Exemple #1
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 def systemCall(self, args, instruction_decoded, **named_args):
     """args:list -> True"""
     self.log.buffer('systemCall called', level.FINER)
     system_call = SystemCall()
     try:
         if args[0][:3] == 'DIR':
             a = int(args[0][3:], 16)
             result = a
     except:
         a = args[0]
         result = self._register.get_value(a)
     self.log.buffer('args 0:{0}'.format(a), level.FINEST)
     system_call.service(result)
     return True
Exemple #2
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    def __init__(self, pipeline, flags, **objects):
        # These are the objects which provide data for calculations.
        self._memory    = objects['memory'].get_memory()
        self._registers = objects['registers'].get_registers()
        self._api       = objects['api'].get_api_reference(self)
        self._isa       = objects['instructions']

        # System provides Signals
        self.system_call = SystemCall()

        # This data is used in calculations.
        self._size       = self._isa.getSize()
        self._pc         = self._registers.get_pc()
        self._word_space = self._memory.get_word_spacing()

        # Pipeline is a stack for storing instructions and data relating
        # to them.
        self._pipeline        = []
        self._pipeline_stages = pipeline
        self._pipeline_flags  = flags

        # Special flags control some aspects of the processor's behaviour.
        self.__special_flags = {}

        # These fields store data for the dubugger.
        self._breakpoints = []
        self._debug       = False

        # This is a list of observers.
        self.listeners = []
Exemple #3
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class Pipelined(BaseProcessor):
    """Pipelined CPU Implementation"""

    def __init__(self, pipeline, flags, **objects):
        # These are the objects which provide data for calculations.
        self._memory    = objects['memory'].get_memory()
        self._registers = objects['registers'].get_registers()
        self._api       = objects['api'].get_api_reference(self)
        self._isa       = objects['instructions']

        # System provides Signals
        self.system_call = SystemCall()

        # This data is used in calculations.
        self._size       = self._isa.getSize()
        self._pc         = self._registers.get_pc()
        self._word_space = self._memory.get_word_spacing()

        # Pipeline is a stack for storing instructions and data relating
        # to them.
        self._pipeline        = []
        self._pipeline_stages = pipeline
        self._pipeline_flags  = flags

        # Special flags control some aspects of the processor's behaviour.
        self.__special_flags = {}

        # These fields store data for the dubugger.
        self._breakpoints = []
        self._debug       = False

        # This is a list of observers.
        self.listeners = []

    def cycle(self):

        self._log.buffer(self, 'beginning a cycle', level.FINER)

        # Denotes that incrementation has taken place this cycle.
        # This is initially false.
        self.__special_flags['increment'] = False

        try:
            for stage in self._pipeline_stages:
                self._log.buffer(self, 'entering {0} stage'.format(stage),
                                 level.FINEST)

                # A little string transformation to help avoid accidents.
                stagecall = '_' + stage + '_coordinator'

                try:
                # Dispatch to one of the instance's methods.
                    call = getattr(self, stagecall)
                    call(self._pipeline_stages.index(stage))
                except AttributeError, e:
                    self._log.buffer(self, 'no such pipeline stage: {:}'
                                     .format(stage), level.ERROR)
                    raise e
                except ArithmeticError:
                    self.system_call.service(16435935)
                except RegisterReferenceException:
                    self.system_call.service(16435936)
                except IndexError, e:
                # Routine, particularly for first cycles.
                    self._log.buffer(self, '{0} found nothing in the pipeline'
                                     .format(stage), level.FINEST)
                self._log.buffer(self, 'leaving {0} stage'.format(stage),
                                 level.FINEST)