chetandhembre

                        //"avcoti" hexadecimal representation of the following three bytes in the (subset) sequence parameter set Network Abstraction Layer (NAL) unit specified in AVC:  1.profile_idc, 2.the byte containing the constraint_set flags (currently constraint_set0_flag through constraint_set5_flag, and the reserved_zero_2bits), 3.level_idc.
AVC1_CODEC_MAP = {                  
 ,"avc1.66.30":   {profile:"Baseline", level:3.0, max_bit_rate:10000}   //iOS friendly variation (iOS 3.0-3.1.2)
  "avc1.42001e":  {profile:"Baseline", level:3.0, max_bit_rate:10000}
 ,"avc1.42001f":  {profile:"Baseline", level:3.1, max_bit_rate:14000}

//other variations
 ,"avc1.77.30":   {profile:"Main",     level:3.0, max_bit_rate:10000}   //iOS friendly variation (iOS 3.0-3.1.2)
 ,"avc1.4d001e":  {profile:"Main",     level:3.0, max_bit_rate:10000}
 ,"avc1.4d001f":  {profile:"Main",     level:3.1, max_bit_rate:14000}

chetandhembre

EFS Mounting on Ubuntu

Get EFS ID

aws configure set preview.efs true
aws efs describe-file-systems --profile TEST --region us-east-2

{

chetandhembre

import math

import numpy as np
import gym
import tensorflow as tf

import matplotlib
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

chetandhembre

import math

import numpy as np
import gym
import tensorflow as tf

import matplotlib
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

chetandhembre

# https://dl.dropboxusercontent.com/u/47591917/cliff_world_episode_length.png
# https://dl.dropboxusercontent.com/u/47591917/cliff_world_episode_reward.png
# https://dl.dropboxusercontent.com/u/47591917/cliff_world_episode_timestamp.png
# https://dl.dropboxusercontent.com/u/47591917/cliff_world_path.png

import numpy as np
import matplotlib
import math
import pandas as pd
from matplotlib import pyplot as plt

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#graph solution
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_episode_length_sarsa.png
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_episode_reward_sarsa.png
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_episode_timestamp_sarsa.png
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_path_sarsa.png
import numpy as np
import matplotlib
import math
import pandas as pd
from matplotlib import pyplot as plt

chetandhembre

#!#/usr/bin/python2
import numpy as np
import matplotlib
import math
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.mlab as mlab
from matplotlib.patches import Circle, Wedge, Polygon
from matplotlib.collections import PatchCollection
import matplotlib.patches as patches

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#!#/usr/bin/python2
#plot link: https://dl.dropboxusercontent.com/u/47591917/easy21_mc.png
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D


RED = 0
BLACK = 1

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#resultant graphs are here: https://dl.dropboxusercontent.com/u/47591917/demo.png
import numpy as np
import math
from matplotlib import pyplot as plt

class State(object):
  def __init__(self, capital):
    self.capital = capital

  def staked(self, stake):

chetandhembre

# View list of connections and their states
netstat -tan | grep ':80 ' | awk '{print $6}' | sort | uniq -c

# List all connections and timers
ss -rota | less