sim count fix

src/scgenerator/initialize.py

@@ -7,6 +7,7 @@ from collections import defaultdict
 
 import numpy as np
 from numpy import pi
+from numpy.core.fromnumeric import var
 
 from . import io, utils
 from .defaults import default_parameters
@@ -14,7 +15,7 @@ from .errors import *
 from .logger import get_logger
 from .math import abs2, power_fact
 from .physics import fiber, pulse, units
-from .utils import count_variations, override_config, required_simulations
+from .utils import count_variations, override_config, required_simulations, variable_iterator
 from .utils.parameter import BareConfig, BareParams, hc_model_specific_parameters
 
 
@@ -491,7 +492,7 @@ class RecoveryParamSequence(ParamSequence):
         return path_dic[max_in_common]
 
 
-def validate_config_sequence(*configs: os.PathLike) -> Config:
+def validate_config_sequence(*configs: os.PathLike) -> Tuple[Config, int]:
     """validates a sequence of configs where all but the first one may have
     parameters missing
 
@@ -506,12 +507,14 @@ def validate_config_sequence(*configs: os.PathLike) -> Config:
         the final config as would be simulated, but of course missing input fields in the middle
     """
     previous = None
+    variables = set()
     for config in configs:
         if (p := Path(config)).is_dir():
             config = p / "initial_config.toml"
         dico = io.load_toml(config)
         previous = Config.from_bare(override_config(dico, previous))
-    return previous
+        variables |= {(k, tuple(v)) for k, v in previous.variable.items()}
+    return previous, np.product([len(v) for k, v in variables])
 
 
 def wspace(t, t_num=0):

src/scgenerator/scripts/slurm_submit.py

@@ -124,7 +124,7 @@ def main():
     config_paths = args.configs
     final_config = validate_config_sequence(*config_paths)
 
-    sim_num, _ = count_variations(final_config)
+    sim_num = count_variations(final_config)
 
     args.nodes, args.cpus_per_node = distribute(sim_num, args.nodes, args.cpus_per_node)
 

src/scgenerator/utils/__init__.py

@@ -176,7 +176,7 @@ def progress_worker(
             pbars[0].update()
 
 
-def count_variations(config: BareConfig) -> Tuple[int, int]:
+def count_variations(config: BareConfig) -> int:
     """returns (sim_num, variable_params_num) where sim_num is the total number of simulations required and
     variable_params_num is the number of distinct parameters that will vary."""
     sim_num = np.prod([len(l) for l in config.variable.values()]) * config.repeat