

from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {
    '''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json''',
}


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):
    __lowerCamelCase						:       Any														=     """lxmert"""
    __lowerCamelCase						:       str														=     {}





    def __init__(      self						,   a=3_0522						,   a=768						,   a=12						,   a=9500						,   a=1600						,   a=400						,   a=3072						,   a="gelu"						,   a=0.1						,   a=0.1						,   a=512						,   a=2						,   a=0.02						,   a=1e-12						,   a=9						,   a=5						,   a=5						,   a=2048						,   a=4						,   a=6.67						,   a=True						,   a=True						,   a=True						,   a=True						,   a=True						,   a=True						,   a=True						,   **a						,   ):
         lowercase__    :   str      =       vocab_size
         lowercase__    :   Any      =       hidden_size
         lowercase__    :   Optional[int]      =       num_attention_heads
         lowercase__    :   str      =       hidden_act
         lowercase__    :   Optional[int]      =       intermediate_size
         lowercase__    :   str      =       hidden_dropout_prob
         lowercase__    :   int      =       attention_probs_dropout_prob
         lowercase__    :   List[Any]      =       max_position_embeddings
         lowercase__    :   int      =       type_vocab_size
         lowercase__    :   Union[str, Any]      =       initializer_range
         lowercase__    :   Union[str, Any]      =       layer_norm_eps
         lowercase__    :   Union[str, Any]      =       num_qa_labels
         lowercase__    :   Optional[int]      =       num_object_labels
         lowercase__    :   Optional[Any]      =       num_attr_labels
         lowercase__    :   Optional[int]      =       l_layers
         lowercase__    :   List[Any]      =       x_layers
         lowercase__    :   Any      =       r_layers
         lowercase__    :   List[Any]      =       visual_feat_dim
         lowercase__    :   Optional[Any]      =       visual_pos_dim
         lowercase__    :   List[Any]      =       visual_loss_normalizer
         lowercase__    :   Any      =       task_matched
         lowercase__    :   List[str]      =       task_mask_lm
         lowercase__    :   Optional[int]      =       task_obj_predict
         lowercase__    :   str      =       task_qa
         lowercase__    :   int      =       visual_obj_loss
         lowercase__    :   Optional[Any]      =       visual_attr_loss
         lowercase__    :   List[str]      =       visual_feat_loss
         lowercase__    :   Dict      =       {'vision': r_layers, 'cross_encoder': x_layers, 'language': l_layers}
         super().__init__(**a)




# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {}
snake_case_			  = {}
snake_case_			  = {}

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    type	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None	,     ):



     '''simple docstring'''





     lowercase__    :   Union[str, Any]      =       aliases if aliases is not None else []
     if format_type in _FORMAT_TYPES:
          logger.warning(
              f"""Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"""			)
     lowercase__    :   Any      =       formatter_cls
     for alias in set(aliases + [format_type]			):
          if alias in _FORMAT_TYPES_ALIASES:
               logger.warning(
                   f"""Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"""			)
          lowercase__    :   int      =       format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Exception	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None			):



     '''simple docstring'''





     lowercase__    :   Optional[Any]      =       aliases if aliases is not None else []
     for alias in set(aliases + [format_type]			):
          lowercase__    :   Any      =       unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['''python'''])
_register_formatter(ArrowFormatter, '''arrow''', aliases=['''pa''', '''pyarrow'''])
_register_formatter(NumpyFormatter, '''numpy''', aliases=['''np'''])
_register_formatter(PandasFormatter, '''pandas''', aliases=['''pd'''])
_register_formatter(CustomFormatter, '''custom''')

if config.TORCH_AVAILABLE:
       from .torch_formatter import TorchFormatter

       _register_formatter(TorchFormatter, '''torch''', aliases=['''pt''', '''pytorch'''])
else:
       snake_case_			  = ValueError('''PyTorch needs to be installed to be able to return PyTorch tensors.''')
       _register_unavailable_formatter(_torch_error, '''torch''', aliases=['''pt''', '''pytorch'''])

if config.TF_AVAILABLE:
       from .tf_formatter import TFFormatter

       _register_formatter(TFFormatter, '''tensorflow''', aliases=['''tf'''])
else:
       snake_case_			  = ValueError('''Tensorflow needs to be installed to be able to return Tensorflow tensors.''')
       _register_unavailable_formatter(_tf_error, '''tensorflow''', aliases=['''tf'''])

if config.JAX_AVAILABLE:
       from .jax_formatter import JaxFormatter

       _register_formatter(JaxFormatter, '''jax''', aliases=[])
else:
       snake_case_			  = ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
       _register_unavailable_formatter(_jax_error, '''jax''', aliases=[])

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]			):



     '''simple docstring'''





     if format_type in _FORMAT_TYPES_ALIASES:
          return _FORMAT_TYPES_ALIASES[format_type]
     else:
          return format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]	,     **SCREAMING_SNAKE_CASE_		:    Any			):



     '''simple docstring'''





     lowercase__    :   Tuple      =       get_format_type_from_alias(SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES:
          return _FORMAT_TYPES[format_type](**SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
          raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
     else:
          raise ValueError(
              f"""Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None			)}, but got '{format_type}'"""			)

