html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3266#issuecomment-704290169,https://api.github.com/repos/pydata/xarray/issues/3266,704290169,MDEyOklzc3VlQ29tbWVudDcwNDI5MDE2OQ==,10194086,2020-10-06T14:01:57Z,2020-10-07T09:32:37Z,MEMBER,"Currently most warnings (> 1500 of 1900) stem from netCDF4. They should be fixed in the newest netCDF4 version (1.5.4). See https://github.com/Unidata/netcdf4-python/blob/master/Changelog (`alen` -> `len` and `tostring` -> `tobytes`). However, netCDF 1.5.4 can not be installed alongside pynio (conda-forge/pynio-feedstock#90).

Addendum: Removing pynio from the tests and thus using the newest version of netCDF4 brings the warnings down to 71 (from 1931), see  #4492



","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209
https://github.com/pydata/xarray/issues/3266#issuecomment-676735116,https://api.github.com/repos/pydata/xarray/issues/3266,676735116,MDEyOklzc3VlQ29tbWVudDY3NjczNTExNg==,5635139,2020-08-19T21:52:26Z,2020-08-19T21:52:26Z,MEMBER,"Update! Lots of plotting ones. Pint has had huge progress!

```
=============================== warnings summary ===============================
/usr/share/miniconda/envs/xarray-tests/lib/python3.7/site-packages/_pytest/junitxml.py:446
  /usr/share/miniconda/envs/xarray-tests/lib/python3.7/site-packages/_pytest/junitxml.py:446: PytestDeprecationWarning: The 'junit_family' default value will change to 'xunit2' in pytest 6.0. See:
  
  >>> from pandas.tseries.frequencies import to_offset
  >>> df = df.resample(freq=""3s"").mean()
  >>> df.index = df.index.to_timestamp() + to_offset(""8H"")
  
    ds.bar.to_series().resample(""24H"", loffset=""-12H"").mean()

xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-True-2]
xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-True-2]
xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-False-2]
xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-False-2]
  /usr/share/miniconda/envs/xarray-tests/lib/python3.7/site-packages/dask/utils.py:31: RuntimeWarning: All-NaN slice encountered
    return func(*args, **kwargs)

xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-True-2]
xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-True-2]
xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-False-2]
xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-False-2]
  /usr/share/miniconda/envs/xarray-tests/lib/python3.7/site-packages/dask/core.py:121: RuntimeWarning: All-NaN slice encountered
    return func(*(_execute_task(a, cache) for a in args))

xarray/tests/test_dataset.py::test_trapz_datetime[np-True]
xarray/tests/test_dataset.py::test_trapz_datetime[cftime-True]
  /usr/share/miniconda/envs/xarray-tests/lib/python3.7/site-packages/dask/array/core.py:1359: FutureWarning: The `numpy.trapz` function is not implemented by Dask array. You may want to use the da.map_blocks function or something similar to silence this warning. Your code may stop working in a future release.
    FutureWarning,

xarray/tests/test_distributed.py::test_dask_distributed_cfgrib_integration_test
  /usr/share/miniconda/envs/xarray-tests/lib/python3.7/site-packages/cfgrib/messages.py:379: RuntimeWarning: deallocating CachingFileManager(<function open at 0x7fc3ffc6acb0>, '/tmp/tmpqgz759fe/temp-2438.tif', mode='r', kwargs={}), but file is not already closed. This may indicate a bug.
    for i, value in enumerate(header_values):

xarray/tests/test_interp.py::test_decompose[nearest]
xarray/tests/test_interp.py::test_decompose[nearest]
xarray/tests/test_interp.py::test_decompose[linear]
xarray/tests/test_interp.py::test_decompose[linear]
  /home/vsts/work/1/s/xarray/core/dataarray.py:2060: PendingDeprecationWarning: dropping variables using `drop` will be deprecated; using drop_vars is encouraged.
    ds = self._to_temp_dataset().drop(labels, dim, errors=errors)

xarray/tests/test_interp.py::test_interpolate_chunk_advanced[linear]
xarray/tests/test_interp.py::test_interpolate_chunk_advanced[nearest]
  /home/vsts/work/1/s/xarray/core/missing.py:633: PerformanceWarning: Increasing number of chunks by factor of 35
    var.transpose(*original_dims).data, x, destination, method, kwargs

xarray/tests/test_interp.py::test_interpolate_chunk_advanced[linear]
xarray/tests/test_interp.py::test_interpolate_chunk_advanced[nearest]
  /home/vsts/work/1/s/xarray/core/missing.py:737: PerformanceWarning: Increasing number of chunks by factor of 35
    new_axes=new_axes,

xarray/tests/test_plot.py: 41 warnings
  /home/vsts/work/1/s/xarray/plot/utils.py:624: MatplotlibDeprecationWarning: The 'extend' parameter to Colorbar has no effect because it is overridden by the mappable; it is deprecated since 3.3 and will be removed two minor releases later.
    cbar = fig.colorbar(primitive, **cbar_kwargs)

xarray/tests/test_plot.py::TestPlot::test_contourf_cmap_set_with_bad_under_over
  /home/vsts/work/1/s/xarray/tests/test_plot.py:368: MatplotlibDeprecationWarning: You are modifying the state of a globally registered colormap. In future versions, you will not be able to modify a registered colormap in-place. To remove this warning, you can make a copy of the colormap first. cmap = copy.copy(mpl.cm.get_cmap(""viridis""))
    cmap.set_bad(""w"")

xarray/tests/test_plot.py::TestPlot::test_contourf_cmap_set_with_bad_under_over
  /home/vsts/work/1/s/xarray/tests/test_plot.py:375: MatplotlibDeprecationWarning: You are modifying the state of a globally registered colormap. In future versions, you will not be able to modify a registered colormap in-place. To remove this warning, you can make a copy of the colormap first. cmap = copy.copy(mpl.cm.get_cmap(""viridis""))
    cmap.set_under(""r"")

xarray/tests/test_plot.py::TestPlot::test_contourf_cmap_set_with_bad_under_over
  /home/vsts/work/1/s/xarray/tests/test_plot.py:379: MatplotlibDeprecationWarning: You are modifying the state of a globally registered colormap. In future versions, you will not be able to modify a registered colormap in-place. To remove this warning, you can make a copy of the colormap first. cmap = copy.copy(mpl.cm.get_cmap(""viridis""))
    cmap.set_over(""g"")

xarray/tests/test_plot.py::TestDiscreteColorMap::test_discrete_colormap_list_of_levels
xarray/tests/test_plot.py::TestDiscreteColorMap::test_discrete_colormap_int_levels
xarray/tests/test_plot.py::TestImshow::test_seaborn_palette_as_cmap
  /home/vsts/work/1/s/xarray/plot/plot.py:903: MatplotlibDeprecationWarning: Passing parameters norm and vmin/vmax simultaneously is deprecated since 3.3 and will become an error two minor releases later. Please pass vmin/vmax directly to the norm when creating it.
    primitive = ax.imshow(z, **defaults)

xarray/tests/test_plot.py::TestDiscreteColorMap::test_discrete_colormap_list_of_levels
xarray/tests/test_plot.py::TestDiscreteColorMap::test_discrete_colormap_int_levels
xarray/tests/test_plot.py::TestDiscreteColorMap::test_discrete_colormap_list_levels_and_vmin_or_vmax
xarray/tests/test_plot.py::TestPcolormesh::test_seaborn_palette_as_cmap
  /home/vsts/work/1/s/xarray/plot/plot.py:968: MatplotlibDeprecationWarning: Passing parameters norm and vmin/vmax simultaneously is deprecated since 3.3 and will become an error two minor releases later. Please pass vmin/vmax directly to the norm when creating it.
    primitive = ax.pcolormesh(x, y, z, **kwargs)

xarray/tests/test_plot.py: 10 warnings
  /home/vsts/work/1/s/xarray/plot/facetgrid.py:421: MatplotlibDeprecationWarning: The 'extend' parameter to Colorbar has no effect because it is overridden by the mappable; it is deprecated since 3.3 and will be removed two minor releases later.
    self._mappables[-1], ax=list(self.axes.flat), **kwargs

xarray/tests/test_plot.py::TestPcolormesh::test_dont_infer_interval_breaks_for_cartopy
  /home/vsts/work/1/s/xarray/plot/plot.py:968: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.
    primitive = ax.pcolormesh(x, y, z, **kwargs)

xarray/tests/test_plot.py::test_get_axis_cartopy
  /home/vsts/work/1/s/xarray/plot/utils.py:437: UserWarning: Requested projection is different from current axis projection, creating new axis with requested projection.
    ax = plt.gca(**kwargs)

xarray/tests/test_sparse.py::test_variable_method[obj.argmax(*(), **{})-True]
xarray/tests/test_sparse.py::test_variable_method[obj.argmin(*(), **{})-True]
  /home/vsts/work/1/s/xarray/tests/test_sparse.py:65: DeprecationWarning: Behaviour of argmin/argmax with neither dim nor axis argument will change to return a dict of indices of each dimension. To get a single, flat index, please use np.argmin(da.data) or np.argmax(da.data) instead of da.argmin() or da.argmax().
    return getattr(obj, self.meth)(*self.args, **self.kwargs)

xarray/tests/test_sparse.py::test_dataarray_method[obj.argmax(*(), **{})-True]
  /home/vsts/work/1/s/xarray/core/dataarray.py:4060: DeprecationWarning: Behaviour of argmin/argmax with neither dim nor axis argument will change to return a dict of indices of each dimension. To get a single, flat index, please use np.argmin(da.data) or np.argmax(da.data) instead of da.argmin() or da.argmax().
    result = self.variable.argmax(dim, axis, keep_attrs, skipna)

xarray/tests/test_sparse.py::test_dataarray_method[obj.argmin(*(), **{})-True]
  /home/vsts/work/1/s/xarray/core/dataarray.py:3957: DeprecationWarning: Behaviour of argmin/argmax with neither dim nor axis argument will change to return a dict of indices of each dimension. To get a single, flat index, please use np.argmin(da.data) or np.argmax(da.data) instead of da.argmin() or da.argmax().
    result = self.variable.argmin(dim, axis, keep_attrs, skipna)

xarray/tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg0-np_arg0-mean]
xarray/tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg1-np_arg1-mean]
xarray/tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg2-np_arg2-mean]
xarray/tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg3-np_arg3-mean]
xarray/tests/test_variable.py::TestVariableWithDask::test_pad[xr_arg4-np_arg4-mean]
  /home/vsts/work/1/s/xarray/core/dask_array_compat.py:142: UserWarning: dask.array.pad(mode=""mean"") converts integers to floats. xarray converts these floats back to integers to keep the interface consistent. There is a chance that this introduces rounding errors. If you wish to keep the values as floats, first change the dtype to a float before calling pad.
    UserWarning,

-- Docs: https://docs.pytest.org/en/stable/warnings.html
-------- generated xml file: /home/vsts/work/1/s/junit/test-results.xml --------

```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209
https://github.com/pydata/xarray/issues/3266#issuecomment-589032374,https://api.github.com/repos/pydata/xarray/issues/3266,589032374,MDEyOklzc3VlQ29tbWVudDU4OTAzMjM3NA==,490531,2020-02-20T13:48:15Z,2020-02-20T13:48:15Z,CONTRIBUTOR,"These are the (much less numerous) warnings without pint:
```
=============================== warnings summary ===============================
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
xarray/tests/test_accessor_str.py::test_empty_str_methods
  /build/python-xarray/src/xarray-0.15.0/xarray/core/duck_array_ops.py:224: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
    flag_array = (arr1 == arr2) | (isnull(arr1) & isnull(arr2))

xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing
xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing
  <__array_function__ internals>:5: DeprecationWarning: `np.alen` is deprecated, use `len` instead

xarray/tests/test_concat.py::test_concat_compat
  /build/python-xarray/src/xarray-0.15.0/xarray/core/dataarray.py:669: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
    return key in self.data

xarray/tests/test_dataarray.py::TestDataArray::test_stack_unstack
  /usr/lib/python3.8/site-packages/pandas/util/__init__.py:12: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
    import pandas.util.testing

xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_empty_series
  /build/python-xarray/src/xarray-0.15.0/xarray/tests/test_dataarray.py:3468: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.
    expected = pd.Series([])

xarray/tests/test_duck_array_ops.py::test_datetime_mean[False]
xarray/tests/test_duck_array_ops.py::test_datetime_mean[False]
xarray/tests/test_groupby.py::test_groupby_drops_nans
  /build/python-xarray/src/xarray-0.15.0/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice
    return np.nanmean(a, axis=axis, dtype=dtype)
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209
https://github.com/pydata/xarray/issues/3266#issuecomment-587593888,https://api.github.com/repos/pydata/xarray/issues/3266,587593888,MDEyOklzc3VlQ29tbWVudDU4NzU5Mzg4OA==,490531,2020-02-18T18:00:40Z,2020-02-18T18:00:40Z,CONTRIBUTOR,Even 99% by number. ;) And essentially only one warning repeated 5k times.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209
https://github.com/pydata/xarray/issues/3266#issuecomment-587591105,https://api.github.com/repos/pydata/xarray/issues/3266,587591105,MDEyOklzc3VlQ29tbWVudDU4NzU5MTEwNQ==,5635139,2020-02-18T17:54:41Z,2020-02-18T17:54:41Z,MEMBER,"> If people want more, here are some from a fresh compilation: https://paste.xinu.at/LnH/

Although it looks like we've regressed, 95% of those (by number, not necessarily effort) are pint","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209
https://github.com/pydata/xarray/issues/3266#issuecomment-587574737,https://api.github.com/repos/pydata/xarray/issues/3266,587574737,MDEyOklzc3VlQ29tbWVudDU4NzU3NDczNw==,490531,2020-02-18T17:19:27Z,2020-02-18T17:19:27Z,CONTRIBUTOR,"If people want more, here are some from a fresh compilation: https://paste.xinu.at/LnH/","{""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 2, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209
https://github.com/pydata/xarray/issues/3266#issuecomment-527150500,https://api.github.com/repos/pydata/xarray/issues/3266,527150500,MDEyOklzc3VlQ29tbWVudDUyNzE1MDUwMA==,2448579,2019-09-02T13:34:42Z,2019-09-02T13:34:42Z,MEMBER,"Thanks, @QuLogic ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209
https://github.com/pydata/xarray/issues/3266#issuecomment-526817968,https://api.github.com/repos/pydata/xarray/issues/3266,526817968,MDEyOklzc3VlQ29tbWVudDUyNjgxNzk2OA==,302469,2019-08-31T09:59:28Z,2019-08-31T09:59:28Z,CONTRIBUTOR,"* First one: https://github.com/DanielStutzbach/heapdict/pull/13
* Second/third one: https://github.com/pydap/pydap/issues/203
* linestyle/drawstyle one: #3274","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,485446209