issues: 1461231016
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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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1461231016 | I_kwDOAMm_X85XGJ2o | 7312 | polyval doesn't bind the output type | 25172489 | closed | 0 | 3 | 2022-11-23T07:55:45Z | 2022-11-26T15:42:52Z | 2022-11-26T15:42:52Z | NONE | What happened?We recently updated our package requirements to current xarray, and while some typing things got better for us, What did you expect to happen?Output type should depend on the input types. Minimal Complete Verifiable Example```Python from future import annotations import numpy as np import xarray as xr coeffs = xr.DataArray([1, 1]) xvals = xr.DataArray(np.arange(10)) result = xr.polyval(xvals, coeffs=coeffs) reveal_type(result) ``` MVCE confirmation
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Anything else we need to know?No response Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.10 (main, Mar 15 2022, 15:56:56)
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.49.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.9.0
xarray: 2022.11.0
pandas: 1.5.1
numpy: 1.23.5
scipy: 1.9.3
netCDF4: 1.6.2
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.6.2
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 65.6.0
pip: 22.3.1
conda: None
pytest: 7.2.0
IPython: 8.6.0
sphinx: None
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completed | 13221727 | issue |