hardcode arg_support_enabled = True

5 files changed, 4 insertions, 12 deletions

diff --git a/lib/functions.py b/lib/functions.py
index 4e0e8f7..7e4a999 100644
--- a/lib/functions.py
+++ b/lib/functions.py
@@ -12,7 +12,6 @@ import re
 from scipy import optimize
 from .utils import is_numeric
 
-arg_support_enabled = True
 logger = logging.getLogger(__name__)
 
 
@@ -761,7 +760,7 @@ class analytic:
             buf += " + regression_arg({:d})".format(arg_idx)
             arg_idx += 1
             for function_item in combination:
-                if arg_support_enabled and is_numeric(function_item[0]):
+                if is_numeric(function_item[0]):
                     buf += " * {}".format(
                         analytic._fmap(
                             "function_arg", function_item[0], function_item[1]["best"]
diff --git a/lib/loader/__init__.py b/lib/loader/__init__.py
index 8ffed03..f0e176d 100644
--- a/lib/loader/__init__.py
+++ b/lib/loader/__init__.py
@@ -24,8 +24,6 @@ from .mimosa import MIMOSA
 
 logger = logging.getLogger(__name__)
 
-arg_support_enabled = True
-
 
 def _preprocess_mimosa(measurement):
     setup = measurement["setup"]
@@ -169,7 +167,7 @@ class TimingData:
                                 paramvalues.append(
                                     soft_cast_int(log_entry["parameter"][paramkey])
                                 )
-                        if arg_support_enabled and "args" in log_entry:
+                        if "args" in log_entry:
                             paramvalues.extend(map(soft_cast_int, log_entry["args"]))
                         log_entry["offline_aggregates"]["param"].append(paramvalues)
 
diff --git a/lib/loader/energytrace.py b/lib/loader/energytrace.py
index b62432c..8fc2d0e 100644
--- a/lib/loader/energytrace.py
+++ b/lib/loader/energytrace.py
@@ -18,8 +18,6 @@ try:
 except ImportError:
     zbar_available = False
 
-arg_support_enabled = True
-
 
 def _load_energytrace(data_string):
     """
@@ -131,7 +129,7 @@ class EnergyTrace:
             # NB: Unscheduled transitions do not have an 'args' field set.
             # However, they should only be caused by interrupts, and
             # interrupts don't have args anyways.
-            if arg_support_enabled and "args" in online_trace_part:
+            if "args" in online_trace_part:
                 paramvalues.extend(map(soft_cast_int, online_trace_part["args"]))
 
             if "offline_aggregates" not in online_trace_part:
diff --git a/lib/loader/mimosa.py b/lib/loader/mimosa.py
index 2893e30..48feb66 100644
--- a/lib/loader/mimosa.py
+++ b/lib/loader/mimosa.py
@@ -10,8 +10,6 @@ from dfatool.utils import soft_cast_int
 
 logger = logging.getLogger(__name__)
 
-arg_support_enabled = True
-
 
 class MIMOSA:
     """
@@ -557,7 +555,7 @@ class MIMOSA:
             # NB: Unscheduled transitions do not have an 'args' field set.
             # However, they should only be caused by interrupts, and
             # interrupts don't have args anyways.
-            if arg_support_enabled and "args" in online_trace_part:
+            if "args" in online_trace_part:
                 paramvalues.extend(map(soft_cast_int, online_trace_part["args"]))
 
             # TODO rename offline_aggregates to make it clear that this is what ends up in by_name / by_param and model.py
diff --git a/lib/utils.py b/lib/utils.py
index d3334c9..e39b329 100644
--- a/lib/utils.py
+++ b/lib/utils.py
@@ -6,7 +6,6 @@ import re
 import logging
 from sklearn.metrics import r2_score
 
-arg_support_enabled = True
 logger = logging.getLogger(__name__)