def test_bag_creation():
"""
Ensure create appropriate # of conjunctions, that they have been
instantiated properly, and there are no duplicates.
"""
mapDir = os.path.join(__rlpy_location__, "Domains", "GridWorldMaps")
mapname=os.path.join(mapDir, "4x5.txt") # expect 4*5 = 20 states
domain = GridWorld(mapname=mapname)
initial_representation = IndependentDiscretization(domain)
maxBatchDiscovery=np.inf
batchThreshold=1e-10
discretization=20
bagSize=100000 # We add all possible features
rep = OMPTD(domain, initial_representation, discretization,
maxBatchDiscovery, batchThreshold, bagSize, sparsify=False)
assert rep.totalFeatureSize == 9+20
assert rep.features_num == 9
# Compute full (including non-discovered) feature vec for a few states
states = np.array([[0,0], [0,1], [1,0], [1,1]])
s0_unused = domain.s0() # just to initialize domain.state, etc
rep.calculateFullPhiNormalized(states)
phi_states = rep.fullphi
phi_states[phi_states>0] = True
true_phi_s1 = np.zeros(len(phi_states[0,:]))
true_phi_s1[0] = True
true_phi_s1[4] = True # TODO - could be [4] depending on axes, check.
true_phi_s1[9] = True # The conjunction of [0,0]
assert np.all(true_phi_s1 == phi_states[0,:]) # expected feature vec returned
assert sum(phi_states[0,:]) == 3 # 2 original basic feats and 1 conjunction
true_phi_s2 = np.zeros(len(phi_states[0,:]))
true_phi_s2[0] = True
true_phi_s2[5] = True # TODO - could be [4] depending on axes, check.
true_phi_s2[10] = True # The conjunction of [0,0]
assert np.all(true_phi_s2 == phi_states[1,:]) # expected feature vec returned
assert sum(phi_states[1,:]) == 3 # 2 original basic feats and 1 conjunction
true_phi_s3 = np.zeros(len(phi_states[0,:]))
true_phi_s3[1] = True
true_phi_s3[4] = True # TODO - could be [4] depending on axes, check.
true_phi_s3[14] = True # The conjunction of [0,0]
assert np.all(true_phi_s3 == phi_states[2,:]) # expected feature vec returned
assert sum(phi_states[2,:]) == 3 # 2 original basic feats and 1 conjunction
true_phi_s4 = np.zeros(len(phi_states[0,:]))
true_phi_s4[1] = True
true_phi_s4[5] = True # TODO - could be [4] depending on axes, check.
true_phi_s4[15] = True # The conjunction of [0,0]
assert np.all(true_phi_s4 == phi_states[3,:]) # expected feature vec returned
assert sum(phi_states[3,:]) == 3 # 2 original basic feats and 1 conjunction
def test_bag_creation():
"""
Ensure create appropriate # of conjunctions, that they have been
instantiated properly, and there are no duplicates.
"""
mapDir = os.path.join(__rlpy_location__, "Domains", "GridWorldMaps")
mapname = os.path.join(mapDir, "4x5.txt") # expect 4*5 = 20 states
domain = GridWorld(mapname=mapname)
initial_representation = IndependentDiscretization(domain)
maxBatchDiscovery = np.inf
batchThreshold = 1e-10
discretization = 20
bagSize = 100000 # We add all possible features
rep = OMPTD(domain,
initial_representation,
discretization,
maxBatchDiscovery,
batchThreshold,
bagSize,
sparsify=False)
assert rep.totalFeatureSize == 9 + 20
assert rep.features_num == 9
# Compute full (including non-discovered) feature vec for a few states
states = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
s0_unused = domain.s0() # just to initialize domain.state, etc
rep.calculateFullPhiNormalized(states)
phi_states = rep.fullphi
phi_states[phi_states > 0] = True
true_phi_s1 = np.zeros(len(phi_states[0, :]))
true_phi_s1[0] = True
true_phi_s1[4] = True # TODO - could be [4] depending on axes, check.
true_phi_s1[9] = True # The conjunction of [0,0]
assert np.all(
true_phi_s1 == phi_states[0, :]) # expected feature vec returned
assert sum(
phi_states[0, :]) == 3 # 2 original basic feats and 1 conjunction
true_phi_s2 = np.zeros(len(phi_states[0, :]))
true_phi_s2[0] = True
true_phi_s2[5] = True # TODO - could be [4] depending on axes, check.
true_phi_s2[10] = True # The conjunction of [0,0]
assert np.all(
true_phi_s2 == phi_states[1, :]) # expected feature vec returned
assert sum(
phi_states[1, :]) == 3 # 2 original basic feats and 1 conjunction
true_phi_s3 = np.zeros(len(phi_states[0, :]))
true_phi_s3[1] = True
true_phi_s3[4] = True # TODO - could be [4] depending on axes, check.
true_phi_s3[14] = True # The conjunction of [0,0]
assert np.all(
true_phi_s3 == phi_states[2, :]) # expected feature vec returned
assert sum(
phi_states[2, :]) == 3 # 2 original basic feats and 1 conjunction
true_phi_s4 = np.zeros(len(phi_states[0, :]))
true_phi_s4[1] = True
true_phi_s4[5] = True # TODO - could be [4] depending on axes, check.
true_phi_s4[15] = True # The conjunction of [0,0]
assert np.all(
true_phi_s4 == phi_states[3, :]) # expected feature vec returned
assert sum(
phi_states[3, :]) == 3 # 2 original basic feats and 1 conjunction
