issues
3 rows where repo = 13221727 and user = 404832 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date), closed_at (date)
| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2180430069 | I_kwDOAMm_X86B9rj1 | 8820 | "ValueError: dimensions [...] must have the same length as the number of data dimensions" when slicing by zero-dimensional CuPy array | dranjan 404832 | open | 0 | 0 | 2024-03-11T23:21:34Z | 2024-03-11T23:21:34Z | CONTRIBUTOR | What happened?I'm slicing a DataArray by another zero-dimensional array. It works as I would expect when the DataArray and indexing array are backed by NumPy, but not when they're CuPy arrays:
which results in:
What did you expect to happen?If the example is run with NumPy arrays instead of CuPy arrays, we get this, as expected:
Minimal Complete Verifiable Example```Python !/usr/bin/env python3import cupy as cp import xarray as xr a = xr.DataArray(cp.arange(24).reshape(4, 6), dims=['x', 'y']) idx = xr.DataArray(cp.array(2)) print(a.isel(x=idx)) ``` MVCE confirmation
Relevant log output
Anything else we need to know?I briefly looked into this but haven't discovered the cause yet. What I know:
- It appears the buggy behavior was introduced in version 2023.3.0. With 2023.2.0, it gives the correct output.
- I confirmed in the debugger that the indexing operation itself seems to work, and it's really just the dimensions Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.11.8 (main, Feb 25 2024, 16:41:26) [GCC 9.4.0]
python-bits: 64
OS: Linux
OS-release: 5.15.0-100-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: None
libnetcdf: None
xarray: 2024.2.0
pandas: 1.5.3
numpy: 1.26.4
scipy: None
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: None
nc_time_axis: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: None
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: 13.0.0
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: None
pip: None
conda: None
pytest: None
mypy: None
IPython: None
sphinx: None
|
{
"url": "https://api.github.com/repos/pydata/xarray/issues/8820/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
xarray 13221727 | issue | ||||||||
| 1848392846 | PR_kwDOAMm_X85Xz2MY | 8067 | Fix assignment with .loc | dranjan 404832 | closed | 0 | 6 | 2023-08-13T04:02:09Z | 2023-09-12T18:17:12Z | 2023-09-12T18:17:09Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/8067 |
Apparently |
{
"url": "https://api.github.com/repos/pydata/xarray/issues/8067/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
xarray 13221727 | pull | |||||
| 903055859 | MDU6SXNzdWU5MDMwNTU4NTk= | 5384 | Regression: "ValueError: cannot unstack dimensions that do not have a MultiIndex" when unstacking a MultiIndex | dranjan 404832 | closed | 0 | 5 | 2021-05-27T00:34:27Z | 2021-05-28T08:28:11Z | 2021-05-28T08:28:11Z | CONTRIBUTOR | I'm not sure if this is a bug or I'm not using What happened:
What you expected to happen: The code runs without the Minimal Complete Verifiable Example: ```python from xarray import DataArray, Dataset a = DataArray([0], dims=['a']) b = a.stack(b=('a',)).reset_index('b') c = b.stack({'c': ['b']}) ds = Dataset({'d': DataArray(c.data, dims=['c'])}, coords=c.coords) print('\nBefore:') print(ds) ds = ds.unstack(['c']) print('\nAfter:') print(ds) ``` Anything else we need to know?: Here's the full output from the example on 0.18.2: ``` Before:
<xarray.Dataset>
Dimensions: (c: 1)
Coordinates:
* c (c) MultiIndex
- b (c) int64 0
a (c) int64 0
Data variables:
d (c) int64 0
Traceback (most recent call last):
File "scripts/repro.py", line 12, in <module>
ds = ds.unstack(['c'])
File "/home/darsh/src/notebooks/build/venv/lib/python3.8/site-packages/xarray/core/dataset.py", line 4024, in unstack
raise ValueError(
ValueError: cannot unstack dimensions that do not have a MultiIndex: ['c']
Oddly, it seems to work if I assign the coordinates after constructing the dataset: ```diff diff --git a/scripts/repro.py b/scripts/repro.py index ed2ae7c..d5bd6a3 100644 --- a/scripts/repro.py +++ b/scripts/repro.py @@ -5,7 +5,7 @@ a = DataArray([0], dims=['a']) b = a.stack(b=('a',)).reset_index('b') c = b.stack({'c': ['b']}) -ds = Dataset({'d': DataArray(c.data, dims=['c'])}, coords=c.coords) +ds = Dataset({'d': DataArray(c.data, dims=['c'])}).assign_coords(c.coords) print('\nBefore:') print(ds) ``` With that workaround, or by downgrading to 0.16.2, the example doesn't crash: ``` Before: <xarray.Dataset> Dimensions: (c: 1) Coordinates: * c (c) MultiIndex - b (c) int64 0 a (c) int64 0 Data variables: d (c) int64 0 After: <xarray.Dataset> Dimensions: (b: 1) Coordinates: a (b) int64 0 * b (b) int64 0 Data variables: d (b) int64 0 ``` Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.8.0 (default, Feb 25 2021, 22:10:10) [GCC 8.4.0] python-bits: 64 OS: Linux OS-release: 5.4.0-73-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: None libnetcdf: None xarray: 0.18.2 pandas: 1.2.4 numpy: 1.20.3 scipy: 1.6.3 netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2021.05.0 distributed: None matplotlib: 3.4.2 cartopy: None seaborn: None numbagg: None pint: 0.17 setuptools: 39.0.1 pip: 21.1.1 conda: None pytest: 6.2.4 IPython: 7.23.1 sphinx: None None |
{
"url": "https://api.github.com/repos/pydata/xarray/issues/5384/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
completed | xarray 13221727 | issue |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issues] (
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[number] INTEGER,
[title] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[state] TEXT,
[locked] INTEGER,
[assignee] INTEGER REFERENCES [users]([id]),
[milestone] INTEGER REFERENCES [milestones]([id]),
[comments] INTEGER,
[created_at] TEXT,
[updated_at] TEXT,
[closed_at] TEXT,
[author_association] TEXT,
[active_lock_reason] TEXT,
[draft] INTEGER,
[pull_request] TEXT,
[body] TEXT,
[reactions] TEXT,
[performed_via_github_app] TEXT,
[state_reason] TEXT,
[repo] INTEGER REFERENCES [repos]([id]),
[type] TEXT
);
CREATE INDEX [idx_issues_repo]
ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
ON [issues] ([user]);