






# 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      :       str				  =   logging.get_logger(__name__)

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



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			type			,				__lowercase   :			Optional[str]			,				__lowercase   :			Optional[List[str]] = None			,				)						->      Dict:





    """simple docstring"""

    __A         =	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         =	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         =	format_type



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Exception			,				__lowercase   :			Optional[str]			,				__lowercase   :			Optional[List[str]] = None    )						->      str:





    """simple docstring"""

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



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			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						( __lowercase   :			Optional[str]			,				**__lowercase   :			Tuple    )						->      Formatter:





    """simple docstring"""

    __A         =	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 __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str			,				__lowercase   :			float | Decimal			,				__lowercase   :			float = 1_0**-1_0    )						->      float:





    """simple docstring"""

    __A         =	a
    while True:
        __A         =	Decimal(__lowercase    ) - (
            Decimal(eval(__lowercase    )    ) / Decimal(eval(str(diff(__lowercase    )    )    )    )  # noqa: S307
        )
        # This number dictates the accuracy of the answer
        if abs(eval(__lowercase    )    ) < precision:  # noqa: S307
            return float(__lowercase    )


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(f"""The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}""")
  # Find root of polynomial
  print(f"""The root of x**2 - 5*x + 2 = 0 is {newton_raphson('x**2 - 5*x + 2', 0.4)}""")
  # Find Square Root of 5
  print(f"""The root of log(x) - 1 = 0 is {newton_raphson('log(x) - 1', 2)}""")
  # Exponential Roots
  print(f"""The root of exp(x) - 1 = 0 is {newton_raphson('exp(x) - 1', 0)}""")




