semvec/pypi-packages huggingface dataset:
micro-ci 0.1.2
Micro-CI: A minimalist runner for GitLab CI configurations.
Requires Python: >=3.5, <4
Keywords: development

# Micro-CI

_Micro-CI_ is a tiny package that allow you to run entire continuous integration
(CI) pipelines locally, without having to run all commands manually or
maintaining separate scripts for it.

> :warning: This project is still in _alpha_ stage. This means that interfaces
might change more often than expected. If you have any kind of issue, please
drop me a line: [edgar.klenske@gauss-ml.com](mailto:edgar.klenske@gauss-ml.com).

## Introduction

Have you ever pushed to a git repository, just to see one component of the CI
pipeline fail? The next time you run `pylint`, `mypy`, `flake8` and all the
other tools manually before pushing changes. Maybe you have created a script. Or
you even set up pre-commit hooks to run things automatically. But once something
changes in the CI pipeline, you have to update your pre-commit hooks again.
That's a waste of time!

Micro-CI reads the GitLab CI configuration file `.gitlab-ci.yml` and lets you
run all stages with one command. Therefore, your local dry-run is always
consistent with the "official" CI pipeline.

## Getting Started

You can install _Micro-CI_ with PIP easily:
```bash
pip install micro-ci
```

From now on, you can just run `mci` in the folder where your `.gitlab-ci.yml`
file is located.

`mci` runs in the context `merge_request`, so that all those stages should be
executed that are run in a merge request pipeline.
automl-lib 0.0.1
automl fm dnn deepFM in config file
Requires Python: >=3.6

# 使用方法，对外提供两个方法build_framework，export_saved_model
'''
# -*- coding: utf-8 -*-
# @Author : Zip
# @Time   : 2020/12/18|12:53
# @Moto   : Knowledge comes from decomposition
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import warnings
from lib.estimator import build_framework
from lib.export import export_saved_model
import argparse

warnings.filterwarnings('ignore')


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--config_file", default="conf/job_sort_with_fm_with_two_feature.yaml")
    args = parser.parse_args()

    build_framework(args.config_file)
    # export_saved_model(args.config_file)


if __name__ == '__main__':
    main()


'''
automl-zip 0.0.1
automl fm dnn deepFM in config file
Requires Python: >=3.6

# 使用方法，对外提供两个方法build_framework，export_saved_model
'''
# -*- coding: utf-8 -*-
# @Author : Zip
# @Time   : 2020/12/18|12:53
# @Moto   : Knowledge comes from decomposition
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import warnings
from lib.estimator import build_framework
from lib.export import export_saved_model
import argparse

warnings.filterwarnings('ignore')


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--config_file", default="conf/job_sort_with_fm_with_two_feature.yaml")
    args = parser.parse_args()

    build_framework(args.config_file)
    # export_saved_model(args.config_file)


if __name__ == '__main__':
    main()


'''
example-pkg-bradmorg 0.0.2
A small example package
Requires Python: >=3.6

# https://packaging.python.org/tutorials/packaging-projects/

```
touch LICENSE, README.md, setup.py
```

```
python -m pip install --user --upgrade setuptools wheel twine
python setup.py sdist bdist_wheel
```

```
python -m twine upload --repository pypi dist/*
```

```
pip install example-pkg-bradmorg
```