


'''simple docstring'''

# 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


lowerCAmelCase				:Tuple        =      logging.get_logger(__name__)

lowerCAmelCase				:Dict[Optional[str], Type[Formatter]]        =      {}
lowerCAmelCase				:Dict[Optional[str], str]        =      {}
lowerCAmelCase				:Dict[Optional[str], Exception]        =      {}





def lowerCamelCase      (      lowerCAmelCase    :     type		,		lowerCAmelCase    :     Optional[str]		,		lowerCAmelCase    :     Optional[List[str]] = None		,		):





	"""simple docstring"""







	__magic_name__	:   List[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__})'		)
	__magic_name__	:   Optional[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})'		)
		__magic_name__	:   Tuple					     =					format_type





def lowerCamelCase      (      lowerCAmelCase    :     Exception		,		lowerCAmelCase    :     Optional[str]		,		lowerCAmelCase    :     Optional[List[str]] = None		):





	"""simple docstring"""







	__magic_name__	:   Union[str, Any]					     =					aliases if aliases is not None else []
	for alias in set(aliases + [format_type]		):
		__magic_name__	:   Union[str, 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:
							lowerCAmelCase				:Optional[int]        =      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:
							lowerCAmelCase				:Any        =      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:
							lowerCAmelCase				:Any        =      ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
							_register_unavailable_formatter(_jax_error, '''jax''', aliases=[])





def lowerCamelCase      (      lowerCAmelCase    :     Optional[str]		):





	"""simple docstring"""







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





def lowerCamelCase      (      lowerCAmelCase    :     Optional[str]		,		**lowerCAmelCase    :     Dict		):





	"""simple docstring"""







	__magic_name__	:   Tuple					     =					get_format_type_from_alias(lowerCAmelCase		)
	if format_type in _FORMAT_TYPES:
		return _FORMAT_TYPES[format_type](**lowerCAmelCase		)
	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}\''		)



'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCAmelCase				:Tuple        =      logging.get_logger(__name__)
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def __init__( self		:						Any  ,					*_A		:						List[Any]  ,					**_A		:						str      )  ->			None:
			warnings.warn(
			    'The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
			    ' use BeitImageProcessor instead.'  ,					_A  ,					)
			super().__init__(*_A  ,					**_A      )