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read jungfrau simple file. leak errors

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This commit is contained in:
Bechir Braham
2024-02-22 15:14:16 +01:00
parent a6ff0fc794
commit 315bf6eb5d
19 changed files with 359 additions and 100 deletions
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1
data/.gitignore vendored
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*.raw

47
data/jungfrau_double_master_0.json Normal file
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{
"Version": 7.2,
"Timestamp": "Tue Feb 20 08:29:19 2024",
"Detector Type": "Jungfrau",
"Timing Mode": "auto",
"Geometry": {
"x": 1,
"y": 2
},
"Image Size in bytes": 524288,
"Pixels": {
"x": 1024,
"y": 256
},
"Max Frames Per File": 3,
"Frame Discard Policy": "nodiscard",
"Frame Padding": 1,
"Scan Parameters": "[disabled]",
"Total Frames": 10,
"Receiver Roi": {
"xmin": 4294967295,
"xmax": 4294967295,
"ymin": 4294967295,
"ymax": 4294967295
},
"Exptime": "10us",
"Period": "1ms",
"Number of UDP Interfaces": 2,
"Number of rows": 512,
"Frames in File": 10,
"Frame Header Format": {
"Frame Number": "8 bytes",
"SubFrame Number/ExpLength": "4 bytes",
"Packet Number": "4 bytes",
"Bunch ID": "8 bytes",
"Timestamp": "8 bytes",
"Module Id": "2 bytes",
"Row": "2 bytes",
"Column": "2 bytes",
"Reserved": "2 bytes",
"Debug": "4 bytes",
"Round Robin Number": "2 bytes",
"Detector Type": "1 byte",
"Header Version": "1 byte",
"Packets Caught Mask": "64 bytes"
}
}

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data/jungfrau_single_master_0.json Normal file
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{
"Version": 7.2,
"Timestamp": "Tue Feb 20 08:28:24 2024",
"Detector Type": "Jungfrau",
"Timing Mode": "auto",
"Geometry": {
"x": 1,
"y": 1
},
"Image Size in bytes": 1048576,
"Pixels": {
"x": 1024,
"y": 512
},
"Max Frames Per File": 3,
"Frame Discard Policy": "nodiscard",
"Frame Padding": 1,
"Scan Parameters": "[disabled]",
"Total Frames": 10,
"Receiver Roi": {
"xmin": 4294967295,
"xmax": 4294967295,
"ymin": 4294967295,
"ymax": 4294967295
},
"Exptime": "10us",
"Period": "1ms",
"Number of UDP Interfaces": 1,
"Number of rows": 512,
"Frames in File": 10,
"Frame Header Format": {
"Frame Number": "8 bytes",
"SubFrame Number/ExpLength": "4 bytes",
"Packet Number": "4 bytes",
"Bunch ID": "8 bytes",
"Timestamp": "8 bytes",
"Module Id": "2 bytes",
"Row": "2 bytes",
"Column": "2 bytes",
"Reserved": "2 bytes",
"Debug": "4 bytes",
"Round Robin Number": "2 bytes",
"Detector Type": "1 byte",
"Header Version": "1 byte",
"Packets Caught Mask": "64 bytes"
}
}

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data/read_frame.py Normal file
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import numpy as np
import matplotlib.pyplot as plt
plt.ion()
header_dt = np.dtype(
[
("Frame Number", "u8"),
("SubFrame Number/ExpLength", "u4"),
("Packet Number", "u4"),
("Bunch ID", "u8"),
("Timestamp", "u8"),
("Module Id", "u2"),
("Row", "u2"),
("Column", "u2"),
("Reserved", "u2"),
("Debug", "u4"),
("Round Robin Number", "u2"),
("Detector Type", "u1"),
("Header Version", "u1"),
("Packets caught mask", "8u8")
]
)
# Read three frames from a jungfrau file with a single interface
rows = 512
cols = 1024
frames = 3
data = np.zeros((frames,rows,cols), dtype = np.uint16)
header = np.zeros(frames, dtype = header_dt)
for file_id in range(4):
file_name = 'jungfrau_single_d0_f{}_0.raw'.format(file_id)
print("Reading file:", file_name)
with open(file_name) as f:
for i in range(frames if file_id != 3 else 1):
header[i] = np.fromfile(f, dtype=header_dt, count = 1)
data[i] = np.fromfile(f, dtype=np.uint16,count = rows*cols).reshape(rows,cols)
for i in range(frames if file_id != 3 else 1 ):
print("frame:",i)
print(data[i][0,0],data[i][0,1],data[i][1,0],data[i][rows-1,cols-1])
print("")
#fig, ax = plt.subplots()
#im = ax.imshow(data[0])
#im.set_clim(2000,4000)