





"""simple docstring"""





import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 						lowercase   (   lowerCAmelCase_	,    unittest.TestCase   ):
      _SCREAMING_SNAKE_CASE							      = LongformerTokenizer
      _SCREAMING_SNAKE_CASE							      = True
      _SCREAMING_SNAKE_CASE							      = LongformerTokenizerFast
      _SCREAMING_SNAKE_CASE							      = True





      def        _snake_case     (			self					)						->	int:
            super().setUp()

            # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
            lowerCAmelCase    		=			[
                'l',
                'o',
                'w',
                'e',
                'r',
                's',
                't',
                'i',
                'd',
                'n',
                '\u0120',
                '\u0120l',
                '\u0120n',
                '\u0120lo',
                '\u0120low',
                'er',
                '\u0120lowest',
                '\u0120newer',
                '\u0120wider',
                '<unk>',
            ]
            lowerCAmelCase    		=			dict(zip(__lowerCamelCase ,		range(len(__lowerCamelCase					)					)					)					)
            lowerCAmelCase    		=			['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
            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:
                  fp.write(json.dumps(__lowerCamelCase					) + """\n"""					)
            with open(self.merges_file ,		"""w""" ,		encoding="""utf-8"""					) as fp:
                  fp.write("""\n""".join(__lowerCamelCase					)					)





      def        _snake_case     (			self ,		**lowercase					)						->	List[str]:
            kwargs.update(self.special_tokens_map					)
            return self.tokenizer_class.from_pretrained(self.tmpdirname ,		**__lowerCamelCase					)





      def        _snake_case     (			self ,		**lowercase					)						->	Union[str, Any]:
            kwargs.update(self.special_tokens_map					)
            return self.rust_tokenizer_class.from_pretrained(self.tmpdirname ,		**__lowerCamelCase					)





      def        _snake_case     (			self ,		lowercase					)						->	Optional[int]:
            lowerCAmelCase    		=			'lower newer'
            lowerCAmelCase    		=			'lower newer'
            return input_text, output_text





      def        _snake_case     (			self					)						->	List[str]:
            lowerCAmelCase    		=			self.tokenizer_class(self.vocab_file ,		self.merges_file ,		**self.special_tokens_map					)
            lowerCAmelCase    		=			'lower newer'
            lowerCAmelCase    		=			['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
            lowerCAmelCase    		=			tokenizer.tokenize(__lowerCamelCase					)  # , add_prefix_space=True)
            self.assertListEqual(__lowerCamelCase ,		__lowerCamelCase					)

            lowerCAmelCase    		=			tokens + [tokenizer.unk_token]
            lowerCAmelCase    		=			[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase					) ,		__lowerCamelCase					)





      def        _snake_case     (			self					)						->	Union[str, Any]:
            lowerCAmelCase    		=			self.get_tokenizer()

            self.assertListEqual(tokenizer.encode("""Hello world!""" ,		add_special_tokens=__lowerCamelCase					) ,		[0, 31_414, 232, 328, 2]					)
            self.assertListEqual(
                tokenizer.encode("""Hello world! cécé herlolip 418""" ,		add_special_tokens=__lowerCamelCase					) ,		[0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2] ,		)





      @slow
      def        _snake_case     (			self					)						->	str:
            lowerCAmelCase    		=			self.tokenizer_class.from_pretrained("""allenai/longformer-base-4096"""					)

            lowerCAmelCase    		=			tokenizer.encode("""sequence builders""" ,		add_special_tokens=__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.encode("""multi-sequence build""" ,		add_special_tokens=__lowerCamelCase					)

            lowerCAmelCase    		=			tokenizer.encode(
                """sequence builders""" ,		add_special_tokens=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.encode(
                """sequence builders""" ,		"""multi-sequence build""" ,		add_special_tokens=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase					)

            lowerCAmelCase    		=			tokenizer.build_inputs_with_special_tokens(__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.build_inputs_with_special_tokens(__lowerCamelCase ,		__lowerCamelCase					)

            assert encoded_sentence == encoded_text_from_decode
            assert encoded_pair == encoded_pair_from_decode





      def        _snake_case     (			self					)						->	Dict:
            lowerCAmelCase    		=			self.get_tokenizer()

            lowerCAmelCase    		=			'Encode this sequence.'
            lowerCAmelCase    		=			tokenizer.byte_encoder[' '.encode("""utf-8"""					)[0]]

            # Testing encoder arguments
            lowerCAmelCase    		=			tokenizer.encode(__lowerCamelCase ,		add_special_tokens=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
            self.assertNotEqual(__lowerCamelCase ,		__lowerCamelCase					)

            lowerCAmelCase    		=			tokenizer.encode(__lowerCamelCase ,		add_special_tokens=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
            self.assertEqual(__lowerCamelCase ,		__lowerCamelCase					)

            tokenizer.add_special_tokens({"""bos_token""": """<s>"""}					)
            lowerCAmelCase    		=			tokenizer.encode(__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.convert_ids_to_tokens(encoded[1]					)[0]
            self.assertNotEqual(__lowerCamelCase ,		__lowerCamelCase					)

            # Testing spaces after special tokens
            lowerCAmelCase    		=			'<mask>'
            tokenizer.add_special_tokens(
                {"""mask_token""": AddedToken(__lowerCamelCase ,		lstrip=__lowerCamelCase ,		rstrip=__lowerCamelCase					)}					)  # mask token has a left space
            lowerCAmelCase    		=			tokenizer.convert_tokens_to_ids(__lowerCamelCase					)

            lowerCAmelCase    		=			'Encode <mask> sequence'
            lowerCAmelCase    		=			'Encode <mask>sequence'

            lowerCAmelCase    		=			tokenizer.encode(__lowerCamelCase					)
            lowerCAmelCase    		=			encoded.index(__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
            self.assertEqual(__lowerCamelCase ,		__lowerCamelCase					)

            lowerCAmelCase    		=			tokenizer.encode(__lowerCamelCase					)
            lowerCAmelCase    		=			encoded.index(__lowerCamelCase					)
            lowerCAmelCase    		=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
            self.assertNotEqual(__lowerCamelCase ,		__lowerCamelCase					)





      def        _snake_case     (			self					)						->	List[str]:
            pass





      def        _snake_case     (			self					)						->	int:
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'					):
                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(__lowerCamelCase ,		**__lowerCamelCase					)
                        lowerCAmelCase    		=			self.tokenizer_class.from_pretrained(__lowerCamelCase ,		**__lowerCamelCase					)
                        lowerCAmelCase    		=			'A, <mask> AllenNLP sentence.'
                        lowerCAmelCase    		=			tokenizer_r.encode_plus(__lowerCamelCase ,		add_special_tokens=__lowerCamelCase ,		return_token_type_ids=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_p.encode_plus(__lowerCamelCase ,		add_special_tokens=__lowerCamelCase ,		return_token_type_ids=__lowerCamelCase					)

                        # token_type_ids should put 0 everywhere
                        self.assertEqual(sum(tokens_r["""token_type_ids"""]					) ,		sum(tokens_p["""token_type_ids"""]					)					)

                        # attention_mask should put 1 everywhere, so sum over length should be 1
                        self.assertEqual(
                            sum(tokens_r["""attention_mask"""]					) / len(tokens_r["""attention_mask"""]					) ,		sum(tokens_p["""attention_mask"""]					) / len(tokens_p["""attention_mask"""]					) ,		)

                        lowerCAmelCase    		=			tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]					)
                        lowerCAmelCase    		=			tokenizer_p.convert_ids_to_tokens(tokens_p["""input_ids"""]					)

                        # Rust correctly handles the space before the mask while python doesnt
                        self.assertSequenceEqual(tokens_p["""input_ids"""] ,		[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]					)
                        self.assertSequenceEqual(tokens_r["""input_ids"""] ,		[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]					)

                        self.assertSequenceEqual(
                            __lowerCamelCase ,		["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]					)
                        self.assertSequenceEqual(
                            __lowerCamelCase ,		["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]					)





      def        _snake_case     (			self					)						->	Any:
            for trim_offsets, add_prefix_space in itertools.product([True, False] ,		repeat=2					):
                  lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                      self.tmpdirname ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)

                  lowerCAmelCase    		=			json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()					)
                  lowerCAmelCase    		=			json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()					)

                  self.assertEqual(pre_tokenizer_state["""add_prefix_space"""] ,		__lowerCamelCase					)

                  self.assertEqual(post_processor_state["""add_prefix_space"""] ,		__lowerCamelCase					)
                  self.assertEqual(post_processor_state["""trim_offsets"""] ,		__lowerCamelCase					)





      def        _snake_case     (			self					)						->	List[str]:
            # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
            # `trim_offsets`
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'					):
                        lowerCAmelCase    		=			'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                        lowerCAmelCase    		=			f'{text_of_1_token} {text_of_1_token}'

                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                            __lowerCamelCase ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_r(__lowerCamelCase ,		return_offsets_mapping=__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
                        self.assertEqual(encoding.offset_mapping[0] ,		(0, len(__lowerCamelCase					))					)
                        self.assertEqual(
                            encoding.offset_mapping[1] ,		(len(__lowerCamelCase					) + 1, len(__lowerCamelCase					) + 1 + len(__lowerCamelCase					)) ,		)

                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                            __lowerCamelCase ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_r(__lowerCamelCase ,		return_offsets_mapping=__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
                        self.assertEqual(encoding.offset_mapping[0] ,		(0, len(__lowerCamelCase					))					)
                        self.assertEqual(
                            encoding.offset_mapping[1] ,		(len(__lowerCamelCase					) + 1, len(__lowerCamelCase					) + 1 + len(__lowerCamelCase					)) ,		)

                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                            __lowerCamelCase ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_r(__lowerCamelCase ,		return_offsets_mapping=__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
                        self.assertEqual(encoding.offset_mapping[0] ,		(0, len(__lowerCamelCase					))					)
                        self.assertEqual(
                            encoding.offset_mapping[1] ,		(len(__lowerCamelCase					), len(__lowerCamelCase					) + 1 + len(__lowerCamelCase					)) ,		)

                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                            __lowerCamelCase ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_r(__lowerCamelCase ,		return_offsets_mapping=__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
                        self.assertEqual(encoding.offset_mapping[0] ,		(0, len(__lowerCamelCase					))					)
                        self.assertEqual(
                            encoding.offset_mapping[1] ,		(len(__lowerCamelCase					), len(__lowerCamelCase					) + 1 + len(__lowerCamelCase					)) ,		)

                        lowerCAmelCase    		=			f' {text}'

                        # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                        #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                        # )
                        # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                        # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                        # self.assertEqual(
                        #     encoding.offset_mapping[1],
                        #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                        # )

                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                            __lowerCamelCase ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_r(__lowerCamelCase ,		return_offsets_mapping=__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
                        self.assertEqual(encoding.offset_mapping[0] ,		(1, 1 + len(__lowerCamelCase					))					)
                        self.assertEqual(
                            encoding.offset_mapping[1] ,		(1 + len(__lowerCamelCase					) + 1, 1 + len(__lowerCamelCase					) + 1 + len(__lowerCamelCase					)) ,		)

                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                            __lowerCamelCase ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_r(__lowerCamelCase ,		return_offsets_mapping=__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
                        self.assertEqual(encoding.offset_mapping[0] ,		(0, 1 + len(__lowerCamelCase					))					)
                        self.assertEqual(
                            encoding.offset_mapping[1] ,		(1 + len(__lowerCamelCase					), 1 + len(__lowerCamelCase					) + 1 + len(__lowerCamelCase					)) ,		)

                        lowerCAmelCase    		=			self.rust_tokenizer_class.from_pretrained(
                            __lowerCamelCase ,		use_fast=__lowerCamelCase ,		add_prefix_space=__lowerCamelCase ,		trim_offsets=__lowerCamelCase					)
                        lowerCAmelCase    		=			tokenizer_r(__lowerCamelCase ,		return_offsets_mapping=__lowerCamelCase ,		add_special_tokens=__lowerCamelCase					)
                        self.assertEqual(encoding.offset_mapping[0] ,		(0, 1 + len(__lowerCamelCase					))					)
                        self.assertEqual(
                            encoding.offset_mapping[1] ,		(1 + len(__lowerCamelCase					), 1 + len(__lowerCamelCase					) + 1 + len(__lowerCamelCase					)) ,		)












'''simple docstring'''






from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *
