def test_combine_symbols():
'''
test infomration.combine_symbols, takes a bunch of 1D
symbols and generates another 1D symbol
'''
x = [1,1,2,2]
y = [1,2,1,2]
z = ((1,1),(1,2),(2,1),(2,2))
assert_equal(z, info.combine_symbols(x,y))
# Combine categorical symbols
x = ('r', 'r', 'g', 'g', 'b', 'b')
y = ('r', 1, 'r', 1, 'r', 1)
z = (('r', 'r'), ('r', 1), ('g', 'r'), ('g', 1), ('b', 'r'), ('b', 1))
assert_equal(z, info.combine_symbols(x,y))
# Combine 4 sequences at once
x0 = (1, 1, 1, 1)
x1 = (1, 1, 2, 2)
x2 = (1, 2, 2, 1)
x3 = (2, 2, 1, 1)
z = ((1,1,1,2), (1,1,2,2), (1,2,2,1), (1,2,1,1))
assert_equal(z, info.combine_symbols(x0, x1, x2, x3))
# raise an exception when trying to combine iterables with different lengths
x = (1,2,3,4)
y = (1,2,3)
assert_raises(ValueError, info.combine_symbols, x, y)
def test_combine_symbols():
'''
test infomration.combine_symbols, takes a bunch of 1D
symbols and generates another 1D symbol
'''
x = [1, 1, 2, 2]
y = [1, 2, 1, 2]
z = ((1, 1), (1, 2), (2, 1), (2, 2))
assert_equal(z, discrete.combine_symbols(x, y))
# Combine categorical symbols
x = ('r', 'r', 'g', 'g', 'b', 'b')
y = ('r', 1, 'r', 1, 'r', 1)
z = (('r', 'r'), ('r', 1), ('g', 'r'), ('g', 1), ('b', 'r'), ('b', 1))
assert_equal(z, discrete.combine_symbols(x, y))
# Combine 4 sequences at once
x0 = (1, 1, 1, 1)
x1 = (1, 1, 2, 2)
x2 = (1, 2, 2, 1)
x3 = (2, 2, 1, 1)
z = ((1, 1, 1, 2), (1, 1, 2, 2), (1, 2, 2, 1), (1, 2, 1, 1))
assert_equal(z, discrete.combine_symbols(x0, x1, x2, x3))
# raise an exception when trying to combine iterables with different lengths
x = (1, 2, 3, 4)
y = (1, 2, 3)
assert_raises(ValueError, discrete.combine_symbols, x, y)
def test_symbols_to_prob():
#pdb.set_trace()
# a trivial example
x=[1]*5 + [2]*5
prob0=array((.5, .5)) # this is what the probabilities should be
prob1=info.symbols_to_prob(x).prob()
assert_true((prob0==prob1).all())
# an example combining different symbols
x = [1,1,1,1]
y = ['r', 'r', 'b', 'b']
z = [1,'r',1,'r']
s0 = info.combine_symbols(x,y) # instead of running info.combine_symbols(x,y,z) I
s1 = info.combine_symbols(s0, z) # split combination of symbols in two lines and test
# chain rule for combining symbols as well
prob0 = array([.25]*4)
prob1 = info.symbols_to_prob(s1).prob()
assert_true((prob0==prob1).all())
def test_symbols_to_prob():
#pdb.set_trace()
# a trivial example
x = [1] * 5 + [2] * 5
prob0 = array((.5, .5)) # this is what the probabilities should be
prob1 = discrete.symbols_to_prob(x).prob()
assert_true((prob0 == prob1).all())
# an example combining different symbols
x = [1, 1, 1, 1]
y = ['r', 'r', 'b', 'b']
z = [1, 'r', 1, 'r']
s0 = discrete.combine_symbols(
x, y) # instead of running discrete.combine_symbols(x,y,z) I
s1 = discrete.combine_symbols(
s0, z) # split combination of symbols in two lines and test
# chain rule for combining symbols as well
prob0 = array([.25] * 4)
prob1 = discrete.symbols_to_prob(s1).prob()
assert_true((prob0 == prob1).all())
