Improved deprecation warnings. (#9347)

This PR improves deprecation warnings. I fixed some typos to make it easier to grep for deprecations, and added the warning type `DeprecationWarning` where appropriate. (Found these issues while looking for examples of deprecations for #9291.)

Authors:
  - Bradley Dice (https://github.com/bdice)

Approvers:
  - Vyas Ramasubramani (https://github.com/vyasr)
  - Ashwin Srinath (https://github.com/shwina)
  - GALI PREM SAGAR (https://github.com/galipremsagar)

URL: #9347

python/cudf/cudf/core/column/string.py

@@ -4595,7 +4595,7 @@ def subword_tokenize(
         This function requires about 21x the number of character bytes
         in the input strings column as working memory.
 
-        ``ser.str.subword_tokenize`` will be depreciated in future versions.
+        ``Series.str.subword_tokenize`` is deprecated and will be removed.
         Use ``cudf.core.subword_tokenizer.SubwordTokenizer`` instead.
 
         Parameters
@@ -4669,14 +4669,13 @@ def subword_tokenize(
         array([[0, 0, 2],
                [1, 0, 1]], dtype=uint32)
         """
-        warning_message = (
-            "`ser.str.subword_tokenize` API will be depreciated"
-            " in future versions of cudf.\n"
-            "Use `cudf.core.subword_tokenizer.SubwordTokenizer` "
-            "instead"
+        warnings.warn(
+            "`Series.str.subword_tokenize` is deprecated and will be removed "
+            "in future versions of cudf. Use "
+            "`cudf.core.subword_tokenizer.SubwordTokenizer` instead.",
+            FutureWarning,
         )
 
-        warnings.warn(warning_message, FutureWarning)
         tokens, masks, metadata = libstrings.subword_tokenize_vocab_file(
             self._column,
             hash_file,

python/cudf/cudf/core/index.py

@@ -609,7 +609,7 @@ def deserialize(cls, header, frames):
                 "21.10 or older will no longer be deserializable "
                 "after version 21.12. Please load and resave any "
                 "pickles before upgrading to version 22.02.",
-                DeprecationWarning,
+                FutureWarning,
             )
             header["columns"] = [header.pop("index_column")]
             header["column_names"] = pickle.dumps(

python/cudf/cudf/core/multiindex.py

@@ -867,7 +867,7 @@ def deserialize(cls, header, frames):
                 "21.10 or older will no longer be deserializable "
                 "after version 21.12. Please load and resave any "
                 "pickles before upgrading to version 22.02.",
-                DeprecationWarning,
+                FutureWarning,
             )
             header["column_names"] = header["names"]
         column_names = pickle.loads(header["column_names"])
@@ -877,7 +877,7 @@ def deserialize(cls, header, frames):
                 "21.08 or older will no longer be deserializable "
                 "after version 21.10. Please load and resave any "
                 "pickles before upgrading to version 21.12.",
-                DeprecationWarning,
+                FutureWarning,
             )
             df = cudf.DataFrame.deserialize(header["source_data"], frames)
             return cls.from_frame(df)._set_names(column_names)

python/cudf/cudf/core/series.py

@@ -378,7 +378,7 @@ def deserialize(cls, header, frames):
                 "21.10 or older will no longer be deserializable "
                 "after version 21.12. Please load and resave any "
                 "pickles before upgrading to version 22.02.",
-                DeprecationWarning,
+                FutureWarning,
             )
             header["columns"] = [header.pop("column")]
             header["column_names"] = pickle.dumps(
@@ -790,7 +790,7 @@ def to_frame(self, name=None):
     def set_mask(self, mask, null_count=None):
         warnings.warn(
             "Series.set_mask is deprecated and will be removed in the future.",
-            DeprecationWarning,
+            FutureWarning,
         )
         return self._from_data(
             {self.name: self._column.set_mask(mask)}, self._index
@@ -3171,7 +3171,7 @@ def update(self, other):
     def reverse(self):
         warnings.warn(
             "Series.reverse is deprecated and will be removed in the future.",
-            DeprecationWarning,
+            FutureWarning,
         )
         rinds = column.arange((self._column.size - 1), -1, -1, dtype=np.int32)
         return self._from_data(
@@ -3295,9 +3295,9 @@ def label_encoding(self, cats, dtype=None, na_sentinel=-1):
         """
 
         warnings.warn(
-            "Series.label_encoding is deprecated and will be removed in the future.\
-                 Consider using cuML's LabelEncoder instead",
-            DeprecationWarning,
+            "Series.label_encoding is deprecated and will be removed in the "
+            "future. Consider using cuML's LabelEncoder instead.",
+            FutureWarning,
         )
 
         def _return_sentinel_series():

python/dask_cudf/dask_cudf/core.py

@@ -298,16 +298,16 @@ def var(
             return _parallel_var(self, meta, skipna, split_every, out)
 
     def repartition(self, *args, **kwargs):
-        """ Wraps dask.dataframe DataFrame.repartition method.
+        """Wraps dask.dataframe DataFrame.repartition method.
         Uses DataFrame.shuffle if `columns=` is specified.
         """
         # TODO: Remove this function in future(0.17 release)
         columns = kwargs.pop("columns", None)
         if columns:
             warnings.warn(
-                "The column argument will be removed from repartition in "
-                " future versions of dask_cudf. Use DataFrame.shuffle().",
-                DeprecationWarning,
+                "The columns argument will be removed from repartition in "
+                "future versions of dask_cudf. Use DataFrame.shuffle().",
+                FutureWarning,
             )
             warnings.warn(
                 "Rearranging data by column hash. Divisions will lost. "

python/dask_cudf/dask_cudf/io/parquet.py

@@ -371,7 +371,8 @@ def read_parquet(
     if row_groups_per_part:
         warnings.warn(
             "row_groups_per_part is deprecated. "
-            "Pass an integer value to split_row_groups instead."
+            "Pass an integer value to split_row_groups instead.",
+            FutureWarning,
         )
         if split_row_groups is None:
             split_row_groups = row_groups_per_part