Prepare 0.0.56

.github/workflows/python-publish-wheel.yml

@@ -24,7 +24,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: ["3.8", "3.9", "3.10", "3.11"]
+        python-version: ["3.10", "3.11", "3.12"]
     runs-on: ${{ matrix.os }}
     steps:
       - uses: actions/checkout@v4

.github/workflows/python-testing-matrix.yml

@@ -18,7 +18,7 @@ jobs:
       fail-fast: true
       matrix:
         os: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: ["3.8", "3.9", "3.10", "3.11"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
 
     steps:
 

datastock/_class1.py

@@ -618,6 +618,7 @@ def get_ref_vector(
         quant=None,
         name=None,
         units=None,
+        dref_vector_name=None,
         # exclude from search
         key_exclude=None,
         ref_exclude=None,
@@ -670,6 +671,7 @@ def get_ref_vector(
             quant=quant,
             name=name,
             units=units,
+            dref_vector_name=dref_vector_name,
             # exclude from search
             key_exclude=key_exclude,
             ref_exclude=ref_exclude,
@@ -690,6 +692,7 @@ def get_ref_vector_common(
         quant=None,
         name=None,
         units=None,
+        dref_vector_name=None,
         # strategy for choosing common ref vector
         strategy=None,
         strategy_bounds=None,
@@ -726,6 +729,7 @@ def get_ref_vector_common(
             quant=quant,
             name=name,
             units=units,
+            dref_vector_name=dref_vector_name,
             # strategy for choosing common ref vector
             strategy=strategy,
             strategy_bounds=strategy_bounds,
@@ -1079,4 +1083,4 @@ def show_links(self):
 
 __all__ = [
     sorted([k0 for k0 in locals() if k0.startswith('DataStock')])[-1]
-]
+]

datastock/_class1_interpolate.py

@@ -842,7 +842,6 @@ def _x01_grid(
     ix1=None,
 ):
 
-
     # ------------
     # trivial case
 

datastock/_class1_uniformize.py

@@ -43,6 +43,7 @@ def get_ref_vector(
     quant=None,
     name=None,
     units=None,
+    dref_vector_name=None,
     # exclude from search
     key_exclude=None,
     ref_exclude=None,
@@ -141,8 +142,13 @@ def get_ref_vector(
 
     if hasref is not False:
 
+        lp = [
+            ('dim', dim),
+            ('quant', quant),
+            ('name', name),
+            ('units', units),
+        ]
 
-        lp = [('dim', dim), ('quant', quant), ('name', name), ('units', units)]
         lk_vect = [
             k0 for k0, v0 in ddata.items()
             if v0['monot'] == (True,)
@@ -181,13 +187,18 @@ def get_ref_vector(
                 hasref = True
 
         else:
+            lstr = [f"\t- {p0} = {p1}" for (p0, p1) in lp]
             msg = (
                 f"Multiple possible vectors found:\n{lk_vect}\n"
                 f"\t- key0: {key0}\n"
+                f"\t- key: {key}\n"
                 f"\t- ref: {ref}\n"
                 f"\t- hasref: {hasref}\n"
                 f"\t- refok: {refok}\n"
+                + "Provided:\n" + "\n".join(lstr) + "\n"
             )
+            if dref_vector_name is not None:
+                msg += f"From '{dref_vector_name}'\n"
             warnings.warn(msg)
             hasvect = False
     else:
@@ -440,6 +451,7 @@ def _get_ref_vector_find_identical(
     quant=None,
     name=None,
     units=None,
+    dref_vector_name=None,
     # for comparison
     val=None
 ):
@@ -456,6 +468,7 @@ def _get_ref_vector_find_identical(
             quant=quant,
             name=name,
             units=units,
+            dref_vector_name=dref_vector_name,
             values=None,
             indices=None,
         )[:4]
@@ -496,6 +509,7 @@ def get_ref_vector_common(
     quant=None,
     name=None,
     units=None,
+    dref_vector_name=None,
     # exclude from search
     key_exclude=None,
     ref_exclude=None,
@@ -564,6 +578,7 @@ def get_ref_vector_common(
             quant=quant,
             name=name,
             units=units,
+            dref_vector_name=dref_vector_name,
             # exclude from search
             key_exclude=key_exclude,
             ref_exclude=ref_exclude,
@@ -741,6 +756,7 @@ def get_ref_vector_common(
         quant=quant,
         name=name,
         units=units,
+        dref_vector_name=dref_vector_name,
         #
         dkeys=dkeys,
         key_vector=key_vector,
@@ -772,6 +788,7 @@ def _get_ref_vector_common_values(
     quant=None,
     name=None,
     units=None,
+    dref_vector_name=None,
     #
     dkeys=None,
     key_vector=None,
@@ -807,6 +824,7 @@ def _get_ref_vector_common_values(
                 quant=quant,
                 name=name,
                 units=units,
+                dref_vector_name=dref_vector_name,
                 # exclude from search
                 key_exclude=key_exclude,
                 ref_exclude=ref_exclude,
@@ -972,7 +990,11 @@ def _uniformize_check(
     for k0, v0 in dparam.items():
         lout = [
             k1 for k1 in v0['keys']
-            if coll.get_ref_vector(key0=k1, **{param: k0})[3] is None
+            if coll.get_ref_vector(
+                key0=k1,
+                dref_vector_name=f"param '{k0}'",
+                **{param: k0},
+            )[3] is None
         ]
         if len(lout) > 0:
             dfails[k0] = lout
@@ -1121,4 +1143,4 @@ def uniformize(
     if returnas == 'dataframe':
         pass
 
-    return stu
+    return stu

pyproject.toml

@@ -35,13 +35,16 @@ maintainers = [
 keywords = [
     "data", "analysis", "interactive", "heterogeneous arrays", "numpy", "Collection",
 ]
-requires-python = ">=3.8"
+# due to astropy >= 6.1 and to end-of-life of 3.9
+# see https://devguide.python.org/versions/
+requires-python = ">=3.10"
 dependencies = [
-    "numpy<1.25",  # for astropy compatibility vs deprecated np.product
+    "numpy",  # for astropy compatibility vs deprecated np.product
     "scipy",
     "matplotlib",
     # "PySide2 ; platform_system != 'Windows'",
-    "astropy",
+    # see https://github.com/ToFuProject/datastock/pull/243
+    "astropy>=6.1",
 ]