diff --git a/wally/process_results.py b/wally/process_results.py
index 112826e..b2ed783 100644
--- a/wally/process_results.py
+++ b/wally/process_results.py
@@ -1,53 +1,52 @@
 # put all result preprocessing here
-# selection, aggregation
-
-from io import BytesIO
-import logging
-from typing import Any
-
-from .stage import Stage, StepOrder
-from .test_run_class import TestRun
-from .statistic import calc_norm_stat_props, calc_histo_stat_props
-from .result_classes import StatProps, DataSource, TimeSeries
-from .hlstorage import ResultStorage
-from .suits.io.fio_hist import get_lat_vals, expected_lat_bins
-from .suits.io.fio import FioTest
-from .utils import StopTestError
-
-import matplotlib
-matplotlib.use('svg')
-import matplotlib.pyplot as plt
-
-
-logger = logging.getLogger("wally")
-
-
-class CalcStatisticStage(Stage):
-    priority = StepOrder.TEST + 1
-
-    def run(self, ctx: TestRun) -> None:
-        rstorage = ResultStorage(ctx.storage)
-
-        for suite in rstorage.iter_suite(FioTest.name):
-            for job in rstorage.iter_job(suite):
-                results = {}
-                for ts in rstorage.iter_ts(suite, job):
-                    if ts.source.sensor == 'lat':
-                        if ts.second_axis_size != expected_lat_bins:
-                            logger.error("Sensor %s.%s on node %s has" +
-                                         "second_axis_size=%s. Can only process sensors with second_axis_size=%s.",
-                                         ts.source.dev, ts.source.sensor, ts.source.node_id,
-                                         ts.second_axis_size, expected_lat_bins)
-                            continue
-                        ts.bins_edges = get_lat_vals(ts.second_axis_size)
-                        stat_prop = calc_histo_stat_props(ts)  # type: StatProps
-
-                    elif ts.second_axis_size != 1:
-                        logger.warning("Sensor %s.%s on node %s provide 2D data with " +
-                                       "ts.second_axis_size=%s. Can't process it.",
-                                       ts.source.dev, ts.source.sensor, ts.source.node_id, ts.second_axis_size)
-                        continue
-                    else:
-                        stat_prop = calc_norm_stat_props(ts)
-
-        raise StopTestError()
+# # selection, aggregation
+#
+# from io import BytesIO
+# import logging
+# from typing import Any
+#
+# from .stage import Stage, StepOrder
+# from .test_run_class import TestRun
+# from .statistic import calc_norm_stat_props, calc_histo_stat_props
+# from .result_classes import StatProps, DataSource, TimeSeries
+# from .hlstorage import ResultStorage
+# from .suits.io.fio_hist import get_lat_vals, expected_lat_bins
+# from .suits.io.fio import FioTest
+# from .utils import StopTestError
+#
+# import matplotlib
+# matplotlib.use('svg')
+# import matplotlib.pyplot as plt
+#
+#
+# logger = logging.getLogger("wally")
+#
+#
+# class CalcStatisticStage(Stage):
+#     priority = StepOrder.TEST + 1
+#
+#     def run(self, ctx: TestRun) -> None:
+#         rstorage = ResultStorage(ctx.storage)
+#
+#         for suite in rstorage.iter_suite(FioTest.name):
+#             for job in rstorage.iter_job(suite):
+#                 for ts in rstorage.iter_ts(suite, job):
+#                     if ts.source.sensor == 'lat':
+#                         if ts.data.shape[1] != expected_lat_bins:
+#                             logger.error("Sensor %s.%s on node %s has" +
+#                                          "shape=%s. Can only process sensors with shape=[X,%s].",
+#                                          ts.source.dev, ts.source.sensor, ts.source.node_id,
+#                                          ts.data.shape, expected_lat_bins)
+#                             continue
+#
+#                         ts.bins_edges = get_lat_vals(ts.data.shape[1])
+#                         stat_prop = calc_histo_stat_props(ts)  # type: StatProps
+#
+#                     elif len(ts.data.shape) != 1:
+#                         logger.warning("Sensor %s.%s on node %s provide 2+D data. Can't process it.",
+#                                        ts.source.dev, ts.source.sensor, ts.source.node_id)
+#                         continue
+#                     else:
+#                         stat_prop = calc_norm_stat_props(ts)
+#
+#         raise StopTestError()