Removing debugging info

Author: achiefa

n3fit/runcards/examples/Basic_runcard_pc_covmat.yml

@@ -45,8 +45,7 @@ theorycovmatconfig:
     H2j_ystar:  {yshift: [2.0, 2.0, 2.0, 2.0, 2.0, 2.0], nodes: [0.25, 0.75, 1.25, 1.75, 2.25, 2.75]}
     H2j_yb:   {yshift: [2.0, 2.0, 2.0, 2.0, 2.0], nodes: [0.25, 0.75, 1.25, 1.75, 2.25]}
   pc_included_procs: ["DIJET"]
-  pc_excluded_exps: [HERA_NC_318GEV_EAVG_CHARM-SIGMARED,
-                     HERA_NC_318GEV_EAVG_BOTTOM-SIGMARED,]
+  pc_excluded_exps: []
   pdf: 260202-jk-nnpdf41-mhou
   use_thcovmat_in_fitting: true
   use_thcovmat_in_sampling: true

validphys2/src/validphys/theorycovariance/higher_twist_functions.py

@@ -22,7 +22,6 @@
 """
 
 from collections import defaultdict
-import logging
 import operator
 from typing import Optional, Tuple, Union
 
@@ -32,8 +31,6 @@
 from validphys.convolution import central_fk_predictions
 from validphys.core import PDF, DataSetSpec
 
-log = logging.getLogger(__name__)
-
 # ---------------------------------------------------------------------------
 # Dataset name constants
 # ---------------------------------------------------------------------------
@@ -485,7 +482,6 @@ def mult_dijet_pc(
 
     def func(ystar_shifts, y_b_shifts):
         if distrb == '3D':
-            log.info(f" Using dijet3D_pc_func.")
             if len(ystar) == 0 or len(yb) == 0:
                 raise ValueError("For 3D distributions, ystar and yb must be provided.")
             result = dijet3D_pc_func(
@@ -498,7 +494,6 @@ def func(ystar_shifts, y_b_shifts):
                 m_jj=m_jj,
             )
         elif distrb == "ystar":
-            log.info(f" Using dijet_ystar_pc_func.")
             if len(ystar) == 0:
                 raise ValueError("For ystar distributions, ystar must be provided.")
             result = dijet_ystar_pc_func(
@@ -510,7 +505,6 @@ def func(ystar_shifts, y_b_shifts):
                 ystar=ystar,
             )
         elif distrb == "ydiff":
-            log.info(f" Using dijet_ymax_pc_func.")
             if len(ymax) == 0:
                 raise ValueError("For ymax distributions, ymax must be provided.")
             result = dijet_ymax_pc_func(