improve speed of bootstrap tests

Author: nicholasloveday

src/scores/processing/block_bootstrap.py

@@ -5,9 +5,10 @@
 """
 
 import math
+import os
 from collections import OrderedDict
 from itertools import chain, cycle, islice
-from typing import Dict, Iterable, List, Tuple, Union
+from typing import Dict, List, Tuple, Union
 
 import numpy as np
 import xarray as xr
@@ -212,12 +213,12 @@ def _block_bootstrap(  # pylint: disable=too-many-locals
             "arrays containing lists of dimensions to exclude for each array"
         )
     renames = []
+
     for i, (obj, exclude) in enumerate(zip(array_list, exclude_dims)):
         array_list[i] = obj.rename(
             {d: f"dim{ii}" for ii, d in enumerate(exclude)},
         )
         renames.append({f"dim{ii}": d for ii, d in enumerate(exclude)})
-
     dim = list(blocks.keys())
 
     # Ensure bootstrapped dimensions have consistent sizes across arrays_list

tests/processing/test_block_bootstrap.py

@@ -286,32 +286,32 @@ def test_block_bootstrap(objects, blocks, n_iteration, exclude_dims, circular, e
         ),
         # Dask arrays to meet block_size < 1
         (
-            [xr.DataArray(da.random.random((1000, 1000, 30), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"])],
+            [xr.DataArray(da.random.random((110, 110, 30), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"])],
             {"dim1": 2, "dim2": 2},
             2,
             None,
             True,
-            (30, 1000, 1000, 2),
+            (30, 110, 110, 2),
         ),
         # Dask arrays for a case with leftover != 0
         (
-            [xr.DataArray(da.random.random((1000, 1000, 10), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"])],
+            [xr.DataArray(da.random.random((110, 110, 10), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"])],
             {"dim1": 2, "dim2": 2},
             3,
             None,
             True,
-            (10, 1000, 1000, 3),
+            (10, 110, 110, 3),
         ),
         # Dataset with dask arrays
         (
             [
                 xr.Dataset(
                     {
                         "var1": xr.DataArray(
-                            da.random.random((1000, 1000, 30), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"]
+                            da.random.random((110, 110, 30), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"]
                         ),
                         "var2": xr.DataArray(
-                            da.random.random((1000, 1000, 30), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"]
+                            da.random.random((110, 110, 30), chunks=dict(dim1=-1)), dims=["dim1", "dim2", "dim3"]
                         ),
                     }
                 )
@@ -320,7 +320,7 @@ def test_block_bootstrap(objects, blocks, n_iteration, exclude_dims, circular, e
             3,
             None,
             True,
-            (30, 1000, 1000, 3),
+            (30, 110, 110, 3),
         ),
     ],
 )