


# 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_   :				str						      = logging.get_logger(__name__)

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







def  SCREAMING_SNAKE_CASE_		(    __A				:    type						,					__A				:    Optional[str]						,					__A				:    Optional[List[str]] = None						,					)			->	int:

       """simple docstring"""

       a_      :	str							=						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__})"""       )
       a_      :	Tuple							=						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})"""       )
              a_      :	int							=						format_type







def  SCREAMING_SNAKE_CASE_		(    __A				:    Exception						,					__A				:    Optional[str]						,					__A				:    Optional[List[str]] = None       )			->	Tuple:

       """simple docstring"""

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







def  SCREAMING_SNAKE_CASE_		(    __A				:    Optional[str]       )			->	Optional[str]:

       """simple docstring"""

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







def  SCREAMING_SNAKE_CASE_		(    __A				:    Optional[str]						,					**__A				:    Tuple       )			->	Formatter:

       """simple docstring"""

       a_      :	str							=						get_format_type_from_alias(__A       )
       if format_type in _FORMAT_TYPES:
              return _FORMAT_TYPES[format_type](**__A       )
       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}'"""       )






UpperCAmelCase_   :				Optional[int]						      = '\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

UpperCAmelCase_   :				List[str]						      = [{'type': 'code', 'content': INSTALL_CONTENT}]
UpperCAmelCase_   :				int						      = {
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}


