Python StateMachine.clone方法代碼示例

# 需要導入模塊: from quex.engine.state_machine.core import StateMachine [as 別名]
# 或者: from quex.engine.state_machine.core.StateMachine import clone [as 別名]
def do(SM):
    """Creates a state machine that matches the reverse of what 'SM' matches.
    """
    result                               = StateMachine(InitStateIndex=SM.init_state_index)
    original_acceptance_state_index_list = SM.get_acceptance_state_index_list()

    if len(original_acceptance_state_index_list) == 0:
        # If there is no acceptance state in a state machine, the state machine
        # cannot match any pattern, it is equivalent to '\None'. The reverse
        # of \None is \None.
        return special.get_none()
       
    # Ensure that each target state index has a state inside the state machine
    for state_index in SM.states.keys():
        result.create_new_state(StateIdx=state_index)

    for state_index, state in SM.states.items():
        for target_state_index, trigger_set in state.target_map.get_map().items():
            result.states[target_state_index].add_transition(trigger_set.clone(), state_index)

        for target_state_index in state.target_map.get_epsilon_target_state_index_list():
            result.states[target_state_index].target_map.add_epsilon_target_state(state_index)

    # -- copy all origins of the original state machine
    # -- We need to cancel any acceptance, because the inverted engine now starts
    #    from a combination of the acceptance states and ends at the initial state.
    for state_index, state in SM.states.items():
        original_origin_list = [origin.clone() for origin in state.origins()]
        for origin in original_origin_list:
            origin.set_input_position_restore_f(False)
            origin.set_pre_context_id(E_PreContextIDs.NONE)
            origin.set_acceptance_f(False)
        result.states[state_index].origins().set(original_origin_list) # deepcopy implicit

    # -- only the ORIGINAL initial state becomes an acceptance state (end of inverse)
    result.states[SM.init_state_index].set_acceptance(True)

    # -- setup an epsilon transition from an new init state to all previous 
    #    acceptance states.
    new_init_state_index = result.create_new_init_state() 
    for state_index in original_acceptance_state_index_list:
        result.add_epsilon_transition(new_init_state_index, state_index)        

    # -- for uniqueness of state ids, clone the result
    return result.clone()    

# 需要導入模塊: from quex.engine.state_machine.core import StateMachine [as 別名]
# 或者: from quex.engine.state_machine.core.StateMachine import clone [as 別名]

#.........這裏部分代碼省略.........
    assert not the_state_machine.is_empty(), \
           "empty state machine can have no post context."
    assert post_context_sm is None or not post_context_sm.is_empty(), \
           "empty state machine cannot be a post-context."

    # State machines involved with post condition building are part of a pattern, 
    # but not configured out of multiple patterns. Thus there should be no origins.
    assert the_state_machine.has_origins() == False
    assert post_context_sm is None or not post_context_sm.has_origins()
    for state in the_state_machine.get_acceptance_state_list():
        for origin in state.origins(): 
            assert origin.pre_context_id() == E_PreContextIDs.NONE, \
                   "Post Contexts MUST be mounted BEFORE pre-contexts."

    if post_context_sm is None:
        if not EndOfLinePostContextF:
            return the_state_machine, None
        # Generate a new post context that just contains the 'newline'
        post_context_sm = StateMachine(AcceptanceF=True)
        post_context_sm.mount_newline_to_acceptance_states(Setup.dos_carriage_return_newline_f)

    elif EndOfLinePostContextF: 
        # Mount 'newline' to existing post context
        post_context_sm.mount_newline_to_acceptance_states(Setup.dos_carriage_return_newline_f)

    # A post context with an initial state that is acceptance is not really a
    # 'context' since it accepts anything. The state machine remains un-post context.
    if post_context_sm.get_init_state().is_acceptance():
        error_msg("Post context accepts anything---replaced by no post context.", fh, 
                  DontExitF=True)
        return the_state_machine, None
    
    # (*) Two ways of handling post-contexts:
    #
    #     -- Seldom Exception: 
    #        Pseudo-Ambiguous Post Conditions (x+/x) -- detecting the end of the 
    #        core pattern after the end of the post context
    #        has been reached.
    #
    if ambiguous_post_context.detect_forward(the_state_machine, post_context_sm):
        if ambiguous_post_context.detect_backward(the_state_machine, post_context_sm):
            # -- for post contexts that are forward and backward ambiguous
            #    a philosophical cut is necessary.
            error_msg("Post context requires philosophical cut--handle with care!\n"
                      "Proposal: Isolate pattern and ensure results are as expected!", fh, 
                      DontExitF=True)
            post_context_sm = ambiguous_post_context.philosophical_cut(the_state_machine, post_context_sm)
        
        # NOTE: May be, the_state_machine does contain now an epsilon transition. See
        #       comment at entry of this function.
        ipsb_sm = ambiguous_post_context.mount(the_state_machine, post_context_sm)
        the_state_machine = beautifier.do(the_state_machine)
        ipsb_sm           = beautifier.do(ipsb_sm)
        return the_state_machine, ipsb_sm 

    # -- The 'normal' way: storing the input position at the end of the core
    #    pattern.
    #
    # (*) Need to clone the state machines, i.e. provide their internal
    #     states with new ids, but the 'behavior' remains. This allows
    #     state machines to appear twice, or being used in 'larger'
    #     conglomerates.
    post_clone = post_context_sm.clone() 

    # -- Once an acceptance state is reached no further analysis is necessary.
    ## NO: acceptance_pruning.do(post_clone)
    ## BECAUSE: it may have to compete with a pseudo-ambiguous post context

    # (*) collect all transitions from both state machines into a single one
    #
    #     NOTE: The start index is unique. Therefore, one can assume that each
    #           clone_list '.states' dictionary has different keys. One can simply
    #           take over all transitions of a start index into the result without
    #           considering interferences (see below)
    #
    orig_acceptance_state_id_list = the_state_machine.get_acceptance_state_index_list()

    # -- mount on every acceptance state the initial state of the following state
    #    machine via epsilon transition
    the_state_machine.mount_to_acceptance_states(post_clone.init_state_index, 
                                                 CancelStartAcceptanceStateF=True)
    for start_state_index, state in post_clone.states.iteritems():        
        the_state_machine.states[start_state_index] = state # states are already cloned

    # -- raise at each old acceptance state the 'store input position flag'
    # -- set the post context flag for all acceptance states
    for state_idx in orig_acceptance_state_id_list:
        state = the_state_machine.states[state_idx]
        state.set_input_position_store_f(True)
    
    # -- no acceptance state shall store the input position
    # -- set the post context flag for all acceptance states
    for state in the_state_machine.get_acceptance_state_list():
        state.set_input_position_store_f(False)
        state.set_input_position_restore_f(True)

    # No input position backward search required
    the_state_machine = nfa_to_dfa.do(the_state_machine)
    hopcroft.do(the_state_machine, CreateNewStateMachineF=False)
    return the_state_machine, None