crawlingcub
crawlingcub
The test `testSamplePairWithUnevenProbabilities` always fails if the seed setting line is removed. A better way to test might be to check if the sampled value exists in the set of...
I ran your test-suite by removing all seed settings (such as `np.random_seed(0)`) and found that some tests fail quite often. For instance, the test `test_select_best_model_ranking_random` failed 3 out of 500...
This is a fix for the issue mentioned in #1708. It seems the `-inf`s in the output were caused due to over-approximation for the bernoulli distribution. If I understand correctly,...
This is a fix for the flaky test discussed in #731. We found that updating the two assertions in the test reduces the flakiness to ~0%. Please let me know...
Hi, I tried running your tests by removing the seed setting lines (such as `np.random_seed(SEED)` in `umap/tests/conftests.py`. I observed that test `test_grad_metrics_match_metrics` in `test_umap_metrics.py` fails 25/500 times that I ran....
This is a fix for the issue #31. The test was failing when the seed was not set. We observed that increase number of trials to 20 decreases the flakiness...
Hi, I observed that the test `test_calc_bootstrap` sometimes fails when the seed setting line such as `np .random_seed(123)` is removed. It failed 55 times out of 500 times that i...
The test `test_boptim` in `test/test_boptim.py` is flaky when the seed is removed. The test failed 500 out of 500 times that I ran. Interestingly, the test always only fails for...
Hi, The test `test_gmres_on_larger_random_problem` in `tensornetwork/backends/numpy/numpy_backend_test.py` [link](https://github.com/google/TensorNetwork/blob/d87ee43b0b9fe589e15d53795f102aa8e7370eb5/tensornetwork/backends/numpy/numpy_backend_test.py#L481) always fails (500 fails out of 500 runs) for `[float16]` parameter. The interesting part here is that the `err` and `max(rtol, atol)` are...
Hi, The test `test_randn_non_zero_imag` in `tensornetwork/backends/symmetric/symmetric_backend_test.py` [link](https://github.com/google/TensorNetwork/blob/d87ee43b0b9fe589e15d53795f102aa8e7370eb5/tensornetwork/backends/symmetric/symmetric_backend_test.py#L480) always fails when the seeds are removed. The test only fails for parameters: `[2-complex64-2]` and `[2-complex128-2]`, but passes for all other parameters. In...