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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _move(self, feature, randomLocation = False, useNoise = True):
 """ Move the sensor to the center of the specified feature. If the sensor is currently at another location, send the displacement into the cortical column so that it can perform path integration. """


    if randomLocation:
      locationOnObject = {
        "top": feature["top"] + np.random.rand()*feature["height"],
        "left": feature["left"] + np.random.rand()*feature["width"],
      }
    else:
      locationOnObject = {
        "top": feature["top"] + feature["height"]/2.,
        "left": feature["left"] + feature["width"]/2.
      }

    if self.locationOnObject is not None:
      displacement = {"top": locationOnObject["top"] -
                             self.locationOnObject["top"],
                      "left": locationOnObject["left"] -
                              self.locationOnObject["left"]}
      if useNoise:
        params = self.column.movementCompute(displacement,
                                             self.noiseFactor,
                                             self.moduleNoiseFactor)
      else:
        params = self.column.movementCompute(displacement, 0, 0)

      for monitor in self.monitors.values():
        monitor.afterLocationShift(**params)
    else:
      for monitor in self.monitors.values():
        monitor.afterLocationInitialize()

    self.locationOnObject = locationOnObject
    for monitor in self.monitors.values():
      monitor.afterLocationChanged(locationOnObject)