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import stormpy
from configurations import numpy_avail
class TestMatrixBuilder: def test_matrix_builder(self): builder = stormpy.SparseMatrixBuilder(force_dimensions=True) matrix = builder.build() assert matrix.nr_columns == 0 assert matrix.nr_rows == 0 assert matrix.nr_entries == 0
builder_5x5 = stormpy.SparseMatrixBuilder(5, 5, force_dimensions=False)
builder_5x5.add_next_value(0, 0, 0) builder_5x5.add_next_value(0, 1, 0.1) builder_5x5.add_next_value(2, 2, 22) builder_5x5.add_next_value(2, 3, 23)
assert builder_5x5.get_last_column() == 3 assert builder_5x5.get_last_row() == 2
builder_5x5.add_next_value(3, 2, 32) builder_5x5.add_next_value(3, 4, 34) builder_5x5.add_next_value(4, 3, 43)
matrix_5x5 = builder_5x5.build()
assert matrix_5x5.nr_columns == 5 assert matrix_5x5.nr_rows == 5 assert matrix_5x5.nr_entries == 7
for e in matrix_5x5: assert (e.value() == 0.1 and e.column == 1) or e.value() == 0 or (e.value() > 20 and e.column > 1)
def test_parametric_matrix_builder(self): builder = stormpy.ParametricSparseMatrixBuilder(force_dimensions=True) matrix = builder.build() assert matrix.nr_columns == 0 assert matrix.nr_rows == 0 assert matrix.nr_entries == 0
builder_5x5 = stormpy.ParametricSparseMatrixBuilder(5, 5, force_dimensions=False)
one_pol = stormpy.RationalRF(1) one_pol = stormpy.FactorizedPolynomial(one_pol) first_val = stormpy.FactorizedRationalFunction(one_pol)
two_pol = stormpy.RationalRF(2) two_pol = stormpy.FactorizedPolynomial(two_pol) sec_val = stormpy.FactorizedRationalFunction(two_pol)
builder_5x5.add_next_value(0, 0, first_val) builder_5x5.add_next_value(0, 1, first_val) builder_5x5.add_next_value(2, 2, sec_val) builder_5x5.add_next_value(2, 3, sec_val)
assert builder_5x5.get_last_column() == 3 assert builder_5x5.get_last_row() == 2
builder_5x5.add_next_value(3, 2, sec_val) builder_5x5.add_next_value(3, 4, sec_val) builder_5x5.add_next_value(4, 3, sec_val)
matrix_5x5 = builder_5x5.build()
assert matrix_5x5.nr_columns == 5 assert matrix_5x5.nr_rows == 5 assert matrix_5x5.nr_entries == 7
for e in matrix_5x5: assert (e.value() == first_val and e.column < 2) or (e.value() == sec_val and e.column > 1)
def test_matrix_replace_columns(self): builder = stormpy.SparseMatrixBuilder(3, 4, force_dimensions=False)
builder.add_next_value(0, 0, 0) builder.add_next_value(0, 1, 1) builder.add_next_value(0, 2, 2) builder.add_next_value(0, 3, 3)
builder.add_next_value(1, 1, 1) builder.add_next_value(1, 2, 2) builder.add_next_value(1, 3, 3)
builder.add_next_value(2, 1, 1) builder.add_next_value(2, 2, 2) builder.add_next_value(2, 3, 3)
# replace rows builder.replace_columns([3, 2, 1], 1) matrix = builder.build()
assert matrix.nr_entries == 10
# Check if columns where replaced for e in matrix: assert (e.value() == 0 and e.column == 0) or (e.value() == 3 and e.column == 1) or ( e.value() == 2 and e.column == 2) or (e.value() == 1 and e.column == 3)
def test_parametric_matrix_replace_columns(self): builder = stormpy.ParametricSparseMatrixBuilder(3, 4, force_dimensions=False)
one_pol = stormpy.RationalRF(1) one_pol = stormpy.FactorizedPolynomial(one_pol) first_val = stormpy.FactorizedRationalFunction(one_pol, one_pol) two_pol = stormpy.RationalRF(2) two_pol = stormpy.FactorizedPolynomial(two_pol) sec_val = stormpy.FactorizedRationalFunction(two_pol, two_pol) third_val = stormpy.FactorizedRationalFunction(one_pol, two_pol)
builder.add_next_value(0, 1, first_val) builder.add_next_value(0, 2, sec_val) builder.add_next_value(0, 3, third_val)
builder.add_next_value(1, 1, first_val) builder.add_next_value(1, 2, sec_val) builder.add_next_value(1, 3, third_val)
builder.add_next_value(2, 1, first_val) builder.add_next_value(2, 2, sec_val) builder.add_next_value(2, 3, third_val)
# replace rows builder.replace_columns([3, 2], 2) matrix = builder.build()
assert matrix.nr_entries == 9
# Check if columns where replaced for e in matrix: assert (e.value() == first_val and e.column == 1) or (e.value() == third_val and e.column == 2) or ( e.value() == sec_val and e.column == 3)
def test_matrix_builder_row_grouping(self): num_rows = 5 builder = stormpy.SparseMatrixBuilder(num_rows, 6, has_custom_row_grouping=True, row_groups=2)
builder.new_row_group(1) assert builder.get_current_row_group_count() == 1
builder.new_row_group(4) assert builder.get_current_row_group_count() == 2 matrix = builder.build()
assert matrix.get_row_group_start(0) == 1 assert matrix.get_row_group_end(0) == 4
assert matrix.get_row_group_start(1) == 4 assert matrix.get_row_group_end(1) == 5
def test_parametric_matrix_builder_row_grouping(self): num_rows = 5 builder = stormpy.ParametricSparseMatrixBuilder(num_rows, 6, has_custom_row_grouping=True, row_groups=2)
builder.new_row_group(1) assert builder.get_current_row_group_count() == 1
builder.new_row_group(4) assert builder.get_current_row_group_count() == 2 matrix = builder.build()
assert matrix.get_row_group_start(0) == 1 assert matrix.get_row_group_end(0) == 4
assert matrix.get_row_group_start(1) == 4 assert matrix.get_row_group_end(1) == 5
@numpy_avail def test_matrix_from_numpy(self): import numpy as np array = np.array([[0, 2], [3, 4], [0.1, 24], [-0.3, -4]], dtype='float64')
matrix = stormpy.build_sparse_matrix(array)
# Check matrix dimension assert matrix.nr_rows == array.shape[0] assert matrix.nr_columns == array.shape[1] assert matrix.nr_entries == 8
# Check matrix values for r in range(array.shape[1]): row = matrix.get_row(r) for e in row: assert (e.value() == array[r, e.column])
@numpy_avail def test_parametric_matrix_from_numpy(self): import numpy as np one_pol = stormpy.RationalRF(1) one_pol = stormpy.FactorizedPolynomial(one_pol) first_val = stormpy.FactorizedRationalFunction(one_pol, one_pol) two_pol = stormpy.RationalRF(2) two_pol = stormpy.FactorizedPolynomial(two_pol) sec_val = stormpy.FactorizedRationalFunction(two_pol, two_pol) third_val = stormpy.FactorizedRationalFunction(one_pol, two_pol)
array = np.array([[sec_val, first_val], [first_val, sec_val], [sec_val, sec_val], [third_val, third_val]])
matrix = stormpy.build_parametric_sparse_matrix(array)
# Check matrix dimension assert matrix.nr_rows == array.shape[0] assert matrix.nr_columns == array.shape[1] assert matrix.nr_entries == 8
# Check matrix values for r in range(array.shape[1]): row = matrix.get_row(r) for e in row: assert (e.value() == array[r, e.column])
@numpy_avail def test_matrix_from_numpy_row_grouping(self): import numpy as np array = np.array([[0, 2], [3, 4], [0.1, 24], [-0.3, -4]], dtype='float64')
matrix = stormpy.build_sparse_matrix(array, row_group_indices=[1, 3])
# Check matrix dimension assert matrix.nr_rows == array.shape[0] assert matrix.nr_columns == array.shape[1] assert matrix.nr_entries == 8
# Check matrix values for r in range(array.shape[1]): row = matrix.get_row(r) for e in row: assert (e.value() == array[r, e.column])
# Check row groups assert matrix.get_row_group_start(0) == 1 assert matrix.get_row_group_end(0) == 3
assert matrix.get_row_group_start(1) == 3 assert matrix.get_row_group_end(1) == 4
@numpy_avail def test_parametric_matrix_from_numpy_row_grouping(self): import numpy as np one_pol = stormpy.RationalRF(1) one_pol = stormpy.FactorizedPolynomial(one_pol) first_val = stormpy.FactorizedRationalFunction(one_pol, one_pol) two_pol = stormpy.RationalRF(2) two_pol = stormpy.FactorizedPolynomial(two_pol) sec_val = stormpy.FactorizedRationalFunction(two_pol, two_pol) third_val = stormpy.FactorizedRationalFunction(one_pol, two_pol)
array = np.array([[sec_val, first_val], [first_val, sec_val], [sec_val, sec_val], [third_val, third_val]])
matrix = stormpy.build_parametric_sparse_matrix(array, row_group_indices=[1, 3])
# Check matrix dimension assert matrix.nr_rows == array.shape[0] assert matrix.nr_columns == array.shape[1] assert matrix.nr_entries == 8
# Check matrix values for r in range(array.shape[1]): row = matrix.get_row(r) for e in row: assert (e.value() == array[r, e.column])
# Check row groups assert matrix.get_row_group_start(0) == 1 assert matrix.get_row_group_end(0) == 3
assert matrix.get_row_group_start(1) == 3 assert matrix.get_row_group_end(1) == 4
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