def deserialize(self):
slicedTile = SlicedTile()
isAckDate = self._boolSerializer.deserialize()
if isAckDate > 0:
slicedTile._aquisitionDate = self._stringSerializer.deserialize()
slicedTile._band = self._intSerializer.deserialize()
slicedTile._leftUpperLon = self._doubleSerializer.deserialize()
slicedTile._leftUpperLat = self._doubleSerializer.deserialize()
slicedTile._rightLowerLon = self._doubleSerializer.deserialize()
slicedTile._rightLowerLat = self._doubleSerializer.deserialize()
slicedTile._height = self._intSerializer.deserialize()
slicedTile._width = self._intSerializer.deserialize()
hasContent = self._boolSerializer.deserialize()
if hasContent > 0:
slicedTile._content = self._bytesSerializer.deserialize()
row = self._intSerializer.deserialize()
col = self._intSerializer.deserialize()
slicedTile._positionInTile = row, col
return slicedTile
def flat_map(self, value, collector):
originalTileHeight = value._height
originalTileWidth = value._width
slicedTilesPerRow = originalTileWidth / self.slicedTileWidth
slicedTilesPerCol = originalTileHeight / self.slicedTileHeight
originalTileS16Tile = value._content
#print("The type of originalS16: " + type(originalTileS16Tile).__name__)
for row in xrange (0, slicedTilesPerRow):
for col in xrange (0, slicedTilesPerCol):
slicedTileLeftUpperCoordLon = floor(value._leftUpperLon - value._rightLowerLon) / slicedTilesPerCol * row
slicedTileLeftUpperCoordLat = floor(value._leftUpperLat - value._rightLowerLat) / slicedTilesPerRow * col
slicedTileRightLowerCoordLon = floor((value._leftUpperLon - value._rightLowerLon) / slicedTilesPerCol * (row + 1))
slicedTileRightLowerCoordLat = floor((value._leftUpperLat - value._rightLowerLat) / slicedTilesPerRow * (col + 1))
band = value._band
#Typo because of legacy issues
aquisitionDate = value._aquisitionDate
slicedTileS16Tile = bytearray()
for slicedTileRow in xrange (0, self.slicedTileHeight):
startIndex = col*self.slicedTileWidth + slicedTileRow*self.slicedTileWidth*slicedTilesPerRow + row*self.slicedTileWidth*self.slicedTileHeight*slicedTilesPerRow
endIndex = col*self.slicedTileWidth + slicedTileRow*self.slicedTileWidth*slicedTilesPerRow + row*self.slicedTileWidth*self.slicedTileHeight*slicedTilesPerRow + self.slicedTileWidth
tempSlicedTileS16Tile = originalTileS16Tile[startIndex * 2: endIndex * 2]
#print ("Startindex and endIndex: ", startIndex,endIndex )
#print ("The tempSlicedTile: ",tempSlicedTileS16Tile)
slicedTileS16Tile.extend(tempSlicedTileS16Tile)
#print("The type of newS16: " + type(slicedTileS16Tile).__name__)
slicedTile = SlicedTile()
slicedTile._content = slicedTileS16Tile
#slicedTile._content = originalTileS16Tile
slicedTile._leftUpperLat = slicedTileLeftUpperCoordLat
slicedTile._leftUpperLon = slicedTileLeftUpperCoordLon
slicedTile._rightLowerLat = slicedTileRightLowerCoordLat
slicedTile._rightLowerLon = slicedTileRightLowerCoordLon
slicedTile._width = self.slicedTileWidth
slicedTile._height = self.slicedTileHeight
slicedTile._band = band
slicedTile._aquisitionDate = aquisitionDate
slicedTile._positionInTile = (row, col)
#print ("The aqu Date: " + str(slicedTile._aquisitionDate))
collector.collect(slicedTile)
#self.allDatesList.append(value._aquisitionDate)
print("The flatmap is over")
