<commit_before>import os
import time
from collections import deque
import pickle

from baselines.ddpg.ddpg_learner import DDPG
from baselines.ddpg.models import Actor, Critic
from baselines.ddpg.memory import Memory
from baselines.ddpg.noise import AdaptiveParamNoiseSpec, NormalActionNoise, OrnsteinUhlenbeckActionNoise

import baselines.common.tf_util as U

from baselines import logger
import numpy as np
from mpi4py import MPI


def learn(network, env,
          seed=None,
          total_timesteps=None,
          nb_epochs=None, # with default settings, perform 1M steps total
          nb_epoch_cycles=20,
          nb_rollout_steps=100,
          reward_scale=1.0,
          render=False,
          render_eval=False,
          noise_type='adaptive-param_0.2',
          normalize_returns=False,
          normalize_observations=True,
          critic_l2_reg=1e-2,
          actor_lr=1e-4,
          critic_lr=1e-3,
          popart=False,
          gamma=0.99,
          clip_norm=None,
          nb_train_steps=50, # per epoch cycle and MPI worker,
          nb_eval_steps=100,
          batch_size=64, # per MPI worker
          tau=0.01,
          eval_env=None,
          param_noise_adaption_interval=50,
          **network_kwargs):
<commit_msg>DDPG has unused 'seed' argument (#676)<commit_after>import os
import time
from collections import deque
import pickle

from baselines.ddpg.ddpg_learner import DDPG
from baselines.ddpg.models import Actor, Critic
from baselines.ddpg.memory import Memory
from baselines.ddpg.noise import AdaptiveParamNoiseSpec, NormalActionNoise, OrnsteinUhlenbeckActionNoise
from baselines.common import set_global_seeds
import baselines.common.tf_util as U

from baselines import logger
import numpy as np
from mpi4py import MPI


def learn(network, env,
          seed=None,
          total_timesteps=None,
          nb_epochs=None, # with default settings, perform 1M steps total
          nb_epoch_cycles=20,
          nb_rollout_steps=100,
          reward_scale=1.0,
          render=False,
          render_eval=False,
          noise_type='adaptive-param_0.2',
          normalize_returns=False,
          normalize_observations=True,
          critic_l2_reg=1e-2,
          actor_lr=1e-4,
          critic_lr=1e-3,
          popart=False,
          gamma=0.99,
          clip_norm=None,
          nb_train_steps=50, # per epoch cycle and MPI worker,
          nb_eval_steps=100,
          batch_size=64, # per MPI worker
          tau=0.01,
          eval_env=None,
          param_noise_adaption_interval=50,
          **network_kwargs):

    set_global_seeds(seed)
{'fraction_non_alphanumeric': 0.0672012218403971, 'fraction_numerical': 0.026345933562428408, 'mean_word_length': 2.623789764868603, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '6849503', 'n_tokens_mistral': 873, 'n_tokens_neox': 820, 'n_words': 186}