[dask] Refactor for learning to rank. (dmlc#11012)

- Move data handling code into an independent module.
- Move ranking tests into an independent module.
- Use global pylint disable for import error.
- Remove the old ranking demo.

python-package/pyproject.toml

@@ -21,6 +21,7 @@ classifiers = [
     "License :: OSI Approved :: Apache Software License",
     "Development Status :: 5 - Production/Stable",
     "Operating System :: OS Independent",
+    "Typing :: Typed",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3.10",
@@ -59,10 +60,10 @@ follow_imports = "silent"
 ignore = ["tests"]
 extension-pkg-whitelist = ["numpy"]
 disable = [
+    "import-error",
     "attribute-defined-outside-init",
     "import-outside-toplevel",
     "too-many-nested-blocks",
-    "unexpected-special-method-signature",
     "unsubscriptable-object",
     "useless-object-inheritance"
 ]

python-package/xgboost/compat.py

@@ -32,15 +32,12 @@ def lazy_isinstance(instance: Any, module: str, name: str) -> bool:
 
 # pandas
 try:
-    from pandas import DataFrame, MultiIndex, Series
-    from pandas import concat as pandas_concat
+    from pandas import DataFrame, Series
 
     PANDAS_INSTALLED = True
 except ImportError:
-    MultiIndex = object
     DataFrame = object
     Series = object
-    pandas_concat = None
     PANDAS_INSTALLED = False
 
 
@@ -106,7 +103,7 @@ def import_cupy() -> types.ModuleType:
     if not is_cupy_available():
         raise ImportError("`cupy` is required for handling CUDA buffer.")
 
-    import cupy  # pylint: disable=import-error
+    import cupy
 
     return cupy
 
@@ -132,17 +129,19 @@ def concat(value: Sequence[_T]) -> _T:  # pylint: disable=too-many-return-statem
         # other sparse format will be converted to CSR.
         return scipy_sparse.vstack(value, format="csr")
     if PANDAS_INSTALLED and isinstance(value[0], (DataFrame, Series)):
-        return pandas_concat(value, axis=0)
+        from pandas import concat as pd_concat
+
+        return pd_concat(value, axis=0)
     if lazy_isinstance(value[0], "cudf.core.dataframe", "DataFrame") or lazy_isinstance(
         value[0], "cudf.core.series", "Series"
     ):
-        from cudf import concat as CUDF_concat  # pylint: disable=import-error
+        from cudf import concat as CUDF_concat
 
         return CUDF_concat(value, axis=0)
     from .data import _is_cupy_alike
 
     if _is_cupy_alike(value[0]):
-        import cupy  # pylint: disable=import-error
+        import cupy
 
         # pylint: disable=c-extension-no-member,no-member
         d = cupy.cuda.runtime.getDevice()