def test_overlap_internal():
x = np.arange(64).reshape((8, 8))
d = da.from_array(x, chunks=(4, 4))
g = overlap_internal(d, {0: 2, 1: 1})
result = g.compute(scheduler="sync")
assert g.chunks == ((6, 6), (5, 5))
expected = np.array([
[0, 1, 2, 3, 4, 3, 4, 5, 6, 7],
[8, 9, 10, 11, 12, 11, 12, 13, 14, 15],
[16, 17, 18, 19, 20, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 27, 28, 29, 30, 31],
[32, 33, 34, 35, 36, 35, 36, 37, 38, 39],
[40, 41, 42, 43, 44, 43, 44, 45, 46, 47],
[16, 17, 18, 19, 20, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 27, 28, 29, 30, 31],
[32, 33, 34, 35, 36, 35, 36, 37, 38, 39],
[40, 41, 42, 43, 44, 43, 44, 45, 46, 47],
[48, 49, 50, 51, 52, 51, 52, 53, 54, 55],
[56, 57, 58, 59, 60, 59, 60, 61, 62, 63],
])
assert_eq(result, expected)
assert same_keys(overlap_internal(d, {0: 2, 1: 1}), g)
def test_overlap_internal():
x = np.arange(64).reshape((8, 8))
d = da.from_array(x, chunks=(4, 4))
g = overlap_internal(d, {0: 2, 1: 1})
result = g.compute(scheduler='sync')
assert g.chunks == ((6, 6), (5, 5))
expected = np.array([
[ 0, 1, 2, 3, 4, 3, 4, 5, 6, 7],
[ 8, 9, 10, 11, 12, 11, 12, 13, 14, 15],
[16, 17, 18, 19, 20, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 27, 28, 29, 30, 31],
[32, 33, 34, 35, 36, 35, 36, 37, 38, 39],
[40, 41, 42, 43, 44, 43, 44, 45, 46, 47],
[16, 17, 18, 19, 20, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 27, 28, 29, 30, 31],
[32, 33, 34, 35, 36, 35, 36, 37, 38, 39],
[40, 41, 42, 43, 44, 43, 44, 45, 46, 47],
[48, 49, 50, 51, 52, 51, 52, 53, 54, 55],
[56, 57, 58, 59, 60, 59, 60, 61, 62, 63]])
assert_eq(result, expected)
assert same_keys(overlap_internal(d, {0: 2, 1: 1}), g)
def test_overlap_internal_asymmetric_small():
x = np.arange(32).reshape((2, 16))
d = da.from_array(x, chunks=(2, 4))
result = overlap_internal(d, {0: (0, 0), 1: (1, 1)})
assert result.chunks == ((2, ), (5, 6, 6, 5))
expected = np.array([[
0, 1, 2, 3, 4, 3, 4, 5, 6, 7, 8, 7, 8, 9, 10, 11, 12, 11, 12, 13, 14,
15
],
[
16, 17, 18, 19, 20, 19, 20, 21, 22, 23, 24, 23,
24, 25, 26, 27, 28, 27, 28, 29, 30, 31
]])
assert_eq(result, expected)
assert same_keys(overlap_internal(d, {0: (0, 0), 1: (1, 1)}), result)
def test_overlap_internal_asymmetric():
x = np.arange(64).reshape((8, 8))
d = da.from_array(x, chunks=(4, 4))
result = overlap_internal(d, {0: (2, 0), 1: (1, 0)})
assert result.chunks == ((6, 4), (5, 4))
expected = np.array([[0, 1, 2, 3, 3, 4, 5, 6, 7],
[8, 9, 10, 11, 11, 12, 13, 14, 15],
[16, 17, 18, 19, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 27, 28, 29, 30, 31],
[16, 17, 18, 19, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 27, 28, 29, 30, 31],
[32, 33, 34, 35, 35, 36, 37, 38, 39],
[40, 41, 42, 43, 43, 44, 45, 46, 47],
[48, 49, 50, 51, 51, 52, 53, 54, 55],
[56, 57, 58, 59, 59, 60, 61, 62, 63]])
assert_eq(result, expected)
assert same_keys(overlap_internal(d, {0: (2, 0), 1: (1, 0)}), result)
