def arcsin(x):
try:
x._reverse_scalars
child = ReverseVector(np.arcsin(x._val))
for var in x._children.keys():
child._children[var] = [(x, 1 / np.sqrt(1 - x._val**2))]
return child
except AttributeError:
try: # If scalar variable
child = ReverseScalar(np.arcsin(x._val))
child._children[x] = 1 / np.sqrt(1 - x._val**2)
return child
except AttributeError: # If contant
return np.arcsin(x)
def log(x):
try:
x._reverse_scalars
child = ReverseVector(np.log(x._val))
for var in x._children.keys():
child._children[var] = [(x, 1 / x._val)]
return child
except AttributeError:
try: # If scalar variable
child = ReverseScalar(np.log(x._val))
child._children[x] = 1 / x._val
return child
except AttributeError: # If contant
return np.log(x)
def reverse_vector(vals):
'''
Creates a ReverseVector object with the values given
INPUTS
=======
vals: The list of numeric values at which to evaluate
RETURNS
=======
ReverseVector objects
'''
reverse_vecs = [None] * len(vals)
for i in range(len(vals)):
reverse_vecs[i] = ReverseVector(vals[i])
reverse_vecs[i]._init_children()
return reverse_vecs
def test_getitem():
x = ReverseVector([1, 2])
assert x[0].get()[0] == 1
assert x[1].get()[0] == 2
def new_create():
vars = ReverseVector([10, 10, 3]), ReverseVector([20, 20, 25]), ReverseVector([30, 30, 1])
for var in vars:
var._init_children()
return tuple(vars)
def create():
var1, var2 = ReverseVector([10, 3]), ReverseVector([20, 25])
var1._init_children()
var2._init_children()
return var1, var2