呈指数增长的每次重复运行之间的停顿时长,需要配合delay来使用,譬如delay设置为3,backoff设置为2,则第一次间隔为3*2**0=1秒,第二次3*2**1=2秒,第三次3*2**2=4秒,以此类推,默认为1 max_delay...:定义backoff和delay配合下出现的等待时间上限,当delay*backoff**n大于max_delay时,等待间隔固定为该值而不再增长 下面我们通过几个直观的例子来更加深刻地认识上述参数...符合我们上面的计算结果,下面我们设置一个较小的max_delay: import time from retry import retry '''记录初始时刻''' start_time = time.clock...() @retry(delay=1,tries=10,backoff=2,max_delay=20) def demo(start_time): '''将当前时刻与初始时刻的时间差(单位:S
= "280651"; private static final int MIN_DELAY = 100; // 最小延迟时间(毫秒) private static final int MAX_DELAY...delay = Math.max(MIN_DELAY, delay - 100); // 减少延迟 } else { delay = Math.min(MAX_DELAY...InterruptedException e) { e.printStackTrace(); } } }}代码解析最小和最大延迟时间:通过MIN_DELAY和MAX_DELAY...= "280651"; private static final int MIN_DELAY = 100; // 最小延迟时间(毫秒) private static final int MAX_DELAY...Increasing delay."); delay = Math.min(MAX_DELAY, delay * 2); } else
import timeimport requestsimport randomclass DynamicDelayCrawler: def __init__(self, base_delay=1, max_delay...self.current_delay * 2) # 出错时增加延迟 return None# 测试crawler = DynamicDelayCrawler(base_delay=1, max_delay...requestsfrom fake_useragent import UserAgentclass AdvancedCrawler: def __init__(self, base_delay=1, max_delay...=10): self.base_delay = base_delay self.max_delay = max_delay self.current_delay...time.sleep(self.current_delay * 2) return None# 测试crawler = AdvancedCrawler(base_delay=1, max_delay
mp.Queue, result_queue:mp.Queue, model_args:dict, batch_size=16, max_delay...self.result_queue = result_queue self.batch_size = batch_size self.max_delay = max_delay...=0.1,ready_event=None): w = cls(data_queue, result_queue, model_args, batch_size, max_delay,...LightWrapper: def __init__(self, worker_class, model_args: dict, batch_size=16, max_delay...=worker_class.start, args=( self.data_queue, self.result_queue, model_args, batch_size, max_delay
import random import time import requests def random_delay_crawler(url, min_delay=1, max_delay=5):...response = requests.get(url) print(response.status_code) delay = random.uniform(min_delay, max_delay...import time import requests def dynamic_delay_crawler(url, initial_delay=2, max_delay=10): delay...initial_delay # 重置延迟 else: print("请求失败,增加延迟") delay = min(delay * 2, max_delay
import randomimport timeimport requestsdef random_delay_crawler(url, min_delay=1, max_delay=5): response...= requests.get(url) print(response.status_code) delay = random.uniform(min_delay, max_delay)...import timeimport requestsdef dynamic_delay_crawler(url, initial_delay=2, max_delay=10): delay = initial_delay...initial_delay # 重置延迟 else: print("请求失败,增加延迟") delay = min(delay * 2, max_delay
@retry((ValueError, TypeError), delay=1, backoff=2, max_delay=4) def make_trouble(): '''Retry on...make_trouble() retry_call def retry_call(f, fargs=None, fkwargs=None, exceptions=Exception, tries=-1, delay=0, max_delay...:param max_delay: the maximum value of delay. default: None (no limit).
pip install retry 其中的解释如下: def retry(exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff...:param max_delay: the maximum value of delay. default: None (no limit).
BALLOON_COUNT = 5; private static final int BALLOON_SPACING = 50; private static final int MAX_DELAY...balloonColors.add(color); // 生成随机延迟时间 int delay = random.nextInt(MAX_DELAY...BALLOON_COUNT = 5; private static final int BALLOON_SPACING = 50; private static final int MAX_DELAY...balloonColors.add(color); // 生成随机延迟时间 int delay = random.nextInt(MAX_DELAY
import time import random def exponential_backoff(retry_count, max_retry=5): base_delay = 1 max_delay...= 60 delay = min(base_delay * (2 ** retry_count), max_delay) return delay + random.uniform(0
行为参数 self.min_delay = self.config.get('min_delay', 3) self.max_delay = self.config.get('max_delay...x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36", "min_delay": 3, "max_delay
这里优化了对数据库挂的时候,避免频繁轮询的问题 private static final long MIN_DELAY = 20; private static final long MAX_DELAY...getAcquireRetryDelay specification if (delay < MIN_DELAY) delay = MIN_DELAY; if (delay > MAX_DELAY...) delay = MAX_DELAY; return delay; } connectionProvider.class 比如 org.quartz.jobStore.dataSource
ngx_http_limit_req_ctx_t *ctx; ngx_http_limit_req_node_t *lr; excess = *ep; /* 设置max_delay...的初始值,max_delay为最大需要延迟的时间(ms) 后面在限流规则表中循环计算,得到最大的延时时间 */ if ((ngx_uint_t) excess delay) { max_delay = 0; } else { ctx = (*limit)->shm_zone->data; max_delay...) { max_delay = delay; *ep = excess; *limit = &limits[n];...} } return max_delay; } 经过以上分析,nginx限流模块ngx_http_limit_req_module的主要逻辑都已经清晰了。
) { resumeUndispatched(Unit) } } handler.postDelayed(block, timeMillis.coerceAtMost(MAX_DELAY...Long, block: Runnable): DisposableHandle { handler.postDelayed(block, timeMillis.coerceAtMost(MAX_DELAY
例如下面的代码片段1,fork + join_any产生了两个并行的子进程: 第一个子进程等待valid信号,然后打印第12行的信息; 第二个子进程等待max_delay个ns,然后打印第16行的信息。
这个时候如果横插一脚,再次设置一个从logic0到logic1的max_delay/min_delay,那么会导致原来设置的相关sdc作废,因为从DFF0到DFF1以及从DFF0到DFF2的timing
ffmpeg -rtsp_transport tcp -i “rtsp://admin:guide123@192.168.1.190:554/” -q 0 -buffer_size 1024000 -max_delay
虚假数据生成二、核心绕圈策略实现1.延迟响应技术通过在服务响应中引入人为延迟,延长攻击者的操作时间:importtimeimportrandomdefdelayed_response(min_delay=2,max_delay...=10):"""随机延迟响应装饰器"""defdecorator(func):defwrapper(*args,**kwargs):delay=random.uniform(min_delay,max_delay
. */ int64_t bit_rate; //输入视频的码率,单位为bit/s unsigned int packet_size; int max_delay
data/test.mp4" - id: "b" method: "network" input_url: "rtsp://127.0.0.1:8554/test" max_delay