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#!/bin/bash | |
CYAN="$(tput bold; tput setaf 6)" | |
RESET="$(tput sgr0)" | |
clear | |
if command -v python3 > /dev/null 2>&1; then | |
if [ $(python3 -c "print('ye')") = "ye" ]; then | |
clear |
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npm config set registry https://registry.npmmirror.com # ๆณจๅๆจกๅ้ๅ | |
npm config set disturl https://npmmirror.com/dist # node-gyp ็ผ่ฏไพ่ต็ node ๆบ็ ้ๅ | |
npm config set sass_binary_site https://npmmirror.com/mirrors/node-sass # node-sass ไบ่ฟๅถๅ ้ๅ | |
npm config set electron_mirror https://npmmirror.com/mirrors/electron/ # electron ไบ่ฟๅถๅ ้ๅ | |
npm config set puppeteer_download_host https://npmmirror.com/mirrors # puppeteer ไบ่ฟๅถๅ ้ๅ | |
npm config set chromedriver_cdnurl https://npmmirror.com/mirrors/chromedriver # chromedriver ไบ่ฟๅถๅ ้ๅ | |
npm config set operadriver_cdnurl https://npmmirror.com/mirrors/operadriver # operadriver ไบ่ฟๅถๅ ้ๅ | |
npm config set phantomjs_cdnurl https://npmmirror.com/mirrors/phantomjs # phantomjs ไบ่ฟๅถๅ ้ๅ | |
npm config set selenium_cdnurl https://npmmirror.com/mirrors/selenium # selenium ไบ่ฟๅถๅ ้ๅ | |
npm config set node_inspector_cdnurl https://npmmirror.com/mirrors/node-inspector # node-inspector ไบ่ฟๅถๅ ้ๅ |
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from selenium import webdriver | |
from selenium.webdriver.support.ui import WebDriverWait | |
from selenium.webdriver.common.by import By | |
from selenium.webdriver.support import expected_conditions as EC | |
import requests | |
import os | |
def download_all_papers(base_url, save_dir, driver_path): | |
driver = webdriver.Chrome(driver_path) |
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import matplotlib.pyplot as plt | |
import numpy as np | |
def show_images(images, cols = 1, titles = None): | |
"""Display a list of images in a single figure with matplotlib. | |
Parameters | |
--------- | |
images: List of np.arrays compatible with plt.imshow. | |
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import re | |
AJCC7 = { | |
'lung': { | |
'T': {'x', '0', 'is', '1', '1a', '1b', '2', '2a', '2b', '3', '4'}, | |
'N': {'x', '0', '1', '2', '3'}, | |
'M': {'x', '0', '1', '1a', '1b'} | |
}, | |
'colon': { | |
'T': {'x', '0', 'is', '1', '2', '3', '4', '4a', '4b'}, |
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#define __STDC__WANT__LTB__ 1 | |
#include<stdio.h> | |
#include<stdlib.h> | |
#include<stdbool.h> | |
#include<stdint.h> | |
#define CAP_INCR 10 | |
int main(void) | |
{ | |
uint64_t *pPrimes=NULL;//ๅฎไนๆ้ๅๅ้ |
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""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
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#define __STDC__WANT__LTB__ 1 | |
#include<stdio.h> | |
#include<stdlib.h> | |
#include<stdbool.h> | |
#include<stdint.h> | |
#define CAP_INCR 10 | |
int main(void) | |
{ | |
uint64_t *pPrimes=NULL;//ๅฎไนๆ้ๅๅ้ |
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''' | |
Non-parametric computation of entropy and mutual-information | |
Adapted by G Varoquaux for code created by R Brette, itself | |
from several papers (see in the code). | |
This code is maintained at https://github.com/mutualinfo/mutual_info | |
Please download the latest code there, to have improvements and | |
bug fixes. |
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import dicom | |
import os | |
import numpy | |
import pylab | |
# readind data | |
ds = dicom.read_file("DICOMDIR") # read a dicomdir of PET/CT | |
# collect pixel_volume and resolution |
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