def test_reduce():
from numpy import asarray
dims = (10, 10, 10)
area = dims[0] * dims[1]
arr = asarray([repeat(x,area).reshape(dims[0], dims[1]) for x in range(dims[2])])
b = array(arr)
# Test all generic reduce functionality
generic.reduce_suite(arr, b)
def test_reduce(sc):
from numpy import asarray
dims = (10, 10, 10)
area = dims[0] * dims[1]
arr = asarray([repeat(x, area).reshape(dims[0], dims[1]) for x in range(dims[2])])
b = array(arr, sc, axis=0)
# Test all reduce functionality when the base array is split after the first axis
generic.reduce_suite(arr, b)
# Split the BoltArraySpark after the second axis and rerun the tests
b = array(arr, sc, axis=(0, 1))
generic.reduce_suite(arr, b)
# Split the BoltArraySpark after the third axis (scalar values) and rerun the tests
b = array(arr, sc, axis=(0, 1, 2))
generic.reduce_suite(arr, b)
def test_reduce(sc):
from numpy import asarray
dims = (10, 10, 10)
area = dims[0] * dims[1]
arr = asarray(
[repeat(x, area).reshape(dims[0], dims[1]) for x in range(dims[2])])
b = array(arr, sc, axis=0)
# Test all reduce functionality when the base array is split after the first axis
generic.reduce_suite(arr, b)
# Split the BoltArraySpark after the second axis and rerun the tests
b = array(arr, sc, axis=(0, 1))
generic.reduce_suite(arr, b)
# Split the BoltArraySpark after the third axis (scalar values) and rerun the tests
b = array(arr, sc, axis=(0, 1, 2))
generic.reduce_suite(arr, b)
