




'''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


a  :				List[str]									=  logging.get_logger(__name__)

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


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase = None,      )		->					List[Any]:

					'''simple docstring'''

					snake_case_									=				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__})"	)
					snake_case_									=				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})"	)
										snake_case_									=				format_type


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase = None	)		->					Any:

					'''simple docstring'''

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


def 		__magic_name__    (	__UpperCAmelCase	)		->					Optional[str]:

					'''simple docstring'''

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


def 		__magic_name__    (	__UpperCAmelCase,      **__UpperCAmelCase	)		->					Formatter:

					'''simple docstring'''

					snake_case_									=				get_format_type_from_alias(__UpperCAmelCase	)
					if format_type in _FORMAT_TYPES:
										return _FORMAT_TYPES[format_type](**__UpperCAmelCase	)
					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}'"	)



import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


_lowerCamelCase					   =logging.get_logger(__name__)





class 							A__		(	__SCREAMING_SNAKE_CASE):
      def __init__(      self    ,  *__magic_name__    ,  **__magic_name__      ):
       warnings.warn(
           """The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
           """ use OwlViTImageProcessor instead."""    ,  __magic_name__    ,  )
       super().__init__(*__magic_name__    ,  **__magic_name__      )




