# 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  :     Any       =  logging.get_logger(__name__)

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





def 				UpperCAmelCase						(    lowercase							,			lowercase							,			lowercase = None							,			):







				"""simple docstring"""



				__lowercase 			=							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 			=							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 			=							format_type





def 				UpperCAmelCase						(    lowercase							,			lowercase							,			lowercase = None							):







				"""simple docstring"""



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





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



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





def 				UpperCAmelCase						(    lowercase							,			**lowercase							):







				"""simple docstring"""



				__lowercase 			=							get_format_type_from_alias(lowercase							)
				if format_type in _FORMAT_TYPES:
								return _FORMAT_TYPES[format_type](**lowercase							)
				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}'"							)
from ..utils import DummyObject, requires_backends




class    _UpperCamelCase      (						metaclass=_UpperCAmelCase ):


			"""simple docstring"""






			__a  : Dict			 =						['''keras_nlp''']





			def __init__(   self      ,   *lowerCAmelCase__      ,   **lowerCAmelCase__						)     ->					Tuple:

							'''simple docstring'''


							requires_backends(self      ,   ['''keras_nlp''']						)