71ed0396fa7e2e1f9c0a5254beaace62f95ede06
max
  Thu Oct 30 08:24:47 2025 -0700
fixing INTNAN bug, woodchuck-liver/healthy-liver-pbmc/, marc

diff --git src/cbPyLib/cellbrowser/cellbrowser.py src/cbPyLib/cellbrowser/cellbrowser.py
index 13a9b34..71066e9 100755
--- src/cbPyLib/cellbrowser/cellbrowser.py
+++ src/cbPyLib/cellbrowser/cellbrowser.py
@@ -2050,32 +2050,30 @@
 
 def exprEncode(geneDesc, exprArr, matType):
     """ convert an array of numbers of type matType (int or float) to a compressed string of
     float32s
     The format of a record is:
     - 2 bytes: length of descStr, e.g. gene identifier or else
     - len(descStr) bytes: the descriptive string descStr
     - array of n 4-byte floats (n = number of cells) or 4-byte unsigned ints
     """
     geneDesc = str(geneDesc) # make sure no unicode
     geneIdLen = struct.pack("<H", len(geneDesc))
 
     nanValue = None
     if matType=="float":
         nanValue = FLOATNAN
-    else:
-        nanValue = INTNAN
 
     # on cortex-dev, numpy was around 30% faster. Not a huge difference.
     if numpyLoaded:
         if matType=="float":
             exprArr = exprArr.astype("float32")
             exprArr[np.isnan(exprArr)] = nanValue
         elif matType=="int":
             has_nan = np.any(np.isnan(exprArr))
             if has_nan:
                 assert(False) # integer matrices with Nans are not supported right now. Email the programmer.
             exprArr = exprArr.astype("uint32")
         else:
             assert(False) # internal error
 
         minVal = np.amin(exprArr)