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perf: skip radial bins computation when PYAUTO_WORKSPACE_SMALL_DATASETS=1 #258

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Merged
Jammy2211 merged 1 commit into from
Apr 7, 2026
Merged

perf: skip radial bins computation when PYAUTO_WORKSPACE_SMALL_DATASETS=1 #258

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8 changes: 8 additions & 0 deletions autoarray/operators/over_sampling/over_sample_util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -232,6 +232,9 @@ def over_sample_size_via_radial_bins_from(
"""
Returns an adaptive sub-grid size based on the radial distance of every pixel from the centre of the mask.

When ``PYAUTO_WORKSPACE_SMALL_DATASETS=1`` returns a uniform size-2 array
immediately, skipping the expensive radial-bin computation and numba JIT.

The adaptive sub-grid size is computed as follows:

1) Compute the radial distance of every pixel in the mask from the centre of the mask (or input centres).
Expand Down Expand Up @@ -264,6 +267,11 @@ def over_sample_size_via_radial_bins_from(
the centre of the mask.
"""

import os

if os.environ.get("PYAUTO_WORKSPACE_SMALL_DATASETS") == "1":
return Array2D(values=np.full(grid.shape_slim, 2.0), mask=grid.mask)

if centre_list is None:
centre_list = [grid.mask.mask_centre]

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