==========
Command line interface to [brains](http://github.com/dev-coop/brains)
installation
============
```pip install brains```
usage
=====
##### `> brains init`
asks for user information and how to run the program, saves to `brains.yaml` in current directory
##### `> brains push [--dataset iris] [--description "My first try"] [--dont-wait-up]`
requires `brains init` first. collects local source and pushes to server. `--dont-wait` will make the call return immediately and not wait for results
##### `> brains results`
TODO: Opens up results in browser
`brains.yaml` examples
==================
Hello world
```
run: python hello_world.py
content: hello_world.py
```
Hello world with glob file pattern
```
run: python hello_world.py
content: *.py
```
Hello world multiple individual files AND glob patterns
```
run: python hello_world.py
content:
- hello_world.py
- test_hello_world.py
- yo_momma.dataset
- src/*.py
```
# TODO
- [ ] finish `get` command where to save it?
- [ ] `brains run` should fetch dataset/cache it properly (use name not UUID)
- [ ] TODO: Opens up results in browser/go to browser with current config already setup?
- [x] change `init` to automatically put every file in contents except brains history
- [x] support multiple datasets
- [ ] add `brains datasets` to list datasets
Metadata
Release files for brains 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| brains-0.0.5.tar.gz | 4.2 kB | Without provenance | Details for brains-0.0.5.tar.gz |
Release files / brains-0.0.5.tar.gz
| Download URL | brains-0.0.5.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cd50fc907261b59797e021beb0274cbac491e36d293164261dcfbafa77d3acdd
|
|
BLAKE2b-256 checksum How to use checksums |
c8b53ae5abaa7f0e1137505b0745813fd8b101614a2816249317ecf0e2ce3ed4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for brains 0.0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.