mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2025-06-17 01:37:13 +02:00
70acfbf4ac
* read subfiles with unordered and missing frames * save work debugging * Revert "save work debugging" This reverts commite791992a05. * Revert "read subfiles with unordered and missing frames" This reverts commit1177fd129d. * 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
|
|
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 = 1024
|
|
cols = 512
|
|
frames = 1
|
|
|
|
data = np.zeros((frames,rows,cols), dtype = np.uint16)
|
|
header = np.zeros(frames, dtype = header_dt)
|
|
for frame in range(frames):
|
|
|
|
file_name = '/tmp/raw_example_writing_master_'
|
|
print("Reading file:", file_name)
|
|
with open(file_name) as f:
|
|
for i in range(3 if file_id != 3 else 1):
|
|
header[i+file_id*3] = np.fromfile(f, dtype=header_dt, count = 1)
|
|
data[i+file_id*3] = 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(header[i][0,0],data[i][0,1],data[i][1,0],data[i][rows-1,cols-1])
|
|
# print("")
|
|
|
|
|
|
print(header[1]["Frame Number"])
|
|
#fig, ax = plt.subplots()
|
|
#im = ax.imshow(data[0])
|
|
#im.set_clim(2000,4000)
|