row_id int64 0 48.4k | init_message stringlengths 1 342k | conversation_hash stringlengths 32 32 | scores dict |
|---|---|---|---|
33,228 | How do I make my own outputstream that catches all errors from System.err | e38d3dc599e0e54846ffa495215a6f2d | {
"intermediate": 0.48599645495414734,
"beginner": 0.11313695460557938,
"expert": 0.4008665978908539
} |
33,229 | Convert this to kotlin : Intent emailIntent = new Intent(Intent.ACTION_SENDTO);
emailIntent.setData(Uri.parse(mailto)); | 809ab529df386ac360ce1b74f2b9ae1c | {
"intermediate": 0.45229020714759827,
"beginner": 0.23858891427516937,
"expert": 0.30912086367607117
} |
33,230 | i have 5 to 10 black object on white wallpaper. cut out every one of them and save as a different image using python | c986d72327d6d9c95a3d885fac3b7c6b | {
"intermediate": 0.3266310393810272,
"beginner": 0.2684968113899231,
"expert": 0.40487220883369446
} |
33,231 | How can I make my own PrintStream that will be the System.setErr() argument | 1ab454a8df2089045dc30043390553dc | {
"intermediate": 0.5186548829078674,
"beginner": 0.23535561561584473,
"expert": 0.24598947167396545
} |
33,232 | here's my code
image_path = r"C:\Users\Plathera\Desktop\4242\New folder (3)\AQOHFVLO.png"
folder_to_save = r"C:\Users\Plathera\Desktop\4242\New folder//"
import cv2
import numpy as np
def extract_objects(image):
# Convert image to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Threshold ... | 389a7883d1f1ad2d8aae517c259d567e | {
"intermediate": 0.4428195059299469,
"beginner": 0.2828061878681183,
"expert": 0.2743743360042572
} |
33,233 | How do I configure log4j? | 7f37a75651b48caebe2cd992b7feed74 | {
"intermediate": 0.5117016434669495,
"beginner": 0.15590594708919525,
"expert": 0.3323923647403717
} |
33,234 | i got 5 to 8 black object on white background. write a python script that extracts them and saves as different objects. but if object os location above another them this should be saved as 1 object | efdb34e0d461aec4e1138c77d518e614 | {
"intermediate": 0.380975604057312,
"beginner": 0.28375473618507385,
"expert": 0.3352697193622589
} |
33,235 | How do I configure Log4j in such a way where all out and err will be routed to an output file, AND I can programmacly access errors and send them externally through my Discord bot? | eda29ee333ea8dc15b6f6ed980598261 | {
"intermediate": 0.7438282370567322,
"beginner": 0.10669250041246414,
"expert": 0.14947931468486786
} |
33,236 | Why this code only prints out "192" in the terminal? | f0f7859de5d8dd849d1b4844921b4fb8 | {
"intermediate": 0.32180464267730713,
"beginner": 0.44419607520103455,
"expert": 0.23399922251701355
} |
33,237 | Can you write me a C program using the following stack structure:
struct int_node {
int value;
struct int_node *next;
};
and create a simple calculator that can add two arbitrary size integers entered from the command line. | 6231741bd0efdec703f185358324cc5c | {
"intermediate": 0.44481003284454346,
"beginner": 0.35683560371398926,
"expert": 0.19835436344146729
} |
33,238 | write an essay about penguins | 8e62daff93a9c04459284b9b34fc6015 | {
"intermediate": 0.3553641140460968,
"beginner": 0.3793390989303589,
"expert": 0.2652967572212219
} |
33,239 | I want to create an app that web scrapes the new "machine learning remote full time" roles on the website and send a report to my email every morning at 8am | 3729af6812486023757e383eaf5f1bdd | {
"intermediate": 0.14756475389003754,
"beginner": 0.1110701784491539,
"expert": 0.7413650751113892
} |
33,240 | write me code for a web pac man game | d98f06cf4d04db4af5233d5180a1677a | {
"intermediate": 0.30446580052375793,
"beginner": 0.4662586748600006,
"expert": 0.22927545011043549
} |
33,241 | I need to programmatically catch all errors of a Java program and write to a logs file. Can I use logback to help with this? | 04252e2e9b659ff13d7171ddef9ea9a5 | {
"intermediate": 0.6619928479194641,
"beginner": 0.12398800998926163,
"expert": 0.21401923894882202
} |
33,242 | I need to programmatically catch all errors of a Java program and write to a logs file. Can I use logback to help with this? I need the ability to catch ALL errors in the program, basically everything that gets printed to the error stream | f5fc3c024efe4f343f4457b29847a8d1 | {
"intermediate": 0.3623808026313782,
"beginner": 0.4570991098880768,
"expert": 0.18052011728286743
} |
33,243 | def permutation(binary, permutation_order):
permuted = [binary[i - 1] for i in permutation_order]
return ''.join(permuted)
def ascii_to_binary(string):
binary_string = ""
for char in string:
ascii_value = ord(char)
binary_value = bin(ascii_value)[2:].zfill(8) # تحويل إلى ثنائي وملء الص... | fa2366b64198044ac20f06fbba8d0196 | {
"intermediate": 0.34985828399658203,
"beginner": 0.38460713624954224,
"expert": 0.26553452014923096
} |
33,244 | string baseDirectory = AppDomain.CurrentDomain.BaseDirectory;
string scriptPath = Path.Combine(baseDirectory, @"Scripts\imports.py");
scriptPath = @"Scripts\imports.py";
var psi = new ProcessStartInfo
{
FileName = "python",
Arguments = scri... | d19308ebca107ccac28ea2f5d4d8dcb0 | {
"intermediate": 0.33375924825668335,
"beginner": 0.4587947130203247,
"expert": 0.20744602382183075
} |
33,245 | Добавь к этому коду, чтобы в Message.Box выводились сообщения из python
private void button2_Click(object sender, EventArgs e)
{
string baseDirectory = AppDomain.CurrentDomain.BaseDirectory;
string scriptPath = @"Scripts\imports.py";
var psi = new ProcessStartInfo
... | e8e6416d10414054c83eb8dd7f9cca57 | {
"intermediate": 0.4109925329685211,
"beginner": 0.35393306612968445,
"expert": 0.23507437109947205
} |
33,246 | Напиши полный код нейросети для генерации картинок на C# | dc0e9ce71e221ccf3afc02a80c0a00bd | {
"intermediate": 0.3911442458629608,
"beginner": 0.35072386264801025,
"expert": 0.25813189148902893
} |
33,247 | corelation among variables | 12e402a45c58fd75fcfd24733659b56c | {
"intermediate": 0.336316853761673,
"beginner": 0.508644700050354,
"expert": 0.15503846108913422
} |
33,248 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | 132120c64d42ba21ea992f168125f48e | {
"intermediate": 0.32967230677604675,
"beginner": 0.470430463552475,
"expert": 0.1998971551656723
} |
33,249 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | 2f2f16f8fd102509f698ff4bb3a27000 | {
"intermediate": 0.32967230677604675,
"beginner": 0.470430463552475,
"expert": 0.1998971551656723
} |
33,250 | Напиши код для генерации картинок по тексту на C# используй TensorFlow | 74d22613713a2f93f614dad660e847b8 | {
"intermediate": 0.46752414107322693,
"beginner": 0.16923201084136963,
"expert": 0.36324381828308105
} |
33,251 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | a9dbf4b3f389e29ff4e6a10b70772311 | {
"intermediate": 0.32967230677604675,
"beginner": 0.470430463552475,
"expert": 0.1998971551656723
} |
33,252 | x | f0c512f89c63b52c3a68053dfd7af77f | {
"intermediate": 0.3188217282295227,
"beginner": 0.2993789613246918,
"expert": 0.3817993104457855
} |
33,253 | Input Handling:-
Your code must handle that plaintext size is of any size not only 8 characters. If the plain text size is less than 8 characters your code should handle that by adding special characters and if the plain text size is more than 8 characters your code should also handle that by dividing plain text to blo... | 18784bbfba1f8e20ac7a2f8663e68741 | {
"intermediate": 0.4971179664134979,
"beginner": 0.14835681021213531,
"expert": 0.35452526807785034
} |
33,254 | # Core Q-learning Class
import numpy as np
print("About to instantiate QLearningAgent")
agent = QLearningAgent(state_size, action_size, learning_rate, discount_factor, epsilon)
class QLearningAgent:
def __init__(self, state_size, action_size, learning_rate, discount_factor, epsilon):
# Existing attributes... | 1a86a360a79750c1173cefb1ecd86dd7 | {
"intermediate": 0.23296749591827393,
"beginner": 0.4992992579936981,
"expert": 0.26773324608802795
} |
33,255 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 1 03:26:35 2023
@author: ML
"""
def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += “@”
return plaintext[:8]
def text_to_binary(text):
binary_text = “”
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
... | fe08d85c64e0b983f80946821dfcf7d0 | {
"intermediate": 0.36364880204200745,
"beginner": 0.4288807809352875,
"expert": 0.2074703872203827
} |
33,256 | Use the given information to find the number of degrees of freedom, the critical values
χ2L and
χ2R, and the confidence interval estimate of
σ. It is reasonable to assume that a simple random sample has been selected from a population with a normal distribution.
White Blood Counts of Women
98% confidence; n
=
148,... | 9e8478e03e0f37b3498848f969489f04 | {
"intermediate": 0.3576982319355011,
"beginner": 0.3232567608356476,
"expert": 0.31904494762420654
} |
33,257 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]
def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | 5fea89e4f81c453d254344500982b74f | {
"intermediate": 0.343763142824173,
"beginner": 0.41792595386505127,
"expert": 0.23831090331077576
} |
33,258 | 基于docker compose v3构建datasophon | 213ef0b18502aadaf872c8804643947a | {
"intermediate": 0.38459861278533936,
"beginner": 0.2079230099916458,
"expert": 0.407478392124176
} |
33,259 | χ2L =
(Round to two decimal places as needed.) | a5e9b0c9e25aa09b1768d2c7e6eb64fb | {
"intermediate": 0.33752524852752686,
"beginner": 0.31563419103622437,
"expert": 0.34684062004089355
} |
33,260 | The probabilities of events A, B, and A∩B are given. Find (a) P(A U B), (b) the odds in favor of and the odds against A, © the odds in favor of and the odds against B, and (d) the odds in favor of and against A∩B.
P(A) = 4/11
P(B) = 7/11
P(AB) = 0 | 1e084ce5b2815a642e9e5707e8420a1c | {
"intermediate": 0.3186441659927368,
"beginner": 0.27213120460510254,
"expert": 0.40922462940216064
} |
33,261 | Create a program that will simulate a calculator. Your program will ask the user for up to 4 numbers, however the user does not have to use all 4 numbers, but must use at least 2 numbers. Create a function that checks the user input for this condition. Your program must then have 4 more functions. Multiply(num1,num... | 6bd9d70cd36bec479f7a9221b72c3307 | {
"intermediate": 0.2774199843406677,
"beginner": 0.31736040115356445,
"expert": 0.40521955490112305
} |
33,262 | напиши код для curl на C#
-d '{"inputs": "Astronaut riding a horse"}' \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" | eedd5c6dac68f3bcdd30bf52a8ae6e44 | {
"intermediate": 0.31617066264152527,
"beginner": 0.47647011280059814,
"expert": 0.2073592096567154
} |
33,263 | Let x be a continuous random variable with a standard normal distribution. Using the accompanying standard normal distribution table, find P(-1.22 <= x <= 0). | 9da6b44f4c1a1f0850e3f123e8f723f5 | {
"intermediate": 0.369752436876297,
"beginner": 0.27348530292510986,
"expert": 0.3567623198032379
} |
33,264 | how to write print log every new line with comma in dart | a4abe2a961dff068f197f22a7eabeac7 | {
"intermediate": 0.45326608419418335,
"beginner": 0.16943834722042084,
"expert": 0.377295583486557
} |
33,265 | how to write print log every new line with comma in dart | 274573ed878f833bb4dbde3ab3925a6c | {
"intermediate": 0.45326608419418335,
"beginner": 0.16943834722042084,
"expert": 0.377295583486557
} |
33,266 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]
def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | 801caea981cde76d0979aaf54fa4ad71 | {
"intermediate": 0.343763142824173,
"beginner": 0.41792595386505127,
"expert": 0.23831090331077576
} |
33,267 | Fix the code
year = 0
balance = 10000.0
TARGET = 20000.0
RATE = 0.05
while balance < TARGET:
year = year + 1
interest = balance * RATE/100
balance = balance + interest
print(year) | 9fd9a6c8fdc96411709c70cc3e946959 | {
"intermediate": 0.21463671326637268,
"beginner": 0.5633221864700317,
"expert": 0.22204110026359558
} |
33,269 | import json
from collections import Counter
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import load_model
import matplotlib.pyplot as plt
input_file_name = '1.jsonl'
saved_model_name = 'neural_network_model.h5'
sequence_length = 100 # Как определено при обучении
n_features = 3 # Как опред... | 832049ca92d80ad66acbff6ff6049768 | {
"intermediate": 0.2757129669189453,
"beginner": 0.525080680847168,
"expert": 0.19920630753040314
} |
33,270 | hello | 83067171c32d75143c6e827573af3f44 | {
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
} |
33,271 | dijkstra's algorithm python code using priority queue | 20dcb5b8ef69dc62f45d495adfa8e0e8 | {
"intermediate": 0.1202748492360115,
"beginner": 0.09502352029085159,
"expert": 0.7847016453742981
} |
33,272 | import pgzrun
WIDTH = 310
HEIGHT = 450
scroe = 0
button = Actor("button1_on")
button.pos = WIDTH / 2, HEIGHT / 2 + 60
def draw():
screen.fill("lightblue")
button.draw()
screen.draw.text("Scroe: " + str(scroe), color='white', center=(WIDTH / 2, 90), fontsize=50)
pgzrun.go() | 5307c7ef060563cac88509c1b9b513d9 | {
"intermediate": 0.39627283811569214,
"beginner": 0.2979452610015869,
"expert": 0.30578190088272095
} |
33,273 | > install.packages("float")
Warning in install.packages :
unable to access index for repository https://cran.ma.imperial.ac.uk/bin/macosx/el-capitan/contrib/3.6:
cannot open URL 'https://cran.ma.imperial.ac.uk/bin/macosx/el-capitan/contrib/3.6/PACKAGES'
Package which is only available in source form, and may need c... | 2450f79ea40a685cf878f4a9edf324b1 | {
"intermediate": 0.48903217911720276,
"beginner": 0.26153847575187683,
"expert": 0.2494293451309204
} |
33,274 | please build script for download video tiktok by url using python code | d7c767f5716a5cb99d40fd6b9e0a1de7 | {
"intermediate": 0.36818498373031616,
"beginner": 0.20408235490322113,
"expert": 0.4277326166629791
} |
33,275 | Merhaba, "client.on(‘messageCreate’, async (msg) => {
if (msg.channel.id === config.channelId) {
if ([String(owoId), String(config.authorId)].includes(msg.author.id)) {
const regex = /human|captcha|dm|banned|https://owobot.com/captcha|Beep|human?/gi;
if (msg.content.includes(<@${client.user.id}>... | bbec412a05d78e51b332154306ab86bb | {
"intermediate": 0.43968871235847473,
"beginner": 0.32100456953048706,
"expert": 0.2393067181110382
} |
33,276 | please check this code :import requests
from bs4 import BeautifulSoup
url = "https://startup.jobs/?remote=true&c=Full-Time&q=machine+learning"
# Make a GET request to fetch the raw HTML content
response = requests.get(url)
if response.status_code == 200:
# Parse the HTML content
soup = BeautifulSoup(response... | 0fb2814d1b0cd37d30502da5ec778489 | {
"intermediate": 0.23007863759994507,
"beginner": 0.6466384530067444,
"expert": 0.12328296154737473
} |
33,277 | is phpmyadmin similar to mysql? | d274b70110986d122a28247d3abfce8e | {
"intermediate": 0.47106650471687317,
"beginner": 0.3370046019554138,
"expert": 0.19192884862422943
} |
33,278 | 对于多项式岭回归，使用某种方法探索以下超参数空间（p=[1,2,3], alpha = [0.001,0.01,0.1,1,10,100,1000],并报告最佳超参数 best_p 和 best_alpha，从而最小化验证数据的 MAE | 3a22e1a012d89427e634526a4ea8067f | {
"intermediate": 0.29913973808288574,
"beginner": 0.32553616166114807,
"expert": 0.3753241002559662
} |
33,279 | from sklearn.preprocessing import StandardScaler
ss = StandardScaler()
train_sub_std_X = ss.fit_transform(train_sub_X)
valid_std_X = ss.transform(valid_X)
import torch
batch_size = 32
train_X_torch = torch.tensor(train_sub_std_X, dtype=torch.float)
valid_X_torch = torch.tensor(valid_std_X, dtype=torch.float)
# conve... | 07c5718f553cc9c1d8e6186fe79e536f | {
"intermediate": 0.4639964997768402,
"beginner": 0.34687596559524536,
"expert": 0.18912751972675323
} |
33,280 | This code produces an error :!pip install selenium
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup
import time
webdriver_path = r"C:\Users\14802\Desktop\c... | 684c0a9544e10aaf896c72e6371798bb | {
"intermediate": 0.09330467879772186,
"beginner": 0.8396633863449097,
"expert": 0.06703194975852966
} |
33,281 | from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import GridSearchCV
rfr = RandomForestRegressor(random_state=0)
parameter_tree = {
'n_estimators':[10,20,50,100,200,500],
'max_depth':[2,4,6,8,10,12,14,16,18,20]
}
grid_rfr = GridSearchCV(rfr, parameter_tree, scoring = 'neg_mean_a... | 50b40f08529260db4cec4905a12b0935 | {
"intermediate": 0.2587928771972656,
"beginner": 0.41783004999160767,
"expert": 0.3233770430088043
} |
33,282 | is there a "sort by" in sql | 38d437999c8b4a1f5ab85d4ecbfe13e1 | {
"intermediate": 0.2936173379421234,
"beginner": 0.19958271086215973,
"expert": 0.5067999958992004
} |
33,283 | hi | a9d67027db78aa80a84d7dcf134af77e | {
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
} |
33,284 | HOW ALL YOUR WORK. REMEMBER THAT PROGRAM SEGMENTS ARE TO BE WRITTEN IN JAVA.
Assume that the classes listed in the Java Quick Reference have been imported where appropriate.
Unless otherwise noted in the question, assume that parameters in method calls are not null and that methods are called only when their precondit... | b50854e88c44a09a190bb715f153ff32 | {
"intermediate": 0.09966831654310226,
"beginner": 0.7936404943466187,
"expert": 0.10669118911027908
} |
33,285 | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <sys/types.h>
#include <sys/wait.h>
#include <fcntl.h>
#include <glob.h>
#define MAX_INPUT_SIZE 1024
#define MAX_ARG_NUM 16
#define MAX_PATH_SIZE 256
int execute_command(char *args[]);
void handle_redirection(char *args[], int *in... | 67e52e02cdf2c244e7e7eb732a697ea9 | {
"intermediate": 0.4495420455932617,
"beginner": 0.4141734838485718,
"expert": 0.13628441095352173
} |
33,286 | in SQL, select a substring from "<Pin name="EmergencyLightBar" type="din">0</Pin>" that shows just the zero between the > and < | 69f5c6ec8525bfd3a15e984694320d11 | {
"intermediate": 0.35190895199775696,
"beginner": 0.23241661489009857,
"expert": 0.41567444801330566
} |
33,287 | I have to fine-tune a llm to generate Indian legal affidavits
How should I start
Give steps with some code please | c1e4b0f6d40a3ea2c45009b6d15dc180 | {
"intermediate": 0.37993481755256653,
"beginner": 0.20852357149124146,
"expert": 0.41154158115386963
} |
33,288 | import openai
# Пересохраните ваш API-ключ от OpenAI
openai.api_key = "YOUR_API_KEY"
# Задайте различные параметры
prompt = "Здравствуйте! Как я могу помочь вам сегодня?"
voice = "en-US-Wavenet-J"
temperature = 0.8
max_tokens = 100
# Создайте функцию для генерации озвученного текста
def generate_voiced_text(prompt, ... | 13695f9c79e05c6292c9b0174ad870bc | {
"intermediate": 0.29516851902008057,
"beginner": 0.447720468044281,
"expert": 0.2571110129356384
} |
33,289 | hi there, a coding challenge. assume the language is purescript. make a datatype of kind `forall k. k -> k`, call it Proxy, and give it a Bind typeclass instance | 09931dbe16383a91d3b08738abf8e814 | {
"intermediate": 0.23965765535831451,
"beginner": 0.661445140838623,
"expert": 0.09889727830886841
} |
33,290 | in JS, how do I have regex matching either a character or the end of string? | 7a7c99a3fb4fbab38168a7d33de68711 | {
"intermediate": 0.5082759857177734,
"beginner": 0.1984531581401825,
"expert": 0.29327091574668884
} |
33,291 | in JS, how do I have regex matching either a character or the end of string? | 2dd159464b0a5e22fb7f1453d1eb1884 | {
"intermediate": 0.5082759857177734,
"beginner": 0.1984531581401825,
"expert": 0.29327091574668884
} |
33,292 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]
def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | 9fb0769f72ef896947a2fd9051bec197 | {
"intermediate": 0.343763142824173,
"beginner": 0.41792595386505127,
"expert": 0.23831090331077576
} |
33,293 | hi i need you to create a JSON file for me | 26476030f1b1f7bafd9fd9a14a23f5a5 | {
"intermediate": 0.3315412104129791,
"beginner": 0.20640309154987335,
"expert": 0.4620557427406311
} |
33,294 | please build script for download tiktok by url using python | 7489922829fac8ebcee00fd68451db95 | {
"intermediate": 0.40691426396369934,
"beginner": 0.1716650277376175,
"expert": 0.421420693397522
} |
33,295 | python charm program a random guessing number until 1000 | 408d2dd0ae7667cdbdc172172afddc81 | {
"intermediate": 0.3804894685745239,
"beginner": 0.31313037872314453,
"expert": 0.30638012290000916
} |
33,296 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]
def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | d7e1f47bba11a01eb8ba1484e7d3de7b | {
"intermediate": 0.343763142824173,
"beginner": 0.41792595386505127,
"expert": 0.23831090331077576
} |
33,297 | https://stablediffusion.fr/chatgpt4 | 5c846331e29ce3cb857c5ed13942281c | {
"intermediate": 0.4328889846801758,
"beginner": 0.22920450568199158,
"expert": 0.33790653944015503
} |
33,298 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += “@”
return plaintext[:8]
def text_to_binary(text):
binary_text = “”
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintext):
... | 2a5d76f42719b534a7f5af4918a0e625 | {
"intermediate": 0.2808162569999695,
"beginner": 0.5485007166862488,
"expert": 0.1706831306219101
} |
33,299 | current_month = driver.find_element(By.CLASS_NAME,'monthselect').text
current_year = driver.find_element(By.CLASS_NAME,'yearselect').text
This code produces the lists of all available months and years in calendar. But I need to have only the selected month and year in that variables | d7af720d1c40fd8f7d588ffade661d7f | {
"intermediate": 0.2984754741191864,
"beginner": 0.4230296313762665,
"expert": 0.2784949243068695
} |
33,300 | import json
import numpy as np
from tensorflow.keras.models import load_model
from collections import Counter, defaultdict
import plotly.graph_objs as go
# Функция для чтения данных и подсчета встречаемости пользователей
def load_data(filename):
user_counter = Counter()
data_by_user = defaultdict(list)
wit... | bc7d6859aed37427f32689c7ce9cd2f3 | {
"intermediate": 0.4225699305534363,
"beginner": 0.36925268173217773,
"expert": 0.2081773728132248
} |
33,301 | How can I under "virt-manager" from a VM access the serial port of another vm ? | 8ca815ec5b10a6e21357748bbf67ff0b | {
"intermediate": 0.42807525396347046,
"beginner": 0.2844283878803253,
"expert": 0.2874963879585266
} |
33,302 | ;PROGRAM TITLE GOES HERE -- HANOI
;Solves tower of hanoi puzzle.Printout sequence of moves
;of N discs from initial spindle X to final spindle Z.
;using spindle Y for temporery storage
;
datarea segment ;define data segment
message1 db 'N=?',0ah,0dh,'$'
message2 db 'What is the name of spindle X ?'
... | 7399602df0fd0525e780778ab9d1a31a | {
"intermediate": 0.358176589012146,
"beginner": 0.393733412027359,
"expert": 0.2480899691581726
} |
33,303 | как сделать, чтобы мой запрос getOperationStatus попал на проверку checkSign
private Boolean checkSign(CachedBodyHttpServletRequest request, ServletResponse servletResponse) throws IOException {
String requestContent = new String(ByteStreams.toByteArray(request.getInputStream()), StandardCharsets.UTF_8);
... | c2819a96404470c3d2121c6e9790ee11 | {
"intermediate": 0.38333913683891296,
"beginner": 0.4566159248352051,
"expert": 0.16004487872123718
} |
33,304 | ;PROGRAM TITLE GOES HERE -- HANOI
;Solves tower of hanoi puzzle.Printout sequence of moves
;of N discs from initial spindle X to final spindle Z.
;using spindle Y for temporery storage
;
datarea segment ;define data segment
message1 db 'N=?',0ah,0dh,'$'
message2 db 'What is the name of spindle X ?'
... | e06726a13efa71e058fedbd91e348dbb | {
"intermediate": 0.358176589012146,
"beginner": 0.393733412027359,
"expert": 0.2480899691581726
} |
33,305 | (String.IsNullOrEmpty(imagePath)
как сделать чтобы вместо imagePath была ссылка на картинку
этот файл находится в debug/scripts/getprice.cs
а картинка в debug/imagecontainer/price.jpg | 637493ced1d3b1acdaec7ad39ea85e42 | {
"intermediate": 0.515320897102356,
"beginner": 0.2904878258705139,
"expert": 0.19419130682945251
} |
33,306 | C# show window over fullscreen games | 9737adc4bd38df79054ab83b1698795c | {
"intermediate": 0.4071568548679352,
"beginner": 0.37341707944869995,
"expert": 0.21942603588104248
} |
33,307 | in ggplot(Tc_Carotte_mlf, aes(x = Test_Jour_Croissance, y = CFU_g,fill = Bacterie)) +
geom_boxplot() + # stat_compare_means(aes(group = Bacterie), label = "p")+
labs(title ="Comparaison CFU/g pour Carotte", x = "Test", y = "CFU_g") +
scale_fill_manual(values = couleurs_bacterie, guide = guide_legend(title = "Bact... | e72df52366e53f947a73d8ba454caf6d | {
"intermediate": 0.29639342427253723,
"beginner": 0.2647167444229126,
"expert": 0.43888983130455017
} |
33,308 | def pad_plaintext(plaintext):
while len(plaintext) < 8:
plaintext += "@"
return plaintext[:8]
def text_to_binary(text):
binary_text = ""
for char in text:
binary_char = bin(ord(char))[2:].zfill(8)
binary_text += binary_char
return binary_text
def split_blocks(plaintex... | be9e6df8c804e4ebc5b4a788c2e46f12 | {
"intermediate": 0.3371845483779907,
"beginner": 0.4498818516731262,
"expert": 0.21293359994888306
} |
33,309 | in a gdb rsp connection ,how openocd let gdb quit | c1e82cf6f679f9329d5c62400b68d33c | {
"intermediate": 0.6032066345214844,
"beginner": 0.15165798366069794,
"expert": 0.2451353371143341
} |
33,310 | i have an ATmega16, a simple 4x4 keypad and a 16x2 LCD character.
my keypad is like this one:
{
'7', '8', '9', '/',
'4', '5', '6', '*',
'1', '2', '3', '-',
'reset', '0', '=', '+',
}
i want to use alcd.h library and write the program inside codevision avr enviorment using c language.
i initi... | 6201af03f11ecdeb2d19fe853f8bbef3 | {
"intermediate": 0.5089640617370605,
"beginner": 0.21236677467823029,
"expert": 0.278669148683548
} |
33,311 | pairs(pca_scores$x, xlim=c(-3, 3), ylim=c(-3, 3), col=rainbow(6), pch=9) Error in pca_scores$x : $ operator is invalid for atomic vectors | a51f93eb73824ab28dea59a410b80543 | {
"intermediate": 0.38630756735801697,
"beginner": 0.307656466960907,
"expert": 0.30603599548339844
} |
33,312 | home assistant template card making | 65d4e96cc4180e2ea3418ed4d85ed366 | {
"intermediate": 0.3361682891845703,
"beginner": 0.41090402007102966,
"expert": 0.2529277205467224
} |
33,313 | python get camelcase from snakecase | ae63d0bee99d95c50a8111c402d22593 | {
"intermediate": 0.34362444281578064,
"beginner": 0.33903300762176514,
"expert": 0.3173425793647766
} |
33,315 | free bytecode noo-coding editor | 3167370764fa7aab60be41d766072cdd | {
"intermediate": 0.23314028978347778,
"beginner": 0.33218586444854736,
"expert": 0.43467384576797485
} |
33,316 | pairs(pca_scores, xlim=c(-3, 3), ylim=c(-3, 3), col=rainbow(6), pch=9) 为什么画出来是空的，pca_scores是个 num [1:56, 1:3] | 4c447c3c28f5be98b3997415dd704b56 | {
"intermediate": 0.3126660883426666,
"beginner": 0.29716727137565613,
"expert": 0.39016664028167725
} |
33,317 | The data.txt file is a 12625 x 56 matrix; each column (row) of the matrix corresponds to the
individual case (gene).
Among the 56 cases,
Columns 1~20: pulmonary carcinoid samples (Carcinoid);
Columns 21~33: colon cancer metastasis samples (Colon);
Columns 34~50: normal lung samples (Normal);
Columns 51~56: small cell c... | 6721fe8cdb628d83af2037432dbb8e34 | {
"intermediate": 0.32485702633857727,
"beginner": 0.2391621470451355,
"expert": 0.43598082661628723
} |
33,318 | help me also make so it works on slight rotation on the picture:
import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread("photo (3).jpg", cv.IMREAD_GRAYSCALE)
assert img is not None, "file could not be read, check with os.path.exists()"
img2 = img.copy()
template = cv.imread("namn1.pn... | 2dad023372fd870e82c66b8a98c049db | {
"intermediate": 0.4851396679878235,
"beginner": 0.2847941517829895,
"expert": 0.23006610572338104
} |
33,319 | Как перевести десятичное отрицательное число в шестнадцатеричную систему счисления?с++
#include <iostream>
#include <vector>
#include <array>
using namespace std;
void code_sh(int n){
vector<string> str={"A","B","C","D","E","F"};
vector<string> ch={"10","11","12","13","14","15"};
vector<string> numbe... | 7158d68c6a33b10f3284fe45bad263b7 | {
"intermediate": 0.44452494382858276,
"beginner": 0.4227984547615051,
"expert": 0.13267658650875092
} |
33,320 | Проверь что не так в моём шейдере, почему _MainTex отрисовывется чёрно-белой? И почему свет падает не правильно. Исправь все недочеты
Shader "Custom/SimpleTangentSpaceLighting"
{
Properties
{
_MainTex("Albedo", 2D) = "white" {}
_NormalTex("Normal Map", 2D) = "bump" {}
}
SubShader
{
Pass
{
Tags{ "Ligh... | dc3d2c317b98bde3603ce6d2260d5699 | {
"intermediate": 0.32938656210899353,
"beginner": 0.4383136034011841,
"expert": 0.23229987919330597
} |
33,321 | how to setup ngnix rtmp server that runs forever and can change video source from api | 83816783650f4c1a7c8840e2f18098b4 | {
"intermediate": 0.5556225776672363,
"beginner": 0.18247850239276886,
"expert": 0.2618989646434784
} |
33,322 | Assume the following co-training (multiview learning) self-training scenario: the positive class contains x 1 = [1 0] T and the negative class contains x 2 = [0 1] T . Assume that we first train a maximum margin classifier only based on the first feature of training vectors, then label the unlabeled vector x 3 = [2/3 1/3]... | 35abdb50a60132c2815d6cb97b665243 | {
"intermediate": 0.22470177710056305,
"beginner": 0.1712343692779541,
"expert": 0.604063868522644
} |
33,323 | Need Pine code for RSI fast (value )and slow RSI (value) cross with color change fill. Take smoothening and Threshold factor as 1 | b4c75a10162f069ffb6c9333a6711c25 | {
"intermediate": 0.3383547067642212,
"beginner": 0.13788077235221863,
"expert": 0.5237645506858826
} |
33,324 | Required C++ classes to implement the Izhikevich model. Neurons created would be used to build a randomly connected network, so it must be possible to dynamiclly connect and disconnect a neuron from a neighbor, either as input or output. The implementation must include synaptic plasticity, with different types of synap... | 2c33be99108221f9f1605f08251d40ab | {
"intermediate": 0.09936594218015671,
"beginner": 0.17434285581111908,
"expert": 0.7262911796569824
} |
33,325 | Required C++ classes to implement the Izhikevich model. Neurons created would be used to build a randomly connected network, so it must be possible to dynamiclly connect and disconnect a neuron from a neighbor, either as input or output. The implementation must include synaptic plasticity, with different types of synap... | 0ef958230e318dceebdd4aa7f94d283a | {
"intermediate": 0.1402813345193863,
"beginner": 0.13764744997024536,
"expert": 0.7220712304115295
} |
33,326 | Required C++ classes to implement the Izhikevich model. Neurons created would be used to build a randomly connected network, so it must be possible to dynamiclly connect and disconnect a neuron from a neighbor, either as input or output. The implementation must include synaptic plasticity, with different types of synap... | d185695ee88c675f3520a7ec74f6dc54 | {
"intermediate": 0.08806933462619781,
"beginner": 0.13949228823184967,
"expert": 0.7724383473396301
} |
33,327 | Required C++ classes to implement the Izhikevich model. Neurons created would be used to build a randomly connected network, so it must be possible to dynamiclly connect and disconnect a neuron from a neighbor, either as input or output. The implementation must include synaptic plasticity, with different types of synap... | 696e4950fc470964435b25d3ff808fc5 | {
"intermediate": 0.09867190569639206,
"beginner": 0.12995336949825287,
"expert": 0.7713747620582581
} |
33,328 | Required C++ classes to implement the Izhikevich model. Neurons created would be used to build a randomly connected network, so it must be possible to dynamiclly connect and disconnect a neuron from a neighbor, either as input or output. The implementation must include synaptic plasticity, with different types of synap... | 55016d293313a90ca3279706d38b31d7 | {
"intermediate": 0.11792676150798798,
"beginner": 0.16150616109371185,
"expert": 0.7205671072006226
} |
33,329 | C++ code to connect to a Tor's Hidden Service v3. The code must not use the official Tor client, but download the consensus, parse it, download hidden service descriptor, parse it and connect to the hidden service, re-implementing a simple version of the Tor's protocol. OpenSSL must be used for cryptography. The goal i... | 80178ed86fcf6c28b0c4695510791cfd | {
"intermediate": 0.5010915398597717,
"beginner": 0.2849331796169281,
"expert": 0.213975191116333
} |
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