LogalDeveloper/Minecraft-Overviewer
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A smarter (?) attempt at rotating everything.

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This commit is contained in:
Ryan Rector
2011-07-10 21:05:45 -06:00
parent e81db44ea9
commit e732eb6450
4 changed files with 31 additions and 32 deletions
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25
world.py
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@@ -169,7 +169,7 @@ class World(object):
if self.regions.get(filename) is not None:
self.regions[filename][0].closefile()
chunkcache = {}
mcr = nbt.MCRFileReader(filename)
mcr = nbt.MCRFileReader(filename, self.north_direction)
self.regions[filename] = (mcr,os.path.getmtime(filename),chunkcache)
return mcr
@@ -185,26 +185,12 @@ class World(object):
in the image each one should be. Returns (col, row)."""
# change this function, and you MUST change unconvert_coords
if self.north_direction == 'lower-left':
return (chunkx + chunky, chunky - chunkx)
elif self.north_direction == 'lower-right':
return (chunkx + chunky, chunkx - chunky)
elif self.north_direction == 'upper-left':
return (chunkx - chunky, chunkx + chunky)
elif self.north_direction == 'upper-right':
return (chunky - chunkx, chunkx + chunky)
return (chunkx + chunky, chunky - chunkx)
def unconvert_coords(self, col, row):
"""Undoes what convert_coords does. Returns (chunkx, chunky)."""
if self.north_direction == 'lower-left':
return ((col - row) / 2, (row + col) / 2)
if self.north_direction == 'lower-right':
return ((col + row) / 2, (col - row) / 2)
if self.north_direction == 'upper-left':
return ((col + row) / 2, (row - col) / 2)
if self.north_direction == 'upper-right':
return ((row - col) / 2, (col + row) / 2)
return ((col - row) / 2, (row + col) / 2)
def findTrueSpawn(self):
"""Adds the true spawn location to self.POI. The spawn Y coordinate
@@ -225,7 +211,10 @@ class World(object):
chunkFile = self.get_region_path(chunkX, chunkY)
if chunkFile is not None:
data = nbt.load_from_region(chunkFile, chunkX, chunkY)[1]
#TODO I broke it
#data = nbt.load_from_region(chunkFile, chunkX, chunkY, self.north_direction)[1]
data = None
if data is not None:
level = data['Level']
blockArray = numpy.frombuffer(level['Blocks'], dtype=numpy.uint8).reshape((16,16,128))