61 lines
2.4 KiB
Python
61 lines
2.4 KiB
Python
import numpy as np
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from backend.data_types import DataField
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def test_crop_resize_field():
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from backend.nodes.crop_resize import CropResizeField
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node = CropResizeField()
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data = np.arange(32, dtype=np.float64).reshape(4, 8)
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field = DataField(
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data=data,
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xreal=8.0,
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yreal=4.0,
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xoff=10.0,
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yoff=20.0,
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si_unit_xy="nm",
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si_unit_z="nm",
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overlays=[{"kind": "markup", "shapes": [{"kind": "line", "x1": 0.1, "y1": 0.1, "x2": 0.9, "y2": 0.9, "width": 2, "color": "#ffffff"}]}],
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)
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overlays = []
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CropResizeField._broadcast_overlay_fn = lambda nid, data: overlays.append(data)
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CropResizeField._current_node_id = "test"
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cropped, = node.process(field, x1=0.25, y1=0.25, x2=0.75, y2=1.0, target_width=0, target_height=0, interpolation="bilinear")
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assert cropped.data.shape == (3, 4)
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assert np.array_equal(cropped.data, data[1:4, 2:6])
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assert cropped.xreal == 4.0
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assert cropped.yreal == 3.0
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assert cropped.xoff == 12.0
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assert cropped.yoff == 21.0
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assert cropped.si_unit_xy == field.si_unit_xy
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assert cropped.si_unit_z == field.si_unit_z
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assert cropped.overlays == []
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assert len(overlays) == 1
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assert overlays[0]["kind"] == "crop_box"
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assert overlays[0]["image"].startswith("data:image/png;base64,")
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assert overlays[0]["a_locked"] is False
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assert overlays[0]["b_locked"] is False
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resized, = node.process(field, x1=0.0, y1=0.0, x2=1.0, y2=1.0, target_width=8, target_height=0, interpolation="bilinear", corner_a=(0.25, 0.25), corner_b=(0.75, 1.0))
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assert resized.data.shape == (6, 8)
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assert resized.xreal == cropped.xreal
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assert resized.yreal == cropped.yreal
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assert resized.xoff == cropped.xoff
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assert resized.yoff == cropped.yoff
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assert resized.domain == field.domain
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assert overlays[-1]["a_locked"] is True
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assert overlays[-1]["b_locked"] is True
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reversed_crop, = node.process(field, x1=0.75, y1=1.0, x2=0.25, y2=0.25, target_width=0, target_height=0, interpolation="nearest")
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assert np.array_equal(reversed_crop.data, cropped.data)
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try:
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node.process(field, x1=0.9, y1=0.0, x2=0.9, y2=1.0, target_width=0, target_height=0, interpolation="nearest")
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raise AssertionError("Expected invalid crop bounds to raise ValueError")
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except ValueError:
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pass
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CropResizeField._broadcast_overlay_fn = None
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