Merged in lasp from remote

.drone.yml

@@ -1,90 +0,0 @@
-kind: pipeline
-type: docker
-name: archlinux
-
-clone:
-  depth: 50
-
-steps:
-  - name: archlinux_build
-    image: archlinux_build:latest
-    pull: if-not-exists
-    volumes:
-    - name: archlinux_ccache
-      path: /root/.ccache
-    commands:
-    # The following command is not required, we included this in the docker 
-    # image of archlinux_build
-    # - pacman -S --noconfirm ccache openblas fftw pulseaudio pybind11
-    - git submodule update --init --recursive
-    - cmake .
-    # More than two makes ascee2 irresponsive for now
-    - make -j2
-
-  - name: archlinux_test
-    image: archlinux_build:latest
-    pull: if-not-exists
-    commands:
-      - scripts/test.sh
-
-volumes:
-  - name: archlinux_ccache
-    host:
-      path: /tmp/archlinux_ccache
-
----
-kind: pipeline
-type: docker
-name: ubuntu
-
-clone:
-  depth: 3
-
-volumes:
-- name: archlinux_ccache
-  path: /root/.ccache
-
-steps:
-  - name: ubuntu_build
-    image: ubuntu_build:latest
-    pull: if-not-exists
-    volumes:
-    - name: ubuntu_ccache
-      path: /root/.ccache
-    environment:
-    commands:
-    # The following commands are not required, we included this in the docker 
-    # image of ubuntu_builud
-    - scripts/build_ubuntu.sh
-  - name: ubuntu_test
-    image: ubuntu_build:latest
-    pull: if-not-exists
-    commands:
-    - scripts/test.sh
-
-volumes:
-  - name: ubuntu_ccache
-    host:
-      path: /tmp/ubuntu_ccache
-
----
-kind: pipeline
-type: docker
-name: documentation_build
-
-clone:
-  depth: 3
-
-
-steps:
-  - name: build_docker_master
-    image: plugins/docker
-    settings:
-      repo: ascee/lasp_ascee_nl
-      tags: latest
-      username:
-        from_secret: docker_username
-      password:
-        from_secret: docker_password
-      when:
-        branch: master

.gitea/workflows/workflow.yml

@@ -0,0 +1,51 @@
+name: Building, testing and releasing LASP if it has a tag
+
+on:
+  - push
+
+jobs:
+  Build-Test-Ubuntu:
+    runs-on: ubuntu-latest
+    container: 
+      image: ascee/ubuntu_build:latest
+      volumes:
+        - lasp_dist:/dist
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          submodules: true
+
+      - name: Build and test
+        run: |
+          pip install build pytest
+          python3 -m build
+          pip install dist/lasp*.whl
+          pytest
+
+      - name: Copy dist files to /dist dir
+        run:
+          cp -v dist/* /dist
+
+  Release-Ubuntu:
+    runs-on: ubuntu-latest
+    container:
+      volumes:
+        - lasp_dist:/dist
+    needs: Build-Test-Ubuntu
+    if: startsWith(gitea.ref, 'refs/tags/v')
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: setup go
+        uses: https://github.com/actions/setup-go@v4
+        with:
+          go-version: '1.18'
+      - name: Release
+        uses: https://gitea.com/actions/release-action@main
+        working-directory: "/"
+        with:
+          files: |-
+            ../../../../../dist/**
+          api_key: '${{secrets.RELEASE_TOKEN}}'

.gitignore

@@ -6,23 +6,18 @@
 .ninja*
 build.ninja
 dist
-src/lasp.egg-info
-test/.ipynb_checkpoints
-src/lasp/lasp_config.h
 _deps
 compile_commands.json
 CMakeFiles
 CMakeCache.txt
 cmake_install.cmake
 Makefile
-build
 __pycache__
-cython_debug
 doc
 .ropeproject
 .ipynb_checkpoints
 .spyproject
-.cache
-_skbuild
 acme_log.log
-testenv
+.venv
+.py-build-cmake_cache
+cpp_src/lasp_config.h

.pre-commit-config.yaml

@@ -0,0 +1,18 @@
+---
+repos:
+  - repo: https://github.com/commitizen-tools/commitizen
+    rev: 3.5.3
+    hooks:
+     - id: commitizen
+     - id: commitizen-branch
+       stages: [push]
+
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v2.3.0
+    hooks:
+    - id: end-of-file-fixer
+    - id: trailing-whitespace
+  - repo: https://github.com/psf/black
+    rev: 22.10.0
+    hooks:
+    - id: black

CHANGELOG.md

@@ -0,0 +1,7 @@
+## v1.0.1 (2023-07-19)
+
+### Fix
+
+- Added patch number to semver in pyproject.toml
+
+## v1.0.0 (2023-07-19)

CMakeLists.txt

@@ -1,7 +1,6 @@
 cmake_minimum_required (VERSION 3.16) 
 project(LASP LANGUAGES C CXX VERSION 1.0)
 
-
 set(CMAKE_CXX_STANDARD 17)
 set(CMAKE_CXX_STANDARD_REQUIRED)
 
@@ -121,7 +120,7 @@ include(portaudio)
 include(uldaq)
 # 
 add_definitions(-Dgsl_CONFIG_DEFAULTS_VERSION=1)
-add_subdirectory(src/lasp)
+add_subdirectory(cpp_src)
 if(LASP_BUILD_CPP_TESTS)
     add_subdirectory(test)
 endif()

README.md

@@ -1,8 +1,5 @@
 # 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.
@@ -46,41 +43,48 @@ 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 (Debian-based)
+# Installation - Linux (Ubuntu-based)
 
-## Dependencies
+## From wheel (recommended for non-developers)
 
-One-liner:
+### Prerequisites
 
-- `$ 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`
+Run the following on the command line to install all prerequisites on
+Debian-based Linux:
 
+- `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:
 
-- libclalsadrv-dev
+- `sudo apt install libclalsadrv-dev`
 
 If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
 
-- libjack-jackd2-dev
+- `sudo apt install libjack-jackd2-dev`
 
-## Download & build
+### Download & build
 
 - `$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git`
 - `$ cd lasp`
+- `pip install -e .`
 
-For a release build:
+# Installation - (x86_64) Windows (with WinPython), build with MSYS2 (NOT YET UPDATED!!)
-
-- `$ cmake .`
-
-or optionally for a custom build:
-
-- `$ ccmake .`
-
-Configure and run:
-
-- `$ make -j`
-
-# Installation - (x86_64) Windows (with WinPython), build with MSYS2
 
 ## Prerequisites
 
@@ -113,7 +117,11 @@ Configure and run:
 
 # Documentation
 
-In directory:
+## Online
+
+[Online LASP documentation](https://lasp.ascee.nl/).
+
+## In directory
 
 `$ sudo apt install doxygen graphviz`
 `$ pip install doxypypy`
@@ -126,21 +134,7 @@ This will build the documentation. It can be read by:
 
 `$ <YOUR-BROWSER> doc/html/index.html`
 
-Or via docker:
+# Usage
-
-`$ 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.

cpp_src/CMakeLists.txt

@@ -0,0 +1,53 @@
+# src/lasp/CMakeLists.txt
+
+# Armadillo, don't build the wrapper lib, but instead directly link to
+# openblas.
+add_definitions(-DARMA_DONT_USE_WRAPPER)
+
+configure_file(lasp_config.h.in lasp_config.h)
+include_directories(${CMAKE_CURRENT_BINARY_DIR})
+include_directories(SYSTEM
+    ${PROJECT_SOURCE_DIR}/third_party/armadillo-code/include)
+
+include_directories(${PROJECT_SOURCE_DIR}/third_party/DebugTrace-cpp/include)
+include_directories(${PROJECT_SOURCE_DIR}/third_party/gsl-lite/include)
+include_directories(${PROJECT_SOURCE_DIR}/third_party/tomlplusplus/include)
+include_directories(${PROJECT_SOURCE_DIR}/third_party/thread-pool)
+
+if(LASP_HAS_RTAUDIO)
+    include_directories(${PROJECT_SOURCE_DIR}/third_party/rtaudio)
+endif()
+if(LASP_HAS_ULDAQ)
+    include_directories(${PROJECT_SOURCE_DIR}/third_party/uldaq/src)
+endif()
+
+add_subdirectory(device)
+add_subdirectory(dsp)
+
+pybind11_add_module(lasp_cpp MODULE lasp_cpp.cpp 
+    pybind11/lasp_deviceinfo.cpp
+    pybind11/lasp_daqconfig.cpp
+    pybind11//lasp_dsp_pybind.cpp
+    pybind11/lasp_streammgr.cpp
+    pybind11/lasp_daq.cpp
+    pybind11/lasp_deviceinfo.cpp
+    pybind11/lasp_pyindatahandler.cpp
+    pybind11/lasp_siggen.cpp
+    )
+
+target_link_libraries(lasp_cpp PRIVATE lasp_device_lib lasp_dsp_lib
+    ${OpenMP_CXX_LIBRARIES} ${LASP_FFT_LIBS} ${TARGET_OS_LINKLIBS})
+
+# Install the Python module
+install(TARGETS lasp_cpp
+        EXCLUDE_FROM_ALL
+        COMPONENT python_modules
+        DESTINATION ${PY_BUILD_CMAKE_MODULE_NAME})
+# Install the debug file for the Python module (Windows only)
+if (WIN32)
+    install(FILES $<TARGET_PDB_FILE:_add_module>
+            EXCLUDE_FROM_ALL
+            COMPONENT python_modules
+            DESTINATION ${PY_BUILD_CMAKE_MODULE_NAME}
+            OPTIONAL)
+endif()

cpp_src/lasp_config.h.in

@@ -9,9 +9,6 @@
 #ifndef LASP_CONFIG_H
 #define LASP_CONFIG_H
 
-const int LASP_VERSION_MAJOR = @CMAKE_PROJECT_VERSION_MAJOR@;
-const int LASP_VERSION_MINOR = @CMAKE_PROJECT_VERSION_MINOR@;
-
 /* Debug flag */
 #cmakedefine01 LASP_DEBUG
 

cpp_src/lasp_cpp.cpp

@@ -52,12 +52,5 @@ PYBIND11_MODULE(lasp_cpp, m) {
   init_datahandler(m);
   init_siggen(m);
 
-  // We store the version number of the code via CMake, and create an
-  // attribute in the C++ code.
-  m.attr("__version__") = std::to_string(LASP_VERSION_MAJOR) + "." +
-                          std::to_string(LASP_VERSION_MINOR);
-
-  m.attr("LASP_VERSION_MAJOR") = LASP_VERSION_MAJOR;
-  m.attr("LASP_VERSION_MINOR") = LASP_VERSION_MINOR;
 }
 /** @} */

pyproject.toml

@@ -0,0 +1,55 @@
+[project]
+name = "lasp"
+readme = "README.md"
+requires-python = ">=3.10"
+description = "Library for Acoustic Signal Processing"
+license = { "file" = "LICENSE" }
+authors = [{ "name" = "J.A. de Jong", "email" = "j.a.dejong@ascee.nl" }]
+version = "1.0.1"
+
+keywords = ["DSP", "DAQ", "Signal processing"]
+
+classifiers = [
+    "Development Status :: 3 - Alpha",
+    "Topic :: Software Development :: Libraries :: Python Modules",
+    "License :: OSI Approved :: MIT License",
+    "Natural Language :: English",
+    "Topic :: Scientific/Engineering",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Operating System :: POSIX :: Linux",
+    "Operating System :: Microsoft :: Windows",
+]
+urls = { "Documentation" = "https://lasp.ascee.nl" }
+
+dependencies = ["scipy", "numpy", "matplotlib>=3.7.2", "appdirs",
+                "dataclasses_json", "h5py"]
+
+[build-system] # How pip and other frontends should build this project
+requires = ["py-build-cmake~=0.1.8", "pybind11" ]
+build-backend = "py_build_cmake.build"
+
+[tool.py-build-cmake.module] # Where to find the Python module to package
+directory = "python_src"
+
+[tool.py-build-cmake.sdist] # What to include in source distributions
+include = ["CMakeLists.txt", "cmake", "cpp_src", "python_src", "img", "scripts",
+           "third_party"]
+
+[tool.py-build-cmake.cmake] # How to build the CMake project
+build_type = "Release"
+source_path = "."
+build_args = ["-j12"]
+install_components = ["python_modules"]
+
+[tool.py-build-cmake.editable]
+# This might not work properly on Windows. Comment this out when testing on
+# Windows.
+mode = "symlink"
+
+[tool.commitizen]
+name = "cz_conventional_commits"
+tag_format = "v$version"
+version_scheme = "semver"
+version_provider = "pep621"
+update_changelog_on_bump = true

python_src/lasp/__init__.py

@@ -2,10 +2,11 @@
 LASP: Library for Acoustic Signal Processing
 
 """
-from .lasp_cpp import *
+
-import lasp.lasp_cpp
+
+from .lasp_version import __version__
 from .lasp_common import *
-__version__ = lasp_cpp.__version__
+from .lasp_cpp import *
 
 # from .lasp_imptube import *  # TwoMicImpedanceTube
 from .lasp_measurement import *  # Measurement, scaleBlockSens
@@ -14,6 +15,7 @@ from .lasp_slm import *  # SLM, Dummy
 from .lasp_record import *  # RecordStatus, Recording
 from .lasp_daqconfigs import *
 from .lasp_measurementset import *
+
 # from .lasp_siggen import *  # SignalType, NoiseType, SiggenMessage, SiggenData, Siggen
 # from .lasp_weighcal import *  # WeighCal
 # from .tools import *  # SmoothingType, smoothSpectralData, SmoothingWidth

python_src/lasp/lasp_daqconfigs.py

@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
-from .lasp_cpp import DaqConfiguration, LASP_VERSION_MAJOR
+from .lasp_cpp import DaqConfiguration
+from .lasp_version import LASP_VERSION_MAJOR
 
 """!
 Author: J.A. de Jong - ASCEE

python_src/lasp/lasp_measurement.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 from __future__ import annotations
+
 """!
 Author: J.A. de Jong - ASCEE
 
@@ -43,7 +44,7 @@ The video dataset can possibly be not present in the data.
 
 """
 
-__all__ = ['Measurement', 'scaleBlockSens']
+__all__ = ["Measurement", "scaleBlockSens"]
 from contextlib import contextmanager
 import h5py as h5
 import numpy as np
@@ -51,7 +52,8 @@ from .lasp_config import LASP_NUMPY_FLOAT_TYPE
 from scipy.io import wavfile
 import os, time, wave, logging
 from .lasp_common import SIQtys, Qty, getFreq
-from .lasp_cpp import Window, DaqChannel, LASP_VERSION_MAJOR, AvPowerSpectra
+from .lasp_version import LASP_VERSION_MAJOR, LASP_VERSION_MINOR
+from .lasp_cpp import Window, DaqChannel, AvPowerSpectra
 from typing import List
 from functools import lru_cache
 
@@ -72,7 +74,7 @@ def getSampWidth(dtype):
     elif dtype == np.float64:
         return 8
     else:
-        raise ValueError('Invalid data type: %s' % dtype)
+        raise ValueError("Invalid data type: %s" % dtype)
 
 
 def scaleBlockSens(block, sens):
@@ -87,9 +89,9 @@ def scaleBlockSens(block, sens):
     assert sens.size == block.shape[1]
     if np.issubdtype(block.dtype.type, np.integer):
         sw = getSampWidth(block.dtype)
-        fac = 2**(8 * sw - 1) - 1
+        fac = 2 ** (8 * sw - 1) - 1
     else:
-        fac = 1.
+        fac = 1.0
     return block.astype(LASP_NUMPY_FLOAT_TYPE) / fac / sens[np.newaxis, :]
 
 
@@ -107,7 +109,7 @@ class IterRawData:
 
         """
         assert isinstance(channels, list)
-        fa = f['audio']
+        fa = f["audio"]
         self.fa = fa
         self.i = 0
 
@@ -117,8 +119,8 @@ class IterRawData:
         # nchannels = fa.shape[2]
         self.channels = channels
 
-        self.istart = kwargs.pop('istart', 0)
+        self.istart = kwargs.pop("istart", 0)
-        self.istop = kwargs.pop('istop', blocksize*nblocks)
+        self.istop = kwargs.pop("istop", blocksize * nblocks)
 
         self.firstblock = self.istart // blocksize
         self.lastblock = self.istop // blocksize
@@ -128,11 +130,11 @@ class IterRawData:
         self.firstblock_start_offset = self.istart % blocksize
 
         if self.istop < 0:
-            self.istop += blocksize*nblocks
+            self.istop += blocksize * nblocks
         if self.istop <= self.istart:
-            raise ValueError('Stop index is smaller than start index')
+            raise ValueError("Stop index is smaller than start index")
 
-        if self.istop != blocksize*nblocks:
+        if self.istop != blocksize * nblocks:
             self.lastblock_stop_offset = self.istop % blocksize
         else:
             self.lastblock_stop_offset = blocksize
@@ -171,6 +173,7 @@ class IterData(IterRawData):
     Iterate over blocks of data, scaled with sensitivity and integer scaling
     between 0 and 1
     """
+
     def __init__(self, fa, channels, sensitivity, **kwargs):
         super().__init__(fa, channels, **kwargs)
         self.sens = np.asarray(sensitivity)[self.channels]
@@ -187,8 +190,8 @@ class Measurement:
 
     def __init__(self, fn):
         """Initialize a Measurement object based on the filename."""
-        if '.h5' not in fn:
+        if ".h5" not in fn:
-            fn += '.h5'
+            fn += ".h5"
 
         # Full filepath
         self.fn = fn
@@ -198,26 +201,26 @@ class Measurement:
 
         # Open the h5 file in read-plus mode, to allow for changing the
         # measurement comment.
-        with h5.File(fn, 'r') as f:
+        with h5.File(fn, "r") as f:
             # Check for video data
             try:
-                f['video']
+                f["video"]
                 self.has_video = True
             except KeyError:
                 self.has_video = False
 
-            self.nblocks, self.blocksize, self.nchannels = f['audio'].shape
+            self.nblocks, self.blocksize, self.nchannels = f["audio"].shape
-            dtype = f['audio'].dtype
+            dtype = f["audio"].dtype
             self.dtype = dtype
             self.sampwidth = getSampWidth(dtype)
 
-            self.samplerate = f.attrs['samplerate']
+            self.samplerate = f.attrs["samplerate"]
-            self.N = (self.nblocks * self.blocksize)
+            self.N = self.nblocks * self.blocksize
             self.T = self.N / self.samplerate
 
             try:
-                self.version_major = f.attrs['LASP_VERSION_MAJOR']
+                self.version_major = f.attrs["LASP_VERSION_MAJOR"]
-                self.version_minor = f.attrs['LASP_VERSION_MINOR']
+                self.version_minor = f.attrs["LASP_VERSION_MINOR"]
             except KeyError:
                 self.version_major = 0
                 self.version_minor = 1
@@ -225,45 +228,47 @@ class Measurement:
             # Due to a previous bug, the channel names were not stored
             # consistently, i.e. as 'channel_names' and later camelcase.
             try:
-                self._channelNames = f.attrs['channelNames']
+                self._channelNames = f.attrs["channelNames"]
             except KeyError:
                 try:
-                    self._channelNames = f.attrs['channel_names']
+                    self._channelNames = f.attrs["channel_names"]
-                    logging.info("Measurement file obtained which stores channel names with *old* attribute 'channel_names'")
+                    logging.info(
+                        "Measurement file obtained which stores channel names with *old* attribute 'channel_names'"
+                    )
                 except KeyError:
                     # No channel names found in measurement file
-                    logging.info('No channel name data found in measurement')
+                    logging.info("No channel name data found in measurement")
-                    self._channelNames = [f'Unnamed {i}' for i in range(self.nchannels)]
+                    self._channelNames = [f"Unnamed {i}" for i in range(self.nchannels)]
 
             # comment = read-write thing
-            if 'comment' in f.attrs:
+            if "comment" in f.attrs:
-                self._comment = f.attrs['comment']
+                self._comment = f.attrs["comment"]
             else:
-                self._comment = ''
+                self._comment = ""
 
             # Sensitivity
             try:
-                sens = f.attrs['sensitivity']
+                sens = f.attrs["sensitivity"]
-                self._sens = sens * \
+                self._sens = (
-                    np.ones(self.nchannels) if isinstance(
+                    sens * np.ones(self.nchannels) if isinstance(sens, float) else sens
-                        sens, float) else sens
+                )
             except KeyError:
                 self._sens = np.ones(self.nchannels)
 
             # The time is cached AND ALWAYS ASSUMED TO BE AN IMMUTABLE OBJECT.
             # It is also cached. Changing the measurement timestamp should not
             # be done.
-            self._time = f.attrs['time']
+            self._time = f.attrs["time"]
 
             # Quantity stored as channel.
             self._qtys = None
 
             try:
-                qtys_enum_idx = f.attrs['qtys_enum_idx']
+                qtys_enum_idx = f.attrs["qtys_enum_idx"]
                 self._qtys = [SIQtys.fromInt(idx) for idx in qtys_enum_idx]
             except KeyError:
                 try:
-                    qtys_json = f.attrs['qtys']
+                    qtys_json = f.attrs["qtys"]
                     # Load quantity data
                     self._qtys = [Qty.from_json(qty_json) for qty_json in qtys_json]
                 except KeyError:
@@ -273,17 +278,19 @@ class Measurement:
 
             if self._qtys is None:
                 self._qtys = [SIQtys.default() for i in range(self.nchannels)]
-                logging.debug(f'Physical quantity data not available in measurement file. Assuming {SIQtys.default}')
+                logging.debug(
+                    f"Physical quantity data not available in measurement file. Assuming {SIQtys.default}"
+                )
 
     def setAttribute(self, atrname, value):
         """
         Set an attribute in the measurement file, and keep a local copy in
         memory for efficient accessing.
         """
-        with self.file('r+') as f:
+        with self.file("r+") as f:
             # Update comment attribute in the file
             f.attrs[atrname] = value
-        setattr(self, '_' + atrname, value)
+        setattr(self, "_" + atrname, value)
 
     @property
     def name(self):
@@ -297,14 +304,13 @@ class Measurement:
     @channelNames.setter
     def channelNames(self, newchnames):
         if len(newchnames) != self.nchannels:
-            raise RuntimeError('Invalid length of new channel names')
+            raise RuntimeError("Invalid length of new channel names")
-        self.setAttribute('channelNames', newchnames)
+        self.setAttribute("channelNames", newchnames)
 
     @property
     def channelConfig(self):
         chcfg = []
-        for chname, sens, qty in zip(self.channelNames, self.sensitivity,
+        for chname, sens, qty in zip(self.channelNames, self.sensitivity, self.qtys):
-                                     self.qtys):
             ch = DaqChannel()
             ch.enabled = True
             ch.name = chname
@@ -334,26 +340,26 @@ class Measurement:
     @qtys.setter
     def qtys(self, newqtys):
         if not len(newqtys) == len(self._qtys):
-            raise ValueError('Invalid number of quantities')
+            raise ValueError("Invalid number of quantities")
         qtys_int = [qty.toInt() for qty in newqtys]
         # Use setAttribute here, but thos store the jsonified version as well,
         # which we have to overwrite again with the deserialized ones. This is
         # actually not a very nice way of coding.
-        with self.file('r+') as f:
+        with self.file("r+") as f:
             # Update comment attribute in the file
-            f.attrs['qtys_enum_idx'] = qtys_int
+            f.attrs["qtys_enum_idx"] = qtys_int
 
         self._qtys = newqtys
 
     @contextmanager
-    def file(self, mode='r'):
+    def file(self, mode="r"):
         """Contextmanager which opens the storage file and yields the file.
 
         Args:
             mode: Opening mode for the file. Should either be 'r', or 'r+'
         """
-        if mode not in ('r', 'r+'):
+        if mode not in ("r", "r+"):
-            raise ValueError('Invalid file opening mode.')
+            raise ValueError("Invalid file opening mode.")
         with h5.File(self.fn, mode) as f:
             yield f
 
@@ -373,9 +379,9 @@ class Measurement:
         Args:
             cmt: Comment text string to set
         """
-        with self.file('r+') as f:
+        with self.file("r+") as f:
             # Update comment attribute in the file
-            f.attrs['comment'] = cmt
+            f.attrs["comment"] = cmt
             self._comment = cmt
 
     @property
@@ -400,7 +406,7 @@ class Measurement:
 
         """
         time_struct = time.localtime(self.time)
-        time_string = time.strftime('%Y-%m-%d %H:%M:%S', time_struct)
+        time_string = time.strftime("%Y-%m-%d %H:%M:%S", time_struct)
         return time_string
 
     def rms(self, channels=None, substract_average=False):
@@ -415,8 +421,8 @@ class Measurement:
         Returns:
             1D array with rms values for each channel
         """
-        meansquare = 0. # Mean square of the signal, including its average
+        meansquare = 0.0  # Mean square of the signal, including its average
-        sum_ = 0. # Sumf of the values of the signal, used to compute average
+        sum_ = 0.0  # Sumf of the values of the signal, used to compute average
         N = 0
         with self.file() as f:
             for block in self.iterData(channels):
@@ -425,7 +431,7 @@ class Measurement:
                 N += Nblock
                 meansquare += np.sum(block**2, axis=0) / self.N
 
-        avg = sum_/N
+        avg = sum_ / N
         # In fact, this is not the complete RMS, as in includes the DC
         # If p = p_dc + p_osc, then rms(p_osc) = sqrt(ms(p)-ms(p_dc))
         if substract_average:
@@ -461,7 +467,7 @@ class Measurement:
         return np.concatenate(rawdata, axis=0)
 
     def iterData(self, channels, **kwargs):
-        sensitivity = kwargs.pop('sensitivity', self.sensitivity)
+        sensitivity = kwargs.pop("sensitivity", self.sensitivity)
         if channels is None:
             channels = list(range(self.nchannels))
         with self.file() as f:
@@ -496,9 +502,9 @@ class Measurement:
             Cross-power-spectra. C[freq, ch_i, ch_j] = C_ij
 
         """
-        nfft = kwargs.pop('nfft', 2048)
+        nfft = kwargs.pop("nfft", 2048)
-        window = kwargs.pop('windowType', Window.WindowType.Hann)
+        window = kwargs.pop("windowType", Window.WindowType.Hann)
-        overlap = kwargs.pop('overlap', 50.0)
+        overlap = kwargs.pop("overlap", 50.0)
 
         if channels is None:
             channels = list(range(self.nchannels))
@@ -527,35 +533,37 @@ class Measurement:
         """
         # Create blocks of equal length N
         Ntot = self.N
-        Nblocks = Ntot//N
+        Nblocks = Ntot // N
 
         # TODO: This method graps the whole measurement file into memory. Can
         # only be done with relatively small measurement files.
         signal = self.data(channels)
 
         # Estimate noise power in block
-        blocks = [signal[i*N:(i+1)*N] for i in range(Nblocks)]
+        blocks = [signal[i * N : (i + 1) * N] for i in range(Nblocks)]
 
         if noiseCorrection:
             # The difference between the measured signal in the previous block and
             # the current block
-            en = [None] + [blocks[i] - blocks[i-1] for i in range(1,Nblocks)]
+            en = [None] + [blocks[i] - blocks[i - 1] for i in range(1, Nblocks)]
 
-            noise_est = [None] + [-np.average(en[i]*en[i+1]) for i in range(1,len(en)-1)]
+            noise_est = [None] + [
+                -np.average(en[i] * en[i + 1]) for i in range(1, len(en) - 1)
+            ]
 
             # Create weighting coefficients
-            sum_inverse_noise = sum([1/n for n in noise_est[1:]])
+            sum_inverse_noise = sum([1 / n for n in noise_est[1:]])
-            c_n = [1/(ni*sum_inverse_noise) for ni in noise_est[1:]]
+            c_n = [1 / (ni * sum_inverse_noise) for ni in noise_est[1:]]
         else:
-            c_n = [1/(Nblocks-2)]*(Nblocks-2)
+            c_n = [1 / (Nblocks - 2)] * (Nblocks - 2)
 
         assert np.isclose(sum(c_n), 1.0)
-        assert Nblocks-2 == len(c_n)
+        assert Nblocks - 2 == len(c_n)
 
         # Average signal over blocks
         avg = np.zeros((blocks[0].shape), dtype=float)
-        for n in range(0, Nblocks-2):
+        for n in range(0, Nblocks - 2):
-            avg += c_n[n]*blocks[n+1]
+            avg += c_n[n] * blocks[n + 1]
 
         return avg
 
@@ -578,7 +586,6 @@ class Measurement:
 
         return freq, CS
 
-
     @property
     def sensitivity(self):
         """Sensitivity of the data in U^-1, from floating point data scaled
@@ -607,9 +614,9 @@ class Measurement:
         valid &= sens.shape[0] == self.nchannels
         valid &= sens.dtype == float
         if not valid:
-            raise ValueError('Invalid sensitivity value(s) given')
+            raise ValueError("Invalid sensitivity value(s) given")
-        with self.file('r+') as f:
+        with self.file("r+") as f:
-            f.attrs['sensitivity'] = sens
+            f.attrs["sensitivity"] = sens
         self._sens = sens
 
     def checkOverflow(self, channels):
@@ -621,19 +628,17 @@ class Measurement:
 
         for block in self.iterData(channels):
             dtype = block.dtype
-            if dtype.kind == 'i':
+            if dtype.kind == "i":
                 # minvalue = np.iinfo(dtype).min
                 maxvalue = np.iinfo(dtype).max
-                if np.max(np.abs(block)) >= 0.9*maxvalue:
+                if np.max(np.abs(block)) >= 0.9 * maxvalue:
                     return True
             else:
                 # Cannot check for floating point values.
                 return False
             return False
 
-
+    def exportAsWave(self, fn=None, force=False, dtype=None, normalize=False, **kwargs):
-    def exportAsWave(self, fn=None, force=False, dtype=None,
-                     normalize=False, **kwargs):
         """Export measurement file as wave. In case the measurement data is
         stored as floats, the values are scaled to the proper integer (PCM)
         data format.
@@ -654,14 +659,16 @@ class Measurement:
             fn = self.fn
             fn = os.path.splitext(fn)[0]
 
-        if os.path.splitext(fn)[1] != '.wav':
+        if os.path.splitext(fn)[1] != ".wav":
-            fn += '.wav'
+            fn += ".wav"
 
         if os.path.exists(fn) and not force:
-            raise RuntimeError(f'File already exists: {fn}')
+            raise RuntimeError(f"File already exists: {fn}")
 
-        if not np.isclose(self.samplerate%1,0):
+        if not np.isclose(self.samplerate % 1, 0):
-            raise RuntimeError(f'Sample rates should be approximately integer for exporting to Wave to work')
+            raise RuntimeError(
+                f"Sample rates should be approximately integer for exporting to Wave to work"
+            )
 
         # TODO: With VERY large measurment files, this is not possible! Is this
         # a theoretical case?
@@ -673,20 +680,20 @@ class Measurement:
             maxabs = np.max(np.abs(data))
             data = data / maxabs  # "data /= maxabs" fails if dtpyes differ
 
-        if dtype==None:
+        if dtype == None:
             dtype = data.dtype  # keep existing
             logging.debug(f"dtype not passed as arg; using dtype = {dtype}")
 
         # dtype conversion
-        if dtype=='int16':
+        if dtype == "int16":
             newtype = np.int16
             newsampwidth = 2
-        elif dtype=='int32':
+        elif dtype == "int32":
             newtype = np.int32
             newsampwidth = 4
-        elif dtype=='float32':
+        elif dtype == "float32":
             newtype = np.float32
-        elif dtype=='float64':
+        elif dtype == "float64":
             newtype = np.float64
         else:
             logging.debug(f"cannot handle this dtype {dtype}")
@@ -697,22 +704,24 @@ class Measurement:
         sensone = np.ones_like(self.sensitivity)
         data = scaleBlockSens(data, sensone)
 
-        if dtype=='int16' or dtype=='int32':
+        if dtype == "int16" or dtype == "int32":
             # Scale data to integer range and convert to integers
-            scalefac = 2**(8*newsampwidth-1)-1
+            scalefac = 2 ** (8 * newsampwidth - 1) - 1
-            data = (data*scalefac).astype(newtype)
+            data = (data * scalefac).astype(newtype)
 
         wavfile.write(fn, int(self.samplerate), data.astype(newtype))
 
     @staticmethod
-    def fromtxt(fn,
+    def fromtxt(
-                skiprows,
+        fn,
-                samplerate,
+        skiprows,
-                sensitivity,
+        samplerate,
-                mfn=None,
+        sensitivity,
-                timestamp=None,
+        mfn=None,
-                delimiter='\t',
+        timestamp=None,
-                firstcoltime=True):
+        delimiter="\t",
+        firstcoltime=True,
+    ):
         """Converts a txt file to a LASP Measurement file, opens the associated
         Measurement object and returns it. The measurement file will have the
         same file name as the txt file, except with h5 extension.
@@ -732,50 +741,57 @@ class Measurement:
             sample time.
         """
         if not os.path.exists(fn):
-            raise ValueError(f'File {fn} does not exist.')
+            raise ValueError(f"File {fn} does not exist.")
         if timestamp is None:
             timestamp = os.path.getmtime(fn)
         if mfn is None:
-            mfn = os.path.splitext(fn)[0] + '.h5'
+            mfn = os.path.splitext(fn)[0] + ".h5"
         else:
-            mfn = os.path.splitext(mfn)[0] + '.h5'
+            mfn = os.path.splitext(mfn)[0] + ".h5"
 
         dat = np.loadtxt(fn, skiprows=skiprows, delimiter=delimiter)
         if firstcoltime:
             time = dat[:, 0]
             if not np.isclose(time[1] - time[0], 1 / samplerate):
-                raise ValueError('Samplerate given does not agree with '
+                raise ValueError(
-                                 'samplerate in file')
+                    "Samplerate given does not agree with " "samplerate in file"
+                )
 
             # Chop off first column
             dat = dat[:, 1:]
         nchannels = dat.shape[1]
         if nchannels != sensitivity.shape[0]:
             raise ValueError(
-                f'Invalid sensitivity length given. Should be: {nchannels}')
+                f"Invalid sensitivity length given. Should be: {nchannels}"
+            )
 
-        with h5.File(mfn, 'w') as hf:
+        with h5.File(mfn, "w") as hf:
-            hf.attrs['samplerate'] = samplerate
+            hf.attrs["samplerate"] = samplerate
-            hf.attrs['sensitivity'] = sensitivity
+            hf.attrs["sensitivity"] = sensitivity
-            hf.attrs['time'] = timestamp
+            hf.attrs["time"] = timestamp
-            hf.attrs['blocksize'] = 1
+            hf.attrs["blocksize"] = 1
-            hf.attrs['nchannels'] = nchannels
+            hf.attrs["nchannels"] = nchannels
-            ad = hf.create_dataset('audio', (1, dat.shape[0], dat.shape[1]),
+            ad = hf.create_dataset(
-                                   dtype=dat.dtype,
+                "audio",
-                                   maxshape=(1, dat.shape[0], dat.shape[1]),
+                (1, dat.shape[0], dat.shape[1]),
-                                   compression='gzip')
+                dtype=dat.dtype,
+                maxshape=(1, dat.shape[0], dat.shape[1]),
+                compression="gzip",
+            )
             ad[0] = dat
         return Measurement(mfn)
 
     @staticmethod
-    def fromnpy(data,
+    def fromnpy(
-                samplerate,
+        data,
-                sensitivity,
+        samplerate,
-                mfn,
+        sensitivity,
-                timestamp=None,
+        mfn,
-                qtys: List[SIQtys] = None,
+        timestamp=None,
-                channelNames: List[str] = None,
+        qtys: List[SIQtys] = None,
-                force=False) -> Measurement:
+        channelNames: List[str] = None,
+        force=False,
+    ) -> Measurement:
         """
         Converts a numpy array to a LASP Measurement file, opens the
         associated Measurement object and returns it. The measurement file will
@@ -802,57 +818,60 @@ class Measurement:
             force: If True, overwrites existing files with specified `mfn`
             name.
         """
-        if os.path.splitext(mfn)[1] != '.h5':
+        if os.path.splitext(mfn)[1] != ".h5":
-            mfn += '.h5'
+            mfn += ".h5"
         if os.path.exists(mfn) and not force:
-            raise ValueError(f'File {mfn} already exist.')
+            raise ValueError(f"File {mfn} already exist.")
         if timestamp is None:
             timestamp = int(time.time())
 
         if data.ndim != 2:
             data = data[:, np.newaxis]
 
-
         try:
             len(sensitivity)
         except:
-            raise ValueError('Sensitivity should be given as array-like data type')
+            raise ValueError("Sensitivity should be given as array-like data type")
         sensitivity = np.asarray(sensitivity)
 
         nchannels = data.shape[1]
         if nchannels != sensitivity.shape[0]:
             raise ValueError(
-                f'Invalid sensitivity length given. Should be: {nchannels}')
+                f"Invalid sensitivity length given. Should be: {nchannels}"
+            )
 
         if channelNames is not None:
             if len(channelNames) != nchannels:
                 raise RuntimeError("Illegal length of channelNames list given")
 
         if qtys is None:
-            qtys = [SIQtys.AP]*nchannels
+            qtys = [SIQtys.AP] * nchannels
         else:
             if len(qtys) != nchannels:
                 raise RuntimeError("Illegal length of qtys list given")
 
 
-        with h5.File(mfn, 'w') as hf:
+        with h5.File(mfn, "w") as hf:
-            hf.attrs['samplerate'] = samplerate
+            hf.attrs["samplerate"] = samplerate
-            hf.attrs['sensitivity'] = sensitivity
+            hf.attrs["sensitivity"] = sensitivity
-            hf.attrs['time'] = timestamp
+            hf.attrs["time"] = timestamp
-            hf.attrs['blocksize'] = 1
+            hf.attrs["blocksize"] = 1
-            hf.attrs['nchannels'] = nchannels
+            hf.attrs["nchannels"] = nchannels
 
             # Add physical quantity indices
             hf.attrs['qtys_enum_idx'] = [qty.toInt() for qty in qtys]
 
             # Add channel names in case given
             if channelNames is not None:
-                hf.attrs['channelNames'] = channelNames
+                hf.attrs["channelNames"] = channelNames
 
-            ad = hf.create_dataset('audio', (1, data.shape[0], data.shape[1]),
+            ad = hf.create_dataset(
-                                   dtype=data.dtype,
+                "audio",
-                                   maxshape=(1, data.shape[0], data.shape[1]),
+                (1, data.shape[0], data.shape[1]),
-                                   compression='gzip')
+                dtype=data.dtype,
+                maxshape=(1, data.shape[0], data.shape[1]),
+                compression="gzip",
+            )
             ad[0] = data
         return Measurement(mfn)
 
@@ -865,9 +884,11 @@ class Measurement:
 
         base_fn = os.path.splitext(fn)[0]
         if newfn is None:
-            newfn = base_fn + '.h5'
+            newfn = base_fn + ".h5"
         if os.path.exists(newfn) and not force:
-            raise RuntimeError(f'Measurement file name {newfn} already exists in path, set "force" to true to overwrite')
+            raise RuntimeError(
+                f'Measurement file name {newfn} already exists in path, set "force" to true to overwrite'
+            )
 
         samplerate, data = wavfile.read(fn)
         if data.ndim == 2:
@@ -878,16 +899,19 @@ class Measurement:
             data = data[:, np.newaxis]
         sensitivity = np.ones(nchannels)
 
-        with h5.File(newfn, 'w') as hf:
+        with h5.File(newfn, "w") as hf:
-            hf.attrs['samplerate'] = samplerate
+            hf.attrs["samplerate"] = samplerate
-            hf.attrs['nchannels'] = nchannels
+            hf.attrs["nchannels"] = nchannels
-            hf.attrs['time'] = timestamp
+            hf.attrs["time"] = timestamp
-            hf.attrs['blocksize'] = 1
+            hf.attrs["blocksize"] = 1
-            hf.attrs['sensitivity'] = sensitivity
+            hf.attrs["sensitivity"] = sensitivity
-            ad = hf.create_dataset('audio', (1, nframes, nchannels),
+            ad = hf.create_dataset(
-                               dtype=data.dtype,
+                "audio",
-                               maxshape=(1, nframes, nchannels),
+                (1, nframes, nchannels),
-                               compression='gzip')
+                dtype=data.dtype,
+                maxshape=(1, nframes, nchannels),
+                compression="gzip",
+            )
             ad[0] = data
 
         return Measurement(newfn)

python_src/lasp/lasp_record.py

@@ -7,8 +7,8 @@ import dataclasses, logging, os, time, h5py, threading
 import numpy as np
 
 from .lasp_atomic import Atomic
-from .lasp_cpp import (LASP_VERSION_MAJOR, LASP_VERSION_MINOR, InDataHandler,
+from .lasp_cpp import InDataHandler, StreamMgr
-                       StreamMgr)
+from .lasp_version import LASP_VERSION_MAJOR, LASP_VERSION_MINOR
 
 
 @dataclasses.dataclass
@@ -84,10 +84,10 @@ class Recording:
 
         try:
             # Open the file
-            self.f = h5py.File(self.fn, "w", 'stdio')
+            self.f = h5py.File(self.fn, "w", "stdio")
             self.f.flush()
         except Exception as e:
-            logging.error(f'Error creating measurement file {e}')
+            logging.error(f"Error creating measurement file {e}")
             raise
 
         # This flag is used to delete the file on finish(), and can be used
@@ -191,7 +191,7 @@ class Recording:
 
         """
         if self.stop():
-            logging.debug('Stop flag set, early return in inCallback')
+            logging.debug("Stop flag set, early return in inCallback")
             # Stop flag is raised. We do not add any data anymore.
             return True
 

python_src/lasp/lasp_version.py

@@ -0,0 +1,6 @@
+import importlib.metadata
+
+__version__ = importlib.metadata.version(__package__ or __name__)
+LASP_VERSION_MAJOR, LASP_VERSION_MINOR, LASP_VERSION_PATCH = [
+    int(a) for a in __version__.split(".")
+]