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completed ctmc tests

refactoring
hannah 5 years ago
committed by Matthias Volk
parent
7bc0168775
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f4b3169c0d
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1 changed files with 170 additions and 15 deletions
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  1. 185
      tests/storage/test_model_components.py

185
tests/storage/test_model_components.py
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@ -1,7 +1,7 @@
import stormpy
import stormpy.logic
from helpers.helper import get_example_path
import pytest
from configurations import numpy_avail
class TestSparseModelComponents:
@ -25,7 +25,7 @@ class TestSparseModelComponents:
nr_states = 13
nr_choices = 13
# TransitionMatrix
# transition_matrix
builder = stormpy.SparseMatrixBuilder(rows=0, columns=0, entries=0, force_dimensions=False,
has_custom_row_grouping=False, row_groups=0)
@ -49,7 +49,7 @@ class TestSparseModelComponents:
# Build transition matrix, update number of rows and columns
transition_matrix = builder.build(nr_states, nr_states)
# StateLabeling
# state_labeling
state_labeling = stormpy.storage.StateLabeling(nr_states)
state_labels = {'init', 'one', 'two', 'three', 'four', 'five', 'six', 'done', 'deadlock'}
for label in state_labels:
@ -62,16 +62,16 @@ class TestSparseModelComponents:
state_labeling.add_label_to_state('four', 10)
state_labeling.add_label_to_state('five', 11)
state_labeling.add_label_to_state('six', 12)
# Set the labeling of states given in a bit vector, where length = nr_states
state_labeling.set_states('done', stormpy.BitVector(nr_states, [7, 8, 9, 10, 11, 12]))
# RewardModels
# reward_models
reward_models = {}
# Create a vector representing the state-action rewards
action_reward = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
reward_models['coin_flips'] = stormpy.SparseRewardModel(optional_state_action_reward_vector=action_reward)
# StateValuations
# state_valuations
manager = stormpy.ExpressionManager()
var_s = manager.create_integer_variable(name='s')
var_d = manager.create_integer_variable(name='d')
@ -87,29 +87,29 @@ class TestSparseModelComponents:
state_valuations = v_builder.build(13)
# todo choice origins:
# choice origins
prism_program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
index_to_identifier_mapping = [1, 2, 3, 4, 5, 6, 7, 8, 8, 8, 8, 8, 8]
id_to_command_set_mapping = [stormpy.FlatSet() for _ in range(9)]
for i in range(1, 8): # 0: no origin
id_to_command_set_mapping[i].insert(i - 1)
id_to_command_set_mapping[8].insert(7)
#
choice_origins = stormpy.PrismChoiceOrigins(prism_program, index_to_identifier_mapping,
id_to_command_set_mapping)
# Construct Components
components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling,
reward_models=reward_models)
components.choice_origins = choice_origins
components.state_valuations = state_valuations
# Build DTMC
dtmc = stormpy.storage.SparseDtmc(components)
assert type(dtmc) is stormpy.SparseDtmc
assert not dtmc.supports_parameters
# test transition matrix
# Test transition matrix
assert dtmc.nr_choices == nr_choices
assert dtmc.nr_states == nr_states
assert dtmc.nr_transitions == 20
@ -119,10 +119,10 @@ class TestSparseModelComponents:
for state in dtmc.states:
assert len(state.actions) <= 1
# test state_labeling
# Test state_labeling
assert dtmc.labeling.get_labels() == {'init', 'deadlock', 'done', 'one', 'two', 'three', 'four', 'five', 'six'}
# test reward_models
# Test reward_models
assert len(dtmc.reward_models) == 1
assert not dtmc.reward_models["coin_flips"].has_state_rewards
assert dtmc.reward_models["coin_flips"].has_state_action_rewards
@ -130,10 +130,10 @@ class TestSparseModelComponents:
assert reward == 1.0 or reward == 0.0
assert not dtmc.reward_models["coin_flips"].has_transition_rewards
# test choice_labeling
# Test choice_labeling
assert not dtmc.has_choice_labeling()
# test state_valuations
# Test state_valuations
assert dtmc.has_state_valuations()
assert dtmc.state_valuations
value_s = [None] * nr_states
@ -144,7 +144,162 @@ class TestSparseModelComponents:
assert value_s == [0, 1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7]
assert value_d == [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6]
# todo choice_origins more tests
# Test choice_origins
assert dtmc.has_choice_origins()
assert dtmc.choice_origins is components.choice_origins
assert dtmc.choice_origins.get_number_of_identifiers() == 9
@numpy_avail
def test_build_ctmc_from_model_components(self):
import numpy as np
nr_states = 12
nr_choices = 12
# Build transition_matrix
transitions = np.array([
[0, 0.5, 0.5, 200, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0.5, 200, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0.5, 0, 200, 0, 0, 0, 0, 0],
[200, 0, 0, 0, 0, 0, 0.5, 0.5, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0.5, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5, 200, 0],
[0, 200, 0, 0, 0, 0, 0, 0, 0, 0.5, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype='float64')
transition_matrix = stormpy.build_sparse_matrix(transitions)
# state_labeling
state_labeling = stormpy.storage.StateLabeling(nr_states)
# Add labels
state_labels = {'init', 'deadlock', 'target'}
for label in state_labels:
state_labeling.add_label(label)
# Add labels to states
state_labeling.add_label_to_state('init', 0)
state_labeling.set_states('target', stormpy.BitVector(nr_states, [5, 8]))
# reward_models
reward_models = {}
# vector representing state-action rewards
action_reward = [0.0, 0.0, 0.0, 0.0, 0.0, 2 / 3, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0]
reward_models['served'] = stormpy.SparseRewardModel(optional_state_action_reward_vector=action_reward)
# vector representing state rewards
state_reward = [0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0]
reward_models['waiting'] = stormpy.SparseRewardModel(optional_state_reward_vector=state_reward)
# choice_labeling
choice_labeling = stormpy.storage.ChoiceLabeling(nr_choices)
choice_labels = {'loop1a', 'loop1b', 'serve1', 'loop2a', 'loop2b', 'serve2'}
# Add labels
for label in choice_labels:
choice_labeling.add_label(label)
choice_labeling.set_choices('loop1a', stormpy.BitVector(nr_choices, [0, 2]))
choice_labeling.set_choices('loop1b', stormpy.BitVector(nr_choices, [1, 4]))
choice_labeling.set_choices('serve1', stormpy.BitVector(nr_choices, [5, 8]))
choice_labeling.set_choices('loop2a', stormpy.BitVector(nr_choices, [3, 7]))
choice_labeling.set_choices('loop2b', stormpy.BitVector(nr_choices, [6, 9]))
choice_labeling.set_choices('serve2', stormpy.BitVector(nr_choices, [10, 11]))
# state exit rates
exit_rates = [201.0, 200.5, 200.5, 201.0, 200.0, 1.5, 200.5, 200.5, 1.0, 200.0, 1.5, 1.0]
# state_valuations
manager = stormpy.ExpressionManager()
var_s = manager.create_integer_variable(name='s')
var_a = manager.create_integer_variable(name='a')
var_s1 = manager.create_integer_variable(name='s1')
var_s2 = manager.create_integer_variable(name='s2')
v_builder = stormpy.StateValuationsBuilder()
v_builder.add_variable(var_s)
v_builder.add_variable(var_a)
v_builder.add_variable(var_s1)
v_builder.add_variable(var_s2)
v_builder.add_state(state=0, boolean_values=[], integer_values=[1, 0, 0, 0], rational_values=[])
v_builder.add_state(state=1, boolean_values=[], integer_values=[1, 0, 1, 0], rational_values=[])
v_builder.add_state(state=2, boolean_values=[], integer_values=[1, 0, 0, 1], rational_values=[])
v_builder.add_state(state=3, boolean_values=[], integer_values=[2, 0, 0, 0], rational_values=[])
v_builder.add_state(state=4, boolean_values=[], integer_values=[1, 0, 1, 1], rational_values=[])
v_builder.add_state(state=5, boolean_values=[], integer_values=[1, 1, 1, 0], rational_values=[])
v_builder.add_state(state=6, boolean_values=[], integer_values=[2, 0, 0, 1], rational_values=[])
v_builder.add_state(state=7, boolean_values=[], integer_values=[2, 0, 1, 0], rational_values=[])
v_builder.add_state(state=8, boolean_values=[], integer_values=[1, 1, 1, 1], rational_values=[])
v_builder.add_state(state=9, boolean_values=[], integer_values=[2, 0, 1, 1], rational_values=[])
v_builder.add_state(state=10, boolean_values=[], integer_values=[2, 1, 0, 1], rational_values=[])
v_builder.add_state(state=11, boolean_values=[], integer_values=[2, 1, 1, 1], rational_values=[])
state_valuations = v_builder.build(nr_states)
# set rate_transitions to True: the transition values are interpreted as rates
components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling,
reward_models=reward_models, rate_transitions=True)
components.choice_labeling = choice_labeling
components.exit_rates = exit_rates
components.state_valuations = state_valuations
ctmc = stormpy.storage.SparseCtmc(components)
assert type(ctmc) is stormpy.SparseCtmc
assert not ctmc.supports_parameters
# Test transition matrix
assert ctmc.nr_choices == nr_choices
assert ctmc.nr_states == nr_states
assert ctmc.nr_transitions == 22
assert ctmc.transition_matrix.nr_columns == nr_choices
assert ctmc.transition_matrix.nr_rows == nr_states
for e in ctmc.transition_matrix:
assert e.value() == 0.5 or e.value() == 0 or e.value() == 200 or e.value() == 1.0
for state in ctmc.states:
assert len(state.actions) <= 3
# Test state_labeling
assert ctmc.labeling.get_labels() == {'target', 'init', 'deadlock'}
# Test reward_models
assert len(ctmc.reward_models) == 2
assert not ctmc.reward_models["served"].has_state_rewards
assert ctmc.reward_models["served"].has_state_action_rewards
assert ctmc.reward_models["served"].state_action_rewards == [0.0, 0.0, 0.0, 0.0, 0.0, 0.6666666666666666, 0.0, 0.0, 1.0, 0.0,
0.0, 0.0]
assert not ctmc.reward_models["served"].has_transition_rewards
assert ctmc.reward_models["waiting"].has_state_rewards
assert not ctmc.reward_models["waiting"].has_state_action_rewards
assert ctmc.reward_models["waiting"].state_rewards == [0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0]
assert not ctmc.reward_models["waiting"].has_transition_rewards
# Test choice_labeling
assert ctmc.has_choice_labeling()
assert ctmc.choice_labeling.get_labels() == {'loop1a', 'loop1b', 'serve1', 'loop2a', 'loop2b', 'serve2'}
# Test state_valuations
assert ctmc.has_state_valuations()
assert ctmc.state_valuations
value_s = [None] * nr_states
value_a = [None] * nr_states
value_s1 = [None] * nr_states
value_s2 = [None] * nr_states
for s in range(0, ctmc.nr_states):
value_s[s] = ctmc.state_valuations.get_integer_value(s, var_s)
value_a[s] = ctmc.state_valuations.get_integer_value(s, var_a)
value_s1[s] = ctmc.state_valuations.get_integer_value(s, var_s1)
value_s2[s] = ctmc.state_valuations.get_integer_value(s, var_s2)
assert value_s == [1,1,1,2,1,1,2,2,1,2,2,2]
assert value_a == [0,0,0,0,0,1,0,0,1,0,1,1]
assert value_s1 == [0,1,0,0,1,1,0,1,1,1,0,1]
assert value_s2 == [0,0,1,0,1,0,1,0,1,1,1,1]
# Test choice_origins
assert not ctmc.has_choice_origins()
# Test exit_rates
assert ctmc.exit_rates == [201.0, 200.5, 200.5, 201.0, 200.0, 1.5, 200.5, 200.5, 1.0, 200.0, 1.5, 1.0]
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