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',
