WebScrapper.getRandomInt()get random integer in range This function take 2 parameterWebScrapper.getRandomInt(min,max)the generated number will be in between min and max. letid=WebScrapper.getRandomInt(10,100);console.log(id);//Will Return a number between 10 and 100 . ...
for _ in range(21): jsonp += str(random.randint(0, 9)) jquery = 'jQuery' + jsonp + '_' return jquery def get_dict_from_jquery(text): result = re.findall(r'\((.*?)\)', text)[0] return json.loads(result) def get_encrypted_password_by_javascript(password): # 两个 JavaScr...
we have int in range, float in range, int to float in range (e.g. 0x2440 for 10.0), list goes on.Member bnoordhuis commented Oct 2, 2019 @jasnell @tniessen If most uses end up looking like y = (typeof x === 'bigint' ? randomBigInt : randomInt)(0, x) then we don't...
以下是一个 Python 脚本,用于重新命名混淆代码中变量和函数: import astimport randomimport stringimport redef get_random_name(length):chars = string.ascii_lowercasereturn ''.join(random.choice(chars) for i in range(length))def rename_vars(code):tree = ast.parse(code)used_names = [node.id for...
另外,本文工具函数的命名非常值得借鉴。 1. 第一部分:数组 1. `all`:布尔全等判断 代码语言:javascript 复制 constall=(arr,fn=Boolean)=>arr.every(fn);all([4,2,3],x=>x>1);// trueall([1,2,3]);// true 2. `allEqual`:检查数组各项相等 ...
headers['user-agent']=random.choice(headerList)response2=requests.post(url=url2,data=data,headers=headers)dict2=json.loads(response2.text)downloadUrl=dict2['data'][0]['url']downloadDir='./网易云音乐'try:# 自动创建文件夹os.mkdir(downloadDir)exceptExceptionase:print(e)# 下载歌曲代码response3...
return Math.floor(Math.random() * (max - min + 1)) + min; } 这段代码定义了一个函数getRandomInt(),接受一个最小值和一个最大值参数,然后生成一个在这两个值之间的随机整数。我们可以调用这个函数来得到我们需要的随机数。 第三篇示例: 在JavaScript中,Math.random()是一个非常常用的函数,用来生成...
数美滑块验证码破解验证"""importbase64importjsonimportrandomimportreimporttimefromioimportBytesIOimportcv2importnumpyasnpimportrequestsfrompyDesimportdes,ECBCAPTCHA_DISPLAY_WIDTH=310CAPTCHA_DISPLAY_HEIGHT=155p={}defpad(b):""" 块填充""" block_size=8whilelen(b)%block_size:b+=b'\0'returnb ...
randomIntmay more evenly distribute its biased, but it is still wrong.randomIntByModulo, at least in the example given, is heavily biased to return [0, 67] over [68, 99]. In order to eliminate bias, sometimes the engine which random data is pulled from may need to be used more than...
memory.save(data)#训练100次,每次从内存中随机抽取一个batch的数据foriinrange(100): input_batch, target_batch=memory.sample() model.update(input_batch, target_batch)#预测prediction = model.predict_nograd(np.random.randint(0,2,size=10))print(prediction) ...