def test_sort_collectionsmodel():
coll = [1, 3, 2]
cm = CollectionsModel(None, coll)
assert cm.rowCount() == 3
assert cm.columnCount() == 4
cm.sort(0) # sort by index
assert data_table(cm, 3, 4) == [['0', '1', '2'],
['int', 'int', 'int'],
['1', '1', '1'],
['1', '3', '2']]
cm.sort(3) # sort by value
assert data_table(cm, 3, 4) == [['0', '2', '1'],
['int', 'int', 'int'],
['1', '1', '1'],
['1', '2', '3']]
coll = [[1, 2], 3]
cm = CollectionsModel(None, coll)
assert cm.rowCount() == 2
assert cm.columnCount() == 4
cm.sort(1) # sort by type
assert data_table(cm, 2, 4) == [['1', '0'],
['int', 'list'],
['1', '2'],
['3', '[1, 2]']]
cm.sort(2) # sort by size
assert data_table(cm, 2, 4) == [['1', '0'],
['int', 'list'],
['1', '2'],
['3', '[1, 2]']]
def test_sort_collectionsmodel():
coll = [1, 3, 2]
cm = CollectionsModel(None, coll)
assert cm.rowCount() == 3
assert cm.columnCount() == 4
cm.sort(0) # sort by index
assert data_table(cm, 3, 4) == [['0', '1', '2'],
['int', 'int', 'int'],
['1', '1', '1'],
['1', '3', '2']]
cm.sort(3) # sort by value
assert data_table(cm, 3, 4) == [['0', '2', '1'],
['int', 'int', 'int'],
['1', '1', '1'],
['1', '2', '3']]
coll = [[1, 2], 3]
cm = CollectionsModel(None, coll)
assert cm.rowCount() == 2
assert cm.columnCount() == 4
cm.sort(1) # sort by type
assert data_table(cm, 2, 4) == [['1', '0'],
['int', 'list'],
['1', '2'],
['3', '[1, 2]']]
cm.sort(2) # sort by size
assert data_table(cm, 2, 4) == [['1', '0'],
['int', 'list'],
['1', '2'],
['3', '[1, 2]']]
def test_sort_collectionsmodel_with_many_rows():
coll = list(range(2 * LARGE_NROWS))
cm = CollectionsModel(None, coll)
assert cm.rowCount() == cm.rows_loaded == ROWS_TO_LOAD
assert cm.columnCount() == 4
cm.sort(1) # This was causing an issue (#5232)
cm.fetchMore()
assert cm.rowCount() == 2 * ROWS_TO_LOAD
for _ in range(3):
cm.fetchMore()
assert cm.rowCount() == len(coll)
def test_sort_collectionsmodel_with_many_rows():
coll = list(range(2*LARGE_NROWS))
cm = CollectionsModel(None, coll)
assert cm.rowCount() == cm.rows_loaded == ROWS_TO_LOAD
assert cm.columnCount() == 4
cm.sort(1) # This was causing an issue (#5232)
cm.fetchMore()
assert cm.rowCount() == 2 * ROWS_TO_LOAD
for _ in range(3):
cm.fetchMore()
assert cm.rowCount() == len(coll)
def test_notimplementederror_multiindex():
"""
Test that the NotImplementedError when scrolling a MultiIndex is handled.
Regression test for issue #6284 .
"""
time_deltas = [pandas.Timedelta(minutes=minute)
for minute in range(5, 35, 5)]
time_delta_multiindex = pandas.MultiIndex.from_product([[0, 1, 2, 3, 4],
time_deltas])
col_model = CollectionsModel(None, time_delta_multiindex)
assert col_model.rowCount() == col_model.rows_loaded == ROWS_TO_LOAD
assert col_model.columnCount() == 4
col_model.fetchMore()
assert col_model.rowCount() == 2 * ROWS_TO_LOAD
for _ in range(3):
col_model.fetchMore()
assert col_model.rowCount() == 5 * ROWS_TO_LOAD
def test_collectionsmodel_with_two_ints():
coll = {'x': 1, 'y': 2}
cm = CollectionsModel(None, coll)
assert cm.rowCount() == 2
assert cm.columnCount() == 4
# dict is unordered, so first row might be x or y
assert data(cm, 0, 0) in {'x', 'y'}
if data(cm, 0, 0) == 'x':
row_with_x = 0
row_with_y = 1
else:
row_with_x = 1
row_with_y = 0
assert data(cm, row_with_x, 1) == 'int'
assert data(cm, row_with_x, 2) == '1'
assert data(cm, row_with_x, 3) == '1'
assert data(cm, row_with_y, 0) == 'y'
assert data(cm, row_with_y, 1) == 'int'
assert data(cm, row_with_y, 2) == '1'
assert data(cm, row_with_y, 3) == '2'
def test_collectionsmodel_with_two_ints():
coll = {'x': 1, 'y': 2}
cm = CollectionsModel(None, coll)
assert cm.rowCount() == 2
assert cm.columnCount() == 4
# dict is unordered, so first row might be x or y
assert data(cm, 0, 0) in {'x', 'y'}
if data(cm, 0, 0) == 'x':
row_with_x = 0
row_with_y = 1
else:
row_with_x = 1
row_with_y = 0
assert data(cm, row_with_x, 1) == 'int'
assert data(cm, row_with_x, 2) == '1'
assert data(cm, row_with_x, 3) == '1'
assert data(cm, row_with_y, 0) == 'y'
assert data(cm, row_with_y, 1) == 'int'
assert data(cm, row_with_y, 2) == '1'
assert data(cm, row_with_y, 3) == '2'