from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase_			    =							logging.get_logger(__name__)

UpperCAmelCase_			    =							{
    '''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  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    Tuple  			=   '''xlm'''
   lowerCAmelCase      :    str  			=   {
       '''hidden_size''': '''emb_dim''',
       '''num_attention_heads''': '''n_heads''',
       '''num_hidden_layers''': '''n_layers''',
       '''n_words''': '''vocab_size''',  # For backward compatibility
   }



   def __init__(	self					:  Any		,  _lowercase					:  Union[str, Any]=30_145		,  _lowercase					:  Any=2_048		,  _lowercase					:  int=12		,  _lowercase					:  Any=16		,  _lowercase					:  Any=0.1		,  _lowercase					:  Dict=0.1		,  _lowercase					:  Optional[Any]=True		,  _lowercase					:  Optional[Any]=False		,  _lowercase					:  List[str]=False		,  _lowercase					:  List[str]=False		,  _lowercase					:  Tuple=1		,  _lowercase					:  List[Any]=True		,  _lowercase					:  int=512		,  _lowercase					:  Tuple=2_048**-0.5		,  _lowercase					:  List[str]=1E-12		,  _lowercase					:  Optional[Any]=0.02		,  _lowercase					:  int=0		,  _lowercase					:  Union[str, Any]=1		,  _lowercase					:  Optional[int]=2		,  _lowercase					:  Optional[int]=3		,  _lowercase					:  List[Any]=5		,  _lowercase					:  str=True		,  _lowercase					:  Optional[int]="first"		,  _lowercase					:  Optional[Any]=True		,  _lowercase					:  List[str]=None		,  _lowercase					:  Tuple=True		,  _lowercase					:  Union[str, Any]=0.1		,  _lowercase					:  Union[str, Any]=5		,  _lowercase					:  List[Any]=5		,  _lowercase					:  Optional[Any]=0		,  _lowercase					:  int=0		,  _lowercase					:  str=2		,  _lowercase					:  Optional[int]=0		,  **_lowercase					:  Optional[int]		,  ):



    """simple docstring"""



    _UpperCamelCase:     Dict							= vocab_size
    _UpperCamelCase:     Dict							= emb_dim
    _UpperCamelCase:     List[str]							= n_layers
    _UpperCamelCase:     Union[str, Any]							= n_heads
    _UpperCamelCase:     Optional[int]							= dropout
    _UpperCamelCase:     Dict							= attention_dropout
    _UpperCamelCase:     str							= gelu_activation
    _UpperCamelCase:     List[Any]							= sinusoidal_embeddings
    _UpperCamelCase:     Optional[Any]							= causal
    _UpperCamelCase:     Any							= asm
    _UpperCamelCase:     List[Any]							= n_langs
    _UpperCamelCase:     List[Any]							= use_lang_emb
    _UpperCamelCase:     str							= layer_norm_eps
    _UpperCamelCase:     Optional[int]							= bos_index
    _UpperCamelCase:     Optional[int]							= eos_index
    _UpperCamelCase:     Dict							= pad_index
    _UpperCamelCase:     Tuple							= unk_index
    _UpperCamelCase:     int							= mask_index
    _UpperCamelCase:     Optional[int]							= is_encoder
    _UpperCamelCase:     List[str]							= max_position_embeddings
    _UpperCamelCase:     str							= embed_init_std
    _UpperCamelCase:     List[Any]							= init_std
    _UpperCamelCase:     str							= summary_type
    _UpperCamelCase:     Optional[Any]							= summary_use_proj
    _UpperCamelCase:     Optional[int]							= summary_activation
    _UpperCamelCase:     List[Any]							= summary_proj_to_labels
    _UpperCamelCase:     Tuple							= summary_first_dropout
    _UpperCamelCase:     Dict							= start_n_top
    _UpperCamelCase:     Any							= end_n_top
    _UpperCamelCase:     Optional[Any]							= mask_token_id
    _UpperCamelCase:     Dict							= lang_id

    if "n_words" in kwargs:
     _UpperCamelCase:     str							= kwargs['''n_words''']

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




class  __magic_name__  (		__a    ):





   """simple docstring"""




   @property
   def   lowerCAmelCase						(	self					:  Tuple							):



    """simple docstring"""



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

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


UpperCAmelCase_			    =							logging.get_logger(__name__)




class  __magic_name__  (		__a    ):





   """simple docstring"""




   def __init__(	self					:  str		,  *_lowercase					:  str		,  **_lowercase					:  int							):



    """simple docstring"""



    warnings.warn(
        '''The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
        ''' Please use PerceiverImageProcessor instead.'''		,  _lowercase		,  )
    super().__init__(*_lowercase		,  **_lowercase							)