update samples from Release-108 as a part of 1.35.0 SDK stable release

how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/keras-mnist-fashion/prepare.py

@@ -4,15 +4,15 @@ import sys
 
 def convert(imgf, labelf, outf, n):
     f = open(imgf, "rb")
-    l = open(labelf, "rb")
+    temp = open(labelf, "rb")
     o = open(outf, "w")
 
     f.read(16)
-    l.read(8)
+    temp.read(8)
     images = []
 
     for i in range(n):
-        image = [ord(l.read(1))]
+        image = [ord(temp.read(1))]
         for j in range(28 * 28):
             image.append(ord(f.read(1)))
         images.append(image)
@@ -21,7 +21,7 @@ def convert(imgf, labelf, outf, n):
         o.write(",".join(str(pix) for pix in image) + "\n")
     f.close()
     o.close()
-    l.close()
+    temp.close()
 
 
 mounted_input_path = sys.argv[1]