






'''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


UpperCamelCase__			=      logging.get_logger(__name__)

UpperCamelCase__			=      {}
UpperCamelCase__			=      {}
UpperCamelCase__			=      {}




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		_UpperCamelCase    ,		_UpperCamelCase = None    ,		):


   """simple docstring"""




   lowercase_						:     Tuple							     =  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_						:     Dict							     =  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_						:     List[Any]							     =  format_type




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		_UpperCamelCase    ,		_UpperCamelCase = None				):


   """simple docstring"""




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




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase				):


   """simple docstring"""




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





def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		**_UpperCamelCase				):


   """simple docstring"""




   lowercase_						:     List[Any]							     =  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}'"""				)












'''simple docstring'''
import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)




