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Update CI and script

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This commit is contained in:
Jactus
2020-12-14 18:08:24 +08:00
committed by you-n-g
parent 6b8824dd29
commit cb0b6fcdaa
2 changed files with 56 additions and 33 deletions
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86
.github/workflows/test.yml vendored
View File

@@ -22,9 +22,58 @@ jobs:
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Lint with Black
run: |
cd ..
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe -m pip install black
$CONDA\\python.exe -m black qlib -l 120 --check --diff
else
sudo $CONDA/bin/python -m pip install black
$CONDA/bin/python -m black qlib -l 120 --check --diff
fi
shell: bash
# Test Qlib installed with pip
- name: Install Qlib with pip
run: |
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe -m pip install pyqlib --ignore-installed ruamel.yaml --user
else
sudo $CONDA/bin/python -m pip install pyqlib --ignore-installed ruamel.yaml
fi
shell: bash
- name: Install dependencies
run: |
- name: Install Lightgbm for MacOS
if: runner.os == 'macOS'
run: |
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Microsoft/qlib/main/.github/brew_install.sh)"
HOMEBREW_NO_AUTO_UPDATE=1 brew install lightgbm
- name: Test data downloads
run: |
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/cn_data --interval 1d --region cn
else
$CONDA/bin/python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/cn_data --interval 1d --region cn
fi
shell: bash
- name: Test workflow by config (install from pip)
run: |
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe qlib\\workflow\\cli.py examples\\benchmarks\\LightGBM\\workflow_config_lightgbm_Alpha158.yaml
$CONDA\\python.exe -m pip uninstall -y pyqlib
else
$CONDA/bin/python qlib/workflow/cli.py examples/benchmarks/LightGBM/workflow_config_lightgbm_Alpha158.yaml
sudo $CONDA/bin/python -m pip uninstall -y pyqlib
fi
shell: bash
# Test Qlib installed from source
- name: Install Qlib from source
run: |
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe -m pip install --upgrade cython
$CONDA\\python.exe -m pip install numpy jupyter jupyter_contrib_nbextensions
@@ -36,13 +85,7 @@ jobs:
sudo $CONDA/bin/python -m pip install -U scipy scikit-learn # installing without this line will cause errors on GitHub Actions, while instsalling locally won't
sudo $CONDA/bin/python setup.py install
fi
shell: bash
- name: Install Lightgbm for MacOS
if: runner.os == 'macOS'
run: |
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Microsoft/qlib/main/.github/brew_install.sh)"
HOMEBREW_NO_AUTO_UPDATE=1 brew install lightgbm
shell: bash
- name: Install test dependencies
run: |
@@ -54,16 +97,6 @@ jobs:
sudo $CONDA/bin/python -m pip install black pytest
fi
shell: bash
- name: Lint with Black
run: |
cd ..
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe -m black qlib -l 120 --check --diff
else
$CONDA/bin/python -m black qlib -l 120 --check --diff
fi
shell: bash
- name: Unit tests with Pytest
run: |
@@ -73,22 +106,13 @@ jobs:
else
$CONDA/bin/python -m pytest . --durations=0
fi
shell: bash
shell: bash
- name: Test data downloads
run: |
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/cn_data --interval 1d --region cn
else
$CONDA/bin/python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/cn_data --interval 1d --region cn
fi
shell: bash
- name: Test workflow by config
- name: Test workflow by config (install from source)
run: |
if [ "$RUNNER_OS" == "Windows" ]; then
$CONDA\\python.exe qlib\\workflow\\cli.py examples\\benchmarks\\LightGBM\\workflow_config_lightgbm_Alpha158.yaml
else
$CONDA/bin/python qlib/workflow/cli.py examples/benchmarks/LightGBM/workflow_config_lightgbm_Alpha158.yaml
fi
shell: bash
shell: bash

3
examples/run_all_model.py
View File

@@ -68,10 +68,9 @@ def only_allow_defined_args(function_to_decorate):
def handler(signum, frame):
os.system("kill -9 %d" % os.getpid())
signal.signal(signal.SIGTSTP, handler)
signal.signal(signal.SIGINT, handler)
# function to calculate the mean and std of a list in the results dictionary
def cal_mean_std(results) -> dict:
mean_std = dict()