fixed default

Author: albanpuech

gridfm_datakit/network.py

@@ -6,6 +6,7 @@
 """
 
 import os
+import shutil
 import requests
 from importlib import resources
 import pandas as pd
@@ -96,8 +97,8 @@ def correct_network(network_path: str, force: bool = False) -> str:
         if not os.path.exists(tmp_path) or os.path.getsize(tmp_path) == 0:
             raise RuntimeError("Julia produced empty MATPOWER file")
 
-        # Atomically replace target file
-        os.replace(tmp_path, corrected_path)
+        # Atomically replace target file (use shutil.move to allow cross-device)
+        shutil.move(tmp_path, corrected_path)
         return corrected_path
 
     finally:

scripts/config/default.yaml

@@ -7,7 +7,7 @@ network:
 load:
   generator: "agg_load_profile" # Name of the load generator; options: agg_load_profile, powergraph
   agg_profile: "default" # Name of the aggregated load profile
-  scenarios: 100 # Number of different load scenarios to generate
+  scenarios: 10000 # Number of different load scenarios to generate
   # WARNING: the following parameters are only used if generator is "agg_load_profile"
   # if using generator "powergraph", these parameters are ignored
   sigma: 0.2 # max local noise
@@ -36,7 +36,7 @@ admittance_perturbation:
 
 settings:
   num_processes: 16 # Number of parallel processes to use
-  data_dir: "./data_out_seed_none2" # Directory to save generated data relative to the project root
+  data_dir: "./data_out" # Directory to save generated data relative to the project root
   large_chunk_size: 1000 # Number of load scenarios processed before saving
   overwrite: true # If true, overwrites existing files, if false, appends to files
   mode: "pf" # Mode of the script; options: pf, opf. pf: power flow data where one or more operating limits – the inequality constraints defined in OPF, e.g., voltage magnitude or branch limits – may be violated. opf:  generates datapoints for training OPF solvers, with cost-optimal dispatches that satisfy all operating limits (OPF-feasible)