<commit_before>"""
(c) June 2017 by <NAME>

Behavioral cloning (continuous actions only). Tested environments:

    Hopper-v1

For results, see the README(s) nearby.

    TODO right now we assume we'll get our minibatches of data with `get_batch`
    but this is inefficient if we decide to scale up and avoid subsampling the
    data, where it would be better to have a list which supplies fixed,
    pre-computed minibatches. I should fix this later.

    TODO handle l2 regualrization? Though I have found that this doesn't have as
    good an effect as I thought it would ...
"""

import argparse
import gym
import matplotlib.pyplot as plt
import numpy as np
import os
import pickle
import sys
import tensorflow as tf
import tensorflow.contrib.layers as layers
import tf_util
plt.style.use('seaborn-darkgrid')
np.set_printoptions(edgeitems=100, linewidth=100, suppress=True)


def get_tf_session():
    """ Returning a session. Set options here if desired. """
    tf.reset_default_graph()
    tf_config = tf.ConfigProto(inter_op_parallelism_threads=1,
                               intra_op_parallelism_threads=1)<commit_msg>Whoops, fixed bc.py documentation at the top<commit_after>"""
(c) June 2017 by <NAME>

Behavioral cloning (continuous actions only).  For results, see the README(s)
nearby.

    TODO right now we assume we'll get our minibatches of data with `get_batch`
    but this is inefficient if we decide to scale up and avoid subsampling the
    data, where it would be better to have a list which supplies fixed,
    pre-computed minibatches. I should fix this later.

    TODO handle l2 regualrization? Though I have found that this doesn't have as
    good an effect as I thought it would ...
"""

import argparse
import gym
import matplotlib.pyplot as plt
import numpy as np
import os
import pickle
import sys
import tensorflow as tf
import tensorflow.contrib.layers as layers
import tf_util
plt.style.use('seaborn-darkgrid')
np.set_printoptions(edgeitems=100, linewidth=100, suppress=True)


def get_tf_session():
    """ Returning a session. Set options here if desired. """
    tf.reset_default_graph()
    tf_config = tf.ConfigProto(inter_op_parallelism_threads=1,
                               intra_op_parallelism_threads=1)
{'fraction_non_alphanumeric': 0.06557377049180328, 'fraction_numerical': 0.011962782454585734, 'mean_word_length': 3.773784355179704, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '3149260', 'n_tokens_mistral': 685, 'n_tokens_neox': 647, 'n_words': 270}