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  • QuLogic · 3 ✖

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  • test_push_dask fails type inference · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
873660034 https://github.com/pydata/xarray/issues/5342#issuecomment-873660034 https://api.github.com/repos/pydata/xarray/issues/5342 MDEyOklzc3VlQ29tbWVudDg3MzY2MDAzNA== QuLogic 302469 2021-07-04T20:50:24Z 2021-07-04T20:50:24Z CONTRIBUTOR

What version of bottleneck are you testing it with? We require bottleneck >=1.3 (https://github.com/pydata/xarray/blob/master/ci/requirements/py37-min-all-deps.yml)

This should go in setup.cfg, then? I'm not using conda.

 
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   test_push_dask fails type inference 895202415
845413014 https://github.com/pydata/xarray/issues/5342#issuecomment-845413014 https://api.github.com/repos/pydata/xarray/issues/5342 MDEyOklzc3VlQ29tbWVudDg0NTQxMzAxNA== QuLogic 302469 2021-05-20T19:24:36Z 2021-05-20T19:24:36Z CONTRIBUTOR

Ah, you're right, it's still 1.2.1, I'll fix that.

 
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   test_push_dask fails type inference 895202415
844764616 https://github.com/pydata/xarray/issues/5342#issuecomment-844764616 https://api.github.com/repos/pydata/xarray/issues/5342 MDEyOklzc3VlQ29tbWVudDg0NDc2NDYxNg== QuLogic 302469 2021-05-20T06:54:15Z 2021-05-20T06:54:15Z CONTRIBUTOR

That seems insufficient: ```pytb _____ testpush_dask ______ [gw3] linux -- Python 3.9.5 /usr/bin/python3 @requires_dask @requires_bottleneck def test_push_dask(): import bottleneck import dask.array

    array = np.array([np.nan, np.nan, np.nan, 1, 2, 3, np.nan, np.nan, 4, 5, np.nan, 6])
    expected = bottleneck.push(array, axis=0)
    for c in range(1, 11):
        with raise_if_dask_computes():
            actual = push(dask.array.from_array(array, chunks=c), axis=0, n=None)

      np.testing.assert_equal(actual, expected)

/builddir/build/BUILDROOT/python-xarray-0.18.2-1.fc35.x86_64/usr/lib/python3.9/site-packages/xarray/tests/test_duck_array_ops.py:887:

/usr/lib/python3.9/site-packages/dask/array/core.py:1476: in array x = self.compute() /usr/lib/python3.9/site-packages/dask/base.py:285: in compute (result,) = compute(self, traverse=False, kwargs) /usr/lib/python3.9/site-packages/dask/base.py:567: in compute results = schedule(dsk, keys, kwargs) /usr/lib/python3.9/site-packages/dask/local.py:560: in get_sync return get_async( /usr/lib/python3.9/site-packages/dask/local.py:503: in get_async for key, res_info, failed in queue_get(queue).result(): /usr/lib64/python3.9/concurrent/futures/_base.py:438: in result return self.get_result() /usr/lib64/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /usr/lib/python3.9/site-packages/dask/local.py:545: in submit fut.set_result(fn(args, kwargs)) /usr/lib/python3.9/site-packages/dask/local.py:237: in batch_execute_tasks return [execute_task(a) for a in it] /usr/lib/python3.9/site-packages/dask/local.py:237: in <listcomp> return [execute_task(a) for a in it] /usr/lib/python3.9/site-packages/dask/local.py:228: in execute_task result = pack_exception(e, dumps) /usr/lib/python3.9/site-packages/dask/local.py:223: in execute_task result = _execute_task(task, data) /usr/lib/python3.9/site-packages/dask/core.py:121: in _execute_task return func((_execute_task(a, cache) for a in args)) /usr/lib/python3.9/site-packages/dask/optimization.py:963: in __call return core.get(self.dsk, self.outkey, dict(zip(self.inkeys, args))) /usr/lib/python3.9/site-packages/dask/core.py:151: in get result = _execute_task(task, cache) /usr/lib/python3.9/site-packages/dask/core.py:121: in _execute_task return func(*(_execute_task(a, cache) for a in args))

func = <built-in function push>, args = [array([nan, 1.])] kwargs = {'axis': 0, 'n': None} def apply(func, args, kwargs=None): if kwargs:

      return func(*args, **kwargs)

E TypeError: n must be an integer /usr/lib/python3.9/site-packages/dask/utils.py:34: TypeError ```

 
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   test_push_dask fails type inference 895202415

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