add back tests

Author: Illviljan

asv_bench/benchmarks/combine.py

@@ -0,0 +1,38 @@
+import numpy as np
+
+import xarray as xr
+
+
+class Combine:
+    """Benchmark concatenating and merging large datasets"""
+
+    def setup(self):
+        """Create 4 datasets with two different variables"""
+
+        t_size, x_size, y_size = 50, 450, 400
+        t = np.arange(t_size)
+        data = np.random.randn(t_size, x_size, y_size)
+
+        self.dsA0 = xr.Dataset(
+            {"A": xr.DataArray(data, coords={"T": t}, dims=("T", "X", "Y"))}
+        )
+        self.dsA1 = xr.Dataset(
+            {"A": xr.DataArray(data, coords={"T": t + t_size}, dims=("T", "X", "Y"))}
+        )
+        self.dsB0 = xr.Dataset(
+            {"B": xr.DataArray(data, coords={"T": t}, dims=("T", "X", "Y"))}
+        )
+        self.dsB1 = xr.Dataset(
+            {"B": xr.DataArray(data, coords={"T": t + t_size}, dims=("T", "X", "Y"))}
+        )
+
+    def time_combine_nested(self):
+        datasets = [[self.dsA0, self.dsA1], [self.dsB0, self.dsB1]]
+
+        xr.combine_nested(datasets, concat_dim=[None, "T"])
+
+    def time_combine_by_coords(self):
+        """Also has to load and arrange t coordinate"""
+        datasets = [self.dsA0, self.dsA1, self.dsB0, self.dsB1]
+
+        xr.combine_by_coords(datasets)