issues: 1149364539
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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 |
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1149364539 | I_kwDOAMm_X85Egek7 | 6300 | Lazy saving to NetCDF4 fails randomly if an array is used multiple times | 3170788 | open | 0 | 1 | 2022-02-24T14:35:48Z | 2022-10-12T07:03:09Z | NONE | What happened?Saving What did you expect to happen?The saving should work consistently between different runs. Minimal Complete Verifiable Example```Python !/usr/bin/env pythonimport datetime as dt import numpy as np import dask.array as da import xarray as xr COMPUTE = False FNAME = "xr_test.nc" def main(): y = np.arange(1000, dtype=np.uint16) x = np.arange(2000, dtype=np.uint16)
if name == "main": main() ``` Relevant log output
Anything else we need to know?The above script fails randomly, thus it should be run several times. Out of ten runs I got the trace twice. If The same behaviour is seen if the EnvironmentINSTALLED VERSIONScommit: None python: 3.9.9 | packaged by conda-forge | (main, Dec 20 2021, 02:41:03) [GCC 9.4.0] python-bits: 64 OS: Linux OS-release: 5.13.0-30-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 0.20.2 pandas: 1.3.5 numpy: 1.22.0 scipy: 1.7.3 netCDF4: 1.5.8 pydap: None h5netcdf: 0.13.0 h5py: 3.6.0 Nio: None zarr: 2.10.3 cftime: 1.5.1.1 nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.10 cfgrib: None iris: None bottleneck: None dask: 2022.01.0 distributed: 2022.01.0 matplotlib: 3.5.1 cartopy: 0.20.2 seaborn: 0.11.2 numbagg: None fsspec: 2022.01.0 cupy: None pint: None sparse: None setuptools: 59.8.0 pip: 21.3.1 conda: None pytest: 6.2.5 IPython: 8.0.0 sphinx: 4.3.2 |
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13221727 | issue |