Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
57 lines
1.6 KiB
57 lines
1.6 KiB
4 years ago
|
import numpy as np
|
||
|
|
||
|
class _MockFunction:
|
||
|
def __init__(self, return_value = None):
|
||
|
self.number_calls = 0
|
||
|
self.return_value = return_value
|
||
|
self.last_args = ([], {})
|
||
|
|
||
|
def __call__(self, *args, **kwargs):
|
||
|
self.number_calls += 1
|
||
|
self.last_args = (args, kwargs)
|
||
|
return self.return_value
|
||
|
|
||
|
|
||
|
fft = _MockFunction(np.random.random(10))
|
||
|
fft2 = _MockFunction(np.random.random(10))
|
||
|
fftn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
ifft = _MockFunction(np.random.random(10))
|
||
|
ifft2 = _MockFunction(np.random.random(10))
|
||
|
ifftn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
rfft = _MockFunction(np.random.random(10))
|
||
|
rfft2 = _MockFunction(np.random.random(10))
|
||
|
rfftn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
irfft = _MockFunction(np.random.random(10))
|
||
|
irfft2 = _MockFunction(np.random.random(10))
|
||
|
irfftn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
hfft = _MockFunction(np.random.random(10))
|
||
|
hfft2 = _MockFunction(np.random.random(10))
|
||
|
hfftn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
ihfft = _MockFunction(np.random.random(10))
|
||
|
ihfft2 = _MockFunction(np.random.random(10))
|
||
|
ihfftn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
dct = _MockFunction(np.random.random(10))
|
||
|
idct = _MockFunction(np.random.random(10))
|
||
|
dctn = _MockFunction(np.random.random(10))
|
||
|
idctn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
dst = _MockFunction(np.random.random(10))
|
||
|
idst = _MockFunction(np.random.random(10))
|
||
|
dstn = _MockFunction(np.random.random(10))
|
||
|
idstn = _MockFunction(np.random.random(10))
|
||
|
|
||
|
|
||
|
__ua_domain__ = "numpy.scipy.fft"
|
||
|
|
||
|
|
||
|
def __ua_function__(method, args, kwargs):
|
||
|
fn = globals().get(method.__name__)
|
||
|
return (fn(*args, **kwargs) if fn is not None
|
||
|
else NotImplemented)
|