
import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 			UpperCamelCase_			(						__UpperCamelCase	,     unittest.TestCase   ):




							'''simple docstring'''

							UpperCamelCase_					   =							HerbertTokenizer
							UpperCamelCase_					   =							HerbertTokenizerFast
							UpperCamelCase_					   =							True
							def        lowerCAmelCase__ (				self) ->	int:
										super().setUp()

										# Use a simpler test file without japanese/chinese characters
										with open(F"""{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"""     ,						encoding='utf-8') as f_data:
													UpperCamelCase__    :		Dict     =				f_data.read().replace('\n\n'     ,						'\n').strip()

										UpperCamelCase__    :		Union[str, Any]     =				[
										    '<s>',
										    '</s>',
										    'l',
										    'o',
										    'w',
										    'e',
										    'r',
										    's',
										    't',
										    'i',
										    'd',
										    'n',
										    'w</w>',
										    'r</w>',
										    't</w>',
										    'lo',
										    'low',
										    'er</w>',
										    'low</w>',
										    'lowest</w>',
										    'newer</w>',
										    'wider</w>',
										    ',</w>',
										    '<unk>',
										]
										UpperCamelCase__    :		List[Any]     =				dict(zip(UpperCamelCase     ,						range(len(UpperCamelCase))))
										UpperCamelCase__    :		Any     =				['l o 123', 'lo w 1456', 'e r</w> 1789', '']

										UpperCamelCase__    :		str     =				os.path.join(self.tmpdirname     ,						VOCAB_FILES_NAMES['vocab_file'])
										UpperCamelCase__    :		List[str]     =				os.path.join(self.tmpdirname     ,						VOCAB_FILES_NAMES['merges_file'])
										with open(self.vocab_file     ,						'w') as fp:
													fp.write(json.dumps(UpperCamelCase))
										with open(self.merges_file     ,						'w') as fp:
													fp.write('\n'.join(UpperCamelCase))
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	Optional[Any]:
										UpperCamelCase__    :		Dict     =				'lower newer'
										UpperCamelCase__    :		int     =				'lower newer'
										return input_text, output_text
							def        lowerCAmelCase__ (				self) ->	Tuple:
										UpperCamelCase__    :		Optional[int]     =				self.tokenizer_class(vocab_file=self.vocab_file     ,						merges_file=self.merges_file)

										UpperCamelCase__    :		int     =				'lower'
										UpperCamelCase__    :		int     =				['low', 'er</w>']
										UpperCamelCase__    :		str     =				tokenizer.tokenize(UpperCamelCase)
										self.assertListEqual(UpperCamelCase     ,						UpperCamelCase)

										UpperCamelCase__    :		List[Any]     =				tokens + ['<unk>']
										UpperCamelCase__    :		Union[str, Any]     =				[16, 17, 23]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase)     ,						UpperCamelCase)
							def        lowerCAmelCase__ (				self) ->	str:
										if not self.test_rust_tokenizer:
													return

										UpperCamelCase__    :		List[str]     =				self.get_tokenizer()
										UpperCamelCase__    :		Optional[int]     =				self.get_rust_tokenizer()

										UpperCamelCase__    :		Union[str, Any]     =				'lower,newer'

										UpperCamelCase__    :		Union[str, Any]     =				tokenizer.tokenize(UpperCamelCase)
										UpperCamelCase__    :		str     =				rust_tokenizer.tokenize(UpperCamelCase)
										self.assertListEqual(UpperCamelCase     ,						UpperCamelCase)

										UpperCamelCase__    :		List[Any]     =				tokenizer.encode(UpperCamelCase     ,						add_special_tokens=UpperCamelCase)
										UpperCamelCase__    :		Dict     =				rust_tokenizer.encode(UpperCamelCase     ,						add_special_tokens=UpperCamelCase)
										self.assertListEqual(UpperCamelCase     ,						UpperCamelCase)

										UpperCamelCase__    :		int     =				self.get_rust_tokenizer()
										UpperCamelCase__    :		Optional[Any]     =				tokenizer.encode(UpperCamelCase)
										UpperCamelCase__    :		str     =				rust_tokenizer.encode(UpperCamelCase)
										self.assertListEqual(UpperCamelCase     ,						UpperCamelCase)






							@slow
							def        lowerCAmelCase__ (				self) ->	List[Any]:
										UpperCamelCase__    :		Dict     =				self.tokenizer_class.from_pretrained('allegro/herbert-base-cased')

										UpperCamelCase__    :		List[str]     =				tokenizer.encode('konstruowanie sekwencji'     ,						add_special_tokens=UpperCamelCase)
										UpperCamelCase__    :		Optional[Any]     =				tokenizer.encode('konstruowanie wielu sekwencji'     ,						add_special_tokens=UpperCamelCase)

										UpperCamelCase__    :		Dict     =				tokenizer.build_inputs_with_special_tokens(UpperCamelCase)
										UpperCamelCase__    :		int     =				tokenizer.build_inputs_with_special_tokens(UpperCamelCase     ,						UpperCamelCase)

										assert encoded_sentence == [0] + text + [2]
										assert encoded_pair == [0] + text + [2] + text_a + [2]





from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


UpperCAmelCase__				:  Tuple       					=				[
    '''AutomaticSpeechRecognition''',
    '''AudioClassification''',
    '''ImageClassification''',
    '''LanguageModeling''',
    '''QuestionAnsweringExtractive''',
    '''Summarization''',
    '''TaskTemplate''',
    '''TextClassification''',
]

UpperCAmelCase__				:  Dict       					=				get_logger(__name__)


UpperCAmelCase__				:  Dict       					=				{
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}



def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     Optional[TaskTemplate]:
			UpperCamelCase__    :		Any     =				task_template_dict.get('task' )
			if task_name is None:
						logger.warning(F"""Couldn't find template for task '{task_name}'. Available templates: {list(__SCREAMING_SNAKE_CASE )}""" )
						return None
			UpperCamelCase__    :		Any     =				NAMEaTEMPLATE.get(__SCREAMING_SNAKE_CASE )
			return template.from_dict(__SCREAMING_SNAKE_CASE )



