deleted old atomics

scripts/config-tuning/select_best_config.py

@@ -11,7 +11,6 @@
 from matplotlib import pyplot as plt
 import argparse
 from jinja2 import Environment, PackageLoader
-from sys import version_info
 
 env = Environment(
     loader=PackageLoader("select_best_config"),
@@ -53,12 +52,7 @@ def guess_gcn_architecture(path: str, raw_json_data: dict):
 
     # Extract the groups of the regex match to a DataFrame
 
-    # need at least python 3.11 to have possesive quantifier and atomic grouping
-    if version_info.major >= 3 and version_info.minor >= 11:
-        name_regex = r'^(?P<generator>\S+?)_(?P<distribution>uniform|normal|log_normal|poisson)_(?P<value_type>(?>unsigned_)?(?>int|short|char|long_long|float|half|double))_t(?P<block_size>\d+)_b(?P<grid_size>\d+)'
-    else:
-        name_regex = r'^(?P<generator>\S+?)_(?P<distribution>uniform|normal|log_normal|poisson)_(?P<value_type>(unsigned_)?(int|short|char|long_long|float|half|double))_t(?P<block_size>\d+)_b(?P<grid_size>\d+)'
-
+    name_regex = r'^(?P<generator>\S+?)_(?P<distribution>uniform|normal|log_normal|poisson)_(?P<value_type>(unsigned_)?(int|short|char|long_long|float|half|double))_t(?P<block_size>\d+)_b(?P<grid_size>\d+)'
 
     extracted_data = benchmark_data['name'].str.extract(name_regex)
     extracted_data['block_size'] = extracted_data['block_size'].astype(int)