Merge pull request #11 from jcwbacker/master

  - conda info -a

  # Create a virtual env and install dependencies

  - conda create -y -q -n test-env python=$TRAVIS_PYTHON_VERSION nose gdal numpy scipy pandas

  - conda create -y -q -n test-env python=$TRAVIS_PYTHON_VERSION nose gdal numpy scipy pandas networkx

  # Activate the env

  - source activate test-env

import os

import unittest

from autocnet.examples import get_path

class TestX(unittest.TestCase):

import sys

sys.path.insert(0, os.path.abspath('..'))

from .. import network

class TestCandidateGraph(unittest.TestCase):

    def setUp(self):

        pass

        self.graph = network.CandidateGraph.from_adjacency(get_path('adjacency.json'))

    def test_X(self):

        self.assertEquals(1, 1)

    def test_add_image(self):

        self.graph.add_image("A")

        self.graph.add_image("PI")

        self.graph.add_image("OTHER")

        truth = ['AS15-M-0298_SML.png',

                 'AS15-M-0300_SML.png',

                 'AS15-M-0295_SML.png',

                 'AS15-M-0299_SML.png',

                 'AS15-M-0296_SML.png',

                 'AS15-M-0297_SML.png']

        truth += ['A', 'PI', 'OTHER']

        self.assertEqual(sorted(self.graph.nodes()), sorted(truth))

if __name__ == '__main__':

    unittest.main()

    def test_add_image_fail(self):

        self.assertRaises(TypeError, self.graph.add_image, [1, 2, 3])

    def test_adjacency_to_json(self):

        self.graph.adjacency_to_json('test_adjacency_to_json.json')

        self.assertTrue(os.path.exists('test_adjacency_to_json.json'))

    def tearDown(self):

        try:

            os.remove('test_adjacency_to_json.json')

        except:

            pass

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gdal>=2.0

pvl>=0.2.0

protobuf==3.0.0b2

networkx