32eb4d6faa3916d1cfbff69f58c927017beced89,pymc/tests/test_distributions.py,,check_dlogp,#Any#Any#Any#Any#,384
Before Change
ndlogp = Gradient(wrapped_logp)
names = list(map(str, model.vars))
for a in product(domains):
pt = Point(zip(names, a), model=model)
After Change
except ImportError:
return
domains = paramdomains.copy()
domains["value"] = domain
bij = DictToArrayBijection(
ArrayOrdering(model.cont_vars), model.test_point)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: pymc-devs/pymc3
Commit Name: 32eb4d6faa3916d1cfbff69f58c927017beced89
Time: 2013-12-10
Author: jsalvatier@gmail.com
File Name: pymc/tests/test_distributions.py
Class Name:
Method Name: check_dlogp
Project Name: pyprob/pyprob
Commit Name: 68759527b6e4531be9dd03fae3d3b20cff6178be
Time: 2018-04-01
Author: atilimgunes.baydin@gmail.com
File Name: pyprob/distributions.py
Class Name: Empirical
Method Name: map
Project Name: pymc-devs/pymc3
Commit Name: 32eb4d6faa3916d1cfbff69f58c927017beced89
Time: 2013-12-10
Author: jsalvatier@gmail.com
File Name: pymc/tests/test_distributions.py
Class Name:
Method Name: check_logp