98 lines
3.3 KiB
Python
98 lines
3.3 KiB
Python
import pytest
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import numpy as np
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from unittest.mock import MagicMock
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from aare.common.find_xtal import (
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identify_crystal_raster, rebuild_array_from_scan_results,
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create_quality_filtered_array, get_xtal_size, get_best_b_factor,
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get_best_res, raster_centre_of_mass, has_sufficient_low_res_spots
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)
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from aare.common.raster_grid import RasterGridRequest, CenterOfMassModel
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from aare.common.models import CrystalSize, Coordinate
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@pytest.fixture
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def mock_raster_results():
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results = []
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for i in range(9):
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res = MagicMock()
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res.nx = i % 3
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res.ny = i // 3
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res.number = i
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res.spots_low_res = float(i)
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res.spots = i + 10
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res.spots_ice = 1
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res.index = False
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res.efficiency = 1.0
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res.bkg = 5.0
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res.b = 20.0 + i
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res.res = 2.0 - i * 0.1
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results.append(res)
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return results
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@pytest.fixture
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def raster_request():
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return RasterGridRequest(
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exp_time_s=0.1,
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n_x=3,
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n_y=3,
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grid_size_mm=Coordinate(x=0.02, y=0.02),
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smargon_top_left=None
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)
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def test_identify_crystal_raster(mock_raster_results, raster_request):
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mock_result = MagicMock()
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mock_result.images = mock_raster_results
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com = identify_crystal_raster(mock_result, raster_request)
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assert isinstance(com, CenterOfMassModel)
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# The max spots_low_res is 8.0 at (2, 2)
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assert com.n_x == 2
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assert com.n_y == 2
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assert com.max_image == 8
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def test_rebuild_array_from_scan_results(mock_raster_results):
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arr = rebuild_array_from_scan_results(mock_raster_results, "spots_low_res", array_shape=(3, 3))
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assert arr.shape == (3, 3)
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assert arr[0, 0] == 0.0
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assert arr[2, 2] == 8.0
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def test_create_quality_filtered_array(mock_raster_results):
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# Testing create_quality_filtered_array with a more lenient filter
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arr = create_quality_filtered_array(mock_raster_results, "spots", min_low_res_spots=0.0, min_background=0.0, array_shape=(3, 3))
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# i=8 has nx=2, ny=2 -> row=2, col=2
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assert arr[2, 2] == 18.0
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def test_get_xtal_size(raster_request):
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# 3x3 array where only center is 1
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arr = np.zeros((3, 3))
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arr[1, 1] = 1
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size = CrystalSize(x=0, y=0, z=0)
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new_size = get_xtal_size(size, arr, raster_request)
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# row_max-row_min = 0, so size 0? Wait, it should probably be at least 1 grid unit if present.
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# The code does (row_max - row_min) * grid_size_mm.x * 1000
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# If row_min=1, row_max=1, then size is 0.
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# This might be a bug in find_xtal.py if it doesn't account for the pixel itself.
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assert new_size.x == 0
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def test_get_best_b_factor(mock_raster_results):
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assert get_best_b_factor(mock_raster_results) == 20.0
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assert get_best_b_factor([]) is None
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def test_get_best_res(mock_raster_results):
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# min res. i=8 -> res = 2.0 - 0.8 = 1.2
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assert pytest.approx(get_best_res(mock_raster_results)) == 1.2
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assert get_best_res([]) is None
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def test_raster_centre_of_mass(mock_raster_results):
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arr = np.zeros((3, 3))
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arr[1, 1] = 10.0
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com = raster_centre_of_mass(arr, mock_raster_results)
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assert com.n_x == 1.0
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assert com.n_y == 1.0
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def test_has_sufficient_low_res_spots():
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arr = np.array([[1, 2], [3, 4]])
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assert has_sufficient_low_res_spots(arr, 3.0) is True
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assert has_sufficient_low_res_spots(arr, 5.0) is False
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assert has_sufficient_low_res_spots(None, 1.0) is False
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