import logging # Add "tol" directory to Python path sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/../') from tol.config import parser from tol.manage import World from tol.logging import logger, output_console # Log output to console output_console() logger.setLevel(logging.DEBUG) # Add offline evolve arguments parser.add_argument('--population-size', default=10, type=int, help="Population size in each generation.") parser.add_argument('--num-children', default=10, type=int, help="The number of children produced in each generation.") parser.add_argument( '--keep-parents', default=True, type=lambda v: v.lower() == "true" or v == "1", help= "Whether or not to discard the parents after each generation. This determines the strategy, + or ,." )
import os import sys sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')) from revolve.convert import yaml_to_robot, robot_to_yaml from revolve.spec.exception import err from tol.spec import get_body_spec, get_extended_brain_spec from tol.config import parser parser.add_argument('file_name', metavar='FILENAME', type=str, help='path to input YAML file') parser.add_argument('-o', '--output', type=str, default='output.yaml', help='name of the output file') parser.add_argument('--type', type=str, default='Simple', help="type of the neurons in the cpg") parser.add_argument( '--loopback', action='store_true', help='If this flag is set, output signals are looped back to CPGs') parser.add_argument(
from revolve.util import wait_for from tol.manage.robot import Robot from tol.config import parser from tol.manage import World from tol.logging import logger, output_console from tol.util.analyze import list_extremities, count_joints, count_motors, count_extremities, count_connections # Log output to console #output_console() logger.setLevel(logging.INFO) # Add offline evolve arguments parser.add_argument('--population-size', default=10, type=int, help="Population size in each generation.") parser.add_argument('--num-children', default=10, type=int, help="The number of children produced in each generation.") def str2bool(v): return v.lower() == "true" or v == "1" def printnow(s): print(s) sys.stdout.flush()
# from sdfbuilder import Pose, Model, Link, SDF # ToL from tol.config import parser # from tol.manage import World from tol.logging import logger, output_console # from revolve.util import multi_future from tol.triangle_of_life import Food_Grid, RobotAccount, EvolutionManager # Log output to console output_console() logger.setLevel(logging.DEBUG) parser.add_argument("-n", "--num-initial-bots", default=3, help="Number of initial bots", type=int) # parser.add_argument("-f", "--fast", help="Short reproduction wait.", # action="store_true") parser.add_argument( '--robot-file', type=str, help="path to file containing robot morphology description in YAML format") parser.add_argument( '--brain-genotype-file', type=str, default=None,
import os import sys sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')) from revolve.convert import yaml_to_robot, robot_to_yaml from tol.spec import get_body_spec, get_brain_spec from tol.config import parser parser.add_argument('file_name', metavar='FILENAME', type=str, help='path to input YAML file') parser.add_argument('-o', '--output', type=str, default='output.yaml', help='name of the output file') def main(): conf = parser.parse_args() in_path = conf.file_name out_path = os.path.join(os.path.dirname(in_path), conf.output) with open(in_path, 'r') as yamlfile: yaml_bot = yamlfile.read() body_spec = get_body_spec(conf)
# Add "tol" directory to Python path sys.path.append(os.path.dirname(os.path.abspath(__file__))+'/../') from tol.config import parser from tol.manage import World from tol.logging import logger, output_console # Log output to console output_console() logger.setLevel(logging.DEBUG) # Add offline evolve arguments parser.add_argument( '--population-size', default=10, type=int, help="Population size in each generation." ) parser.add_argument( '--num-children', default=10, type=int, help="The number of children produced in each generation." ) parser.add_argument( '--keep-parents', default=True, type=lambda v: v.lower() == "true" or v == "1", help="Whether or not to discard the parents after each generation. This determines the strategy, + or ,." )
# Revolve / sdfbuilder from sdfbuilder.math import Vector3 from sdfbuilder import Pose, Model, Link, SDF # ToL from tol.config import parser from tol.manage import World from tol.logging import logger, output_console from revolve.util import multi_future # Log output to console output_console() logger.setLevel(logging.DEBUG) parser.add_argument("-s", "--seed", default=-1, help="Supply a random seed", type=int) parser.add_argument("-n", "--num-initial-bots", default=3, help="Number of initial bots", type=int) parser.add_argument("-f", "--fast", help="Short reproduction wait.", action="store_true") parent_color = (1, 0, 0, 0.5) child_color = (0, 1, 0, 0.5) insert_z = 1.5 @trollius.coroutine def sleep_sim_time(world, seconds, state_break=[False]):
import sys import os sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../") from tol.config import parser from tol.spec import get_brain_spec from tol.triangle_of_life.encoding import GeneticEncoding from tol.triangle_of_life.convert import NeuralNetworkParser, yaml_to_genotype parser.add_argument('--genotype-file-1', type=str, help="path to YAML file containing brain genotype") parser.add_argument('--genotype-file-2', type=str, default=None, help="path to YAML file containing brain genotype") def main(): conf = parser.parse_args() brain_spec = get_brain_spec(conf) print "READING FILES!!!!!!!!!!!!!!!!!!!" with open(conf.genotype_file_1, 'r') as gen_file1: gen_yaml1 = gen_file1.read() with open(conf.genotype_file_2, 'r') as gen_file2: gen_yaml2 = gen_file2.read()
# ToL imports may require the system path sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..')) from tol.manage.robot import Robot from tol.config import parser from tol.manage import World from tol.logging import logger, output_console # Output to console and enable debug logging output_console() logger.setLevel(logging.DEBUG) # Environment parameters parser.add_argument( '--world-diameter', default=50, type=float, help="The diameter of the environment in meters." ) parser.add_argument( '--num-wall-segments', default=12, type=int, help="The number of segments the arena wall will consist off." ) parser.add_argument( '--birth-clinic-diameter', default=4.0, type=float, help="The diameter of the birth clinic in meters." )
# ToL imports may require the system path sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..')) from tol.manage.robot import Robot from tol.config import parser from tol.manage import World from tol.logging import logger, output_console # Output to console and enable debug logging output_console() logger.setLevel(logging.DEBUG) # Environment parameters parser.add_argument( '--world-diameter', default=50, type=float, help="The diameter of the environment in meters." ) parser.add_argument( '--num-wall-segments', default=12, type=int, help="The number of segments the arena wall will consist off." ) parser.add_argument( '--birth-clinic-diameter', default=3.0, type=float, help="The diameter of the birth clinic in meters." )
import trollius from trollius import From, Return from revolve.util import multi_future, wait_for, Time from tol.config import parser from tol.manage import World from tol.logging import logger, output_console # Output to console and enable debug logging output_console() logger.setLevel(logging.DEBUG) # Environment parameters parser.add_argument( '--world-diameter', default=50, type=float, help="The diameter of the environment in meters." ) parser.add_argument( '--num-wall-segments', default=12, type=int, help="The number of segments the arena wall will consist off." ) parser.add_argument( '--birth-clinic-diameter', default=2.5, type=float, help="The diameter of the birth clinic in meters." )
from tol.config import parser from tol.logging import logger, output_console from tol.spec import (get_body_spec, get_brain_spec, get_extended_brain_spec, get_extended_mutation_spec) from neat import Mutator # Log output to console output_console() # # set logging level logger.setLevel(logging.DEBUG) # logger.setLevel(logging.INFO) parser.add_argument("--log-directory", type=str, default="log", help="directory where experiment logs are stored") parser.add_argument('--population-size', default=10, type=int, help="number of individuals in brain population") parser.add_argument('--tournament-size', default=6, type=int, help="number of individuals in the tournaments") parser.add_argument( '--num-children', default=5,
from revolve.util import wait_for from tol.manage.robot import Robot from tol.config import parser from tol.manage import World from tol.logging import logger, output_console from tol.util.analyze import list_extremities, count_joints, count_motors, count_extremities, count_connections # Log output to console output_console() logger.setLevel(logging.DEBUG) # Add offline evolve arguments parser.add_argument( '--population-size', default=10, type=int, help="Population size in each generation." ) parser.add_argument( '--num-children', default=10, type=int, help="The number of children produced in each generation." ) def str2bool(v): return v.lower() == "true" or v == "1" parser.add_argument( '--keep-parents',
import shutil import trollius from trollius import From, Return from revolve.util import multi_future, wait_for, Time from tol.config import parser from tol.manage import World from tol.logging import logger, output_console # Output to console and enable debug logging output_console() logger.setLevel(logging.DEBUG) # Environment parameters parser.add_argument('--world-diameter', default=50, type=float, help="The diameter of the environment in meters.") parser.add_argument( '--num-wall-segments', default=12, type=int, help="The number of segments the arena wall will consist off.") parser.add_argument('--birth-clinic-diameter', default=2.5, type=float, help="The diameter of the birth clinic in meters.") # General population parameters parser.add_argument('--initial-population-size',