semvec/pypi-packages huggingface dataset:
pyetaler 0.0.6
A high performance implementation of Numenta's HTM algorithms
License: bsd-3-clause
Keywords: HTM,Hierarchical Temporal Memory,Numenta,AI,SDRsparse distributed representation,bioinspired

# PyEtaler

This is the offical Python binding for Etaler. PyEtaler generates Python binging using [cppyy](https://cppyy.readthedocs.io/en/latest/) and adds additional feature on top of the automatically generated bindings.


**Note:** As of now, installing cppyy (thus PyEtaler) will cause [ROOT](https://root.cern.ch) to fail to load due to dependency clash.

## Installation

**Note:** You must have Etaler and cppyy installed globally before building the binding.
**Note:** Since the binding is generated to load the actual Etaler installation. You'll need to re-compile the binding everytime Etaler is updated.

If you are building from source (building via directly interacting with the generator).

```shell
pip install cppyy # must installed globally
python3 genbinding.py
cp *.so etaler/
cp *.pcm etaler/
# Then copy the resulting files into your package directory
```

Locally build via PIP

```shell
pip3 install .
```

Alternativelly you can install it directly via PyPI.

```shell
pip install pyetaler
```

## Usage

After installation, you can use Etaler from python. The API is exactly like it is in C++.

```python
>>> from etaler import et
>>> et.ones([2, 2])
{{ 1, 1}, 
 { 1, 1}}
>>> sp = et.SpatialPooler([128], [32])
>>> x = et.encoder.scalar(0.1, 0, 1, 128, 12)
>>> sp.compute(x)
{ 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0}
```

## Caveats

PyEtaler tries it's best to make the Python API similar to the C++ API (so ou can use the C++ documents as the Python document). There are some caveats. A few changes are made in an effort to make the Python API Pythonic. The changes are:

#### Tensor.toHost and Tensor.item are not templates

Since Python is a dynamically typed language. There's really no point have functions maintaining a template. Your code in C++

```C++
auto t = et::ones({4,4});
auto vec = t.toHost<int>()
```

becomes

```Python
t = et.ones([4,4])
vec = t.toHost()
```

#### No more brace arround tensor indices

It is quite annoning having to have extra braces when indexing. So we removed them in Python!

```C++
auto t = et::ones({4,4});
auto q = t[{2, 2}];
```

becomes

```Python
t = et.ones([4,4])
q = t[2, 2]
```

#### Logical operators doesn't work

Due to how Python works. It is impossible to provide the logical operators in the wrapper.

```C++
auto r = t && q;
```

Should have become:

```Python
r = t and q
```

But instead of mapping `operator &&`. Python will try casting `et.Tensor` into a `bool` then performing the and operation.
So instead of using `and`. Please use the `logical_and` function.

```Python
r = et.logical_and(t, q)
```

### Hacking PyEtaler

In case that you need to use C++ STL - maybe because the wrapper is doing something stupid. You can access the STL using `etaler.std`.

For example

```Python
>>> from etaler import std
>>> std.vector[int](10)
<cppyy.gbl.std.vector<int> object at 0x1ef112c0>
```