'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


lowercase__  :      Union[str, Any]        =					logging.get_logger(__name__)

lowercase__  :      Union[str, Any]        =					{
    "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json",
    "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json",
    "junnyu/roformer_chinese_char_small": (
        "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"
    ),
    "junnyu/roformer_chinese_char_base": (
        "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"
    ),
    "junnyu/roformer_small_discriminator": (
        "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"
    ),
    "junnyu/roformer_small_generator": (
        "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}







class lowerCamelCase							(	lowerCamelCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	'''roformer'''






  def __init__(      self			:       List[str]  ,							UpperCAmelCase__			:       Dict=5_0000  ,							UpperCAmelCase__			:       Optional[Any]=None  ,							UpperCAmelCase__			:       List[Any]=768  ,							UpperCAmelCase__			:       Optional[int]=12  ,							UpperCAmelCase__			:       Dict=12  ,							UpperCAmelCase__			:       Optional[int]=3072  ,							UpperCAmelCase__			:       Any="gelu"  ,							UpperCAmelCase__			:       Tuple=0.1  ,							UpperCAmelCase__			:       int=0.1  ,							UpperCAmelCase__			:       Union[str, Any]=1536  ,							UpperCAmelCase__			:       Optional[int]=2  ,							UpperCAmelCase__			:       Any=0.02  ,							UpperCAmelCase__			:       Optional[Any]=1e-12  ,							UpperCAmelCase__			:       Union[str, Any]=0  ,							UpperCAmelCase__			:       Any=False  ,							UpperCAmelCase__			:       Optional[Any]=True  ,							**UpperCAmelCase__			:       Any  ,							)				->Tuple:
        super().__init__(pad_token_id=UpperCAmelCase__  ,							**UpperCAmelCase__  )

        UpperCAmelCase_            =  vocab_size
        UpperCAmelCase_            =  hidden_size if embedding_size is None else embedding_size
        UpperCAmelCase_            =  hidden_size
        UpperCAmelCase_            =  num_hidden_layers
        UpperCAmelCase_            =  num_attention_heads
        UpperCAmelCase_            =  hidden_act
        UpperCAmelCase_            =  intermediate_size
        UpperCAmelCase_            =  hidden_dropout_prob
        UpperCAmelCase_            =  attention_probs_dropout_prob
        UpperCAmelCase_            =  max_position_embeddings
        UpperCAmelCase_            =  type_vocab_size
        UpperCAmelCase_            =  initializer_range
        UpperCAmelCase_            =  layer_norm_eps
        UpperCAmelCase_            =  rotary_value
        UpperCAmelCase_            =  use_cache







class lowerCamelCase							(	lowerCamelCase					):




  '''simple docstring'''



  @property
  def  lowerCAmelCase__ (      self			:       str  )				->Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
              UpperCAmelCase_            =  {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
        else:
              UpperCAmelCase_            =  {0: '''batch''', 1: '''sequence'''}
        UpperCAmelCase_            =  {0: '''batch''', 1: '''sequence'''}
        return OrderedDict(
            [
                ('''input_ids''', dynamic_axis),
                ('''attention_mask''', dynamic_axis),
                ('''token_type_ids''', dynamic_axis),
            ]  )






'''simple docstring'''
import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	XLMTokenizer
  lowerCAmelCase__										=	False






  def  lowerCAmelCase__ (      self			:       int  )				->Union[str, Any]:
        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        UpperCAmelCase_            =  [
            '''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>''',
            '''<unk>''',
        ]
        UpperCAmelCase_            =  dict(zip(UpperCAmelCase__  ,							range(len(UpperCAmelCase__  )  )  )  )
        UpperCAmelCase_            =  ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

        UpperCAmelCase_            =  os.path.join(self.tmpdirname  ,							VOCAB_FILES_NAMES['''vocab_file''']  )
        UpperCAmelCase_            =  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			:       Optional[int]  ,							UpperCAmelCase__			:       Any  )				->List[Any]:
        UpperCAmelCase_            =  '''lower newer'''
        UpperCAmelCase_            =  '''lower newer'''
        return input_text, output_text






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->Tuple:
        UpperCAmelCase_            =  XLMTokenizer(self.vocab_file  ,							self.merges_file  )

        UpperCAmelCase_            =  '''lower'''
        UpperCAmelCase_            =  ['''low''', '''er</w>''']
        UpperCAmelCase_            =  tokenizer.tokenize(UpperCAmelCase__  )
        self.assertListEqual(UpperCAmelCase__  ,							UpperCAmelCase__  )

        UpperCAmelCase_            =  tokens + ['''<unk>''']
        UpperCAmelCase_            =  [14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__  )  ,							UpperCAmelCase__  )






  @slow
  def  lowerCAmelCase__ (      self			:       Any  )				->str:
        UpperCAmelCase_            =  XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''  )

        UpperCAmelCase_            =  tokenizer.encode('''sequence builders'''  ,							add_special_tokens=UpperCAmelCase__  )
        UpperCAmelCase_            =  tokenizer.encode('''multi-sequence build'''  ,							add_special_tokens=UpperCAmelCase__  )

        UpperCAmelCase_            =  tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__  )
        UpperCAmelCase_            =  tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__  ,							UpperCAmelCase__  )

        assert encoded_sentence == [0] + text + [1]
        assert encoded_pair == [0] + text + [1] + text_a + [1]





