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Fix a bug in guess mode of a lazy expression of reductions
1 parent 82020a2 commit a72b61f

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4 files changed

+86
-34
lines changed

4 files changed

+86
-34
lines changed

bench/ndarray/lazyarray-constructors.py

Lines changed: 12 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -26,7 +26,13 @@
2626
for i in range(5):
2727
_ = la[i]
2828
print(f"Access time: {time() - t0:.3f} s")
29+
30+
t0 = time()
31+
la = (o1 + 1).sum()
32+
print(f"Build time (sum): {time() - t0:.3f} s")
2933
t0 = time()
34+
print("sum:", la)
35+
print(f"Reduction time (sum): {time() - t0:.3f} s")
3036

3137
# Use a constructor inside a lazy expression (string form)
3238
print("*** Using a constructor inside a lazy expression (string form) ***")
@@ -38,4 +44,10 @@
3844
for i in range(5):
3945
_ = la[i]
4046
print(f"Access time: {time() - t0:.3f} s")
47+
48+
t0 = time()
49+
la = blosc2.lazyexpr(f"sum({o1} + 1)")
50+
print(f"Build time (sum): {time() - t0:.3f} s")
4151
t0 = time()
52+
print("sum:", la[()])
53+
print(f"Reduction time (sum): {time() - t0:.3f} s")

src/blosc2/lazyexpr.py

Lines changed: 9 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -789,11 +789,11 @@ def fill_chunk_operands( # noqa: C901
789789
chunks = next(iter_chunks)
790790

791791
for i, (key, value) in enumerate(operands.items()):
792-
# The chunks are already decompressed, so we can use them directly
792+
# Chunks are already decompressed, so we can use them directly
793793
if not low_mem:
794794
chunk_operands[key] = chunks[i]
795795
continue
796-
# Otherwise, we need to decompress the chunks
796+
# Otherwise, we need to decompress them
797797
special = blosc2.SpecialValue((chunks[i][31] & 0x70) >> 4)
798798
if special == blosc2.SpecialValue.ZERO:
799799
# The chunk is a special zero chunk, so we can treat it as a scalar
@@ -1314,6 +1314,11 @@ def reduce_slices( # noqa: C901
13141314
else:
13151315
reduced_shape = tuple(s for i, s in enumerate(shape) if i not in axis)
13161316

1317+
if is_inside_new_expr():
1318+
# We already have the dtype and reduced_shape, so return immediately
1319+
# Use a blosc2 container, as it consumes less memory in general
1320+
return blosc2.zeros(reduced_shape, dtype=dtype)
1321+
13171322
# Choose the array with the largest shape as the reference for chunks
13181323
operand = max((o for o in operands.values() if hasattr(o, "chunks")), key=lambda x: len(x.shape))
13191324
chunks = operand.chunks
@@ -1447,10 +1452,6 @@ def reduce_slices( # noqa: C901
14471452
result = reduce_op.value.reduce(result, **reduce_args)
14481453

14491454
if out is None:
1450-
if is_inside_new_expr():
1451-
# We already have the dtype and reduced_shape, so return immediately
1452-
# Use a blosc2 container, as it consumes less memory in general
1453-
return blosc2.zeros(reduced_shape, dtype=dtype)
14541455
out = convert_none_out(dtype, reduce_op, reduced_shape)
14551456

14561457
# Update the output array with the result
@@ -2212,8 +2213,8 @@ def find_args(expr):
22122213
# Give a chance to a possible .reshape() method
22132214
if expression[idx2 : idx2 + len(".reshape(")] == ".reshape(":
22142215
args2, idx3 = find_args(expression[idx2 + len("reshape(") :])
2215-
# Remove a possible shape= from the reshape call
2216-
# (for some reason, other variants like .reshape(shape = shape_) work too)
2216+
# Remove a possible shape= from the reshape call (due to rewriting the expression
2217+
# via extract_numpy_scalars(), other variants like .reshape(shape = shape_) work too)
22172218
args2 = args2.replace("shape=", "")
22182219
args = f"{args}, shape={args2}"
22192220
idx2 += len(".reshape") + idx3

tests/ndarray/test_lazyexpr.py

Lines changed: 0 additions & 24 deletions
Original file line numberDiff line numberDiff line change
@@ -850,30 +850,6 @@ def test_save_constructor_reshape(shape, disk):
850850
blosc2.remove_urlpath("out.b2nd")
851851

852852

853-
@pytest.mark.parametrize("shape", [(10,), (10, 10), (10, 10, 10)])
854-
@pytest.mark.parametrize("disk", [True, False])
855-
def test_save_constructor_reduce(shape, disk):
856-
lshape = math.prod(shape)
857-
urlpath_a = "a.b2nd" if disk else None
858-
urlpath_b = "b.b2nd" if disk else None
859-
a = blosc2.arange(lshape, shape=shape, urlpath=urlpath_a, mode="w")
860-
b = blosc2.ones(shape, urlpath=urlpath_b, mode="w")
861-
expr = f"arange({lshape}).sum() + a + ones({shape}).sum() + b + 1"
862-
lexpr = blosc2.lazyexpr(expr)
863-
if disk:
864-
lexpr.save("out.b2nd")
865-
lexpr = blosc2.open("out.b2nd")
866-
res = lexpr.compute()
867-
na = np.arange(lshape).reshape(shape).sum()
868-
nb = np.ones(shape).sum()
869-
nres = na + a[:] + nb + b[:] + 1
870-
assert np.allclose(res[()], nres)
871-
if disk:
872-
blosc2.remove_urlpath(urlpath_a)
873-
blosc2.remove_urlpath(urlpath_b)
874-
blosc2.remove_urlpath("out.b2nd")
875-
876-
877853
@pytest.mark.parametrize("shape", [(10,), (10, 10), (10, 10, 10)])
878854
@pytest.mark.parametrize("disk", [True, False])
879855
def test_save_2equal_constructors(shape, disk):

tests/ndarray/test_reductions.py

Lines changed: 65 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -5,6 +5,7 @@
55
# This source code is licensed under a BSD-style license (found in the
66
# LICENSE file in the root directory of this source tree)
77
#######################################################################
8+
import math
89

910
import numexpr as ne
1011
import numpy as np
@@ -50,12 +51,15 @@ def array_fixture(dtype_fixture, shape_fixture):
5051
return a1, a2, a3, a4, na1, na2, na3, na4
5152

5253

53-
@pytest.mark.parametrize("reduce_op", ["sum", "prod", "min", "max", "any", "all"])
54+
# @pytest.mark.parametrize("reduce_op", ["sum", "prod", "min", "max", "any", "all"])
55+
@pytest.mark.parametrize("reduce_op", ["sum"])
5456
def test_reduce_bool(array_fixture, reduce_op):
5557
a1, a2, a3, a4, na1, na2, na3, na4 = array_fixture
5658
expr = a1 + a2 > a3 * a4
5759
nres = ne.evaluate("na1 + na2 > na3 * na4")
58-
res = getattr(expr, reduce_op)()
60+
# res = getattr(expr, reduce_op)()
61+
res = expr.sum()
62+
print("res:", res)
5963
nres = getattr(nres, reduce_op)()
6064
tol = 1e-15 if a1.dtype == "float64" else 1e-6
6165
np.testing.assert_allclose(res, nres, atol=tol, rtol=tol)
@@ -353,3 +357,62 @@ def test_save_version4(disk, fill_value, reduce_op, axis):
353357
blosc2.remove_urlpath("a1.b2nd")
354358
blosc2.remove_urlpath("b.b2nd")
355359
blosc2.remove_urlpath("out.b2nd")
360+
361+
362+
@pytest.mark.parametrize("shape", [(10,), (10, 10), (10, 10, 10)])
363+
@pytest.mark.parametrize("disk", [True, False])
364+
@pytest.mark.parametrize("compute", [True, False])
365+
def test_save_constructor_reduce(shape, disk, compute):
366+
lshape = math.prod(shape)
367+
urlpath_a = "a.b2nd" if disk else None
368+
urlpath_b = "b.b2nd" if disk else None
369+
a = blosc2.arange(lshape, shape=shape, urlpath=urlpath_a, mode="w")
370+
b = blosc2.ones(shape, urlpath=urlpath_b, mode="w")
371+
expr = f"arange({lshape}).sum() + a + ones({shape}).sum() + b + 1"
372+
lexpr = blosc2.lazyexpr(expr)
373+
if disk:
374+
lexpr.save("out.b2nd")
375+
lexpr = blosc2.open("out.b2nd")
376+
if compute:
377+
res = lexpr.compute()
378+
res = res[()] # for later comparison with nres
379+
else:
380+
res = lexpr[()]
381+
na = np.arange(lshape).reshape(shape).sum()
382+
nb = np.ones(shape).sum()
383+
nres = na + a[:] + nb + b[:] + 1
384+
assert np.allclose(res[()], nres)
385+
if disk:
386+
blosc2.remove_urlpath(urlpath_a)
387+
blosc2.remove_urlpath(urlpath_b)
388+
blosc2.remove_urlpath("out.b2nd")
389+
390+
391+
@pytest.mark.parametrize("shape", [(10,), (10, 10), (10, 10, 10)])
392+
@pytest.mark.parametrize("disk", [True, False])
393+
@pytest.mark.parametrize("compute", [True, False])
394+
def test_save_constructor_reduce2(shape, disk, compute):
395+
lshape = math.prod(shape)
396+
urlpath_a = "a.b2nd" if disk else None
397+
urlpath_b = "b.b2nd" if disk else None
398+
a = blosc2.arange(lshape, shape=shape, urlpath=urlpath_a, mode="w")
399+
b = blosc2.ones(shape, urlpath=urlpath_b, mode="w")
400+
expr = "sum(a + 1) + (b + 2).sum() + 3"
401+
lexpr = blosc2.lazyexpr(expr)
402+
if disk:
403+
lexpr.save("out.b2nd")
404+
lexpr = blosc2.open("out.b2nd")
405+
if compute:
406+
res = lexpr.compute()
407+
res = res[()] # for later comparison with nres
408+
else:
409+
res = lexpr[()]
410+
na = np.arange(lshape).reshape(shape)
411+
nb = np.ones(shape)
412+
nres = np.sum(na + 1) + (nb + 2).sum() + 3
413+
assert np.allclose(res, nres)
414+
assert res.dtype == nres.dtype
415+
if disk:
416+
blosc2.remove_urlpath(urlpath_a)
417+
blosc2.remove_urlpath(urlpath_b)
418+
blosc2.remove_urlpath("out.b2nd")

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