



'''simple docstring'''





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          =		{
    "xlm-mlm-en-2048": "https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json",
    "xlm-mlm-ende-1024": "https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json",
    "xlm-mlm-enfr-1024": "https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json",
    "xlm-mlm-enro-1024": "https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json",
    "xlm-mlm-tlm-xnli15-1024": "https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json",
    "xlm-mlm-xnli15-1024": "https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json",
    "xlm-clm-enfr-1024": "https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json",
    "xlm-clm-ende-1024": "https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json",
    "xlm-mlm-17-1280": "https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json",
    "xlm-mlm-100-1280": "https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json",
}







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    lowercase					=		"xlm"
    lowercase					=		{
        "hidden_size": "emb_dim",
        "num_attention_heads": "n_heads",
        "num_hidden_layers": "n_layers",
        "n_words": "vocab_size",  # For backward compatibility
    }




    def __init__(    self					:     Tuple ,     snake_case_					:     Optional[int]=30_145 ,     snake_case_					:     Optional[Any]=2_048 ,     snake_case_					:     Optional[Any]=12 ,     snake_case_					:     Dict=16 ,     snake_case_					:     Optional[Any]=0.1 ,     snake_case_					:     str=0.1 ,     snake_case_					:     Tuple=True ,     snake_case_					:     Union[str, Any]=False ,     snake_case_					:     Dict=False ,     snake_case_					:     Optional[int]=False ,     snake_case_					:     Dict=1 ,     snake_case_					:     List[Any]=True ,     snake_case_					:     Tuple=512 ,     snake_case_					:     List[str]=2_048**-0.5 ,     snake_case_					:     List[Any]=1E-1_2 ,     snake_case_					:     int=0.02 ,     snake_case_					:     List[str]=0 ,     snake_case_					:     Optional[int]=1 ,     snake_case_					:     List[Any]=2 ,     snake_case_					:     str=3 ,     snake_case_					:     Union[str, Any]=5 ,     snake_case_					:     List[str]=True ,     snake_case_					:     List[str]="first" ,     snake_case_					:     List[Any]=True ,     snake_case_					:     List[Any]=None ,     snake_case_					:     List[str]=True ,     snake_case_					:     Dict=0.1 ,     snake_case_					:     Any=5 ,     snake_case_					:     Optional[Any]=5 ,     snake_case_					:     List[Any]=0 ,     snake_case_					:     List[str]=0 ,     snake_case_					:     str=2 ,     snake_case_					:     Tuple=0 ,     **snake_case_					:     List[Any] ,     ):
          snake_case__  :    Optional[Any]    						=      vocab_size
          snake_case__  :    List[Any]    						=      emb_dim
          snake_case__  :    int    						=      n_layers
          snake_case__  :    Dict    						=      n_heads
          snake_case__  :    Union[str, Any]    						=      dropout
          snake_case__  :    List[str]    						=      attention_dropout
          snake_case__  :    Optional[int]    						=      gelu_activation
          snake_case__  :    Union[str, Any]    						=      sinusoidal_embeddings
          snake_case__  :    Union[str, Any]    						=      causal
          snake_case__  :    Tuple    						=      asm
          snake_case__  :    int    						=      n_langs
          snake_case__  :    int    						=      use_lang_emb
          snake_case__  :    List[Any]    						=      layer_norm_eps
          snake_case__  :    Union[str, Any]    						=      bos_index
          snake_case__  :    int    						=      eos_index
          snake_case__  :    str    						=      pad_index
          snake_case__  :    str    						=      unk_index
          snake_case__  :    Tuple    						=      mask_index
          snake_case__  :    Optional[int]    						=      is_encoder
          snake_case__  :    int    						=      max_position_embeddings
          snake_case__  :    List[Any]    						=      embed_init_std
          snake_case__  :    List[str]    						=      init_std
          snake_case__  :    Any    						=      summary_type
          snake_case__  :    Tuple    						=      summary_use_proj
          snake_case__  :    int    						=      summary_activation
          snake_case__  :    Optional[int]    						=      summary_proj_to_labels
          snake_case__  :    Optional[int]    						=      summary_first_dropout
          snake_case__  :    str    						=      start_n_top
          snake_case__  :    Union[str, Any]    						=      end_n_top
          snake_case__  :    List[Any]    						=      mask_token_id
          snake_case__  :    Optional[Any]    						=      lang_id

          if "n_words" in kwargs:
                snake_case__  :    Any    						=      kwargs["""n_words"""]

          super().__init__(pad_token_id=snake_case_ ,     bos_token_id=snake_case_ ,     **snake_case_						)







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    @property
    def lowerCamelCase       (    self					:     Dict						):
          if self.task == "multiple-choice":
                snake_case__  :    int    						=      {0: """batch""", 1: """choice""", 2: """sequence"""}
          else:
                snake_case__  :    Optional[int]    						=      {0: """batch""", 1: """sequence"""}
          return OrderedDict(
              [
                  ("""input_ids""", dynamic_axis),
                  ("""attention_mask""", dynamic_axis),
                  ("""token_type_ids""", dynamic_axis),
              ]						)





'''simple docstring'''





import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout





def 						__snake_case(				_lowerCAmelCase		)		-> Optional[int]:
      snake_case__  :    int    						=      FileLock(str(tmpdir / """foo.lock"""		)		)
      snake_case__  :    Dict    						=      FileLock(str(tmpdir / """foo.lock"""		)		)
      snake_case__  :    List[str]    						=      0.01
      with locka.acquire():
            with pytest.raises(_lowerCAmelCase		):
                  snake_case__  :    str    						=      time.time()
                  locka.acquire(_lowerCAmelCase		)
                  assert time.time() - _start > timeout





def 						__snake_case(				_lowerCAmelCase		)		-> Tuple:
      snake_case__  :    Dict    						=      """a""" * 1_000 + """.lock"""
      snake_case__  :    int    						=      FileLock(str(tmpdir / filename		)		)
      assert locka._lock_file.endswith(""".lock"""		)
      assert not locka._lock_file.endswith(_lowerCAmelCase		)
      assert len(os.path.basename(locka._lock_file		)		) <= 255
      snake_case__  :    Dict    						=      FileLock(tmpdir / filename		)
      with locka.acquire():
            with pytest.raises(_lowerCAmelCase		):
                  locka.acquire(0		)
