aare-test-data/dat/write_dat_files.py
2025-04-07 11:06:35 +02:00

134 lines
4.6 KiB
Python

# Script to write .dat files for testing
# Gives the opportunity to test the dat files
# with small files
import numpy as np
import tifffile
def write_dat_file_module():
# img = tifffile.imread("AldoJF500k.tiff")
# # Filename is name_000000.dat
# # Header is frame number and bunch id 8+8 bytes
# # Data is 2 bytes per pixel
# header = np.zeros(2, dtype=np.uint64)
# file_index = 0
# frame_number = 1
# frames = []
# headers = []
# for file_index in range(4):
# with open(f"AldoJF500k_{file_index:06d}.dat", "wb") as f:
# for i in range(1,8,1):
# frame = np.random.normal(img, np.sqrt(img))
# frame = np.clip(frame, 0, 65535) #avoid negative values
# frame = frame.astype(np.uint16)
# header[0] = frame_number
# header[1] = frame_number**2
# frame_number += 1
# header.tofile(f)
# frame.tofile(f)
# headers.append(header.copy())
# frames.append(frame.copy( ))
# if file_index == 3 and i == 3:
# break
# headers = np.array(headers)
# frames = np.array(frames)
# print(header.shape, frames.shape)
with np.load('AldoJF500k.npz') as f:
headers = f["headers"]
frames = f["frames"]
new_header = np.zeros(headers.shape[0], dtype = [('framenum', np.uint64), ('bunchid', np.uint64)])
for i in range(headers.shape[0]):
new_header[i][0] = headers[i][0]
new_header[i][1] = headers[i][1]
np.savez('AldoJF500k.npz', headers=new_header, frames=frames)
def write_dat_file_half_module():
# img = tifffile.imread("AldoJF500k.tiff")
# img = img[0:256,:]
# header = np.zeros(2, dtype=np.uint64)
# file_index = 0
# frame_number = 1
# frames = []
# headers = []
# for file_index in range(7):
# with open(f"AldoJF250k_{file_index:06d}.dat", "wb") as f:
# for i in range(1,9,1):
# frame = np.random.normal(img, np.sqrt(img))
# frame = np.clip(frame, 0, 65535) #avoid negative values
# frame = frame.astype(np.uint16)
# header[0] = frame_number
# header[1] = frame_number**2
# frame_number += 1
# header.tofile(f)
# frame.tofile(f)
# headers.append(header.copy())
# frames.append(frame.copy( ))
# if file_index == 6 and i == 5:
# break
# headers = np.array(headers)
# frames = np.array(frames)
# print(header.shape, frames.shape)
with np.load('AldoJF250k.npz') as f:
headers = f["headers"]
frames = f["frames"]
new_header = np.zeros(headers.shape[0], dtype = [('framenum', np.uint64), ('bunchid', np.uint64)])
for i in range(headers.shape[0]):
new_header[i][0] = headers[i][0]
new_header[i][1] = headers[i][1]
np.savez('AldoJF250k.npz', headers=new_header, frames=frames)
def write_dat_file_single_chip():
# img = tifffile.imread("AldoJF500k.tiff")
# x = 580
# y = 220
# img = img[y:y+256, x:x+256]
# header = np.zeros(2, dtype=np.uint64)
# file_index = 0
# frame_number = 1
# frames = []
# headers = []
# for file_index in range(7):
# with open(f"AldoJF65k_{file_index:06d}.dat", "wb") as f:
# for i in range(1,19,1):
# frame = np.random.normal(img, np.sqrt(img))
# frame = np.clip(frame, 0, 65535) #avoid negative values
# frame = frame.astype(np.uint16)
# header[0] = frame_number
# header[1] = frame_number**2
# frame_number += 1
# header.tofile(f)
# frame.tofile(f)
# headers.append(header.copy())
# frames.append(frame.copy( ))
# if file_index == 6 and i == 5:
# break
# headers = np.array(headers)
# frames = np.array(frames)
# print(header.shape, frames.shape)
with np.load('AldoJF65k.npz') as f:
headers = f["headers"]
frames = f["frames"]
new_header = np.zeros(headers.shape[0], dtype = [('framenum', np.uint64), ('bunchid', np.uint64)])
for i in range(headers.shape[0]):
new_header[i][0] = headers[i][0]
new_header[i][1] = headers[i][1]
np.savez('AldoJF65k.npz', headers=new_header, frames=frames)
if __name__ == "__main__":
# write_dat_file_module()
write_dat_file_half_module()
write_dat_file_single_chip()