fix carsonfarmer#22 - update min req & boost CI suite carsonfarmer#20 (…

…carsonfarmer#33)

* fix carsonfarmer#22 - update min req & boost CI suite carsonfarmer#20

* fix indent in testing.yml

* Update ci/py311-latest.yaml

.github/workflows/testing.yml

@@ -25,8 +25,18 @@
        matrix:
          os: [ubuntu-latest]
          environment-file: [
+            ci/py310-oldest.yaml,
+            ci/py311-latest.yaml,
             ci/py312-latest.yaml,
+            ci/py312-dev.yaml,
          ]
+         include:
+           - environment-file: ci/py312-latest.yaml
+             os: macos-latest
+           - environment-file: ci/py312-latest.yaml
+             os: macos-14 # Apple Silicon
+           - environment-file: ci/py312-latest.yaml
+             os: windows-latest
        fail-fast: false
 
      defaults:

ci/py310-oldest.yaml

@@ -0,0 +1,10 @@
+name: py310-oldest
+channels:
+  - conda-forge
+dependencies:
+  - python=3.10
+  - numpy=1.24
+  - scipy=1.10
+  # testing
+  - pytest
+  - pytest-cov

ci/py311-latest.yaml

@@ -0,0 +1,9 @@
+name: py311-latest
+channels:
+  - conda-forge
+dependencies:
+  - python=3.11
+  - scipy
+  # testing
+  - pytest
+  - pytest-cov

ci/py312-dev.yaml

@@ -0,0 +1,16 @@
+name: py312-dev
+channels:
+  - conda-forge
+dependencies:
+  - python=3.12
+  - pip
+  # testing
+  - pytest
+  - pytest-cov
+  - pip:
+    # nightly builds
+    - --pre \
+      --index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple  \
+      --extra-index-url https://pypi.org/simple
+    - numpy
+    - scipy

ci/py312-latest.yaml

@@ -1,10 +1,9 @@
 name: py312-latest
 channels:
   - conda-forge
-  - nodefaults
 dependencies:
   - python=3.12
-  - scipy=1.11
+  - scipy
   # testing
   - pytest
   - pytest-cov

fastpair/test/test_fastpair.py

@@ -15,7 +15,6 @@
 
 import numpy as np
 import pytest
-from scipy import array, mean
 
 from fastpair import FastPair
 
@@ -70,7 +69,7 @@ def rand_tuple(dim=2):
 
 def interact(u, v):
     """Compute element-wise mean(s) from two arrays."""
-    return tuple(mean(array([u, v]), axis=0))
+    return tuple(np.mean(np.array([u, v]), axis=0))
 
 
 # Setup fixtures

pyproject.toml

@@ -33,7 +33,8 @@ classifiers = [
 
 requires-python = ">=3.10"
 dependencies = [
-    "scipy>=1.10,<1.12",
+    "numpy>=1.24",
+    "scipy>=1.10",
 ]
 
 [project.urls]