semvec/pypi-packages huggingface dataset:
automl-meta-learning 0.1.0
Brandos automl project
License: MIT
Requires Python: >=3.9.0

# 


## Installing

## Standard pip instal [Recommended]

TODO

If you are going to use a gpu the do this first before continuing 
(or check the offical website: https://pytorch.org/get-started/locally/):
```angular2html
pip3 install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
```
Otherwise, just doing the follwoing should work.
```
pip install automl
```
If that worked, then you should be able to import is as follows:
```
import automl
```

## Manual installation [Development]

To use library first get the code from this repo (e.g. fork it on github):

```
git clone git@github.com/brando90/automl-meta-learning.git
```

Then install it in development mode in your python env with python >=3.9
(read `modules_in_python.md` to learn about python envs in uutils).
E.g. create your env with conda:

```
conda create -n metalearning python=3.9
conda activate metalearning
```

Then install it in edibable mode and all it's depedencies with pip in the currently activated conda environment:

```
pip install -e ~/automl-meta-learning/automl-proj-src/
```

since the depedencies have not been written install them:

```
pip install -e ~/ultimate-utils/ultimate-utils-proj-src
```

then test as followsing:
```
python -c "import uutils; print(uutils); uutils.hello()"
python -c "import meta_learning; print(meta_learning)"
python -c "import meta_learning; print(meta_learning); meta_learning.hello()"
```
output should be something like this:
```
(metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import uutils; print(uutils); uutils.hello()"
<module 'uutils' from '/Users/brando/ultimate-utils/ultimate-utils-proj-src/uutils/__init__.py'>

hello from uutils __init__.py in:
<module 'uutils' from '/Users/brando/ultimate-utils/ultimate-utils-proj-src/uutils/__init__.py'>

(metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import meta_learning; print(meta_learning)"
<module 'meta_learning' from '/Users/brando/automl-meta-learning/automl-proj-src/meta_learning/__init__.py'>
(metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import meta_learning; print(meta_learning); meta_learning.hello()"
<module 'meta_learning' from '/Users/brando/automl-meta-learning/automl-proj-src/meta_learning/__init__.py'>

hello from torch_uu __init__.py in:
<module 'uutils.torch_uu' from '/Users/brando/ultimate-utils/ultimate-utils-proj-src/uutils/torch_uu/__init__.py'>

```
python-zbase32 0.1.1
A human-oriented base-32 encoding.
License: MIT
Requires Python: >=3.10,<4.0

# zbase32

A human-oriented base-32 encoding.

## 🛠 Installing

## poetry

```
poetry add python-zbase32
```

## pip

```
pip install python-zbase32
```

## 🎓 Usage

```pycon
>>> import zbase32
>>> zbase32.encode(b"asdasd")
'cf3seamuco'
>>> zbase32.decode("cf3seamu")
b"asdas"
```

## 🔧  Development

| Command           | Description                           |
| ----------------- | ------------------------------------- |
| `make bootstrap`  | install project dependencies          |
| `make ci`         | run continuous integration tasks      |
| `make console`    | open a repl console                   |
| `make format`     | format all source files               |
| `make setup`      | setup the project after a `git clone` |
| `make test`       | run the applications test suite       |
| `make update`     | update the project after a `git pull` |

## ⚖️ Licence

This project is licensed under the [MIT licence](http://dan.mit-license.org/).

All documentation and images are licenced under the 
[Creative Commons Attribution-ShareAlike 4.0 International License][cc_by_sa].

[cc_by_sa]: https://creativecommons.org/licenses/by-sa/4.0/

## 📝 Meta

This project uses [Semantic Versioning](http://semver.org/).