added half module and single chip

dat/write_dat_files.py

@@ -5,36 +5,130 @@
 import numpy as np
 import tifffile
 
-img = tifffile.imread("AldoJF500k.tiff")
+def write_dat_file_module():
+    # img = tifffile.imread("AldoJF500k.tiff")
 
-# Filename is name_000000.dat
+    # # Filename is name_000000.dat
-# Header is frame number and bunch id 8+8 bytes
+    # # Header is frame number and bunch id 8+8 bytes
-# Data is 2 bytes per pixel
+    # # 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( ))
 
-header = np.zeros(2, dtype=np.uint64)
+    #             if file_index == 3 and i == 3:
-file_index = 0
+    #                 break
-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:
+    # headers = np.array(headers)
-                break
+    # frames = np.array(frames)
+    # print(header.shape, frames.shape)
+    with np.load('AldoJF500k.npz') as f:
+        headers = f["headers"]
+        frames = f["frames"]
 
-headers = np.array(headers)
+    new_header = np.zeros(headers.shape[0], dtype = [('framenum', np.uint64), ('bunchid', np.uint64)])
-frames = np.array(frames)
+    for i in range(headers.shape[0]):
-print(header.shape, frames.shape)
+        new_header[i][0] = headers[i][0]
+        new_header[i][1] = headers[i][1]
 
-np.savez('AldoJF500k.npz', headers=headers, frames=frames)
+    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()