
@require_tokenizers
class 		_A       (			_UpperCAmelCase				,       unittest.TestCase					):
						__a								=	BigBirdTokenizer
						__a								=	BigBirdTokenizerFast
						__a								=	True
						__a								=	True





						def 					_lowerCamelCase  (  self		)   ->					Union[str, Any]:
									super().setUp()

									lowerCamelCase__						=			self.tokenizer_class(lowerCamelCase_    ,						keep_accents=lowerCamelCase_		)
									tokenizer.save_pretrained(self.tmpdirname		)





						def 					_lowerCamelCase  (  self		)   ->					List[str]:
									lowerCamelCase__						=			'''<s>'''
									lowerCamelCase__						=			1

									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		)   ->					str:
									lowerCamelCase__						=			list(self.get_tokenizer().get_vocab().keys()		)

									self.assertEqual(vocab_keys[0]    ,						"<unk>"		)
									self.assertEqual(vocab_keys[1]    ,						"<s>"		)
									self.assertEqual(vocab_keys[-1]    ,						"[MASK]"		)
									self.assertEqual(len(lowerCamelCase_		)    ,						1004		)





						def 					_lowerCamelCase  (  self		)   ->					int:
									self.assertEqual(self.get_tokenizer().vocab_size    ,						1000		)





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




									if not self.test_rust_tokenizer:
												return

									lowerCamelCase__						=			self.get_tokenizer()
									lowerCamelCase__						=			self.get_rust_tokenizer()

									lowerCamelCase__						=			'''I was born in 92000, and this is falsé.'''

									lowerCamelCase__						=			tokenizer.tokenize(lowerCamelCase_		)
									lowerCamelCase__						=			rust_tokenizer.tokenize(lowerCamelCase_		)
									self.assertListEqual(lowerCamelCase_    ,						lowerCamelCase_		)

									lowerCamelCase__						=			tokenizer.encode(lowerCamelCase_    ,						add_special_tokens=lowerCamelCase_		)
									lowerCamelCase__						=			rust_tokenizer.encode(lowerCamelCase_    ,						add_special_tokens=lowerCamelCase_		)
									self.assertListEqual(lowerCamelCase_    ,						lowerCamelCase_		)

									lowerCamelCase__						=			self.get_rust_tokenizer()
									lowerCamelCase__						=			tokenizer.encode(lowerCamelCase_		)
									lowerCamelCase__						=			rust_tokenizer.encode(lowerCamelCase_		)
									self.assertListEqual(lowerCamelCase_    ,						lowerCamelCase_		)





						def 					_lowerCamelCase  (  self		)   ->					Optional[Any]:
									lowerCamelCase__						=			BigBirdTokenizer(lowerCamelCase_    ,						keep_accents=lowerCamelCase_		)

									lowerCamelCase__						=			tokenizer.tokenize("This is a test"		)
									self.assertListEqual(lowerCamelCase_    ,						["▁This", "▁is", "▁a", "▁t", "est"]		)

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(lowerCamelCase_		)    ,						[285, 46, 10, 170, 382]    ,						)

									lowerCamelCase__						=			tokenizer.tokenize("I was born in 92000, and this is falsé."		)
									self.assertListEqual(
									    lowerCamelCase_    ,						[
									        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",
									        ".",
									    ]    ,						)
									lowerCamelCase__						=			tokenizer.convert_tokens_to_ids(lowerCamelCase_		)
									self.assertListEqual(
									    lowerCamelCase_    ,						[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]    ,						)

									lowerCamelCase__						=			tokenizer.convert_ids_to_tokens(lowerCamelCase_		)
									self.assertListEqual(
									    lowerCamelCase_    ,						[
									        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 					_lowerCamelCase  (  self		)   ->					Optional[int]:
									return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)





						@slow
						def 					_lowerCamelCase  (  self		)   ->					Optional[Any]:
									lowerCamelCase__						=			'''Hello World!'''
									lowerCamelCase__						=			[65, 18536, 2260, 101, 66]

									self.assertListEqual(lowerCamelCase_    ,						self.big_tokenizer.encode(lowerCamelCase_		)		)





						@slow
						def 					_lowerCamelCase  (  self		)   ->					List[Any]:
									lowerCamelCase__						=			(
									    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
									    ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
									)
									# fmt: off
									lowerCamelCase__						=			[65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
									# fmt: on
									self.assertListEqual(lowerCamelCase_    ,						self.big_tokenizer.encode(lowerCamelCase_		)		)





						@require_torch
						@slow
						def 					_lowerCamelCase  (  self		)   ->					Tuple:
									import torch

									from transformers import BigBirdConfig, BigBirdModel

									# Build sequence
									lowerCamelCase__						=			list(self.big_tokenizer.get_vocab().keys()		)[:10]
									lowerCamelCase__						=			''' '''.join(lowerCamelCase_		)
									lowerCamelCase__						=			self.big_tokenizer.encode_plus(lowerCamelCase_    ,						return_tensors="pt"    ,						return_token_type_ids=lowerCamelCase_		)
									lowerCamelCase__						=			self.big_tokenizer.batch_encode_plus(
									    [sequence + " " + sequence]    ,						return_tensors="pt"    ,						return_token_type_ids=lowerCamelCase_		)

									lowerCamelCase__						=			BigBirdConfig(attention_type="original_full"		)
									lowerCamelCase__						=			BigBirdModel(lowerCamelCase_		)

									assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

									with torch.no_grad():
												model(**lowerCamelCase_		)
												model(**lowerCamelCase_		)





						@slow
						def 					_lowerCamelCase  (  self		)   ->					int:
									lowerCamelCase__						=			BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)
									lowerCamelCase__						=			tokenizer.decode(tokenizer("Paris is the [MASK]."		).input_ids		)

									self.assertTrue(decoded_text == "[CLS] Paris is the[MASK].[SEP]"		)





						@slow
						def 					_lowerCamelCase  (  self		)   ->					str:
									lowerCamelCase__						=			{'''input_ids''': [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=lowerCamelCase_    ,						model_name="google/bigbird-roberta-base"    ,						revision="215c99f1600e06f83acce68422f2035b2b5c3510"    ,						)







"""simple docstring"""




import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class 		_A       (			__a				,       unittest.TestCase					):
      __a								=	PhobertTokenizer
      __a								=	False





      def 					_lowerCamelCase  (  self		)   ->					Any:
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         lowerCamelCase__						=			["T@@", "i", "I", "R@@", "r", "e@@"]
         lowerCamelCase__						=			dict(zip(SCREAMING_SNAKE_CASE__    ,						range(len(SCREAMING_SNAKE_CASE__		)		)		)		)
         lowerCamelCase__						=			["#version: 0.2", "l à</w>"]
         lowerCamelCase__						=			{"unk_token": "<unk>"}

         lowerCamelCase__						=			os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["vocab_file"]		)
         lowerCamelCase__						=			os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["merges_file"]		)

         with open(self.vocab_file    ,						"w"    ,						encoding="utf-8"		) as fp:
            for token in vocab_tokens:
               fp.write(f'{token} {vocab_tokens[token]}\n'		)
         with open(self.merges_file    ,						"w"    ,						encoding="utf-8"		) as fp:
            fp.write("\n".join(SCREAMING_SNAKE_CASE__		)		)





      def 					_lowerCamelCase  (  self    ,						**SCREAMING_SNAKE_CASE__		)   ->					Tuple:
         kwargs.update(self.special_tokens_map		)
         return PhobertTokenizer.from_pretrained(self.tmpdirname    ,						**SCREAMING_SNAKE_CASE__		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Tuple:
         lowerCamelCase__						=			"Tôi là VinAI Research"
         lowerCamelCase__						=			"T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
         return input_text, output_text





      def 					_lowerCamelCase  (  self		)   ->					Tuple:
         lowerCamelCase__						=			PhobertTokenizer(self.vocab_file    ,						self.merges_file    ,						**self.special_tokens_map		)
         lowerCamelCase__						=			"Tôi là VinAI Research"
         lowerCamelCase__						=			"T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
         lowerCamelCase__						=			tokenizer.tokenize(SCREAMING_SNAKE_CASE__		)
         print(SCREAMING_SNAKE_CASE__		)
         self.assertListEqual(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		)

         lowerCamelCase__						=			tokens + [tokenizer.unk_token]

         lowerCamelCase__						=			[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)    ,						SCREAMING_SNAKE_CASE__		)




