First try to test Modin with pandas implementation of dataframe api protocol

.github/workflows/earliest_versions.yml

@@ -31,4 +31,4 @@ jobs:
       - name: install-reqs
         run: python -m pip install --upgrade tox virtualenv setuptools pip && python -m pip install -r requirements-dev.txt
       - name: Run pytest
-        run: pytest tests --cov=dataframe_api_compat --cov=tests --cov-fail-under=80
+        run: pytest tests --cov=dataframe_api_compat/pandas_standard --cov=dataframe_api_compat/polars_standard --cov=tests --cov-fail-under=80

.github/workflows/mkdocs.yml

@@ -19,14 +19,11 @@ jobs:
         with:
           python-version: 3.x
       - run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
-
-
       - uses: actions/cache@v3
         with:
           key: mkdocs-material-${{ env.cache_id }}
           path: .cache
           restore-keys: |
             mkdocs-material-
-      - run: pip install -r docs/requirements-docs.txt -e . pandas polars
-
+      - run: pip install -r docs/requirements-docs.txt -e . pandas "polars<0.20.8"
       - run: mkdocs gh-deploy --force

.github/workflows/random_version.yml

@@ -35,4 +35,4 @@ jobs:
       - name: install-reqs
         run: python -m pip install --upgrade tox virtualenv setuptools pip && python -m pip install -r requirements-dev.txt
       - name: Run pytest
-        run: pytest tests --cov=dataframe_api_compat --cov=tests --cov-fail-under=80
+        run: pytest tests --cov=dataframe_api_compat/pandas_standard --cov=dataframe_api_compat/polars_standard --cov=tests --cov-fail-under=80

.github/workflows/tox.yml

@@ -28,17 +28,32 @@ jobs:
           key: ${{ runner.os }}-build-${{ matrix.python-version }}
       - name: install-reqs
         run: python -m pip install --upgrade tox virtualenv setuptools pip -r requirements-dev.txt
-      - name: Run pytest
-        run: pytest tests --cov=dataframe_api_compat --cov=tests --cov-fail-under=100
+      - name: Run pytest for pandas and polars
+        run: |
+          pytest tests --cov=dataframe_api_compat/pandas_standard --cov=tests --cov-append --cov-fail-under=50 --cov-report= --library pandas-numpy
+          pytest tests --cov=dataframe_api_compat/pandas_standard --cov=tests --cov-append --cov-fail-under=50 --cov-report= --library pandas-nullable
+          pytest tests --cov=dataframe_api_compat/polars_standard --cov=tests --cov-append --cov-fail-under=95 --library polars-lazy
       - name: install type-checking reqs
         run: python -m pip install 'git+https://github.com/data-apis/dataframe-api.git#egg=dataframe_api&subdirectory=spec/API_specification' mypy typing-extensions
       - name: run mypy
-        run: mypy dataframe_api_compat tests
+        run: mypy dataframe_api_compat/pandas_standard dataframe_api_compat/polars_standard
       - name: run polars integration tests
         run: pip uninstall pandas -y && pytest tests/integration/upstream_test.py::TestPolars && pip install -U pandas
       - name: run pandas integration tests
         run: pip uninstall polars -y && pytest tests/integration/upstream_test.py::TestPandas
-
+      - name: Update env for modin
+        run: |
+          python -m pip uninstall -r requirements-dev.txt -y
+          python -m pip install -r requirements-dev-modin.txt
+      - name: Run pytest for modin
+        run: |
+          pytest tests --cov=dataframe_api_compat/modin_standard --cov=tests --cov-append --cov-fail-under=100 --library modin
+      - name: install type-checking reqs
+        run: python -m pip install 'git+https://github.com/data-apis/dataframe-api.git#egg=dataframe_api&subdirectory=spec/API_specification' mypy typing-extensions
+      - name: run mypy
+        run: |
+          mypy dataframe_api_compat/modin_standard
+          mypy tests --follow-imports silent
   tox-all-supported:
     strategy:
       matrix:

dataframe_api_compat/__init__.py

@@ -1,13 +1,19 @@
 from __future__ import annotations
 
-import contextlib
+import importlib
+from typing import TYPE_CHECKING
 
-with contextlib.suppress(ModuleNotFoundError):
-    from dataframe_api_compat import pandas_standard
+if TYPE_CHECKING:
+    from types import ModuleType
 
-with contextlib.suppress(ModuleNotFoundError):
-    from dataframe_api_compat import polars_standard
+__all__ = ["pandas_standard", "polars_standard", "modin_standard"]
+
+
+def __getattr__(name: str) -> ModuleType:
+    if name in __all__:
+        return importlib.import_module("." + name, __name__)
+    msg = f"module {__name__!r} has no attribute {name!r}"
+    raise AttributeError(msg)
 
-__all__ = ["pandas_standard", "polars_standard"]
 
 __version__ = "0.2.6"