row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
13,662
|
fasdfa
|
89a7f25c640d954e1e7deb51c8d8bc77
|
{
"intermediate": 0.3141278326511383,
"beginner": 0.3208237588405609,
"expert": 0.36504846811294556
}
|
13,663
|
copy file from git repo to remote server with jenkins groovy
|
9fa376bbf21faea64989f6bb283a4112
|
{
"intermediate": 0.44881823658943176,
"beginner": 0.15938474237918854,
"expert": 0.3917969763278961
}
|
13,664
|
what are the commands to copy the fox backup files (switch configurations ) to the USB drive?
|
98ad744cfaa4158b8951705e62558968
|
{
"intermediate": 0.3933297395706177,
"beginner": 0.29624709486961365,
"expert": 0.31042319536209106
}
|
13,665
|
I used your code of signal_generator :def signal_generator(df):
# Calculate EMA and MA lines
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA10'] = df['Close'].ewm(span=10, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA50'] = df['Close'].ewm(span=50, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
df['MA10'] = df['Close'].rolling(window=10).mean()
df['MA20'] = df['Close'].rolling(window=20).mean()
df['MA50'] = df['Close'].rolling(window=50).mean()
df['MA100'] = df['Close'].rolling(window=100).mean()
# Extract necessary prices from df
open_price = df.Open.iloc[-1]
close_price = df.Close.iloc[-1]
high_price = df.High.iloc[-1]
low_price = df.Low.iloc[-1]
previous_open = df.Open.iloc[-2]
previous_close = df.Close.iloc[-2]
# Calculate the last candlestick
last_candle = df.iloc[-1]
current_price = df.Close.iloc[-1]
# Initialize analysis variables
ema_analysis = ''
candle_analysis = ''
# EMA crossover - buy signal
if df.EMA10.iloc[-1] > df.EMA50.iloc[-1] and current_price > last_candle[['EMA10', 'EMA50']].iloc[-1].min():
ema_analysis = 'buy'
# EMA crossover - sell signal
elif df.EMA10.iloc[-1] < df.EMA50.iloc[-1] and current_price < last_candle[['EMA10', 'EMA50']].iloc[-1].max():
ema_analysis = 'sell'
# EMA crossover - buy signal
if df.EMA20.iloc[-1] > df.EMA200.iloc[-1] and current_price > last_candle[['EMA20', 'EMA200']].iloc[-1].min():
ema_analysis = 'buy'
# EMA crossover - sell signal
elif df.EMA20.iloc[-1] < df.EMA200.iloc[-1] and current_price < last_candle[['EMA20', 'EMA200']].iloc[-1].max():
ema_analysis = 'sell'
# Check for bullish trends
elif current_price > last_candle[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1].max():
ema_analysis = 'buy'
# Check for bearish trends
elif current_price < last_candle[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1].min():
ema_analysis = 'sell'
# Check for bullish candlestick patterns
elif last_candle['Close'] > last_candle['Open'] and last_candle.Low > last_candle[['Open', 'Close']].min():
candle_analysis = 'buy'
# Check for bearish candlestick patterns
elif last_candle['Close'] < last_candle['Open'] and last_candle.High < last_candle[['Open', 'Close']].max():
candle_analysis = 'sell'
# Check if the current price is higher than the previous close, indicating buying pressure
if current_price > previous_close:
pressure_analysis = 'buy'
# Check if the current price is lower than the previous close, indicating selling pressure
elif current_price < previous_close:
pressure_analysis = 'sell'
# Combine all analysis into final signal
if ema_analysis == 'buy' and candle_analysis == 'buy' and pressure_analysis == 'buy':
return 'buy'
elif ema_analysis == 'sell' and candle_analysis == 'sell' and pressure_analysis == 'sell':
return 'sell'
else:
return ''
But it doesn't give me any signal and what is that pressure_analysis ?
|
0365599d219586633dd3e9c164960b71
|
{
"intermediate": 0.3011225461959839,
"beginner": 0.4059969186782837,
"expert": 0.29288050532341003
}
|
13,666
|
How can I set and get values in redis using swift code?
|
50fdf12048336550df2c01b28b7843fd
|
{
"intermediate": 0.8060778379440308,
"beginner": 0.06947416812181473,
"expert": 0.12444797158241272
}
|
13,667
|
implement spin_lock_irqsave() in freertos
|
f7114cae9d76722ea4c18506fd11684b
|
{
"intermediate": 0.3662668764591217,
"beginner": 0.16180320084095,
"expert": 0.4719298779964447
}
|
13,668
|
i need to create an application where i have to rate limit api calls. I saw that using bucket4j would be enough. The problem is that i will need to create multiple docker containers distributed on kubernetes and bucket4j would not provide ratelimit for all the containers. Redis should be the solution. How would it work and how can i integrate the two? Show me an example of a springboot application using these dependencies and create an easy example with an api rate limited
|
13f6338972576eb86a838c5bab790a66
|
{
"intermediate": 0.8114748597145081,
"beginner": 0.08482684940099716,
"expert": 0.10369827598333359
}
|
13,669
|
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds.
Generating images from a prompt require some Detailed examples with parameters : *prompt*, prompt is a technical term written in English for drawing and photography, summarized in less than fifty words.
Prompt examples:
|
c6d5d22f7a77bc651ae46d2be4bc17bd
|
{
"intermediate": 0.26584377884864807,
"beginner": 0.2605743706226349,
"expert": 0.47358182072639465
}
|
13,670
|
hi can you help with my python code and decky laoder project?
|
6a2fad7ed656904cc85e8a298845ee39
|
{
"intermediate": 0.4834084212779999,
"beginner": 0.11817897856235504,
"expert": 0.3984126150608063
}
|
13,671
|
MYSQL get last inserted id
|
dccaba2ce8becd566bbd5e216e75b5a2
|
{
"intermediate": 0.3792095184326172,
"beginner": 0.27806556224823,
"expert": 0.34272488951683044
}
|
13,672
|
how to change metrerial button color
|
7d6db0592721334343e80b3762abdced
|
{
"intermediate": 0.3652568459510803,
"beginner": 0.3698118031024933,
"expert": 0.2649313807487488
}
|
13,673
|
使用C语言，设计相应的数据结构；
1.创建后备作业队列（20个）作业需要的内存，需要的A,B,C类资源随机生成，生成的内存小于256K，生成所需A资源小于6，生成所需B资源小于3，生成所需C资源小于4，作业需要的运行时间也随机生成（1-5之间）
2.作业调度，上述20个作业都在0时刻按顺序同时到达（即到达时刻都为0，先后顺序为1-20），按先来先服务选择作业（5个）进入内存；
为每个作业创建一个进程，进程调度算法:时间片轮转
3.分配内存（总内存：1024K）及相应资源（系统资源A=20，B=8，C=12），内存管理策略：动态分区分配方式（首次适应算法），若内存不足，则选择下一个足够内存的作业
4.非抢占策略,进程在运行过程中随机请求资源，采用避免死锁策略；
执行十个作业后用中文输出相关信息：
1.当前内存中五个作业的信息
2.内存分配情况
结束时用中文输出相关信息：
1.所有作业信息（到达时间，完成时间，周转时间，带权周转时间，平均周转时间，平均带权周转时间）
|
26d479863aea451e88b9aaf3898328e7
|
{
"intermediate": 0.20082460343837738,
"beginner": 0.4221070110797882,
"expert": 0.3770684003829956
}
|
13,674
|
algorithm step every square of unknown 2d surface
|
dbec11c38316ee64367e215061efd37f
|
{
"intermediate": 0.21342772245407104,
"beginner": 0.24048563838005066,
"expert": 0.5460866093635559
}
|
13,675
|
how to check libc version use gcc command
|
40e018b65a9a3ef8feb9b289128dfae7
|
{
"intermediate": 0.7152431607246399,
"beginner": 0.1507750302553177,
"expert": 0.1339818239212036
}
|
13,676
|
使用C语言，设计一个程序；
1.创建后备作业队列（20个）作业需要的内存，需要的A,B,C类资源随机生成，生成的内存小于64K(系统总内存为1024K)，生成所需A资源小于6，生成所需B资源小于3，生成所需C资源小于4，作业需要的运行时间也随机生成（1-5之间）
2.作业调度，上述20个作业都在0时刻按顺序同时到达（即到达时刻都为0，先后顺序为1-20），按先来先服务选择作业（5个）进入内存；为每个作业创建一个进程，进程调度算法:时间片轮转(时间片为3)
3.分配内存（总内存：1024K）及相应资源（系统资源A=20，B=8，C=12），内存管理策略：动态分区分配方式（首次适应算法），若内存不足，则选择下一个足够内存的作业
生成完20个队列后用中文输出相关信息：
各个作业所需的内存，资源，作业需要的运行时间
执行五个作业后用中文输出相关信息：
1.当前内存中五个作业的信息（到达时间,需要的运行时间，完成时间，以及在内存中的起始位置和终止位置）
|
49300a4838765161402461d91c8b128d
|
{
"intermediate": 0.31063544750213623,
"beginner": 0.2826700806617737,
"expert": 0.4066944420337677
}
|
13,677
|
Give me a script for Blender to create a Hull Ship
|
3edbeb4fce240e6a726fc56212eb30e6
|
{
"intermediate": 0.3860463500022888,
"beginner": 0.16780507564544678,
"expert": 0.4461485743522644
}
|
13,678
|
Hi
|
fe1d94af6edf1fd2928eed1064c4011e
|
{
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
}
|
13,679
|
on linux, how to make one folder mirror another? I mean, making them exactly identical, removing extra files, moving the same files to corresponding directories. Same files are known by their name.
|
19c0058662db79e6889b0ac6ef95d29e
|
{
"intermediate": 0.37742727994918823,
"beginner": 0.24077004194259644,
"expert": 0.3818027079105377
}
|
13,680
|
get me a python code fpr buffer in arcgis
|
c73b01be0a8021d3959c470b891dfd19
|
{
"intermediate": 0.46903976798057556,
"beginner": 0.2394498735666275,
"expert": 0.2915104031562805
}
|
13,681
|
error: unknown command 'link'
|
e1f082ffc668b437fe934f277a9eeb2f
|
{
"intermediate": 0.4102855920791626,
"beginner": 0.3260440528392792,
"expert": 0.2636703848838806
}
|
13,682
|
Hi! do you know about react-hook-form?
|
84ea755f3f4b7a2ca688ce0dc8cf21ec
|
{
"intermediate": 0.38533541560173035,
"beginner": 0.17426906526088715,
"expert": 0.4403955042362213
}
|
13,683
|
I used your signal_generator code: def signal_generator(df):
# Calculate EMA and MA lines
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA10'] = df['Close'].ewm(span=10, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA50'] = df['Close'].ewm(span=50, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
df['MA10'] = df['Close'].rolling(window=10).mean()
df['MA20'] = df['Close'].rolling(window=20).mean()
df['MA50'] = df['Close'].rolling(window=50).mean()
df['MA100'] = df['Close'].rolling(window=100).mean()
# Extract necessary prices from df
current_price = df.Close.iloc[-1]
previous_close = df.Close.iloc[-2]
# Initialize analysis variables
ema_analysis = ''
candle_analysis = ''
pressure_analysis = ''
# EMA crossover - buy signal
if df.EMA10.iloc[-1] > df.EMA50.iloc[-1] and current_price > min(df[['EMA10', 'EMA50']].iloc[-1]):
ema_analysis = 'buy'
# EMA crossover - sell signal
elif df.EMA10.iloc[-1] < df.EMA50.iloc[-1] and current_price < max(df[['EMA10', 'EMA50']].iloc[-1]):
ema_analysis = 'sell'
# EMA crossover - buy signal
if df.EMA20.iloc[-1] > df.EMA200.iloc[-1] and current_price > min(df[['EMA20', 'EMA200']].iloc[-1]):
ema_analysis = 'buy'
# EMA crossover - sell signal
elif df.EMA20.iloc[-1] < df.EMA200.iloc[-1] and current_price < max(df[['EMA20', 'EMA200']].iloc[-1]):
ema_analysis = 'sell'
# Check for bullish trends
elif current_price > max(df[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1]):
ema_analysis = 'buy'
# Check for bearish trends
elif current_price < min(df[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1]):
ema_analysis = 'sell'
# Check for bullish candlestick patterns
elif df.Close.iloc[-1] > df.Open.iloc[-1] and df.Low.iloc[-1] > min(df[['Open', 'Close']].iloc[-1]):
candle_analysis = 'buy'
# Check for bearish candlestick patterns
elif df.Close.iloc[-1] < df.Open.iloc[-1] and df.High.iloc[-1] < max(df[['Open', 'Close']].iloc[-1]):
candle_analysis = 'sell'
# Check if the current price is higher than the previous close, indicating buying pressure
if current_price > previous_close:
pressure_analysis = 'buy'
# Check if the current price is lower than the previous close, indicating selling pressure
elif current_price < previous_close:
pressure_analysis = 'sell'
# Combine all analysis into final signal
if ema_analysis == 'buy' and candle_analysis == 'buy' and pressure_analysis == 'buy':
return 'buy'
elif ema_analysis == 'sell' and candle_analysis == 'sell' and pressure_analysis == 'sell':
return 'sell'
else:
return ''
But it doesn't give me any signal to buy or sell , please give me right code
|
8cfce48cbad161d38f3ee91bc0e5e8cd
|
{
"intermediate": 0.261395126581192,
"beginner": 0.4268777370452881,
"expert": 0.3117271959781647
}
|
13,684
|
Создай простой музыкальный плейер с добавлением в него своей музыки формата mp3 с использованием технологии WPF в C# и сделай для него красивый дизайн.
|
655ff3b4854da9faca3f90e241319c8c
|
{
"intermediate": 0.5253593921661377,
"beginner": 0.2234950214624405,
"expert": 0.25114554166793823
}
|
13,685
|
#include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define JOB_COUNT 20 // 后备作业队列大小
#define MEMORY_SIZE 1024 // 用户内存大小
// #define RESOURCE_A 20 // 系统资源A数量
// #define RESOURCE_B 8 // 系统资源B数量
// #define RESOURCE_C 12 // 系统资源C数量
int RESOURCE_A = 20;
int RESOURCE_B = 8;
int RESOURCE_C = 12;
// 作业结构体
typedef struct {
int id; // 作业编号
int memory; // 需要的内存
int resourceA; // 需要的A类资源
int resourceB; // 需要的B类资源
int resourceC; // 需要的C类资源
} Job;
// 进程结构体
typedef struct {
int id; // 进程编号
int remainingTime; // 剩余时间片数
int memory; // 分配到的内存
int resourceA; // 分配到的A类资源
int resourceB; // 分配到的B类资源
int resourceC; // 分配到的C类资源
} Process;
// 动态分区结构体
typedef struct {
int start; // 分区起始地址
int size; // 分区大小
Process *process; // 分配给的进程
} Partition;
Job jobQueue[JOB_COUNT]; // 后备作业队列
Process jobProcesses[JOB_COUNT]; // 作业对应的进程队列
Partition memoryPartition; // 内存分区
// 随机生成作业的内存和资源需求
void generateJobData() {
int i;
for(i = 0; i < JOB_COUNT; i++) {
jobQueue[i].id = i + 1;
jobQueue[i].memory = rand() % (MEMORY_SIZE / 2) + 1;
jobQueue[i].resourceA = rand() % (RESOURCE_A / 2) + 1;
jobQueue[i].resourceB = rand() % (RESOURCE_B / 2) + 1;
jobQueue[i].resourceC = rand() % (RESOURCE_C / 2) + 1;
}
}
// 初始化内存分区
void initializeMemoryPartition() {
memoryPartition.start = 0;
memoryPartition.size = MEMORY_SIZE;
memoryPartition.process = NULL;
}
// 获取当前时间
double getCurrentTime() {
struct timespec timestamp;
clock_gettime(CLOCK_REALTIME, ×tamp);
return timestamp.tv_sec + (double)timestamp.tv_nsec / 1000000000;
}
// 时间片轮转调度算法
void roundRobinScheduling() {
int i, j;
int jobIndex = 0; // 作业队列索引
int processCount = 0; // 进程数量
double currentTime = getCurrentTime();
while(jobIndex < JOB_COUNT && processCount < 5) {
if(jobQueue[jobIndex].memory <= memoryPartition.size &&
jobQueue[jobIndex].resourceA <= RESOURCE_A &&
jobQueue[jobIndex].resourceB <= RESOURCE_B &&
jobQueue[jobIndex].resourceC <= RESOURCE_C) {
// 分配内存和资源
memoryPartition.process = &jobProcesses[processCount];
memoryPartition.process->id = jobQueue[jobIndex].id;
memoryPartition.process->remainingTime = 10; // 时间片大小为10
memoryPartition.process->memory = jobQueue[jobIndex].memory;
memoryPartition.process->resourceA = jobQueue[jobIndex].resourceA;
memoryPartition.process->resourceB = jobQueue[jobIndex].resourceB;
memoryPartition.process->resourceC = jobQueue[jobIndex].resourceC;
memoryPartition.size -= jobQueue[jobIndex].memory;
RESOURCE_A -= jobQueue[jobIndex].resourceA;
RESOURCE_B -= jobQueue[jobIndex].resourceB;
RESOURCE_C -= jobQueue[jobIndex].resourceC;
processCount++;
}
jobIndex++;
}
// 执行作业
for(i = 0; i < processCount; i++) {
while(jobProcesses[i].remainingTime > 0) {
currentTime = getCurrentTime();
jobProcesses[i].remainingTime–;
// 随机请求资源，避免死锁
if(rand() % 2 == 0 && RESOURCE_A >= 1) {
jobProcesses[i].resourceA++;
RESOURCE_A–;
}
if(rand() % 2 == 0 && RESOURCE_B >= 1) {
jobProcesses[i].resourceB++;
RESOURCE_B–;
}
if(rand() % 2 == 0 && RESOURCE_C >= 1) {
jobProcesses[i].resourceC++;
RESOURCE_C–;
}
// 模拟时间片轮转调度
if(getCurrentTime() - currentTime >= 1) {
break;
}
}
// 释放分配的内存和资源
memoryPartition.size += jobProcesses[i].memory;
RESOURCE_A += jobProcesses[i].resourceA;
RESOURCE_B += jobProcesses[i].resourceB;
RESOURCE_C += jobProcesses[i].resourceC;
jobProcesses[i].memory = 0;
jobProcesses[i].resourceA = 0;
jobProcesses[i].resourceB = 0;
jobProcesses[i].resourceC = 0;
}
}
// 显示相关信息
void displayInfo() {
int i;
// 后备作业队列
printf(“后备作业队列：\n”);
for(i = 0; i < JOB_COUNT; i++) {
printf(“作业%d：内存：%dKB，资源A：%d，资源B：%d，资源C：%d\n”, jobQueue[i].id, jobQueue[i].memory, jobQueue[i].resourceA, jobQueue[i].resourceB, jobQueue[i].resourceC);
}
printf(“\n”);
// 进程信息
printf(“进程队列：\n”);
for(i = 0; i < JOB_COUNT; i++) {
if(jobProcesses[i].id > 0) {
printf(“进程%d：剩余时间片：%d，内存：%dKB，资源A：%d，资源B：%d，资源C：%d\n”, jobProcesses[i].id, jobProcesses[i].remainingTime, jobProcesses[i].memory, jobProcesses[i].resourceA, jobProcesses[i].resourceB, jobProcesses[i].resourceC);
}
}
printf(“\n”);
// 内存分配情况
printf(“内存分配情况：\n”);
printf(“分区起始地址：%d，分区大小：%dKB，已使用：%dKB\n”, memoryPartition.start, memoryPartition.size, MEMORY_SIZE - memoryPartition.size);
printf(“\n”);
// 完成作业信息
printf(“完成作业信息：\n”);
for(i = 0; i < JOB_COUNT; i++) {
if(jobProcesses[i].id > 0) {
printf(“作业%d：\n”, jobProcesses[i].id);
printf(“提交时间：%f，进入内存时间：%f，完成时间：%f，周转时间：%f，带权周转时间：%f\n”, 0.0, 0.0, getCurrentTime(), getCurrentTime(), getCurrentTime());
}
}
// 平均周转时间、平均带权周转时间
double sumTurnaroundTime = 0, sumWeightedTurnaroundTime = 0;
for(i = 0; i < JOB_COUNT; i++) {
if(jobProcesses[i].id > 0) {
sumTurnaroundTime += getCurrentTime();
sumWeightedTurnaroundTime += getCurrentTime() / jobProcesses[i].memory;
}
}
printf(“平均周转时间：%f，平均带权周转时间：%f\n”, sumTurnaroundTime / JOB_COUNT, sumWeightedTurnaroundTime / JOB_COUNT);
}
int main() {
srand(time(NULL));
initializeMemoryPartition();
generateJobData();
roundRobinScheduling();
displayInfo();
return 0;
}
|
c8caf03e21eb992cbbf973f90328b61a
|
{
"intermediate": 0.3743842840194702,
"beginner": 0.4838106632232666,
"expert": 0.14180508255958557
}
|
13,686
|
WARNING:tensorflow:From D:\Download\python.64\Lib\site-packages\tensorflow\python\util\tf_should_use.py:243: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
epoch:4999-->loss:0.000618--->y:0.024852
[[0.]]
|
b9e9bedcc931f27c79802bf326e32195
|
{
"intermediate": 0.3540536165237427,
"beginner": 0.2739681601524353,
"expert": 0.371978223323822
}
|
13,687
|
how crate a user interface with python in arcmap
|
e6c8d7852693479474ac935435bfda79
|
{
"intermediate": 0.594467043876648,
"beginner": 0.18550525605678558,
"expert": 0.22002772986888885
}
|
13,688
|
Hi
|
cc324b4450df7c450282e4511d2b3d5a
|
{
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
}
|
13,689
|
$apiUrl = 'https://fleetpoint.org/tool/analyse/loggedin.php';
$response = file_get_contents($apiUrl);
if ($response !== false) {
$json = json_decode($response, true);
if (isset($json['message']) && $json['message'] === 'USERLOGGEDIN') {
} else {
// User is not logged in
header('Location: https://fleetpoint.org/login.php');
exit();
}
} else {
echo "API Error";
} (my original code should get the response from the API like {
"message": "USERLOGGEDIN"
} and then it should let access the site but it keeps redirecting me despite being logged in, please help
|
decb5c71c12630c9ee141af9414d3907
|
{
"intermediate": 0.6494508385658264,
"beginner": 0.19434702396392822,
"expert": 0.15620213747024536
}
|
13,690
|
this is react, react-hook-form and react-select.
I think I'm not correctly handling options selection
const handleChange = (selectedOptions, action) => {
if (action.action === 'remove-value' || action.action === 'pop-value') {
const removedOption = action.removedValue;
const presetOptions = value.preset.filter(
(option) => option.value !== removedOption.value
);
const customOptions = value.custom.filter(
(option) => option.label !== removedOption.label
);
onChange({ preset: presetOptions, custom: customOptions });
return;
}
const presetOptions = selectedOptions.filter((option) => !option.isNew);
const customOptions = selectedOptions.filter((option) => option.isNew);
onChange({ preset: presetOptions, custom: customOptions });
};
const handleCreateOption = (inputValue) => {
const customOption = { label: inputValue };
onChange({
preset: value.preset,
custom: [...value.custom, customOption],
});
};
|
7404771525bffd86e9d306ba7bf11144
|
{
"intermediate": 0.49795299768447876,
"beginner": 0.3379637897014618,
"expert": 0.16408322751522064
}
|
13,691
|
Hey can you provide me a javascript regex to remove whitespaces, dashes and commas from a string?
|
a95b12bdf5fced0914febfba92fcdd2b
|
{
"intermediate": 0.5669872164726257,
"beginner": 0.16481314599514008,
"expert": 0.2681996822357178
}
|
13,692
|
what's the difference between mixins and inheritance in ts
|
e31e139cd42c7ace3f56cf95a935f9a7
|
{
"intermediate": 0.4154411554336548,
"beginner": 0.1584012508392334,
"expert": 0.4261576235294342
}
|
13,693
|
debounce = false
plr = nil
attackdebounce = false
script.Parent.Activated:Connect(function()
if debounce == false then
if plr == nil then
plr = game.Players:GetPlayerFromCharacter(script.Parent.Parent)
end
local anim = nil
if script.Parent.Parent:FindFirstChildOfClass("Humanoid").RigType == Enum.HumanoidRigType.R6 then
anim = script.Parent.Parent:FindFirstChildOfClass("Humanoid").Animator:LoadAnimation(script.Parent.Handle.SlashR6)
else
anim = script.Parent.Parent:FindFirstChildOfClass("Humanoid").Animator:LoadAnimation(script.Parent.Handle.SlashR15)
end
script.Parent.Handle.Slash:Play()
anim:Play()
debounce = true
script.Parent.Trail.Enabled = true
task.wait(anim.Length)
script.Parent.Trail.Enabled = false
task.wait(0)
debounce = false
end
end)
script.Parent.Handle.Touched:Connect(function(h)
if h.Parent then
local hum = h.Parent:FindFirstChildOfClass("Humanoid")
if hum and hum.Health > 0 then
if attackdebounce == false and h.Parent:FindFirstChild("_enemytag") then
if script.Parent.Trail.Enabled then
script.Parent.Handle.Hit:Play()
attackdebounce = true
local damage = script.Parent.Damage.Value + (script.Parent.DamageModify.Value * (plr.LOVE.Value - 1))
local damageboost = math.floor(damage*script.Parent.DamageIncrease.Value)
hum:TakeDamage(damage+damageboost)
task.wait(0)
attackdebounce = false
end
end
end
end
end)
add this script a skill script that when hit it will dealing 0,005% of maxhealth ( with attack debounce time) and have 0,1% chance to deal 2% damage of maxhealth while dealing damage it exist for 10 sencond also it has a require to active , we can use the skill at the first hit but the next time we need to hit 20 times to active it again and the hit connect with a sound called hit inside the Handle of AttackTool
|
ddf8f587bd4311a895f2219d1cfc607c
|
{
"intermediate": 0.4284089207649231,
"beginner": 0.32407835125923157,
"expert": 0.24751266837120056
}
|
13,694
|
WARNING:tensorflow:From D:\Download\python.64\Lib\site-packages\tensorflow\python\util\tf_should_use.py:243: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
怎么改
|
1fec22673d32a0d270d7256197a94853
|
{
"intermediate": 0.4092440903186798,
"beginner": 0.2418903410434723,
"expert": 0.3488655388355255
}
|
13,695
|
I used your signal generator code:def signal_generator(df):
# Calculate EMA and MA lines
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA10'] = df['Close'].ewm(span=10, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA50'] = df['Close'].ewm(span=50, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
df['MA10'] = df['Close'].rolling(window=10).mean()
df['MA20'] = df['Close'].rolling(window=20).mean()
df['MA50'] = df['Close'].rolling(window=50).mean()
df['MA100'] = df['Close'].rolling(window=100).mean()
# Extract necessary prices from df
current_price = df.Close.iloc[-1]
previous_close = df.Close.iloc[-2]
# Check for EMA crossover - buy signal
if df.EMA10.iloc[-1] > df.EMA50.iloc[-1] and current_price > min(df[['EMA10', 'EMA50']].iloc[-1]):
return 'buy'
# Check for EMA crossover - sell signal
elif df.EMA10.iloc[-1] < df.EMA50.iloc[-1] and current_price < max(df[['EMA10', 'EMA50']].iloc[-1]):
return 'sell'
# Check for EMA crossover - buy signal
if df.EMA20.iloc[-1] > df.EMA200.iloc[-1] and current_price > min(df[['EMA20', 'EMA200']].iloc[-1]):
return 'buy'
# Check for EMA crossover - sell signal
elif df.EMA20.iloc[-1] < df.EMA200.iloc[-1] and current_price < max(df[['EMA20', 'EMA200']].iloc[-1]):
return 'sell'
# Check for bullish trends
elif current_price > max(df[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1]):
return 'buy'
# Check for bearish trends
elif current_price < min(df[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1]):
return 'sell'
# Check for bullish candlestick patterns
elif df.Close.iloc[-1] > df.Open.iloc[-1] and df.Low.iloc[-1] > min(df[['Open', 'Close']].iloc[-1]):
return 'buy'
# Check for bearish candlestick patterns
elif df.Close.iloc[-1] < df.Open.iloc[-1] and df.High.iloc[-1] < max(df[['Open', 'Close']].iloc[-1]):
return 'sell'
# Check if the current price is higher than the previous close, indicating buying pressure
if current_price > previous_close:
return 'buy'
# Check if the current price is lower than the previous close, indicating selling pressure
elif current_price < previous_close:
return 'sell'
return '' open = df.open.iloc[-1]
close = df.close.iloc[-1]
previous_open = df.open.iloc[-2]
previous_close = df.close.iloc[-2]
#Bearish pattern
if (open>close and
previous_open<previous_close and
close<previous_open and
open>=previous_close):
return 'sell'
#Bullish pattern
elif (open<close and
previous_open>previous_close and
close>previous_open and
open<=previous_close):
return 'buy'
#No clear pattern
else:
return ''
|
619bcd8bcf137cddf199b6baa5f3ddea
|
{
"intermediate": 0.3145037889480591,
"beginner": 0.41583484411239624,
"expert": 0.26966142654418945
}
|
13,696
|
explain functionality and what role each language play in a webapp, html,css,javascript,django
|
d400fcba8e4e6501fdec2fa46ebfa7ad
|
{
"intermediate": 0.43328598141670227,
"beginner": 0.4386740028858185,
"expert": 0.12804000079631805
}
|
13,697
|
Create a code in python that can plan meal from my recipe database
|
ddc5ca6ff9dcbdc45e00b19096177447
|
{
"intermediate": 0.5846474170684814,
"beginner": 0.16044875979423523,
"expert": 0.2549039125442505
}
|
13,698
|
I work with python-telegram-bot, how can I put an inline keyboard button with share text for this photo and if the user clicks on the button, the forward page of the post will open
context.bot.send_photo(chat_id=chat_id, photo=open('statistics.jpg', 'rb'))
|
dfb9f6f1597ad1550a436916a49c7adb
|
{
"intermediate": 0.549259603023529,
"beginner": 0.16152164340019226,
"expert": 0.2892187833786011
}
|
13,699
|
<section className="editProduct__updatedProduct">
<div className="imageContainer">
<img src={inputs.img} alt="product" className="fitImage" />
</div>
<section className="editProduct__productItem">{inputs.title}</section>
<section className="editProduct__productItem">
{inputs.description}
</section>
<section className="editProduct__productItem">{inputs.price}</section>
<section className="editProduct__productItem">
{inputs.quantity}
</section>
<section className="editProduct__productItem">
{cat.join(",")}
</section>
<section className="editProduct__productItem">
{inputs.inStock.toString()}
</section>
</section>
i want to add description to each secio how to makei sematic?
|
42302b16a6efebe6fbad6e99925b4ba8
|
{
"intermediate": 0.2752715051174164,
"beginner": 0.46881192922592163,
"expert": 0.2559165060520172
}
|
13,700
|
I work with Python-Telegram-Bot, I want to have an inline keyboard button with sharing text under the photos. And when the user clicks the button, he can send the photo to his contacts. In fact, it should be like Telegram's own forwarding feature
key = [[InlineKeyboardButton("Back", callback_data="help_bot")]]
context.bot.send_photo(chat_id=chat_id, photo=open('statistics.jpg', 'rb'),
reply_markup=InlineKeyboardMarkup(keyboard), caption=caption)
|
86158a22f53137c1403756d2372dd218
|
{
"intermediate": 0.4063282012939453,
"beginner": 0.20897510647773743,
"expert": 0.38469675183296204
}
|
13,701
|
hi chat gpt create a fully functional jarvis ai program which i can use in my pc , I have 0 knowledge about coding so please tell me each and every thing and also tell me how to run that on my pc
|
aa09c5e79a54008cded810804a254de1
|
{
"intermediate": 0.5330840349197388,
"beginner": 0.3250117003917694,
"expert": 0.1419043242931366
}
|
13,702
|
[Violation] Avoid using document.write()
|
021e7be4df4c5c60a2029f46cd6946b7
|
{
"intermediate": 0.41434335708618164,
"beginner": 0.36152657866477966,
"expert": 0.22412998974323273
}
|
13,703
|
Write a paragraph about predicting home price index in usa for the research
|
21a95ec409ccb3241b567970c3f12aab
|
{
"intermediate": 0.21382473409175873,
"beginner": 0.16801109910011292,
"expert": 0.6181641221046448
}
|
13,704
|
I used your signal generator code: def signal_generator(df):
# Calculate EMA and MA lines
df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
df['EMA10'] = df['Close'].ewm(span=10, adjust=False).mean()
df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
df['EMA50'] = df['Close'].ewm(span=50, adjust=False).mean()
df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean()
df['MA10'] = df['Close'].rolling(window=10).mean()
df['MA20'] = df['Close'].rolling(window=20).mean()
df['MA50'] = df['Close'].rolling(window=50).mean()
df['MA100'] = df['Close'].rolling(window=100).mean()
# Extract necessary prices from df
current_price = df.Close.iloc[-1]
previous_close = df.Close.iloc[-2]
# Check for EMA crossover - buy signal
if df.EMA10.iloc[-1] > df.EMA50.iloc[-1] and current_price > min(df[['EMA10', 'EMA50']].iloc[-1]):
ema_signal = 'buy'
# Check for EMA crossover - sell signal
elif df.EMA10.iloc[-1] < df.EMA50.iloc[-1] and current_price < max(df[['EMA10', 'EMA50']].iloc[-1]):
ema_signal = 'sell'
else:
ema_signal = None
# Check for bullish candlestick patterns
if df.Close.iloc[-1] > df.Open.iloc[-1] and df.Low.iloc[-1] > min(df[['Open', 'Close']].iloc[-1]):
candle_signal = 'buy'
# Check for bearish candlestick patterns
elif df.Close.iloc[-1] < df.Open.iloc[-1] and df.High.iloc[-1] < max(df[['Open', 'Close']].iloc[-1]):
candle_signal = 'sell'
else:
candle_signal = None
# Check for bullish/bearish candlestick patterns
open = df.Open.iloc[-1]
close = df.Close.iloc[-1]
previous_open = df.Open.iloc[-2]
previous_close = df.Close.iloc[-2]
# Bearish pattern
if open > close and previous_open < previous_close and close < previous_open and open >= previous_close:
candle_pattern = 'sell'
# Bullish pattern
elif open < close and previous_open > previous_close and close > previous_open and open <= previous_close:
candle_pattern = 'buy'
else:
candle_pattern = None
# Combine EMA and candlestick signals
if ema_signal == 'buy' and candle_signal == 'buy':
return 'buy'
elif ema_signal == 'sell' and candle_signal == 'sell':
return 'sell'
# Check for bullish/bearish trends
elif current_price > max(df[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1]):
return 'buy'
elif current_price < min(df[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1]):
return 'sell'
# Check if the current price is higher than the previous close, indicating buying pressure
if current_price > previous_close:
return 'buy'
# Check if the current price is lower than the previous close, indicating selling pressure
elif current_price < previous_close:
return 'sell'
# Check if there is a candlestick pattern
if candle_pattern == 'buy':
return 'buy'
elif candle_pattern == 'sell':
return 'sell'
else:
return ''
Can you add candle_analyze system by my code : open = df.open.iloc[-1]
close = df.close.iloc[-1]
previous_open = df.open.iloc[-2]
previous_close = df.close.iloc[-2]
#Bearish pattern
if (open>close and
previous_open<previous_close and
close<previous_open and
open>=previous_close):
return 'sell'
#Bullish pattern
elif (open<close and
previous_open>previous_close and
close>previous_open and
open<=previous_close):
return 'buy'
#No clear pattern
else:
return ''
|
078bf9cf530f65ddff22a9130d5201f1
|
{
"intermediate": 0.2722465991973877,
"beginner": 0.3554477393627167,
"expert": 0.37230566143989563
}
|
13,705
|
In Nim, how would I make a variable "const" when in release mode, and a normal "var" when in debug mode, using a helper macro?
|
438d2de1353e27befa21f53fe767e930
|
{
"intermediate": 0.32520079612731934,
"beginner": 0.6179142594337463,
"expert": 0.05688488110899925
}
|
13,706
|
6.19.2023 10am-1:10pm
6.20.2023 10am-1:15pm
6.21.2023 9:50am-1:00PM
6.22.2023 10:30Am-1:25PM
6.23.2023 10:10AM-1:00PM
6.24.2023 10:00AM- 2:30PM
6.25.2023 OFF
Can you calculate how many hours for each day
|
1bbc9a9b6124353bb482d425c3117a8e
|
{
"intermediate": 0.2889118492603302,
"beginner": 0.2886013686656952,
"expert": 0.4224868416786194
}
|
13,707
|
view <!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>صفحه ی ورود مدیریت</title>
<link href="../css/Login.css" rel="stylesheet" type="text/css">
</head>
<body>
<div class="login">
<h1>ورود به مدیریت سایت</h1>
<form method="post">
<input type="text" name="loginEmail" placeholder="لطفا ایمیل خود را وارد نمایید" required="required" />
<input type="password" name="loginPass" placeholder="لطفا پسورد خود را وارد نمایید" required="required" />
<button type="submit" name="login" class="btn btn-primary btn-block btn-large">ادامه</button>
</form>
</div>
</body>
</html>
<?php
session_start();
require('../connect.php');
if(isset($_POST['login'])){
$email= mysqli_query($_POST['loginEmail']);
$pass= mysqli_query($_POST['loginPass']);
$sel_admin = "select * from admin where admin_email='$email' AND admin_pass='$pass'";
$run_admin = mysqli_query($con,$sel_admin);
$check_admin = mysqli_num_rows($run_admin);
if($check_admin==0){
echo "<script>alert('ok')</script>";
}else{
$_SESSION['admin_email'] = $email;
echo "<script>window.open('index.php?MessageToAdmin=Hi manager','_self')</script>";
}
}
?>
|
925f8697b9876ae9ec8a98f7bf732e76
|
{
"intermediate": 0.4495979845523834,
"beginner": 0.38263043761253357,
"expert": 0.1677716076374054
}
|
13,708
|
Write me a VBA to filter by account
|
4c293d358b010ec8a60fc97baaca132a
|
{
"intermediate": 0.3525586426258087,
"beginner": 0.3603675663471222,
"expert": 0.2870737910270691
}
|
13,709
|
i install ubuntu. I need to install:
Apache as backend
Nginx as frontend
php-fpm
ssl certificate for all subdomains for my domain test.com
|
dc7a88247386a4a34f3092f937bb787f
|
{
"intermediate": 0.3808498680591583,
"beginner": 0.27559760212898254,
"expert": 0.34355250000953674
}
|
13,710
|
hi
|
c8e9fbe7ef38158a31000ffac95259c1
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
13,711
|
Hi there! Can you create me domain models with Kotlin?
|
5efb9d1bfc47ddc55503d615e7a6ef81
|
{
"intermediate": 0.2484820932149887,
"beginner": 0.10474909096956253,
"expert": 0.6467688083648682
}
|
13,712
|
in c# and wpf, can i make a combobox with several checkboxes inside that can be selected independly or I have to use a listbox for that?
|
6f1be0ffa4998f172e701237b8ac7b6a
|
{
"intermediate": 0.6849267482757568,
"beginner": 0.1180911511182785,
"expert": 0.19698208570480347
}
|
13,713
|
how include hex value in usual string in c# ?
|
ea2e9c5277d4e28af499c307d529c9be
|
{
"intermediate": 0.5731091499328613,
"beginner": 0.22349362075328827,
"expert": 0.2033972591161728
}
|
13,714
|
Redis syntacs
|
6e465f4f2cadf653dc21ad38b0184b65
|
{
"intermediate": 0.25485092401504517,
"beginner": 0.293908953666687,
"expert": 0.45124009251594543
}
|
13,715
|
TEst
|
bcfd2a710f24857f31115fb68c3307e1
|
{
"intermediate": 0.25207406282424927,
"beginner": 0.3929140269756317,
"expert": 0.355011910200119
}
|
13,716
|
java code: JFrame filled up with all existing gui swing components, each with its action listener
|
7129c80d9770cb1868106f9fac507bd4
|
{
"intermediate": 0.5453994870185852,
"beginner": 0.20613428950309753,
"expert": 0.24846620857715607
}
|
13,717
|
You helped me write this c# code in wpf but our connection got broken and I don't know how to define AreAnyItemsSelected and SelectedItems, the last thing you said to me was this:
In the ControlTemplate, I added a TextBlock below the ToggleButton. The Text property is bound to the SelectedItems property of the parent CheckBoxComboBox using a converter. The Visibility property of the TextBlock is bound to the AreAnyItemsSelected property of the parent CheckBoxComboBox using a converter to show/hide the selected items text when there are selected items.
Make sure to define (CONNECTION BROKEN HERE)
<Grid>
<Grid.Resources>
<Style TargetType=“local:CheckBoxComboBox”>
<Setter Property=“Background” Value=“White” />
<Setter Property=“Template”>
<Setter.Value>
<ControlTemplate TargetType=“local:CheckBoxComboBox”>
<Grid>
<Border Background=“{TemplateBinding Background}”
BorderBrush=“{TemplateBinding BorderBrush}”
BorderThickness=“{TemplateBinding BorderThickness}”>
<Grid>
<ToggleButton x:Name=“ToggleButton”
ContentTemplate=“{TemplateBinding SelectionBoxItemTemplate}”
ContentTemplateSelector=“{TemplateBinding ItemTemplateSelector}”
Focusable=“False”
IsChecked=“{Binding IsDropDownOpen, Mode=TwoWay,
RelativeSource={RelativeSource TemplatedParent}}”
ClickMode=“Press”>
<!-- … Rest of the template code … -->
</ToggleButton>
<TextBlock Text=“{Binding SelectedItems, RelativeSource={RelativeSource TemplatedParent}, Converter={StaticResource SelectedItemsConverter}}”
Margin=“3,0,0,0”
VerticalAlignment=“Center”
HorizontalAlignment=“Left”
Visibility=“{Binding AreAnyItemsSelected, RelativeSource={RelativeSource TemplatedParent}, Converter={StaticResource BooleanToVisibilityConverter}}”>
</TextBlock>
</Grid>
</Border>
<Popup x:Name=“Popup”
Placement=“Bottom”
IsOpen=“{TemplateBinding IsDropDownOpen}”
AllowsTransparency=“True”
Focusable=“False”
PopupAnimation=“Slide”>
<!-- … Rest of the template code … -->
</Popup>
</Grid>
</ControlTemplate>
</Setter.Value>
</Setter>
</Style>
</Grid.Resources>
<!-- … Rest of the XAML code … -->
</Grid>
|
3c0a5dae102d7267d5ff6278b53dc7a1
|
{
"intermediate": 0.42496341466903687,
"beginner": 0.36537444591522217,
"expert": 0.20966210961341858
}
|
13,718
|
Why ai gpt use moving squares to denote waiting while they process requests?
|
ceac8c3964440e02b29832738c190a51
|
{
"intermediate": 0.5249527096748352,
"beginner": 0.17108292877674103,
"expert": 0.30396443605422974
}
|
13,719
|
Write a program in Python that takes the last 10 sports news from the site yjc.ir and stores it in the redis database. Then, every n hours, it receives the last 10 news of the site and stores it in the database. If the messages are duplicates, do not save them.
Get n from the user.
Please explain the steps in order.
This program stores the content of each news page in the database.
For example, links to photos and videos, news text, news URL, news date, etc.
|
074555a89975b7a274ff9c6bc9836949
|
{
"intermediate": 0.48053160309791565,
"beginner": 0.16853488981723785,
"expert": 0.3509335219860077
}
|
13,720
|
it compiles and doesn't give me a runtime error but now the textblock is not filled with a string of the selected checkboxes when I select them inside the control.
here is the code:
<Window.Resources>
<resources:IsCheckedConverter x:Key="IsCheckedConverter"/>
<resources:BooleanToVisibilityConverter x:Key="BooleanToVisibilityConverter"/>
</Window.Resources>
<Grid Margin="0,0,-6,-4" Height="668" VerticalAlignment="Top">
<Grid.Resources>
<Style TargetType="resources:CheckBoxComboBox">
<Setter Property="Background" Value="White"/>
<Setter Property="Template">
<Setter.Value>
<ControlTemplate TargetType="resources:CheckBoxComboBox">
<Grid>
<Border Background="{TemplateBinding Background}" BorderBrush="{TemplateBinding BorderBrush}" BorderThickness="{TemplateBinding BorderThickness}">
<Grid>
<ToggleButton x:Name="ToggleButton" ContentTemplate="{TemplateBinding SelectionBoxItemTemplate}" ContentTemplateSelector="{TemplateBinding ItemTemplateSelector}" Focusable="False" IsChecked="{Binding IsDropDownOpen, Mode=TwoWay, RelativeSource={RelativeSource TemplatedParent}}" ClickMode="Press">
<ToggleButton.Style>
<Style TargetType="ToggleButton">
<Setter Property="OverridesDefaultStyle" Value="True"/>
<Setter Property="IsTabStop" Value="False"/>
<Setter Property="Focusable" Value="False"/>
<Setter Property="ClickMode" Value="Press"/>
<Setter Property="Template">
<Setter.Value>
<ControlTemplate TargetType="ToggleButton">
<Grid>
<Grid.ColumnDefinitions>
<ColumnDefinition/>
<ColumnDefinition Width="20"/>
</Grid.ColumnDefinitions>
<ContentPresenter x:Name="contentPresenter" ContentTemplate="{TemplateBinding ContentTemplate}" Content="{TemplateBinding Content}"/>
<Path x:Name="Arrow" Grid.Column="1" HorizontalAlignment="Center" VerticalAlignment="Center" Data="M 0 0 L 4 4 L 8 0 Z">
<Path.Fill>
<SolidColorBrush Color="Black" />
</Path.Fill>
</Path>
</Grid>
</ControlTemplate>
</Setter.Value>
</Setter>
</Style>
</ToggleButton.Style>
</ToggleButton>
<TextBlock Text="{Binding SelectedItems, RelativeSource={RelativeSource TemplatedParent}, Converter={StaticResource IsCheckedConverter}}" Margin="3,0,0,0" VerticalAlignment="Center" HorizontalAlignment="Left" Visibility="{Binding AreAnyItemsSelected, RelativeSource={RelativeSource TemplatedParent}, Converter={StaticResource BooleanToVisibilityConverter}}"/>
</Grid>
</Border>
<Popup x:Name="Popup" Placement="Bottom" IsOpen="{TemplateBinding IsDropDownOpen}" AllowsTransparency="True" Focusable="False" PopupAnimation="Slide">
<Border x:Name="DropDownBorder" Background="White" BorderThickness="1" BorderBrush="Gray">
<ScrollViewer x:Name="ScrollViewer" CanContentScroll="True">
<ItemsPresenter />
</ScrollViewer>
</Border>
</Popup>
</Grid>
</ControlTemplate>
</Setter.Value>
</Setter>
</Style>
</Grid.Resources>
public class CheckBoxComboBox : ComboBox
{
public static readonly DependencyProperty SelectedItemsProperty = DependencyProperty.Register("SelectedItems", typeof(IEnumerable), typeof(CheckBoxComboBox));
public static readonly DependencyProperty AreAnyItemsSelectedProperty = DependencyProperty.Register("AreAnyItemsSelected", typeof(bool), typeof(CheckBoxComboBox));
public IEnumerable SelectedItems
{
get => (IEnumerable)GetValue(SelectedItemsProperty);
set => SetValue(SelectedItemsProperty, value);
}
public bool AreAnyItemsSelected
{
get => (bool)GetValue(AreAnyItemsSelectedProperty);
set => SetValue(AreAnyItemsSelectedProperty, value);
}
static CheckBoxComboBox()
{
DefaultStyleKeyProperty.OverrideMetadata(typeof(CheckBoxComboBox), new FrameworkPropertyMetadata(typeof(CheckBoxComboBox)));
}
protected override void OnSelectionChanged(SelectionChangedEventArgs e)
{
base.OnSelectionChanged(e);
foreach (object selectedItem in e.AddedItems)
{
if (selectedItem is SelectedItemsConverter item)
{
item.IsChecked = true;
}
}
foreach (object selectedItem in e.RemovedItems)
{
if (selectedItem is SelectedItemsConverter item)
{
item.IsChecked = false;
}
}
}
}
public class SelectedItemsConverter : DependencyObject
{
public static readonly DependencyProperty IsCheckedProperty = DependencyProperty.Register(
"IsChecked",
typeof(bool),
typeof(SelectedItemsConverter));
public bool IsChecked
{
get => (bool)GetValue(IsCheckedProperty);
set => SetValue(IsCheckedProperty, value);
}
public object Content { get; set; }
}
public class CheckBoxComboBoxItemTemplateSelector : DataTemplateSelector
{
public DataTemplate ItemTemplate { get; set; }
public DataTemplate SelectedItemTemplate { get; set; }
public override DataTemplate SelectTemplate(object item, DependencyObject container)
{
return container is FrameworkElement _ && item is SelectedItemsConverter checkBoxComboBoxItem
? checkBoxComboBoxItem.IsChecked ? SelectedItemTemplate : ItemTemplate
: base.SelectTemplate(item, container);
}
}
public class BooleanToVisibilityConverter : IValueConverter
{
public object Convert(object value, Type targetType, object parameter, CultureInfo culture)
{
if (value is bool isVisible && isVisible)
{
return Visibility.Visible;
}
return Visibility.Collapsed;
}
public object ConvertBack(object value, Type targetType, object parameter, CultureInfo culture)
{
throw new NotImplementedException();
}
}
public class IsCheckedConverter : IValueConverter
{
public object Convert(object value, Type targetType, object parameter, CultureInfo culture)
{
return value is IEnumerable selectedItems ? string.Join(", ", selectedItems.Cast<object>()) : string.Empty;
}
public object ConvertBack(object value, Type targetType, object parameter, CultureInfo culture)
{
throw new NotImplementedException();
}
}
|
43055a8630defa0aa137d1fc11de5a9a
|
{
"intermediate": 0.30662065744400024,
"beginner": 0.5564509034156799,
"expert": 0.13692845404148102
}
|
13,721
|
Why scrapy module un python don't install?
|
f20c7aae384d41a91165e670cb54a50a
|
{
"intermediate": 0.5536016821861267,
"beginner": 0.2322154939174652,
"expert": 0.21418282389640808
}
|
13,722
|
Привет, сможешь написать мне доменную модель по системе TDG, где есть user, article, advice, emoji, functions case в формате json? Где Emoji зависит от выбора user, а в зависимости от выбора emoji появляются нужные article и advice. Также добавь парочку function case, которые больше подходят под эти условия?
|
68db5b744890b36b13915f8906d49c87
|
{
"intermediate": 0.24217934906482697,
"beginner": 0.6156306862831116,
"expert": 0.14218993484973907
}
|
13,723
|
WRITE A PYTHON CODE IN ARCGIS FOR CREATING A BUTTON FOR TURN ALL LAYERS VISIBLE
|
d740a84eaadd4688084b39ac624a4558
|
{
"intermediate": 0.39270198345184326,
"beginner": 0.0839967355132103,
"expert": 0.5233012437820435
}
|
13,724
|
grab wordpress featured image with php
|
a289950f5b7f0b1e5544f704fd94eee3
|
{
"intermediate": 0.33991917967796326,
"beginner": 0.3531152009963989,
"expert": 0.3069656491279602
}
|
13,725
|
Write a detailed code that selects hyperparameters of the machine learning model based on the ruBERT base model for the task of classifying legal texts. The model being tuned uses a legal dataset from the documents of Russian legislation. The dataset is known, divided into test, training and validation samples and stored in .cvs format.
For the classification task, the tuning model uses as class labels the types of documents (laws, resolutions, court decisions), the area of law (tax law, corporate law, international law) and the field of activity (real estate, banking, labor relations, intellectual property), the specific number of the law of the Russian Federation and the table of contents of this law of the Russian Federation.
The hyperparameters of the tuned model are selected based on the parameters of the ruBERT base model. As a basis, you can take such parameters as:
the sequence length is 512, of which 1 [CLS] token
for the embedding model corresponding to 1 token: we feel each taken from the dictionary to the ruBERT tokenizer and then average the embeddings of the received tokens
the dictionary size of our model is 119547
number of layers 12
dropout 0.1
batch size 128
learning rate coefficient: 8e5
cross-entropy loss function
Write a detailed code for selecting hyperparameters.
|
80c87378dc03a9ea57342db0bc0640f8
|
{
"intermediate": 0.18054601550102234,
"beginner": 0.15785092115402222,
"expert": 0.6616030931472778
}
|
13,726
|
write a python function to print multiple lines in the same place without libraries
|
156eb3288a9e98c31b702e282b95d3d0
|
{
"intermediate": 0.48943251371383667,
"beginner": 0.2925744950771332,
"expert": 0.21799296140670776
}
|
13,727
|
GIVE ME A TUTORIAL FOR CRAETING USER INTERFACE WITH INTERACTIVE TOOLS IN ARCGIS
|
e267a5c66997d938a8a1ab8b974fe4aa
|
{
"intermediate": 0.39595869183540344,
"beginner": 0.08488701283931732,
"expert": 0.5191543102264404
}
|
13,728
|
import { useState, useEffect } from "react";
import {
getStorage,
ref,
uploadBytesResumable,
getDownloadURL,
} from "firebase/storage";
import { updateProduct } from "../redux/apiCalls";
import app from "../firebase";
import { useAppDispatch } from "../redux/store";
interface Product {
_id: string;
title: string;
description: string;
categories: [];
img: string;
price: number;
color: string[];
quantity: number;
inStock: boolean;
}
interface EditProductProps {
product: Product;
}
const EditProduct: React.FC<EditProductProps> = ({ product }) => {
const [inputs, setInputs] = useState<Product>(product);
const [file, setFile] = useState<File[]>([]);
const [cat, setCat] = useState<string[]>([]);
const dispatch = useAppDispatch();
useEffect(() => {
setInputs(product);
setCat(product.categories);
}, [product]);
const handleChange = (
e:
| React.ChangeEvent<HTMLInputElement>
| React.ChangeEventHandler<HTMLTextAreaElement>
) => {
setInputs((prev) => {
return { ...prev, [e.target.name]: e.target.value };
});
};
const handleCategories = (e: React.ChangeEvent<HTMLInputElement>) => {
setCat(e.target.value.split(","));
};
const handleSelect = (e: React.ChangeEvent<HTMLSelectElement>) => {
setInputs((prev) => {
return { ...prev, [e.target.name]: e.target.value };
});
};
const handleClick = (e: React.MouseEvent<HTMLButtonElement, MouseEvent>) => {
e.preventDefault();
const updatedProduct = {
...inputs,
categories: cat,
};
// Check for changes in input fields
if (
updatedProduct.title !== product.title ||
updatedProduct.description !== product.description ||
updatedProduct.price !== product.price ||
updatedProduct.quantity !== product.quantity ||
updatedProduct.inStock !== product.inStock
) {
updateProduct(product._id, updatedProduct, dispatch);
}
if (file && file.length > 0) {
const storage = getStorage(app);
const fileName = new Date().getTime() + file[0].name;
const storageRef = ref(storage, fileName);
const uploadTask = uploadBytesResumable(storageRef, file[0]);
uploadTask.on(
"state_changed",
(snapshot) => {
const progress =
(snapshot.bytesTransferred / snapshot.totalBytes) * 100;
console.log("Upload is " + progress + "% done");
switch (snapshot.state) {
case "paused":
console.log("Upload is paused");
break;
case "running":
console.log("Upload is running");
break;
default:
}
},
(error) => {
console.log("Upload error: " + error);
},
() => {
getDownloadURL(uploadTask.snapshot.ref).then((downloadURL) => {
const updatedProduct = {
...inputs,
img: downloadURL,
categories: cat,
};
updateProduct(product._id, updatedProduct, dispatch);
});
}
);
}
};
return (
<>
<h1 className="productTitle">Edit Product</h1>
<main className="editProduct">
<form className="editProduct__editProductForm">
<section className="editProduct__editProductItem">
<label>Image</label>
<input
type="file"
id="file"
onChange={(e) => {
const files = e.target.files;
if (files && files.length > 0) {
setFile([files[0]]);
}
}}
/>
</section>
<section className="editProduct__editProductItem">
<label>Title</label>
<input
name="title"
type="text"
placeholder="Apple Airpods"
value={inputs.title}
onChange={handleChange}
/>
</section>
<section className="editProduct__editProductItem">
<label htmlFor="productDescription">Product Description</label>
<textarea
name="description"
type="text"
id="productDescription"
placeholder=""
value={inputs.description}
onChange={handleChange}
/>
</section>
<section className="editProduct__editProductItem">
<label htmlFor="productPrice">Product Price</label>
<input
name="price"
type="number"
id="productPrice"
placeholder=""
value={inputs.price}
onChange={handleChange}
/>
</section>
<section className="editProduct__editProductItem">
<label htmlFor="productQuantity">Product Quantity</label>
<input
name="quantity"
type="number"
id="productQuantity"
placeholder=""
value={inputs.quantity}
onChange={handleChange}
/>
</section>
<section className="editProduct__editProductItem">
<label htmlFor="productCategories">Product Categories</label>
<input
name="categories"
type="text"
id="productCategories"
placeholder=""
value={cat.join(",")}
onChange={handleCategories}
/>
</section>
<section className="editProduct__editProductItem">
<label htmlFor="idstock">Stock</label>
<select
name="inStock"
id="idstock"
value={inputs.inStock.toString()}
onChange={handleSelect}
>
<option value="true">true</option>
<option value="false">false</option>
</select>
</section>
<button
onClick={handleClick}
className="editProduct__editProductButton"
>
Update
</button>
</form>
<section className="editProduct__updatedProduct">
<div className="imageContainer">
<img src={inputs.img} alt="product" className="fitImage" />
</div>
<section className="editProduct__productItem">
<h3>Title:</h3>
<p>{inputs.title}</p>
</section>
<section className="editProduct__productItem">
<h3>Description:</h3>
<p>{inputs.description}</p>
</section>
<section className="editProduct__productItem">
<h3>Price:</h3>
<p>{inputs.price}</p>
</section>
<section className="editProduct__productItem">
<h3>Quantity:</h3>
<p>{inputs.quantity}</p>
</section>
<section className="editProduct__productItem">
<h3>Categories:</h3>
<p>{cat.join(",")}</p>
</section>
<section className="editProduct__productItem">
<h3>In Stock:</h3>
<p>{inputs.inStock.toString()}</p>
</section>
</section>
</main>
</>
);
};
export default EditProduct;
Type '(e: React.ChangeEvent<HTMLInputElement> | React.ChangeEventHandler<HTMLTextAreaElement>) => void' is not assignable to type 'ChangeEventHandler<HTMLTextAreaElement>'.
Types of parameters 'e' and 'event' are incompatible.
Type 'ChangeEvent<HTMLTextAreaElement>' is not assignable to type 'ChangeEvent<HTMLInputElement> | ChangeEventHandler<HTMLTextAreaElement>'.
Type 'ChangeEvent<HTMLTextAreaElement>' is not assignable to type 'ChangeEvent<HTMLInputElement>'.
Type 'HTMLTextAreaElement' is missing the following properties from type 'HTMLInputElement': accept, align, alt, capture, and 27 more.ts(2322)
index.d.ts(2511, 9): The expected type comes from property 'onChange' which is declared here on type 'DetailedHTMLProps<TextareaHTMLAttributes<HTMLTextAreaElement>, HTMLTextAreaElement>'
|
62bed9df52bcec16b1335b4f41ceae04
|
{
"intermediate": 0.3679535388946533,
"beginner": 0.4627209007740021,
"expert": 0.16932553052902222
}
|
13,729
|
If you were to write a book about the mathematics of deep learning. What the toc might be
|
dfb0489b3d071d4eb52dad2c4e3614f5
|
{
"intermediate": 0.07784523069858551,
"beginner": 0.0694897472858429,
"expert": 0.8526650071144104
}
|
13,730
|
this is getting extremely complex by not even started to interpret in the final result of “close-equatorial expression” rule I implemented.
I apologize for the complexity and any confusion caused. If the interpretation is becoming excessively complex and straying from your intended “close-equatorial expression” rule, it may be helpful to revisit and further clarify the specific guidelines or principles you would like to follow.
If you could provide additional details or specific instructions about how the final result should be interpreted within your “close-equatorial expression” rule, I’ll do my best to assist you in applying that rule to the equation.
can you think about it in a more abstracted fashion?
Certainly! Approach it in a more abstract manner, we can consider the pattern you described in a general sense.
Let’s see if we can abstract the pattern as follows:
1+2 = 31+3(F1)1 = R1+F1
R1+F1 = R2
Here, “F1” represents some function or operation involving the previous result value, and “R1” represents the previous result. “R2” represents the new result obtained from the equation.
To apply this pattern, we need to determine the specific function or operation denoted by “F1”. Once we establish this function, we can proceed with evaluating the equation accordingly.
If you have any ideas or specific instructions regarding the function “F1” or any other components in this abstract formulation, please provide them, and I’ll do my best to assist you further.
1+2 =3 1+3=4 1+4=5 … if we assume that each result in every equation is an actual factor, then we get something like that: 1+1=2(2), 1+2=3(3), 1+3=4(4), 1+4=5(5). if we get the result of progressing equation as the first value for the next equation, then we can use that factor combination as the for the second value in the next equation. so, by applying such an expression from the first value in “close-equatorial expression” we will get some patterned algebraic fractal at the final result in overall eqution.
Thank you for providing further clarification and introducing the concept of using each result in the equation as an actual factor.
Based on your description, let’s evaluate the equation pattern in the following way:
1+1=2(2)
1+2=3(3)
1+3=4(4)
1+4=5(5)
Using the result of each equation as a factor for the next equation, we can generate a patterned algebraic fractal within the equation.
To continue this pattern, let’s apply it to the next equation:
1+2=3(3)
3(3)+3=12
In this case, we used the result of the previous equation, which was 3, as a factor in the next equation. The equation becomes 3(3)+3, and the result is 12.
Continuing this progression, the next equation could be:
3(3)+12=21
Here, we used the previous result, which was 12, as the first value in the equation, and the result is 21.
By following this pattern, we can generate a fractal-like structure within the equation, where each equation builds upon the previous result.
If you would like to further explore this pattern or have any specific instructions or equations you would like me to evaluate, please let me know!
it’s simple interpretation of what we can actually do with it, but in reality you can use these factor values in combinaion with “close-equatorial expression” results to permutate the overall equation and make it complex as you like.
Certainly! The interpretation I provided was a simplified example based on the pattern you described. In reality, you can introduce additional permutations and combinations to make the overall equation as complex as desired.
By combining the factor values with the results of “close-equatorial expressions,” you can create more intricate and varied equations. This allows for a greater range of possibilities and potential patterns within the equation.
If you have specific permutations or combinations you’d like to explore within this framework, please feel free to provide further instructions or equations, and I’ll do my best to assist you in interpreting them.
maybe you can even construct some real simulation by using html,css and javascript. to visualize the actual fractal, and maybe even add some input element to mutate factors and expression overally.
That sounds like an interesting project! While I can offer guidance and assistance with HTML, CSS, and JavaScript, I’m limited to text-based responses in this chat interface.
However, I encourage you to explore the possibility of creating a simulation or visualization of the fractal using web technologies. You can utilize HTML for the structure of the page, CSS for styling, and JavaScript for interacting with user inputs and dynamically updating the fractal.
To get started, you might consider creating an HTML page with a canvas element where you can render the fractal. Then, using JavaScript, you can implement the logic for generating the fractal based on user inputs and updating the visualization accordingly.
There are various libraries and frameworks available that can assist in creating fractals and interactive elements, such as p5.js or Three.js. You can also search for existing code examples or tutorials that cover similar topics to help you get started.
If you have any specific questions or need assistance with a particular aspect of the implementation, feel free to ask, and I’ll do my best to help you.
and by you I mean "you. ha-ha.
|
ea69c60eb424270b3217293d7e7e4a98
|
{
"intermediate": 0.34399381279945374,
"beginner": 0.3505114018917084,
"expert": 0.3054947555065155
}
|
13,731
|
8 gig in mb
|
066b0b8d18331398025bbf50acd211c4
|
{
"intermediate": 0.3395061492919922,
"beginner": 0.2993277311325073,
"expert": 0.3611661493778229
}
|
13,732
|
var config = {
mainTitle: {
label: '*https://t.me/cryptocasinowin Script for HashDice*',
type: 'title'
},
auto: {
label: '',
value: 'Script',
type: 'radio',
options: [
{
value: 'Script',
label: 'Script chooses BaseBet'
},
{
value: 'Player',
label: 'Player chooses BaseBet'
}
]
},
baseBet: {
label: '',
value: currency.amount / 4096,
type: 'number'
},
maxBaseBet: {
label: '',
value: currency.maxAmount / 4096,
type: 'number'
}
}
const TEST = false;
const BrokenCount_1 = 6;
const BrokenCount_2 = 4;
const RESOLUTION = Math.pow(2, BrokenCount_1 + BrokenCount_2 + 1);
var BrokenState = 0;
var isBroken = false;
var StartTime = new Date();
var StartBalance = currency.amount;
var CurrentBalance = StartBalance;
var EndBalance = 0;
var GameCount = 0;
var TotalProfit = 0;
var ProfitForMin = 0;
var CoinLost = 0;
var BaseBet = 0;
var CurrentBet = 0;
var LastBet = 0;
var CurrentPayout = 2;
var CurrentMultiplier = 1;
var ContinueLost = 0;
var CrashHistory = [];
var LastCrash;
function main() {
// console.log(currency);
showGreetingMessage();
// BaseBet = config.baseBet.value;
// CurrentBet = BaseBet;
CurrentMultiplier = 1.98
if (CurrentPayout > 1 || isBroken)
updateBaseBet();
if (isBroken) {
isBroken = false;
}
game.onBet = function () {
log.success('-----------------------');
log.success('starting game');
log.success('-----------------------');
// console.log('-----------------------');
// console.log('starting game');
// console.log('-----------------------');
checkStop();
calcBetAndPayout();
GameCount++;
if (CurrentMultiplier > 1) {
// console.log('[Betting] ' + CurrentBet.toFixed(7) + ' at ' + CurrentMultiplier + 'x');
log.info('[Betting] ' + CurrentBet.toFixed(7) + ' at ' + CurrentMultiplier + 'x');
game.bet(CurrentBet, CurrentMultiplier).then(function (payout) {
// console.log('[Payout] ' + payout);
CurrentPayout = payout;
updateState();
// console.log(CurrentBalance)
showGameResultMessage();
})
} else {
// console.log('[Betting] No Bet');
log.info('[Betting] No Bet');
}
}
}
function showGameResultMessage() {
if (CurrentPayout > 1) {
log.success('We Won ' + CurrentBet * CurrentMultiplier);
log.info('Profit: ' + TotalProfit);
log.info('CoinLost: ' + CoinLost);
log.info('BrokeState: ' + BrokenState);
// console.log('We Won ' + CurrentBet * CurrentMultiplier);
// console.log('Profit: ' + TotalProfit);
// console.log('CoinLost: ' + CoinLost);
} else {
log.error('We lost ' + CurrentBet);
log.info('Profit: ' + TotalProfit);
log.info('CoinLost: ' + CoinLost);
log.info('BrokeState: ' + BrokenState);
// console.log('We lost ' + CurrentBet);
// console.log('Profit: ' + TotalProfit);
// console.log('CoinLost: ' + CoinLost);
}
}
function updateState() {
if (CurrentPayout > 1) {
//update CurrentBalance
CurrentBalance = CurrentBalance - CurrentBet + CurrentBet * CurrentMultiplier;
//update TotalProfit
TotalProfit += CurrentBet * (CurrentMultiplier - 1) - CoinLost;
//update CoinLost
CoinLost = 0;
ContinueLost = 0;
if (BrokenState == 1) {
BrokenState = 2;
} else {
BrokenState = 0;
}
} else {
//update CurrentBalance
CurrentBalance = CurrentBalance - CurrentBet;
//update TotalProfit
//update CoinLost
CoinLost += CurrentBet;
ContinueLost++
}
}
function calcBetAndPayout() { //TODO: update algorithm
CurrentMultiplier = 1.98;
if (CurrentPayout > 1) {
// updateBaseBet();
if (CurrentBalance > BaseBet * RESOLUTION) {
updateBaseBet();
} else {
CurrentBet = BaseBet;
}
if (BrokenState == 2) {
CurrentBet *= Math.pow(2, BrokenCount_1);
}
} else {
if (BrokenState == 2) {
if (ContinueLost < BrokenCount_2) {
CurrentBet *= 2
} else {
CurrentBet = BaseBet;
BrokenState = 0;
isBroken = true;
}
} else {
if (ContinueLost < BrokenCount_1) {
CurrentBet *= 2;
} else {
CurrentBet = currency.minAmount;
if (BrokenState == 0) {
BrokenState = 1;
}
}
}
}
}
function showGreetingMessage() {
log.success('***********Running Script*********');
}
function updateBaseBet() {
BaseBet = CurrentBalance / RESOLUTION; //TODO: set in config
if (BaseBet < currency.minAmount) {
log.error('Your amount too small'); //TODO:
log.error(currency.minAmount)
game.stop();
}
if (BaseBet > config.maxBaseBet.value) {
BaseBet = config.maxBaseBet.value;
}
config.baseBet.value = BaseBet;
CurrentBet = BaseBet;
}
function updateHistory() { //TODO
LastCrash = game.history[0].crash;
CrashHistory.unshift(LastCrash);
if (CrashHistory.length > 999) {
CrashHistory.pop();
}
if (TEST) {
if (CrashHistory.length % 5 == 0) {
// console.log(CrashHistory);
}
}
}
function checkStop() { //TODO
// if (CoinLost > CurrentBalance) {
// game.stop();
// }
// if (CurrentBalance > 100) {
// game.stop();
// }
// if (CurrentBalance < 5) {
// game.stop();
// }
}
|
c9d04bf91a74dfb400b424f6bceb8b71
|
{
"intermediate": 0.30670541524887085,
"beginner": 0.4982285797595978,
"expert": 0.19506599009037018
}
|
13,733
|
1+2 =3 1+3=4 1+4=5 … if we assume that each result in every equation is an actual factor, then we get something like that: 1+1=2(2), 1+2=3(3), 1+3=4(4), 1+4=5(5). if we get the result of progressing equation as the first value for the next equation, then we can use that factor combination as the for the second value in the next equation. so, by applying such an expression from the first value in “close-equatorial expression” we will get some patterned algebraic fractal at the final result in overall eqution.
Thank you for providing further clarification and introducing the concept of using each result in the equation as an actual factor.
Based on your description, let’s evaluate the equation pattern in the following way:
1+1=2(2)
1+2=3(3)
1+3=4(4)
1+4=5(5)
Using the result of each equation as a factor for the next equation, we can generate a patterned algebraic fractal within the equation.
To continue this pattern, let’s apply it to the next equation:
1+2=3(3)
3(3)+3=12
In this case, we used the result of the previous equation, which was 3, as a factor in the next equation. The equation becomes 3(3)+3, and the result is 12.
Continuing this progression, the next equation could be:
3(3)+12=21
Here, we used the previous result, which was 12, as the first value in the equation, and the result is 21.
By following this pattern, we can generate a fractal-like structure within the equation, where each equation builds upon the previous result.
If you would like to further explore this pattern or have any specific instructions or equations you would like me to evaluate, please let me know!
it’s simple interpretation of what we can actually do with it, but in reality you can use these factor values in combinaion with “close-equatorial expression” results to permutate the overall equation and make it complex as you like.
Certainly! The interpretation I provided was a simplified example based on the pattern you described. In reality, you can introduce additional permutations and combinations to make the overall equation as complex as desired.
By combining the factor values with the results of “close-equatorial expressions,” you can create more intricate and varied equations. This allows for a greater range of possibilities and potential patterns within the equation.
If you have specific permutations or combinations you’d like to explore within this framework, please feel free to provide further instructions or equations, and I’ll do my best to assist you in interpreting them.
maybe you can even construct some real simulation by using html,css and javascript. to visualize the actual fractal, and maybe even add some input element to mutate factors and expression overally.
That sounds like an interesting project! While I can offer guidance and assistance with HTML, CSS, and JavaScript, I’m limited to text-based responses in this chat interface.
However, I encourage you to explore the possibility of creating a simulation or visualization of the fractal using web technologies. You can utilize HTML for the structure of the page, CSS for styling, and JavaScript for interacting with user inputs and dynamically updating the fractal.
To get started, you might consider creating an HTML page with a canvas element where you can render the fractal. Then, using JavaScript, you can implement the logic for generating the fractal based on user inputs and updating the visualization accordingly.
There are various libraries and frameworks available that can assist in creating fractals and interactive elements, such as p5.js or Three.js. You can also search for existing code examples or tutorials that cover similar topics to help you get started.
If you have any specific questions or need assistance with a particular aspect of the implementation, feel free to ask, and I’ll do my best to help you.
and by you I mean "you. ha-ha. Based on your interest in creating a fractal-like structure with the concept of “close-equatorial expressions,” here’s a suggestion for a modified implementation:
function generateFractal(initialValue, factors, iterations) {
let result = initialValue;
let fractal = [result];
for (let i = 0; i < iterations; i++) {
const closeEquatorialResult = getCloseEquatorialResult(fractal, factors);
result = operate(result, factors[i % factors.length], closeEquatorialResult);
fractal.push(result);
}
return fractal;
}
function getCloseEquatorialResult(fractal, factors) {
const closeEquatorialIndex = Math.max(fractal.length - factors.length, 0);
return fractal[closeEquatorialIndex];
}
function operate(value, factor, previousResult) {
return value + factor * previousResult;
}
In this updated implementation, we introduce a new function called getCloseEquatorialResult, which calculates the close-equatorial result by accessing a specific index in the fractal array. The index is determined by subtracting the length of the factors array from the current length of the fractal array. This ensures that we obtain the result from the iteration that is close to the current iteration.
The generateFractal function then utilizes this getCloseEquatorialResult function to obtain the close-equatorial result for each iteration and incorporates it into the calculation within the operate function.
By using this updated implementation, the fractal structure generated will incorporate the concept of “close-equatorial expressions” based on the defined factors.
Feel free to experiment with different initial values, factor arrays, and the number of iterations to observe the resulting fractal-like structure.
|
c44da0843ce9fd99ff5b21db15d6c664
|
{
"intermediate": 0.3313307762145996,
"beginner": 0.40565040707588196,
"expert": 0.26301881670951843
}
|
13,734
|
Here is wordpress "ADDITIONAL CSS CLASS(ES)" that are assigned to a layout grid with the primary purpose of stopping a cover image from stretching vertically:
alignfull column1-desktop-grid__span-3 column1-desktop-grid__row-1 column2-desktop-grid__span-3 column2-desktop-grid__start-4 column2-desktop-grid__row-1 column3-desktop-grid__span-3 column3-desktop-grid__start-7 column3-desktop-grid__row-1 column4-desktop-grid__span-3 column4-desktop-grid__start-10 column4-desktop-grid__row-1 column1-tablet-grid__span-4 column1-tablet-grid__row-1 column2-tablet-grid__span-4 column2-tablet-grid__start-5 column2-tablet-grid__row-1 column3-tablet-grid__span-4 column3-tablet-grid__row-2 column4-tablet-grid__span-4 column4-tablet-grid__start-5 column4-tablet-grid__row-2 column1-mobile-grid__span-4 column1-mobile-grid__row-1 column2-mobile-grid__span-4 column2-mobile-grid__row-2 column3-mobile-grid__span-4 column3-mobile-grid__row-3 column4-mobile-grid__span-4 column4-mobile-grid__row-4
Is there any way to also make this mean that if a visitor stretches their window (or has a very wide monitor) the cover image is not stretched too much horizontally?
|
cc4f84960c973a550ac8cd5e01cfdfe4
|
{
"intermediate": 0.37922802567481995,
"beginner": 0.46078503131866455,
"expert": 0.1599869430065155
}
|
13,735
|
Hi!
|
497af446b3a638d37c225727304fc69e
|
{
"intermediate": 0.3230988085269928,
"beginner": 0.2665199935436249,
"expert": 0.4103812277317047
}
|
13,736
|
Why are global and static objects evil? Can you show it with a code example?
|
c0fc0ffffd966fe0bbff546c62970321
|
{
"intermediate": 0.32089295983314514,
"beginner": 0.36262330412864685,
"expert": 0.31648382544517517
}
|
13,737
|
hi
|
c9a810e860af5a4add42c33afea31f63
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
13,738
|
cannot import name 'pywrap_tensorflow' from partially initialized module 'tensorflow.python' (most likely due to a circular import) (c:\Users\lenovo1\AppData\Local\Programs\Python\Python310\lib\site-packages\tensorflow\python\__init__.py)
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings..怎么改
|
324ba8d2d50407a6ff20531646125f1d
|
{
"intermediate": 0.4268409013748169,
"beginner": 0.2227192521095276,
"expert": 0.35043981671333313
}
|
13,739
|
net core Elastic Search search_after API 分页查询
|
5ffd5baa9134a10812b3c424120cd9fe
|
{
"intermediate": 0.5057474374771118,
"beginner": 0.20509178936481476,
"expert": 0.28916075825691223
}
|
13,740
|
net core Elastic Search search_after API 分页查询
|
ef8d7bcc641c7c1db938d22d584e7636
|
{
"intermediate": 0.5057474374771118,
"beginner": 0.20509178936481476,
"expert": 0.28916075825691223
}
|
13,741
|
Hi
|
6a002a8608f9134f5746988e6dccc3d1
|
{
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
}
|
13,742
|
create transliteration code for c# from english to russian
|
1b6bf9e184089a5fb7b1cdd4b7a35e97
|
{
"intermediate": 0.41610831022262573,
"beginner": 0.23961301147937775,
"expert": 0.34427860379219055
}
|
13,743
|
c++ initialize n by n double array
|
bf48b75005fd8fb1d6b7bc1b06ad26de
|
{
"intermediate": 0.3222867548465729,
"beginner": 0.37327784299850464,
"expert": 0.3044353425502777
}
|
13,744
|
make me an addon for Blender 3.5 that will make procedural brades with Annotate tool using Geometry Nodes
|
69ef2c825052b148da756c88da69058b
|
{
"intermediate": 0.46138226985931396,
"beginner": 0.2785615622997284,
"expert": 0.26005619764328003
}
|
13,745
|
c++ 10000 by 10000 array without stack overflow
|
752bff93801aa9acfe29378b82e499af
|
{
"intermediate": 0.33414116501808167,
"beginner": 0.4021192491054535,
"expert": 0.26373958587646484
}
|
13,746
|
I made chrome extension called spaced repetition, will you review it for me and tell me what are drawbacks and improvements should I make it good project to stand out in resume for faang or big MNCs interview,
popup.js
document.addEventListener('DOMContentLoaded', function() {
const createTaskButton = document.getElementById('createTaskButton');
const todayTasks = document.getElementById('todayTasks');
const upcomingTasks = document.getElementById('upcomingTasks');
const viewAllButton = document.getElementById('viewAllButton');
function createTaskItem(task, isToday) {
const taskItem = document.createElement('div');
taskItem.classList.add('task-item'); // Add a CSS class to the task item
const buttonGroup = document.createElement('div'); // Container for the buttons
buttonGroup.classList.add('button-group'); // Add a CSS class to the container
const doneButton = document.createElement('button');
doneButton.innerHTML = '✓'; // ✓ symbol
doneButton.classList.add('action-button', 'done'); // Add CSS classes to the button
const removeButton = document.createElement('button');
removeButton.innerHTML = 'X';
removeButton.classList.add('action-button', 'remove'); // Add CSS classes to the button
const taskTitle = document.createElement('span');
taskTitle.textContent = task.title;
buttonGroup.appendChild(doneButton);
buttonGroup.appendChild(removeButton);
taskItem.appendChild(buttonGroup);
taskItem.appendChild(taskTitle);
if (isToday) {
const createdDate = document.createElement('span');
const createdDateString = new Date(task.date).toLocaleDateString();
createdDate.textContent = ` (${createdDateString})`;
taskItem.appendChild(createdDate);
if (task.isCompleted) {
const daysEntered = document.createElement('span');
daysEntered.textContent = ` Last: ${task.daysEntered}`;
taskItem.appendChild(daysEntered);
}
} else {
const nextRevision = document.createElement('span');
nextRevision.textContent = ` (Next: ${task.nextRevision} Count: ${task.tasksCount})`;
taskItem.appendChild(nextRevision);
}
doneButton.addEventListener('click', function() {
const days = prompt('Enter the number of days for revision:');
if (days) {
const revisionDate = new Date();
revisionDate.setDate(revisionDate.getDate() + parseInt(days));
const completedTask = {
id: task.id,
title: task.title,
isCompleted: true,
date: revisionDate.toLocaleDateString(), // Use revised date
lastRevised: new Date().toLocaleDateString(),
nextRevision: revisionDate.toLocaleDateString(),
daysEntered: days,
tasksCount: task.tasksCount + 1,
taskDatetime: getCurrentTime()
};
const todayTasksList = getTasksFromStorage('tasks');
const upcomingTasksList = getTasksFromStorage('upcomingTasks');
if (isToday) {
const index = todayTasksList.findIndex(item => item.id === task.id);
if (index > -1) {
todayTasksList.splice(index, 1);
upcomingTasksList.push(completedTask);
saveTasksToStorage('tasks', todayTasksList);
saveTasksToStorage('upcomingTasks', upcomingTasksList);
}
} else {
const index = upcomingTasksList.findIndex(item => item.id === task.id);
if (index > -1) {
upcomingTasksList.splice(index, 1);
upcomingTasksList.push(completedTask);
saveTasksToStorage('upcomingTasks', upcomingTasksList);
}
}
}
refreshTasks();
});
removeButton.addEventListener('click', function() {
const todayTasksList = getTasksFromStorage('tasks');
const upcomingTasksList = getTasksFromStorage('upcomingTasks');
const todayIndex = todayTasksList.findIndex(item => item.id === task.id);
const upcomingIndex = upcomingTasksList.findIndex(item => item.id === task.id);
if (isToday) {
if (todayIndex > -1) {
todayTasksList.splice(todayIndex, 1);
saveTasksToStorage('tasks', todayTasksList);
refreshTasks();
}
} else {
if (upcomingIndex > -1) {
upcomingTasksList.splice(upcomingIndex, 1);
saveTasksToStorage('upcomingTasks', upcomingTasksList);
refreshTasks();
}
}
});
return taskItem;
}
function getCurrentTime() {
const currentTime = new Date().toLocaleTimeString();
return currentTime;
}
function showTasks(tasks, container, isToday) {
container.innerHTML = '';
tasks.forEach(function(task) {
const taskItem = createTaskItem(task, isToday);
container.appendChild(taskItem);
});
}
function saveTasksToStorage(key, tasks) {
localStorage.setItem(key, JSON.stringify(tasks));
}
function getTasksFromStorage(key) {
return JSON.parse(localStorage.getItem(key)) || [];
}
function refreshTasks() {
moveUpcomingTasksToToday();
const todayTasksList = getTasksFromStorage('tasks');
const upcomingTasksList = getTasksFromStorage('upcomingTasks');
showTasks(todayTasksList, todayTasks, true);
showTasks(upcomingTasksList, upcomingTasks, false);
}
setInterval(moveUpcomingTasksToToday, 15 * 1000);
function moveUpcomingTasksToToday() {
const upcomingTasksList = getTasksFromStorage('upcomingTasks');
const todayTasksList = getTasksFromStorage('tasks');
const currentDate = new Date().toLocaleDateString();
const tasksToMove = upcomingTasksList.filter(task => {
const taskDate = new Date(task.date).toLocaleDateString();
return taskDate === currentDate || new Date(taskDate) < new Date(currentDate);
});
if (tasksToMove.length > 0) {
todayTasksList.push(...tasksToMove);
saveTasksToStorage('tasks', todayTasksList);
tasksToMove.forEach(task => {
const index = upcomingTasksList.findIndex(item => item.id === task.id);
if (index > -1) {
upcomingTasksList.splice(index, 1);
}
});
saveTasksToStorage('upcomingTasks', upcomingTasksList);
}
}
function exportTasks() {
const allTasks = {
todayTasks: getTasksFromStorage('tasks'),
upcomingTasks: getTasksFromStorage('upcomingTasks')
};
const jsonTasks = JSON.stringify(allTasks);
const dataURI = 'data:text/json;charset=utf-8,' + encodeURIComponent(jsonTasks);
const downloadLink = document.createElement('a');
downloadLink.setAttribute('href', dataURI);
downloadLink.setAttribute('download', 'tasks.json');
downloadLink.click();
}
// Import tasks from JSON
function importTasks(file) {
const reader = new FileReader();
reader.onload = function(event) {
const importedTasks = JSON.parse(event.target.result);
if (importedTasks.todayTasks && importedTasks.upcomingTasks) {
const existingTodayTasks = getTasksFromStorage('tasks');
const existingUpcomingTasks = getTasksFromStorage('upcomingTasks');
const updatedTodayTasks = existingTodayTasks.concat(importedTasks.todayTasks);
const updatedUpcomingTasks = existingUpcomingTasks.concat(importedTasks.upcomingTasks);
updatedTodayTasks.forEach(task => {
task.tasksCount = task.tasksCount || 0;
});
updatedUpcomingTasks.forEach(task => {
task.tasksCount = task.tasksCount || 0;
});
saveTasksToStorage('tasks', updatedTodayTasks);
saveTasksToStorage('upcomingTasks', updatedUpcomingTasks);
refreshTasks();
} else {
alert('Invalid file format. Please select a valid tasks.json file.');
}
};
reader.readAsText(file);
}
// Export tasks button event listener
const exportButton = document.getElementById('exportButton');
exportButton.addEventListener('click', exportTasks);
// Import tasks input event listener
const importInput = document.getElementById('importInput');
importInput.addEventListener('change', function(event) {
const file = event.target.files[0];
importTasks(file);
});
createTaskButton.addEventListener('click', function() {
chrome.tabs.query({ active: true, currentWindow: true }, function(tabs) {
const activeTab = tabs[0];
const title = activeTab.title;
const task = {
id: generateUniqueId(),
title: title,
isCompleted: false,
date: new Date().toLocaleDateString(),
lastRevised: '',
nextRevision: '',
days: '',
tasksCount: 0,
taskDatetime: getCurrentTime()
};
const existingTasks = getTasksFromStorage('tasks');
existingTasks.push(task);
saveTasksToStorage('tasks', existingTasks);
refreshTasks();
});
});
viewAllButton.addEventListener('click', function() {
const allTasks = getTasksFromStorage('tasks');
const upcomingTasks = getTasksFromStorage('upcomingTasks');
const allTasksHTML = allTasks
.map(task => `<li><a href="${task.link}">${task.title}</a></li>`)
.join('');
const upcomingTasksHTML = upcomingTasks
.map(task => `<li><a href="${task.link}">${task.title}</a> - Next Revision: ${task.nextRevision}, Days: ${task.daysEntered}</li>`)
.join('');
const html = `
<html>
<head>
<title>All Tasks</title>
</head>
<body>
<h1>All Tasks</h1>
<h2>Tasks</h2>
<ul>${allTasksHTML}</ul>
<h2>Upcoming Tasks</h2>
<ul>${upcomingTasksHTML}</ul>
</body>
</html>
`;
chrome.tabs.create({
url: 'data:text/html;charset=utf-8,' + encodeURIComponent(html)
});
});
refreshTasks();
});
function generateUniqueId() {
return Math.random().toString(36).substr(2, 9);
}
|
d7be0057a957b72b923054bbcbc78726
|
{
"intermediate": 0.3346855938434601,
"beginner": 0.44128021597862244,
"expert": 0.22403426468372345
}
|
13,747
|
How to setting up proxychains4 .conf in linux
|
e7902ac9f5c095cf62e83b06e4e558ac
|
{
"intermediate": 0.43029528856277466,
"beginner": 0.27973559498786926,
"expert": 0.28996914625167847
}
|
13,748
|
ionic ios disable screen
|
f75798a2515461c1daf64b6ea9edd1ab
|
{
"intermediate": 0.35632017254829407,
"beginner": 0.3125305473804474,
"expert": 0.3311493396759033
}
|
13,749
|
loadbalancing eq priority cisco
|
53eb16743368eb20c0e54bd47b15755c
|
{
"intermediate": 0.2705039381980896,
"beginner": 0.3335633873939514,
"expert": 0.39593270421028137
}
|
13,750
|
Given these kotlin definitions of JSON
|
d8c365ee3f2cc3596007ba7794bd58ee
|
{
"intermediate": 0.2917499542236328,
"beginner": 0.5604094862937927,
"expert": 0.14784052968025208
}
|
13,751
|
what's the difference of an A-Mic and a D-Mic on a single board computer?
|
29f4a3b239c467a48d5d1906ed16840c
|
{
"intermediate": 0.24633285403251648,
"beginner": 0.2661581337451935,
"expert": 0.48750901222229004
}
|
13,752
|
give me a python code to collect information from features in arcgis
|
6582cbd1aaca2e992f17aeb6e420efb2
|
{
"intermediate": 0.5120949149131775,
"beginner": 0.16651664674282074,
"expert": 0.3213884234428406
}
|
13,753
|
suivant cette configuration "const Web3 = require('web3');
const PlayerManagement = artifacts.require("PlayerManagement.sol");
const GameBase = artifacts.require("GameBase.sol");
const Penduel = artifacts.require("Penduel.sol");
const { BN, expectRevert, expectEvent } = require('@openzeppelin/test-helpers');
const { expect } = require('chai');
const { GameStatus } = artifacts.require("GameBase.sol");
contract("PlayerManagement", accounts => {
const _owner = accounts[0];
const player1 = accounts[1];
const player2 = accounts[2];
let playerManagementInstance;
let gameBaseInstance;
let penduelInstance;
describe ("", () => {
beforeEach(async () => {
playerManagementInstance = await PlayerManagement.new();
});" donne moi les tests unitaire de cette fonction "function createGame(uint64 _gameId) external payable returns (uint64) {
validCreation(_gameId);
updateCreation(_gameId);
emit GameCreated(_gameId, msg.sender, address(0));
emit BalanceDeposited(msg.sender, gameBets[_gameId][msg.sender].pot);
return _gameId;
}"
|
f96dbc10d74fb9273a29c4c62699ccd9
|
{
"intermediate": 0.5969699621200562,
"beginner": 0.3195064961910248,
"expert": 0.08352348953485489
}
|
13,754
|
java code to layout 84 piano keyboard keys on two gui layers: the 42 white on first layer and the 42 black above on second layer. The black keys are half width and hight size of white keys. the black keys are at the center of two attached white keys.
|
ab0bac0727d8eac7a6bf50304cd01e68
|
{
"intermediate": 0.3951786756515503,
"beginner": 0.18769459426403046,
"expert": 0.41712671518325806
}
|
13,755
|
what's the use of the command： @Override
public void onClick(View v) {
if (((Switch) v).isChecked()) {
startTether();
} else {
stopTether();
}
}
|
161af2529106a26db34568457a3407fa
|
{
"intermediate": 0.5251932144165039,
"beginner": 0.25350862741470337,
"expert": 0.2212982326745987
}
|
13,756
|
fix code ).then(data => {
let nodes = data["Nodes"] || [];
let funcs = [];
nodes.forEach((node, index) => {
funcs.push(Promise.all([
fetch.eNodeBv3(node),
fetch.euCellsv2(node)
]).then(results => {
let resultnodes = [{
node: {
eNodeB: results[0],
cells: results[1]
}
}];
// do something with resultnodes for each iteration here
}))
})
return Promise.all(funcs)
|
14b91336464cfa35cc2ce07d8fc94742
|
{
"intermediate": 0.3975732922554016,
"beginner": 0.3781577944755554,
"expert": 0.22426889836788177
}
|
13,757
|
How do I deserialize binary stream (array of bytes) that have JMS serialized java class instance to C# object?
|
13b032fc6e80eb9f3d0c2875e0d8ebf6
|
{
"intermediate": 0.6708287596702576,
"beginner": 0.16704080998897552,
"expert": 0.1621304154396057
}
|
13,758
|
how to write html into excel cell in java
|
b5d199d6d5c9e33a1bb48d02b4c81050
|
{
"intermediate": 0.5119553804397583,
"beginner": 0.2769836187362671,
"expert": 0.211061030626297
}
|
13,759
|
ArrayList <"type"> "VarName" = new ArrayList <"type">();
is this a correct way of declaring an arraylist?
|
45400bb8004eace33bd1953ff44d4e27
|
{
"intermediate": 0.3725072145462036,
"beginner": 0.46793505549430847,
"expert": 0.15955770015716553
}
|
13,760
|
correct code const integrData = {}
//fetch ENode and EUtranCells data
Promise.all([
fetch.eNodeBv2(data),
fetch.eranConnection()
])
//save ENodeB, EUtranCells and Cosite eNodeBs data
.then(data => {
//error
for (let object of data) {
if (object instanceof Error) {
reject(object)
return
}
}
//save ENodeB data
integrData.parenteNodeB = data[0]
// // save EranConnection data
integrData.eranConnection = data[1]
//return data for future promises
return {
Nodes: integrData.parenteNodeB.Nodes,
}
}
//fetch cosite eNodes and EUtranCell data
).then(data => {
let nodes = data["Nodes"] || [];
let funcs = [];
nodes.forEach((node, index) => {
funcs.push(Promise.all([
fetch.eNodeBv3(node),
fetch.euCellsv2(node)
]).then(data => {
integrData.node_[index] = {
eNodeB: data[0],
cells: data[1]
}}
)
// do something with nodeResults for each iteration here
)
})
return Promise.all(funcs)
|
7c6f4ea97df8c27789c11088627a016d
|
{
"intermediate": 0.4359794557094574,
"beginner": 0.320749431848526,
"expert": 0.2432711273431778
}
|
13,761
|
GIVE ME A PYTHON CODE FOR CONVERTING CAD FILES TO SHAPE FILE IN ARCGIS
|
57ee10c6c0fbf79a9d6a4b9d9c08537e
|
{
"intermediate": 0.5025913119316101,
"beginner": 0.11286045610904694,
"expert": 0.38454824686050415
}
|
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