reading multi port files (PR#2) (#31)

* works, not tested well on multi columns


---------

Co-authored-by: Erik Fröjdh <erik.frojdh@gmail.com>

data/.gitignore

@@ -1 +0,0 @@
-*.raw

data/read_multiport.py

@@ -0,0 +1,80 @@
+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
+
+frames = 1
+parts = 2
+
+frame_cols = 1024
+frame_rows = 512
+
+part_cols = 1024
+part_rows = 256
+
+
+parts_data = np.zeros((frames,parts,part_rows,part_cols), dtype = np.uint16)
+data = np.zeros((frames,frame_rows,frame_cols), dtype = np.uint16)
+header = np.zeros((frames,parts), dtype = header_dt)
+
+
+
+
+for frame in range(frames):
+
+    for part in range(parts):
+        file_name = f'jungfrau_double_d{part}_f{frame}_{0}.raw'
+        print("Reading file:", file_name)
+        with open(file_name) as f:
+            header[frame,part] = np.fromfile(f, dtype=header_dt, count = 1)
+            parts_data[frame,part] = np.fromfile(f, dtype=np.uint16,count = part_rows*part_cols).reshape(part_rows,part_cols)
+
+    
+    data[frame] = np.concatenate((parts_data[frame,0],parts_data[frame,1]),axis=0)
+
+
+
+# for frame in range(frames):
+#     print("Frame:", frame)
+#     print("Data:\n", data[frame])
+
+# print(data[0,0,0])
+# print(data[0,0,1])
+# print(data[0,0,50])
+print(data[0,0,0])
+print(data[0,0,1])
+print(data[0,255,1023])
+
+print(data[0,511,1023])
+# print()
+# print(parts_data[0,0,0,0])
+# print(parts_data[0,0,0,1])
+# print(parts_data[0,0,1,0])
+
+# print(data.shape)
+
+
+
+#fig, ax = plt.subplots()
+#im = ax.imshow(data[0])
+#im.set_clim(2000,4000)