def test_run_rand_by_cell_list_self_timing_max_runtime():
"""
tests run by cell list using a SelfTimingDataset and restricting the
maximum runtime
"""
fd = FakeDataset(sleep_time=0.1)
std = test_cases.SelfTimingDataset(fd)
cell_list = range(500)
date_start = dt.datetime(2007, 1, 1)
date_end = dt.datetime(2008, 1, 1)
date_list = helper.generate_date_list(date_start,
date_end,
n=len(cell_list),
max_spread=5,
min_spread=5)
@test_cases.measure('test_rand_cells', runs=3)
def test():
test_cases.read_rand_cells_by_cell_list(std,
date_list,
cell_list,
max_runtime=0.4)
results = test()
assert std.cells_read == 12
assert len(std.measurements['get_data']) == std.cells_read
def test_run_rand_by_cell_list_self_timing():
"""
tests run by cell list
Does no assertions at the moment, but shows how to use
the class
"""
fd = FakeDataset()
std = test_cases.SelfTimingDataset(fd)
cell_list = range(500)
date_start = dt.datetime(2007, 1, 1)
date_end = dt.datetime(2008, 1, 1)
date_list = helper.generate_date_list(date_start,
date_end,
n=len(cell_list),
max_spread=5,
min_spread=5)
@test_cases.measure('test_rand_cells', runs=3)
def test():
test_cases.read_rand_cells_by_cell_list(std, date_list, cell_list)
results = test()
assert std.cells_read == 500 * 0.01 * 3
assert len(std.measurements['get_data']) == std.cells_read
def test_run_rand_by_gpi_list_self_timing_max_runtime():
"""
tests run by gpi list
"""
fd = FakeDataset(sleep_time=0.01)
std = test_cases.SelfTimingDataset(fd)
# setup grid point index list, must come from grid object or
# sciDB
# this test dataset has 10000 gpis of which 20 percent will be read
gpi_list = range(10000)
@test_cases.measure('test_rand_gpi', runs=3)
def test():
test_cases.read_rand_ts_by_gpi_list(std, gpi_list, max_runtime=0.5)
results = test()
assert std.ts_read <= (10000 * 0.01 * 3) / 2
assert len(std.measurements['get_timeseries']) <= 150
def test_run_rand_by_gpi_list_self_timing():
"""
tests run by gpi list
Does no assertions at the moment, but shows how to use
the class
"""
fd = FakeDataset()
std = test_cases.SelfTimingDataset(fd)
# setup grid point index list, must come from grid object or
# sciDB
# this test dataset has 10000 gpis of which 20 percent will be read
gpi_list = range(10000)
@test_cases.measure('test_rand_gpi', runs=3)
def test():
test_cases.read_rand_ts_by_gpi_list(std, gpi_list)
results = test()
assert std.ts_read == 10000 * 0.01 * 3
assert len(std.measurements['get_timeseries']) == 300
def test_run_rand_by_date_list_self_timing_max_runtime():
"""
tests run by date list
Does no assertions at the moment, but shows how to use
the class
"""
fd = FakeDataset(sleep_time=0.1)
std = test_cases.SelfTimingDataset(fd)
# setup grid point index list, must come from grid object or
# sciDB
# this test dataset has 1 year of dates of which 4 images will be read
date_list = []
for days in range(365):
date_list.append(dt.datetime(2007, 1, 1) + dt.timedelta(days=days))
@test_cases.measure('test_rand_date', runs=3)
def test():
test_cases.read_rand_img_by_date_list(std, date_list, max_runtime=0.3)
results = test()
assert std.img_read == 9
assert len(std.measurements['get_avg_image']) == 9
def test_self_timing_dataset():
fd = FakeDataset()
std = test_cases.SelfTimingDataset(fd)
std.get_timeseries(12)