code formating

drunsinn · Apr 15, 2023 · 15ea3bb · 15ea3bb
1 parent 3b74d5d
commit 15ea3bb
Show file tree

Hide file tree

Showing 5 changed files with 12 additions and 14 deletions.
diff --git a/pyLSV2/client.py b/pyLSV2/client.py
@@ -1351,7 +1351,6 @@ def read_plc_memory(
         plc_values = []
 
         if mem_type is lc.MemoryType.STRING:
-
             for i in range(number_of_elements):
                 address = (
                     start_address + first_element * mem_byte_count + i * mem_byte_count
@@ -1381,7 +1380,6 @@ def read_plc_memory(
                     )
                     return []
         else:
-
             max_elements_per_transfer = math.floor(255 / mem_byte_count)
             num_groups = math.ceil(number_of_elements / max_elements_per_transfer)
             logging.debug(

diff --git a/pyLSV2/misc_scope.py b/pyLSV2/misc_scope.py
@@ -185,8 +185,8 @@ def decode_scope_reading(
             unit=signal.unit,
         )
 
-        #header = data_set[sig_data_start : sig_data_start + 6]
-        #if header != bytearray(b"\x00\x20\xff\xff\xff\xff"):
+        # header = data_set[sig_data_start : sig_data_start + 6]
+        # if header != bytearray(b"\x00\x20\xff\xff\xff\xff"):
         #    raise LSV2DataException("unknown signal header format")
 
         unpack_string = "!32l"

diff --git a/scripts/lsv2_demo.py b/scripts/lsv2_demo.py
@@ -42,7 +42,6 @@
     print("Connecting to {}".format(args.address))
 
     with pyLSV2.LSV2(args.address, port=19000, timeout=5) as con:
-
         con = pyLSV2.LSV2(args.address, port=19000, timeout=5, safe_mode=False)
         con.connect()
 

diff --git a/scripts/real_time_readings.py b/scripts/real_time_readings.py
@@ -36,7 +36,7 @@
     with open("data.txt", "w") as fp:
         readings_counter = 0
         count_high_freq = 0
-        
+
         for package in con.real_time_readings(selected_signals, duration, interval):
             signal_readings = package.get_data()
             readings_per_signal = len(signal_readings[0].data)
@@ -50,8 +50,8 @@
                 # for signal in signal_readings:
                 #    value = (signal.data[i] * signal.factor) + signal.offset
                 #    print(value, signal.unit)
-                if count_high_freq % 5 == 0 :
-                # This condition is only for signals of low frequency
+                if count_high_freq % 5 == 0:
+                    # This condition is only for signals of low frequency
                     position_X = round(
                         signal_readings[0].data[i] * signal_readings[0].factor
                         + signal_readings[0].offset,
@@ -68,12 +68,14 @@
                         3,
                     )
                 I_nominal_X = round(
-                        signal_readings[3].data[i] * signal_readings[3].factor
-                        + signal_readings[3].offset,
-                        3,
-                    )
+                    signal_readings[3].data[i] * signal_readings[3].factor
+                    + signal_readings[3].offset,
+                    3,
+                )
 
-                print(f"Position X = {position_X} mm , Position Y = {position_Y} , Position Z = {position_Z}, I nominal X = {I_nominal_X} ")
+                print(
+                    f"Position X = {position_X} mm , Position Y = {position_Y} , Position Z = {position_Z}, I nominal X = {I_nominal_X} "
+                )
                 fp.write(
                     "Position X = %f mm , Position Y = %f , Position Z = %f , I nominal X = %f\n"
                     % (position_X, position_Y, position_Z, I_nominal_X)

diff --git a/scripts/scope2csv.py b/scripts/scope2csv.py
@@ -132,7 +132,6 @@
             scope_signals.append(new_signal)
 
         with open(args.output, "w", encoding="utf8") as csv_fp:
-
             csv = csv.writer(csv_fp, dialect="excel", lineterminator="\n")
             csv.writerow(list(map(lambda x: x.normalized_name(), scope_signals)))
             readings_counter = 0