repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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eco-dqn | eco-dqn-master/src/agents/solver.py | from abc import ABC, abstractmethod
import numpy as np
import torch
class SpinSolver(ABC):
"""Abstract base class for agents solving SpinSystem Ising problems."""
def __init__(self, env, record_cut=False, record_rewards=False, record_qs=False, verbose=False):
"""Base initialisation of a SpinSolver.
... | 6,973 | 31.138249 | 100 | py |
eco-dqn | eco-dqn-master/src/agents/dqn/utils.py | import math
import pickle
import random
import threading
from collections import namedtuple
from enum import Enum
import numpy as np
import torch
Transition = namedtuple(
'Transition', ('state', 'action', 'reward', 'state_next', 'done')
)
class TestMetric(Enum):
CUMULATIVE_REWARD = 1
BEST_ENERGY = 2
... | 10,733 | 33.850649 | 125 | py |
eco-dqn | eco-dqn-master/src/agents/dqn/dqn.py | """
Implements a DQN learning agent.
"""
import os
import pickle
import random
import time
from copy import deepcopy
import numpy as np
import torch
import torch.nn.functional as F
import torch.optim as optim
from src.agents.dqn.utils import ReplayBuffer, Logger, TestMetric, set_global_seed
from src.envs.utils impor... | 22,538 | 37.396934 | 132 | py |
eco-dqn | eco-dqn-master/src/agents/dqn/__init__.py | 0 | 0 | 0 | py | |
eco-dqn | eco-dqn-master/experiments/utils.py | import os
import pickle
import networkx as nx
import time
import numpy as np
import scipy as sp
import pandas as pd
import torch
from collections import namedtuple
from copy import deepcopy
import src.envs.core as ising_env
from src.envs.utils import (SingleGraphGenerator, SpinBasis)
from src.agents.solver import Net... | 16,669 | 36.209821 | 141 | py |
eco-dqn | eco-dqn-master/experiments/BA_60spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 60 spin BA graphs.
"""
import experiments.BA_60spin.train.train_eco as train
import experiments.BA_60spin.test.test_eco as test
save_loc="BA_60spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_60spin_m4_100graphs.pkl", batched=True, max_batch_size=... | 678 | 44.266667 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_60spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 20 spin BA graphs.
"""
import experiments.BA_60spin.test.test_s2v as test
import experiments.BA_60spin.train.train_s2v as train
save_loc="BA_60spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_60spin_m4_100graphs.pkl", batched=True, max_batch_size=... | 677 | 47.428571 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_60spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,506 | 35.942623 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_60spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,485 | 35.770492 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_60spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,850 | 30.283105 | 133 | py |
eco-dqn | eco-dqn-master/experiments/BA_60spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,820 | 30.288991 | 133 | py |
eco-dqn | eco-dqn-master/experiments/ER_20spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 20 spin ER graphs.
"""
import experiments.ER_20spin.test.test_eco as test
import experiments.ER_20spin.train.train_eco as train
save_loc="ER_20spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_20spin_p15_100graphs.pkl", batched=True, max_batch_size... | 923 | 45.2 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_20spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 20 spin ER graphs.
"""
import experiments.ER_20spin.test.test_s2v as test
import experiments.ER_20spin.train.train_s2v as train
save_loc="ER_20spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_20spin_p15_100graphs.pkl", batched=True, max_batch_size... | 919 | 56.5 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_20spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,507 | 35.95082 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_20spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,486 | 35.778689 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_20spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,794 | 30.313364 | 127 | py |
eco-dqn | eco-dqn-master/experiments/ER_20spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,811 | 30.247706 | 127 | py |
eco-dqn | eco-dqn-master/experiments/pretrained_agent/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set, mk_dir
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis... | 4,430 | 36.550847 | 108 | py |
eco-dqn | eco-dqn-master/experiments/pretrained_agent/test_s2v.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Tests an agent.
"""
import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set, mk_dir
from src.envs.utils import (SingleGraphGenerator,
RewardSignal... | 4,395 | 35.330579 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_40spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 40 spin BA graphs.
"""
import experiments.BA_40spin.test.test_eco as test
import experiments.BA_40spin.train.train_eco as train
save_loc="BA_40spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_40spin_m4_100graphs.pkl", batched=True, max_batch_size=... | 796 | 48.8125 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_40spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 20 spin BA graphs.
"""
import experiments.BA_40spin.test.test_s2v as test
import experiments.BA_40spin.train.train_s2v as train
save_loc="BA_40spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_40spin_m4_100graphs.pkl", batched=True, max_batch_size=... | 795 | 52.066667 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_40spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,506 | 35.942623 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_40spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,485 | 35.770492 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_40spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,849 | 30.422018 | 133 | py |
eco-dqn | eco-dqn-master/experiments/BA_40spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,820 | 30.288991 | 133 | py |
eco-dqn | eco-dqn-master/experiments/BA_100spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 100 spin BA graphs.
"""
import experiments.BA_100spin.test.test_eco as test
import experiments.BA_100spin.train.train_eco as train
save_loc="BA_100spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_100spin_m4_100graphs.pkl", batched=True, max_batch_... | 566 | 34.4375 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_100spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 20 spin BA graphs.
"""
import experiments.BA_100spin.test.test_s2v as test
import experiments.BA_100spin.train.train_s2v as train
save_loc="BA_100spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_100spin_m4_100graphs.pkl", batched=True, max_batch_s... | 562 | 42.307692 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_100spin/test/test_eco.py | """
Tests an agent.
"""
import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
Optimisatio... | 4,535 | 34.716535 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_100spin/test/test_s2v.py | """
Tests an agent.
"""
import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
Optimisatio... | 4,512 | 34.81746 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_100spin/train/train_s2v.py | """
Trains an agent using a message passing neural network
"""
import os
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.envs.utils import (SetGraphGenerator,
RandomBarabasiAlbertGraphGenerator,
EdgeType, Reward... | 6,913 | 29.324561 | 133 | py |
eco-dqn | eco-dqn-master/experiments/BA_100spin/train/train_eco.py | """
Trains an agent using a message passing neural network
"""
import os
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.envs.utils import (SetGraphGenerator,
RandomBarabasiAlbertGraphGenerator,
EdgeType, Reward... | 6,908 | 29.302632 | 133 | py |
eco-dqn | eco-dqn-master/experiments/ER_40spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 40 spin ER graphs.
"""
import experiments.ER_40spin.test.test_eco as test
import experiments.ER_40spin.train.train_eco as train
save_loc="ER_40spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_40spin_p15_100graphs.pkl", batched=True, max_batch_size... | 802 | 46.235294 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_40spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 40 spin ER graphs.
"""
import experiments.ER_40spin.test.test_s2v as test
import experiments.ER_40spin.train.train_s2v as train
save_loc="ER_40spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_40spin_p15_100graphs.pkl", batched=True, max_batch_size... | 800 | 52.4 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_40spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,610 | 35.595238 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_40spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,588 | 35.420635 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_40spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,809 | 30.09589 | 127 | py |
eco-dqn | eco-dqn-master/experiments/ER_40spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,815 | 30.266055 | 127 | py |
eco-dqn | eco-dqn-master/experiments/BA_200spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 200 spin BA graphs.
"""
import experiments.BA_200spin.test.test_eco as test
import experiments.BA_200spin.train.train_eco as train
save_loc="BA_200spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_200spin_m4_100graphs.pkl", batched=True, max_batch_... | 447 | 28.866667 | 116 | py |
eco-dqn | eco-dqn-master/experiments/BA_200spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 20 spin BA graphs.
"""
import experiments.BA_200spin.test.test_s2v as test
import experiments.BA_200spin.train.train_s2v as train
save_loc="BA_200spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_200spin_m4_100graphs.pkl", batched=True, max_batch_s... | 443 | 36 | 116 | py |
eco-dqn | eco-dqn-master/experiments/BA_200spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,509 | 35.967213 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_200spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,486 | 36.082645 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_200spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,824 | 30.164384 | 133 | py |
eco-dqn | eco-dqn-master/experiments/BA_200spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,968 | 30.391892 | 133 | py |
eco-dqn | eco-dqn-master/experiments/ER_200spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 200 spin ER graphs.
"""
import experiments.ER_200spin.test.test_eco as test
import experiments.ER_200spin.train.train_eco as train
save_loc="ER_200spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_200spin_p15_100graphs.pkl", batched=True, max_batch... | 449 | 29 | 117 | py |
eco-dqn | eco-dqn-master/experiments/ER_200spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 200 spin ER graphs.
"""
import experiments.ER_200spin.test.test_s2v as test
import experiments.ER_200spin.train.train_s2v as train
save_loc="ER_200spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_200spin_p15_100graphs.pkl", batched=True, max_batch... | 446 | 36.25 | 117 | py |
eco-dqn | eco-dqn-master/experiments/ER_200spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,510 | 35.97541 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_200spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,487 | 36.090909 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_200spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,815 | 30.123288 | 127 | py |
eco-dqn | eco-dqn-master/experiments/ER_200spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,819 | 30.141553 | 127 | py |
eco-dqn | eco-dqn-master/experiments/ER_100spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 100 spin ER graphs.
"""
import experiments.ER_100spin.test.test_eco as test
import experiments.ER_100spin.train.train_eco as train
save_loc="ER_100spin/mpnn"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_100spin_p15_100graphs.pkl", batched=True, max_batc... | 570 | 34.6875 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_100spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 100 spin ER graphs.
"""
import experiments.ER_100spin.test.test_s2v as test
import experiments.ER_100spin.train.train_s2v as train
save_loc="ER_100spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_100spin_p15_100graphs.pkl", batched=True, max_batch... | 566 | 42.615385 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_100spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,510 | 35.97541 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_100spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,487 | 36.090909 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_100spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,814 | 30.118721 | 127 | py |
eco-dqn | eco-dqn-master/experiments/ER_100spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,818 | 30.136986 | 127 | py |
eco-dqn | eco-dqn-master/experiments/ER_60spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 60 spin ER graphs.
"""
import experiments.ER_60spin.train.train_eco as train
import experiments.ER_60spin.test.test_eco as test
save_loc="ER_60spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_60spin_p15_100graphs.pkl", batched=True, max_batch_size... | 684 | 39.294118 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_60spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 60 spin ER graphs.
"""
import experiments.ER_60spin.test.test_s2v as test
import experiments.ER_60spin.train.train_s2v as train
save_loc="ER_60spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/ER_60spin_p15_100graphs.pkl", batched=True, max_batch_size... | 681 | 47.714286 | 119 | py |
eco-dqn | eco-dqn-master/experiments/ER_60spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,507 | 35.95082 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_60spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,485 | 36.07438 | 108 | py |
eco-dqn | eco-dqn-master/experiments/ER_60spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,809 | 30.09589 | 127 | py |
eco-dqn | eco-dqn-master/experiments/ER_60spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,827 | 29.895928 | 127 | py |
eco-dqn | eco-dqn-master/experiments/BA_20spin/train_and_test_eco.py | """
Trains and tests ECO-DQN on 20 spin BA graphs.
"""
import experiments.BA_20spin.test.test_eco as test
import experiments.BA_20spin.train.train_eco as train
save_loc="BA_20spin/eco"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_20spin_m4_100graphs.pkl", batched=True, max_batch_size=... | 914 | 52.823529 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_20spin/train_and_test_s2v.py | """
Trains and tests S2V-DQN on 20 spin BA graphs.
"""
import experiments.BA_20spin.test.test_s2v as test
import experiments.BA_20spin.train.train_s2v as train
save_loc="BA_20spin/s2v"
train.run(save_loc)
test.run(save_loc, graph_save_loc="_graphs/validation/BA_20spin_m4_100graphs.pkl", batched=True, max_batch_size=... | 913 | 56.125 | 118 | py |
eco-dqn | eco-dqn-master/experiments/BA_20spin/test/test_eco.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,506 | 35.942623 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_20spin/test/test_s2v.py | import os
import matplotlib.pyplot as plt
import torch
import src.envs.core as ising_env
from experiments.utils import test_network, load_graph_set
from src.envs.utils import (SingleGraphGenerator,
RewardSignal, ExtraAction,
OptimisationTarget, SpinBasis,
... | 4,485 | 35.770492 | 108 | py |
eco-dqn | eco-dqn-master/experiments/BA_20spin/train/train_s2v.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,850 | 30.283105 | 133 | py |
eco-dqn | eco-dqn-master/experiments/BA_20spin/train/train_eco.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import src.envs.core as ising_env
from experiments.utils import load_graph_set, mk_dir
from src.agents.dqn.dqn import DQN
from src.agents.dqn.utils import TestMetric
from src.envs.utils import (SetGraphGenerator,
Ra... | 6,820 | 30.288991 | 133 | py |
USLN | USLN-master/test.py | from PIL import Image
import os
import numpy as np
import torch
from model import USLN
from SegDataset import read_file_list
from tqdm import trange
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model = USLN()
model.load_state_dict(torch.load(r'logs/UFO.pth'))
model.eval()
model = model... | 961 | 21.904762 | 69 | py |
USLN | USLN-master/loss.py | import torch
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
from math import exp
import torch.nn as nn
from torchvision import models
class VGG_loss(nn.Module):
def __init__(self, model):
super(VGG_loss, self).__init__()
self.features = nn.Sequential(*list(mo... | 3,620 | 33.485714 | 114 | py |
USLN | USLN-master/color_change.py | import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# torch.cuda.set_device(0)
# device='cpu'
def rgb2hsi(img):
img = torch.clamp(img, 0, 1)
r = img[:, 0, :, :]
g = img[:, 1, :, :]
b = img[:, 2, :, :]
i = (r + g + b) / 3
s = 1 - 3 * img.min(1)[0] / (r + g + b + 1e-... | 7,245 | 26.656489 | 116 | py |
USLN | USLN-master/model.py | import torch.nn as nn
from ptflops import get_model_complexity_info
from color_change import *
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class WB(nn.Module):
def __init__(self):
super().__init__()
self.conv = nn.Conv2d(3, 3, kernel_size=1, stride=1)
self.avgpool ... | 3,686 | 31.342105 | 130 | py |
USLN | USLN-master/SegDataset.py | import os
from PIL import Image
import numpy as np
import torch
from torch.utils.data import Dataset
def read_file_list(type='train'):
path_list_images_train = os.listdir(r"datasets/images_train")
path_list_labels_train = os.listdir(r"datasets/labels_train")
path_list_images_val = os.listdir(r"datasets/... | 2,160 | 28.60274 | 94 | py |
USLN | USLN-master/train.py | import numpy as np
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
import sys
from model import USLN
from SegDataset import SegDataset
from loss import Combinedloss
########################################################
num_workers = 0 if sys.platform.startswith('win32') else 8
device... | 3,435 | 31.415094 | 109 | py |
LFSC | LFSC-master/tests/run_test.py | #!/usr/bin/env python
import re
import os.path
import sys
import subprocess
import resource
class TestConfiguration(object):
''' Represents a test to run. '''
def __init__(self):
''' Initialized from program arguments.
Exists with code 2 and prints usage message on invalid arguments.
... | 4,831 | 33.76259 | 105 | py |
nonlinear_frag | nonlinear_frag-main/kmul/scripts/plots_loglog_kmul.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from mpmath import *
import sympy as sym
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes, mark_inset
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
... | 4,611 | 32.179856 | 103 | py |
nonlinear_frag | nonlinear_frag-main/kmul/scripts/plot_M1_kmul.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
from matplotlib import pyplot as plt
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
savefig_options=dict(bbox_inches='tight')
marker_style = dict( marker='o',markersize=8, markerfacecolor='white', linest... | 1,778 | 24.782609 | 104 | py |
nonlinear_frag | nonlinear_frag-main/kmul/scripts/plot_errors_kmul.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
from matplotlib import pyplot as plt
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
savefig_options=dict(bbox_inches='tight')
marker_style = dict( marker='o',markersize=8, markerfacecolor='white', linest... | 2,756 | 30.689655 | 104 | py |
nonlinear_frag | nonlinear_frag-main/kmul/scripts/plot_EOC_kmul.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
from matplotlib import pyplot as plt
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
savefig_options=dict(bbox_inches='tight')
marker_style = dict( marker='o',markersize=8, markerfacecolor='white', linest... | 3,660 | 35.61 | 104 | py |
nonlinear_frag | nonlinear_frag-main/kmul/scripts/plots_linlog_kmul.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sympy as sym
import numpy as np
from scipy.special import legendre,iv
from matplotlib import pyplot as plt
import matplotlib.patches as mpatches
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
savefig_options=dict(bbox_inches='... | 8,340 | 33.899582 | 160 | py |
nonlinear_frag | nonlinear_frag-main/kconst/scripts/plots_loglog_kconst.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import scipy.special as special
import scipy.integrate as integrate
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes, mark_inset
#options for plots
plt.rcParams["font.size"]= 16
plt.rcPar... | 4,745 | 31.958333 | 176 | py |
nonlinear_frag | nonlinear_frag-main/kconst/scripts/plot_EOC_kconst.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
from matplotlib import pyplot as plt
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
savefig_options=dict(bbox_inches='tight')
marker_style = dict( marker='o',markersize=8, markerfacecolor='white', linest... | 3,714 | 35.782178 | 104 | py |
nonlinear_frag | nonlinear_frag-main/kconst/scripts/plot_M1_kconst.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
from matplotlib import pyplot as plt
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
savefig_options=dict(bbox_inches='tight')
marker_style = dict( marker='o',markersize=8, markerfacecolor='white', linest... | 1,781 | 24.826087 | 104 | py |
nonlinear_frag | nonlinear_frag-main/kconst/scripts/plot_errors_kconst.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import numpy as np
from matplotlib import pyplot as plt
#options for plots
plt.rcParams["font.size"]= 16
plt.rcParams['lines.linewidth'] = 3
savefig_options=dict(bbox_inches='tight')
marker_style = dict( marker='o',markersize=8, markerfacecolor='white', linest... | 2,755 | 31.809524 | 104 | py |
nonlinear_frag | nonlinear_frag-main/kconst/scripts/plots_linlog_kconst.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sympy as sym
import numpy as np
from mpmath import *
from matplotlib import pyplot as plt
import scipy.special as special
import scipy.integrate as integrate
import scipy.optimize as optimize
import matplotlib.patches as mpatches
#options for plots
plt.rcParams["f... | 8,684 | 33.058824 | 173 | py |
ccdetection | ccdetection-master/main.py | '''
Created on Sep 28, 2015
@author: Tommi Unruh
'''
import sys
from args_parser import ModeArgsParser
import os
import itertools
from LazyMP import LazyMP
from LazyMP import ProcessIdGenerator
from neo4j_helper import Neo4jHelper
from configurator import Configurator
from query_file import QueryFile
from results.s... | 17,700 | 32.085981 | 82 | py |
ccdetection | ccdetection-master/manual_search.py | '''
Created on Oct 27, 2015
@author: Tommi Unruh
'''
from joern.all import JoernSteps
import time
from configurator import Configurator
from results.code_clone_data import CodeCloneData
class ManualCCSearch(object):
'''
classdocs
'''
UNTRUSTED_DATA = """attacker_sources = [
"_GET", "_... | 4,188 | 31.472868 | 102 | py |
ccdetection | ccdetection-master/neo4j_helper.py | '''
Created on Nov 11, 2015
@author: Tommi Unruh
'''
from manual_search import ManualCCSearch
import pexpect
import subprocess
import os
import signal
from configurator import Configurator
import sys
class Neo4jHelper(object):
"""
Handling of everything concerning neo4j.
"""
HEAP_SIZE = [100, "G"] # ... | 8,947 | 34.507937 | 81 | py |
ccdetection | ccdetection-master/LazyMP.py | '''
Created on Nov 10, 2015
Taken from
http://www.grantjenks.com/wiki/random/python_multiprocessing_lazy_iterating_map
(2013/12/03 11:14 by grant)
and extended by me.
@author: Tommi Unruh
'''
import multiprocessing as mp
import Queue
class LazyMP(object):
"""
Lazy multiprocessing class.
"""
def _... | 3,779 | 29.483871 | 79 | py |
ccdetection | ccdetection-master/configurator.py | '''
Created on Nov 14, 2015
@author: Tommi Unruh
'''
import os
import stat
class Configurator(object):
"""
Writes and loads data from a config file.
"""
DEFAULT_HEAP_SIZE = "6G"
KEY_PHP7 = "php7"
KEY_NEO4J = "neo4j"
KEY_HEAPSIZE = "heap_size"
KEY_GRAPHDBS = "graphdbs"
KEY_BASE... | 9,907 | 34.010601 | 98 | py |
ccdetection | ccdetection-master/query_file.py | '''
Created on Dec 7, 2015
@author: Tommi Unruh
'''
class QueryFile(object):
"""
Struct-class.
"""
def __init__(self, filename, code):
'''
Constructor
'''
self.filename = filename
self.code = code
def getCode(self):
return self.code
... | 388 | 13.961538 | 39 | py |
ccdetection | ccdetection-master/args_parser.py | '''
Created on Jul 19, 2015
@author: Tommi Unruh
'''
import re
import copy
class ModeArgsParser(object):
'''
classdocs
'''
KEY_MODE = "mode"
KEY_ORDER = "order"
KEY_EXPLANATION = "key_explanation"
KEY_ARGS_OPTIONAL = "optional_args"
KEY_ARGS_NECESSARY = "necessary_args"
KEY_ARG... | 18,607 | 34.92278 | 88 | py |
ccdetection | ccdetection-master/results/shared_data.py | '''
Created on Dec 7, 2015
@author: Tommi Unruh
'''
import os
import cPickle as pickle
from multiprocessing import Value, Manager
class SharedData(object):
"""
Handles shared statistical data, which we want to collect over several
executions of the ccdetection tool.
Only shared values are used, so tha... | 7,210 | 33.835749 | 86 | py |
ccdetection | ccdetection-master/results/code_clone_data.py | '''
Created on Dec 8, 2015
@author: tommi
'''
import StringIO
class CodeCloneData(object):
"""
Class to save and analyse the output of the ccdetection search.
"""
def __init__(self, path="", query_path="", ln_start=-1, ln_end=-1, query_time=-1):
'''
Constructor
'''
se... | 2,009 | 26.916667 | 86 | py |
ccdetection | ccdetection-master/results/__init__.py | 0 | 0 | 0 | py | |
ccdetection | ccdetection-master/custom_gremlin_steps/__init__.py | 0 | 0 | 0 | py | |
ccdetection | ccdetection-master/custom_gremlin_steps/syntax/__init__.py | 0 | 0 | 0 | py | |
nmap-generation | nmap-generation-main/generators/heightmap_generator.py | from skimage.color import rgba2rgb, rgb2gray
import numpy as np
from generator import Generator
from sobel_filter import normalized_sobel_filter
class HeightmapGenerator(Generator):
def __init__(self):
super().__init__(
folder='D:/git/nmap-generation/assets',
img_file='knight_hm.pn... | 876 | 30.321429 | 106 | py |
nmap-generation | nmap-generation-main/generators/albedo_generator.py | from skimage.color import rgb2gray, rgba2rgb
from matplotlib import pyplot as plt
from generator import Generator
from sobel_filter import normalized_sobel_filter
import numpy as np
class AlbedoGenerator(Generator):
def __init__(self):
super().__init__(
folder='D:/git/nmap-generation/assets',... | 917 | 29.6 | 102 | py |
nmap-generation | nmap-generation-main/generators/gaussian_filter.py | from scipy.signal import convolve2d as conv2d
import numpy as np
def gaussian_blur(img, intensity=4):
return conv2d(img, np.array([
[1,2,1],
[2,4,2],
[1,2,1]
])*intensity/4,
mode='same'
) / 16
| 255 | 18.692308 | 45 | py |
nmap-generation | nmap-generation-main/generators/bevel_generator.py | from turtle import shape
from cv2 import threshold
from skimage.color import rgb2gray, rgba2rgb
import numpy as np
from scipy.ndimage import distance_transform_edt
from generator import Generator
from sobel_filter import normalized_sobel_filter, sobel_filter, sobel_gradient
from gaussian_filter import gaussian_blur
c... | 3,244 | 32.802083 | 95 | py |
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