Enigmatisms

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

raw_rgb = plt.imread("VTA_trial.png")
iso_blue = raw_rgb[..., 2] - raw_rgb[..., 0]
iso_blue = np.maximum(iso_blue, np.full_like(iso_blue, 0.01))

Enigmatisms

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import animation
import sys

# input be of shape n (1d), then (periodic convolution)
def get_H(isi: np.ndarray):
    n = isi.shape[0]
    result_h = []
    for i in range(n):

Enigmatisms

import numpy as np
import matplotlib.pyplot as plt

__LOG_10__ = 2.3025851249694824
mse_loss_func = lambda src, dst: ((src - dst) ** 2).mean()
psnr_func = lambda x: -10. * np.log(x) / __LOG_10__

def solve_mls(X: np.ndarray, data: np.ndarray) -> np.ndarray:
    XXt = X.T @ X
    u, s, _ = np.linalg.svd(XXt)

Enigmatisms

use std::sync::mpsc;
use std::time::Duration;

struct AsyncTimerEvent<T> where T: Send + 'static {
    receiver: Option<mpsc::Receiver<T>>,
    sleep_time: u64,
}

impl<T> AsyncTimerEvent<T> where T: Send + 'static {
    pub fn new(sleep_sec: u64) -> AsyncTimerEvent<T> {

Enigmatisms

/**
 * async returns future, which implicitly blocks the thread (waiting)
 * 
 */

#include <future>
#include <thread>
#include <mutex>
#include <iostream>
#include <chrono>

Enigmatisms

/**
 * async returns future, which implicitly blocks the thread (waiting)
 * 
 */

#include <thread>
#include <mutex>
#include <iostream>
#include <chrono>
#include <atomic>

Enigmatisms

var all_check_box = document.getElementsByClassName("sc-panel-content bh-clearfix  bh-mv-8 wjzb-card-jskc");
for (let i=0; i < (all_check_box.length - 1);i++) {
    let choice = Math.floor(Math.random() * 10) % 2;
    all_check_box[i].children[1].children[0].children[choice].click();
}
var text_box = document.getElementsByClassName("bh-txt-input");
text_box[0].children[0].value = "老师很不错";

Enigmatisms

#人脸识别开关
import sensor, time, image #导入模块
from pyb import LED        #导入模块
from pyb import DAC        # DAC

# 设定图像基本参数
sensor.reset()       #初始化摄像头
sensor.set_contrast(2) #亮度－3至3
sensor.set_gainceiling(2)  #增益
sensor.set_framesize(sensor.QVGA)  #图像格式

Enigmatisms

import matplotlib.pyplot as plt
import numpy as np

def distanceField(sp, ep):
    brx, bry = ep + np.array([25, 25])
    direct = (ep - sp).astype(np.float64)
    direct /= np.linalg.norm(direct)
    normal = np.array([-direct[1], direct[0]], dtype = np.float64)
    result = np.zeros((bry, brx))
    for i in range(bry):

Enigmatisms

import cv2 as cv
import numpy as np
import imageio

class Link:
    collision = False
    def __init__(self, link_len = 10):
        self.buf_1 = np.zeros(link_len)
        self.buf_2 = np.zeros(link_len)
        self.link_len = link_len