diff --git a/dask/dataframe/core.py b/dask/dataframe/core.py
--- a/dask/dataframe/core.py
+++ b/dask/dataframe/core.py
@@ -3735,6 +3735,12 @@ def resample(self, rule, closed=None, label=None):
 
         return Resampler(self, rule, closed=closed, label=label)
 
+    @_deprecated(
+        message=(
+            "Will be removed in a future version. "
+            "Please create a mask and filter using .loc instead"
+        )
+    )
     @derived_from(pd.DataFrame)
     def first(self, offset):
         # Let pandas error on bad args
@@ -3769,6 +3775,12 @@ def first(self, offset):
         graph = HighLevelGraph.from_collections(name, dsk, dependencies=[self])
         return new_dd_object(graph, name, self, divs)
 
+    @_deprecated(
+        message=(
+            "Will be removed in a future version. "
+            "Please create a mask and filter using .loc instead"
+        )
+    )
     @derived_from(pd.DataFrame)
     def last(self, offset):
         # Let pandas error on bad args
diff --git a/dask/dataframe/groupby.py b/dask/dataframe/groupby.py
--- a/dask/dataframe/groupby.py
+++ b/dask/dataframe/groupby.py
@@ -1895,6 +1895,11 @@ def idxmin(
         skipna=True,
         numeric_only=no_default,
     ):
+        if axis != no_default:
+            warnings.warn(
+                "`axis` parameter is deprecated and will be removed in a future version.",
+                FutureWarning,
+            )
         if axis in (1, "columns"):
             raise NotImplementedError(
                 f"The axis={axis} keyword is not implemented for groupby.idxmin"
@@ -1925,6 +1930,12 @@ def idxmax(
         skipna=True,
         numeric_only=no_default,
     ):
+        if axis != no_default:
+            warnings.warn(
+                "`axis` parameter is deprecated and will be removed in a future version.",
+                FutureWarning,
+            )
+
         if axis in (1, "columns"):
             raise NotImplementedError(
                 f"The axis={axis} keyword is not implemented for groupby.idxmax"
@@ -2632,6 +2643,11 @@ def shift(
         >>> ddf = dask.datasets.timeseries(freq="1h")
         >>> result = ddf.groupby("name").shift(1, meta={"id": int, "x": float, "y": float})
         """
+        if axis != no_default:
+            warnings.warn(
+                "`axis` parameter is deprecated and will be removed in a future version.",
+                FutureWarning,
+            )
         axis = self._normalize_axis(axis, "shift")
         kwargs = {"periods": periods, "axis": axis}
         if freq is not no_default:
@@ -2768,8 +2784,16 @@ def _normalize_axis(self, axis, method: str):
         if axis is no_default:
             axis = 0
 
+        if axis in ("index", 1):
+            warnings.warn(
+                "Using axis=1 in GroupBy does not require grouping and will be removed "
+                "entirely in a future version.",
+                FutureWarning,
+            )
+
         return axis
 
+    @_deprecated(message="Please use `ffill`/`bfill` or `fillna` without a GroupBy.")
     def fillna(self, value=None, method=None, limit=None, axis=no_default):
         """Fill NA/NaN values using the specified method.
 
diff --git a/dask/dataframe/rolling.py b/dask/dataframe/rolling.py
--- a/dask/dataframe/rolling.py
+++ b/dask/dataframe/rolling.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import datetime
+import warnings
 from numbers import Integral
 
 import pandas as pd
@@ -479,6 +480,13 @@ def __init__(
         # See https://github.com/pandas-dev/pandas/issues/15969
         self._win_type = None if isinstance(self.window, int) else "freq"
 
+        if self.axis in ("index", 1, "rows"):
+            warnings.warn(
+                "Using axis=1 in Rolling has been deprecated and will be removed "
+                "in a future version.",
+                FutureWarning,
+            )
+
     def _rolling_kwargs(self):
         kwargs = {
             "window": self.window,

diff --git a/dask/dataframe/tests/test_dataframe.py b/dask/dataframe/tests/test_dataframe.py
--- a/dask/dataframe/tests/test_dataframe.py
+++ b/dask/dataframe/tests/test_dataframe.py
@@ -4676,13 +4676,22 @@ def test_first_and_last(method):
         for offset in offsets:
             with _check_warning(PANDAS_GE_210, FutureWarning, method):
                 expected = f(df, offset)
-            with _check_warning(PANDAS_GE_210, FutureWarning, method):
+
+            ctx = (
+                pytest.warns(
+                    FutureWarning, match="Will be removed in a future version."
+                )
+                if not PANDAS_GE_210
+                else contextlib.nullcontext()
+            )
+
+            with _check_warning(PANDAS_GE_210, FutureWarning, method), ctx:
                 actual = f(ddf, offset)
             assert_eq(actual, expected)
 
             with _check_warning(PANDAS_GE_210, FutureWarning, method):
                 expected = f(df.A, offset)
-            with _check_warning(PANDAS_GE_210, FutureWarning, method):
+            with _check_warning(PANDAS_GE_210, FutureWarning, method), ctx:
                 actual = f(ddf.A, offset)
             assert_eq(actual, expected)
 
diff --git a/dask/dataframe/tests/test_groupby.py b/dask/dataframe/tests/test_groupby.py
--- a/dask/dataframe/tests/test_groupby.py
+++ b/dask/dataframe/tests/test_groupby.py
@@ -107,11 +107,12 @@ def auto_shuffle_method(shuffle_method):
 
 
 @contextlib.contextmanager
-def groupby_axis_deprecated():
-    ctx = contextlib.nullcontext()
-    if PANDAS_GE_210:
-        ctx = pytest.warns(FutureWarning, match="axis")
-    with ctx:
+def groupby_axis_deprecated(*contexts):
+    with contextlib.ExitStack() as stack:
+        for ctx in contexts:
+            stack.enter_context(ctx)
+        if PANDAS_GE_210:
+            stack.enter_context(pytest.warns(FutureWarning, match="axis"))
         yield
 
 
@@ -1311,27 +1312,36 @@ def test_fillna(axis, group_keys, limit):
     )
     ddf = dd.from_pandas(df, npartitions=2)
 
+    deprecated_ctx = pytest.warns(
+        FutureWarning, match="Please use `ffill`/`bfill` or `fillna` without a GroupBy"
+    )
+
     with groupby_axis_deprecated():
         expected = df.groupby("A", group_keys=group_keys).fillna(0, axis=axis)
-    with groupby_axis_deprecated():
+    with groupby_axis_deprecated(
+        contextlib.nullcontext() if PANDAS_GE_210 else deprecated_ctx
+    ):
         result = ddf.groupby("A", group_keys=group_keys).fillna(0, axis=axis)
     assert_eq(expected, result)
-    assert_eq(
-        df.groupby("A", group_keys=group_keys).B.fillna(0),
-        ddf.groupby("A", group_keys=group_keys).B.fillna(0),
-    )
-    assert_eq(
-        df.groupby(["A", "B"], group_keys=group_keys).fillna(0),
-        ddf.groupby(["A", "B"], group_keys=group_keys).fillna(0),
-    )
 
-    with pytest.raises(NotImplementedError):
+    with deprecated_ctx:
+        assert_eq(
+            df.groupby("A", group_keys=group_keys).B.fillna(0),
+            ddf.groupby("A", group_keys=group_keys).B.fillna(0),
+        )
+    with deprecated_ctx:
+        assert_eq(
+            df.groupby(["A", "B"], group_keys=group_keys).fillna(0),
+            ddf.groupby(["A", "B"], group_keys=group_keys).fillna(0),
+        )
+
+    with pytest.raises(NotImplementedError), deprecated_ctx:
         ddf.groupby("A").fillna({"A": 0})
 
-    with pytest.raises(NotImplementedError):
+    with pytest.raises(NotImplementedError), deprecated_ctx:
         ddf.groupby("A").fillna(pd.Series(dtype=int))
 
-    with pytest.raises(NotImplementedError):
+    with pytest.raises(NotImplementedError), deprecated_ctx:
         ddf.groupby("A").fillna(pd.DataFrame)
 
 
@@ -1757,13 +1767,19 @@ def test_cumulative_axis(func):
     assert_eq(expected, result)
 
     # axis=1
+    deprecate_ctx = pytest.warns(
+        FutureWarning,
+        match="Using axis=1 in GroupBy does not require grouping and will be removed entirely in a future version",
+    )
     with groupby_axis_deprecated():
         expected = getattr(df.groupby("a"), func)(axis=1)
-    with groupby_axis_deprecated():
+    with groupby_axis_deprecated(
+        contextlib.nullcontext() if PANDAS_GE_210 else deprecate_ctx
+    ):
         result = getattr(ddf.groupby("a"), func)(axis=1)
     assert_eq(expected, result)
 
-    with groupby_axis_deprecated():
+    with deprecate_ctx:
         with pytest.raises(ValueError, match="No axis named 1 for object type Series"):
             getattr(ddf.groupby("a").b, func)(axis=1)
 
@@ -2362,13 +2378,21 @@ def test_df_groupby_idx_axis(func, axis):
     ).set_index("idx")
 
     ddf = dd.from_pandas(pdf, npartitions=2)
+
     if axis in (1, "columns"):
-        with pytest.raises(NotImplementedError):
+        with pytest.raises(NotImplementedError), pytest.warns(
+            FutureWarning, match="`axis` parameter is deprecated"
+        ):
             getattr(ddf.groupby("group"), func)(axis=axis)
     else:
         with groupby_axis_deprecated():
             expected = getattr(pdf.groupby("group"), func)(axis=axis)
-        with groupby_axis_deprecated():
+        deprecate_ctx = pytest.warns(
+            FutureWarning, match="`axis` parameter is deprecated"
+        )
+        with groupby_axis_deprecated(
+            contextlib.nullcontext() if PANDAS_GE_210 else deprecate_ctx
+        ):
             result = getattr(ddf.groupby("group"), func)(axis=axis)
         assert_eq(expected, result)
 
@@ -2567,12 +2591,15 @@ def test_groupby_value_counts_10322():
 
 
 @contextlib.contextmanager
-def groupby_axis_and_meta():
+def groupby_axis_and_meta(axis=0):
     # Because we're checking for multiple warnings, we need to record
     # all warnings and inspect them after the fact
     with pytest.warns() as record:
         yield
-    assert len(record) == 2 if PANDAS_GE_210 else 1, [x.message for x in record.list]
+    expected_len = 2 if PANDAS_GE_210 else 1
+    if axis == 1:
+        expected_len += 1
+    assert expected_len, [x.message for x in record.list]
     assert record[-1].category is UserWarning
     assert "`meta` is not specified" in str(record[-1].message)
     if PANDAS_GE_210:
@@ -2595,22 +2622,28 @@ def test_groupby_shift_basic_input(npartitions, period, axis):
 
     with groupby_axis_deprecated():
         expected = pdf.groupby(["a", "c"]).shift(period, axis=axis)
-    with groupby_axis_and_meta():
+    with groupby_axis_and_meta(axis):
         result = ddf.groupby(["a", "c"]).shift(period, axis=axis)
     assert_eq(expected, result)
 
+    with pytest.warns(FutureWarning, match="`axis` parameter is deprecated"):
+        ddf.groupby(["a", "c"]).shift(period, axis=axis)
+
     with groupby_axis_deprecated():
         expected = pdf.groupby(["a"]).shift(period, axis=axis)
-    with groupby_axis_and_meta():
+    with groupby_axis_and_meta(axis):
         result = ddf.groupby(["a"]).shift(period, axis=axis)
     assert_eq(expected, result)
 
     with groupby_axis_deprecated():
         expected = pdf.groupby(pdf.c).shift(period, axis=axis)
-    with groupby_axis_and_meta():
+    with groupby_axis_and_meta(axis):
         result = ddf.groupby(ddf.c).shift(period, axis=axis)
     assert_eq(expected, result)
 
+    with pytest.warns(FutureWarning, match="`axis` parameter is deprecated"):
+        result = ddf.groupby(ddf.c).shift(period, axis=axis)
+
 
 def test_groupby_shift_series():
     pdf = pd.DataFrame(
diff --git a/dask/dataframe/tests/test_rolling.py b/dask/dataframe/tests/test_rolling.py
--- a/dask/dataframe/tests/test_rolling.py
+++ b/dask/dataframe/tests/test_rolling.py
@@ -361,11 +361,10 @@ def test_rolling_axis(kwargs):
     df = pd.DataFrame(np.random.randn(20, 16))
     ddf = dd.from_pandas(df, npartitions=3)
 
-    ctx = (
-        pytest.warns(FutureWarning, match="The 'axis' keyword|Support for axis")
-        if PANDAS_GE_210
-        else contextlib.nullcontext()
-    )
+    ctx = contextlib.nullcontext()
+    if PANDAS_GE_210:
+        ctx = pytest.warns(FutureWarning, match="The 'axis' keyword|Support for axis")
+
     if kwargs["axis"] == "series":
         # Series
         with ctx:
@@ -377,6 +376,8 @@ def test_rolling_axis(kwargs):
         # DataFrame
         with ctx:
             expected = df.rolling(3, **kwargs).mean()
+        if kwargs["axis"] in (1, "rows") and not PANDAS_GE_210:
+            ctx = pytest.warns(FutureWarning, match="Using axis=1 in Rolling")
         with ctx:
             result = ddf.rolling(3, **kwargs).mean()
         assert_eq(expected, result)

DEPR: pandas 3.0 deprecations and the migration to dask-expr
pandas deprecated a bunch of things in the 2.x series that will be removed in pandas 3.0. Some of these things are changes in behaviour that are hard to replace but other things are just syntactic sugar. Examples like this are:

- [ ] GroupBy.fillna -> you can either use ffill/bfill or a regular fillna without a GroupBy at all, this method is useless
- [ ] GroupBys with axis=1 -> no need for grouping at all
- [ ] Rolling axis 1
- [ ] DataFrame.first/last
- [ ] axis in GroupBy.idxmin GroupBy.idxmax
- [ ] axis in GroupBy.shift

I don't want to implement these things for dask-expr just to remove them in a couple of months again, so I propose to deprecate this directly in dask/dask so that we can enforce it when we switch over to dask-expr



dask/dataframe/tests/test_groupby.py::test_cumulative_axis[tasks-cumprod] dask/dataframe/tests/test_groupby.py::test_cumulative_axis[disk-cumsum] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[disk-1-idxmin] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0-1-2] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-columns-idxmax] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1-10-2] dask/dataframe/tests/test_groupby.py::test_fillna[disk-None-False-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-4-True-0] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[disk-0-idxmax] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1-10-1] dask/dataframe/tests/test_rolling.py::test_rolling_axis[kwargs1] dask/dataframe/tests/test_rolling.py::test_rolling_axis[kwargs4] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1--1-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1-1-5] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-4-None-1] dask/dataframe/tests/test_groupby.py::test_fillna[disk-None-None-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-1-False-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-None-True-0] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-None-False-0] dask/dataframe/tests/test_groupby.py::test_cumulative_axis[tasks-cumsum] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0-1-2] dask/dataframe/tests/test_groupby.py::test_fillna[disk-None-False-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1-1-2] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1--1-2] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-4-False-0] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[disk-index-idxmin] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0-10-5] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-4-False-1] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[disk-0-idxmin] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1-1-5] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0--1-5] dask/dataframe/tests/test_groupby.py::test_fillna[disk-4-True-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0-10-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1-10-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0-10-5] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0-10-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-None-False-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-1-True-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0-10-2] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-1-True-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1-1-1] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-index-idxmax] dask/dataframe/tests/test_dataframe.py::test_first_and_last[last] dask/dataframe/tests/test_groupby.py::test_fillna[disk-4-False-0] dask/dataframe/tests/test_groupby.py::test_cumulative_axis[disk-cumprod] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-1-False-0] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-1-idxmin] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0--1-2] dask/dataframe/tests/test_groupby.py::test_fillna[disk-None-None-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0-1-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1--1-5] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0--1-1] dask/dataframe/tests/test_groupby.py::test_fillna[disk-1-False-1] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-0-idxmax] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-index-idxmin] dask/dataframe/tests/test_groupby.py::test_fillna[disk-4-None-0] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-1-idxmax] dask/dataframe/tests/test_groupby.py::test_fillna[disk-1-True-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1--1-2] dask/dataframe/tests/test_groupby.py::test_fillna[disk-4-False-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1-1-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1-10-5] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1-10-5] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1-1-2] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0-1-5] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0--1-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-4-True-1] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-0-idxmin] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-1--1-5] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[disk-index-idxmax] dask/dataframe/tests/test_groupby.py::test_fillna[disk-1-None-0] dask/dataframe/tests/test_dataframe.py::test_first_and_last[first] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[disk-1-idxmax] dask/dataframe/tests/test_rolling.py::test_rolling_axis[kwargs2] dask/dataframe/tests/test_groupby.py::test_fillna[disk-1-True-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-4-None-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0--1-5] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-1-10-2] dask/dataframe/tests/test_groupby.py::test_fillna[disk-4-True-1] dask/dataframe/tests/test_groupby.py::test_fillna[disk-None-True-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0-10-2] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[tasks-columns-idxmin] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-1-None-1] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-1-None-0] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[tasks-0--1-2] dask/dataframe/tests/test_groupby.py::test_fillna[disk-1-False-0] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-None-None-0] dask/dataframe/tests/test_groupby.py::test_fillna[tasks-None-True-1] dask/dataframe/tests/test_groupby.py::test_groupby_shift_basic_input[disk-0-1-5] dask/dataframe/tests/test_groupby.py::test_df_groupby_idx_axis[disk-columns-idxmax] 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dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-5-False] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[std-disk-unobserved-cat_1-unordererd-unknown] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-True-count-c] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-2-False] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[std-tasks-<lambda>4] dask/dataframe/tests/test_groupby.py::test_ffill[disk-None-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[size-tasks-observed-cat_1-unordererd-unknown] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-True-True-False-4-False] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[corr-disk-2-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_true[disk-last] 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dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[cov-disk-1-<lambda>2] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[first-tasks-unobserved-groupby1-unordererd-known] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-False-True-True-4-False] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[idxmin] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[min-disk-1-<lambda>2] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[max-disk-2-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-False-count-by4] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[sum-disk-unobserved-cat_1-unordererd-known] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[disk-False-min] 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dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[size-disk-1-<lambda>2] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[max-tasks-unobserved-groupby1-unordererd-known] dask/dataframe/tests/test_rolling.py::test_rolling_methods[False-5-quantile-args10-False] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[prod-disk-2-<lambda>3] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[std-disk-1-<lambda>2] dask/dataframe/tests/test_dataframe.py::test_quantile_missing[dask] dask/dataframe/tests/test_dataframe.py::test_dropna dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-False-True-False-1-False] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[max-disk-<lambda>4] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup3-False-False-False-4-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[mean-tasks-unobserved-groupby1-unordererd-unknown] dask/dataframe/tests/test_rolling.py::test_groupby_rolling_with_integer_window_raises dask/dataframe/tests/test_dataframe.py::test_mask_where_array_like[df1-cond1] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup5-False-True-True-1-False] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[corr-disk-2-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_repartition_freq_day dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-5-min-args4-False] dask/dataframe/tests/test_groupby.py::test_groupby_get_group[disk-False-<lambda>2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[nunique-disk-1-<lambda>3] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-3.5-True-False-drop8] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-5-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[max-tasks-<lambda>6] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[disk-<lambda>1-<lambda>11] dask/dataframe/tests/test_groupby.py::test_bfill[disk-None-False] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[sum-disk-2-<lambda>2] dask/dataframe/tests/test_dataframe.py::test_pyarrow_extension_dtype[uint8[pyarrow]] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[first-tasks-1-<lambda>1] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[std-disk-1-<lambda>3] dask/dataframe/tests/test_dataframe.py::test_describe[None-None-None-subset1] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-True-count-by3] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[first-tasks-1-<lambda>2] 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dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-False-False-False-4-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[mean-disk-unobserved-groupby1-ordered-known] dask/dataframe/tests/test_groupby.py::test_groupby_multi_index_with_row_operations[tasks-tail] dask/dataframe/tests/test_groupby.py::test_groupby_column_and_index_agg_funcs[tasks-first] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[prod-disk-2-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-M8[ns]-4-4-True] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[count-tasks-2-<lambda>2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[std-tasks-1-<lambda>2] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-True-False-True-4-True] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle_multilevel[disk-<lambda>1-<lambda>4] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument_agg[disk-False-agg2] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-True-True-True-4-False] dask/dataframe/tests/test_rolling.py::test_rolling_methods[False-4-skew-args8-True] dask/dataframe/tests/test_rolling.py::test_time_rolling_cov[3s] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[last-tasks-unobserved-cat_1-unordererd-unknown] dask/dataframe/tests/test_groupby.py::test_groupby_agg_grouper_multiple[tasks-slice_3] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[max-tasks-<lambda>3] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[disk-True-min] dask/dataframe/tests/test_groupby.py::test_groupby_reduction_split[count-disk-split_every] dask/dataframe/tests/test_dataframe.py::test_mode_numeric_only dask/dataframe/tests/test_dataframe.py::test_shift_with_freq_TimedeltaIndex dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[last-disk-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_split_out_num[tasks] dask/dataframe/tests/test_groupby.py::test_groupby_internal_repr[disk] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[mean-disk-<lambda>3] dask/dataframe/tests/test_groupby.py::test_df_groupby_idxmin[tasks] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categoricals[tasks-<lambda>-<lambda>1] dask/dataframe/tests/test_dataframe.py::test_drop_columns[columns0] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-True-std-c] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[max-tasks-unobserved-cat_1-unordererd-known] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-1-sum-args1-False] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[last-disk-unobserved-cat_1-unordererd-unknown] dask/dataframe/tests/test_groupby.py::test_series_groupby_agg_custom_mean[tasks-pandas_spec2-dask_spec2] dask/dataframe/tests/test_groupby.py::test_aggregate__single_element_groups[first-tasks] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[min-tasks-2-<lambda>4] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-True-True-True-4-True] dask/dataframe/tests/test_groupby.py::test_shuffle_aggregate_sort[disk-True] dask/dataframe/tests/test_groupby.py::test_groupby_agg_grouper_single[disk] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions_numeric_edge_case dask/dataframe/tests/test_dataframe.py::test_repartition_partition_size[<lambda>1-379-2-False] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[prod-disk-<lambda>5] dask/dataframe/tests/test_groupby.py::test_groupby_reduction_split[var-disk-split_out] dask/dataframe/tests/test_dataframe.py::test_repartition_partition_size[<lambda>0-1kiB-2-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_partial_function_unexpected_kwargs[disk-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[std-disk-unobserved-groupby1-ordered-known] dask/dataframe/tests/test_groupby.py::test_groupby_transform_ufunc_partitioning[disk-indexed-8] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-True-std-by3] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[prod-disk-observed-cat_1-unordererd-known] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[sum-tasks-<lambda>5] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle_multilevel[tasks-<lambda>0-<lambda>3] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[max-disk-1-<lambda>2] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[tasks-True-max] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-5-apply-args11-False] dask/dataframe/tests/test_rolling.py::test_rolling_methods[False-5-mean-args2-False] dask/dataframe/tests/test_groupby.py::test_groupby_agg_grouper_single[tasks] dask/dataframe/tests/test_groupby.py::test_cumulative[disk-cumsum-a-c] dask/dataframe/tests/test_groupby.py::test_series_groupby_cumfunc_with_named_index[disk-cumprod-1] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[last-tasks-<lambda>4] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_true[disk-max] dask/dataframe/tests/test_groupby.py::test_groupby_agg_custom__name_clash_with_internal_different_column[disk] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[max-disk-observed-groupby1-ordered-known] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[first-disk-1-<lambda>2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[prod-disk-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[nunique-tasks-<lambda>3] dask/dataframe/tests/test_dataframe.py::test_quantile_tiny_partitions dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[size-disk-unobserved-groupby1-ordered-unknown] dask/dataframe/tests/test_groupby.py::test_groupby_split_out_multiindex[disk-column0-2] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_not_implemented[tasks-False-mean] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-float-1-4-True] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[first-tasks-2-<lambda>0] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup4-False-False-False-1-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[std-disk-unobserved-groupby1-unordererd-known] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument_agg[disk-False-agg0] dask/dataframe/tests/test_dataframe.py::test_select_dtypes[include2-exclude2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[std-disk-2-<lambda>0] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[size-tasks-2-<lambda>2] dask/dataframe/tests/test_groupby.py::test_groupby_dropna_pandas[disk-False] dask/dataframe/tests/test_rolling.py::test_rolling_methods[False-5-count-args0-False] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[median-disk-unobserved-groupby1-unordererd-known] dask/dataframe/tests/test_dataframe.py::test_map_freq_to_period_start[Y-AS-None1] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[size-tasks-1-<lambda>4] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-2-sum-args1-False] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-True-std-a] dask/dataframe/tests/test_groupby.py::test_ffill[tasks-1-True] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle_multilevel[tasks-<lambda>1-<lambda>3] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[size-disk-1-<lambda>4] dask/dataframe/tests/test_dataframe.py::test_pyarrow_extension_dtype[float64[pyarrow]] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[mean-tasks-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_dropna_with_agg[disk-True] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-3.5-False-False-drop7] dask/dataframe/tests/test_groupby.py::test_split_out_multi_column_groupby[tasks] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[max-disk-1-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-M8[ns]-4-1-True] dask/dataframe/tests/test_rolling.py::test_map_overlap[False-1] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[median-tasks-unobserved-groupby1-ordered-unknown] dask/dataframe/tests/test_dataframe.py::test_custom_map_reduce dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[var-disk-2-<lambda>0] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[mean-disk-2-<lambda>4] dask/dataframe/tests/test_groupby.py::test_groupby_meta_content[tasks-<lambda>2-<lambda>4] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[prod-tasks-2-<lambda>2] dask/dataframe/tests/test_groupby.py::test_cumulative[tasks-cumprod-a-sel3] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[prod-disk-2-<lambda>4] dask/dataframe/tests/test_groupby.py::test_series_groupby_idxmin_skipna[disk-True] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-4-skew-args8-True] dask/dataframe/tests/test_groupby.py::test_ffill[disk-1-True] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-True-count-by4] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[min-disk-<lambda>0] dask/dataframe/tests/test_groupby.py::test_bfill[disk-1-True] dask/dataframe/tests/test_groupby.py::test_groupby_sort_true_split_out[tasks] dask/dataframe/tests/test_groupby.py::test_dataframe_named_agg[disk-True] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[prod-disk-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[min-disk-2-<lambda>1] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup4-False-True-False-1-True] dask/dataframe/tests/test_dataframe.py::test_sample_without_replacement dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[median-disk-<lambda>5] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup0-True-True-True-4-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[cov-disk-<lambda>4] dask/dataframe/tests/test_dataframe.py::test_with_boundary[-0.5-None-False-False-drop4] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[count-tasks-<lambda>4] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[min-tasks-1-<lambda>1] dask/dataframe/tests/test_dataframe.py::test_split_out_drop_duplicates[2] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[max-tasks-observed-cat_1-ordered-known] dask/dataframe/tests/test_dataframe.py::test_mask_where_callable dask/dataframe/tests/test_rolling.py::test_time_rolling_cov[1s] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[disk-<lambda>1-<lambda>10] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[min-disk-2-<lambda>0] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[corr-tasks-1-<lambda>1] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[first-disk-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-False-std-a] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-float-1-4-False] dask/dataframe/tests/test_rolling.py::test_time_rolling[6s-6s] dask/dataframe/tests/test_groupby.py::test_aggregate__single_element_groups[cov-tasks] dask/dataframe/tests/test_rolling.py::test_map_overlap_names[False-False-True-1] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-float-4-1-False] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[median-disk-2-<lambda>4] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[min-disk-2-<lambda>2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[sum-disk-1-<lambda>2] dask/dataframe/tests/test_groupby.py::test_groupby_column_and_index_agg_funcs[disk-max] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[tasks-False-median] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[mean-disk-2-<lambda>3] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[sum-disk-unobserved-cat_1-ordered-unknown] dask/dataframe/tests/test_groupby.py::test_empty_partitions_with_value_counts[disk-A] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_true[tasks-corr] dask/dataframe/tests/test_groupby.py::test_groupby_None_split_out_warns[tasks] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[last-tasks-1-<lambda>3] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[first-tasks-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_series_groupby_idxmax[disk] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-2-False] dask/dataframe/tests/test_groupby.py::test_groupby_dataframe_cum_caching[tasks-cumsum] dask/dataframe/tests/test_rolling.py::test_time_rolling_methods[window3-sum-args1-False] dask/dataframe/tests/test_groupby.py::test_groupby_reduction_split[corr-tasks-split_every] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[cov-disk-2-<lambda>0] dask/dataframe/tests/test_rolling.py::test_map_overlap_names[False-False-False-4] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[last-disk-unobserved-cat_1-ordered-known] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-M8[ns]-4-2-False] dask/dataframe/tests/test_dataframe.py::test_quantile[0.9-tdigest] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-M8[ns]-2-1-True] dask/dataframe/tests/test_groupby.py::test_std_object_dtype[disk-var] dask/dataframe/tests/test_dataframe.py::test_series_map[False-True-1-1] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[max-disk-2-<lambda>2] dask/dataframe/tests/test_dataframe.py::test_drop_axis_1 dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[tasks-<lambda>0-<lambda>0] dask/dataframe/tests/test_groupby.py::test_shuffle_aggregate_defaults[tasks] dask/dataframe/tests/test_groupby.py::test_groupby_split_out_num[disk] dask/dataframe/tests/test_groupby.py::test_series_groupby_idxmin_skipna[tasks-True] dask/dataframe/tests/test_rolling.py::test_rolling_cov[True-4] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-5-count-args0-False] dask/dataframe/tests/test_dataframe.py::test_repartition_partition_size[<lambda>0-1kiB-2-False] dask/dataframe/tests/test_dataframe.py::test_shift_with_freq_PeriodIndex[B-False] dask/dataframe/tests/test_dataframe.py::test_to_dask_array[True-False-None] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-2-std-args6-True] dask/dataframe/tests/test_groupby.py::test_groupby_slice_getitem[disk-value-key1] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_true[disk-cov] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[count-tasks-1-<lambda>2] dask/dataframe/tests/test_dataframe.py::test_series_round dask/dataframe/tests/test_groupby.py::test_groupby_group_keys[tasks-False] dask/dataframe/tests/test_rolling.py::test_time_rolling_methods[3s-min-args4-False] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[median-disk-2-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categoricals[disk-<lambda>-<lambda>3] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[prod-tasks-<lambda>5] dask/dataframe/tests/test_groupby.py::test_groupby_value_counts[tasks-int64-by1] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[mean-disk-2-<lambda>2] dask/dataframe/tests/test_dataframe.py::test_dataframe_quantile[False-dask-expected1] dask/dataframe/tests/test_dataframe.py::test_cumulative_empty_partitions[func1] dask/dataframe/tests/test_groupby.py::test_aggregate__single_element_groups[nunique-disk] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[sum-tasks-1-<lambda>4] dask/dataframe/tests/test_groupby.py::test_empty_partitions_with_value_counts[tasks-by1] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup5-True-True-False-1-False] dask/dataframe/tests/test_dataframe.py::test_memory_usage_per_partition[False-True] dask/dataframe/tests/test_rolling.py::test_time_rolling_methods[2s-mean-args2-False] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[min-tasks-1-<lambda>0] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-4-kurt-args9-True] dask/dataframe/tests/test_dataframe.py::test_cov_dataframe[True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[sum-tasks-<lambda>1] dask/dataframe/tests/test_dataframe.py::test_align_axis[outer] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-float-4-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-M8[ns]-2-5-True] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup4-False-False-False-4-False] dask/dataframe/tests/test_dataframe.py::test_rename_series_method dask/dataframe/tests/test_groupby.py::test_aggregate__single_element_groups[max-disk] dask/dataframe/tests/test_dataframe.py::test_fuse_roots dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[std-tasks-unobserved-groupby1-unordererd-unknown] dask/dataframe/tests/test_dataframe.py::test_setitem dask/dataframe/tests/test_dataframe.py::test_from_dict[2-index-float] dask/dataframe/tests/test_dataframe.py::test_astype_categoricals dask/dataframe/tests/test_groupby.py::test_dataframe_groupby_agg_custom_sum[disk-pandas_spec0-dask_spec0-False] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup4-True-False-False-1-False] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[disk-<lambda>0-<lambda>0] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[nunique-tasks-2-<lambda>2] 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dask/dataframe/tests/test_groupby.py::test_series_groupby_cumfunc_with_named_index[disk-cumsum-2] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[count-disk-unobserved-cat_1-unordererd-known] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-True-False-False-4-False] dask/dataframe/tests/test_dataframe.py::test_dataframe_quantile[True-dask-expected1] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[prod-tasks-<lambda>0] dask/dataframe/tests/test_groupby.py::test_bfill[disk-1-False] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[max-tasks-observed-cat_1-ordered-unknown] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[disk-True-last] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-True-True-True-4-True] dask/dataframe/tests/test_dataframe.py::test_simple_map_partitions 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dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[first-tasks-2-<lambda>4] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-False-True-False-4-True] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup0-True-False-True-1-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[mean-tasks-unobserved-cat_1-ordered-unknown] dask/dataframe/tests/test_dataframe.py::test_gh_517 dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[median-disk-unobserved-groupby1-unordererd-unknown] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-1-max-args5-False] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[size-tasks-observed-groupby1-ordered-known] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[nunique-tasks-<lambda>4] 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dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-False-False-True-4-False] dask/dataframe/tests/test_dataframe.py::test_Dataframe dask/dataframe/tests/test_groupby.py::test_groupby_value_counts[disk-int32-foo] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-True-mean-by3] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[std-tasks-unobserved-cat_1-ordered-known] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[nunique-disk-<lambda>5] dask/dataframe/tests/test_dataframe.py::test_sample_empty_partitions dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[last-disk-2-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-2.5-False-False-drop9] dask/dataframe/tests/test_dataframe.py::test_index_is_monotonic_numeric dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[disk-<lambda>0-<lambda>7] 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dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[sum-tasks-1-<lambda>3] dask/dataframe/tests/test_rolling.py::test_time_rolling_methods[window3-skew-args8-True] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[prod-disk-1-<lambda>2] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup0-False-False-False-1-False] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-True-mean-by4] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[var-tasks-1-<lambda>3] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup3-True-False-False-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-M8[ns]-5-2-False] dask/dataframe/tests/test_groupby.py::test_groupby_reduction_split[mean-disk-split_every] 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dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[size-tasks-observed-cat_1-ordered-known] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[size-tasks-1-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[prod-disk-observed-cat_1-ordered-known] dask/dataframe/tests/test_groupby.py::test_groupby_transform_ufunc_partitioning[tasks-indexed-7] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[disk-<lambda>1-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_drop_duplicates_subset dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[max-tasks-2-<lambda>2] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[first-disk-<lambda>6] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-True-count-by4] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-5-False] 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dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-5-False] dask/dataframe/tests/test_groupby.py::test_groupby_var_dropna_observed[tasks-False-False-std] dask/dataframe/tests/test_dataframe.py::test_dataframe_items[columns1] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-False-True-True-4-True] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[disk-True-median] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[prod-disk-1-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_transform_funcs[tasks-<lambda>] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[count-tasks-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[last-disk-2-<lambda>0] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[var-disk-1-<lambda>4] 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dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[min-disk-<lambda>5] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_agg[tasks] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[sum-disk-<lambda>6] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[corr-tasks-1-<lambda>1] dask/dataframe/tests/test_groupby.py::test_ffill[tasks-None-None] dask/dataframe/tests/test_dataframe.py::test_rename_series_method_2 dask/dataframe/tests/test_groupby.py::test_groupby_slice_getitem[tasks-3-key1] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[min-disk-<lambda>4] dask/dataframe/tests/test_groupby.py::test_groupby_transform_ufunc_partitioning[disk-indexed-2] dask/dataframe/tests/test_dataframe.py::test_eval dask/dataframe/tests/test_groupby.py::test_series_named_agg[tasks-count-False] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[size-tasks-unobserved-groupby1-ordered-unknown] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[min-tasks-observed-cat_1-ordered-known] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[nunique-disk-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_repartition_noop[list] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[var] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[nunique-tasks-1-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_aca_meta_infer dask/dataframe/tests/test_groupby.py::test_aggregate__single_element_groups[sum-disk] dask/dataframe/tests/test_groupby.py::test_series_groupby[tasks] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[cov-tasks-<lambda>5] dask/dataframe/tests/test_rolling.py::test_rolling_methods[False-2-count-args0-False] 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dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[mean-tasks-2-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_slice_getitem[tasks-slice_key2-by1] dask/dataframe/tests/test_dataframe.py::test_nunique[1-False] dask/dataframe/tests/test_groupby.py::test_groupby_get_group[tasks-True-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[std-disk-<lambda>4] dask/dataframe/tests/test_groupby.py::test_groupby_column_and_index_agg_funcs[disk-size] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-5-1] dask/dataframe/tests/test_groupby.py::test_cumulative[tasks-cumcount-a-sel4] dask/dataframe/tests/test_groupby.py::test_dataframe_groupby_agg_custom_sum[tasks-pandas_spec1-dask_spec1-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[mean-disk-unobserved-cat_1-unordererd-known] dask/dataframe/tests/test_groupby.py::test_full_groupby[tasks] dask/dataframe/tests/test_rolling.py::test_time_rolling_large_window_fixed_chunks[10h-100] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup5-True-False-False-1-True] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[size-disk-unobserved-cat_1-unordererd-known] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[max-tasks-unobserved-cat_1-unordererd-unknown] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-2-False] dask/dataframe/tests/test_dataframe.py::test_ffill_bfill dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-1-False] dask/dataframe/tests/test_groupby.py::test_groupby_reduction_split[mean-tasks-split_every] dask/dataframe/tests/test_groupby.py::test_groupy_non_aligned_index[tasks] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[nunique-disk-2-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-True-count-by3] dask/dataframe/tests/test_rolling.py::test_time_rolling_methods[2s-std-args6-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[median-tasks-<lambda>6] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[var-tasks-<lambda>6] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-5-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[count-disk-<lambda>4] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup3-True-False-False-4-True] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup5-True-True-True-4-False] dask/dataframe/tests/test_dataframe.py::test_is_monotonic_deprecated 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dask/dataframe/tests/test_dataframe.py::test_median dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[last-disk-observed-cat_1-unordererd-unknown] dask/dataframe/tests/test_groupby.py::test_aggregate__single_element_groups[size-tasks] dask/dataframe/tests/test_groupby.py::test_shuffle_aggregate[tasks-2-1] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[disk-<lambda>1-<lambda>6] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[disk-False-last] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[mean-tasks-<lambda>5] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup4-True-True-False-4-False] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-5-var-args7-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[corr-disk-<lambda>6] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[first-disk-observed-cat_1-unordererd-unknown] dask/dataframe/tests/test_groupby.py::test_full_groupby_multilevel[tasks-False-<lambda>0] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[sum-disk-1-<lambda>4] dask/dataframe/tests/test_dataframe.py::test_dataframe_doc_from_non_pandas dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-2-4] dask/dataframe/tests/test_dataframe.py::test_memory_usage_dataframe[True-True] dask/dataframe/tests/test_groupby.py::test_cumulative[tasks-cumprod-a-sel4] dask/dataframe/tests/test_groupby.py::test_groupby_transform_ufunc_partitioning[disk-not_indexed-6] dask/dataframe/tests/test_dataframe.py::test_reduction_method_split_every dask/dataframe/tests/test_dataframe.py::test_rename_function dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-False-True-True-1-False] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[prod-tasks-<lambda>6] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[disk-<lambda>0-<lambda>11] dask/dataframe/tests/test_groupby.py::test_hash_groupby_aggregate[tasks-1-2-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[20-5-20] dask/dataframe/tests/test_dataframe.py::test_align[right] dask/dataframe/tests/test_groupby.py::test_groupby_shift_lazy_input[tasks] dask/dataframe/tests/test_dataframe.py::test_map_partitions_method_names dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index8-left8-None] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[std-tasks-<lambda>3] dask/dataframe/tests/test_groupby.py::test_groupby_not_supported[tasks] dask/dataframe/tests/test_groupby.py::test_cumulative[disk-cumcount-a-d] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[median-disk-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[sum-disk-observed-cat_1-unordererd-known] dask/dataframe/tests/test_rolling.py::test_time_rolling_methods[1s-min-args4-False] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup3-True-True-False-4-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[count-disk-<lambda>3] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-True-count-b] dask/dataframe/tests/test_groupby.py::test_groupby_meta_content[tasks-<lambda>0-<lambda>1] dask/dataframe/tests/test_dataframe.py::test_align_axis[right] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[prod-disk-<lambda>4] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[first-disk-2-<lambda>2] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-float-2-1-True] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-False-count-by4] dask/dataframe/tests/test_rolling.py::test_time_rolling_methods[2s-var-args7-True] dask/dataframe/tests/test_groupby.py::test_df_groupby_idxmax_skipna[tasks-True] dask/dataframe/tests/test_dataframe.py::test_round dask/dataframe/tests/test_groupby.py::test_groupby_select_column_agg[disk-var] dask/dataframe/tests/test_groupby.py::test_full_groupby_multilevel[disk-True-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_cov[tasks-columns0] dask/dataframe/tests/test_dataframe.py::test_dataframe_quantile[None-dask-expected1] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[sum-disk-<lambda>3] dask/dataframe/tests/test_groupby.py::test_groupby_transform_ufunc_partitioning[tasks-not_indexed-3] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[last-tasks-observed-cat_1-ordered-known] dask/dataframe/tests/test_groupby.py::test_groupby_split_out_multiindex[disk-column0-3] dask/dataframe/tests/test_groupby.py::test_series_groupby_cumfunc_with_named_index[tasks-cumcount-2] dask/dataframe/tests/test_dataframe.py::test_getitem_string_subclass dask/dataframe/tests/test_dataframe.py::test_known_divisions dask/dataframe/tests/test_dataframe.py::test_map_freq_to_period_start[2BA-2BAS-None] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[sum-tasks-2-<lambda>2] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[max-tasks-observed-groupby1-ordered-known] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup5-False-False-True-4-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[mean-disk-<lambda>1] dask/dataframe/tests/test_groupby.py::test_cumulative[tasks-cumsum-key1-d] dask/dataframe/tests/test_groupby.py::test_series_groupby_multi_character_column_name[tasks] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[last-disk-observed-cat_1-unordererd-known] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup0-True-True-False-4-True] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup5-True-False-False-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-2-True] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-True-True-True-4-False] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[std-disk-2-<lambda>2] dask/dataframe/tests/test_dataframe.py::test_cov_series dask/dataframe/tests/test_dataframe.py::test_duplicate_columns[nunique-kwargs2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[first-disk-2-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[cov-tasks-<lambda>0] dask/dataframe/tests/test_groupby.py::test_df_groupby_idxmax_skipna[tasks-False] dask/dataframe/tests/test_dataframe.py::test_reduction_method dask/dataframe/tests/test_groupby.py::test_groupby_meta_content[disk-<lambda>0-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-False-std-by3] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[mean-disk-<lambda>2] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-False-False-True-4-True] dask/dataframe/tests/test_rolling.py::test_map_overlap_names[True-False-False-4] dask/dataframe/tests/test_dataframe.py::test_timeseries_sorted dask/dataframe/tests/test_dataframe.py::test_is_monotonic_dt64 dask/dataframe/tests/test_groupby.py::test_groupby_apply_tasks[tasks] dask/dataframe/tests/test_groupby.py::test_groupby_reduction_split[count-disk-split_out] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[std-disk-<lambda>3] dask/dataframe/tests/test_groupby.py::test_groupby_multi_index_with_row_operations[disk-tail] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_true[tasks-cumsum] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_true[tasks-var] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_false[disk-cumsum] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[disk-False-std-by3] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-False-mean-by3] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[std-tasks-2-<lambda>2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[min-disk-1-<lambda>1] dask/dataframe/tests/test_rolling.py::test_rolling_names dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[last-disk-observed-groupby1-unordererd-known] 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dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[first-tasks-observed-groupby1-unordererd-unknown] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[max-tasks-2-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_gh6305 dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[var-tasks-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_reduction_split[sum-disk-split_out] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[min-disk-1-<lambda>1] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[last-tasks-1-<lambda>0] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[last-disk-2-<lambda>4] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle_multilevel[tasks-<lambda>1-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_column_and_index_agg_funcs[disk-mean] 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dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[var-disk-unobserved-groupby1-ordered-unknown] dask/dataframe/tests/test_dataframe.py::test_setitem_with_numeric_column_name_raises_not_implemented dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-2-False] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[std-disk-1-<lambda>2] dask/dataframe/tests/test_groupby.py::test_series_groupby_agg_custom_mean[tasks-mean-mean] dask/dataframe/tests/test_groupby.py::test_bfill[disk-4-True] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[nunique-tasks-2-<lambda>1] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument[tasks-False-mean-by4] dask/dataframe/tests/test_rolling.py::test_map_overlap_names[True-True-True-4] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[last-tasks-2-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_attrs_series 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dask/dataframe/tests/test_dataframe.py::test_idxmaxmin[idx1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-2-True] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[first-tasks-2-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_describe[include10-None-None-None] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[corr-tasks-<lambda>5] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_column[disk] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup5-False-False-True-1-True] dask/dataframe/tests/test_groupby.py::test_cumulative[tasks-cumprod-a-a] dask/dataframe/tests/test_groupby.py::test_full_groupby_multilevel[tasks-True-<lambda>0] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_supported[tasks-None-sum] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[last-disk-1-<lambda>1] 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dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-4-False] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_not_implemented[tasks-None-mean] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup3-False-True-True-4-False] dask/dataframe/tests/test_groupby.py::test_apply_or_transform_shuffle[tasks-<lambda>0-<lambda>2] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[var-disk-1-<lambda>2] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup2-True-False-False-1-True] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[prod-disk-2-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>0-M8[ns]-2-4-False] dask/dataframe/tests/test_groupby.py::test_groupby_meta_content[tasks-<lambda>1-<lambda>0] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[count] dask/dataframe/tests/test_groupby.py::test_dataframe_aggregations_multilevel[size-disk-1-<lambda>3] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup0-True-False-True-1-False] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[last-disk-2-<lambda>1] dask/dataframe/tests/test_dataframe.py::test_memory_usage_per_partition[False-False] dask/dataframe/tests/test_rolling.py::test_map_overlap_multiple_dataframes[overlap_setup1-False-False-True-4-False] dask/dataframe/tests/test_groupby.py::test_groupby_aggregate_categorical_observed[prod-tasks-observed-cat_1-ordered-unknown] dask/dataframe/tests/test_groupby.py::test_groupby_dir[disk] dask/dataframe/tests/test_groupby.py::test_groupby_multi_index_with_row_operations[disk-head] dask/dataframe/tests/test_rolling.py::test_map_overlap_names[True-True-True-1] dask/dataframe/tests/test_rolling.py::test_rolling_methods[False-2-skew-args8-True] dask/dataframe/tests/test_groupby.py::test_groupby_multilevel_getitem[corr-tasks-<lambda>4] dask/dataframe/tests/test_groupby.py::test_groupby_numeric_only_not_implemented[tasks-False-var] dask/dataframe/tests/test_groupby.py::test_groupby_agg_custom__name_clash_with_internal_same_column[disk] dask/dataframe/tests/test_rolling.py::test_rolling_methods[True-2-mean-args2-False] dask/dataframe/tests/test_rolling.py::test_rolling_methods[False-4-quantile-args10-False] dask/dataframe/tests/test_groupby.py::test_groupby_sort_argument_agg[tasks-False-agg2] dask/dataframe/tests/test_groupby.py::test_series_aggregations_multilevel[mean-disk-1-<lambda>2]