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import numpy as np
import xarray as xr
from . import parameterized, requires_dask
ntime = 365 * 30
nx = 50
ny = 50
rng = np.random.default_rng(0)
class Align:
def setup(self, *args, **kwargs):
data = rng.standard_normal((ntime, nx, ny))
self.ds = xr.Dataset(
{"temperature": (("time", "x", "y"), data)},
coords={
"time": xr.date_range("2000", periods=ntime),
"x": np.arange(nx),
"y": np.arange(ny),
},
)
self.year = self.ds.time.dt.year
self.idx = np.unique(rng.integers(low=0, high=ntime, size=ntime // 2))
self.year_subset = self.year.isel(time=self.idx)
@parameterized(["join"], [("outer", "inner", "left", "right", "exact", "override")])
def time_already_aligned(self, join):
xr.align(self.ds, self.year, join=join)
@parameterized(["join"], [("outer", "inner", "left", "right")])
def time_not_aligned(self, join):
xr.align(self.ds, self.year[-100:], join=join)
@parameterized(["join"], [("outer", "inner", "left", "right")])
def time_not_aligned_random_integers(self, join):
xr.align(self.ds, self.year_subset, join=join)
class AlignCFTime(Align):
def setup(self, *args, **kwargs):
super().setup()
self.ds["time"] = xr.date_range("2000", periods=ntime, calendar="noleap")
self.year = self.ds.time.dt.year
self.year_subset = self.year.isel(time=self.idx)
class AlignDask(Align):
def setup(self, *args, **kwargs):
requires_dask()
super().setup()
self.ds = self.ds.chunk({"time": 100})
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