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import edward as ed
import numpy as np
import tensorflow as tf

from edward.models import Variational, Normal
from edward.stats import bernoulli, beta

import pandas_datareader as pdr

class AR1(object):

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"""
Created By: Trent Hauck
Date: 2015-09-18T21:52:35
License: Use the shit out of it.
"""

# pylint: disable=no-init, too-few-public-methods

from pandas.tseries import holiday as h
from pandas.tseries import offsets as o

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from prometheus_client import Summary
from prometheus_client.exposition import generate_latest

from flask_restful import Resource
from flask import Response

REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request')

class Metrics(Resource):
    """ Resource for exposing metrics to prometheus. """

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docker-machine create \
    --driver amazonec2 \
    --amazonec2-access-key $ACCESS_KEY \
    --amazonec2-secret-key $SECRET_KEY \
    --amazonec2-vpc-id $VPC \
    --amazonec2-security-group $SECURITY_GROUP \
    --amazonec2-instance-type "m4.2xlarge" \
    --amazonec2-root-size 20 \
    --amazonec2-request-spot-instance \
    --amazonec2-spot-price 0.20 \

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def linkbase_type(filepath):
    """Get the type of linkbase from the filename."""

    cases = (
        (filepath.endswith("_cal.xml"), "calculation"),
        (filepath.endswith('_def.xml'), "definition"),
        (filepath.endswith('_lab.xml'), "label"),
        (filepath.endswith('_pre.xml'), "presentation"),
        (filepath.endswith('.xsd'), "reference"),
        (filepath.endswith('.xml'), "filing"),

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import simpy
import time
import pandas as pd
import datetime as dt
import numpy as np
import metrics

class DatedEnvironment(simpy.Environment):

    def __init__(self, start_time, end_time, offset='h', initial_time=0):