Python set_unique Beispiele

Beispiel #1

def unique(ar: ndarray,
           return_index: bool = False,
           return_inverse: bool = False,
           return_counts: bool = False) -> ndarray:
    if return_index:
        raise ValueError("return_index=True is not supported")
    if return_inverse:
        raise ValueError("return_inverse=True is not supported")
    if return_counts:
        raise ValueError("return_counts=True is not supported")

    unsorted_unique_set_af_array = af.set_unique(ar._af_array, is_sorted=False)

    sorted_unique_set_af_array = af.sort(unsorted_unique_set_af_array,
                                         dim=0,
                                         is_ascending=True)

    return ndarray(sorted_unique_set_af_array)

Beispiel #2

def simple_algorithm(verbose = False):
    display_func = _util.display_func(verbose)
    print_func   = _util.print_func(verbose)

    a = af.randu(3, 3)

    print_func(af.sum(a), af.product(a), af.min(a), af.max(a),
               af.count(a), af.any_true(a), af.all_true(a))

    display_func(af.sum(a, 0))
    display_func(af.sum(a, 1))

    display_func(af.product(a, 0))
    display_func(af.product(a, 1))

    display_func(af.min(a, 0))
    display_func(af.min(a, 1))

    display_func(af.max(a, 0))
    display_func(af.max(a, 1))

    display_func(af.count(a, 0))
    display_func(af.count(a, 1))

    display_func(af.any_true(a, 0))
    display_func(af.any_true(a, 1))

    display_func(af.all_true(a, 0))
    display_func(af.all_true(a, 1))

    display_func(af.accum(a, 0))
    display_func(af.accum(a, 1))

    display_func(af.sort(a, is_ascending=True))
    display_func(af.sort(a, is_ascending=False))

    b = (a > 0.1) * a
    c = (a > 0.4) * a
    d = b / c
    print_func(af.sum(d));
    print_func(af.sum(d, nan_val=0.0));
    display_func(af.sum(d, dim=0, nan_val=0.0));

    val,idx = af.sort_index(a, is_ascending=True)
    display_func(val)
    display_func(idx)
    val,idx = af.sort_index(a, is_ascending=False)
    display_func(val)
    display_func(idx)

    b = af.randu(3,3)
    keys,vals = af.sort_by_key(a, b, is_ascending=True)
    display_func(keys)
    display_func(vals)
    keys,vals = af.sort_by_key(a, b, is_ascending=False)
    display_func(keys)
    display_func(vals)

    c = af.randu(5,1)
    d = af.randu(5,1)
    cc = af.set_unique(c, is_sorted=False)
    dd = af.set_unique(af.sort(d), is_sorted=True)
    display_func(cc)
    display_func(dd)

    display_func(af.set_union(cc, dd, is_unique=True))
    display_func(af.set_union(cc, dd, is_unique=False))

    display_func(af.set_intersect(cc, cc, is_unique=True))
    display_func(af.set_intersect(cc, cc, is_unique=False))

Beispiel #3

Datei: simple_algorithm.py Projekt: maxssage/arrayfire-python

af.display(af.sort(a, is_ascending=True))
af.display(af.sort(a, is_ascending=False))

val, idx = af.sort_index(a, is_ascending=True)
af.display(val)
af.display(idx)
val, idx = af.sort_index(a, is_ascending=False)
af.display(val)
af.display(idx)

b = af.randu(3, 3)
keys, vals = af.sort_by_key(a, b, is_ascending=True)
af.display(keys)
af.display(vals)
keys, vals = af.sort_by_key(a, b, is_ascending=False)
af.display(keys)
af.display(vals)

c = af.randu(5, 1)
d = af.randu(5, 1)
cc = af.set_unique(c, is_sorted=False)
dd = af.set_unique(af.sort(d), is_sorted=True)
af.display(cc)
af.display(dd)

af.display(af.set_union(cc, dd, is_unique=True))
af.display(af.set_union(cc, dd, is_unique=False))

af.display(af.set_intersect(cc, cc, is_unique=True))
af.display(af.set_intersect(cc, cc, is_unique=False))

Beispiel #4

Datei: simple_algorithm.py Projekt: nagyistoce/arrayfire_python

af.print_array(af.sort(a, is_ascending=True))
af.print_array(af.sort(a, is_ascending=False))

val,idx = af.sort_index(a, is_ascending=True)
af.print_array(val)
af.print_array(idx)
val,idx = af.sort_index(a, is_ascending=False)
af.print_array(val)
af.print_array(idx)

b = af.randu(3,3)
keys,vals = af.sort_by_key(a, b, is_ascending=True)
af.print_array(keys)
af.print_array(vals)
keys,vals = af.sort_by_key(a, b, is_ascending=False)
af.print_array(keys)
af.print_array(vals)

c = af.randu(5,1)
d = af.randu(5,1)
cc = af.set_unique(c, is_sorted=False)
dd = af.set_unique(af.sort(d), is_sorted=True)
af.print_array(cc)
af.print_array(dd)

af.print_array(af.set_union(cc, dd, is_unique=True))
af.print_array(af.set_union(cc, dd, is_unique=False))

af.print_array(af.set_intersect(cc, cc, is_unique=True))
af.print_array(af.set_intersect(cc, cc, is_unique=False))

Beispiel #5

Datei: algorithm.py Projekt: roaffix/arrayfire-python

def simple_algorithm(verbose=False):
    display_func = _util.display_func(verbose)
    print_func = _util.print_func(verbose)

    a = af.randu(3, 3)
    k = af.constant(1, 3, 3, dtype=af.Dtype.u32)
    af.eval(k)

    print_func(af.sum(a), af.product(a), af.min(a), af.max(a), af.count(a),
               af.any_true(a), af.all_true(a))

    display_func(af.sum(a, 0))
    display_func(af.sum(a, 1))

    rk = af.constant(1, 3, dtype=af.Dtype.u32)
    rk[2] = 0
    af.eval(rk)
    display_func(af.sumByKey(rk, a, dim=0))
    display_func(af.sumByKey(rk, a, dim=1))

    display_func(af.productByKey(rk, a, dim=0))
    display_func(af.productByKey(rk, a, dim=1))

    display_func(af.minByKey(rk, a, dim=0))
    display_func(af.minByKey(rk, a, dim=1))

    display_func(af.maxByKey(rk, a, dim=0))
    display_func(af.maxByKey(rk, a, dim=1))

    display_func(af.anyTrueByKey(rk, a, dim=0))
    display_func(af.anyTrueByKey(rk, a, dim=1))

    display_func(af.allTrueByKey(rk, a, dim=0))
    display_func(af.allTrueByKey(rk, a, dim=1))

    display_func(af.countByKey(rk, a, dim=0))
    display_func(af.countByKey(rk, a, dim=1))

    display_func(af.product(a, 0))
    display_func(af.product(a, 1))

    display_func(af.min(a, 0))
    display_func(af.min(a, 1))

    display_func(af.max(a, 0))
    display_func(af.max(a, 1))

    display_func(af.count(a, 0))
    display_func(af.count(a, 1))

    display_func(af.any_true(a, 0))
    display_func(af.any_true(a, 1))

    display_func(af.all_true(a, 0))
    display_func(af.all_true(a, 1))

    display_func(af.accum(a, 0))
    display_func(af.accum(a, 1))

    display_func(af.scan(a, 0, af.BINARYOP.ADD))
    display_func(af.scan(a, 1, af.BINARYOP.MAX))

    display_func(af.scan_by_key(k, a, 0, af.BINARYOP.ADD))
    display_func(af.scan_by_key(k, a, 1, af.BINARYOP.MAX))

    display_func(af.sort(a, is_ascending=True))
    display_func(af.sort(a, is_ascending=False))

    b = (a > 0.1) * a
    c = (a > 0.4) * a
    d = b / c
    print_func(af.sum(d))
    print_func(af.sum(d, nan_val=0.0))
    display_func(af.sum(d, dim=0, nan_val=0.0))

    val, idx = af.sort_index(a, is_ascending=True)
    display_func(val)
    display_func(idx)
    val, idx = af.sort_index(a, is_ascending=False)
    display_func(val)
    display_func(idx)

    b = af.randu(3, 3)
    keys, vals = af.sort_by_key(a, b, is_ascending=True)
    display_func(keys)
    display_func(vals)
    keys, vals = af.sort_by_key(a, b, is_ascending=False)
    display_func(keys)
    display_func(vals)

    c = af.randu(5, 1)
    d = af.randu(5, 1)
    cc = af.set_unique(c, is_sorted=False)
    dd = af.set_unique(af.sort(d), is_sorted=True)
    display_func(cc)
    display_func(dd)

    display_func(af.set_union(cc, dd, is_unique=True))
    display_func(af.set_union(cc, dd, is_unique=False))

    display_func(af.set_intersect(cc, cc, is_unique=True))
    display_func(af.set_intersect(cc, cc, is_unique=False))