sha,message,author_date,committer_date,raw_author,raw_committer,repo,author,committer
dc2dd89b999b16e08ba51e9cf623896b01be7297,"Change isinstance checks to duck Dask Array checks #4208 (#4221)

* Change isinstance checks to duck Dask Array checks #4208

* Use is_dask_collection in is_duck_dask_array

* Use is_dask_collection in is_duck_dask_array

* Revert to isinstance checks according to review discussion

* Move is_duck_dask_array to pycompat.py and use tokenize for comparisons

* isort

* Implement `is_duck_array` to replace `is_array_like`

* Rename `is_array_like` to `is_duck_array`

* `is_duck_array` checks for `__array_function__` and `__array_ufunc__`
  in addition to previous checks

* Replace checks for `is_duck_dask_array` and `__array_function__` with
  `is_duck_array`

* Skip numpy duck array tests when NEP18 is not active

* Use utils.is_duck_array in xarray/core/formatting.py

* Replace locally defined `is_duck_array` in _diff_mapping_repr

* Replace `""__array_function__""` and `is_duck_dask_array` check in
  `short_data_repr`

* Revert back to isinstance check for iris cube

* Add is_duck_array_or_ndarray function to utils

* Use is_duck_array_or_ndarray for duck array checks without NEP18

* Remove is_duck_dask_array_or_ndarray, replace checks with is_duck_array

* Add explicit check for NumPy array to is_duck_array

* Replace is_duck_array_or_ndarray checks with is_duck_array

* Remove is_duck_array check for deep copy

Co-authored-by: keewis <keewis@users.noreply.github.com>

* Use is_duck_array check in load

* Move duck dask array tokenize tests from test_units.py to test_dask.py

* Use _importorskip to require pint >=0.15 instead of pytest.mark.skipif

Co-authored-by: Deepak Cherian <dcherian@users.noreply.github.com>
Co-authored-by: keewis <keewis@users.noreply.github.com>",2020-09-02T18:28:11Z,2020-09-02T18:28:11Z,6098058c2fcbf78e34308ad42051ac13d030dce0,cd792325681cbad9f663f2879d8b69f1edbb678f,13221727,19578931,19864447