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def main():
    """Run PPO until the environment throws an exception."""
    config = tf.ConfigProto()
    config.gpu_options.allow_growth = True # pylint: disable=E1101
    with tf.Session(config=config):
        # Take more timesteps than we need to be sure that
        # we stop due to an exception.
        ppo2.learn(policy=policies.CnnPolicy,
                   env=DummyVecEnv([make_env]),
                   nsteps=4096,

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TF_BUILD_INFO = {container_type: "cpu", command: "bazel build -c opt --jobs 1 --local_resources 2048,0.5,1.0 --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-mavx2 --copt=-mfma tensorflow/tools/pip_package:build_pip_package", source_HEAD: "d4c31b59469fa0e5ebad3408353e7d7476842734", source_remote_origin: "https://github.com/tensorflow/tensorflow.git", OS: "Linux", kernel: "4.9.87-linuxkit-aufs", architecture: "x86_64", processor: "Intel(R) Core(TM) i7-4770HQ CPU @ 2.20GHz", processor_count: "4", memory_total: "2046660 kB", swap_total: "1048572 kB", Bazel_version: "Build label: 0.12.0", Java_version: "1.8.0_162", Python_version: "2.7.12", gpp_version: "g++ (Ubuntu 5.4.0-6ubuntu1~16.04.9) 5.4.0 20160609", swig_version: "", NVIDIA_driver_version: "", CUDA_device_count: "0", CUDA_device_names: "", CUDA_toolkit_version: ""}
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Analyzing: target //tensorflow/tools/pip_package:build_pip_package (3 packages load

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TF_BUILD_INFO = {container_type: "cpu", command: "bazel build -c opt --jobs 1 --local_resources 2048,0.5,1.0 --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-mavx2 --copt=-mfma tensorflow/tools/pip_package:build_pip_package", source_HEAD: "d4c31b59469fa0e5ebad3408353e7d7476842734", source_remote_origin: "https://github.com/tensorflow/tensorflow.git", OS: "Linux", kernel: "4.9.87-linuxkit-aufs", architecture: "x86_64", processor: "Intel(R) Core(TM) i7-4770HQ CPU @ 2.20GHz", processor_count: "4", memory_total: "2046660 kB", swap_total: "1048572 kB", Bazel_version: "Build label: 0.12.0", Java_version: "1.8.0_162", Python_version: "2.7.12", gpp_version: "g++ (Ubuntu 5.4.0-6ubuntu1~16.04.9) 5.4.0 20160609", swig_version: "", NVIDIA_driver_version: "", CUDA_device_count: "0", CUDA_device_names: "", CUDA_toolkit_version: ""}
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FROM openai/retro-agent:tensorflow

# Needed for OpenCV.
RUN apt-get update && \
    apt-get install -y libgtk2.0-dev && \
    rm -rf /var/lib/apt/lists/*
# --- running from https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel
RUN apt-get update && apt-get install -y --no-install-recommends \
        build-essential \
        curl \

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exports.handler = function(context, event, callback) {
    var SquareConnect = require('square-connect');
    var Twilio = require('twilio');
    
    var accessToken = context.accessToken;
    var locationId = context.locationId;
    
    var messageBody = event.message;
    var number = event.number;
    

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export TAG_NAME=jerk-agent:v7
export DOCKER_REGISTRY="retrocontestxxx.azurecr.io"

docker login $DOCKER_REGISTRY \
  --username "retrocontestxxx" \
  --password "xxx"&&

docker build -f  jerk-agent.docker -t $DOCKER_REGISTRY/$TAG_NAME . &&

retro-contest run --agent $DOCKER_REGISTRY/$TAG_NAME \

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#!/usr/bin/env python

"""
A scripted agent called "Just Enough Retained Knowledge".
"""

import random

import gym
import numpy as np

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    def best_sequence(self):
        """
        Get the prefix of the trajectory with the best
        cumulative reward.
        """
        max_cumulative = max(self.reward_history)
        for i, rew in enumerate(self.reward_history):
            if rew == max_cumulative:
                return self.action_history[:i+1]
        raise RuntimeError('unreachable')

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    checkoutApi.createCheckout(locationId, checkoutRequest).then(function(data) {
      let twiml = new Twilio.twiml.MessagingResponse();
      twiml.message('Awe-some! finish up checking out here: '+ data.checkout.checkout_page_url);
      callback(null, twiml);
    }

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export TAG_NAME=$1
export DOCKER_REGISTRY="retrocontestxxx.azurecr.io"

git add jerk_agent.py
git commit -m "running $TAG_NAME locally"

mkdir results/${TAG_NAME//:}

cp jerk_agent.py results/${TAG_NAME//:}/jerk_agent.py