-trimmed test scope

-added travis CI testing files

Author: thearn

.gitignore

@@ -4,3 +4,4 @@
 *.x3g
 /build
 *egg-info
+.coverage

.travis.yml

@@ -0,0 +1,15 @@
+# vim ft=yaml
+# travis-ci.org definition for stl_tools build
+#
+
+language: python
+python:
+  - "2.7"
+  - "3.2"
+  - "3.3"
+# command to install dependencies
+install:
+  - "pip install -r requirements.txt --use-mirrors"
+  - "sudo python setup.py build install"
+# command to run tests
+script: nosetests

Makefile

@@ -0,0 +1,5 @@
+test:
+	nosetests stl_tools
+
+coverage:
+	nosetests stl_tools --with-coverage --cover-package=stl_tools

README.md

@@ -36,7 +36,7 @@ dependencies above and install the library.
 This will also install the
 command line script `image2stl` into the `Python/Scripts` directory.
 
-Automatic tests can be perfomed by running `stl_tools/test/test_model.py` from within the test directory.
+Automatic tests can be perfomed by running `stl_tools/test/test_stl.py`.
 
 ## Quickstart Examples:
 

requirements.txt

@@ -0,0 +1,3 @@
+matplotlib>=1.2
+numpy>=1.7
+scipy>=0.12

stl_tools/image2stl.py

@@ -50,7 +50,7 @@ def image2stl():
     if L > 2:
         if len(w) >= L:
             A = np.sum([float(w[i]) * A[:, :, i]
-                       for i in xrange(A.shape[-1])], axis=0)
+                       for i in range(A.shape[-1])], axis=0)
         else:
             A = A.mean(axis=2)
 

stl_tools/test/__init__.py

@@ -1,2 +0,0 @@
-from numpy2stl import numpy2stl
-from text2png import text2png, text2array

stl_tools/test/test_stl.py

@@ -28,18 +28,19 @@ def test_png(self):
         """ Tests creation of an STL from a PNG.
         Covers the text2array function.
         """
-
+        output_name = "OUT_.stl"
         # test ascii output
         A = imresize([[0, 1], [1, 0]], (64, 64))
-        numpy2stl(A, "OUT_.stl", scale=0.05, mask_val=3., ascii=True)
-        os.path.exists("OUT_.stl")
+        numpy2stl(A, output_name, scale=0.05, mask_val=3., ascii=True)
+        assert os.path.exists(output_name)
+        assert os.stat(output_name).st_size > 1500000
 
         # test binary output
         A = imresize([[0, 1], [1, 0]], (64, 64))
-        numpy2stl(A, "OUT_.stl", scale=0.05, mask_val=3., ascii=False)
-        os.path.exists("OUT_.stl")
-
-        os.remove("OUT_.stl")
+        numpy2stl(A, output_name, scale=0.05, mask_val=3., ascii=False)
+        assert os.path.exists(output_name)
+        assert os.stat(output_name).st_size > 200000
+        os.remove(output_name)
 
 if __name__ == '__main__':
     unittest.main()