has_column_major_storage ( a ) (0, 1) > b = arr. ]) copied an array using PyArray_CopyFromObject: size=6, elsize=8 > print a ] > a. _doc_ foo - Function signature: a = foo(a,) Required arguments: a : input rank-2 array('d') with bounds (n,m) Optional arguments: overwrite_a := 0 input int Return objects: a : rank-2 array('d') with bounds (n,m) > a = arr. > import arr > from numpy import array > print arr. To transform input arrays to column major storage order before passingĪs_column_major_storage() that is provided by all F2PY The physical memory in your computer, then a care must be taken to useĪlways proper-contiguous and proper type arguments. Large multidimensional input arrays with sizes close to the size of Order the corresponding algorithm is designed to make copies ofĪrrays only when absolutely necessary. F2PY automaticallyĮnsures that wrapped functions get arguments with proper storage Memory and whether the wrapped functions, being either Fortran or Cįunctions, assume one or another storage order. Usually there is no need to worry about how the arrays are stored in To test for Fortran contiguity, allį2PY generated extension modules provide a function To test whether an array is C-contiguous, use. indexing of data as stored in memory starts from theįor one-dimensional arrays these notions coincide.įor example, an 2x2 array A is Fortran-contiguous if its elementsĪre stored in memory in the following order: C-contiguous or simply contiguous arrays when data is stored.indexing of data as stored in memory starts from the lowest Fortran-contiguous arrays when data is stored column-wise,.
There are two types of proper-contiguous Numpy arrays: Otherwise, an element-wise copy of an input array is made and theĬopy, being proper-contiguous and with proper type, is used as an Type then it is directly passed to wrapped Fortran/C function. In general, if a Numpy array is proper-contiguous and has a proper Than expected (see intent(inplace) attribute for more
Another exception is intent(inplace) array arguments thatĪttributes will be changed in-situ if the argument has different type Proper-contiguous and have proper type, otherwise an exception is In general, array arguments of F2PY generated wrapper functions acceptĪrbitrary sequences that can be transformed to Numpy array objects.Īn exception is intent(inout) array arguments that always must be
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