Release v0.14.4

.github/workflows/edgetest.yml

@@ -8,22 +8,25 @@ on:
   workflow_dispatch:  # allows manual dispatch
 jobs:
   edgetest:
+    permissions:
+      contents: write
+      pull-requests: write
     runs-on: ubuntu-latest
     name: running edgetest
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
         with:
-          ref: develop
-      
+          ref: ${{ github.ref_name }}
+
       - name: Set up Python 3.10
-        uses: conda-incubator/setup-miniconda@v2
+        uses: conda-incubator/setup-miniconda@v3
         with:
           auto-update-conda: true
           python-version: '3.10'
           channels: conda-forge
-      
+
       - name: Setup Java JDK
-        uses: actions/setup-java@v3
+        uses: actions/setup-java@v4
         with:
           java-version: '8'
           distribution: 'adopt'
@@ -34,22 +37,20 @@ jobs:
           conda install pip
           conda install edgetest edgetest-conda
           python -m pip install .[dev]
-      
+
       - name: Run edgetest
         shell: bash -el {0}
         run: |
           edgetest -c pyproject.toml --export
 
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v3
+        uses: peter-evans/create-pull-request@v7
         with:
           branch: edgetest-patch
-          base: develop
+          base: ${{ github.ref_name }}
           delete-branch: true
           title: Changes by run-edgetest action
           commit-message: '[edgetest] automated change'
           body: Automated changes by [run-edgetest-action](https://github.com/edgetest-dev/run-edgetest-action) GitHub action
           add-paths: |
-            requirements.txt
-            setup.cfg
-            pyproject.toml
+            pyproject.toml

datacompy/__init__.py

@@ -18,7 +18,7 @@
 Then extended to carry that functionality over to Spark Dataframes.
 """
 
-__version__ = "0.14.3"
+__version__ = "0.14.4"
 
 import platform
 from warnings import warn

pyproject.toml

@@ -11,7 +11,7 @@ maintainers = [
   { name="Faisal Dosani", email="[email protected]" }
 ]
 license = {text = "Apache Software License"}
-dependencies = ["pandas<=2.2.3,>=0.25.0", "numpy<=2.1.2,>=1.22.0", "ordered-set<=4.1.0,>=4.0.2", "fugue<=0.9.1,>=0.8.7", "polars<=1.7.0,>=0.20.4"]
+dependencies = ["pandas<=2.2.3,>=0.25.0", "numpy<=2.1.2,>=1.22.0", "ordered-set<=4.1.0,>=4.0.2", "fugue<=0.9.1,>=0.8.7", "polars<=1.12.0,>=0.20.4"]
 requires-python = ">=3.9.0"
 classifiers = [
     "Intended Audience :: Developers",
@@ -138,7 +138,7 @@ ignore_missing_imports = true
 python_version = "3.10"
 conda_install = ["openjdk=8"]
 extras = ["dev"]
-command = "pytest tests -m 'not integration'"
+command = "pytest tests/ --ignore=tests/test_snowflake.py"
 upgrade = [
     "pandas",
     "numpy",

tests/test_polars.py

@@ -387,7 +387,7 @@ def test_compare_df_setter_bad():
     with raises(ValueError, match="df1 must have all columns from join_columns"):
         PolarsCompare(df, df.clone(), ["b"])
     with raises(
-        DuplicateError, match="column with name 'a' has more than one occurrences"
+        DuplicateError, match="column with name 'a' has more than one occurrence"
     ):
         PolarsCompare(df_same_col_names, df_same_col_names.clone(), ["a"])
     assert PolarsCompare(df_dupe, df_dupe.clone(), ["a", "b"]).df1.equals(df_dupe)
@@ -419,7 +419,7 @@ def test_compare_df_setter_bad_index():
     with raises(TypeError, match="df1 must be a Polars DataFrame"):
         PolarsCompare("a", "a", join_columns="a")
     with raises(
-        DuplicateError, match="column with name 'a' has more than one occurrences"
+        DuplicateError, match="column with name 'a' has more than one occurrence"
     ):
         PolarsCompare(df, df.clone(), join_columns="a")