
"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE_					     =	{
    'configuration_convbert': ['CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ConvBertConfig', 'ConvBertOnnxConfig'],
    'tokenization_convbert': ['ConvBertTokenizer'],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE_					     =	['ConvBertTokenizerFast']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE_					     =	[
			    'CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'ConvBertForMaskedLM',
			    'ConvBertForMultipleChoice',
			    'ConvBertForQuestionAnswering',
			    'ConvBertForSequenceClassification',
			    'ConvBertForTokenClassification',
			    'ConvBertLayer',
			    'ConvBertModel',
			    'ConvBertPreTrainedModel',
			    'load_tf_weights_in_convbert',
			]


try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE_					     =	[
			    'TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'TFConvBertForMaskedLM',
			    'TFConvBertForMultipleChoice',
			    'TFConvBertForQuestionAnswering',
			    'TFConvBertForSequenceClassification',
			    'TFConvBertForTokenClassification',
			    'TFConvBertLayer',
			    'TFConvBertModel',
			    'TFConvBertPreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertOnnxConfig
			from .tokenization_convbert import ConvBertTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_convbert_fast import ConvBertTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_convbert import (
						    CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ConvBertForMaskedLM,
						    ConvBertForMultipleChoice,
						    ConvBertForQuestionAnswering,
						    ConvBertForSequenceClassification,
						    ConvBertForTokenClassification,
						    ConvBertLayer,
						    ConvBertModel,
						    ConvBertPreTrainedModel,
						    load_tf_weights_in_convbert,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_convbert import (
						    TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TFConvBertForMaskedLM,
						    TFConvBertForMultipleChoice,
						    TFConvBertForQuestionAnswering,
						    TFConvBertForSequenceClassification,
						    TFConvBertForTokenClassification,
						    TFConvBertLayer,
						    TFConvBertModel,
						    TFConvBertPreTrainedModel,
						)


else:
			import sys

			SCREAMING_SNAKE_CASE_					     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class        lowerCAmelCase__					(  _lowerCamelCase ,				unittest.TestCase       ):
				A_   :     int								=     CTRLTokenizer
				A_   :     List[str]								=     False
				A_   :     str								=     False


				def __UpperCamelCase						(							self      :  Any       )		->     Tuple:
											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											A      						=    ['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
											A      						=    dict(zip(__UpperCamelCase						, range(len(__UpperCamelCase       )       )       )       )
											A      						=    ['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
											A      						=    {'unk_token': '<unk>'}

											A      						=    os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['vocab_file']       )
											A      						=    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(__UpperCamelCase       ) + '\n'       )
											with open(self.merges_file						, 'w'						, encoding='utf-8'       ) as fp:
																		fp.write('\n'.join(__UpperCamelCase       )       )


				def __UpperCamelCase						(							self      :  Optional[Any]						, **__UpperCamelCase      :  List[str]       )		->     List[Any]:
											kwargs.update(self.special_tokens_map       )
											return CTRLTokenizer.from_pretrained(self.tmpdirname						, **__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  int						, __UpperCamelCase      :  Optional[int]       )		->     Optional[Any]:
											A      						=    'adapt react readapt apt'
											A      						=    'adapt react readapt apt'
											return input_text, output_text


				def __UpperCamelCase						(							self      :  List[Any]       )		->     Optional[int]:
											A      						=    CTRLTokenizer(self.vocab_file						, self.merges_file						, **self.special_tokens_map       )
											A      						=    'adapt react readapt apt'
											A      						=    'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
											A      						=    tokenizer.tokenize(__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )

											A      						=    tokens + [tokenizer.unk_token]

											A      						=    [0, 1, 2, 4, 5, 1, 0, 3, 6]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase       )						, __UpperCamelCase       )