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https://github.com/slsdetectorgroup/aare.git
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70acfbf4ac
* read subfiles with unordered and missing frames * save work debugging * Revert "save work debugging" This reverts commit e791992a05efd754f93a80c980d17397eb4b6045. * Revert "read subfiles with unordered and missing frames" This reverts commit 1177fd129d3690db92e9597ccda62598e5a44d41. * throw when two frames have different frame numbers * write single part RawFile (working beta) * correct total number of frames in master file * add new mythen file with syncd frames * read frames with same frame number * clang-tidy fixes, formatting, add tests * improve readability in loop * fix failing tests --------- Co-authored-by: Bechir <bechir.brahem420@gmail.com>
63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
###
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### Verify that the raw file written by the raw_example.cpp are correct
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###
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import numpy as np
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header_dt = np.dtype(
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[
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("Frame Number", "u8"),
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("SubFrame Number/ExpLength", "u4"),
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("Packet Number", "u4"),
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("Bunch ID", "u8"),
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("Timestamp", "u8"),
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("Module Id", "u2"),
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("Row", "u2"),
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("Column", "u2"),
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("Reserved", "u2"),
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("Debug", "u4"),
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("Round Robin Number", "u2"),
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("Detector Type", "u1"),
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("Header Version", "u1"),
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("Packets caught mask", "8u8")
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]
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)
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frames = 1
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parts = 1
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frame_per_file = 3
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bytes_per_pixel = 2
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frame_cols = 512
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frame_rows = 1024
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part_cols = 512
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part_rows = 1024
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# parts_data = np.zeros((frames,parts,part_rows,part_cols), dtype = np.uint16)
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data = np.zeros((frames,frame_rows,frame_cols), dtype = np.uint16)
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header = np.zeros((frames,parts), dtype = header_dt)
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# verify that all parts have the same frame number
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for frame in range(frames):
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for part in range(parts):
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file_name = f'/tmp/raw_example_writing_d{part}_f{frame//frame_per_file}_{0}.raw'
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with open(file_name) as f:
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offset = (frame%frame_per_file)*(header_dt.itemsize+part_rows*part_cols*bytes_per_pixel)
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# print(f"Reading file: {file_name} at offset {offset}")
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header[frame,part] = np.fromfile(f, dtype=header_dt, count = 1,offset=offset)
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# print(f"Frame {frame} part {part} frame number: {header[frame,part]['Frame Number']}")
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data[frame] = np.fromfile(f, dtype=np.uint16,count = frame_rows*frame_cols).reshape(frame_rows,frame_cols)
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for frame in range(frames):
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for i,j in np.ndindex(data[frame].shape):
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assert(data[frame][i,j] == i+j)
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print("[X] frame data is correct")
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