def test_one_parent():
x = Trace('x', 3, {'x': 1.0}, [])
a = one_parent(x, 'cos')
assert a.val == np.cos(3)
with pytest.raises(TypeError):
c = one_parent(x, 'cos', param='test')
with pytest.raises(TypeError):
x = 'test'
d = one_parent(x, 'cos')
def arccos(t):
'''
This allows to creat arccos(). ValueError is caught if the input Trace
instance has value not in the domain of (-1, 1)
Parameters:
t (Trace instance, scalar, or vector/list of Traces/scalars)
Return Trace that constitues arccos() elementary function
'''
try:
t_val = t.val
if math.in_domain(t_val, math.Ops.arccos):
return one_parent(t, math.Ops.arccos)
else:
raise ValueError('Input out of domain')
except AttributeError:
if isinstance(t, numbers.Number):
if math.in_domain(t, math.Ops.arccos):
return np.arccos(t)
else:
raise ValueError('Input out of domain')
elif isinstance(t, Iterable) and not isinstance(t, str):
return np.array([arccos(t_) for t_ in t])
else:
raise TypeError('Input(s) must be Trace or scalar')
def log(t, base=np.e):
'''
This allows to create log().
Parameters:
t (Trace instance, scalar, or vector/list of Traces/scalars)
base (int, or float)
Return Trace that constitues log() elementary function with input base (default=e)
'''
try:
t_val = t.val
formula = None
if base != np.e:
formula = f'log_{base}({t._trace_name})'
if math.in_domain(t_val, math.Ops.log, base):
return one_parent(t, math.Ops.log, base, formula)
else:
raise ValueError('Input out of domain')
except AttributeError:
if isinstance(t, numbers.Number):
if math.in_domain(t, math.Ops.log, base):
return np.log(t)/np.log(base)
else:
raise ValueError('Input out of domain')
elif isinstance(t, Iterable) and not isinstance(t, str):
return np.array([log(t_, base) for t_ in t])
else:
raise TypeError('Input(s) must be Trace or scalar')
def cos(t):
'''
This allows to create cos().
Parameters:
t (Trace instance, scalar, or vector/list of Traces/scalars)
Return Trace that constitues cos() elementary function
'''
try:
t_val = t.val
return one_parent(t, math.Ops.cos)
except AttributeError:
if isinstance(t, numbers.Number):
return np.cos(t)
elif isinstance(t, Iterable) and not isinstance(t, str):
return np.array([cos(t_) for t_ in t])
else:
raise TypeError('Input(s) must be Trace or scalar')
def exp(t, base=np.e):
'''
This allows to create exp().
Parameters:
t (Trace instance, scalar, or vector/list of Traces/scalars)
base (int, or float)
Return Trace that constitues exp() elementary function with input base (default=e)
'''
try:
t_val = t.val
formula = None
if base != np.e:
formula = f'{base}^{t._trace_name}'
return one_parent(t, math.Ops.exp, base, formula)
except AttributeError:
if isinstance(t, numbers.Number):
return np.power(base, t)
elif isinstance(t, Iterable) and not isinstance(t, str):
return np.array([exp(t_, base) for t_ in t])
else:
raise TypeError('Input(s) must be Trace or scalar')
def sqrt(t):
'''
This allows to create sqrt().
Parameters:
t (Trace instance, scalar, or vector/list of Traces/scalars)
Return Trace that constitues sqrt() elementary function
'''
try:
t_val = t.val
if math.in_domain(t_val, math.Ops.sqrt):
return one_parent(t, math.Ops.sqrt)
else:
raise ValueError('Input out of domain')
except AttributeError:
if isinstance(t, numbers.Number):
if math.in_domain(t, math.Ops.sqrt):
return t**0.5
else:
raise ValueError('Input out of domain')
elif isinstance(t, Iterable) and not isinstance(t, str):
return np.array([sqrt(t_) for t_ in t])
else:
raise TypeError('Input(s) must be Trace or scalar')
