Updats ci and fixes momentum tests

.github/workflows/test.yml

@@ -1,76 +1,37 @@
-name: Run Tests
+name: pytest
 
 on:
   push:
-    branches:
-      - master
-      - main
+    branches: [master]
   pull_request:
-    branches: "**"
+    branches: [master]
 
 jobs:
-  test:
+  pytest:
     runs-on: ubuntu-latest
-
+    env:
+      QT_QPA_PLATFORM: offscreen
     strategy:
-      max-parallel: 5
+      fail-fast: false
+      matrix:
+        python_version: ["3.8", "3.9", "3.10", "3.11"]
 
     steps:
-      - uses: actions/checkout@v2
-
-      - name: Set up Python
-        uses: actions/setup-python@v2
+      - uses: actions/checkout@v3
         with:
-          python-version: "3.8"
-
-      - name: Add conda to system path
-        run: |
-          # $CONDA is an environment variable pointing to the root of the miniconda directory
-          echo $CONDA/bin >> $GITHUB_PATH
-
-      - name: Get pip cache dir
-        id: pip-cache
-        run: |
-          echo "::set-output name=dir::$(pip cache dir)"
-
-      - name: Get conda package dir
-        id: conda-cache
-        run: |
-          echo "::set-output name=dir::$(conda info --json | python -c "import sys, json; print(json.load(sys.stdin)['pkgs_dirs'][0])")"
-
-      - name: Cache conda and PyPI modules
-        uses: actions/cache@v2
-        env:
-          cache-name: cache-conda-and-pypi
+          fetch-depth: 0
+          submodules: recursive
+      - name: Set up Python ${{ matrix.python_version }}
+        uses: actions/setup-python@v4
         with:
-          path: |
-            ${{ steps.pip-cache.outputs.dir }}
-            ${{ steps.conda-cache.outputs.dir }}
-          key: ${{ runner.os }}-build-${{ env.cache-name}}-${{ hashFiles('**/environment*.yml') }}
-          restore-keys: |
-            ${{ runner.os }}-conda
-
+          python-version: ${{ matrix.python_version }}
       - name: Install dependencies
         run: |
-          conda env create --quiet --file environment.yml
-
-      - name: Source environment, test with pytest and generate coverage
+          python -m pip install --upgrade pip
+      - name: Install package
         run: |
-          source activate arpes
-          conda env update --file environment-update-test.yml
-          sudo apt install libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-xfixes0
-          echo "Installed dependencies as below"
-          pip freeze
-          echo "Now running tests"
-          python -m pytest -c pytest-config/pytest-coverage-codecov.ini
-
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v1
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          files: ./coverage.xml
-          flags: unittests
-          env_vars: OS,PYTHON
-          fail_ci_if_error: true
-          path_to_write_report: ./coverage/codecov_report.txt
-          verbose: true
+          pip install -e ".[core, test]"
+          pip install pytest pytest-qt
+      - name: Test with pytest
+        run: |
+          pytest -sv --show-capture=no tests

arpes/utilities/qt/__init__.py

@@ -1,17 +1,18 @@
 """Infrastructure code for Qt based analysis tools."""
-from arpes.typing import xr_types
-import pyqtgraph as pg
-from pyqtgraph import ViewBox
 import functools
 from multiprocessing import Process
+from typing import Callable
+
 import dill
+import pyqtgraph as pg
+from pyqtgraph import ViewBox
 
-from typing import Callable
+from arpes.typing import xr_types
 
+from .app import SimpleApp
 from .data_array_image_view import DataArrayImageView
 from .help_dialogs import BasicHelpDialog
 from .windows import SimpleWindow
-from .app import SimpleApp
 
 __all__ = (
     "DataArrayImageView",
@@ -123,9 +124,9 @@ def inches_to_px(self, arg):
             arg,
             (int, float),
         ):
-            return self.screen_dpi * arg
+            return int(self.screen_dpi * arg)
 
-        return map(lambda x: x * self.screen_dpi, arg)
+        return map(lambda x: int(x * self.screen_dpi), arg)
 
     def setup_pyqtgraph(self):
         """Does any patching required on PyQtGraph and configures options."""

setup.py

@@ -9,11 +9,13 @@
 from setuptools.command.install import install
 
 NAME = "arpes"
-DESCRIPTION = "Modular data analysis code for angle resolved photoemission spectroscopy (ARPES)"
+DESCRIPTION = (
+    "Modular data analysis code for angle resolved photoemission spectroscopy (ARPES)"
+)
 URL = "https://gitlab.com/lanzara-group/python-arpes"
 EMAIL = "[email protected]"
 AUTHOR = "Conrad Stansbury"
-REQUIRES_PYTHON = ">=3.8.0,<3.9"  # we're being less permissive because of pyqtgraph
+REQUIRES_PYTHON = ">=3.8.0,<3.12"  # we're being less permissive because of pyqtgraph
 
 about = {}
 with open("./arpes/__init__.py") as fp:
@@ -28,7 +30,7 @@
         "h5py>=3.2.1",
         "pyqtgraph>=0.12.0,<0.13.0",
         "PyQt5==5.15",
-        "netCDF4>=1.5.0,<2.0.0",
+        "netCDF4>=1.5.0,<1.7.0",
         "colorcet",
         "pint",
         "pandas",
@@ -60,7 +62,9 @@
     ],
 }
 
-requirements = [y for k, v in DEPENDENCY_GROUPS.items() for y in v if k not in {"igor", "ml"}]
+requirements = [
+    y for k, v in DEPENDENCY_GROUPS.items() for y in v if k not in {"igor", "ml"}
+]
 
 DEV_DEPENDENCIES = {
     "jupyter": [
@@ -91,19 +95,17 @@
 You should follow standard best practices for working with IPython and Jupyter.
 
 To get the interactive volumetric data explorer `qt_tool` you will need to install
-`PyQt5` and `pyqtgraph`. 
+`PyQt5` and `pyqtgraph`.
 
-To use the Igor data loading libraries in PyARPES you will need to install the `igor` 
+To use the Igor data loading libraries in PyARPES you will need to install the `igor`
 module from 'https://github.com/chstan/igorpy/tarball/712a4c4#egg=igor-0.3.1'.
 
-Some functionality, including PCA/Factor Analysis decomposition tools, require 
-additional heavy dependencies such as `scikit-learn` and `scikit-image`. 
+Some functionality, including PCA/Factor Analysis decomposition tools, require
+additional heavy dependencies such as `scikit-learn` and `scikit-image`.
 
 For Jupyter integration, please have a look at the documentation (link above).
 For support issues, contact [email protected] or [email protected].
-""".format(
-    DOCUMENTATION_URL
-)
+""".format(DOCUMENTATION_URL)
 
 packages = find_packages(
     exclude=(