import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class     _snake_case  (  snake_case__    ,					unittest.TestCase ):
					lowerCamelCase__:						Tuple     =   TransfoXLTokenizer
					lowerCamelCase__:						List[Any]     =   False
					lowerCamelCase__:						str     =   False
					def       _lowerCamelCase       (     self: int   )			-> Union[str, Any]:
												super().setUp()

												__UpperCAmelCase  :	str   			=      [
												    "<unk>",
												    "[CLS]",
												    "[SEP]",
												    "want",
												    "unwanted",
												    "wa",
												    "un",
												    "running",
												    ",",
												    "low",
												    "l",
												]
												__UpperCAmelCase  :	Tuple   			=      os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES["vocab_file"]   )
												with open(self.vocab_file		,     "w"		,     encoding="utf-8"   ) as vocab_writer:
																			vocab_writer.write("".join([x + "\n" for x in vocab_tokens]   )   )
					def       _lowerCamelCase       (     self: int		,     **__lowerCamelCase: Union[str, Any]   )			-> Optional[Any]:
												__UpperCAmelCase  :	List[Any]   			=      True
												return TransfoXLTokenizer.from_pretrained(self.tmpdirname		,     **__lowerCamelCase   )
					def       _lowerCamelCase       (     self: Any		,     __lowerCamelCase: Dict   )			-> Tuple:
												__UpperCAmelCase  :	List[Any]   			=      "<unk> UNwanted , running"
												__UpperCAmelCase  :	Tuple   			=      "<unk> unwanted, running"
												return input_text, output_text
					def       _lowerCamelCase       (     self: str   )			-> Tuple:
												__UpperCAmelCase  :	Optional[int]   			=      TransfoXLTokenizer(vocab_file=self.vocab_file		,     lower_case=__lowerCamelCase   )

												__UpperCAmelCase  :	Any   			=      tokenizer.tokenize("<unk> UNwanted , running"   )
												self.assertListEqual(__lowerCamelCase		,     ["<unk>", "unwanted", ",", "running"]   )

												self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase   )		,     [0, 4, 8, 7]   )
					def       _lowerCamelCase       (     self: int   )			-> str:
												__UpperCAmelCase  :	Optional[int]   			=      TransfoXLTokenizer(lower_case=__lowerCamelCase   )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "   )		,     ["hello", "!", "how", "are", "you", "?"]   )
					def       _lowerCamelCase       (     self: List[Any]   )			-> Union[str, Any]:
												__UpperCAmelCase  :	str   			=      TransfoXLTokenizer(lower_case=__lowerCamelCase   )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "   )		,     ["HeLLo", "!", "how", "Are", "yoU", "?"]   )
					def       _lowerCamelCase       (     self: List[str]   )			-> Dict:
												__UpperCAmelCase  :	Any   			=      TransfoXLTokenizer(lower_case=__lowerCamelCase   )
												__UpperCAmelCase  :	int   			=      "Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?"
												__UpperCAmelCase  :	Tuple   			=      [
												    "Hello",
												    "(",
												    "bracket",
												    ")",
												    "and",
												    "side",
												    "@-@",
												    "scrolled",
												    "[",
												    "and",
												    "]",
												    "Henry",
												    "\'s",
												    "$",
												    "5",
												    "@,@",
												    "000",
												    "with",
												    "3",
												    "@.@",
												    "34",
												    "m",
												    ".",
												    "What",
												    "\'s",
												    "up",
												    "!",
												    "?",
												]

												self.assertListEqual(tokenizer.tokenize(__lowerCamelCase   )		,     __lowerCamelCase   )

												self.assertEqual(tokenizer.convert_tokens_to_string(__lowerCamelCase   )		,     __lowerCamelCase   )





					def       _lowerCamelCase       (     self: Optional[Any]   )			-> Tuple:
												__UpperCAmelCase  :	str   			=      self.get_tokenizer()
												__UpperCAmelCase  :	Optional[Any]   			=      len(__lowerCamelCase   )

												tokenizer.add_tokens(["new1", "new2"]   )
												tokenizer.move_added_token("new1"		,     1   )

												# Check that moved token is not copied (duplicate)
												self.assertEqual(len(__lowerCamelCase   )		,     original_len + 2   )
												# Check that token is moved to specified id
												self.assertEqual(tokenizer.encode("new1"   )		,     [1]   )
												self.assertEqual(tokenizer.decode([1]   )		,     "new1"   )












from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a      	=  logging.get_logger(__name__)

_a      	=  {
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}





class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	UpperCamelCase__								=      "distilbert"
	UpperCamelCase__								=      {
	    "hidden_size": "dim",
	    "num_attention_heads": "n_heads",
	    "num_hidden_layers": "n_layers",
	}

	def __init__(							self       ,    UpperCAmelCase=3_0522       ,    UpperCAmelCase=512       ,    UpperCAmelCase=False       ,    UpperCAmelCase=6       ,    UpperCAmelCase=12       ,    UpperCAmelCase=768       ,    UpperCAmelCase=4 * 768       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase="gelu"       ,    UpperCAmelCase=0.02       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.2       ,    UpperCAmelCase=0       ,    **UpperCAmelCase       ,    ):
							"""simple docstring"""







							_UpperCAmelCase									=			vocab_size
							_UpperCAmelCase									=			max_position_embeddings
							_UpperCAmelCase									=			sinusoidal_pos_embds
							_UpperCAmelCase									=			n_layers
							_UpperCAmelCase									=			n_heads
							_UpperCAmelCase									=			dim
							_UpperCAmelCase									=			hidden_dim
							_UpperCAmelCase									=			dropout
							_UpperCAmelCase									=			attention_dropout
							_UpperCAmelCase									=			activation
							_UpperCAmelCase									=			initializer_range
							_UpperCAmelCase									=			qa_dropout
							_UpperCAmelCase									=			seq_classif_dropout
							super().__init__(**UpperCAmelCase       ,    pad_token_id=UpperCAmelCase    )





class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	@property
	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							if self.task == "multiple-choice":
													_UpperCAmelCase									=			{0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
													_UpperCAmelCase									=			{0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ('input_ids', dynamic_axis),
							        ('attention_mask', dynamic_axis),
							    ]    )
