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# Netscape HTTP Cookie File
# http://curl.haxx.se/rfc/cookie_spec.html
# This is a generated file!  Do not edit.

www.kaggle.com	FALSE	/signin-google	TRUE	1622141045	.AspNetCore.Correlation.nEMbPmmLxF6RQWe4-ojKyPwc1HVoIcxDNp_wpo8UBDY	N
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www.kaggle.com	FALSE	/	FALSE	1624559315	ka_sessionid	8a0e35d8561f84230a3e26cdf0ef864d
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www.kaggle.com	FALSE	/	TRUE	1624560249	.ASPXAUTH	0E4A4C46F9714741E7F773D6A6F39E7AB865AFECF69BBC2E42110CC2C33E0E5D5CE849562F7936E0C55D11A0B278BA75C9B1D577F140283683A95A8C5FF5878DB7E48FB12BEE98F90B352199C65AA32A2AEDC6B6
www.kaggle.com	FALSE	/	TRUE	0	CSRF-TOKEN	CfDJ8LdUzqlsSWBPr4Ce3rb9VL8rk05NUjddbVi2Jy1gtMh2QaAtmuA5TOShOFa_5FzYyTxEUp-OhrccE4CfIStPiADWStNQ6jnVh7EBq8MxzgaDP_F06FqRwK2pJ9rme-f6Qk1WdJ5eJujS5m9wJRxMhRI

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#!/bin/bash

files=(
01:2011_10_03_drive_0042
)
echo 'start downloading trained model......'
wget 'https://www.polybox.ethz.ch/index.php/s/90OlHg6KWBzG6gR'
echo 'model downloading finished! start downloading raw images....'

mkdir 'images'

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import json
from ibm_watson import NaturalLanguageUnderstandingV1
from ibm_watson.natural_language_understanding_v1 import Features, EntitiesOptions, KeywordsOptions,CategoriesOptions,EmotionOptions,SentimentOptions
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

API_KEY = "#"
iam_URI = "#"

def analyzeText(text_i):

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# Imports the Google Cloud client library
from google.cloud import translate
from google.cloud import speech_v1p1beta1
import io
from pydub import AudioSegment

GOOGLE_API_KEYS = "Keys/googleKeys.json"

def Translate(text,target = "en"):
    global GOOGLE_API_KEYS

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'''
# Sample code to perform I/O:

name = input()                  # Reading input from STDIN
print('Hi, %s.' % name)         # Writing output to STDOUT

# Warning: Printing unwanted or ill-formatted data to output will cause the test cases to fail
'''

# Write your code here

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from __future__ import print_function
import argparse
import os
import numpy as np
import glob
import matplotlib.pyplot as plt
from pyAudioAnalysis import audioFeatureExtraction as aF
from pyAudioAnalysis import audioTrainTest as aT
from pyAudioAnalysis import audioSegmentation as aS
from pyAudioAnalysis import audioVisualization as aV

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import numpy as np
import argparse
import imutils
import time
import cv2
import os
import pyrealsense2 as rs
from imutils.video import FPS
from imutils.video import VideoStream
from grabscreen import *

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cmake_minimum_required(VERSION 3.4)
project(acuradyne-network-tool)

set(Boost_INCLUDE_DIR /usr/local/include)
set(Boost_LIBRARY_DIR /usr/local/lib)

set(CMAKE_CXX_STANDARD 11)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY "${CMAKE_SOURCE_DIR}/bin")

# Detect and add SFML

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CMake Error at /usr/share/cmake-3.5/Modules/FindBoost.cmake:1068 (file):
  file STRINGS file "/usr/local/include/boost/version.hpp" cannot be read.
Call Stack (most recent call first):
  CMakeLists.txt:10 (FIND_PACKAGE)


CMake Warning at /usr/share/cmake-3.5/Modules/FindBoost.cmake:725 (message):
  Imported targets not available for Boost version 0
Call Stack (most recent call first):
  /usr/share/cmake-3.5/Modules/FindBoost.cmake:763 (_Boost_COMPONENT_DEPENDENCIES)

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#include <ros/ros.h>
#include <xpp_msgs/RobotStateCartesian.h>
#include <xpp_states/robot_state_cartesian.h>
#include <xpp_states/convert.h>

using namespace xpp;

int main(int argc, char *argv[])
{
  ros::init(argc, argv, "hopper_publisher");