batcharray 0.0.3

Description:

batcharray 0.0.3

batcharray



























































Overview
batcharray is lightweight library built on top of NumPy
to manipulate nested data structure with NumPy arrays.
This library provides functions for arrays where the first axis is the batch axis.
It also provides functions for arrays representing a batch of sequences where the first axis
is the batch axis and the second axis is the sequence axis.

Motivation
Documentation
Installation
Contributing
API stability
License

Motivation
Let's imagine you have a batch which is represented by a dictionary with three arrays, and you want
to take the first 2 items.
batcharray provides the function slice_along_batch that allows to slide all the arrays:
>>> import numpy as np
>>> from batcharray.nested import slice_along_batch
>>> batch = {
... "a": np.array([[2, 6], [0, 3], [4, 9], [8, 1], [5, 7]]),
... "b": np.array([4, 3, 2, 1, 0]),
... "c": np.array([1.0, 2.0, 3.0, 4.0, 5.0]),
... }
>>> slice_along_batch(batch, stop=2)
{'a': array([[2, 6], [0, 3]]), 'b': array([4, 3]), 'c': array([1., 2.])}

Similarly, it is possible to split a batch in multiple batches by using the
function split_along_batch:
>>> import numpy as np
>>> from batcharray.nested import split_along_batch
>>> batch = {
... "a": np.array([[2, 6], [0, 3], [4, 9], [8, 1], [5, 7]]),
... "b": np.array([4, 3, 2, 1, 0]),
... "c": np.array([1.0, 2.0, 3.0, 4.0, 5.0]),
... }
>>> split_along_batch(batch, split_size_or_sections=2)
[{'a': array([[2, 6], [0, 3]]), 'b': array([4, 3]), 'c': array([1., 2.])},
{'a': array([[4, 9], [8, 1]]), 'b': array([2, 1]), 'c': array([3., 4.])},
{'a': array([[5, 7]]), 'b': array([0]), 'c': array([5.])}]

Please check the documentation to see all the implemented functions.
Documentation

latest (stable): documentation from the latest stable
release.
main (unstable): documentation associated to the
main branch of the repo. This documentation may contain a lot of work-in-progress/outdated/missing
parts.

Installation
We highly recommend installing
a virtual environment.
batcharray can be installed from pip using the following command:
pip install batcharray

To make the package as slim as possible, only the minimal packages required to use batcharray are
installed.
To include all the dependencies, you can use the following command:
pip install batcharray[all]

Please check the get started page to see how
to install only some specific dependencies or other alternatives to install the library.
The following is the corresponding batcharray versions and tested dependencies.



batcharray
coola
numpy
python




main
>=0.3,<1.0
>=1.22,<3.0
>=3.9,<3.13


0.0.3
>=0.3,<1.0
>=1.22,<3.0
>=3.9,<3.13


0.0.2
>=0.3,<1.0
>=1.22,<2.0
>=3.9,<3.13


0.0.1
>=0.3,<1.0
>=1.22,<2.0
>=3.9,<3.13



* indicates an optional dependency
Contributing
Please check the instructions in CONTRIBUTING.md.
Suggestions and Communication
Everyone is welcome to contribute to the community.
If you have any questions or suggestions, you can
submit Github Issues.
We will reply to you as soon as possible. Thank you very much.
API stability
:warning: While batcharray is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading batcharray to a new version will possibly break any code
that was using the old version of batcharray.
License
batcharray is licensed under BSD 3-Clause "New" or "Revised" license available
in LICENSE file.