Closed phi-friday closed 4 months ago
passed all tests in local. (arm mac)
❯ poetry run pip freeze
alabaster==0.7.16
anyio==4.4.0
appnope==0.1.4
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==2.4.1
async-lru==2.0.4
attrs==23.2.0
Babel==2.15.0
-e git+ssh://git@github.com/phi-friday/BayesianOptimization.git@21cd18cd95996db9745093d6a3de40d1b531ffa5#egg=bayesian_optimization
beautifulsoup4==4.12.3
bleach==6.1.0
certifi==2024.7.4
cffi==1.16.0
charset-normalizer==3.3.2
colorama==0.4.6
comm==0.2.2
contourpy==1.2.1
coverage==7.5.4
cycler==0.12.1
debugpy==1.8.2
decorator==5.1.1
defusedxml==0.7.1
docutils==0.20.1
executing==2.0.1
fastjsonschema==2.20.0
fonttools==4.53.1
fqdn==1.5.1
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
imagesize==1.4.1
iniconfig==2.0.0
ipykernel==6.29.5
ipython==8.18.1
ipywidgets==8.1.3
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.4
joblib==1.4.2
json5==0.9.25
jsonpointer==3.0.0
jsonschema==4.22.0
jsonschema-specifications==2023.12.1
jupyter==1.0.0
jupyter-console==6.6.3
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.2
jupyter_core==5.7.2
jupyter_server==2.14.1
jupyter_server_terminals==0.5.3
jupyterlab==4.2.3
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.2
jupyterlab_widgets==3.0.11
kiwisolver==1.4.5
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.9.1
matplotlib-inline==0.1.7
mdit-py-plugins==0.4.1
mdurl==0.1.2
mistune==3.0.2
myst-parser==3.0.1
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nbsphinx==0.9.4
nest-asyncio==1.6.0
notebook==7.2.1
notebook_shim==0.2.4
numpy==2.0.0
overrides==7.7.0
packaging==24.1
pandocfilters==1.5.1
parso==0.8.4
pexpect==4.9.0
pillow==10.4.0
platformdirs==4.2.2
pluggy==1.5.0
prometheus_client==0.20.0
prompt_toolkit==3.0.47
psutil==6.0.0
ptyprocess==0.7.0
pure-eval==0.2.2
pycparser==2.22
pydocstyle==6.3.0
Pygments==2.18.0
pyparsing==3.1.2
pytest==8.2.2
pytest-cov==4.1.0
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
PyYAML==6.0.1
pyzmq==26.0.3
qtconsole==5.5.2
QtPy==2.4.1
referencing==0.35.1
requests==2.32.3
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rpds-py==0.18.1
scikit-learn==1.5.1
scipy==1.13.1
Send2Trash==1.8.3
setuptools==70.2.0
six==1.16.0
sniffio==1.3.1
snowballstemmer==2.2.0
soupsieve==2.5
Sphinx==7.3.7
sphinx-rtd-theme==2.0.0
sphinxcontrib-applehelp==1.0.8
sphinxcontrib-devhelp==1.0.6
sphinxcontrib-htmlhelp==2.0.5
sphinxcontrib-jquery==4.1
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==1.0.7
sphinxcontrib-serializinghtml==1.1.10
stack-data==0.6.3
terminado==0.18.1
threadpoolctl==3.5.0
tinycss2==1.3.0
tornado==6.4.1
traitlets==5.14.3
types-python-dateutil==2.9.0.20240316
uri-template==1.3.0
urllib3==2.2.2
wcwidth==0.2.13
webcolors==24.6.0
webencodings==0.5.1
websocket-client==1.8.0
widgetsnbextension==4.0.11
add new test action variable numpy-version
passed all tests in github.
https://github.com/phi-friday/BayesianOptimization/actions/runs/9838712868
Generally looks good to me, could you maybe adjust the name of the job to make clear what the numbers refer to? See e.g. here on how to do that.
Generally looks good to me, could you maybe adjust the name of the job to make clear what the numbers refer to? See e.g. here on how to do that.
like this?
jobs:
build:
name: Python ${{ matrix.python-version }} - numpy ${{ matrix.numpy-version }}
Generally looks good to me, could you maybe adjust the name of the job to make clear what the numbers refer to? See e.g. here on how to do that.
like this?
jobs: build: name: Python ${{ matrix.python-version }} - numpy ${{ matrix.numpy-version }}
example: https://github.com/phi-friday/BayesianOptimization/actions/runs/9839301603
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 94.68%. Comparing base (
f2c720e
) to head (cd937e2
). Report is 1 commits behind head on master.
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Thanks for you contribution @phi-friday!
@bwheelz36 I would propose merging this and making a new release before we merge #447. Ideally we can also include #489 in the release.
thanks for your contribution!
https://github.com/bayesian-optimization/BayesianOptimization/issues/490#issue-2394383006