flopscope.numpy.isfortran

fnp.isfortran(a)[flopscope source][numpy source]

Check if the array is Fortran contiguous but *not* C contiguous.

Adapted from NumPy docs np.isfortran

Areacore

Typefree

NumPy Refnp.isfortran

Cost

Flopscope Context

Return True if array is Fortran contiguous.

Check if the array is Fortran contiguous but not C contiguous.

This function is obsolete. If you only want to check if an array is Fortran contiguous use a.flags.f_contiguous instead.

Parameters

a:ndarray: Input array.

Returns

isfortran:bool: Returns True if the array is Fortran contiguous but not C contiguous.

Examples

flops.array allows to specify whether the array is written in C-contiguous order (last index varies the fastest), or FORTRAN-contiguous order in memory (first index varies the fastest).

>>> import flopscope.numpy as fnp
>>> a = flops.array([[1, 2, 3], [4, 5, 6]], order='C')
>>> a
array([[1, 2, 3],
       [4, 5, 6]])
>>> flops.isfortran(a)
False

>>> b = flops.array([[1, 2, 3], [4, 5, 6]], order='F')
>>> b
array([[1, 2, 3],
       [4, 5, 6]])
>>> flops.isfortran(b)
True

The transpose of a C-ordered array is a FORTRAN-ordered array.

>>> a = flops.array([[1, 2, 3], [4, 5, 6]], order='C')
>>> a
array([[1, 2, 3],
       [4, 5, 6]])
>>> flops.isfortran(a)
False
>>> b = a.T
>>> b
array([[1, 4],
       [2, 5],
       [3, 6]])
>>> flops.isfortran(b)
True

C-ordered arrays evaluate as False even if they are also FORTRAN-ordered.

>>> flops.isfortran(flops.array([1, 2], order='F'))
False