Integration with Travis-CI automated build testing

.gitignore

@@ -3,6 +3,5 @@
 \#*
 .emacs*
 old
-test
 zzz_old
-doc/_build
+doc/_build

.travis.yml

@@ -0,0 +1,12 @@
+language: python
+virtualenv:
+  system_site_packages: true
+python:
+  - "2.7"
+before_install: 
+  - sudo apt-get install python-numpy python-pyside python-matplotlib python-h5py 
+  - export PYTHONPATH=$PYTHONPATH:~/taskontrol
+
+#command to install dependencies
+# command to run tests
+script: nosetests

README.txt → README.md

@@ -1,8 +1,5 @@
- ______________
-
-   TASKontrol
- ______________
-
+![](https://travis-ci.org/nickponvert/taskontrol.svg?branch=master)
+#TASKontrol
 
 TASKontrol is a framework for developing behavioral experiments.
 
@@ -20,10 +17,10 @@ maintained by the Brody Lab) and the state machine for Linux+RTAI,
 originally developed at Cold Spring Harbor Laboratory.
 
 TASKontrol provides the following advantages:
-- No need for a Windows license, it runs easily on Linux.
-- No need for a Matlab license, it is written in Python.
-- No need for multiple computers, when used with the Arduino server.
-- An appealing graphical interface, it uses Qt.
+* No need for a Windows license, it runs easily on Linux.
+* No need for a Matlab license, it is written in Python.
+* No need for multiple computers, when used with the Arduino server.
+* An appealing graphical interface, it uses Qt.
 
 You can find the full documentation at:
   http://taskontrol.readthedocs.org

core/arraycontainer.py

@@ -8,35 +8,45 @@
 __version__ = '0.1'
 __author__ = 'Santiago Jaramillo <sjara@uoregon.edu>'
 
-
 from taskontrol.core import utils
 
 
 class Container(dict):
     def __init__(self):
-        super(Container, self).__init__()        
+        super(Container, self).__init__()
         self.labels = dict()
         ###self.currentTrial = 0
-    def append_to_file(self, h5file,currentTrial):
+
+    def append_to_file(self, h5file, currentTrial):
         '''Returns True if successful '''
-        if currentTrial<1:
-            raise UserWarning('WARNING: No trials have been completed or currentTrial not updated.')
+        if currentTrial < 1:
+            raise UserWarning('WARNING: No trials have been completed or\
+                              currentTrial not updated.')
         resultsDataGroup = h5file.require_group('resultsData')
         resultsLabelsGroup = h5file.require_group('resultsLabels')
-        for key,item in self.iteritems():
-            dset = resultsDataGroup.create_dataset(key, data=item[:currentTrial])
-        for key,item in self.labels.iteritems():
+        for key, item in self.iteritems():
+            dset = resultsDataGroup.create_dataset(key,
+                                                   data=item[:currentTrial])
+        for key, item in self.labels.iteritems():
             # FIXME: Make sure items of self.labels are dictionaries
-            utils.append_dict_to_HDF5(resultsLabelsGroup,key,item)
+            utils.append_dict_to_HDF5(resultsLabelsGroup, key, item)
+
+
+def main():
+
+    '''When executed as a script, create test array container and write the
+    data to an h5 file'''
 
-if __name__ == "__main__":
     import h5py
     import numpy as np
     c = Container()
     c['myvar1'] = np.arange(10)
-    c.labels['myvar2labels'] = {'yes':1,'no':0}
-    c['myvar2'] = np.array([0,1,1,1,0])
-    h5file = h5py.File('/tmp/testh5.h5','w')
+    c.labels['myvar2labels'] = {'yes': 1, 'no': 0}
+    c['myvar2'] = np.array([0, 1, 1, 1, 0])
+    h5file = h5py.File('/tmp/testh5.h5', 'w')
     h5file.create_group('resultsData')
-    c.append_to_file(h5file,4)
+    c.append_to_file(h5file, 4)
     h5file.close()
+
+if __name__ == "__main__":
+    main()