Comments (3)
Secondary issue: the automatic tests are hopelessly bad and do almost nothing to ensure that what Crosscat computes is reasonable.
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So far what we have are python tests that segfault, and C++ tests that e.g. don't check for memory leaks, and integration testing via bayeslite. If the python tests worked, it would be easy enough to write a python test to check that the C++ tests passed, which would make it a single command. Thanks for updating the README.rst to reflect how to run the C++ tests!
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Fixed in c14344e.
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Related Issues (20)
- test_multiple_col_ensure.py is stochastic
- pls help run on windows 10 machine with anaconda python 2.7 HOT 3
- dha_example_multiprocessing HOT 1
- missing dependencies / environment compatibilities HOT 5
- rename pypi package: CrossCat -> crosscat
- How to sample from the posterior HOT 12
- Is it possible to engage more than one core? HOT 5
- .
- How to avoid collapsing to one view?
- Prevent test suite from generating matplotlib figures using X11-based backend HOT 3
- cannot import crosscat.LocalEngine HOT 1
- Allow multistate queries in sample_utils to utilize multiprocessing
- Python 3 compatibility HOT 1
- Hadoop state non-functional HOT 9
- continuous component model can't handle constant column HOT 1
- Crosscat hyperprior grid on variance parameter is broader than it needs to be HOT 9
- Crosscat should use 256-bit seeds
- "pip install crosscat" fails HOT 3
- Crosscat build fails in anaconda environment: "cpp_code/src/weakprng.cpp:314:38: error: βUINT64_Cβ was not declared in this scope~ HOT 6
- Multistate conditional sampling is inaccurate HOT 3
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