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.ninja*
build.ninja
dist
src/lasp.egg-info
test/.ipynb_checkpoints
src/lasp/lasp_config.h
_deps
compile_commands.json
CMakeFiles
@ -20,4 +23,3 @@ doc
acme_log.log
.venv
.py-build-cmake_cache
cpp_src/lasp_config.h

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# Library for Acoustic Signal Processing
- Master branch: [![Build Status](https://drone.ascee.nl/api/badges/ASCEE/lasp/status.svg?ref=refs/heads/master)](https://drone.ascee.nl/ASCEE/lasp)
- Develop branch: [![Build Status](https://drone.ascee.nl/api/badges/ASCEE/lasp/status.svg?ref=refs/heads/develop)](https://drone.ascee.nl/ASCEE/lasp)
Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library
with a Python interface which is supposed to acquire and process (multi) sensor data in real time on a PC and output results.
@ -43,48 +46,41 @@ in a sister repository [lasp-doc](https://code.ascee.nl/ascee/lasp-doc).
If you have any question(s), please feel free to contact us: [email](info@ascee.nl).
# Installation - Linux (Ubuntu-based)
# Installation - Linux (Debian-based)
## From wheel (recommended for non-developers)
## Dependencies
### Prerequisites
One-liner:
Run the following on the command line to install all prerequisites on
Debian-based Linux:
- `$ sudo apt install python3-pybind11 libopenblas-dev python3-pip python3-scipy libusb-1.0-0-dev libpulse-dev cmake-curses-gui python3-h5py python3-dataclasses-json python3-matplotlib python3-appdirs`
- `sudo apt install python3-pip libfftw3-3 libopenblas-base libusb-1.0-0
libpulse0`
### Download and install LASP
Go to: [LASP releases](https://code.ascee.nl/ASCEE/lasp/releases/latest/) and
download the latest `.whl`. Then run:
- `pip install lasp-*-linux_x86_64.whl`
## From source (Ubuntu-based)
### Prerequisites
Run the following one-liner:
- `sudo apt install -y git python3 python3-virtualenv python3-venv libopenblas-dev python3-pip libfftw3-dev libusb-1.0-0-dev libpulse-dev python3-build`
If building RtAudio with the ALSA backend, you will also require the following packages:
- `sudo apt install libclalsadrv-dev`
- libclalsadrv-dev
If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
- `sudo apt install libjack-jackd2-dev`
- libjack-jackd2-dev
### Download & build
## Download & build
- `$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git`
- `$ cd lasp`
- `pip install -e .`
# Installation - (x86_64) Windows (with WinPython), build with MSYS2 (NOT YET UPDATED!!)
For a release build:
- `$ cmake .`
or optionally for a custom build:
- `$ ccmake .`
Configure and run:
- `$ make -j`
# Installation - (x86_64) Windows (with WinPython), build with MSYS2
## Prerequisites
@ -117,11 +113,7 @@ If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will
# Documentation
## Online
[Online LASP documentation](https://lasp.ascee.nl/).
## In directory
In directory:
`$ sudo apt install doxygen graphviz`
`$ pip install doxypypy`
@ -134,7 +126,21 @@ This will build the documentation. It can be read by:
`$ <YOUR-BROWSER> doc/html/index.html`
# Usage
Or via docker:
`$ docker build -t lasp_ascee_nl:latest .`
## Install
For an editable install (while developing):
- `$ pip3 install --prefix=$HOME/.local -e .`
To install locally, for a fixed version:
- `$ pip3 install --prefix=$HOME/.local`
## Usage
- See examples directories for IPython notebooks.
- Please refer to the [documentation](https://lasp.ascee.nl/) for features.

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]
urls = { "Documentation" = "https://lasp.ascee.nl" }
dependencies = ["scipy", "numpy", "matplotlib>=3.7.2", "appdirs",
"dataclasses_json", "h5py"]
dependencies = ["scipy", "numpy", "matplotlib>=3.7.2", "appdirs", "dataclasses_json",
"h5py", "pybind11"]
[build-system] # How pip and other frontends should build this project
requires = ["py-build-cmake~=0.1.8", "pybind11" ]

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"""
# Error with dbm in Pyinstaller
# https://stackoverflow.com/questions/45670104/how-to-fix-the-no-dbm-clone-found-error-in-pyinstaller
import dbm.dump
from .lasp_version import __version__
from .lasp_common import *

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