Testing: Pull makeTimeDataFrame and makeMixedDataFrame from pueblo

`pandas._testing.{makeTimeDataFrame,makeMixedDataFrame}` were removed on
behalf of pandas 2.2.0. This patch pulls corresponding polyfills from
a hostel package.

docs/dataframe.rst

@@ -76,8 +76,8 @@ The package provides a ``bulk_insert`` function to use the
 workload across multiple batches, using a defined chunk size.
 
     >>> import sqlalchemy as sa
-    >>> from pandas._testing import makeTimeDataFrame
     >>> from crate.client.sqlalchemy.support import insert_bulk
+    >>> from pueblo.testing.pandas import makeTimeDataFrame
     ...
     >>> # Define number of records, and chunk size.
     >>> INSERT_RECORDS = 42
@@ -159,8 +159,8 @@ in a batched/chunked manner, using a defined chunk size, effectively using the
 pandas implementation introduced in the previous section.
 
     >>> import dask.dataframe as dd
-    >>> from pandas._testing import makeTimeDataFrame
     >>> from crate.client.sqlalchemy.support import insert_bulk
+    >>> from pueblo.testing.pandas import makeTimeDataFrame
     ...
     >>> # Define the number of records, the number of computing partitions,
     >>> # and the chunk size of each database insert operation.

pyproject.toml

@@ -110,6 +110,7 @@ release = [
 test = [
   "dask",
   "pandas<2.3",
+  "pueblo>=0.0.7",
   "pytest<9",
   "pytest-cov<5",
   "pytest-mock<4",

tests/bulk_test.py

@@ -176,7 +176,7 @@ def test_bulk_save_pandas(self, mock_cursor):
         """
         Verify bulk INSERT with pandas.
         """
-        from pandas._testing import makeTimeDataFrame
+        from pueblo.testing.pandas import makeTimeDataFrame
         from sqlalchemy_cratedb import insert_bulk
 
         # 42 records / 8 chunksize = 5.25, which means 6 batches will be emitted.
@@ -216,7 +216,7 @@ def test_bulk_save_dask(self, mock_cursor):
         Verify bulk INSERT with Dask.
         """
         import dask.dataframe as dd
-        from pandas._testing import makeTimeDataFrame
+        from pueblo.testing.pandas import makeTimeDataFrame
         from sqlalchemy_cratedb import insert_bulk
 
         # 42 records / 4 partitions means each partition has a size of 10.5 elements.