Source code for xorbits._mars.tensor.arithmetic.log10
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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 TensorLog10(TensorUnaryOp):
_op_type_ = OperandDef.LOG10
_func_name = "log10"
[docs]@infer_dtype(np.log10)
def log10(x, out=None, where=None, **kwargs):
"""
Return the base 10 logarithm of the input tensor, element-wise.
Parameters
----------
x : array_like
Input values.
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
-------
y : Tensor
The logarithm to the base 10 of `x`, element-wise. NaNs are
returned where x is negative.
Notes
-----
Logarithm is a multivalued function: for each `x` there is an infinite
number of `z` such that `10**z = x`. The convention is to return the
`z` whose imaginary part lies in `[-pi, pi]`.
For real-valued input data types, `log10` 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, `log10` is a complex analytical function that
has a branch cut `[-inf, 0]` and is continuous from above on it.
`log10` handles the floating-point negative zero as an infinitesimal
negative number, conforming to the C99 standard.
References
----------
.. [1] M. Abramowitz and I.A. Stegun, "Handbook of Mathematical Functions",
10th printing, 1964, pp. 67. http://www.math.sfu.ca/~cbm/aands/
.. [2] Wikipedia, "Logarithm". http://en.wikipedia.org/wiki/Logarithm
Examples
--------
>>> import mars.tensor as mt
>>> mt.log10([1e-15, -3.]).execute()
array([-15., NaN])
"""
op = TensorLog10(**kwargs)
return op(x, out=out, where=where)