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* 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>
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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plt.ion()
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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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# Read three frames from a jungfrau file with a single interface
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rows = 1024
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cols = 512
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frames = 1
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data = np.zeros((frames,rows,cols), dtype = np.uint16)
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header = np.zeros(frames, dtype = header_dt)
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for frame in range(frames):
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file_name = '/tmp/raw_example_writing_master_'
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print("Reading file:", file_name)
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with open(file_name) as f:
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for i in range(3 if file_id != 3 else 1):
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header[i+file_id*3] = np.fromfile(f, dtype=header_dt, count = 1)
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data[i+file_id*3] = np.fromfile(f, dtype=np.uint16,count = rows*cols).reshape(rows,cols)
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# for i in range(frames if file_id != 3 else 1 ):
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# print("frame:",i)
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# print(header[i][0,0],data[i][0,1],data[i][1,0],data[i][rows-1,cols-1])
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# print("")
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print(header[1]["Frame Number"])
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#fig, ax = plt.subplots()
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#im = ax.imshow(data[0])
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#im.set_clim(2000,4000)
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