more precommit

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
-  - repo: https://github.com/myint/docformatter
-    rev: v1.7.5
+  - repo: https://github.com/PyCQA/docformatter
+    rev: master
     hooks:
       - id: docformatter
         args: ["--in-place", "--pre-summary-newline", "--make-summary-multi"]
@@ -16,7 +16,7 @@ repos:
           ]
         exclude: ".*(.fits|.fts|.fit|.txt|tca.*|extern.*|.rst|.md|docs/conf.py)$"
   - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: "v0.6.9"
+    rev: "v0.8.2"
     hooks:
       - id: ruff
         args: ["--fix", "--unsafe-fixes"]
@@ -41,6 +41,6 @@ repos:
         additional_dependencies:
           - tomli
   - repo: https://github.com/rbubley/mirrors-prettier
-    rev: v3.3.3
+    rev: v3.4.2
     hooks:
       - id: prettier

irispy/data/test/__init__.py

@@ -8,7 +8,7 @@
 
 import irispy
 
-__all__ = ["rootdir", "file_list", "get_test_filepath"]
+__all__ = ["file_list", "get_test_filepath", "rootdir"]
 
 rootdir = Path(irispy.__file__).parent / "data" / "test"
 file_list = str(Path(rootdir).glob("/*.[!p]*"))

irispy/spectrograph.py

@@ -17,7 +17,7 @@
 from irispy.utils.constants import SPECTRAL_BAND
 from irispy.visualization import Plotter, _set_axis_colors
 
-__all__ = ["Collection", "SpectrogramCube", "SpectrogramCubeSequence", "SGMeta"]
+__all__ = ["Collection", "SGMeta", "SpectrogramCube", "SpectrogramCubeSequence"]
 
 
 class Collection(NDCollection):

irispy/utils/constants.py

@@ -5,12 +5,12 @@
 import astropy.units as u
 
 __all__ = [
+    "BAD_PIXEL_VALUE_SCALED",
+    "BAD_PIXEL_VALUE_UNSCALED",
     "DN_UNIT",
-    "READOUT_NOISE",
     "RADIANCE_UNIT",
+    "READOUT_NOISE",
     "SLIT_WIDTH",
-    "BAD_PIXEL_VALUE_SCALED",
-    "BAD_PIXEL_VALUE_UNSCALED",
 ]
 
 # The following value is only appropriate for byte scaled images

irispy/utils/spectrograph.py

@@ -10,9 +10,9 @@
 from irispy.utils.utils import get_interpolated_effective_area
 
 __all__ = [
+    "calculate_photons_per_sec_to_radiance_factor",
     "convert_between_DN_and_photons",
     "convert_or_undo_photons_per_sec_to_radiance",
-    "calculate_photons_per_sec_to_radiance_factor",
     "reshape_1D_wavelength_dimensions_for_broadcast",
 ]
 

irispy/utils/utils.py

@@ -12,12 +12,12 @@
 from irispy.utils.response import get_iris_response
 
 __all__ = [
-    "get_detector_type",
-    "get_interpolated_effective_area",
     "calculate_dust_mask",
+    "calculate_uncertainty",
     "gaussian1d_on_linear_bg",
+    "get_detector_type",
+    "get_interpolated_effective_area",
     "image_clipping",
-    "calculate_uncertainty",
 ]
 
 

irispy/visualization.py

@@ -3,7 +3,7 @@
 from mpl_animators import ArrayAnimatorWCS
 from ndcube.visualization.mpl_plotter import MatplotlibPlotter
 
-__all__ = ["_set_axis_colors", "Plotter", "CustomArrayAnimatorWCS"]
+__all__ = ["CustomArrayAnimatorWCS", "Plotter", "_set_axis_colors"]
 
 
 def _set_axis_colors(ax):

pyproject.toml

@@ -35,7 +35,7 @@ classifiers = [
 ]
 dependencies = [
   'dkist>=1.0.0',
-  'ndcube>=2.2.3',
+  'ndcube @ git+https://github.com/sunpy/ndcube@YOLO',
   'pandas>=1.3.3',
   'scipy>=1.7.0',
   'sunpy>=6.0.0',