Repository URL to install this package:
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Version:
2022.10.0 ▾
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import pytest
pytest.importorskip("numpy")
import operator
import numpy as np
import dask.array as da
from dask.array.chunk import coarsen, getitem, keepdims_wrapper
def test_keepdims_wrapper_no_axis():
def summer(a, axis=None):
return a.sum(axis=axis)
summer_wrapped = keepdims_wrapper(summer)
assert summer_wrapped != summer
a = np.arange(24).reshape(1, 2, 3, 4)
r = summer(a)
rw = summer_wrapped(a, keepdims=True)
rwf = summer_wrapped(a, keepdims=False)
assert r.ndim == 0
assert r.shape == tuple()
assert r == 276
assert rw.ndim == 4
assert rw.shape == (1, 1, 1, 1)
assert (rw == 276).all()
assert rwf.ndim == 0
assert rwf.shape == tuple()
assert rwf == 276
def test_keepdims_wrapper_one_axis():
def summer(a, axis=None):
return a.sum(axis=axis)
summer_wrapped = keepdims_wrapper(summer)
assert summer_wrapped != summer
a = np.arange(24).reshape(1, 2, 3, 4)
r = summer(a, axis=2)
rw = summer_wrapped(a, axis=2, keepdims=True)
rwf = summer_wrapped(a, axis=2, keepdims=False)
assert r.ndim == 3
assert r.shape == (1, 2, 4)
assert (r == np.array([[[12, 15, 18, 21], [48, 51, 54, 57]]])).all()
assert rw.ndim == 4
assert rw.shape == (1, 2, 1, 4)
assert (rw == np.array([[[[12, 15, 18, 21]], [[48, 51, 54, 57]]]])).all()
assert rwf.ndim == 3
assert rwf.shape == (1, 2, 4)
assert (rwf == np.array([[[12, 15, 18, 21], [48, 51, 54, 57]]])).all()
def test_keepdims_wrapper_two_axes():
def summer(a, axis=None):
return a.sum(axis=axis)
summer_wrapped = keepdims_wrapper(summer)
assert summer_wrapped != summer
a = np.arange(24).reshape(1, 2, 3, 4)
r = summer(a, axis=(1, 3))
rw = summer_wrapped(a, axis=(1, 3), keepdims=True)
rwf = summer_wrapped(a, axis=(1, 3), keepdims=False)
assert r.ndim == 2
assert r.shape == (1, 3)
assert (r == np.array([[60, 92, 124]])).all()
assert rw.ndim == 4
assert rw.shape == (1, 1, 3, 1)
assert (rw == np.array([[[[60], [92], [124]]]])).all()
assert rwf.ndim == 2
assert rwf.shape == (1, 3)
assert (rwf == np.array([[60, 92, 124]])).all()
def test_coarsen():
x = np.random.randint(10, size=(24, 24))
y = coarsen(np.sum, x, {0: 2, 1: 4})
assert y.shape == (12, 6)
assert y[0, 0] == np.sum(x[:2, :4])
"""
def test_coarsen_on_uneven_shape():
x = np.random.randint(10, size=(23, 24))
y = coarsen(np.sum, x, {0: 2, 1: 4})
assert y.shape == (12, 6)
assert y[0, 0] == np.sum(x[:2, :4])
assert eq(y[11, :], x[23, :])
"""
def test_integer_input():
assert da.zeros((4, 6), chunks=2).rechunk(3).chunks == ((3, 1), (3, 3))
def test_getitem():
x = np.random.rand(1_000_000)
y = getitem(x, slice(120, 122))
assert y.flags.owndata
assert not getitem(x, slice(1, None)).flags.owndata
y_op = operator.getitem(x, slice(120, 122))
assert not y_op.flags.owndata
assert not operator.getitem(x, slice(1, None)).flags.owndata