Renamed all test files to prefix 'test_'.

src/test_chars_a.py

@@ -1,14 +0,0 @@
-#!/usr/bin/python
-from pylab import subplot, show, imshow, axis
-from cPickle import load
-
-chars = filter(lambda c: c.value == 'A', load(file('chars', 'r')))
-
-for i in range(10):
-    for j in range(3):
-        index = j * 10 + i
-        subplot(10, 3, index + 1)
-        axis('off')
-        imshow(chars[index].image.data, cmap='gray')
-
-show()

src/combined_test.py → src/test_combined.py

@@ -1,3 +1,4 @@
+#!/usr/bin/python
 from GrayscaleImage import GrayscaleImage
 from NormalizedCharacterImage import NormalizedCharacterImage
 

src/GaussianFilterTest.py → src/test_gauss.py

@@ -1,3 +1,4 @@
+#!/usr/bin/python
 from GaussianFilter import GaussianFilter
 from GrayscaleImage import GrayscaleImage
 

src/histogram_test.py → src/test_histogram.py

@@ -1,3 +1,4 @@
+#!/usr/bin/python
 from Histogram import Histogram
 
 his = Histogram(10, 10, 110)
@@ -22,4 +23,4 @@ his.add(99)
 his.add(100)
 his.add(109)
 
-print his.bins
+print his.bins

src/LocalBinaryPatternizerTest.py → src/test_lbp.py

@@ -1,3 +1,4 @@
+#!/usr/bin/python
 from GrayscaleImage import GrayscaleImage
 from LocalBinaryPatternizer import LocalBinaryPatternizer
 

src/LetterCropperTest.py → src/test_lettercropper.py

@@ -1,3 +1,4 @@
+#!/usr/bin/python
 from LetterCropper import LetterCropper
 from GrayscaleImage import GrayscaleImage
 
@@ -7,4 +8,4 @@ cropper = LetterCropper(image)
 
 cropped_letter = cropper.get_cropped_letter()
 
-cropped_letter.show()
+cropped_letter.show()