def test_uniform(self):
" BufferDict.uniform "
b = BufferDict()
BufferDict.uniform('f', 0., 1.)
for fw, w in [(0, 0.5), (-1., 0.15865525393145707), (1, 1 - 0.15865525393145707)]:
b['f(s)'] = fw
fmt = '{:.6f}'
self.assertEqual(fmt.format(b['s']), fmt.format(w))
b['f(a)'] = 4 * [fw]
self.assertEqual(str(b['a']), str(np.array(4 * [w])))
BufferDict.del_distribution('f')
def test_extension_mapping(self):
" BufferDict extension and mapping properties "
p = BufferDict()
p['a'] = 1.
p['b'] = [2., 3.]
p['log(c)'] = 0.
p['sqrt(d)'] = [5., 6.]
p['erfinv(e)'] = [[33.]]
p['f(w)'] = BufferDict.uniform('f', 2., 3.).mean
newp = BufferDict(p)
for i in range(2):
for k in p:
assert np.all(p[k] == newp[k])
assert newp['c'] == np.exp(newp['log(c)'])
assert np.all(newp['d'] == np.square(newp['sqrt(d)']))
assert np.all(newp['e'] == gv.erf(newp['erfinv(e)']))
assert np.all(p.buf == newp.buf)
p.buf[:-1] = [10., 20., 30., 1., 2., 3., 4.]
newp.buf = np.array(p.buf.tolist())
self.assertEqual(
gv.get_dictkeys(p, ['c', 'a', 'log(c)', 'e', 'd', 'w', 'f(w)']),
['log(c)', 'a', 'log(c)', 'erfinv(e)', 'sqrt(d)', 'f(w)', 'f(w)']
)
self.assertEqual(
[gv.dictkey(p, k) for k in [
'c', 'a', 'log(c)', 'e', 'd'
]],
['log(c)', 'a', 'log(c)', 'erfinv(e)', 'sqrt(d)']
)
self.assertTrue(gv.BufferDict.has_dictkey(p, 'a'))
self.assertTrue(gv.BufferDict.has_dictkey(p, 'b'))
self.assertTrue(gv.BufferDict.has_dictkey(p, 'c'))
self.assertTrue(gv.BufferDict.has_dictkey(p, 'd'))
self.assertTrue(gv.BufferDict.has_dictkey(p, 'e'))
self.assertTrue(gv.BufferDict.has_dictkey(p, 'log(c)'))
self.assertTrue(gv.BufferDict.has_dictkey(p, 'sqrt(d)'))
self.assertTrue(gv.BufferDict.has_dictkey(p, 'erfinv(e)'))
self.assertTrue(not gv.BufferDict.has_dictkey(p, 'log(a)'))
self.assertTrue(not gv.BufferDict.has_dictkey(p, 'sqrt(b)'))
self.assertEqual(list(p), ['a', 'b', 'log(c)', 'sqrt(d)', 'erfinv(e)', 'f(w)'])
np.testing.assert_equal(
(list(p.values())),
([10.0, [20., 30.], 1.0, [2., 3.], [[4.]], 0.])
)
self.assertEqual(p.get('c'), p['c'])
# tracking?
self.assertAlmostEqual(p['c'], np.exp(1))
self.assertAlmostEqual(p['log(c)'], 1.)
p['log(c)'] = 2.
self.assertAlmostEqual(p['c'], np.exp(2))
self.assertAlmostEqual(p['log(c)'], 2.)
p['a'] = 12.
self.assertAlmostEqual(p['c'], np.exp(2))
self.assertAlmostEqual(p['log(c)'], 2.)
self.assertEqual(
list(p),
['a', 'b', 'log(c)', 'sqrt(d)', 'erfinv(e)', 'f(w)'],
)
# the rest is not so important
# trim redundant keys
oldp = trim_redundant_keys(newp)
assert 'c' not in oldp
assert 'd' not in oldp
assert np.all(oldp.buf == newp.buf)
# nonredundant keys
# assert set(nonredundant_keys(newp.keys())) == set(p.keys())
self.assertEqual(set(nonredundant_keys(newp.keys())), set(p.keys()))
# stripkey
for ks, f, k in [
('aa', np.exp, 'log(aa)'),
('aa', np.square, 'sqrt(aa)'),
]:
self.assertEqual((ks,f), gv._bufferdict._stripkey(k))
# addparentheses
pvar = BufferDict()
pvar['a'] = p['a']
pvar['b'] = p['b']
pvar['logc'] = p['log(c)']
pvar['sqrtd'] = p['sqrt(d)']
pvar['erfinv(e)'] = p['erfinv(e)']
pvar['f(w)'] = p['f(w)']
pvar = add_parameter_parentheses(pvar)
for k in p:
assert k in pvar
assert np.all(p[k] == pvar[k])
for k in pvar:
assert k in p
pvar = add_parameter_parentheses(pvar)
for k in p:
assert k in pvar
assert np.all(p[k] == pvar[k])
for k in pvar:
assert k in p
pvar['log(c(23))'] = 1.2
pvar = BufferDict(pvar)
assert 'c(23)' not in pvar
assert 'log(c(23))' in pvar
self.assertAlmostEqual(gv.exp(pvar['log(c(23))']), pvar['c(23)'])
BufferDict.del_distribution('f')