def test_setitem_array(self):
arr = LabelArray(self.strs, missing_value=None)
orig_arr = arr.copy()
# Write a row.
self.assertFalse(
(arr[0] == arr[1]).all(),
"This test doesn't test anything because rows 0"
" and 1 are already equal!"
)
arr[0] = arr[1]
for i in range(arr.shape[1]):
self.assertEqual(arr[0, i], arr[1, i])
# Write a column.
self.assertFalse(
(arr[:, 0] == arr[:, 1]).all(),
"This test doesn't test anything because columns 0"
" and 1 are already equal!"
)
arr[:, 0] = arr[:, 1]
for i in range(arr.shape[0]):
self.assertEqual(arr[i, 0], arr[i, 1])
# Write the whole array.
arr[:] = orig_arr
check_arrays(arr, orig_arr)
def test_object1darrayoverwrite(self):
pairs = [u + l for u, l in product(ascii_uppercase, ascii_lowercase)]
categories = pairs + ["~" + c for c in pairs]
baseline = LabelArray(
np.array([["".join((r, c)) for c in "abc"] for r in ascii_uppercase]),
None,
categories,
)
full_expected = baseline.copy()
def flip(cs):
if cs is None:
return None
if cs[0] != "~":
return "~" + cs
return cs
def make_overwrite(fr, lr, fc, lc):
fr, lr, fc, lc = map(ord, (fr, lr, fc, lc))
fr -= ord("A")
lr -= ord("A")
fc -= ord("a")
lc -= ord("a")
return Object1DArrayOverwrite(
fr,
lr,
fc,
lc,
baseline[fr : lr + 1, fc].map(flip),
)
overwrites = {
3: [make_overwrite("A", "B", "a", "a")],
4: [make_overwrite("A", "C", "b", "c")],
5: [make_overwrite("D", "D", "a", "b")],
}
it = AdjustedArray(baseline, overwrites, None).traverse(3)
window = next(it)
expected = full_expected[:3]
check_arrays(window, expected)
window = next(it)
full_expected[0:2, 0] = LabelArray(["~Aa", "~Ba"], None)
expected = full_expected[1:4]
check_arrays(window, expected)
window = next(it)
full_expected[0:3, 1:3] = LabelArray(
[["~Ab", "~Ac"], ["~Bb", "~Bc"], ["~Cb", "~Cb"]], None
)
expected = full_expected[2:5]
check_arrays(window, expected)
window = next(it)
full_expected[3, :2] = "~Da"
expected = full_expected[3:6]
check_arrays(window, expected)
def test_setitem_array(self):
arr = LabelArray(self.strs, missing_value=None)
orig_arr = arr.copy()
# Write a row.
self.assertFalse(
(arr[0] == arr[1]).all(),
"This test doesn't test anything because rows 0"
" and 1 are already equal!"
)
arr[0] = arr[1]
for i in range(arr.shape[1]):
self.assertEqual(arr[0, i], arr[1, i])
# Write a column.
self.assertFalse(
(arr[:, 0] == arr[:, 1]).all(),
"This test doesn't test anything because columns 0"
" and 1 are already equal!"
)
arr[:, 0] = arr[:, 1]
for i in range(arr.shape[0]):
self.assertEqual(arr[i, 0], arr[i, 1])
# Write the whole array.
arr[:] = orig_arr
check_arrays(arr, orig_arr)
def test_object1darrayoverwrite(self):
pairs = [u + l for u, l in product(ascii_uppercase, ascii_lowercase)]
categories = pairs + ['~' + c for c in pairs]
baseline = LabelArray(
array([[''.join((r, c)) for c in 'abc'] for r in ascii_uppercase]),
None,
categories,
)
full_expected = baseline.copy()
def flip(cs):
if cs is None:
return None
if cs[0] != '~':
return '~' + cs
return cs
def make_overwrite(fr, lr, fc, lc):
fr, lr, fc, lc = map(ord, (fr, lr, fc, lc))
fr -= ord('A')
lr -= ord('A')
fc -= ord('a')
lc -= ord('a')
return Object1DArrayOverwrite(
fr,
lr,
fc,
lc,
baseline[fr:lr + 1, fc].map(flip),
)
overwrites = {
3: [make_overwrite('A', 'B', 'a', 'a')],
4: [make_overwrite('A', 'C', 'b', 'c')],
5: [make_overwrite('D', 'D', 'a', 'b')],
}
it = AdjustedArray(baseline, overwrites, None).traverse(3)
window = next(it)
expected = full_expected[:3]
check_arrays(window, expected)
window = next(it)
full_expected[0:2, 0] = LabelArray(['~Aa', '~Ba'], None)
expected = full_expected[1:4]
check_arrays(window, expected)
window = next(it)
full_expected[0:3, 1:3] = LabelArray(
[['~Ab', '~Ac'], ['~Bb', '~Bc'], ['~Cb', '~Cb']], None)
expected = full_expected[2:5]
check_arrays(window, expected)
window = next(it)
full_expected[3, :2] = '~Da'
expected = full_expected[3:6]
check_arrays(window, expected)
def test_object1darrayoverwrite(self):
pairs = [u + l for u, l in product(ascii_uppercase, ascii_lowercase)]
categories = pairs + ['~' + c for c in pairs]
baseline = LabelArray(
array([[''.join((r, c)) for c in 'abc'] for r in ascii_uppercase]),
None,
categories,
)
full_expected = baseline.copy()
def flip(cs):
if cs is None:
return None
if cs[0] != '~':
return '~' + cs
return cs
def make_overwrite(fr, lr, fc, lc):
fr, lr, fc, lc = map(ord, (fr, lr, fc, lc))
fr -= ord('A')
lr -= ord('A')
fc -= ord('a')
lc -= ord('a')
return Object1DArrayOverwrite(
fr, lr,
fc, lc,
baseline[fr:lr + 1, fc].map(flip),
)
overwrites = {
3: [make_overwrite('A', 'B', 'a', 'a')],
4: [make_overwrite('A', 'C', 'b', 'c')],
5: [make_overwrite('D', 'D', 'a', 'b')],
}
it = AdjustedArray(baseline, overwrites, None).traverse(3)
window = next(it)
expected = full_expected[:3]
check_arrays(window, expected)
window = next(it)
full_expected[0:2, 0] = LabelArray(['~Aa', '~Ba'], None)
expected = full_expected[1:4]
check_arrays(window, expected)
window = next(it)
full_expected[0:3, 1:3] = LabelArray([['~Ab', '~Ac'],
['~Bb', '~Bc'],
['~Cb', '~Cb']], None)
expected = full_expected[2:5]
check_arrays(window, expected)
window = next(it)
full_expected[3, :2] = '~Da'
expected = full_expected[3:6]
check_arrays(window, expected)
