.github/workflows/python-publish.yml

@@ -39,25 +39,20 @@ jobs:
       with:
         python-version: "3.10"
 
-    - name: Set up QEMU
-      uses: docker/setup-qemu-action@v3
-
     - name: Prepare Python environment
       run: |
         python -m venv venv
         . ./venv/bin/activate
-        pip install -U twine cibuildwheel
+        pip install --upgrade pip h5py setuptools wheel build
 
-    - name: Build wheels
+    - name: Install dependencies
       run: |
-        . ./venv/bin/activate
+        sudo apt-get install -y libhdf5-dev limesuite liblimesuite-dev automake gcc pkg-config build-essential python-is-python3
-        python -m cibuildwheel --output-dir dist
-      env:
-        CIBW_BEFORE_BUILD: ./build_wheel.sh
 
     - name: Publish to PyPI
       run: |
-        . ./venv/bin/activate
+        pip install -U twine cibuildwheel
+        python -m cibuildwheel .
         python -m twine upload --repository pypi --username __token__ --password ${{ secrets.PYPI }} dist/* 
       env:
         PYPI: ${{ secrets.PYPI }}

build_wheel.sh

@@ -1,16 +0,0 @@
-#!/bin/bash
-set -ex  # will exit on any error and print all commands
-
-yum install -y epel-release
-yum update -y  # Update the system
-yum groupinstall -y "Development Tools"
-yum install -y cmake3 git libusb-devel hdf5-devel
-
-# Clone and build LimeSuite
-rm -rf LimeSuite
-git clone https://github.com/myriadrf/LimeSuite.git
-cd LimeSuite/build || exit
-cmake3 ../ -DENABLE_GUI=OFF
-make -j$(nproc)
-make install
-ldconfig

pyproject.toml

@@ -14,6 +14,7 @@ classifiers = [
 ]
 dependencies = [
     "h5py",
+    "matplotlib",
 ]
 
 [build-system]
@@ -23,6 +24,7 @@ requires = [
     "Cython",
     "h5py",
     "numpy",
+    'matplotlib',
 ]
 
 build-backend = "setuptools.build_meta"
@@ -50,13 +52,4 @@ convention = "google"
 "Source Code" = "https://github.com/nqrduck/limedriverbindings"
 
 [tool.hatch.build.targets.wheel]
-packages = ["src/limedriver"]
+packages = ["src/limedriver"]
-
-[tool.cibuildwheel]
-manylinux-x86_64-image = "quay.io/pypa/manylinux_2_28_x86_64"
-manylinux-aarch64-image = "quay.io/pypa/manylinux_2_28_aarch64"
-manylinux-ppc64le-image = "quay.io/pypa/manylinux_2_28_ppc64le"
-manylinux-s390x-image = "quay.io/pypa/manylinux_2_28_s390x"
-
-[tool.cibuildwheel.linux]
-archs = ["aarch64", "x86_64", "ppc64le", "s390x"]

src/limedriver/hdf_reader.py

@@ -1,5 +1,6 @@
 import h5py
 import numpy as np
+import matplotlib.pyplot as plt
 
 # class for accessing data of stored HDF5 file this is from the limr program by andrin doll
 class HDF():
@@ -130,6 +131,12 @@ class HDF():
                     
             print('{:<5}: {:>50}    {:<25}'.format(key, val, self.parsoutp[key][1]))
             
+    def plot_dta(self):
+        plt.plot(self.tdx, self.tdy.real)
+        plt.xlabel('$t$ [$\mu$s]')
+        plt.ylabel('$y$ [Counts]')
+        plt.show()
+                
 # empty class to store dynamic attributes, basically for the attributes in HDF keys
 class dynclass:
     pass