♻️ Clean up groupby patch diff (#41)

src/mapply/_groupby.py

@@ -2,7 +2,7 @@
 from types import MethodType
 from typing import Any, Callable
 
-from mapply.parallel import multiprocessing_imap
+from mapply.parallel import multiprocessing_imap, tqdm
 
 logger = logging.getLogger(__name__)
 
@@ -22,6 +22,7 @@ def run_groupwise_apply(  # noqa:CCR001
     def apply(self, f, data, axis=0):
         # patching https://github.com/pandas-dev/pandas/blob/v1.5.3/pandas/core/groupby/ops.py#L823
         # with a multiprocessing_imap
+        # +
         from pandas.core.groupby.ops import _is_indexed_like
 
         mutated = False
@@ -30,33 +31,41 @@ def apply(self, f, data, axis=0):
         result_values = []
 
         # This calls DataSplitter.__iter__
-        # -
-        # zipped = zip(group_keys, splitter)
+        zipped = zip(group_keys, splitter)
+
         # +
-        splitter = list(splitter)
+        group_axes_list = []
+        splitter_gen = (
+            (
+                # mimic the side-effects commented out below
+                object.__setattr__(group, "name", key)
+                or group_axes_list.append(group.axes)
+                or group
+            )
+            for key, group in zipped
+        )
+        splitter_gen = tqdm(splitter_gen, disable=True, total=splitter.ngroups)
         zipped = zip(
-            group_keys,
-            splitter,
             multiprocessing_imap(
-                f, splitter, n_workers=n_workers, progressbar=progressbar
+                f, splitter_gen, n_workers=n_workers, progressbar=progressbar
             ),
+            group_axes_list,
         )
 
         # -
         # for key, group in zipped:
+        #     # Pinning name is needed for
+        #     #  test_group_apply_once_per_group,
+        #     #  test_inconsistent_return_type, test_set_group_name,
+        #     #  test_group_name_available_in_inference_pass,
+        #     #  test_groupby_multi_timezone
+        #     object.__setattr__(group, "name", key)
+        #     # group might be modified
+        #     group_axes = group.axes
+        #     res = f(group)
         # +
-        for key, group, res in zipped:
-            # Pinning name is needed for
-            #  test_group_apply_once_per_group,
-            #  test_inconsistent_return_type, test_set_group_name,
-            #  test_group_name_available_in_inference_pass,
-            #  test_groupby_multi_timezone
-            object.__setattr__(group, "name", key)
-
-            # group might be modified
-            group_axes = group.axes
-            # -
-            # res = f(group)
+        for res, group_axes in zipped:
+            # no changes made below this line
             if not mutated and not _is_indexed_like(res, group_axes, axis):
                 mutated = True
             result_values.append(res)