src/nupic/regions/sp_region.py
def getBaseSpec(cls):
    """
    Doesn't include the spatial, temporal and other parameters

    :returns: (dict) The base Spec for SPRegion.
    """
    spec = dict(
      description=SPRegion.__doc__,
      singleNodeOnly=True,
      inputs=dict(
        bottomUpIn=dict(
          description="""The input vector.""",
          dataType='Real32',
          count=0,
          required=True,
          regionLevel=False,
          isDefaultInput=True,
          requireSplitterMap=False),

        resetIn=dict(
          description="""A boolean flag that indicates whether
                         or not the input vector received in this compute cycle
                         represents the start of a new temporal sequence.""",
          dataType='Real32',
          count=1,
          required=False,
          regionLevel=True,
          isDefaultInput=False,
          requireSplitterMap=False),

        topDownIn=dict(
          description="""The top-down input signal, generated from
                        feedback from upper levels""",
          dataType='Real32',
          count=0,
          required = False,
          regionLevel=True,
          isDefaultInput=False,
          requireSplitterMap=False),

        sequenceIdIn=dict(
          description="Sequence ID",
          dataType='UInt64',
          count=1,
          required=False,
          regionLevel=True,
          isDefaultInput=False,
          requireSplitterMap=False),

      ),
      outputs=dict(
        bottomUpOut=dict(
          description="""The output signal generated from the bottom-up inputs
                          from lower levels.""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=True),

        topDownOut=dict(
          description="""The top-down output signal, generated from
                        feedback from upper levels""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=False),

        spatialTopDownOut = dict(
          description="""The top-down output, generated only from the current
                         SP output. This can be used to evaluate how well the
                         SP is representing the inputs independent of the TM.""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=False),

        temporalTopDownOut = dict(
          description="""The top-down output, generated only from the current
                         TM output feedback down through the SP.""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=False),

        anomalyScore = dict(
          description="""The score for how 'anomalous' (i.e. rare) this spatial
                        input pattern is. Higher values are increasingly rare""",
          dataType='Real32',
          count=1,
          regionLevel=True,
          isDefaultOutput=False),
      ),

      parameters=dict(
        breakPdb=dict(
          description='Set to 1 to stop in the pdb debugger on the next compute',
          dataType='UInt32',
          count=1,
          constraints='bool',
          defaultValue=0,
          accessMode='ReadWrite'),

        breakKomodo=dict(
          description='Set to 1 to stop in the Komodo debugger on the next compute',
          dataType='UInt32',
          count=1,
          constraints='bool',
          defaultValue=0,
          accessMode='ReadWrite'),

      ),
    )

    return spec
def getBaseSpec(cls):
    """
    Doesn't include the spatial, temporal and other parameters

    :returns: (dict) The base Spec for SPRegion.
    """
    spec = dict(
      description=SPRegion.__doc__,
      singleNodeOnly=True,
      inputs=dict(
        bottomUpIn=dict(
          description="""The input vector.""",
          dataType='Real32',
          count=0,
          required=True,
          regionLevel=False,
          isDefaultInput=True,
          requireSplitterMap=False),

        resetIn=dict(
          description="""A boolean flag that indicates whether
                         or not the input vector received in this compute cycle
                         represents the start of a new temporal sequence.""",
          dataType='Real32',
          count=1,
          required=False,
          regionLevel=True,
          isDefaultInput=False,
          requireSplitterMap=False),

        topDownIn=dict(
          description="""The top-down input signal, generated from
                        feedback from upper levels""",
          dataType='Real32',
          count=0,
          required = False,
          regionLevel=True,
          isDefaultInput=False,
          requireSplitterMap=False),

        sequenceIdIn=dict(
          description="Sequence ID",
          dataType='UInt64',
          count=1,
          required=False,
          regionLevel=True,
          isDefaultInput=False,
          requireSplitterMap=False),

      ),
      outputs=dict(
        bottomUpOut=dict(
          description="""The output signal generated from the bottom-up inputs
                          from lower levels.""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=True),

        topDownOut=dict(
          description="""The top-down output signal, generated from
                        feedback from upper levels""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=False),

        spatialTopDownOut = dict(
          description="""The top-down output, generated only from the current
                         SP output. This can be used to evaluate how well the
                         SP is representing the inputs independent of the TM.""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=False),

        temporalTopDownOut = dict(
          description="""The top-down output, generated only from the current
                         TM output feedback down through the SP.""",
          dataType='Real32',
          count=0,
          regionLevel=True,
          isDefaultOutput=False),

        anomalyScore = dict(
          description="""The score for how 'anomalous' (i.e. rare) this spatial
                        input pattern is. Higher values are increasingly rare""",
          dataType='Real32',
          count=1,
          regionLevel=True,
          isDefaultOutput=False),
      ),

      parameters=dict(
        breakPdb=dict(
          description='Set to 1 to stop in the pdb debugger on the next compute',
          dataType='UInt32',
          count=1,
          constraints='bool',
          defaultValue=0,
          accessMode='ReadWrite'),

        breakKomodo=dict(
          description='Set to 1 to stop in the Komodo debugger on the next compute',
          dataType='UInt32',
          count=1,
          constraints='bool',
          defaultValue=0,
          accessMode='ReadWrite'),

      ),
    )

    return spec
def getBaseSpec ( cls ) : spec = dict ( description = SPRegion . __doc__ , singleNodeOnly = True , inputs = dict ( bottomUpIn = dict ( description = """The input vector.""" , dataType = 'Real32' , count = 0 , required = True , regionLevel = False , isDefaultInput = True , requireSplitterMap = False ) , resetIn = dict ( description = """A boolean flag that indicates whether
                         or not the input vector received in this compute cycle
                         represents the start of a new temporal sequence.""" , dataType = 'Real32' , count = 1 , required = False , regionLevel = True , isDefaultInput = False , requireSplitterMap = False ) , topDownIn = dict ( description = """The top-down input signal, generated from
                        feedback from upper levels""" , dataType = 'Real32' , count = 0 , required = False , regionLevel = True , isDefaultInput = False , requireSplitterMap = False ) , sequenceIdIn = dict ( description = "Sequence ID" , dataType = 'UInt64' , count = 1 , required = False , regionLevel = True , isDefaultInput = False , requireSplitterMap = False ) , ) , outputs = dict ( bottomUpOut = dict ( description = """The output signal generated from the bottom-up inputs
                          from lower levels.""" , dataType = 'Real32' , count = 0 , regionLevel = True , isDefaultOutput = True ) , topDownOut = dict ( description = """The top-down output signal, generated from
                        feedback from upper levels""" , dataType = 'Real32' , count = 0 , regionLevel = True , isDefaultOutput = False ) , spatialTopDownOut = dict ( description = """The top-down output, generated only from the current
                         SP output. This can be used to evaluate how well the
                         SP is representing the inputs independent of the TM.""" , dataType = 'Real32' , count = 0 , regionLevel = True , isDefaultOutput = False ) , temporalTopDownOut = dict ( description = """The top-down output, generated only from the current
                         TM output feedback down through the SP.""" , dataType = 'Real32' , count = 0 , regionLevel = True , isDefaultOutput = False ) , anomalyScore = dict ( description = """The score for how 'anomalous' (i.e. rare) this spatial
                        input pattern is. Higher values are increasingly rare""" , dataType = 'Real32' , count = 1 , regionLevel = True , isDefaultOutput = False ) , ) , parameters = dict ( breakPdb = dict ( description = 'Set to 1 to stop in the pdb debugger on the next compute' , dataType = 'UInt32' , count = 1 , constraints = 'bool' , defaultValue = 0 , accessMode = 'ReadWrite' ) , breakKomodo = dict ( description = 'Set to 1 to stop in the Komodo debugger on the next compute' , dataType = 'UInt32' , count = 1 , constraints = 'bool' , defaultValue = 0 , accessMode = 'ReadWrite' ) , ) , ) return spec
Doesn't include the spatial, temporal and other parameters

    :returns: (dict) The base Spec for SPRegion.
Doesn t include the spatial temporal and other parameters