diff --git a/dask/array/core.py b/dask/array/core.py
index 61158f7c5..08ca79f7e 100644
--- a/dask/array/core.py
+++ b/dask/array/core.py
@@ -2428,7 +2428,7 @@ def unify_chunks(*args, **kwargs):
     if not args:
         return {}, []
 
-    arginds = [(asarray(a) if ind is not None else a, ind)
+    arginds = [(asanyarray(a) if ind is not None else a, ind)
                for a, ind in partition(2, args)]  # [x, ij, y, jk]
     args = list(concat(arginds))  # [(x, ij), (y, jk)]
     warn = kwargs.get('warn', True)
@@ -2934,19 +2934,12 @@ def asarray(a, **kwargs):
     >>> da.asarray(y)
     dask.array<array, shape=(2, 3), dtype=int64, chunksize=(2, 3)>
     """
-    def frame_types():
-        try:
-            import dask.dataframe as dd
-            return (dd.Series, dd.DataFrame)
-        except ImportError:
-            return ()
-
     if isinstance(a, Array):
         return a
-    if isinstance(a, (list, tuple)) and any(isinstance(i, Array) for i in a):
-        a = stack(a)
-    elif isinstance(a, frame_types()):
+    elif hasattr(a, 'to_dask_array'):
         return a.to_dask_array()
+    elif isinstance(a, (list, tuple)) and any(isinstance(i, Array) for i in a):
+        a = stack(a)
     elif not isinstance(getattr(a, 'shape', None), Iterable):
         a = np.asarray(a)
     return from_array(a, chunks=a.shape, getitem=getter_inline, **kwargs)
diff --git a/dask/dataframe/core.py b/dask/dataframe/core.py
index 0245a4ca7..d1243ea68 100644
--- a/dask/dataframe/core.py
+++ b/dask/dataframe/core.py
@@ -2610,7 +2610,7 @@ class DataFrame(_Frame):
         return self[list(cs)]
 
     def set_index(self, other, drop=True, sorted=False, npartitions=None,
-                  divisions=None, **kwargs):
+                  divisions=None, inplace=False, **kwargs):
         """Set the DataFrame index (row labels) using an existing column
 
         This realigns the dataset to be sorted by a new column.  This can have a
@@ -2655,6 +2655,9 @@ class DataFrame(_Frame):
             that if ``sorted=True``, specified divisions are assumed to match
             the existing partitions in the data. If this is untrue, you should
             leave divisions empty and call ``repartition`` after ``set_index``.
+        inplace : bool, optional
+            Modifying the DataFrame in place is not supported by Dask.
+            Defaults to False.
         compute: bool
             Whether or not to trigger an immediate computation. Defaults to False.
 
@@ -2673,6 +2676,8 @@ class DataFrame(_Frame):
         >>> divisions = pd.date_range('2000', '2010', freq='1D')
         >>> df2 = df.set_index('timestamp', sorted=True, divisions=divisions)  # doctest: +SKIP
         """
+        if inplace:
+            raise NotImplementedError("The inplace= keyword is not supported")
         pre_sorted = sorted
         del sorted
 
diff --git a/dask/dataframe/utils.py b/dask/dataframe/utils.py
index ca00d6260..4321a1f50 100644
--- a/dask/dataframe/utils.py
+++ b/dask/dataframe/utils.py
@@ -398,13 +398,12 @@ def _nonempty_index(idx):
                                  name=idx.name)
     elif typ is pd.CategoricalIndex:
         if len(idx.categories) == 0:
-            data = _nonempty_index(idx.categories)
-            cats = None
+            data = pd.Categorical(_nonempty_index(idx.categories),
+                                  ordered=idx.ordered)
         else:
-            data = _nonempty_index(_nonempty_index(idx.categories))
-            cats = idx.categories
-        return pd.CategoricalIndex(data, categories=cats,
-                                   ordered=idx.ordered, name=idx.name)
+            data = pd.Categorical.from_codes(
+                [-1, 0], categories=idx.categories, ordered=idx.ordered)
+        return pd.CategoricalIndex(data, name=idx.name)
     elif typ is pd.MultiIndex:
         levels = [_nonempty_index(l) for l in idx.levels]
         labels = [[0, 0] for i in idx.levels]
diff --git a/docs/source/develop.rst b/docs/source/develop.rst
index 3e0ad25f7..d22755cb1 100644
--- a/docs/source/develop.rst
+++ b/docs/source/develop.rst
@@ -88,7 +88,7 @@ environment on your computer to compile them when installing with ``pip``::
 Install Dask and dependencies::
 
    cd dask
-   pip install -e .[complete]
+   pip install -e ".[complete]"
 
 For development, Dask uses the following additional dependencies::
 

DataFrame.groupby.mean fails with multiple categoricals
Seems closely related to issue #2510, but it looks like there's still a problem with `groupby.mean`.  Here's a quick example:

```
import dask.dataframe as dd

dt = {"col1": "category",
      "col2": "category",
      "col3": int}
df = dd.read_csv("data.csv", dtype=dt)

df.compute()
#   col1 col2  col3
# 0    a    y     0
# 1    a    z     1
# 2    b    y     0
# 3    b    z     1

# Gives an error
df.groupby(by=["col1", "col2"])["col3"].mean().compute()
# ValueError: Level values must be unique: [nan, nan] on level 0

# Taking a sum works
df.groupby(by=["col1", "col2"])["col3"].sum().compute()
# col1  col2
# a     y       0
#       z       1
# b     y       0
#       z       1
# Name: col3, dtype: int64

# Grouping by only one column also works
df.groupby(by="col1")["col3"].mean().compute()
# col1
# a    0.5
# b    0.5
# Name: col3, dtype: float64

# Use object dtype instead
df = dd.read_csv("data.csv")
df.dtypes
# col1    object
# col2    object
# col3     int64
# dtype: object

# Works now
df.groupby(by=["col1", "col2"]).mean().compute()
#            col3
# col1 col2      
# a    y      0.0
#      z      1.0
# b    y      0.0
#      z      1.0
```

This is `dask` 0.17.5 and `pandas` 0.24.0.
diff --git a/dask/array/tests/test_masked.py b/dask/array/tests/test_masked.py
index 6608d2cc4..222e46c5c 100644
--- a/dask/array/tests/test_masked.py
+++ b/dask/array/tests/test_masked.py
@@ -348,3 +348,17 @@ def test_average_weights_with_masked_array():
     da_avg = da.ma.average(d_a, weights=d_weights, axis=1)
 
     assert_eq(np_avg, da_avg)
+
+
+def test_arithmetic_results_in_masked():
+    mask = np.array([[True, False],
+                     [True, True],
+                     [False, True]])
+    x = np.arange(6).reshape((3, 2))
+    masked = np.ma.array(x, mask=mask)
+    dx = da.from_array(x, chunks=(2, 2))
+
+    res = dx + masked
+    sol = x + masked
+    assert_eq(res, sol)
+    assert isinstance(res.compute(), np.ma.masked_array)
diff --git a/dask/dataframe/tests/test_shuffle.py b/dask/dataframe/tests/test_shuffle.py
index 58cb823e8..9e9980412 100644
--- a/dask/dataframe/tests/test_shuffle.py
+++ b/dask/dataframe/tests/test_shuffle.py
@@ -782,3 +782,17 @@ def test_set_index_does_not_repeat_work_due_to_optimizations(npartitions):
     ddf.set_index('x', npartitions=npartitions)
     ntimes = next(count)
     assert ntimes == nparts
+
+
+def test_set_index_errors_with_inplace_kwarg():
+    df = pd.DataFrame({
+        'a': [9, 8, 7],
+        'b': [6, 5, 4],
+        'c': [3, 2, 1]
+    })
+    ddf = dd.from_pandas(df, npartitions=1)
+
+    ddf.set_index('a')
+
+    with pytest.raises(NotImplementedError):
+        ddf.set_index('a', inplace=True)
diff --git a/dask/dataframe/tests/test_utils_dataframe.py b/dask/dataframe/tests/test_utils_dataframe.py
index 603331329..081246014 100644
--- a/dask/dataframe/tests/test_utils_dataframe.py
+++ b/dask/dataframe/tests/test_utils_dataframe.py
@@ -209,7 +209,7 @@ def test_meta_nonempty_index():
     assert res.freq == idx.freq
     assert res.name == idx.name
 
-    idx = pd.CategoricalIndex(['a'], ['a', 'b'], ordered=True, name='foo')
+    idx = pd.CategoricalIndex(['xyx'], ['xyx', 'zzz'], ordered=True, name='foo')
     res = meta_nonempty(idx)
     assert type(res) is pd.CategoricalIndex
     assert (res.categories == idx.categories).all()
@@ -233,7 +233,7 @@ def test_meta_nonempty_index():
     assert res.names == idx.names
 
     levels = [pd.Int64Index([1], name='a'),
-              pd.CategoricalIndex(data=['b'], categories=['b'], name='b'),
+              pd.CategoricalIndex(data=['xyx'], categories=['xyx'], name='b'),
               pd.TimedeltaIndex([np.timedelta64(1, 'D')], name='timedelta')]
     idx = pd.MultiIndex(levels=levels, labels=[[0], [0], [0]], names=['a', 'b', 'timedelta'])
     res = meta_nonempty(idx)

pip install -e .[complete]
parse_log_pytest
pytest
pytest
3.6
pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
attrs @ file:///opt/conda/conda-bld/attrs_1642510447205/work
certifi==2021.5.30
click==8.0.4
cloudpickle==2.2.1
-e git+https://github.com/dask/dask.git@faefaa837e7e63b35fd073270172f2440e7ae924#egg=dask
distributed==1.28.1
HeapDict==1.0.1
importlib-metadata @ file:///tmp/build/80754af9/importlib-metadata_1631916693255/work
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
locket==1.0.0
more-itertools @ file:///tmp/build/80754af9/more-itertools_1637733554872/work
msgpack==1.0.5
numpy==1.19.5
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
pandas==1.1.5
partd==1.2.0
pluggy @ file:///tmp/build/80754af9/pluggy_1615976315926/work
psutil==7.0.0
py @ file:///opt/conda/conda-bld/py_1644396412707/work
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
pytest==6.2.4
python-dateutil==2.9.0.post0
pytz==2025.2
PyYAML==6.0.1
six==1.17.0
sortedcontainers==2.4.0
tblib==1.7.0
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
toolz==0.12.0
tornado==6.1
typing_extensions @ file:///opt/conda/conda-bld/typing_extensions_1647553014482/work
zict==2.1.0
zipp @ file:///tmp/build/80754af9/zipp_1633618647012/work

name: dask
channels:
  - defaults
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - attrs=21.4.0=pyhd3eb1b0_0
  - ca-certificates=2025.2.25=h06a4308_0
  - certifi=2021.5.30=py36h06a4308_0
  - importlib-metadata=4.8.1=py36h06a4308_0
  - importlib_metadata=4.8.1=hd3eb1b0_0
  - iniconfig=1.1.1=pyhd3eb1b0_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - libffi=3.3=he6710b0_2
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - more-itertools=8.12.0=pyhd3eb1b0_0
  - ncurses=6.4=h6a678d5_0
  - openssl=1.1.1w=h7f8727e_0
  - packaging=21.3=pyhd3eb1b0_0
  - pip=21.2.2=py36h06a4308_0
  - pluggy=0.13.1=py36h06a4308_0
  - py=1.11.0=pyhd3eb1b0_0
  - pyparsing=3.0.4=pyhd3eb1b0_0
  - pytest=6.2.4=py36h06a4308_2
  - python=3.6.13=h12debd9_1
  - readline=8.2=h5eee18b_0
  - setuptools=58.0.4=py36h06a4308_0
  - sqlite=3.45.3=h5eee18b_0
  - tk=8.6.14=h39e8969_0
  - toml=0.10.2=pyhd3eb1b0_0
  - typing_extensions=4.1.1=pyh06a4308_0
  - wheel=0.37.1=pyhd3eb1b0_0
  - xz=5.6.4=h5eee18b_1
  - zipp=3.6.0=pyhd3eb1b0_0
  - zlib=1.2.13=h5eee18b_1
  - pip:
      - click==8.0.4
      - cloudpickle==2.2.1
      - distributed==1.28.1
      - heapdict==1.0.1
      - locket==1.0.0
      - msgpack==1.0.5
      - numpy==1.19.5
      - pandas==1.1.5
      - partd==1.2.0
      - psutil==7.0.0
      - python-dateutil==2.9.0.post0
      - pytz==2025.2
      - pyyaml==6.0.1
      - six==1.17.0
      - sortedcontainers==2.4.0
      - tblib==1.7.0
      - toolz==0.12.0
      - tornado==6.1
      - zict==2.1.0
prefix: /opt/conda/envs/dask

dask/array/tests/test_masked.py::test_arithmetic_results_in_masked
dask/dataframe/tests/test_shuffle.py::test_shuffle[disk] dask/dataframe/tests/test_shuffle.py::test_shuffle[tasks] dask/dataframe/tests/test_shuffle.py::test_default_partitions dask/dataframe/tests/test_shuffle.py::test_shuffle_npartitions_task dask/dataframe/tests/test_shuffle.py::test_index_with_non_series[disk] dask/dataframe/tests/test_shuffle.py::test_index_with_non_series[tasks] dask/dataframe/tests/test_shuffle.py::test_index_with_dataframe[disk] dask/dataframe/tests/test_shuffle.py::test_index_with_dataframe[tasks] dask/dataframe/tests/test_shuffle.py::test_shuffle_from_one_partition_to_one_other[disk] dask/dataframe/tests/test_shuffle.py::test_shuffle_from_one_partition_to_one_other[tasks] dask/dataframe/tests/test_shuffle.py::test_shuffle_empty_partitions[disk] dask/dataframe/tests/test_shuffle.py::test_shuffle_empty_partitions[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_tasks[1] dask/dataframe/tests/test_shuffle.py::test_set_index_tasks[4] dask/dataframe/tests/test_shuffle.py::test_set_index_tasks[7] dask/dataframe/tests/test_shuffle.py::test_set_index_self_index[disk] dask/dataframe/tests/test_shuffle.py::test_set_index_self_index[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_names[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_tasks_2[disk] dask/dataframe/tests/test_shuffle.py::test_set_index_tasks_2[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_tasks_3[disk] dask/dataframe/tests/test_shuffle.py::test_set_index_tasks_3[tasks] dask/dataframe/tests/test_shuffle.py::test_shuffle_sort[tasks] dask/dataframe/tests/test_shuffle.py::test_shuffle_sort[disk] dask/dataframe/tests/test_shuffle.py::test_rearrange[threads-tasks] dask/dataframe/tests/test_shuffle.py::test_rearrange[threads-disk] dask/dataframe/tests/test_shuffle.py::test_rearrange[processes-tasks] dask/dataframe/tests/test_shuffle.py::test_rearrange[processes-disk] dask/dataframe/tests/test_shuffle.py::test_rearrange_by_column_with_narrow_divisions dask/dataframe/tests/test_shuffle.py::test_set_index_with_explicit_divisions dask/dataframe/tests/test_shuffle.py::test_set_index_divisions_2 dask/dataframe/tests/test_shuffle.py::test_set_index_divisions_compute dask/dataframe/tests/test_shuffle.py::test_set_index_divisions_sorted dask/dataframe/tests/test_shuffle.py::test_set_index_reduces_partitions_small[disk] dask/dataframe/tests/test_shuffle.py::test_set_index_reduces_partitions_small[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_reduces_partitions_large[disk] dask/dataframe/tests/test_shuffle.py::test_set_index_reduces_partitions_large[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_doesnt_increase_partitions[disk] dask/dataframe/tests/test_shuffle.py::test_set_index_doesnt_increase_partitions[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_detects_sorted_data[disk] dask/dataframe/tests/test_shuffle.py::test_set_index_detects_sorted_data[tasks] dask/dataframe/tests/test_shuffle.py::test_set_index_sorts dask/dataframe/tests/test_shuffle.py::test_set_index dask/dataframe/tests/test_shuffle.py::test_set_index_interpolate dask/dataframe/tests/test_shuffle.py::test_set_index_interpolate_int dask/dataframe/tests/test_shuffle.py::test_set_index_timezone dask/dataframe/tests/test_shuffle.py::test_set_index_drop[True] dask/dataframe/tests/test_shuffle.py::test_set_index_drop[False] dask/dataframe/tests/test_shuffle.py::test_set_index_sorted_true dask/dataframe/tests/test_shuffle.py::test_set_index_sorted_single_partition dask/dataframe/tests/test_shuffle.py::test_set_index_sorted_min_max_same dask/dataframe/tests/test_shuffle.py::test_set_index_empty_partition dask/dataframe/tests/test_shuffle.py::test_set_index_on_empty dask/dataframe/tests/test_shuffle.py::test_compute_divisions dask/dataframe/tests/test_shuffle.py::test_temporary_directory dask/dataframe/tests/test_shuffle.py::test_empty_partitions dask/dataframe/tests/test_shuffle.py::test_set_index_does_not_repeat_work_due_to_optimizations[None] dask/dataframe/tests/test_shuffle.py::test_set_index_does_not_repeat_work_due_to_optimizations[auto] dask/dataframe/tests/test_shuffle.py::test_set_index_errors_with_inplace_kwarg dask/dataframe/tests/test_utils_dataframe.py::test_meta_nonempty dask/dataframe/tests/test_utils_dataframe.py::test_meta_nonempty_empty_categories dask/dataframe/tests/test_utils_dataframe.py::test_meta_nonempty_index dask/dataframe/tests/test_utils_dataframe.py::test_is_dataframe_like
dask/array/tests/test_masked.py::test_tokenize_masked_array dask/array/tests/test_masked.py::test_from_array_masked_array dask/array/tests/test_masked.py::test_copy_deepcopy dask/array/tests/test_masked.py::test_basic[<lambda>0] dask/array/tests/test_masked.py::test_basic[<lambda>1] dask/array/tests/test_masked.py::test_basic[<lambda>2] dask/array/tests/test_masked.py::test_basic[<lambda>3] dask/array/tests/test_masked.py::test_basic[<lambda>4] dask/array/tests/test_masked.py::test_basic[<lambda>5] dask/array/tests/test_masked.py::test_basic[<lambda>6] dask/array/tests/test_masked.py::test_basic[<lambda>7] dask/array/tests/test_masked.py::test_basic[<lambda>8] dask/array/tests/test_masked.py::test_basic[<lambda>9] dask/array/tests/test_masked.py::test_basic[<lambda>10] dask/array/tests/test_masked.py::test_basic[<lambda>11] dask/array/tests/test_masked.py::test_basic[<lambda>12] dask/array/tests/test_masked.py::test_basic[<lambda>13] dask/array/tests/test_masked.py::test_basic[<lambda>14] dask/array/tests/test_masked.py::test_basic[<lambda>15] dask/array/tests/test_masked.py::test_basic[<lambda>16] dask/array/tests/test_masked.py::test_basic[<lambda>17] dask/array/tests/test_masked.py::test_basic[<lambda>18] dask/array/tests/test_masked.py::test_basic[<lambda>19] dask/array/tests/test_masked.py::test_basic[<lambda>20] dask/array/tests/test_masked.py::test_basic[<lambda>21] dask/array/tests/test_masked.py::test_basic[<lambda>22] dask/array/tests/test_masked.py::test_basic[<lambda>23] dask/array/tests/test_masked.py::test_basic[<lambda>24] dask/array/tests/test_masked.py::test_basic[<lambda>25] dask/array/tests/test_masked.py::test_basic[<lambda>26] dask/array/tests/test_masked.py::test_tensordot dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>0] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>1] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>2] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>3] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>4] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>5] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>6] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>7] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>8] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>9] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>10] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>11] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>12] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>13] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>14] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>15] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>16] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>17] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>18] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>19] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>20] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>21] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>22] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>23] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>24] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>25] dask/array/tests/test_masked.py::test_mixed_concatenate[<lambda>26] dask/array/tests/test_masked.py::test_mixed_random[<lambda>0] dask/array/tests/test_masked.py::test_mixed_random[<lambda>1] dask/array/tests/test_masked.py::test_mixed_random[<lambda>2] dask/array/tests/test_masked.py::test_mixed_random[<lambda>3] dask/array/tests/test_masked.py::test_mixed_random[<lambda>4] 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dask/array/tests/test_masked.py::test_mixed_random[<lambda>20] dask/array/tests/test_masked.py::test_mixed_random[<lambda>21] dask/array/tests/test_masked.py::test_mixed_random[<lambda>22] dask/array/tests/test_masked.py::test_mixed_random[<lambda>23] dask/array/tests/test_masked.py::test_mixed_random[<lambda>24] dask/array/tests/test_masked.py::test_mixed_random[<lambda>25] dask/array/tests/test_masked.py::test_mixed_random[<lambda>26] dask/array/tests/test_masked.py::test_mixed_output_type dask/array/tests/test_masked.py::test_creation_functions dask/array/tests/test_masked.py::test_filled dask/array/tests/test_masked.py::test_reductions[sum-i8] dask/array/tests/test_masked.py::test_reductions[sum-f8] dask/array/tests/test_masked.py::test_reductions[prod-i8] dask/array/tests/test_masked.py::test_reductions[prod-f8] dask/array/tests/test_masked.py::test_reductions[mean-i8] dask/array/tests/test_masked.py::test_reductions[mean-f8] dask/array/tests/test_masked.py::test_reductions[var-i8] dask/array/tests/test_masked.py::test_reductions[var-f8] dask/array/tests/test_masked.py::test_reductions[std-i8] dask/array/tests/test_masked.py::test_reductions[std-f8] dask/array/tests/test_masked.py::test_reductions[min-i8] dask/array/tests/test_masked.py::test_reductions[min-f8] dask/array/tests/test_masked.py::test_reductions[max-i8] dask/array/tests/test_masked.py::test_reductions[max-f8] dask/array/tests/test_masked.py::test_reductions[any-i8] dask/array/tests/test_masked.py::test_reductions[any-f8] dask/array/tests/test_masked.py::test_reductions[all-i8] dask/array/tests/test_masked.py::test_reductions[all-f8] dask/array/tests/test_masked.py::test_arg_reductions[argmin] dask/array/tests/test_masked.py::test_arg_reductions[argmax] dask/array/tests/test_masked.py::test_cumulative dask/array/tests/test_masked.py::test_accessors dask/array/tests/test_masked.py::test_masked_array dask/array/tests/test_masked.py::test_set_fill_value dask/array/tests/test_masked.py::test_average_weights_with_masked_array dask/dataframe/tests/test_shuffle.py::test_partitioning_index dask/dataframe/tests/test_shuffle.py::test_partitioning_index_categorical_on_values dask/dataframe/tests/test_shuffle.py::test_maybe_buffered_partd dask/dataframe/tests/test_shuffle.py::test_set_index_raises_error_on_bad_input dask/dataframe/tests/test_shuffle.py::test_remove_nans dask/dataframe/tests/test_utils_dataframe.py::test_shard_df_on_index dask/dataframe/tests/test_utils_dataframe.py::test_make_meta dask/dataframe/tests/test_utils_dataframe.py::test_meta_duplicated dask/dataframe/tests/test_utils_dataframe.py::test_meta_nonempty_uint64index dask/dataframe/tests/test_utils_dataframe.py::test_meta_nonempty_scalar dask/dataframe/tests/test_utils_dataframe.py::test_raise_on_meta_error dask/dataframe/tests/test_utils_dataframe.py::test_check_meta
dask/dataframe/core.py dask/array/core.py docs/source/develop.rst dask/dataframe/utils.py
dask/dataframe/core.py dask/array/core.py docs/source/develop.rst dask/dataframe/utils.py