Error "slice indices must be integers or None or have an __index__ method"

[suissemaxx]

Hi Mario

first of all: thanks for RasterFairy. Very much appreciated!

I can install and use RasterFairy with Python 2.7. Unfortunately I get this error when I try to to use it with v3.5 (trying to follow Gene Kogans TSNE notebooks with Keras, TF1.0). I am using a conda environment on Windows 10.

Any idea what might be the cause and how to fix this?

Many thanks in advance.

<ipython-input-28-842e2c585a53> in <module>()
      6 
      7 # assign to grid
----> 8 grid_assignment = rasterfairy.transformPointCloud2D(tsne, target=(nx, ny))

H:\KI\keras\rasterfairy.py in transformPointCloud2D(points2d, target, autoAdjustCount, proportionThreshold)
    107         if ( len(quadrants[i]['points']) > 1 ):
    108             slices = sliceQuadrant(quadrants[i], mask = rasterMask)
--> 109             if len(slices)>1:
    110                 del quadrants[i]
    111                 quadrants += slices

H:\KI\keras\rasterfairy.py in sliceQuadrant(quadrant, mask)
    170             order = np.lexsort((xy[:,0],xy[:,1]))
    171             sliceCount = sliceYCount
--> 172             sliceSize = grid[3] / sliceCount
    173             pointsPerSlice = grid[2] * sliceSize
    174             gridOffset = grid[1]

TypeError: slice indices must be integers or None or have an __index__ method```

[Quasimondo]

It might be the case that one of the libraries used has become stricter since I released the code and does not automatically convert floats to ints. I remember having seen that error at some point in the past but adding a few int() casts had solved it - maybe it needs a few more of those. From the stack trace you posted it's not really clear to me at which point the error occurs, since at least in the marked lines I don't see any operation that uses slicing, except maybe for that

order = np.lexsort((xy[:,0],xy[:,1])) line. I don't know, maybe you try change that line to order = np.lexsort((int(xy[:,0]),int(xy[:,1]))) and see what happens?

[suissemaxx]

Great! Thanks. That fixed this error.

It is still not working with Python 3.5 though. I get all sorts of new errors (mainly print statements without parentheses that i can fix) and than this one:

not enough memory for amount of possible permutations, creating grouped set
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-78-661d9e5abb3e> in <module>()
      1 import rasterfairy
      2 print(tsne.shape)
----> 3 arrangements = rasterfairy.getRectArrangements(tsne.shape[0])
      4 print(arrangements)
      5 

H:\KI\keras\rasterfairy.py in getRectArrangements(n)
    382                 arrangements.add((min(v1, v2),max(v1, v2)))
    383 
--> 384     return sorted(list(arrangements), cmp=proportion_sort, reverse=True)
    385 
    386 def getShiftedAlternatingRectArrangements(n):

TypeError: 'cmp' is an invalid keyword argument for this function`

Just to make a sure I again did a clean install of RF from my conda 3.5 environment with "python setup.py install" and I get these errors:

  File "build\bdist.win-amd64\egg\rasterfairy\prime.py", line 123
    print "not enough memory for amount of possible permutations, creating grouped set"
                                                                                      ^
SyntaxError: Missing parentheses in call to 'print'

byte-compiling build\bdist.win-amd64\egg\rasterfairy\rasterfairy.py to rasterfairy.cpython-35.pyc
  File "build\bdist.win-amd64\egg\rasterfairy\rasterfairy.py", line 54
    print "no good rectangle found for",pointCount,"points, using incomplete square",width,"*",height
                                      ^
SyntaxError: Missing parentheses in call to 'print'

byte-compiling build\bdist.win-amd64\egg\rasterfairy\rfoptimizer.py to rfoptimizer.cpython-35.pyc
  File "build\bdist.win-amd64\egg\rasterfairy\rfoptimizer.py", line 98
    print "ERROR:",(cx,cy)," doubled"
                 ^
SyntaxError: invalid syntax`

Looking at last years commits I assumed that RF should work with 3.5. Any hint what I do wrong?

(And please excuse if I somehow don´t see the forest for the trees...)

[Quasimondo]

Ah okay - so yes, this is written for Python 2.7 and I have not made sure that it also works with Python 3+

[suissemaxx]

Ok. I see. No problem. I just have to split the processing to two environments then.

Really cool plugin btw. Thanks for sharing this.