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توضیحات

A command line utility that runs your command line scripts from a yaml script

ویژگی	مقدار
سیستم عامل	-
نام فایل	dave-0.9.0
نام	dave
نسخه کتابخانه	0.9.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Ge Yang
ایمیل نویسنده	yangge1987@gmail.com
آدرس صفحه اصلی	https://github.com/episodeyang/dave
آدرس اینترنتی	https://pypi.org/project/dave/
مجوز	-

``Dave``, a command line utility that runs your script with arguments load from a Yaml file =========================================================================================== 🔥 💥\ **Now ``Dave`` supports both python ``3.5`` and ``3.6``!** 🌟 ✨ ⚡️ ``Dave`` is a command line utility for your experiments. It manages concurrent runs, command line arguments and other stuff nicely for you! The things it manages include: - generating run-specific variables, like ``{time}`` and ``{cwd}`` that you can access as template keys in your string. - maximum numbers of concurrent runs (via python ``multiprocess.Pool``) - environment variables (env) such as ``DISPLAY=:1``. You can also passing a file - **default arguments** - **batch arguments** for multiple experiments - **pre-launch** scripts that is ran only once for each batch - **at-launch** script that is run at the launch time of each experiment - **post-launch** script that is as soon as each experiment launches - **post-run** scripts that happens after each experiment is done. ``Dave`` works with all of your current work flow and it doesn't lock you into a specific way of doing things. You still get to use bash scripts or Makefile's. Why do we use YAML (with JSON planned as well)? My bash script is just fine! ---------------------------------------------------------------------------- Because YAML(and json) are human **and** machine readable whereas base arguments are **not**. When is the last time you looked at a bash script looking for hyper-parameters, only to realized that some key parameters are missing? With ``Dave`` you won't have this problem. You can save all of the past and current runs as nicely readable YAML files(or json, Hjson Cson if you speak coffee script, whatever). - if you are writing a report, you can include these YAML/json/cson files directly into markdown or latex. - To see what you ran last night, you can ``glob`` all of the configurations with ``runs/**/experiment.yml`` and make nice tables in an instant. - To run a full batch of experiments, you can type ``default_args`` just ones, and then only repeat the fields that is different between each run. Most importantly, ``Dave`` wants to establish a standard command line tool for machine learning work, and having a standard ``run.config.yml`` is just the first step! Why is ``Dave`` named "Dave"? ----------------------------- It started out as an inside joke. Dave is my beloved adviser, and I thought it would be funny to ``dave --config-file "load_electrons.yml"``. How shall I use ``Dave``? ------------------------- First thing first, you should ``alias`` ``Dave`` with whoever you want to call to run your experiments 😀 Recommended names include but not limited to - Michael - Fei-fei - Anna - Sasha - Michael - Michael - Michael (k. only if you are in med school...) but I recommend lower-case only since it is after all... a command line app. After aliasing this after your favorite person, you can follow the examples bellow :) Note that `**batteries are included** <https://www.facebook.com/episodeyang/videos/10101189402110434/>`__, and your mileage will vary. Example Usage ------------- First install via ``pip`` (it's that simple!!) .. code-block:: bash pip install dave Suppose you have the following folder structure :: ├── your_thesis └── MAML_tensorflow ├── README.md ├── experiment.yml ├── maml.py └── models ├── __init__.py └── mlp.py where the experiment.yml file looks like this: .. code-block:: yaml %YAML 1.2 --- config: max_concurrent: 10 env: PYTHONPATH: test_directory run: | {env} python maml_bradly.py {args} default_args: npts: 100 num_epochs: 70000 num_tasks: 10 num_grad_steps: 1 num_points_sampled: 10 fix_amp: False batch_args: # use good typing convention here - num_tasks: 10 num_grad_steps: 1 num_points_sampled: 10 - num_tasks: 10 num_grad_steps: 4 num_points_sampled: 20 tmp: - last_run: 10 Now under the project root, you can just run .. code-block:: bash dave --config-file "experiment.yml" and it will automatically run the experiment twice, using the arguments in the ``batch_args`` field of the Yaml configuration file. ## To Develop first download from github. Then under project folder, run (you also need to install the packages). .. code-block:: bash make dev test Bucket List ~~~~~~~~~~~ - [ ] Allow extensions - [ ] work on windows - [ ] allow env files - [ ] daemon mode Happy Doing Science! -------------------- .. figure:: https://github.com/episodeyang/dave/blob/master/figures/phd092316s.gif?raw=true :alt: one-more-experiment one-more-experiment

نیازمندی

مقدار	نام
-	munch
-	params-proto
-	pathlib
-	pathos
-	ruamel.yaml

نحوه نصب

نصب پکیج whl dave-0.9.0:

pip install dave-0.9.0.whl

نصب پکیج tar.gz dave-0.9.0:

pip install dave-0.9.0.tar.gz