From 72119995d1a3171581e600744cc425bf5bd80821 Mon Sep 17 00:00:00 2001
From: Mads Jakobsen <mads.jakobsen@xfel.eu>
Date: Wed, 12 Mar 2025 11:14:39 +0100
Subject: [PATCH] indent error
---
.../src/onlinemid_karabo/processor.py | 82 +++++++++----------
1 file changed, 41 insertions(+), 41 deletions(-)
diff --git a/karabo_devices/shared_mem_processor/src/onlinemid_karabo/processor.py b/karabo_devices/shared_mem_processor/src/onlinemid_karabo/processor.py
index 5e866be..36702d0 100644
--- a/karabo_devices/shared_mem_processor/src/onlinemid_karabo/processor.py
+++ b/karabo_devices/shared_mem_processor/src/onlinemid_karabo/processor.py
@@ -357,16 +357,18 @@ class OnlineMIDProcessor(TrainMatcher.TrainMatcher):
def handle_detector_data_list(self, train_id, detector_data_list, numPixelPerGainStage=None):
- print("in gandle detector data")
- # time_to_handle_list_0 = time.perf_counter()
+ print("in handle detector data")
+
+ # time_to_handle_list_0 = time.perf_counter()
- # self.online_processing_memory, online_output_dict = onlinexpcsutils.compute_xpcs_from_detector_data_list(
- # detector_data_list,
- # xpcs_processing_memory=self.online_processing_memory,
- # xpcs_settings=self.xpcs_settings)
- # print("time_to_handle_list 0", time.perf_counter() - time_to_handle_list_0)
+ # self.online_processing_memory, online_output_dict = onlinexpcsutils.compute_xpcs_from_detector_data_list(
+ # detector_data_list,
+ # xpcs_processing_memory=self.online_processing_memory,
+ # xpcs_settings=self.xpcs_settings)
+ # print("time_to_handle_list 0", time.perf_counter() - time_to_handle_list_0)
- ''' roi = self.xpcs_settings['qbin']
+ '''
+ roi = self.xpcs_settings['qbin']
self.runningstats_processing_memory, runningstats_output_dict = runningstats.process_detector_data_list(
detector_data_list,
roi,
@@ -378,38 +380,38 @@ class OnlineMIDProcessor(TrainMatcher.TrainMatcher):
runningstats_output_dict['numPixelPerGainStage'] = numPixelPerGainStage
'''
- # time_to_handle_list_1 = time.perf_counter()
+ # time_to_handle_list_1 = time.perf_counter()
- # selected_module_key = onlinexpcsutils.agipd_source_module_no_to_unique_string_id(self.get('module_number_for_plotting'))
+ # selected_module_key = onlinexpcsutils.agipd_source_module_no_to_unique_string_id(self.get('module_number_for_plotting'))
- # print("time_to_handle_list 1", time.perf_counter() - time_to_handle_list_1)
+ # print("time_to_handle_list 1", time.perf_counter() - time_to_handle_list_1)
# get module related plots from processing memory
# this is made via matplotlib, plotting takes time,
# the following code ensure plotting is only asked every 0.9 seeconds
- # time_to_handle_list_2 = time.perf_counter()
+ # time_to_handle_list_2 = time.perf_counter()
- # self.online_processing_memory, current_image = onlinexpcsutils.xpcs_view_into_processing(
- # self.online_processing_memory,
- # selected_module_key,
- # train_id)
- # print("time_to_handle_list 2", time.perf_counter() - time_to_handle_list_2)
+ # self.online_processing_memory, current_image = onlinexpcsutils.xpcs_view_into_processing(
+ # self.online_processing_memory,
+ # selected_module_key,
+ # train_id)
+ # print("time_to_handle_list 2", time.perf_counter() - time_to_handle_list_2)
# plot accumulating sum and lit pixel counter for panel data
- # time_to_handle_list_3 = time.perf_counter()
+ # time_to_handle_list_3 = time.perf_counter()
#plot_hash = Hash()
-# npArray_sum = onlinexpcsutils.get_accumulating_sum(self.xpcs_processing_memory, selected_module_key)
-# if npArray_sum is not None:
-# plot_hash['data.accumulating_sum'] = ImageData(npArray_sum)
-#
-# npArray_lit_pixel_counter = onlinexpcsutils.get_accumulating_lit_pixel_counter(self.xpcs_processing_memory, selected_module_key)
-# if npArray_lit_pixel_counter is not None:
-# plot_hash['data.accumulating_lit_bunch'] = ImageData(npArray_lit_pixel_counter)
+ # npArray_sum = onlinexpcsutils.get_accumulating_sum(self.xpcs_processing_memory, selected_module_key)
+ # if npArray_sum is not None:
+ # plot_hash['data.accumulating_sum'] = ImageData(npArray_sum)
+ #
+ # npArray_lit_pixel_counter = onlinexpcsutils.get_accumulating_lit_pixel_counter(self.xpcs_processing_memory, selected_module_key)
+ # if npArray_lit_pixel_counter is not None:
+ # plot_hash['data.accumulating_lit_bunch'] = ImageData(npArray_lit_pixel_counter)
#npArray_currentImage = onlinexpcsutils.get_current_Image(self.online_processing_memory, selected_module_key)
#if npArray_currentImage is not None:
@@ -417,29 +419,27 @@ class OnlineMIDProcessor(TrainMatcher.TrainMatcher):
- # if current_image is not None:
- # plot_hash['data.masking_plot'] = ImageData(current_image)
+ # if current_image is not None:
+ # plot_hash['data.masking_plot'] = ImageData(current_image)
- # print("time_to_handle_list 3", time.perf_counter() - time_to_handle_list_3)
+ # print("time_to_handle_list 3", time.perf_counter() - time_to_handle_list_3)
# send hash
- # time_to_handle_list_4 = time.perf_counter()
-
-# my_timestamp = Timestamp(Epochstamp(), Trainstamp(train_id))
-# myname = self.get('deviceId')
-# if self.assembled_output is not None:
-# self.assembled_output.write(
-# plot_hash, ChannelMetaData(f'{myname}:plots', my_timestamp), copyAllData=False
-# )
-# self.assembled_output.update(safeNDArray=True)
+ # time_to_handle_list_4 = time.perf_counter()
+ # my_timestamp = Timestamp(Epochstamp(), Trainstamp(train_id))
+ # myname = self.get('deviceId')
+ # if self.assembled_output is not None:
+ # self.assembled_output.write(
+ # plot_hash, ChannelMetaData(f'{myname}:plots', my_timestamp), copyAllData=False
+ # )
+ # self.assembled_output.update(safeNDArray=True)
- # print("time_to_handle_list _ 4", time.perf_counter() - time_to_handle_list_4)
-
- # time_to_handle_list_5 = time.perf_counter()
+ # print("time_to_handle_list _ 4", time.perf_counter() - time_to_handle_list_4)
+ # time_to_handle_list_5 = time.perf_counter()
output_hash = Hash()
'''
@@ -458,7 +458,7 @@ class OnlineMIDProcessor(TrainMatcher.TrainMatcher):
)
self.output.update(safeNDArray=True)
- # print("time_to_handle_list _5", time.perf_counter() - time_to_handle_list_5)
+ # print("time_to_handle_list _5", time.perf_counter() - time_to_handle_list_5)
'''
if runningstats_output_dict is not None:
if 'numBins' in runningstats_output_dict and 'numBunches' in runningstats_output_dict:
--
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