def initialization_error_test(self):
"""Test for the ValueError raised by the MultiDimensionalTimeSeries."""
MultiDimensionalTimeSeries(1)
MultiDimensionalTimeSeries(4)
try:
MultiDimensionalTimeSeries(0)
except ValueError:
pass # pragma: no cover
try:
MultiDimensionalTimeSeries(-4)
except ValueError:
pass # pragma: no cover
def add_entry_error_test(self):
"""Test ValueError of MultiDimensionalTimeSeries.add_entry(...)."""
MultiDimensionalTimeSeries(3).add_entry(1, [1, 2, 3])
MultiDimensionalTimeSeries(4).add_entry(1, [1, 2, 3, 4])
try:
MultiDimensionalTimeSeries(3).add_entry(1, [1, 2])
except ValueError:
pass # pragma: no cover
try:
MultiDimensionalTimeSeries(3).add_entry(1, [1, 2, 3, 4])
except ValueError:
pass # pragma: no cover
MultiDimensionalTimeSeries
def normalize_test(self):
"""This is an empty test."""
try:
MultiDimensionalTimeSeries(3).normalize()
except NotImplementedError:
pass # pragma: no cover
else:
assert False # pragma: no cover
def add_entry_test(self):
"""Test MultiDimensionalTimeSeries.add_entry()."""
data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
mdts = MultiDimensionalTimeSeries(3)
for entry in data:
mdts.add_entry(len(mdts), entry)
assert len(data) == len(mdts)
for idx in xrange(len(data)):
assert [idx] + data[idx] == mdts[idx]
def timeseries_sorted_test(self):
"""Test the sorted_timeseries function."""
data = [[0.0, 0.0], [0.1, 0.1], [0.2, 0.2], [0.3, 0.3], [0.4, 0.4], [0.5, 0.5]]
tsOne = MultiDimensionalTimeSeries(1).from_twodim_list(data)
tsTwo = tsOne.sorted_timeseries()
assert (tsOne == tsTwo)
tsThree = tsOne.sorted_timeseries(False)
assert tsOne == tsThree
assert tsTwo == tsThree
def multidimensionaltimeseries_test(self):
"""Test the initialization of the MultiDimensionalTimeSeries."""
## read the number of rows from the database
cur = self._db.cursor().execute("""SELECT COUNT(*) from TestTable""")
nbrOfTuples = cur.fetchall()[0][0]
## initialize a TimeSeries instance from a database cursor
cur = self._db.cursor().execute("""SELECT timestamp, value, junk_one FROM TestTable""")
ts = MultiDimensionalTimeSeries(dimensions=2)
ts.initialize_from_sql_cursor(cur)
## check if all values of the database got inserted into the TimeSeries
assert len(ts) == nbrOfTuples
def add_entry_format_test(self):
"""Test MultiDimensionalTimeSeries.add_entry with string timestamps."""
mdts = MultiDimensionalTimeSeries(1)
mdts.set_timeformat("%Y-%m-%d_%H:%M:%S")
mdts.add_entry("2013-01-15_16:25:00", 42)
mdts.add_entry("2013-01-15_16:25:00", [42])
def dimension_count_test(self):
"""Test the dimension count."""
assert MultiDimensionalTimeSeries(3).dimension_count() == 3
assert MultiDimensionalTimeSeries(3).dimension_count() < 4
assert MultiDimensionalTimeSeries(40).dimension_count() > 2
