[pre-commit.ci] pre-commit autoupdate (#74)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/psf/black: 23.10.1 → 23.11.0](psf/black@23.10.1...23.11.0)
- [github.com/astral-sh/ruff-pre-commit: v0.1.4 → v0.1.6](astral-sh/ruff-pre-commit@v0.1.4...v0.1.6)

* rtd
* fix array2string
* fix make_getter

Signed-off-by: nstarman <nstarman@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: nstarman <nstarman@users.noreply.github.com>

.pre-commit-config.yaml

@@ -34,7 +34,7 @@ repos:
       - id: text-unicode-replacement-char
 
   - repo: https://github.com/psf/black
-    rev: 23.10.1
+    rev: 23.11.0
     hooks:
       - id: black
         additional_dependencies: [toml]
@@ -48,7 +48,7 @@ repos:
         additional_dependencies: [black]
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.1.4"
+    rev: "v0.1.6"
     hooks:
       - id: ruff
         args:

.readthedocs.yaml

@@ -0,0 +1,24 @@
+version: 2
+
+build:
+  os: "ubuntu-20.04"
+  tools:
+    python: "3.11"
+
+sphinx:
+  builder: html
+  configuration: docs/conf.py
+  fail_on_warning: false
+
+# Install regular dependencies.
+# Then, install special pinning for RTD.
+python:
+  install:
+    - method: pip
+      path: .
+      extra_requirements:
+        - docs
+        - all
+
+# Don't build any extra formats
+formats: []

discO/utils/vectorfield.py

@@ -40,11 +40,8 @@
 from astropy.coordinates.representation import (
     REPRESENTATION_CLASSES as _REP_CLSs,
 )
-from astropy.coordinates.representation import (
-    BaseRepresentationOrDifferential,
-    _array2string,
-    _make_getter,
-)
+from astropy.coordinates.representation import BaseRepresentationOrDifferential
+from astropy.coordinates.representation.base import _make_getter
 from erfa import ufunc as erfa_ufunc
 
 # PROJECT-SPECIFIC
@@ -440,7 +437,7 @@ def scale_factors(self) -> T.Dict[str, QuantityType]:
     def __repr__(self) -> str:
         prefixstr = "    "
         # TODO combine with points
-        arrstr = _array2string(
+        arrstr = np.array2string(
             np.lib.recfunctions.merge_arrays(
                 (self.points._values, self._values),
             ),