ernestum

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ernestum

import time

import numpy as np
from quadrotor_environment.quadrotor_model import SysState
from quadrotor_environment.simulation_parameter_randomization import SPRWrappedQuadrotorEnvironment
from stable_baselines import PPO2

state_dtype = np.dtype([("position", np.float, 3),
                            ("velocity", np.float, 3),
                            ("rotation", np.quaternion),

ernestum

absl-py==0.6.1
alabaster==0.7.10
AnyQt==0.0.8
apptools==4.4.0
apt-clone==0.2.1
apt-xapian-index==0.47
apturl==0.5.2
astor==0.7.1
atari-py==0.1.6
atomicwrites==1.2.1

ernestum

# -*- coding: utf-8 -*-
import math
import re
import time

def extractTerms(document):
    '''
    Extracts all the terms (lowercased) from a document string.
    '''
    return [t.lower() for t in re.split("\W+", document)]

ernestum

import numpy as np
from scipy.ndimage.interpolation import map_coordinates
from scipy.ndimage.filters import gaussian_filter

def elastic_transform(image, alpha, sigma, random_state=None):
    """Elastic deformation of images as described in [Simard2003]_.
    .. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
       Convolutional Neural Networks applied to Visual Document Analysis", in
       Proc. of the International Conference on Document Analysis and
       Recognition, 2003.

ernestum

# -*- coding: utf-8 -*-
import random

'''
ACTUAL ALGORITHM START
'''

def getMaximumSumSubsequenceInformation(sequence, start, end):
    '''
    Returns information regarding the subsequence with maximal sum in the given

ernestum

#include <Servo.h>

int servoPin = 9, speedPotPin = A0, directionPotPin = A1;
Servo servo;
void setup()
{
  Serial.begin(9600);
  pinMode(servoPin, OUTPUT);
  pinMode(speedPotPin, INPUT);  
  pinMode(directionPotPin, INPUT);