Configure Python to Yaml.
Project description
BluePrint
BluePrint is a light-weight tool that helps configure Python objects with YAML files.
Its ml functionality requires to install PyTorch first.
Installation is simple:
pip install py-blueprint
Or you can checkout its source code from https://github.com/YANG-H/BluePrint. And install it with
python setup.py install
There is a simple sample code in the repository. Run it with:
python -m blueprint.run sample/hello_world/simple_run.yaml --name AnythingYouLike
If GPU is available and PyTorch is installed, you can also run a distributed version:
python -m blueprint.run sample/hello_world/distributed_run.yaml --name AnythingYouLike
BluePrint is in very early construction. Please contact me at yanghao.alexis@foxmail.com or raise issues for bug reporting and other suggestions.
License
BluePrint is released under the MIT license.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file py-blueprint-0.0.1.post2.tar.gz.
File metadata
- Download URL: py-blueprint-0.0.1.post2.tar.gz
- Upload date:
- Size: 43.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f947397a5a29f2486d73c749108782691c266e941038d793308faf80b3a616a5
|
|
| MD5 |
37bcd97f32cd0f1281ddb9e3d6338f08
|
|
| BLAKE2b-256 |
219055320f372a37ef174a42c342ab6713ce6de0b2613df327b499108dc96414
|
File details
Details for the file py_blueprint-0.0.1.post2-py3-none-any.whl.
File metadata
- Download URL: py_blueprint-0.0.1.post2-py3-none-any.whl
- Upload date:
- Size: 69.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
df986ff10593587374366fc690e4b1cdf7242d10708ebc3c307deab7c14574f4
|
|
| MD5 |
18b63967c433fdbfa5837776a5d0fe2b
|
|
| BLAKE2b-256 |
f7e97fd5b24eeb3b86d382512053c10ee2ba139fcfe4ccfa5d544744a62bd351
|
