def testOneDimGraphOn(self):
'''Verifying Graphing on doesn't break a one-dimensional experiment'''
exp = BaseExperiment()
values = range(10)
runner = lambda x: x**2 - x*10 + 1
vals = exp.run(runner, values, graph=True)
assert (vals == np.array(map(runner, values))).all(), 'Run did not return the proper values.'
def test0DimWithRepeats(self):
'''Run the 0-dimension test with repeats'''
exp = BaseExperiment()
runner = lambda: np.random.randn()
val = exp.run(runner, None, graph=False, disp=False, repeats=100)
assert val != None, 'Run did not return a value.'
assert type(val) == np.float64, 'Run did not return a float.'
assert np.abs(val) < 1, 'Run did not return the proper value.'
def testNoExperiment(self):
'''Testing a zero-dimensional experiment'''
exp = BaseExperiment()
runner = lambda: 87
val = exp.run(runner, None, graph=False, disp=False)
assert val != None, 'Run did not return a value.'
assert type(val) == np.float64, 'Run did not return a float.'
assert val == runner(), 'Run did not return the proper value.'
def testTwoDimGraphOn(self):
'''Verifying Graphing on doesn't break a two-dimensional experiment'''
exp = BaseExperiment()
values = (np.arange(10.0, dtype=float), np.arange(10.0, dtype=float)) # Use floats
runner = lambda x, y: x**2-3*y**2+x*y-2*x+1.2
vals = exp.run(runner, values, graph=True)
assert (vals == np.array([[runner(v1,v2)
for v1 in values[0]]
for v2 in values[1]])).all(), 'Run did not return the proper values.'
def testOneDimExperiment(self, repeats=0):
'''Testing a one-dimensional experiment with array input'''
exp = BaseExperiment()
values = [range(10)]
runner = lambda x: x**2 - x*10 + 1
vals = exp.run(runner, values, graph=False, disp=False, repeats=repeats)
assert vals != None, 'Run did not return a value.'
assert type(vals) == np.ndarray, 'Run did not return an np.ndarray.'
assert len(vals) == len(values[0]), 'Run did not return a list of proper length.'
assert type(vals[0]) == np.float64, 'Run did not return a list of floats.'
assert (vals == np.array(map(runner, values[0]))).all(), 'Run did not return the proper values.'
def testTwoDimExperiment(self, repeats=0):
'''Testing a two-dimensional experiment'''
exp = BaseExperiment()
values = (np.arange(10.0, dtype=float), np.arange(10.0, dtype=float)) # Use floats
runner = lambda x, y: x**2-3*y**2+x*y-2*x+1.2
vals = exp.run(runner, values, graph=False, disp=False, repeats=repeats)
assert vals != None, 'Run did not return a value.'
assert type(vals) == np.ndarray, 'Run did not return an np.ndarray.'
assert np.shape(vals) == (len(values[0]), len(values[1])), 'Run did not return an array of proper shape.'
assert type(vals[0][0]) == np.float64, 'Run did not return an array of floats.'
assert ((vals - np.array([[runner(v1,v2)
for v1 in values[0]]
for v2 in values[1]])) < 0.0001).all(), 'Run did not return the proper values.'
