Separate array and dataframe mindeps builds (#8079)

.github/workflows/additional.yml

@@ -8,7 +8,7 @@ jobs:
 
     strategy:
       matrix:
-        environment: ["mindeps-array-dataframe", "mindeps-non-optional", "mindeps-distributed"]
+        environment: ["mindeps-array", "mindeps-dataframe", "mindeps-non-optional", "mindeps-distributed"]
 
     env:
       COVERAGE: "true"

continuous_integration/environment-mindeps-array.yaml

@@ -0,0 +1,19 @@
+name: test-environment
+channels:
+  - conda-forge
+dependencies:
+  # required dependencies
+  - packaging=20.0
+  - python=3.7
+  - pyyaml
+  - cloudpickle=1.1.1
+  - partd=0.3.10
+  - fsspec=0.6.0
+  - toolz=0.8.2
+  # optional dependencies pulled in by pip install dask[array]
+  - numpy=1.18
+  # test dependencies
+  - pytest
+  - pytest-cov
+  - pytest-rerunfailures
+  - pytest-xdist

continuous_integration/environment-mindeps-array-dataframe.yaml → continuous_integration/environment-mindeps-dataframe.yaml

@@ -10,7 +10,7 @@ dependencies:
   - partd=0.3.10
   - fsspec=0.6.0
   - toolz=0.8.2
-  # optional dependencies pulled in by pip install dask[array, dataframe]
+  # optional dependencies pulled in by pip install dask[dataframe]
   - numpy=1.18
   - pandas=1.0
   # test dependencies

dask/array/percentile.py

@@ -91,8 +91,7 @@ def percentile(a, q, interpolation="linear", method="default"):
     --------
     numpy.percentile : Numpy's equivalent Percentile function
     """
-    from dask.array.dispatch import percentile_lookup as _percentile
-
+    from .dispatch import percentile_lookup as _percentile
     from .utils import array_safe, meta_from_array
 
     if not a.ndim == 1:

dask/array/tests/test_array_core.py

@@ -21,7 +21,6 @@
 
 import dask
 import dask.array as da
-import dask.dataframe
 from dask.array.core import (
     Array,
     blockdims_from_blockshape,