src/nupic/algorithms/fdrutilities.py
def getCentreAndSpreadOffsets(spaceShape,
                              spreadShape,
                              stepSize=1):
  """
  Generates centre offsets and spread offsets for block-mode based training
  regimes - star, cross, block.

    Parameters:
    -----------------------------------------------
    spaceShape:   The (height, width) of the 2-D space to explore. This
                  sets the number of center-points.
    spreadShape:  The shape (height, width) of the area around each center-point
                  to explore.
    stepSize:     The step size. How big each step is, in pixels. This controls
                  *both* the spacing of the center-points within the block and the
                  points we explore around each center-point
    retval:       (centreOffsets, spreadOffsets)
  """


  from nupic.math.cross import cross
  # =====================================================================
  # Init data structures
  # What is the range on the X and Y offsets of the center points?
  shape = spaceShape
  # If the shape is (1,1), special case of just 1 center point
  if shape[0] == 1 and shape[1] == 1:
    centerOffsets = [(0,0)]
  else:
    xMin = -1 * (shape[1] // 2)
    xMax = xMin + shape[1] - 1
    xPositions = range(stepSize * xMin, stepSize * xMax + 1, stepSize)

    yMin = -1 * (shape[0] // 2)
    yMax = yMin + shape[0] - 1
    yPositions = range(stepSize * yMin, stepSize * yMax + 1, stepSize)

    centerOffsets = list(cross(yPositions, xPositions))

  numCenterOffsets = len(centerOffsets)
  print "centerOffsets:", centerOffsets

  # What is the range on the X and Y offsets of the spread points?
  shape = spreadShape
  # If the shape is (1,1), special case of no spreading around each center
  #  point
  if shape[0] == 1 and shape[1] == 1:
    spreadOffsets = [(0,0)]
  else:
    xMin = -1 * (shape[1] // 2)
    xMax = xMin + shape[1] - 1
    xPositions = range(stepSize * xMin, stepSize * xMax + 1, stepSize)

    yMin = -1 * (shape[0] // 2)
    yMax = yMin + shape[0] - 1
    yPositions = range(stepSize * yMin, stepSize * yMax + 1, stepSize)

    spreadOffsets = list(cross(yPositions, xPositions))

    # Put the (0,0) entry first
    spreadOffsets.remove((0,0))
    spreadOffsets.insert(0, (0,0))

  numSpreadOffsets = len(spreadOffsets)
  print "spreadOffsets:", spreadOffsets

  return centerOffsets, spreadOffsets
def getCentreAndSpreadOffsets(spaceShape,
                              spreadShape,
                              stepSize=1):
  """
  Generates centre offsets and spread offsets for block-mode based training
  regimes - star, cross, block.

    Parameters:
    -----------------------------------------------
    spaceShape:   The (height, width) of the 2-D space to explore. This
                  sets the number of center-points.
    spreadShape:  The shape (height, width) of the area around each center-point
                  to explore.
    stepSize:     The step size. How big each step is, in pixels. This controls
                  *both* the spacing of the center-points within the block and the
                  points we explore around each center-point
    retval:       (centreOffsets, spreadOffsets)
  """


  from nupic.math.cross import cross
  # =====================================================================
  # Init data structures
  # What is the range on the X and Y offsets of the center points?
  shape = spaceShape
  # If the shape is (1,1), special case of just 1 center point
  if shape[0] == 1 and shape[1] == 1:
    centerOffsets = [(0,0)]
  else:
    xMin = -1 * (shape[1] // 2)
    xMax = xMin + shape[1] - 1
    xPositions = range(stepSize * xMin, stepSize * xMax + 1, stepSize)

    yMin = -1 * (shape[0] // 2)
    yMax = yMin + shape[0] - 1
    yPositions = range(stepSize * yMin, stepSize * yMax + 1, stepSize)

    centerOffsets = list(cross(yPositions, xPositions))

  numCenterOffsets = len(centerOffsets)
  print "centerOffsets:", centerOffsets

  # What is the range on the X and Y offsets of the spread points?
  shape = spreadShape
  # If the shape is (1,1), special case of no spreading around each center
  #  point
  if shape[0] == 1 and shape[1] == 1:
    spreadOffsets = [(0,0)]
  else:
    xMin = -1 * (shape[1] // 2)
    xMax = xMin + shape[1] - 1
    xPositions = range(stepSize * xMin, stepSize * xMax + 1, stepSize)

    yMin = -1 * (shape[0] // 2)
    yMax = yMin + shape[0] - 1
    yPositions = range(stepSize * yMin, stepSize * yMax + 1, stepSize)

    spreadOffsets = list(cross(yPositions, xPositions))

    # Put the (0,0) entry first
    spreadOffsets.remove((0,0))
    spreadOffsets.insert(0, (0,0))

  numSpreadOffsets = len(spreadOffsets)
  print "spreadOffsets:", spreadOffsets

  return centerOffsets, spreadOffsets
def getCentreAndSpreadOffsets ( spaceShape , spreadShape , stepSize = 1 ) : from nupic . math . cross import cross # ===================================================================== # Init data structures # What is the range on the X and Y offsets of the center points? shape = spaceShape # If the shape is (1,1), special case of just 1 center point if shape [ 0 ] == 1 and shape [ 1 ] == 1 : centerOffsets = [ ( 0 , 0 ) ] else : xMin = - 1 * ( shape [ 1 ] // 2 ) xMax = xMin + shape [ 1 ] - 1 xPositions = range ( stepSize * xMin , stepSize * xMax + 1 , stepSize ) yMin = - 1 * ( shape [ 0 ] // 2 ) yMax = yMin + shape [ 0 ] - 1 yPositions = range ( stepSize * yMin , stepSize * yMax + 1 , stepSize ) centerOffsets = list ( cross ( yPositions , xPositions ) ) numCenterOffsets = len ( centerOffsets ) print "centerOffsets:" , centerOffsets # What is the range on the X and Y offsets of the spread points? shape = spreadShape # If the shape is (1,1), special case of no spreading around each center #  point if shape [ 0 ] == 1 and shape [ 1 ] == 1 : spreadOffsets = [ ( 0 , 0 ) ] else : xMin = - 1 * ( shape [ 1 ] // 2 ) xMax = xMin + shape [ 1 ] - 1 xPositions = range ( stepSize * xMin , stepSize * xMax + 1 , stepSize ) yMin = - 1 * ( shape [ 0 ] // 2 ) yMax = yMin + shape [ 0 ] - 1 yPositions = range ( stepSize * yMin , stepSize * yMax + 1 , stepSize ) spreadOffsets = list ( cross ( yPositions , xPositions ) ) # Put the (0,0) entry first spreadOffsets . remove ( ( 0 , 0 ) ) spreadOffsets . insert ( 0 , ( 0 , 0 ) ) numSpreadOffsets = len ( spreadOffsets ) print "spreadOffsets:" , spreadOffsets return centerOffsets , spreadOffsets
Generates centre offsets and spread offsets for block-mode based training
  regimes - star, cross, block.

    Parameters:
    -----------------------------------------------
    spaceShape:   The (height, width) of the 2-D space to explore. This
                  sets the number of center-points.
    spreadShape:  The shape (height, width) of the area around each center-point
                  to explore.
    stepSize:     The step size. How big each step is, in pixels. This controls
                  *both* the spacing of the center-points within the block and the
                  points we explore around each center-point
    retval:       (centreOffsets, spreadOffsets)
Generates centre offsets and spread offsets for block - mode based training regimes - star cross block .