Source code for xorbits._mars.tensor.arithmetic.arccosh

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# Licensed under the Apache License, Version 2.0 (the "License");
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#      http://www.apache.org/licenses/LICENSE-2.0
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import numpy as np

from ... import opcodes as OperandDef
from ..utils import infer_dtype
from .core import TensorUnaryOp
from .utils import arithmetic_operand


@arithmetic_operand(sparse_mode="unary")
class TensorArccosh(TensorUnaryOp):
    _op_type_ = OperandDef.ARCCOSH
    _func_name = "arccosh"


@infer_dtype(np.arccosh)
def arccosh(x, out=None, where=None, **kwargs):
    """
    Inverse hyperbolic cosine, element-wise.

    Parameters
    ----------
    x : array_like
        Input tensor.
    out : Tensor, None, or tuple of Tensor and None, optional
        A location into which the result is stored. If provided, it must have
        a shape that the inputs broadcast to. If not provided or `None`,
        a freshly-allocated tensor is returned. A tuple (possible only as a
        keyword argument) must have length equal to the number of outputs.
    where : array_like, optional
        Values of True indicate to calculate the ufunc at that position, values
        of False indicate to leave the value in the output alone.
    **kwargs

    Returns
    -------
    arccosh : Tensor
        Array of the same shape as `x`.

    See Also
    --------

    cosh, arcsinh, sinh, arctanh, tanh

    Notes
    -----
    `arccosh` is a multivalued function: for each `x` there are infinitely
    many numbers `z` such that `cosh(z) = x`. The convention is to return the
    `z` whose imaginary part lies in `[-pi, pi]` and the real part in
    ``[0, inf]``.

    For real-valued input data types, `arccosh` always returns real output.
    For each value that cannot be expressed as a real number or infinity, it
    yields ``nan`` and sets the `invalid` floating point error flag.

    For complex-valued input, `arccosh` is a complex analytical function that
    has a branch cut `[-inf, 1]` and is continuous from above on it.

    References
    ----------
    .. [1] M. Abramowitz and I.A. Stegun, "Handbook of Mathematical Functions",
           10th printing, 1964, pp. 86. http://www.math.sfu.ca/~cbm/aands/
    .. [2] Wikipedia, "Inverse hyperbolic function",
           http://en.wikipedia.org/wiki/Arccosh

    Examples
    --------
    >>> import mars.tensor as mt

    >>> mt.arccosh([mt.e, 10.0]).execute()
    array([ 1.65745445,  2.99322285])
    >>> mt.arccosh(1).execute()
    0.0
    """
    op = TensorArccosh(**kwargs)
    return op(x, out=out, where=where)