
"""simple docstring"""





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														=		logging.get_logger(__name__)

_a														=		{}
_a														=		{}
_a														=		{}



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case = None,					)							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase										=  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__})'''     )
					_UpperCamelCase										=  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})'''     )
										_UpperCamelCase										=  format_type



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case = None     )							->		int:


					"""simple docstring"""





					_UpperCamelCase										=  aliases if aliases is not None else []
					for alias in set(aliases + [format_type]     ):
										_UpperCamelCase										=  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														=		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														=		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														=		ValueError("""JAX needs to be installed to be able to return JAX arrays.""")
				_register_unavailable_formatter(_jax_error, """jax""", aliases=[])



def 				lowerCamelCase__		(      __snake_case     )							->		Optional[str]:


					"""simple docstring"""





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



def 				lowerCamelCase__		(      __snake_case,					**__snake_case     )							->		Formatter:


					"""simple docstring"""





					_UpperCamelCase										=  get_format_type_from_alias(__snake_case     )
					if format_type in _FORMAT_TYPES:
										return _FORMAT_TYPES[format_type](**__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}\''''     )




"""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."""
)






