Stormpy.core¶

class ActionMaskDouble¶

class AtomicExpressionFormula¶

Formula with an atomic expression

get_expression(self: stormpy.logic.logic.AtomicExpressionFormula) → stormpy.storage.storage.Expression¶

class AtomicLabelFormula¶

Formula with an atomic label

property label¶: label in the formula

class Bdd_Sylvan¶

Bdd

to_expression(self: stormpy.storage.storage.Bdd_Sylvan, expression_manager: storm::expressions::ExpressionManager) → Tuple[List[storm::expressions::Expression], Dict[int, storm::expressions::Variable]]¶

class BinaryBooleanOperatorType¶

Members:

AND

AND = <BinaryBooleanOperatorType.AND: 0>¶

OR = <BinaryBooleanOperatorType.OR: 1>¶

property name¶

property value¶

class BinaryPathFormula¶

Path formula with two operands

property left_subformula¶

property right_subformula¶

class BinaryStateFormula¶: State formula with two operands

class BisimulationType¶

Types of bisimulation

Members:

STRONG

WEAK

STRONG = <BisimulationType.STRONG: 0>¶

WEAK = <BisimulationType.WEAK: 1>¶

property name¶

property value¶

class BitVector¶

get(self: stormpy.storage.storage.BitVector, index: int) → bool¶

static load_from_string(description: str) → stormpy.storage.storage.BitVector¶

number_of_set_bits(self: stormpy.storage.storage.BitVector) → int¶

set(self: stormpy.storage.storage.BitVector, index: int, value: bool = True) → None¶: Set

size(self: stormpy.storage.storage.BitVector) → int¶

store_as_string(self: stormpy.storage.storage.BitVector) → str¶

class BooleanBinaryStateFormula¶: Boolean binary state formula

class BooleanLiteralFormula¶: Formula with a boolean literal

class BoundedUntilFormula¶

Until Formula with either a step or a time bound.

property has_lower_bound¶

property is_multidimensional¶: Is the bound multi-dimensional

property left_subformula¶

property right_subformula¶

property upper_bound_expression¶

class BuilderOptions¶

Options for building process

property preserved_label_names¶: Labels preserved

set_add_out_of_bounds_state(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build with out of bounds state

set_add_overlapping_guards_label(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build with overlapping guards state labeled

set_build_all_labels(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build with all state labels

set_build_all_reward_models(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build with all reward models

set_build_choice_labels(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build with choice labels

set_build_observation_valuations(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build observation valuations

set_build_state_valuations(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build state valuations

set_build_with_choice_origins(self: stormpy.core.BuilderOptions, new_value: bool = True) → stormpy.core.BuilderOptions¶: Build choice origins

class CheckTask¶

Task for model checking

set_hint(self: stormpy.core.CheckTask, arg0: storm::modelchecker::ModelCheckerHint) → None¶: Sets a hint that may speed up the solver

set_produce_schedulers(self: stormpy.core.CheckTask, produce_schedulers: bool = True) → None¶: Set whether schedulers should be produced (if possible)

class ChoiceLabeling¶

Labeling for choices

add_label_to_choice(self: stormpy.storage.storage.ChoiceLabeling, label: str, state: int) → None¶: Adds a label to a given choice

get_choices(self: stormpy.storage.storage.ChoiceLabeling, label: str) → stormpy.storage.storage.BitVector¶: Get all choices which have the given label

get_labels_of_choice(self: stormpy.storage.storage.ChoiceLabeling, choice: int) → Set[str]¶: Get labels of the given choice

set_choices(self: stormpy.storage.storage.ChoiceLabeling, label: str, choices: stormpy.storage.storage.BitVector) → None¶: Add a label to a the given choices

class ChoiceOrigins¶

This class represents the origin of choices of a model in terms of the input model spec.

as_jani_choice_origins(self: stormpy.storage.storage.ChoiceOrigins) → storm::storage::sparse::JaniChoiceOrigins¶

as_prism_choice_origins(self: stormpy.storage.storage.ChoiceOrigins) → storm::storage::sparse::PrismChoiceOrigins¶

get_choice_info(self: stormpy.storage.storage.ChoiceOrigins, identifier: int) → str¶: human readable string

get_identifier_info(self: stormpy.storage.storage.ChoiceOrigins, identifier: int) → str¶: human readable string

get_number_of_identifiers(self: stormpy.storage.storage.ChoiceOrigins) → int¶: the number of considered identifier

is_jani_choice_origins(self: stormpy.storage.storage.ChoiceOrigins) → bool¶

is_prism_choice_origins(self: stormpy.storage.storage.ChoiceOrigins) → bool¶

class ComparisonType¶

Members:

LESS

LEQ

GREATER

GEQ

GEQ = <ComparisonType.GEQ: 3>¶

GREATER = <ComparisonType.GREATER: 2>¶

LEQ = <ComparisonType.LEQ: 1>¶

LESS = <ComparisonType.LESS: 0>¶

property name¶

property value¶

class ConditionalFormula¶: Formula with the right hand side being a condition.

class ConstraintCollector¶

Collector for constraints on parametric Markov chains

property graph_preserving_constraints¶: Get the constraints ensuring the graph is preserved

property wellformed_constraints¶: Get the constraints ensuring a wellformed model

class CumulativeRewardFormula¶: Summed rewards over a the paths

class DdManager_Sylvan¶

get_meta_variable(self: stormpy.storage.storage.DdManager_Sylvan, expression_variable: storm::expressions::Variable) → stormpy.storage.storage.DdMetaVariable_Sylvan¶

class DdMetaVariableType¶

Members:

Int

Bool

Bitvector

Bitvector = <DdMetaVariableType.Bitvector: 2>¶

Bool = <DdMetaVariableType.Bool: 0>¶

Int = <DdMetaVariableType.Int: 1>¶

property name¶

property value¶

class DdMetaVariable_Sylvan¶

compute_indices(self: stormpy.storage.storage.DdMetaVariable_Sylvan, sorted: bool = True) → List[int]¶

property lowest_value¶

property name¶

property type¶

class Dd_Sylvan¶

property dd_manager¶: get the manager

property meta_variables¶: the contained meta variables

property node_count¶: get node count

class DiceStringVisitor¶

Translate expressions to dice

to_string(self: stormpy.storage.storage.DiceStringVisitor, arg0: stormpy.storage.storage.Expression) → str¶

class DirectEncodingOptions¶

property allow_placeholders¶

class DirectEncodingParserOptions¶

Options for the .drn parser

property build_choice_labels¶: Build with choice labels

class DistributionDouble¶: Finite Support Distribution

class EliminationLabelBehavior¶

Behavior of labels while eliminating non-Markovian chains

Members:

KEEP_LABELS

MERGE_LABELS

DELETE_LABELS

DELETE_LABELS = <EliminationLabelBehavior.DELETE_LABELS: 3>¶

KEEP_LABELS = <EliminationLabelBehavior.KEEP_LABELS: 0>¶

MERGE_LABELS = <EliminationLabelBehavior.MERGE_LABELS: 2>¶

property name¶

property value¶

class EndComponentEliminatorReturnTypeDouble¶

Container for result of endcomponent elimination

property matrix¶: The resulting matrix

property new_to_old_row_mapping¶: Index mapping that gives for each row fo the new matrix the corresponding row in the original matrix

property old_to_new_state_mapping¶: For each state of the original matrix (and subsystem) the corresponding state in the result. Removed states are mapped to the EC.

property sink_rows¶: Rows that indicate staying in the EC forever

class Environment¶

property solver_environment¶: solver part of environment

class EquationSolverType¶

Solver type for equation systems

Members:

native

eigen

elimination

gmmxx

topological

eigen = <EquationSolverType.eigen: 2>¶

elimination = <EquationSolverType.elimination: 3>¶

gmmxx = <EquationSolverType.gmmxx: 1>¶

property name¶

native = <EquationSolverType.native: 0>¶

topological = <EquationSolverType.topological: 4>¶

property value¶

class EventuallyFormula¶: Formula for eventually

class ExactCheckTask¶

Task for model checking with exact numbers

set_produce_schedulers(self: stormpy.core.ExactCheckTask, produce_schedulers: bool = True) → None¶: Set whether schedulers should be produced (if possible)

class ExactSparseMatrix¶

Sparse matrix

get_row(self: stormpy.storage.storage.ExactSparseMatrix, row: int) → storm::storage::SparseMatrix<__gmp_expr<__mpq_struct [1], __mpq_struct [1]> >::rows¶: Get row

get_row_group_end(self: stormpy.storage.storage.ExactSparseMatrix, arg0: int) → int¶

get_row_group_start(self: stormpy.storage.storage.ExactSparseMatrix, arg0: int) → int¶

get_rows_for_group(self: stormpy.storage.storage.ExactSparseMatrix, row_group: int) → List[int]¶: Get rows within a row group

property has_trivial_row_grouping¶: Trivial row grouping

make_row_grouping_trivial(self: stormpy.storage.storage.ExactSparseMatrix) → None¶: Makes row groups trivial. Use with care.

property nr_columns¶: Number of columns

property nr_entries¶: Number of non-zero entries

property nr_rows¶: Number of rows

print_row(self: stormpy.storage.storage.ExactSparseMatrix, row: int) → str¶: Print rows from start to end

row_iter(self: stormpy.storage.storage.ExactSparseMatrix, row_start: int, row_end: int) → Iterator¶: Get iterator from start to end

submatrix(self: stormpy.storage.storage.ExactSparseMatrix, row_constraint: stormpy.storage.storage.BitVector, column_constraint: stormpy.storage.storage.BitVector, insert_diagonal_entries: bool = False) → stormpy.storage.storage.ExactSparseMatrix¶: Get submatrix

class ExactSparseMatrixBuilder¶

Builder of sparse matrix

add_next_value(self: stormpy.storage.storage.ExactSparseMatrixBuilder, row: int, column: int, value: pycarl.gmp.gmp.Rational) → None¶

Sets the matrix entry at the given row and column to the given value. After all entries have been added, calling function build() is mandatory.

Note: this is a linear setter. That is, it must be called consecutively for each entry, row by row and column by column. As multiple entries per column are admitted, consecutive calls to this method are admitted to mention the same row-column-pair. If rows are skipped entirely, the corresponding rows are treated as empty. If these constraints are not met, an exception is thrown.

Parameters:

row (double) – The row in which the matrix entry is to be set
column (double) – The column in which the matrix entry is to be set
value (double) – The value that is to be set at the specified row and column

build(self: stormpy.storage.storage.ExactSparseMatrixBuilder, overridden_row_count: int = 0, overridden_column_count: int = 0, overridden-row_group_count: int = 0) → storm::storage::SparseMatrix<__gmp_expr<__mpq_struct [1], __mpq_struct [1]> >¶: Finalize the sparse matrix

get_current_row_group_count(self: stormpy.storage.storage.ExactSparseMatrixBuilder) → int¶: Get the current row group count

get_last_column(self: stormpy.storage.storage.ExactSparseMatrixBuilder) → int¶: the most recently used column

get_last_row(self: stormpy.storage.storage.ExactSparseMatrixBuilder) → int¶: Get the most recently used row

new_row_group(self: stormpy.storage.storage.ExactSparseMatrixBuilder, starting_row: int) → None¶: Start a new row group in the matrix

replace_columns(self: stormpy.storage.storage.ExactSparseMatrixBuilder, replacements: List[int], offset: int) → None¶

Replaces all columns with id >= offset according to replacements. Every state with id offset+i is replaced by the id in replacements[i]. Afterwards the columns are sorted.

Parameters:

replacements (std::vector<double> const&) – replacements Mapping indicating the replacements from offset+i -> value of i
offset (int) – Offset to add to each id in vector index.

class ExactSparseMatrixEntry¶

Entry of sparse matrix

property column¶: Column

set_value(self: stormpy.storage.storage.ExactSparseMatrixEntry, value: pycarl.gmp.gmp.Rational) → None¶: Set value

value(self: stormpy.storage.storage.ExactSparseMatrixEntry) → pycarl.gmp.gmp.Rational¶: Value

class ExactSparseMatrixRows¶: Set of rows in a sparse matrix

class ExplicitExactQuantitativeCheckResult¶

Explicit exact quantitative model checking result

at(self: stormpy.core.ExplicitExactQuantitativeCheckResult, state: int) → pycarl.gmp.gmp.Rational¶: Get result for given state

get_values(self: stormpy.core.ExplicitExactQuantitativeCheckResult) → List[pycarl.gmp.gmp.Rational]¶: Get model checking result values for all states

property scheduler¶: get scheduler

class ExplicitModelBuilder¶

Model builder for sparse models

build(self: stormpy.core.ExplicitModelBuilder) → storm::models::sparse::Model<double, storm::models::sparse::StandardRewardModel<double> >¶: Build the model

export_lookup(self: stormpy.core.ExplicitModelBuilder) → storm::builder::ExplicitStateLookup<unsigned int>¶: Export a lookup model

class ExplicitModelCheckerHintDouble¶

Information that may accelerate an explicit state model checker

set_compute_only_maybe_states(self: stormpy.core.ExplicitModelCheckerHintDouble, arg0: bool) → None¶: value

set_maybe_states(self: stormpy.core.ExplicitModelCheckerHintDouble, arg0: storm::storage::BitVector) → None¶: sets the maybe states. This is assumed to be correct.

set_result_hint(self: stormpy.core.ExplicitModelCheckerHintDouble, result_hint: List[float] | None) → None¶

set_scheduler_hint(self: stormpy.core.ExplicitModelCheckerHintDouble, scheduler_hint: Optional[storm::storage::Scheduler<double>]) → None¶: Set a scheduler that is close to the optimal scheduler

class ExplicitParametricModelBuilder¶

Model builder for sparse models

build(self: stormpy.core.ExplicitParametricModelBuilder) → storm::models::sparse::Model<carl::RationalFunction<carl::FactorizedPolynomial<carl::MultivariatePolynomial<cln::cl_RA, carl::NotRelevant, carl::StdMultivariatePolynomialPolicies<0> > >, true>, storm::models::sparse::StandardRewardModel<carl::RationalFunction<carl::FactorizedPolynomial<carl::MultivariatePolynomial<cln::cl_RA, carl::NotRelevant, carl::StdMultivariatePolynomialPolicies<0> > >, true> > >¶: Build the model

export_lookup(self: stormpy.core.ExplicitParametricModelBuilder) → storm::builder::ExplicitStateLookup<unsigned int>¶: Export a lookup model

class ExplicitParametricQuantitativeCheckResult¶

Explicit parametric quantitative model checking result

at(self: stormpy.core.ExplicitParametricQuantitativeCheckResult, state: int) → pycarl.cln.cln.FactorizedRationalFunction¶: Get result for given state

get_values(self: stormpy.core.ExplicitParametricQuantitativeCheckResult) → List[pycarl.cln.cln.FactorizedRationalFunction]¶: Get model checking result values for all states

property scheduler¶: get scheduler

class ExplicitParetoCurveCheckResultDouble¶: Result for explicit multiobjective model checking

class ExplicitQualitativeCheckResult¶

Explicit qualitative model checking result

at(self: stormpy.core.ExplicitQualitativeCheckResult, state: int) → bool¶: Get result for given state

get_truth_values(self: stormpy.core.ExplicitQualitativeCheckResult) → storm::storage::BitVector¶: Get BitVector representing the truth values

class ExplicitQuantitativeCheckResult¶

Explicit quantitative model checking result

at(self: stormpy.core.ExplicitQuantitativeCheckResult, state: int) → float¶: Get result for given state

get_values(self: stormpy.core.ExplicitQuantitativeCheckResult) → List[float]¶: Get model checking result values for all states

property scheduler¶: get scheduler

class ExplicitStateLookup¶

Lookup model for states

lookup(self: stormpy.core.ExplicitStateLookup, state_description: Dict[storm::expressions::Variable, storm::expressions::Expression]) → object¶

class Expression¶

Holds an expression

static And(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Conjunction(arg0: List[stormpy.storage.storage.Expression]) → stormpy.storage.storage.Expression¶

static Disjunction(arg0: List[stormpy.storage.storage.Expression]) → stormpy.storage.storage.Expression¶

static Divide(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Eq(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Geq(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Greater(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Iff(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Implies(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Leq(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Less(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Minus(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Modulo(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Multiply(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Neq(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Or(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

static Plus(arg0: stormpy.storage.storage.Expression, arg1: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶

property arity¶: The arity of the expression

contains_variable(self: stormpy.storage.storage.Expression, variables: Set[stormpy.storage.storage.Variable]) → bool¶: Check if the expression contains any of the given variables.

contains_variables(self: stormpy.storage.storage.Expression) → bool¶: Check if the expression contains variables.

evaluate_as_bool(self: stormpy.storage.storage.Expression) → bool¶: Get the boolean value this expression evaluates to

evaluate_as_double(self: stormpy.storage.storage.Expression) → float¶: Get the double value this expression evaluates to

evaluate_as_int(self: stormpy.storage.storage.Expression) → int¶: Get the integer value this expression evaluates to

evaluate_as_rational(self: stormpy.storage.storage.Expression) → pycarl.gmp.gmp.Rational¶: Get the rational number this expression evaluates to

get_operand(self: stormpy.storage.storage.Expression, operandIndex: int) → stormpy.storage.storage.Expression¶: Get the operand at the given index

get_variables(self: stormpy.storage.storage.Expression) → Set[stormpy.storage.storage.Variable]¶: Get the variables

has_boolean_type(self: stormpy.storage.storage.Expression) → bool¶: Check if the expression is a boolean

has_integer_type(self: stormpy.storage.storage.Expression) → bool¶: Check if the expression is an integer

has_rational_type(self: stormpy.storage.storage.Expression) → bool¶: Check if the expression is a rational

identifier(self: stormpy.storage.storage.Expression) → str¶: Retrieves the identifier associated with this expression if this expression is a variable

property is_function_application¶: True iff the expression is a function application (of any sort

is_literal(self: stormpy.storage.storage.Expression) → bool¶: Check if the expression is a literal

is_variable(self: stormpy.storage.storage.Expression) → bool¶: Check if the expression is a variable

property manager¶: Get the manager

property operator¶: The operator of the expression (if it is a function application)

simplify(self: stormpy.storage.storage.Expression) → stormpy.storage.storage.Expression¶: Simplify expression

substitute(self: stormpy.storage.storage.Expression, substitution_map: Dict[stormpy.storage.storage.Variable, stormpy.storage.storage.Expression]) → stormpy.storage.storage.Expression¶

property type¶: Get the Type

class ExpressionManager¶

Manages variables for expressions

create_boolean(self: stormpy.storage.storage.ExpressionManager, boolean: bool) → storm::expressions::Expression¶: Create expression from boolean

create_boolean_variable(self: stormpy.storage.storage.ExpressionManager, name: str, auxiliary: bool = False) → storm::expressions::Variable¶: create Boolean variable

create_integer(self: stormpy.storage.storage.ExpressionManager, integer: int) → storm::expressions::Expression¶: Create expression from integer number

create_integer_variable(self: stormpy.storage.storage.ExpressionManager, name: str, auxiliary: bool = False) → storm::expressions::Variable¶: create Integer variable

create_rational(self: stormpy.storage.storage.ExpressionManager, rational: pycarl.gmp.gmp.Rational) → storm::expressions::Expression¶: Create expression from rational number

create_rational_variable(self: stormpy.storage.storage.ExpressionManager, name: str, auxiliary: bool = False) → storm::expressions::Variable¶: create Rational variable

get_variable(self: stormpy.storage.storage.ExpressionManager, name: str) → storm::expressions::Variable¶: get variably by name

get_variables(self: stormpy.storage.storage.ExpressionManager) → Set[storm::expressions::Variable]¶: Retrieves the set of all variables known to this manager.

class ExpressionParser¶

Parser for storm-expressions

parse(self: stormpy.storage.storage.ExpressionParser, string: str, ignore_error: bool = False) → stormpy.storage.storage.Expression¶: parse

set_identifier_mapping(self: stormpy.storage.storage.ExpressionParser, arg0: Dict[str, stormpy.storage.storage.Expression]) → None¶: sets identifiers

class ExpressionType¶

The type of an expression

property is_boolean¶

property is_integer¶

property is_rational¶

class FactorizedPolynomial¶

Represent a polynomial with its factorization

cache(self: pycarl.cln.cln.FactorizedPolynomial) → pycarl.cln.cln._FactorizationCache¶

property coefficient¶

constant_part(self: pycarl.cln.cln.FactorizedPolynomial) → pycarl.cln.cln.Rational¶

derive(self: pycarl.cln.cln.FactorizedPolynomial, variable: pycarl.core.Variable) → pycarl.cln.cln.FactorizedPolynomial¶: Compute the derivative

evaluate(self: pycarl.cln.cln.FactorizedPolynomial, arg0: Dict[pycarl.core.Variable, pycarl.cln.cln.Rational]) → pycarl.cln.cln.Rational¶

factorization(self: pycarl.cln.cln.FactorizedPolynomial) → pycarl.cln.cln.Factorization¶: Get factorization

gather_variables(self: pycarl.cln.cln.FactorizedPolynomial) → Set[pycarl.core.Variable]¶

is_constant(self: pycarl.cln.cln.FactorizedPolynomial) → bool¶

is_one(self: pycarl.cln.cln.FactorizedPolynomial) → bool¶

polynomial(self: pycarl.cln.cln.FactorizedPolynomial) → pycarl.cln.cln.Polynomial¶: Get underlying polynomial

to_smt2(self: pycarl.cln.cln.FactorizedPolynomial) → str¶

class FactorizedRationalFunction¶

Represent a rational function, that is the fraction of two factorized polynomials

constant_part(self: pycarl.cln.cln.FactorizedRationalFunction) → pycarl.cln.cln.Rational¶

property denominator¶

derive(self: pycarl.cln.cln.FactorizedRationalFunction, variable: pycarl.core.Variable) → pycarl.cln.cln.FactorizedRationalFunction¶: Compute the derivative

evaluate(self: pycarl.cln.cln.FactorizedRationalFunction, arg0: Dict[pycarl.core.Variable, pycarl.cln.cln.Rational]) → pycarl.cln.cln.Rational¶

gather_variables(self: pycarl.cln.cln.FactorizedRationalFunction) → Set[pycarl.core.Variable]¶

is_constant(self: pycarl.cln.cln.FactorizedRationalFunction) → bool¶

property numerator¶

rational_function(self: pycarl.cln.cln.FactorizedRationalFunction) → pycarl.cln.cln.RationalFunction¶

to_smt2(self: pycarl.cln.cln.FactorizedRationalFunction) → str¶

class FlatSet¶

Container to pass to program

insert(self: stormpy.core.FlatSet, arg0: int) → None¶

insert_set(self: stormpy.core.FlatSet, arg0: stormpy.core.FlatSet) → None¶

is_subset_of(self: stormpy.core.FlatSet, arg0: stormpy.core.FlatSet) → bool¶

class Formula¶

Generic Storm Formula

clone(self: stormpy.logic.logic.Formula) → stormpy.logic.logic.Formula¶

property is_bounded_until_formula¶

property is_eventually_formula¶

property is_multi_objective_formula¶

property is_probability_operator¶: is it a probability operator

property is_reward_operator¶: is it a reward operator

property is_until_formula¶

substitute(self: stormpy.logic.logic.Formula, constants_map: Dict[stormpy.storage.storage.Variable, stormpy.storage.storage.Expression]) → stormpy.logic.logic.Formula¶: Substitute variables

substitute_labels_by_labels(self: stormpy.logic.logic.Formula, replacements: Dict[str, str]) → stormpy.logic.logic.Formula¶: substitute label occurences

class GloballyFormula¶: Formula for globally

class HybridExactQuantitativeCheckResult¶

Symbolic exact hybrid quantitative model checking result

get_values(self: stormpy.core.HybridExactQuantitativeCheckResult) → List[pycarl.gmp.gmp.Rational]¶: Get model checking result values for all states

class HybridParametricQuantitativeCheckResult¶

Symbolic parametric hybrid quantitative model checking result

get_values(self: stormpy.core.HybridParametricQuantitativeCheckResult) → List[pycarl.cln.cln.FactorizedRationalFunction]¶: Get model checking result values for all states

class HybridQuantitativeCheckResult¶

Hybrid quantitative model checking result

get_values(self: stormpy.core.HybridQuantitativeCheckResult) → List[float]¶: Get model checking result values for all states

class InstantaneousRewardFormula¶: Instantaneous reward

class ItemLabeling¶

Labeling

add_label(self: stormpy.storage.storage.ItemLabeling, label: str) → None¶: Add label

contains_label(self: stormpy.storage.storage.ItemLabeling, label: str) → bool¶: Check if the given label is contained in the labeling

get_labels(self: stormpy.storage.storage.ItemLabeling) → Set[str]¶: Get all labels

class JaniAssignment¶

Jani Assignment

property expression¶

property variable¶: variable that is assigned to, if any

class JaniAutomaton¶

A Jani Automation

add_edge(self: stormpy.storage.storage.JaniAutomaton, edge: storm::jani::Edge) → None¶

add_initial_location(self: stormpy.storage.storage.JaniAutomaton, index: int) → None¶

add_location(self: stormpy.storage.storage.JaniAutomaton, location: storm::jani::Location) → int¶: adds a new location, returns the index

property edges¶: get edges

get_location_index(self: stormpy.storage.storage.JaniAutomaton, name: str) → int¶

property initial_location_indices¶

property initial_states_restriction¶: initial state restriction

property location_variable¶

property locations¶

property name¶

property variables¶

class JaniChoiceOrigins¶

This class represents for each choice the origin in the jani spec.

get_edge_index_set(self: stormpy.storage.storage.JaniChoiceOrigins, choice_index: int) → stormpy.core.FlatSet¶: returns the set of edges that induced the choice

property model¶: retrieves the associated JANI model

class JaniConstant¶

A Constant in JANI

property defined¶: is constant defined by some expression

property expression_variable¶: expression variable for this constant

property name¶: name of constant

property type¶: type of constant

class JaniEdge¶

A Jani Edge

property action_index¶: action index

property color¶: color for the edge

property destinations¶: edge destinations

property guard¶: edge guard

has_silent_action(self: stormpy.storage.storage.JaniEdge) → bool¶: Is the edge labelled with the silent action

property nr_destinations¶: nr edge destinations

property rate¶: edge rate

property source_location_index¶: index for source location

substitute(self: stormpy.storage.storage.JaniEdge, mapping: Dict[storm::expressions::Variable, storm::expressions::Expression]) → None¶

property template_edge¶: template edge

class JaniEdgeDestination¶

Destination in Jani

property assignments¶

property probability¶

property target_location_index¶

class JaniInformationObject¶

An object holding information about a JANI model

property avg_var_domain_size¶

property model_type¶

property nr_automata¶

property nr_edges¶

property nr_variables¶

property state_domain_size¶

class JaniLocation¶

A Location in JANI

property assignments¶: location assignments

property name¶: name of the location

class JaniLocationExpander¶

A transformer for Jani expanding variables into locations

transform(self: stormpy.storage.storage.JaniLocationExpander, automaton_name: str, variable_name: str) → storm::jani::JaniLocationExpander::ReturnType¶

class JaniModel¶

A Jani Model

add_automaton(self: stormpy.storage.storage.JaniModel, automaton: storm::jani::Automaton) → int¶: add an automaton (with a unique name)

add_constant(self: stormpy.storage.storage.JaniModel, constant: storm::jani::Constant) → None¶: adds constant to model

property automata¶: get automata

check_valid(self: stormpy.storage.storage.JaniModel) → None¶: Some basic checks to ensure validity

property constants¶: get constants

static decode_automaton_and_edge_index(arg0: int) → Tuple[int, int]¶: get edge and automaton from edge/automaton index

define_constants(self: stormpy.storage.storage.JaniModel, map: Dict[storm::expressions::Variable, storm::expressions::Expression]) → stormpy.storage.storage.JaniModel¶: define constants with a mapping from the corresponding expression variables to expressions

static encode_automaton_and_edge_index(arg0: int, arg1: int) → int¶: get edge/automaton-index

property expression_manager¶: get expression manager

finalize(self: stormpy.storage.storage.JaniModel) → None¶: finalizes the model. After this action, be careful changing the data structure.

flatten_composition(self: stormpy.storage.storage.JaniModel, smt_solver_factory: stormpy.utility.utility.SmtSolverFactory = <stormpy.utility.utility.SmtSolverFactory object at 0x7fedcecb5170>) → stormpy.storage.storage.JaniModel¶

get_automaton(self: stormpy.storage.storage.JaniModel, name: str) → storm::jani::Automaton¶

get_automaton_index(self: stormpy.storage.storage.JaniModel, name: str) → int¶: get index for automaton name

get_constant(self: stormpy.storage.storage.JaniModel, name: str) → storm::jani::Constant¶: get constant by name

property global_variables¶

has_standard_composition(self: stormpy.storage.storage.JaniModel) → bool¶: is the composition the standard composition

property has_undefined_constants¶: Flag if program has undefined constants

property initial_states_restriction¶: initial states restriction

make_standard_compliant(self: stormpy.storage.storage.JaniModel) → None¶: make standard JANI compliant

property model_type¶: Model type

property name¶: model name

remove_constant(self: stormpy.storage.storage.JaniModel, constant_name: str) → None¶: remove a constant. Make sure the constant does not appear in the model.

replace_automaton(self: stormpy.storage.storage.JaniModel, index: int, new_automaton: storm::jani::Automaton) → None¶: replace automaton at index

restrict_edges(self: stormpy.storage.storage.JaniModel, edge_set: stormpy.core.FlatSet) → stormpy.storage.storage.JaniModel¶: restrict model to edges given by set

set_model_type(self: stormpy.storage.storage.JaniModel, arg0: stormpy.core.JaniModelType) → None¶: Sets (only) the model type

set_standard_system_composition(self: stormpy.storage.storage.JaniModel) → None¶: sets the composition to the standard composition

substitute_constants(self: stormpy.storage.storage.JaniModel) → stormpy.storage.storage.JaniModel¶: substitute constants

substitute_functions(self: stormpy.storage.storage.JaniModel) → None¶: substitute functions

to_dot(self: stormpy.storage.storage.JaniModel) → str¶

property undefined_constants_are_graph_preserving¶: Flag if the undefined constants do not change the graph structure

class JaniModelType¶

Type of the Jani model

Members:

DTMC

CTMC

MDP

CTMDP

MA

LTS

TA

PTA

STA

HA

PHA

SHA

UNDEFINED

CTMC = <JaniModelType.CTMC: 3>¶

CTMDP = <JaniModelType.CTMDP: 5>¶

DTMC = <JaniModelType.DTMC: 2>¶

HA = <JaniModelType.HA: 10>¶

LTS = <JaniModelType.LTS: 1>¶

MA = <JaniModelType.MA: 6>¶

MDP = <JaniModelType.MDP: 4>¶

PHA = <JaniModelType.PHA: 11>¶

PTA = <JaniModelType.PTA: 8>¶

SHA = <JaniModelType.SHA: 12>¶

STA = <JaniModelType.STA: 9>¶

TA = <JaniModelType.TA: 7>¶

UNDEFINED = <JaniModelType.UNDEFINED: 0>¶

property name¶

property value¶

class JaniOrderedAssignments¶

Set of assignments

add(self: stormpy.storage.storage.JaniOrderedAssignments, new_assignment: storm::jani::Assignment, add_to_existing: bool = False) → bool¶

clone(self: stormpy.storage.storage.JaniOrderedAssignments) → stormpy.storage.storage.JaniOrderedAssignments¶: clone assignments (performs a deep copy)

substitute(self: stormpy.storage.storage.JaniOrderedAssignments, substitution_map: Dict[storm::expressions::Variable, storm::expressions::Expression]) → None¶: substitute in rhs according to given substitution map

class JaniScopeChanger¶

A transformer for Jani changing variables from local to global and vice versa

make_variables_local(self: stormpy.storage.storage.JaniScopeChanger, model: stormpy.storage.storage.JaniModel, properties: List[stormpy.core.Property] = []) → stormpy.storage.storage.JaniModel¶

class JaniTemplateEdge¶

Template edge, internal data structure for edges

add_destination(self: stormpy.storage.storage.JaniTemplateEdge, arg0: storm::jani::TemplateEdgeDestination) → None¶

property assignments¶

property destinations¶

property guard¶

class JaniTemplateEdgeDestination¶

Template edge destination, internal data structure for edge destinations

property assignments¶

class JaniVariable¶

A Variable in JANI

property expression_variable¶: expression variable for this variable

property init_expression¶

property name¶: name of constant

class JaniVariableSet¶

Jani Set of Variables

add_variable(self: stormpy.storage.storage.JaniVariableSet, arg0: storm::jani::Variable) → None¶

empty(self: stormpy.storage.storage.JaniVariableSet) → bool¶: is there a variable in the set?

erase_variable(self: stormpy.storage.storage.JaniVariableSet, arg0: storm::expressions::Variable) → storm::jani::Variable¶: variable

get_variable_by_expr_variable(self: stormpy.storage.storage.JaniVariableSet, arg0: storm::expressions::Variable) → storm::jani::Variable¶

get_variable_by_name(self: stormpy.storage.storage.JaniVariableSet, arg0: str) → storm::jani::Variable¶

class LongRunAvarageOperator¶: Long run average operator

class LongRunAverageRewardFormula¶: Long run average reward

class MaximalEndComponent¶

Maximal end component

property size¶: Number of states in MEC

class MaximalEndComponentDecomposition_double¶

Decomposition of maximal end components

property size¶: Number of MECs in the decomposition

class MaximalEndComponentDecomposition_exact¶

Decomposition of maximal end components

property size¶: Number of MECs in the decomposition

class MaximalEndComponentDecomposition_ratfunc¶

Decomposition of maximal end components

property size¶: Number of MECs in the decomposition

class MinMaxMethod¶

Method for min-max equation systems

Members:

policy_iteration

value_iteration

linear_programming

topological

rational_search

interval_iteration

sound_value_iteration

optimistic_value_iteration

topological_cuda

interval_iteration = <MinMaxMethod.interval_iteration: 5>¶

linear_programming = <MinMaxMethod.linear_programming: 2>¶

property name¶

optimistic_value_iteration = <MinMaxMethod.optimistic_value_iteration: 7>¶

policy_iteration = <MinMaxMethod.policy_iteration: 1>¶

rational_search = <MinMaxMethod.rational_search: 4>¶

sound_value_iteration = <MinMaxMethod.sound_value_iteration: 6>¶

topological = <MinMaxMethod.topological: 3>¶

topological_cuda = <MinMaxMethod.topological_cuda: 8>¶

property value¶

value_iteration = <MinMaxMethod.value_iteration: 0>¶

class MinMaxSolverEnvironment¶

Environment for Min-Max-Solvers

property method¶

property precision¶

class ModelCheckerHint¶: Information that may accelerate the model checking process

class ModelFormulasPair¶

Pair of model and formulas

property formulas¶: The formulas

property model¶: The model

class ModelType¶

Type of the model

Members:

DTMC

MDP

POMDP

CTMC

MA

CTMC = <ModelType.CTMC: 1>¶

DTMC = <ModelType.DTMC: 0>¶

MA = <ModelType.MA: 3>¶

MDP = <ModelType.MDP: 2>¶

POMDP = <ModelType.POMDP: 5>¶

property name¶

property value¶

class MultiObjectiveFormula¶

Multi objective formula

property nr_subformulas¶: Get number of subformulas

property subformulas¶: Get vector of subformulas

class NativeLinearEquationSolverMethod¶

Method for linear equation systems with the native solver

Members:

power_iteration

sound_value_iteration

optimistic_value_iteration

interval_iteration

rational_search

jacobi

SOR

gauss_seidel

walker_chae

SOR = <NativeLinearEquationSolverMethod.SOR: 2>¶

gauss_seidel = <NativeLinearEquationSolverMethod.gauss_seidel: 1>¶

interval_iteration = <NativeLinearEquationSolverMethod.interval_iteration: 7>¶

jacobi = <NativeLinearEquationSolverMethod.jacobi: 0>¶

property name¶

optimistic_value_iteration = <NativeLinearEquationSolverMethod.optimistic_value_iteration: 6>¶

power_iteration = <NativeLinearEquationSolverMethod.power_iteration: 4>¶

rational_search = <NativeLinearEquationSolverMethod.rational_search: 8>¶

sound_value_iteration = <NativeLinearEquationSolverMethod.sound_value_iteration: 5>¶

property value¶

walker_chae = <NativeLinearEquationSolverMethod.walker_chae: 3>¶

class NativeSolverEnvironment¶

Environment for Native solvers

property maximum_iterations¶

property method¶

property precision¶

class OperatorFormula¶

Operator formula

property comparison_type¶: Comparison type of bound

property has_bound¶: Flag if formula is bounded

property has_optimality_type¶: Flag if an optimality type is present

property optimality_type¶: Flag for the optimality type

remove_bound(self: stormpy.logic.logic.OperatorFormula) → None¶

remove_optimality_type(self: stormpy.logic.logic.OperatorFormula) → None¶: remove the optimality type

set_bound(self: stormpy.logic.logic.OperatorFormula, comparison_type: stormpy.logic.logic.ComparisonType, bound: stormpy.storage.storage.Expression) → None¶: Set bound

set_optimality_type(self: stormpy.logic.logic.OperatorFormula, new_optimality_type: stormpy.core.OptimizationDirection) → None¶: set the optimality type (use remove optimiality type for clearing)

property threshold¶: Threshold of bound (currently only applicable to rational expressions)

property threshold_expr¶

class OperatorType¶

Type of an operator (of any sort)

Members:

And

Or

Xor

Implies

Iff

Plus

Minus

Times

Divide

Min

Max

Power

Modulo

Equal

NotEqual

Less

LessOrEqual

Greater

GreaterOrEqual

Not

Floor

Ceil

Ite

And = <OperatorType.And: 0>¶

Ceil = <OperatorType.Ceil: 21>¶

Divide = <OperatorType.Divide: 8>¶

Equal = <OperatorType.Equal: 13>¶

Floor = <OperatorType.Floor: 20>¶

Greater = <OperatorType.Greater: 17>¶

GreaterOrEqual = <OperatorType.GreaterOrEqual: 18>¶

Iff = <OperatorType.Iff: 4>¶

Implies = <OperatorType.Implies: 3>¶

Ite = <OperatorType.Ite: 22>¶

Less = <OperatorType.Less: 15>¶

LessOrEqual = <OperatorType.LessOrEqual: 16>¶

Max = <OperatorType.Max: 10>¶

Min = <OperatorType.Min: 9>¶

Minus = <OperatorType.Minus: 6>¶

Modulo = <OperatorType.Modulo: 12>¶

Not = <OperatorType.Not: 19>¶

NotEqual = <OperatorType.NotEqual: 14>¶

Or = <OperatorType.Or: 1>¶

Plus = <OperatorType.Plus: 5>¶

Power = <OperatorType.Power: 11>¶

Times = <OperatorType.Times: 7>¶

Xor = <OperatorType.Xor: 2>¶

property name¶

property value¶

class OptimizationDirection¶

Members:

Minimize

Maximize

Maximize = <OptimizationDirection.Maximize: 1>¶

Minimize = <OptimizationDirection.Minimize: 0>¶

property name¶

property value¶

class OverlappingGuardAnalyser¶

An SMT driven analysis for overlapping guards

has_module_with_inner_action_overlapping_guard(self: stormpy.storage.storage.OverlappingGuardAnalyser) → bool¶

class ParametricCheckTask¶

Task for parametric model checking

set_produce_schedulers(self: stormpy.core.ParametricCheckTask, produce_schedulers: bool = True) → None¶: Set whether schedulers should be produced (if possible)

class ParametricSparseMatrix¶

Sparse matrix

get_row(self: stormpy.storage.storage.ParametricSparseMatrix, row: int) → storm::storage::SparseMatrix<carl::RationalFunction<carl::FactorizedPolynomial<carl::MultivariatePolynomial<cln::cl_RA, carl::NotRelevant, carl::StdMultivariatePolynomialPolicies<0> > >, true> >::rows¶: Get row

get_row_group_end(self: stormpy.storage.storage.ParametricSparseMatrix, arg0: int) → int¶

get_row_group_start(self: stormpy.storage.storage.ParametricSparseMatrix, arg0: int) → int¶

get_rows_for_group(self: stormpy.storage.storage.ParametricSparseMatrix, row_group: int) → List[int]¶: Get rows within a row group

property has_trivial_row_grouping¶: Trivial row grouping

make_row_grouping_trivial(self: stormpy.storage.storage.ParametricSparseMatrix) → None¶: Makes row groups trivial. Use with care.

property nr_columns¶: Number of columns

property nr_entries¶: Number of non-zero entries

property nr_rows¶: Number of rows

print_row(self: stormpy.storage.storage.ParametricSparseMatrix, row: int) → str¶: Print rows from start to end

row_iter(self: stormpy.storage.storage.ParametricSparseMatrix, row_start: int, row_end: int) → Iterator¶: Get iterator from start to end

submatrix(self: stormpy.storage.storage.ParametricSparseMatrix, row_constraint: stormpy.storage.storage.BitVector, column_constraint: stormpy.storage.storage.BitVector, insert_diagonal_entries: bool = False) → stormpy.storage.storage.ParametricSparseMatrix¶: Get submatrix

class ParametricSparseMatrixBuilder¶

Builder of sparse matrix

add_next_value(self: stormpy.storage.storage.ParametricSparseMatrixBuilder, row: int, column: int, value: pycarl.cln.cln.FactorizedRationalFunction) → None¶

Sets the matrix entry at the given row and column to the given value. After all entries have been added, calling function build() is mandatory.

Parameters:

row (double) – The row in which the matrix entry is to be set
column (double) – The column in which the matrix entry is to be set
value (double) – The value that is to be set at the specified row and column

build(self: stormpy.storage.storage.ParametricSparseMatrixBuilder, overridden_row_count: int = 0, overridden_column_count: int = 0, overridden-row_group_count: int = 0) → storm::storage::SparseMatrix<carl::RationalFunction<carl::FactorizedPolynomial<carl::MultivariatePolynomial<cln::cl_RA, carl::NotRelevant, carl::StdMultivariatePolynomialPolicies<0> > >, true> >¶: Finalize the sparse matrix

get_current_row_group_count(self: stormpy.storage.storage.ParametricSparseMatrixBuilder) → int¶: Get the current row group count

get_last_column(self: stormpy.storage.storage.ParametricSparseMatrixBuilder) → int¶: the most recently used column

get_last_row(self: stormpy.storage.storage.ParametricSparseMatrixBuilder) → int¶: Get the most recently used row

new_row_group(self: stormpy.storage.storage.ParametricSparseMatrixBuilder, starting_row: int) → None¶: Start a new row group in the matrix

replace_columns(self: stormpy.storage.storage.ParametricSparseMatrixBuilder, replacements: List[int], offset: int) → None¶

Replaces all columns with id >= offset according to replacements. Every state with id offset+i is replaced by the id in replacements[i]. Afterwards the columns are sorted.

Parameters:

replacements (std::vector<double> const&) – replacements Mapping indicating the replacements from offset+i -> value of i
offset (int) – Offset to add to each id in vector index.

class ParametricSparseMatrixEntry¶

Entry of sparse matrix

property column¶: Column

set_value(self: stormpy.storage.storage.ParametricSparseMatrixEntry, value: pycarl.cln.cln.FactorizedRationalFunction) → None¶: Set value

value(self: stormpy.storage.storage.ParametricSparseMatrixEntry) → pycarl.cln.cln.FactorizedRationalFunction¶: Value

class ParametricSparseMatrixRows¶: Set of rows in a sparse matrix

class ParetoCurveCheckResultDouble¶

Result for multiobjective model checking

get_overapproximation(self: stormpy.core.ParetoCurveCheckResultDouble) → storm::storage::geometry::Polytope<double>¶

get_underapproximation(self: stormpy.core.ParetoCurveCheckResultDouble) → storm::storage::geometry::Polytope<double>¶

class PathFormula¶: Formula about the probability of a set of paths in an automaton

class Polynomial¶

Represent a multivariate polynomial

constant_part(self: pycarl.cln.cln.Polynomial) → pycarl.cln.cln.Rational¶

degree(self: pycarl.cln.cln.Polynomial, arg0: pycarl.core.Variable) → int¶

derive(self: pycarl.cln.cln.Polynomial, variable: pycarl.core.Variable) → pycarl.cln.cln.Polynomial¶: Compute the derivative

evaluate(self: pycarl.cln.cln.Polynomial, arg0: Dict[pycarl.core.Variable, pycarl.cln.cln.Rational]) → pycarl.cln.cln.Rational¶

gather_variables(self: pycarl.cln.cln.Polynomial) → Set[pycarl.core.Variable]¶

is_constant(self: pycarl.cln.cln.Polynomial) → bool¶

property nr_terms¶

substitute(self: pycarl.cln.cln.Polynomial, arg0: Dict[pycarl.core.Variable, pycarl.cln.cln.Polynomial]) → pycarl.cln.cln.Polynomial¶

to_smt2(self: pycarl.cln.cln.Polynomial) → str¶

property total_degree¶

class PolytopeDouble¶

create_downward_closure(self: stormpy.storage.storage.PolytopeDouble) → stormpy.storage.storage.PolytopeDouble¶

get_vertices_clockwise(self: stormpy.storage.storage.PolytopeDouble) → List[List[float]]¶

property vertices¶

class PolytopeExact¶

create_downward_closure(self: stormpy.storage.storage.PolytopeExact) → stormpy.storage.storage.PolytopeExact¶

get_vertices_clockwise(self: stormpy.storage.storage.PolytopeExact) → List[List[pycarl.gmp.gmp.Rational]]¶

property vertices¶

class PrismAssignment¶

An assignment in prism

property expression¶: Expression for the update

property variable¶: Variable that is updated

class PrismBooleanVariable¶: A program boolean variable in a Prism program

class PrismChoiceOrigins¶

This class represents for each choice the set of prism commands that induced the choice.

get_command_set(self: stormpy.storage.storage.PrismChoiceOrigins, choice_index: int) → stormpy.core.FlatSet¶: Returns the set of prism commands that induced the choice

property program¶: retrieves the associated Prism program

class PrismCommand¶

A command in a Prism program

property action_index¶: What is the action index of the command

property action_name¶: Retrieves the action name of this command

property global_index¶: Get global index

property guard_expression¶: Get guard expression

property is_labeled¶: Retrieves whether the command possesses a synchronization label

property labeled¶: Is the command labeled

property updates¶: Updates in the command

class PrismConstant¶

A constant in a Prism program

property defined¶: Is the constant defined?

property definition¶: Defining expression

property expression_variable¶: Expression variable

property name¶: Constant name

property type¶: The type of the constant

class PrismIntegerVariable¶

A program integer variable in a Prism program

property lower_bound_expression¶: The the lower bound expression of this integer variable

property upper_bound_expression¶: The the upper bound expression of this integer variable

class PrismLabel¶

A label in prism

property expression¶

property name¶

class PrismModelType¶

Type of the prism model

Members:

DTMC

CTMC

MDP

CTMDP

MA

POMDP

UNDEFINED

CTMC = <PrismModelType.CTMC: 2>¶

CTMDP = <PrismModelType.CTMDP: 4>¶

DTMC = <PrismModelType.DTMC: 1>¶

MA = <PrismModelType.MA: 5>¶

MDP = <PrismModelType.MDP: 3>¶

POMDP = <PrismModelType.POMDP: 6>¶

UNDEFINED = <PrismModelType.UNDEFINED: 0>¶

property name¶

property value¶

class PrismModule¶

A module in a Prism program

property boolean_variables¶: All boolean Variables of this module

property commands¶: Commands in the module

get_boolean_variable(self: stormpy.storage.storage.PrismModule, variable_name: str) → storm::prism::BooleanVariable¶

get_command_indices_by_action_index(self: stormpy.storage.storage.PrismModule, action_index: int) → Set[int]¶

get_integer_variable(self: stormpy.storage.storage.PrismModule, variable_name: str) → storm::prism::IntegerVariable¶

property integer_variables¶: All integer Variables of this module

property name¶: Name of the module

class PrismProgram¶

A Prism Program

property constants¶: Get Program Constants

define_constants(self: stormpy.storage.storage.PrismProgram, arg0: Dict[storm::expressions::Variable, storm::expressions::Expression]) → stormpy.storage.storage.PrismProgram¶: Define constants

property expression_manager¶: Get the expression manager for expressions in this program

flatten(self: stormpy.storage.storage.PrismProgram, smt_factory: stormpy.utility.utility.SmtSolverFactory = <stormpy.utility.utility.SmtSolverFactory object at 0x7fedced2fb70>) → stormpy.storage.storage.PrismProgram¶: Put program into a single module

get_action_name(self: stormpy.storage.storage.PrismProgram, action_index: int) → str¶: Get the action name for a given action index

get_constant(self: stormpy.storage.storage.PrismProgram, name: str) → storm::prism::Constant¶: Requires that the program has a constant with this name

get_label_expression(self: stormpy.storage.storage.PrismProgram, label: str) → storm::expressions::Expression¶: Get the expression of the given label.

get_module(self: stormpy.storage.storage.PrismProgram, module_name: str) → storm::prism::Module¶

get_module_indices_by_action_index(self: stormpy.storage.storage.PrismProgram, action_index: int) → Set[int]¶: get all modules that have a particular action index

get_synchronizing_action_indices(self: stormpy.storage.storage.PrismProgram) → Set[int]¶: Get the synchronizing action indices

get_undefined_constants(self: stormpy.storage.storage.PrismProgram) → List[storm::prism::Constant]¶: Collect the undefined constants

property global_boolean_variables¶: Retrieves the global boolean variables of the program

property global_integer_variables¶: Retrieves the global integer variables of the program

property hasUndefinedConstants¶: Does the program have undefined constants?

has_constant(self: stormpy.storage.storage.PrismProgram, name: str) → bool¶

has_label(self: stormpy.storage.storage.PrismProgram, name: str) → bool¶

has_reward_model(self: stormpy.storage.storage.PrismProgram, name: str) → bool¶: Is a reward model with the specified name defined?

property has_undefined_constants¶: Flag if program has undefined constants

property is_deterministic_model¶: Does the program describe a deterministic model?

label_unlabelled_commands(self: stormpy.storage.storage.PrismProgram, name_suggestions: Dict[int, str]) → stormpy.storage.storage.PrismProgram¶: Label unlabelled commands

property labels¶: Get all labels in the program

property model_type¶: Model type

property modules¶: Modules in the program

property nr_modules¶: Number of modules

property number_of_unlabeled_commands¶: Gets the number of commands that are not labelled

restrict_commands(self: stormpy.storage.storage.PrismProgram, arg0: stormpy.core.FlatSet) → stormpy.storage.storage.PrismProgram¶: Restrict commands

property reward_models¶: The defined reward models

simplify(self: stormpy.storage.storage.PrismProgram) → stormpy.storage.storage.PrismProgram¶: Simplify

substitute_constants(self: stormpy.storage.storage.PrismProgram) → stormpy.storage.storage.PrismProgram¶: Substitute constants within program

substitute_formulas(self: stormpy.storage.storage.PrismProgram) → stormpy.storage.storage.PrismProgram¶: Substitute formulas within program

substitute_nonstandard_predicates(self: stormpy.storage.storage.PrismProgram) → stormpy.storage.storage.PrismProgram¶: Remove nonstandard predicates from the prism program

to_jani(self: stormpy.storage.storage.PrismProgram, properties: List[stormpy.core.Property], all_variables_global: bool = True, suffix: str = '') → Tuple[storm::jani::Model, List[stormpy.core.Property]]¶: Transform to Jani program

property undefined_constants_are_graph_preserving¶: Flag if the undefined constants do not change the graph structure

used_constants(self: stormpy.storage.storage.PrismProgram) → List[storm::prism::Constant]¶: Compute Used Constants

property variables¶: Get all Expression Variables used by the program

class PrismRewardModel¶

Reward declaration in prism

property name¶: get name of the reward model

class PrismUpdate¶

An update in a Prism command

property assignments¶: Assignments in the update

get_as_variable_to_expression_map(self: stormpy.storage.storage.PrismUpdate) → Dict[storm::expressions::Variable, storm::expressions::Expression]¶: Creates a mapping representation of this update

get_assignment(self: stormpy.storage.storage.PrismUpdate, variable_name: str) → storm::prism::Assignment¶: Retrieves a reference to the assignment for the variable with the given name

property global_index¶: Retrieves the global index of the update, that is, a unique index over all modules

property probability_expression¶: The probability expression for this update

simplify(self: stormpy.storage.storage.PrismUpdate) → stormpy.storage.storage.PrismUpdate¶: Simplifies the update in various ways (also removes identity assignments)

substitute(self: stormpy.storage.storage.PrismUpdate, arg0: Dict[storm::expressions::Variable, storm::expressions::Expression]) → stormpy.storage.storage.PrismUpdate¶: Substitutes all identifiers in the update according to the given map

class PrismVariable¶

A program variable in a Prism program

property expression_variable¶: The expression variable corresponding to the variable

property initial_value_expression¶: The expression represented the initial value of the variable

property name¶: Variable name

class ProbabilityOperator¶: Probability operator

class Property¶

property name¶: Obtain the name of the property

property raw_formula¶: Obtain the formula directly

class QuotientFormat¶

Return format of bisimulation quotient

Members:

SPARSE

DD

DD = <QuotientFormat.DD: 1>¶

SPARSE = <QuotientFormat.SPARSE: 0>¶

property name¶

property value¶

class Rational¶

Class wrapping gmp-rational numbers

property denominator¶

property nominator¶

property numerator¶

class RationalFunction¶

Represent a rational function, that is the fraction of two multivariate polynomials

constant_part(self: pycarl.cln.cln.RationalFunction) → pycarl.cln.cln.Rational¶

property denominator¶

derive(self: pycarl.cln.cln.RationalFunction, variable: pycarl.core.Variable) → pycarl.cln.cln.RationalFunction¶: Compute the derivative

evaluate(self: pycarl.cln.cln.RationalFunction, arg0: Dict[pycarl.core.Variable, pycarl.cln.cln.Rational]) → pycarl.cln.cln.Rational¶

gather_variables(self: pycarl.cln.cln.RationalFunction) → Set[pycarl.core.Variable]¶

is_constant(self: pycarl.cln.cln.RationalFunction) → bool¶

property nominator¶

property numerator¶

to_smt2(self: pycarl.cln.cln.RationalFunction) → str¶

RationalRF¶: alias of Rational

class RewardOperator¶

Reward operator

has_reward_name(self: stormpy.logic.logic.RewardOperator) → bool¶

property reward_name¶

class SMTCounterExampleGenerator¶

Highlevel Counterexample Generator with SMT as backend

static build(env: stormpy.core.Environment, stats: stormpy.core.SMTCounterExampleGeneratorStats, symbolic_model: storm::storage::SymbolicModelDescription, model: storm::models::sparse::Model<double, storm::models::sparse::StandardRewardModel<double> >, cex_input: storm::counterexamples::SMTMinimalLabelSetGenerator<double>::CexInput, dontcare: stormpy.core.FlatSet, options: stormpy.core.SMTCounterExampleGeneratorOptions) → List[stormpy.core.FlatSet]¶: Compute counterexample

static precompute(env: stormpy.core.Environment, symbolic_model: storm::storage::SymbolicModelDescription, model: storm::models::sparse::Model<double, storm::models::sparse::StandardRewardModel<double> >, formula: storm::logic::Formula) → storm::counterexamples::SMTMinimalLabelSetGenerator<double>::CexInput¶: Precompute input for counterexample generation

class SMTCounterExampleGeneratorOptions¶

Options for highlevel counterexample generation

property add_backward_implication_cuts¶

property check_threshold_feasible¶

property continue_after_first_counterexample¶

property encode_reachability¶

property maximum_counterexamples¶

property maximum_iterations_after_counterexample¶

property silent¶

property use_dynamic_constraints¶

class SMTCounterExampleGeneratorStats¶

Stats for highlevel counterexample generation

property analysis_time¶

property cut_time¶

property iterations¶

property model_checking_time¶

property setup_time¶

property solver_time¶

class SMTCounterExampleInput¶

Precomputed input for counterexample generation

add_reward_and_threshold(self: stormpy.core.SMTCounterExampleInput, reward_name: str, threshold: float) → None¶: add another reward structure and threshold

class SchedulerChoiceDouble¶

A choice of a finite memory scheduler

property defined¶: Is the choice defined by the scheduler?

property deterministic¶: Is the choice deterministic (given by a Dirac distribution)?

get_choice(self: stormpy.storage.storage.SchedulerChoiceDouble) → storm::storage::Distribution<double, unsigned long>¶: Get the distribution over the actions

get_deterministic_choice(self: stormpy.storage.storage.SchedulerChoiceDouble) → int¶: Get the deterministic choice

class SchedulerChoiceExact¶

A choice of a finite memory scheduler

property defined¶: Is the choice defined by the scheduler?

property deterministic¶: Is the choice deterministic (given by a Dirac distribution)?

get_choice(self: stormpy.storage.storage.SchedulerChoiceExact) → storm::storage::Distribution<__gmp_expr<__mpq_struct [1], __mpq_struct [1]>, unsigned long>¶: Get the distribution over the actions

get_deterministic_choice(self: stormpy.storage.storage.SchedulerChoiceExact) → int¶: Get the deterministic choice

class SchedulerChoiceParametric¶

A choice of a finite memory scheduler

property defined¶: Is the choice defined by the scheduler?

property deterministic¶: Is the choice deterministic (given by a Dirac distribution)?

get_choice(self: stormpy.storage.storage.SchedulerChoiceParametric) → storm::storage::Distribution<carl::RationalFunction<carl::FactorizedPolynomial<carl::MultivariatePolynomial<cln::cl_RA, carl::NotRelevant, carl::StdMultivariatePolynomialPolicies<0> > >, true>, unsigned long>¶: Get the distribution over the actions

get_deterministic_choice(self: stormpy.storage.storage.SchedulerChoiceParametric) → int¶: Get the deterministic choice

class SchedulerDouble¶

A Finite Memory Scheduler

cast_to_double_datatype(self: stormpy.storage.storage.SchedulerDouble) → stormpy.storage.storage.SchedulerDouble¶: Construct the scheduler with double value type

cast_to_exact_datatype(self: stormpy.storage.storage.SchedulerDouble) → storm::storage::Scheduler<__gmp_expr<__mpq_struct [1], __mpq_struct [1]> >¶: Construct the scheduler with exact value type

cast_to_parametric_datatype(self: stormpy.storage.storage.SchedulerDouble) → storm::storage::Scheduler<carl::RationalFunction<carl::FactorizedPolynomial<carl::MultivariatePolynomial<cln::cl_RA, carl::NotRelevant, carl::StdMultivariatePolynomialPolicies<0> > >, true> >¶: Construct the scheduler with parametric value type

compute_action_support(self: stormpy.storage.storage.SchedulerDouble, nondeterministic_choice_indices: List[int]) → stormpy.storage.storage.BitVector¶

property deterministic¶: Is the scheduler deterministic?

get_choice(self: stormpy.storage.storage.SchedulerDouble, state_index: int, memory_index: int = 0) → storm::storage::SchedulerChoice<double>¶

property memory_size¶: How much memory does the scheduler take?

property memoryless¶: Is the scheduler memoryless?

property partial¶: Is the scheduler partial?

to_json_str(self: stormpy.storage.storage.SchedulerDouble, model: stormpy.storage.storage._SparseModel, skip_unique_choices: bool =