semvec/pypi-packages huggingface dataset:
dfrun 0.1.5
Code copier for multi experiments

# DFRUN
### gadget for dl experiments

##### What it does:

1. create a folder to copy all the code in the current directory to freeze one training process
2. switch to the working path to the folder created, and run the command
3. if gpu resources is needed, nvidia-ml-py package is needed. 
In python 2.x, `pip install nvidia-ml-py`, while in 
python 3.x, `pip install nvidia-ml-py3 `

##### Dependencies:

​	Code is tested on python 3.4 and it's supposed to run in python 3 environment.

##### Install:

```python
pip install dfrun
```

or clone this repository and run:

```
python setup.py install
```



##### Usage:

```bash
dfrun -d [experiment folder] -n [experiment name] -g [NUMxMEM] [command]
```

##### What does the project folder look like:

Proj

   |__ [CODE FILES]

   |__ .dfignore (contains the files/folders ignored in the copy process)

   |__ Experiment Folder (--exp-dir -d)

​                         |__ Experiment Name (--exp-name -n)

​                         |                     |__ [CODE FILES COPIED]

​                         | Other Exp Names....                        

##### Contact: 

mayeoliver@163.com
pysnip 1.2.2
Python snippets

# pysnip
Python snippets, easily accessable.

# upload a file

    python -m pysnip main.py --name my_package --author me

# upload code

    from pysnip import client

    client.publish("my_package", "password", "test = 'here'\nprint('hello world')", "me")

# import

    from pysnip import hello_world # finds closest match from server

    hello_world.hello()