Read raw files with gap pixels

RawFile takes an optional GapPixels configuration and assembles every
frame with the gaps inserted: the gap lines are filled, each module part
is scattered through the scratch buffer into its gapped position and,
if configured, the counts of the chip edge pixels are split. rows(),
cols(), pixels_per_frame() and bytes_per_frame() include the gaps, for
the full frame and for each ROI. File forwards FileConfig::gap_pixels to
RawFile and rejects it for other file types. Only Jungfrau and Eiger are
supported.

Python RawFile and File accept gap_pixels as a bool or a GapPixels and
expose it as a property. Frame shapes come from rows() and cols().

Adds the module layout assembly tests and the raw file benchmark that
the assembly refactor went in without, since the gap tests build on the
generalized raw file helper.
This commit is contained in:
Erik Fröjdh committed 2026-10-15 11:41:27 +02:00
1 parent d1e432f8ca
commit 7e91a5e1af
19 files changed
+949 -46

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@@ -2,6 +2,7 @@
import pytest
import json
from aare import File, RawFile, RawSubFile, DetectorType, ROI, UDPPortPosition, xy
from aare import GapPixels, ModuleGaps, insert_gap_pixels
import numpy as np
@@ -28,6 +29,46 @@ def small_raw_file(tmp_path):
return master_path
MODULE_ROWS = 2
MODULE_COLS = 3
def write_module_layout(directory, layout_rows, layout_cols, frames=2,
module_rows=MODULE_ROWS, module_cols=MODULE_COLS,
detector_type="Jungfrau"):
"""Write a raw file series with modules in the given layout.
Modules are numbered as DetectorGeometry orders them, down each column
first, and every module holds distinct values so misplacement is visible.
Returns the master path and the expected image of frame 0.
"""
master_path = directory / "run_master_0.json"
master_path.write_text(json.dumps({
"Version": 7.2,
"Detector Type": detector_type,
"Timing Mode": "auto",
"Geometry": {"x": layout_cols, "y": layout_rows},
"Image Size in bytes": module_rows * module_cols * 2,
"Pixels": {"x": module_cols, "y": module_rows},
"Max Frames Per File": 1,
"Total Frames": frames,
"Frames in File": frames,
"Frame Padding": 1,
"Frame Discard Policy": "nodiscard",
}))
expected = np.zeros((module_rows * layout_rows, module_cols * layout_cols), dtype=np.uint16)
for module in range(layout_rows * layout_cols):
module_row, module_col = module % layout_rows, module // layout_rows
pixels = ((np.arange(module_rows * module_cols, dtype=np.uint32) + module * 10 + 1) % 65536).astype(np.uint16)
expected[module_row * module_rows:(module_row + 1) * module_rows,
module_col * module_cols:(module_col + 1) * module_cols] = pixels.reshape(module_rows, module_cols)
for index in range(frames):
data_path = directory / f"run_d{module}_f{index}_0.raw"
# 112 byte detector header followed by the module pixels
data_path.write_bytes(bytes(112) + pixels.tobytes())
return master_path, expected
@pytest.mark.parametrize("reader_type", [RawFile, File])
@pytest.mark.parametrize("legacy_master", [False, True])
@pytest.mark.parametrize("padding, policy, supported", [
@@ -453,3 +494,110 @@ def test_read_eiger_udp_port_disabled(test_data_path):
assert len(rois) == 2
assert rois[0] == ROI(0, 512, 0, 512)
assert rois[1] == ROI(1024, 1536, 0, 512)
@pytest.mark.parametrize("layout", [(1, 1), (2, 1), (1, 2), (2, 2), (3, 2)])
@pytest.mark.parametrize("reader_type", [RawFile, File])
def test_raw_file_assembles_module_layout(tmp_path, layout, reader_type):
layout_rows, layout_cols = layout
master_path, expected = write_module_layout(tmp_path, layout_rows, layout_cols)
with reader_type(master_path) as reader:
# RawFile binds rows/cols as methods (ROI overloads), File as properties
rows = reader.rows() if reader_type is RawFile else reader.rows
cols = reader.cols() if reader_type is RawFile else reader.cols
assert (rows, cols) == expected.shape
result = reader.read_frame()
image = result[1] if reader_type is RawFile else result
assert image.shape == expected.shape
assert (image == expected).all()
reader.seek(0)
result = reader.read_n(2)
images = result[1] if reader_type is RawFile else result
assert images.shape == (2,) + expected.shape
assert (images == expected).all()
@pytest.mark.parametrize("layout", [(1, 1), (2, 1), (1, 2)])
def test_raw_file_gap_pixels(tmp_path, layout):
layout_rows, layout_cols = layout
master_path, expected = write_module_layout(tmp_path, layout_rows, layout_cols,
module_rows=512, module_cols=1024)
gaps = GapPixels(fill_value=5)
with RawFile(master_path, gap_pixels=gaps) as reader:
assert reader.gap_pixels == gaps
# one chip boundary per module row, three per module column and no
# gap between modules
assert (reader.rows(), reader.cols()) == ((512 + 2) * layout_rows, (1024 + 6) * layout_cols)
header, image = reader.read_frame()
assert header.size == layout_rows * layout_cols
assert (image == insert_gap_pixels(expected, gaps)).all()
reader.seek(0)
_, images = reader.read_n(2)
assert images.shape == (2, reader.rows(), reader.cols())
assert (images[1] == image).all()
with RawFile(master_path) as reader:
assert reader.gap_pixels is None
assert (reader.rows(), reader.cols()) == expected.shape
with RawFile(master_path, gap_pixels=True) as reader:
assert reader.gap_pixels == GapPixels()
_, image = reader.read_frame()
assert (image == insert_gap_pixels(expected)).all()
with File(master_path, gap_pixels=True) as reader:
assert (reader.rows, reader.cols) == insert_gap_pixels(expected).shape
assert (reader.read_frame() == insert_gap_pixels(expected)).all()
module_gaps = GapPixels(module_gaps=ModuleGaps(8, 36))
with File(master_path, gap_pixels=module_gaps) as reader:
assert (reader.read_frame() == insert_gap_pixels(expected, module_gaps)).all()
def test_raw_file_gap_pixels_split_counts(tmp_path):
master_path, expected = write_module_layout(tmp_path, 1, 1, module_rows=512, module_cols=1024)
gaps = GapPixels(split_counts=True, seed=11)
with RawFile(master_path, gap_pixels=gaps) as reader:
_, image = reader.read_frame()
assert (image == insert_gap_pixels(expected, gaps)).all()
assert image.sum() == expected.sum()
def test_raw_file_gap_pixels_unsupported_detector(tmp_path):
master_path, _ = write_module_layout(tmp_path, 1, 1, detector_type="Moench")
RawFile(master_path)
with pytest.raises(ValueError):
RawFile(master_path, gap_pixels=True)
with pytest.raises(ValueError):
File(master_path, gap_pixels=True)
@pytest.mark.withdata
def test_raw_file_gap_pixels_recorded_jungfrau(test_data_path):
path = test_data_path / "raw/jungfrau/jungfrau_single_master_0.json"
gaps = GapPixels(fill_value=3)
with RawFile(path, gap_pixels=gaps) as gapped, RawFile(path) as plain:
assert (gapped.rows(), gapped.cols()) == (514, 1030)
_, image = gapped.read_frame()
_, reference = plain.read_frame()
assert image.shape == (514, 1030)
assert (image == insert_gap_pixels(reference, gaps)).all()
@pytest.mark.withdata
def test_raw_file_gap_pixels_recorded_rois(test_data_path):
path = test_data_path / "raw/ROITestData/MultipleROIs/run_master_0.json"
with RawFile(path, gap_pixels=True) as gapped, RawFile(path) as plain:
assert gapped.num_rois == 2
_, images = gapped.read_rois()
_, references = plain.read_rois()
rois = plain.master.rois
assert images[0].shape == (303, 103)
assert images[1].shape == (101, 103)
for image, reference, roi in zip(images, references, rois):
assert (image == insert_gap_pixels(reference, roi=roi)).all()
gapped.seek(0)
_, frames = gapped.read_n_with_roi(2, roi_index=1)
assert frames.shape == (2, 101, 103)