def test_check_tree(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc.a._isinstance('c', (int, float))
def validate_b(value):
return 0 <= value <= 256
tc.a._validate('b', validate_b)
t2 = scicfg.SciConfig()
t2._branch('a')
t2.a.c = 2.0
t2.a.b = 50
t2._check(tc)
t2.a.b = 350
with self.assertRaises(TypeError):
t2._check(tc)
t2.a.b = 250
t2.a.c = '23'
with self.assertRaises(TypeError):
t2._check(tc)
t2.a.c = 2.0
t2.a.b = 50
t2._update(tc)
t2._check()
t2.a.d = 50
with self.assertRaises(TypeError):
t2._strict(True)
def test_update_frozen(self):
t = scicfg.SciConfig()
t.b = 2
t._branch('a')
t2 = scicfg.SciConfig()
t2.b = 3
t2._freeze(True)
with self.assertRaises(ValueError):
t2._update(t)
def test_update(self):
t = scicfg.SciConfig()
t._isinstance('f', int)
t2 = scicfg.SciConfig(strict=True)
with self.assertRaises(TypeError):
t2.f = 2
t2._update(t, descriptions=False)
with self.assertRaises(TypeError):
t2.f = 2
t2._update(t)
t2.f = 2
def test_check_struct(self):
tc = scicfg.SciConfig()
tc._branch('a')
t2 = scicfg.SciConfig()
t2._branch('a')
t2._check(tc, struct=True)
t2._branch('b')
with self.assertRaises(TypeError):
t2._check(tc, struct=True)
with self.assertRaises(TypeError):
tc._check(t2, struct=True)
def test_update_structfrozen(self):
t = scicfg.SciConfig()
t.b = 2
t2 = scicfg.SciConfig()
t2.b = 3
t2._freeze_struct(True)
t2._update(t)
self.assertEqual(t.b, 2)
t._branch('a')
with self.assertRaises(ValueError):
t2._update(t)
def test_get(self):
tc = scicfg.SciConfig()
tc._branch('a.b')
tc.a.b.c = 1
self.assertEqual(tc._get('a.b.c', 2), 1)
self.assertEqual(tc._get('a.b.d', 2), 2)
def test_lines(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc.a.b = 1
tc.a.d = [1, 2, 3]
self.assertTrue(
tc.__str__() in ['a.b=1\na.d=[1, 2, 3]', 'a.d=[1, 2, 3]\na.b=1'])
def __init__(self, cfg, **kwargs):
""" You should define m_channels and s_channels, motor and sensory
channels for the environment, here, as a list of Channel instances.
"""
if isinstance(cfg, dict):
cfg = scicfg.SciConfig(cfg)
self.cfg = cfg
self.cfg._update(self.defcfg, overwrite=False)
def test_fromkeys1(self):
tc = scicfg.SciConfig()
t = tc._fromkeys(('a', 'c.d'), 3)
self.assertEqual(set(t._items()),set((('a', 3), ('c.d', 3))))
with self.assertRaises(ValueError):
t = scicfg.SciConfig._fromkeys(('a', 'a.d'))
def test_unfreeze(self):
cfg = scicfg.SciConfig()
cfg['a.b'] = 3
cfg['a.a.c'] = 3
cfg._freeze(True)
cfg2 = cfg._deepcopy()
cfg2['b'] = 1
def test_nestitem(self):
tc = scicfg.SciConfig()
tc['a.b'] = 1
self.assertEqual(tc.a.b, 1)
self.assertTrue('a.b' in tc)
self.assertTrue('a.c' not in tc)
def test_popitem0(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc.a.b = 1
self.assertEqual(tc._popitem(), ('a.b', 1))
with self.assertRaises(KeyError):
tc._popitem()
def test_coverage(self):
tc = scicfg.SciConfig()
tc._branch('a')
with self.assertRaises(KeyError):
tc._coverage('a.b')
tc.a.b = 1
self.assertEqual(tc._coverage('a.b'), 0)
tc.a.b
self.assertEqual(tc._coverage('a.b'), 1)
def test_docstring(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc._docstring('a.b', 'a nice descriptive docstring')
tc._docstring('a.c', """Another one""")
self.assertEqual(tc._docstring('a.b'), 'a nice descriptive docstring')
self.assertEqual(tc._docstring('a.c'), 'Another one')
self.assertEqual(tc._docstring('a.f'), None)
def test_freeze_struct(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc.a.b = 1
tc._freeze_struct(True)
with self.assertRaises(ValueError):
tc.a.c = 1
tc.a.b = 2
def test_history(self):
tc = scicfg.SciConfig()
tc._branch('a')
with self.assertRaises(KeyError):
tc._history('a.b')
tc.a.b = 1
self.assertEqual(tc._history('a.b'), [1])
tc.a.b = '2'
self.assertEqual(tc._history('a.b'), [1, '2'])
def test_walk(self):
cfg = scicfg.SciConfig()
cfg['a.b.c'] = 1
cfg['a.b.d'] = 2
cfg['a.e'] = 3
self.assertEqual(
self.listit(cfg._walk()),
[[[], ['a'], ''], [[], ['c', 'd'], 'a.b'], [['b'], ['e'], 'a']])
def test_setdefault(self):
tc = scicfg.SciConfig()
tc._branch('a.b')
tc.a.b.c = 1
tc.a._setdefault('b.c', 2)
tc.a._setdefault('e.c', 4)
self.assertEqual(tc.a.b.c, 1)
self.assertEqual(tc.a.e.c, 4)
def test_deepcopy(self):
cfg = scicfg.SciConfig()
cfg['a.b'] = 3
cfg['a.a.c'] = 3
cfg2 = cfg._copy()
cfg2['b'] = 1
with self.assertRaises(KeyError):
cfg['b']
def test_kvi(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc.a['b'] = 1
tc.color = 'blue'
self.assertEqual({'a.b', 'color'}, set(tc._keys()))
self.assertEqual({1, 'blue'}, set(tc._values()))
self.assertEqual({('a.b', 1), ('color', 'blue')}, set(tc._items()))
def test_update_dict(self):
d = {'b' : 2,
'abc.cde.d': 3,
'abc.f' : 4}
t = scicfg.SciConfig()
t._update(d, overwrite=True)
for key, value in d.items():
self.assertEqual(t[key], value)
self.assertEqual(t.abc.cde.d, 3)
def test_nestedbranch(self):
tc = scicfg.SciConfig()
tc._branch('a.b')
tc.a.b.c = 1
self.assertEqual(tc.a.b.c, 1)
tc._branch('a.b.defg.hc.i')
tc.a.b.defg.hc.i.c = 3
self.assertEqual(tc.a.b.defg.hc.i.c, 3)
self.assertEqual(tc.a.b.c, 1)
def test_item(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc.a['b'] = 1
self.assertEqual(tc.a.b, 1)
self.assertEqual(tc.a['b'], 1)
tc.a.b = 2
self.assertEqual(tc.a.b, 2)
self.assertEqual(tc.a['b'], 2)
def test_copy(self):
tc = scicfg.SciConfig()
tc._branch('a.b')
tc.a.b.c = 1
tc['a.b.defg.hc.i'] = 3
t2 = tc._copy()
self.assertEqual(tc, t2)
t3 = tc._deepcopy()
self.assertEqual(tc, t3)
def __init__(self):
m_bounds = ((0.0, 1.0), (0.0, 1.0))
self.m_channels = [
envs.Channel(i, mb_i) for i, mb_i in enumerate(m_bounds)
]
self.s_channels = [envs.Channel(i) for i in enumerate((2, 3))]
self._cfg = scicfg.SciConfig()
self._cfg.m_channels = self.m_channels
self._cfg.s_channels = self.s_channels
self._cfg._freeze(True)
def test_in(self):
tc = scicfg.SciConfig()
tc._branch('a.b')
tc.a.b.c = 1
self.assertTrue('a.b.c' in tc)
self.assertTrue(not 'a.b.d' in tc)
self.assertTrue('a' in tc)
self.assertTrue('a.b' in tc)
with self.assertRaises(ValueError):
'a.' not in tc
def test_both(self):
tc = scicfg.SciConfig()
tc._branch('a')
tc.a.b = 1
tc.a.d = [1, 2, 3]
filename = tempname()
tc._to_file(filename)
t2 = scicfg.SciConfig._from_file(filename)
self.assertEqual(tc, t2)
def test_pickle(self):
t = scicfg.SciConfig()
t.a = scicfg.SciConfig()
t.a.b = 1
t.a.c = '2'
t.a._branch('efg')
t.a.efg.h = [2, 3, 4]
t['b.farm'] = None
s = pickle.dumps(t)
t2 = pickle.loads(s)
self.assertEqual(t, t2)
filename = tempname()
with open(filename, 'wb') as f:
pickle.dump(t, f)
with open(filename, 'rb') as f:
t2 = pickle.load(f)
self.assertEqual(t, t2)
def test_describe2(self):
defcfg = scicfg.SciConfig()
defcfg._describe('m_channels', instanceof=collections.Iterable,
docstring='Motor channels to generate random order of')
defcfg._describe('s_channels', instanceof=collections.Iterable,
docstring='Sensory channels to generate random goal from')
defcfg._describe('models.fwd', instanceof=str,
docstring='The name of the forward model to use')
defcfg._describe('models.inv', instanceof=str,
docstring='The name of the invserse model to use')
defcfg._describe('models.kwargs', instanceof=dict,
docstring='optional keyword arguments')
def test_update_dict2(self):
d = {'b' : 2,
'abc.cde.d': 3,
'abc.f' : 4}
t = scicfg.SciConfig()
t.b = [1, 2]
t['abc.f'] = None
t._update(d, overwrite=False)
self.assertEqual(t.b, [1, 2])
self.assertEqual(t.abc.cde.d, 3)
self.assertEqual(t.abc.f, None)
