FIX-#7277: Remove Cudf storage format as unmaintained (#7290)

Signed-off-by: Anatoly Myachev <[email protected]>

Author: anmyachev

docs/conf.py

@@ -27,8 +27,6 @@ def noop_decorator(*args, **kwargs):
 
 # fake modules if they're missing
 for mod_name in (
-    "cudf",
-    "cupy",
     "xgboost",
     "unidist",
     "unidist.config",
@@ -39,10 +37,6 @@ def noop_decorator(*args, **kwargs):
         sys.modules[mod_name] = types.ModuleType(
             mod_name, f"fake {mod_name} for building docs"
         )
-if not hasattr(sys.modules["cudf"], "DataFrame"):
-    sys.modules["cudf"].DataFrame = type("DataFrame", (object,), {})
-if not hasattr(sys.modules["cupy"], "ndarray"):
-    sys.modules["cupy"].ndarray = type("ndarray", (object,), {})
 if not hasattr(sys.modules["xgboost"], "Booster"):
     sys.modules["xgboost"].Booster = type("Booster", (object,), {})
 if not hasattr(sys.modules["unidist"], "remote"):

docs/development/architecture.rst

@@ -223,10 +223,6 @@ documentation page on :doc:`contributing </development/contributing>`.
     - Uses native python execution - mainly used for debugging.
     - The storage format is `pandas` and the in-memory partition type is a pandas DataFrame.
     - For more information on the execution path, see the :doc:`pandas on Python </flow/modin/core/execution/python/implementations/pandas_on_python/index>` page.
-- cuDF on Ray (experimental)
-    - Uses the Ray_ execution framework.
-    - The storage format is `cudf` and the in-memory partition type is a cuDF DataFrame.
-    - For more information on the execution path, see the :doc:`cuDF on Ray </flow/modin/core/execution/ray/implementations/cudf_on_ray/index>` page.
 
 .. _directory-tree:
 
@@ -300,7 +296,6 @@ details. The documentation covers most modules, with more docs being added every
    │   │   │   │   ├───common
    │   │   │   │   ├─── :doc:`generic </flow/modin/core/execution/ray/generic>`
    │   │   │   │   └───implementations
-   │   │   │   │       ├─── :doc:`cudf_on_ray </flow/modin/core/execution/ray/implementations/cudf_on_ray/index>`
    │   │   │   │       └─── :doc:`pandas_on_ray </flow/modin/core/execution/ray/implementations/pandas_on_ray/index>`
    │   │   │   └───unidist
    │   │   │       ├───common
@@ -310,7 +305,6 @@ details. The documentation covers most modules, with more docs being added every
    │   │   ├─── :doc:`io </flow/modin/core/io/index>`
    │   │   └─── :doc:`storage_formats </flow/modin/core/storage_formats/index>`
    │   │       ├─── :doc:`base </flow/modin/core/storage_formats/base/query_compiler>`
-   │   │       ├───cudf
    │   │       └─── :doc:`pandas </flow/modin/core/storage_formats/pandas/index>`
    │   ├───distributed
    │   │   ├───dataframe

docs/flow/modin/core/dataframe/index.rst

@@ -29,7 +29,6 @@ Engine specific:
 Execution system specific:
 
 * :doc:`Modin PandasOnRayDataframe </flow/modin/core/execution/ray/implementations/pandas_on_ray/index>` is a specialization of the Core Modin Dataframe for ``PandasOnRay`` execution.
-* :doc:`Modin cuDFOnRayDataframe </flow/modin/core/execution/ray/implementations/cudf_on_ray/index>` is a specialization of the Core Modin Dataframe for ``cuDFOnRay`` execution.
 * :doc:`Modin PandasOnDaskDataframe </flow/modin/core/execution/dask/implementations/pandas_on_dask/index>` is specialization of the Core Modin Dataframe for ``PandasOnDask`` execution.
 * :doc:`Modin PandasOnPythonDataframe </flow/modin/core/execution/python/implementations/pandas_on_python/index>` is a specialization of the Core Modin Dataframe for ``PandasOnPython`` execution.
 * :doc:`Modin PandasOnUnidistDataframe </flow/modin/core/execution/unidist/implementations/pandas_on_unidist/index>` is a specialization of the Core Modin Dataframe for ``PandasOnUnidist`` execution.