
"""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_    							=					logging.get_logger(__name__)

A_    							=					{}
A_    							=					{}
A_    							=					{}






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__ = None	,):
			lowerCamelCase_					=  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__})"						)
			lowerCamelCase_					=  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})"						)
						lowerCamelCase_					=  format_type






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__ = None						):
			lowerCamelCase_					=  aliases if aliases is not None else []
			for alias in set(aliases + [format_type]						):
						lowerCamelCase_					=  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  lowercase						(	lowerCAmelCase__						):
			if format_type in _FORMAT_TYPES_ALIASES:
						return _FORMAT_TYPES_ALIASES[format_type]
			else:
						return format_type






def  lowercase						(	lowerCAmelCase__	,**lowerCAmelCase__						):
			lowerCamelCase_					=  get_format_type_from_alias(lowerCAmelCase__						)
			if format_type in _FORMAT_TYPES:
						return _FORMAT_TYPES[format_type](**lowerCAmelCase__						)
			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 torch import nn






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				str     ):
		if act_fn in ["swish", "silu"]:
				return nn.SiLU()
		elif act_fn == "mish":
				return nn.Mish()
		elif act_fn == "gelu":
				return nn.GELU()
		else:
				raise ValueError(f'''Unsupported activation function: {act_fn}'''     )