Delete config-Copy1.py

src/config-Copy1.py

-from components.genetic_operators import Mutation_operator, Single_point_crossover_operator, Removal_operator
-from components.evolutionary_phase import Simple_evolutionary_phase
-from components.experiment import Function_optimisation_experiment
-
-
-# -----------------------------
-# Genetic operator definition
-# -----------------------------
-# Genetic operators can be used for:
-# Populations
-# Genetic Phases
-
-OP_MUTATION = Mutation_operator(0.06)
-OP_REMOVAL = Removal_operator(6)
-OP_CROSSOVER = Single_point_crossover_operator(6)
-
-
-# -----------------------------
-# Phase definition
-# -----------------------------
-# Genetic phases allowing for evolution of individuals in
-# changing environments or conditions.
-
-# phase 0
-# phase starting operators (applied at phase start)
-PHASE0_SOP = [OP_MUTATION, OP_MUTATION]
-
-# phase Experiment (conducted on individuals)
-PHASE0_EXPERIMENT = Function_optimisation_experiment()
-
-# phase definition
-PHASE0 = Simple_evolutionary_phase(
-    'Phase_0', PHASE0_SOP, PHASE0_EXPERIMENT)
-
-# phase 1
-
-
-# -----------------------------
-# GA Configuration parameters
-# -----------------------------
-# These are all general parameters for the Algorithm
-# in form of a dictionary
-CONFIG = {
-    # -------------
-    # Processes
-    # --------------
-    # use mpi parallelization
-    # If use_mpi4py_futures=False start with:
-    # mpiexec -n 3 python PyGMA.py
-    # or use threads if not specified via slurm
-    # mpiexec -n 3 --use-hwthread-cpus python PyGMA.py
-    'use_mpi': False,
-    
-    # use mpi4py.futures
-    # this will dynamically spawn workers.
-    # NOTE: you have to execute the programm in this manner:
-    # mpiexec -n 3 python -m mpi4py.futures PyGMA.py
-    'use_mpi4py_futures': False,
-
-    # if mpi=False, how many local processes to use
-    # Note if > 1 it will spawn additonal processes that independently
-    # solves the experiment. Spawning takes time (memcopys etc)
-    # if the experiment is very simple having only one process
-    # handling everyting might be faster.
-    # start programm with:
-    # python PyGMA.py
-    'num_local_processes': 1,
-
-
-    # -------------
-    # Populations
-    # --------------
-    # how many island populations to use
-    # is defined by the genetic operators stack lenght
-    # used to recombine/produce, mutate, extend...
-    'genetic_operator_stack': [
-        # pop 0
-        [OP_REMOVAL, OP_CROSSOVER],
-        # pop 1
-        [OP_REMOVAL, OP_CROSSOVER, OP_MUTATION],
-        # pop 2
-        [OP_REMOVAL, OP_REMOVAL, OP_REMOVAL, OP_MUTATION, OP_CROSSOVER, OP_CROSSOVER, OP_CROSSOVER]
-    ],
-
-    # how many island populations to use
-    # 'num_populations': 3,
-
-    # how many individuals per population
-    'num_individuals': 30,
-
-    # genome lenght for each individual
-    'genome_length': 60,
-
-    # init populations from defined gene strings
-    # this will ovveride:
-    # num_populations, num_individuals, genome_length
-    'use_predefined_defined_genes': False,
-    'predefined_genes': [
-        # pop 0
-        [[0, 0, 1], [0, 1, 1]],
-        # pop 1
-        [[0, 1, 1], [1, 1, 1]]
-    ],
-
-    # -------------
-    # Evolutinary Phases
-    # --------------
-    # defining the phases that will be sequantially evolved
-    'evolutionary_phases': [
-        PHASE0, PHASE0
-    ]
-
-}
-# -----------------------------
-# check configured parameters
-# -----------------------------
-
-
-def check_config():
-    # IMP
-    # will check if all parameters are available and within
-    # reasonable range
-    # really do this?
-    # only for most critical parts that have to fit.
-
-    # check if genetic operators are enough in every phase
-    if CONFIG['use_predefined_defined_genes'] and len(CONFIG['genetic_operator_stack']) != len(CONFIG['predefined_genes']):
-        print(
-            f"Warning: having an genetic operator stack for only {len(CONFIG['genetic_operator_stack'])} but there are genes defined for {len(CONFIG['predefined_genes'])}. Will not use all genes, only those having an operator stack.")
-
-    return
-
-    return