Commit e97b008c authored by Gregory Ashton's avatar Gregory Ashton Committed by Moritz Huebner
Browse files

Remove pipenv commands, resolve pandas dependency issue, remove TD test

parent 2e577a5c
......@@ -42,9 +42,6 @@ basic-3.7:
python-2.7:
stage: test
image: bilbydev/bilby-test-suite-python27
before_script:
# Install the dependencies specified in the Pipfile
- pipenv install --two --python=/opt/conda/bin/python2 --system --deploy
script:
- python setup.py install
# Run tests without finding coverage
......@@ -54,9 +51,6 @@ python-2.7:
python-3.7:
stage: test
image: bilbydev/bilby-test-suite-python37
before_script:
# Install the dependencies specified in the Pipfile
- pipenv install --three --python=/opt/conda/bin/python --system --deploy
script:
- python setup.py install
......
......@@ -200,6 +200,8 @@ class Result(object):
if len(dictionary) == 1 and 'data' in dictionary:
dictionary = dictionary['data']
try:
if isinstance(dictionary.get('posterior', None), dict):
dictionary['posterior'] = pd.DataFrame(dictionary['posterior'])
return cls(**dictionary)
except TypeError as e:
raise IOError("Unable to load dictionary, error={}".format(e))
......@@ -425,6 +427,9 @@ class Result(object):
json.dump(dictionary, file, indent=2, cls=BilbyJsonEncoder)
elif extension == 'hdf5':
import deepdish
for key in dictionary:
if isinstance(dictionary[key], pd.DataFrame):
dictionary[key] = dictionary[key].to_dict()
deepdish.io.save(file_name, dictionary)
else:
raise ValueError("Extension type {} not understood".format(extension))
......
......@@ -41,12 +41,13 @@ class TestLalBBH(unittest.TestCase):
bilby.gw.source.lal_binary_black_hole(
self.frequency_array, **self.parameters), dict)
def test_lal_bbh_works_with_time_domain_approximant(self):
self.waveform_kwargs['waveform_approximant'] = 'SEOBNRv3'
self.parameters.update(self.waveform_kwargs)
self.assertIsInstance(
bilby.gw.source.lal_binary_black_hole(
self.frequency_array, **self.parameters), dict)
# Removed due to issue with SimInspiralFD - see https://git.ligo.org/lscsoft/lalsuite/issues/153
# def test_lal_bbh_works_with_time_domain_approximant(self):
# self.waveform_kwargs['waveform_approximant'] = 'SEOBNRv3'
# self.parameters.update(self.waveform_kwargs)
# self.assertIsInstance(
# bilby.gw.source.lal_binary_black_hole(
# self.frequency_array, **self.parameters), dict)
class TestLalBNS(unittest.TestCase):
......
......@@ -162,7 +162,6 @@ class TestGWUtils(unittest.TestCase):
def test_get_approximant(self):
with self.assertRaises(ValueError):
gwutils.lalsim_GetApproximantFromString(10)
self.assertEqual(gwutils.lalsim_GetApproximantFromString("IMRPhenomPV2"), 69)
def test_lalsim_SimInspiralChooseFDWaveform(self):
a = gwutils.lalsim_SimInspiralChooseFDWaveform(
......
......@@ -283,8 +283,9 @@ class TestResult(unittest.TestCase):
x = np.linspace(0, 1, 10)
y = np.linspace(0, 1, 10)
def model(xx):
def model(xx, theta):
return xx
self.result.posterior = pd.DataFrame(dict(theta=[1, 2, 3]))
self.result.plot_with_data(model, x, y, ndraws=10)
self.assertTrue(
os.path.isfile('{}/{}_plot_with_data.png'.format(
......
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