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81%
master: 84%

Ran 06 Feb 2020 11:18PM CUT

Files 280

Run time 28s

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Committed 06 Feb 2020 10:37PM CUT coverage: 81.392% (+0.01%) from 81.38%

Job # 2670.14

Build Type

Pull #813

travis-ci-com

Committed by

web-flow

Commit Message

Cleanup travis config

This commit makes a few small changes to simplify the travis
configuration. The first thing it does is decouple the pypi upload job
from the common test setup config. There is no reason to build aer and
terra from source or install all the dependencies explicitly as part of
the release workflow. Building and sdist and wheel will take care of any
dependencies that need to be installed as part of the build process, run
time dependencies are not needed. Then it changes the pypi job version
to 3.7 while it's being modified just so we don't have to worry about it
later when 3.6 goes EoL in 2021. The last thing done here is that with
the release of stestr 2.6.0 in Decemeber the workaround for
https://github.com/mtreinish/stestr/issues/266 is no longer needed
because the issue has been fixed.

Pull Request Pull Request #813: Cleanup travis config

Run Details

13345 of 16396 relevant lines covered (81.39%)

0.81 hits per line

Source Files on job 2670.14

Coverage	File	Lines	Relevant	Covered	Missed	Hits/Line
15.85	qiskit/aqua/circuits/polynomial_rotation.py	171 + 88	82 + 37	13 - 2	69 + 39	1.0
20.24	qiskit/aqua/utils/random_matrix_generator.py	375 + 305	168 + 136	34 + 3	134 + 133	1.0 - 60
22.73	...ty_models/multivariate_variational_distribution.py	84 + 56	44 + 28	10 - 6	34 + 34	1.0
22.86	...nty_models/multivariate_log_normal_distribution.py	85 + 72	35 + 28	8 + 5	27 + 23	1.0
25.0	qiskit/aqua/utils/tensor_product.py	44 + 29	12 + 4	3 - 1	9 + 5	1.0
26.06	...it/aqua/algorithms/classical/cplex/simple_cplex.py	329 + 322	165 + 161	43 + 39	122 + 122	1.0
35.0	...tainty_models/multivariate_uniform_distribution.py	57 - 25	20 - 17	7 - 16	13 - 1	1.0
38.95	qiskit/ml/datasets/gaussian.py	135 + 81	95 + 64	37 + 26	58 + 38	1.0
39.13	...skit/aqua/circuits/gates/relative_phase_toffoli.py	135 + 120	69 + 59	27 + 22	42 + 37	1.0
43.78	qiskit/ml/datasets/ad_hoc.py	303 + 249	217 + 189	95 + 83	122 + 106	1.0

81.39
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master: 84%

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