

"""simple docstring"""




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


SCREAMING_SNAKE_CASE_     :			str	  =			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE_     :			Optional[Any]	  =			{
    'vocab_file': {
        'yjernite/retribert-base-uncased': (
            'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'yjernite/retribert-base-uncased': (
            'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json'
        ),
    },
}

SCREAMING_SNAKE_CASE_     :			Union[str, Any]	  =			{
    'yjernite/retribert-base-uncased': 512,
}


SCREAMING_SNAKE_CASE_     :			Tuple	  =			{
    'yjernite/retribert-base-uncased': {'do_lower_case': True},
}


class 		_A       (			__a					):
						__a								=	VOCAB_FILES_NAMES
						__a								=	PRETRAINED_VOCAB_FILES_MAP
						__a								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__a								=	PRETRAINED_INIT_CONFIGURATION
						__a								=	RetriBertTokenizer
						__a								=	['input_ids', 'attention_mask']





						def __init__(  self    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__=True    ,						SCREAMING_SNAKE_CASE__="[UNK]"    ,						SCREAMING_SNAKE_CASE__="[SEP]"    ,						SCREAMING_SNAKE_CASE__="[PAD]"    ,						SCREAMING_SNAKE_CASE__="[CLS]"    ,						SCREAMING_SNAKE_CASE__="[MASK]"    ,						SCREAMING_SNAKE_CASE__=True    ,						SCREAMING_SNAKE_CASE__=None    ,						**SCREAMING_SNAKE_CASE__    ,						)   ->					Union[str, Any]:
									super().__init__(
									    UpperCAmelCase__    ,						tokenizer_file=UpperCAmelCase__    ,						do_lower_case=UpperCAmelCase__    ,						unk_token=UpperCAmelCase__    ,						sep_token=UpperCAmelCase__    ,						pad_token=UpperCAmelCase__    ,						cls_token=UpperCAmelCase__    ,						mask_token=UpperCAmelCase__    ,						tokenize_chinese_chars=UpperCAmelCase__    ,						strip_accents=UpperCAmelCase__    ,						**UpperCAmelCase__    ,						)

									lowerCamelCase__						=			json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
									if (
									    normalizer_state.get("lowercase"    ,						UpperCAmelCase__		) != do_lower_case
									    or normalizer_state.get("strip_accents"    ,						UpperCAmelCase__		) != strip_accents
									    or normalizer_state.get("handle_chinese_chars"    ,						UpperCAmelCase__		) != tokenize_chinese_chars
									):
												lowerCamelCase__						=			getattr(UpperCAmelCase__    ,						normalizer_state.pop("type"		)		)
												lowerCamelCase__						=			do_lower_case
												lowerCamelCase__						=			strip_accents
												lowerCamelCase__						=			tokenize_chinese_chars
												lowerCamelCase__						=			normalizer_class(**UpperCAmelCase__		)

									lowerCamelCase__						=			do_lower_case





						def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__=None		)   ->					str:
									lowerCamelCase__						=			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

									if token_ids_a:
												output += token_ids_a + [self.sep_token_id]

									return output





						def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = None		)   ->					Optional[int]:
									lowerCamelCase__						=			[self.sep_token_id]
									lowerCamelCase__						=			[self.cls_token_id]
									if token_ids_a is None:
												return len(cls + token_ids_a + sep		) * [0]
									return len(cls + token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]





						def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = None		)   ->					Union[str, Any]:
									lowerCamelCase__						=			self._tokenizer.model.save(UpperCAmelCase__    ,						name=UpperCAmelCase__		)
									return tuple(UpperCAmelCase__		)







"""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__		)




