flopscope.

flopscope.numpy.rint

fnp.rint(*args, **kwargs)[flopscope source][numpy source]

Round elements of the array to the nearest integer.

Adapted from NumPy docs np.rint

Areacore
Typecounted
NumPy Refnp.rint
Aliasesfnp.around, fnp.round
Cost
numel(output)\text{numel}(\text{output})
Flopscope Context

Round to nearest integer element-wise.

Parameters

x:array_like

Input array.

out:ndarray, None, or tuple of ndarray 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 array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

where:array_like, optional

This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

**kwargs

For other keyword-only arguments, see the ufunc docs.

Returns

out:ndarray or scalar

Output array is same shape and type as x. This is a scalar if x is a scalar.

See also

Notes

For values exactly halfway between rounded decimal values, NumPy rounds to the nearest even value. Thus 1.5 and 2.5 round to 2.0, -0.5 and 0.5 round to 0.0, etc.

Examples

>>> import flopscope.numpy as fnp
>>> a = flops.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])
>>> flops.rint(a)
array([-2., -2., -0.,  0.,  2.,  2.,  2.])