row_id int64 0 48.4k | init_message stringlengths 1 342k | conversation_hash stringlengths 32 32 | scores dict |
|---|---|---|---|
42,569 | how to configure http proxy to system for which I don't have direct access | 72662d3c3ab2151a3392cd79ff22d265 | {
"intermediate": 0.4781305491924286,
"beginner": 0.2747863829135895,
"expert": 0.24708308279514313
} |
42,570 | Код в Prolog 7.5 База данных содержит факты вида: student(имя, курс). Создать проект, позволяющий сформировать список студентов 1-го курса. Использовать идентификаторы в латинице.
% Copyright
implement main
open core
class predicates
student(symbol,integer)
spisok
clauses
student(vova,3).
student... | 14923aa9be081d703c12a40887159f2b | {
"intermediate": 0.32598304748535156,
"beginner": 0.548452615737915,
"expert": 0.1255643218755722
} |
42,571 | when reading csv files using pandas how to skip first 3 columns and not read them ? | 2899842120408dc2eb2edf23ef12600d | {
"intermediate": 0.4361368715763092,
"beginner": 0.13385635614395142,
"expert": 0.43000680208206177
} |
42,572 | are you gpt 4 or 3.5 | e61b1b6a51ebfad14991763a1def4f43 | {
"intermediate": 0.27883201837539673,
"beginner": 0.3660850524902344,
"expert": 0.3550829291343689
} |
42,573 | import { CommunityPolicyEnum, AccountCommunityType } from "@openchat/types"
import { Models } from "@openchat/models"
import {
useBanByCommunityAndIdentity,
useCommunity,
useCurrentIdentityId,
useAccountCommunityBy,
} from "@openchat/ui"
import { useEffect, useState } from "react"
import { useNavigate } from "r... | 33fd85df16d822d9f4b1ae991427bd42 | {
"intermediate": 0.26351186633110046,
"beginner": 0.43404337763786316,
"expert": 0.3024446964263916
} |
42,574 | <!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<title>Metacar: Documentation</title>
<!-- Load the latest version of TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.11.6"> </script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/pixi.js/4.7.1/pixi.min.js">... | 24954d6702d44d05a846af76f57bc8e6 | {
"intermediate": 0.3036764860153198,
"beginner": 0.34285157918930054,
"expert": 0.35347193479537964
} |
42,575 | I have a json file where I have extracted data of some entities including line_item. And I have a Image(Invoice) and OCR textract output in csv format containing these columns (page_num,block_num,line_num,word_num,left,right,top,bottom,width,height,conf,text,image_height,image_width) .
Now I want to map all the line it... | eea26e042709242a8791f2696653c456 | {
"intermediate": 0.41767656803131104,
"beginner": 0.4365912675857544,
"expert": 0.14573225378990173
} |
42,576 | Как переделать следующий код так, чтобы рамка расширялась, а не создавалась новая
class DrawingWindow(QMainWindow):
def __init__(self, coordinates):
super().__init__()
self.setWindowTitle("Transparent Drawing Window")
self.setGeometry(0, 0, QApplication.desktop().screenGeometry().width(),
... | cb8b7f6c5e949d5ac7ae70d860ea7ed7 | {
"intermediate": 0.3186626434326172,
"beginner": 0.4757785201072693,
"expert": 0.2055588811635971
} |
42,577 | are you based on gpt 4 or 3.5 | ca5c7964cc71b3f1e8134b7f63bccacd | {
"intermediate": 0.304495632648468,
"beginner": 0.30219417810440063,
"expert": 0.39331018924713135
} |
42,578 | У меня есть вот такой класс окна:
class DrawingWindow(QMainWindow):
def __init__(self, coordinates):
super().__init__()
self.setWindowTitle("Transparent Drawing Window")
self.setGeometry(0, 0, QApplication.desktop().screenGeometry().width(),
QApplication.desktop().sc... | 9bd16d19ec566daff2e81925d3f2b842 | {
"intermediate": 0.25754514336586,
"beginner": 0.5949560403823853,
"expert": 0.14749877154827118
} |
42,579 | i have 1050 file of historical data of different cryptocurrencies icluding their OHLCV and technical indicators and etc…
each file belongs to one crypto and has 113 columns(features and around 1500 rows)
i want to train a cnn model on them…
how should i do so? | f68f38371c570de2e2f173a2ff8b14ed | {
"intermediate": 0.10280318558216095,
"beginner": 0.0455867163836956,
"expert": 0.8516100645065308
} |
42,580 | Hi who are you? | 5c25f96b15e195b84009e358bdd440c1 | {
"intermediate": 0.426351398229599,
"beginner": 0.2528441548347473,
"expert": 0.3208044469356537
} |
42,581 | write python program using ada boost algorithm
generate csv files from this code:
import pandas as pd
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn.ensemble import AdaBoostClassifier
from sklearn.metrics import accuracy_score
# Define the number o... | a2360306fb048a53941897a24987271f | {
"intermediate": 0.3659922480583191,
"beginner": 0.3895795941352844,
"expert": 0.2444281280040741
} |
42,582 | I have a code you have to analyse the code and modify it so that we can use same code to map line_items as well.
I am sharing how line_items looks like in given json
"line_items": [
{
"hsn_code": "8443",
"description": "Hp 1606 Pressure Roller",
"unit_of_measurement_or_uom": ... | eec25cb8be338aa050daa7015d2a4280 | {
"intermediate": 0.316036194562912,
"beginner": 0.47156035900115967,
"expert": 0.21240341663360596
} |
42,583 | guide me through on how to setup the mongoDB-databse and run it | face5ff7ab520b1d9f60367c95839f91 | {
"intermediate": 0.8517882227897644,
"beginner": 0.05698922276496887,
"expert": 0.09122250229120255
} |
42,584 | i have 1100 csv files of cryptocurrencies historical data including OHLCV and indicators and etc
each file has 113 columns and between 1000 to 2500 rows
i want to train a cnn model to predict close price of next day based on past 60 days
i want to train model without combining all csv files
give me the proper imp... | d88f17ceb6afbb3756e1ef9c39a7eaa9 | {
"intermediate": 0.264211505651474,
"beginner": 0.08045874536037445,
"expert": 0.6553297638893127
} |
42,585 | перепиши следующий код под PySide6:
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton
from PyQt5.QtGui import QPainter, QBrush, QColor, QPen
from PyQt5.QtCore import Qt, QTimer, QRect
import random
class DrawingWindow(QMainWindow):
def __init__(self, coordinates):
super().__init_... | 69fc53a4f59dfdf5ae689b0f12cbf654 | {
"intermediate": 0.2669590413570404,
"beginner": 0.5326098799705505,
"expert": 0.20043109357357025
} |
42,586 | I want to install a CCTV camera for my house but I should be able to write the software for facial recognition and update it whenever I can | a88cc03e2f0bc22faf320d50f362acc2 | {
"intermediate": 0.28563645482063293,
"beginner": 0.122511126101017,
"expert": 0.5918523669242859
} |
42,587 | based on this code
# -*- coding: utf-8 -*-
"""GPT_for_chatbot_main.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1_Jue7uz455TpSfZpBmX5O6MtUXIyQ6ZP
"""
from google.colab import drive
drive.mount('/content/drive')
! pip install transformers
im... | bc6597b7ed957c962c3bceb50b5b75c7 | {
"intermediate": 0.3290996253490448,
"beginner": 0.31484320759773254,
"expert": 0.35605719685554504
} |
42,588 | Make me a back code for websites | 251769bd2488b0a4d84eca8c010b1645 | {
"intermediate": 0.3484247028827667,
"beginner": 0.3712378442287445,
"expert": 0.2803374230861664
} |
42,589 | i have 1100 csv files of cryptocurrencies historical data including OHLCV and indicators and etc
each file has 113 columns and between 1000 to 2500 rows
i want to train a cnn model to predict close price of next day based on past 60 days
i want to train model without combining all csv files
give me the proper imp... | 0393415e2e9f034d37b067eda2b33755 | {
"intermediate": 0.2590683102607727,
"beginner": 0.07044460624456406,
"expert": 0.670487105846405
} |
42,590 | Send me a py code for making mod menus | f403138033bb1c2921f9db7d20b3f96e | {
"intermediate": 0.43523818254470825,
"beginner": 0.2729821503162384,
"expert": 0.29177963733673096
} |
42,591 | make neovim the development environment | d295ee3342a0f6dffe48a46d0bf9cbc0 | {
"intermediate": 0.2529650032520294,
"beginner": 0.10819298774003983,
"expert": 0.638841986656189
} |
42,592 | import gradio as gr
import requests
API_URL = "https://api-inference.huggingface.co/models/emilianJR/epiCRealism"
headers = {"Authorization": "Bearer {API_TOKEN}"}
def query(prompt):
payload = {"inputs": prompt}
response = requests.post(API_URL, headers=headers, json=payload)
return response.content
ifac... | d0dd2696ba052afaf96c0597eddc0cc6 | {
"intermediate": 0.4404014050960541,
"beginner": 0.31141698360443115,
"expert": 0.24818159639835358
} |
42,593 | I have two models in Django DRF. Should I add something to CustomUser model?
Here the code:
__
#interests of user, like 'Python'[programming], 'web development', etc.
class Interest(models.Model):
name = models.CharField(max_length=100, unique=True)
def __str__(self):
return self.name
class CustomUs... | 3bad45de5aca8c0ea8209ad788d0d6f6 | {
"intermediate": 0.4359378516674042,
"beginner": 0.3974030911922455,
"expert": 0.16665901243686676
} |
42,594 | Привет! вот мой код:
from aiogram import Bot, Dispatcher, types
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.types import ReplyKeyboardMarkup, KeyboardButton, InlineKeyboardMarkup, Inli... | 8c25e1ba3c7d5ec25f7f49cbbc3e088c | {
"intermediate": 0.36273032426834106,
"beginner": 0.5144443511962891,
"expert": 0.12282531708478928
} |
42,595 | from aiogram import Bot, Dispatcher, types
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.types import ReplyKeyboardMarkup, KeyboardButton, InlineKeyboardMarkup, InlineKeyboardButton
impo... | 16ffcc262a4bfe2661e97394fb863b6c | {
"intermediate": 0.3595738112926483,
"beginner": 0.43234744668006897,
"expert": 0.2080787718296051
} |
42,596 | как в следующем окне сделать так чтобы была рамка:
class DrawingWindow(QMainWindow):
def __init__(self, coordinates):
super().__init__()
self.setWindowTitle("Transparent Drawing Window")
self.setGeometry(0, 0, QApplication.primaryScreen().size().width(),
QApplication... | fbf809e43dc754e6160c5e4066686fbd | {
"intermediate": 0.358111709356308,
"beginner": 0.48786935210227966,
"expert": 0.15401898324489594
} |
42,597 | как в следующем окне сделать рамку для изменения размера окна:
class DrawingWindow(QMainWindow):
def __init__(self, coordinates):
super().__init__()
self.setWindowTitle("Transparent Drawing Window")
self.setGeometry(0, 0, QApplication.primaryScreen().size().width(),
... | 02b0f7928593df1f01f535218034fc17 | {
"intermediate": 0.32773062586784363,
"beginner": 0.5093376636505127,
"expert": 0.1629316657781601
} |
42,598 | i have 1100 csv files of cryptocurrencies historical data including OHLCV and indicators and etc
each file has 113 columns and between 1000 to 2500 rows
i want to train a RNN model to predict close price of next day based on past 60 days
i want to train model without combining all csv files
give me the proper imp... | 960b540702d2d98e69d86d217b88663b | {
"intermediate": 0.2950141429901123,
"beginner": 0.08053205907344818,
"expert": 0.6244538426399231
} |
42,599 | {
"rowCount": 4,
"colCount": 4,
"type": 0,
"letters": "WIND",
"words": [
{
"word": "WIND",
"vertical": true,
"rowIndex": 0,
"colIndex": 1,
"coinIndices": [],
"awardCoins": false
},
{
"word": "... | 3efdd108e752fc6775eba1de382aaa93 | {
"intermediate": 0.38598644733428955,
"beginner": 0.303703635931015,
"expert": 0.31030991673469543
} |
42,600 | Give me a code for a web page about ai and make it look really aesthetic and make it look simple not many colors, also use images and buttons | afcb49ed55459cbfc09debfd7146dd82 | {
"intermediate": 0.3121311664581299,
"beginner": 0.15591827034950256,
"expert": 0.5319505929946899
} |
42,601 | i want to run this script only on desktop view not on mobile browsers
<script src="https://zuuzzu.it/wp-content/uploads/panelsnap.js" defer></script>
<script>
document.addEventListener("DOMContentLoaded", function() {
var options = {
panelSelector: '.panel' // Select div elements with... | ac8a7363c7671e6f1d7abe463dc515d0 | {
"intermediate": 0.4234367907047272,
"beginner": 0.31848058104515076,
"expert": 0.2580825984477997
} |
42,602 | List an example of the**Key Skills** section of a Modern Android engineer | c7d6208c37af808f881d54ef9f9f1431 | {
"intermediate": 0.45930859446525574,
"beginner": 0.17391376197338104,
"expert": 0.36677756905555725
} |
42,603 | How to debug it - Segmentation fault (core dumped) | a566b1def561988714a6fe8d537a1df9 | {
"intermediate": 0.6577370166778564,
"beginner": 0.16829714179039001,
"expert": 0.17396587133407593
} |
42,604 | Как у следующего окна сделать event изменения размера и координат для QRect:
class MainWindow(QMainWindow):
def __init__(self, coordinates):
super().__init__()
self.setWindowTitle("Transparent Drawing Window")
self.setGeometry(0, 0, QApplication.primaryScreen().size().width(),
... | 27480168e93da80006fa33b9881176a2 | {
"intermediate": 0.3058611750602722,
"beginner": 0.5430105924606323,
"expert": 0.15112827718257904
} |
42,605 | Напиши 2 скрипта: Client и Server на пайтон | 484c09759027411ef4a1cf657f8f6329 | {
"intermediate": 0.31563541293144226,
"beginner": 0.304922491312027,
"expert": 0.37944209575653076
} |
42,606 | i trained a xgboost model using gride search
i have best_model = grid_search.best_estimator_
how can i save it to a file | 2dbdb17779ce8cd8f07ab252774e1631 | {
"intermediate": 0.20719799399375916,
"beginner": 0.09265533089637756,
"expert": 0.7001466155052185
} |
42,607 | // SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;
contract AssetRegistry {
struct Asset {
string name;
uint256 value;
bool isRegistered;
}
address pubic owner;
mapping(uint256 => Asset) private assets; / A mapping of asset IDs to Assets
uint256 private totalAssetReg... | dac5685ea8aa162e1c9dd5de7b3a30eb | {
"intermediate": 0.4379739761352539,
"beginner": 0.3263269364833832,
"expert": 0.2356991320848465
} |
42,608 | give me a short phrase tu put on my porfolio webpage about a amature data analysit, data scientist, and nex.js web page developer | 896614fe812c90e4f901c617efd8e44a | {
"intermediate": 0.2960613965988159,
"beginner": 0.13043218851089478,
"expert": 0.5735064148902893
} |
42,609 | i'm confused about this github readme. if i want to use function calling in the llm, do i need to download the model with the 'tools' tag? : ""Skip to content
adrienbrault
/
ollama-nous-hermes2pro
Type / to search
Code
Issues
Pull requests
Actions
Projects
Security
Insights
Owner avatar
ollama-nous-hermes2pro
Public
... | ec36ba6885de218642b574c734a3b2fc | {
"intermediate": 0.2928304076194763,
"beginner": 0.3591897785663605,
"expert": 0.3479798436164856
} |
42,610 | test | 7ed10db863e35eb937c4809f04db47e6 | {
"intermediate": 0.3229040801525116,
"beginner": 0.34353747963905334,
"expert": 0.33355844020843506
} |
42,611 | In my below code:"
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import cv2
import random
import tensorflow as tf
import tkinter as tk
from tkinter import filedialog
from PIL import ImageTk, Image
from ipywidgets import interact, interactive, fixed, interact_manual
import ... | a23eb740dc58472d79c5e279d7b5759d | {
"intermediate": 0.31839096546173096,
"beginner": 0.3364259600639343,
"expert": 0.3451830744743347
} |
42,612 | I am developing multi task learning model for pcb soldering defect image classification using google colab:"
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import cv2
import random
import tensorflow as tf
import tkinter as tk
from tkinter import filedialog
from PIL import I... | a39033166d9de2277d57a90d0436a62a | {
"intermediate": 0.3829265832901001,
"beginner": 0.2936139404773712,
"expert": 0.3234594166278839
} |
42,613 | I am developing multi task learning model for pcb soldering defect image classification using google colab:“
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import cv2
import random
import tensorflow as tf
import tkinter as tk
from tkinter import filedialog
from PIL import I... | a3c4db1ad810e5d833ffa2140162b9be | {
"intermediate": 0.3223091959953308,
"beginner": 0.44287610054016113,
"expert": 0.23481465876102448
} |
42,614 | How to make text field only one row long in css? | 1ecec8984a45bb9dcb71b2244413e11c | {
"intermediate": 0.38382667303085327,
"beginner": 0.303310364484787,
"expert": 0.31286290287971497
} |
42,615 | import numpy as np
import sys
if len(sys.argv) > 1:
TEST_DIR = sys.argv[1]
else:
raise RuntimeError('No test directory provided')
GT_DIR = 'labeled/'
def get_mse(gt, test):
test = np.nan_to_num(test)
return np.mean(np.nanmean((gt - test)**2, axis=0))
zero_mses = []
mses = []
for i in range(0,5):
gt = np... | 21736dbec95020e895a348e3c63be105 | {
"intermediate": 0.3612882196903229,
"beginner": 0.36992090940475464,
"expert": 0.2687908709049225
} |
42,616 | in this javascript in the if statement 'if (data && data.length > 1' add a function to allow the user to add a marker to the map, - ' let streetLatitude; // Define streetLatitude globally
let streetLongitude; // Define streetLongitude globally
let marker; // Define marker globally to make it accessible across fu... | e5c54dd6aecac41bbbaa26b03c3b85aa | {
"intermediate": 0.37199270725250244,
"beginner": 0.4129950702190399,
"expert": 0.21501226723194122
} |
42,617 | create a navbar module that ,modern and fully responsive. features aria and off canvas menu | 511bfc52b063d602a4121e2f0173774d | {
"intermediate": 0.41530367732048035,
"beginner": 0.1949283927679062,
"expert": 0.38976794481277466
} |
42,618 | in this javascript in the if statement 'if (data && data.length > 1' add a click event function to allow the user to add a marker to the map, - ' let streetLatitude; // Define streetLatitude globally
let streetLongitude; // Define streetLongitude globally
let marker; // Define marker globally to make it accessib... | ef626b4375b07e6fb414088c6867ba52 | {
"intermediate": 0.4606891870498657,
"beginner": 0.34798866510391235,
"expert": 0.19132214784622192
} |
42,619 | In this javascript after the user adds a marker for the second street view image shown and the distance is calculated to the correct location I want to move on to a third question if there is more data in the json file, to add the next street view from the file - let streetLatitude; // Define streetLatitude globally
... | f8a7bb91484c191704d058d274396ef8 | {
"intermediate": 0.4257596433162689,
"beginner": 0.38680416345596313,
"expert": 0.18743620812892914
} |
42,620 | There is this code:
import numpy as np
import sys
if len(sys.argv) > 1:
TEST_DIR = sys.argv[1]
else:
raise RuntimeError('No test directory provided')
GT_DIR = 'labeled/'
def get_mse(gt, test):
test = np.nan_to_num(test)
return np.mean(np.nanmean((gt - test)**2, axis=0))
zero_mses = []
mses = []
for i in r... | 470752f31ac60c690b3875937c9e1af1 | {
"intermediate": 0.33735358715057373,
"beginner": 0.2712053656578064,
"expert": 0.3914410471916199
} |
42,621 | I have two models in Django DRF. Should I add something to CustomUser model?
Here the code:
__
#interests of user, like 'Python'[programming], 'web development', etc.
class Interest(models.Model):
name = models.CharField(max_length=100, unique=True)
def __str__(self):
return self.name
class CustomUs... | af9d5d621b96e2e44ef23cf702d627e6 | {
"intermediate": 0.4359378516674042,
"beginner": 0.3974030911922455,
"expert": 0.16665901243686676
} |
42,622 | Convert the following into HInglish keeping context and code as is for the following: [ { "from": "human", "value": "Develop a Python code snippet that generates an abbreviated version of a given full name.\nname = \"John Smith\"" }, { "from": "gpt", "value": "Here is a Python code snippet that generates an abbreviated... | 86802009e814da5e73377ea4647b119f | {
"intermediate": 0.38858336210250854,
"beginner": 0.273488849401474,
"expert": 0.33792781829833984
} |
42,623 | Как здесь правильнее снижать размер окна:
if event.pos().x() > self.scaleStartPos.x() and event.pos().x() > self.coordinates[0] + self.coordinates[2]:
print(“chlen”)
self.coordinates[2] = event.pos().x() - self.coordinates[0]
if event.pos().x() < self.scaleStartPos.x() and event.pos().x() < self.coordinates[0] + self.c... | 1418d3ae9f2464d9f1ba92423950644c | {
"intermediate": 0.26619216799736023,
"beginner": 0.5402790904045105,
"expert": 0.19352880120277405
} |
42,624 | Convert the following json into Hinglish keep context and code as is, change any name to Indian name, for the following: [ { "from": "human", "value": "Develop a Python code snippet that generates an abbreviated version of a given full name.\nname = \"John Smith\"" }, { "from": "gpt", "value": "Here is a Python code sn... | f303595d111f769b3fa2dd589b1ba7cc | {
"intermediate": 0.395950049161911,
"beginner": 0.3019464612007141,
"expert": 0.3021034598350525
} |
42,625 | how to train ai model to prdict stock market with alot statges i need the way to make it and codes to train it | 26cf89bbb759f0be9e5e95f74b23d8d5 | {
"intermediate": 0.16303367912769318,
"beginner": 0.08681193739175797,
"expert": 0.750154435634613
} |
42,626 | Hello there | 1579ff91574a3632a440093ca2ed0616 | {
"intermediate": 0.32595759630203247,
"beginner": 0.25228530168533325,
"expert": 0.42175713181495667
} |
42,627 | ONNX converter | 22b4a2b2a3f7f96d72e7180163e5c1b3 | {
"intermediate": 0.23634524643421173,
"beginner": 0.19195133447647095,
"expert": 0.5717034339904785
} |
42,628 | please consider this code first :: use aes::Aes256;
use block_modes::block_padding::Pkcs7;
use block_modes::{BlockMode, Ecb};
use sha2::{Digest, Sha256};
use std::convert::TryInto;
use std::time::{Duration, Instant};
use std::{fs, io, thread};
type Aes256Ecb = Ecb<Aes256, Pkcs7>;
//const ENCRYPTED_AES_KEY: ... | 09736c82fc9165b3a7d182715c172b79 | {
"intermediate": 0.38210538029670715,
"beginner": 0.3589867353439331,
"expert": 0.25890785455703735
} |
42,629 | 1_ Translate the following legal text into colloquial Farsi 2_ Place the Persian and English text side by side in the table 3_ From the beginning to the end of the text, there should be an English sentence on the left side and a Persian sentence on the right side.
4- Using legal language for Persian translation
... | 0f1a5a67002353491f075c530365455b | {
"intermediate": 0.4091769754886627,
"beginner": 0.42527803778648376,
"expert": 0.1655450016260147
} |
42,630 | payload = {"prompt":"A female athlete, sweat and determination on her face captured post-race, shot with Canon EOS R5, hyperrealistic photography, illustrating endurance, strength, and the spirit of competition","nprompt":"","steps":20,"guidenceScale":7,"style":"CINEMATIC","width":1024,"height":1024,"alchemy":True,"pr"... | b6378b7c3f6bc802e9ddb16893a05b49 | {
"intermediate": 0.39562666416168213,
"beginner": 0.2352803647518158,
"expert": 0.3690929412841797
} |
42,631 | can i program TP-Link Tapo L510E to control the light brightness from my computer | a5bec537d390956972d94d29ff96f417 | {
"intermediate": 0.4243294596672058,
"beginner": 0.15953905880451202,
"expert": 0.41613152623176575
} |
42,632 | I am making a C++ SDL based game engine, currently doing the AudioManager, the SoundEffect and the Music classes. I was using SDL_mixer but then I ran into a dilemma, the sound effects provided by the library (Mix_Chunk) has only WAV support, the only part with MP3 and several other formats is Mix_Music. Would it be ha... | 120696e68ba1a23dbb49afda2d707d7c | {
"intermediate": 0.7310341000556946,
"beginner": 0.1664038598537445,
"expert": 0.1025620847940445
} |
42,633 | he | a9d045f20a7a9889f2790962f4d49ab9 | {
"intermediate": 0.33036425709724426,
"beginner": 0.2774354815483093,
"expert": 0.3922002911567688
} |
42,634 | pip install | 781190be7fabd9b036af200a2387ff94 | {
"intermediate": 0.46967965364456177,
"beginner": 0.2096761167049408,
"expert": 0.32064417004585266
} |
42,635 | hi | 528e99d19e380e94491b8849acb1711e | {
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
} |
42,636 | Hey | 6c105ebd9c674204dd4fc00d28892dec | {
"intermediate": 0.3360580503940582,
"beginner": 0.274208664894104,
"expert": 0.38973328471183777
} |
42,637 | dict = {'aaa':123, 'bbb': 234, 'abc':fe}
if 'abc' in dict
how to check if key exists | 3998806dc39e3d3db1b6c03a41ac2278 | {
"intermediate": 0.38646069169044495,
"beginner": 0.27844512462615967,
"expert": 0.3350942134857178
} |
42,638 | please help me run this project. i cloned the github using command prompt. now, what command do i type to start it? :""Skip to content
oobabooga
/
text-generation-webui
Type / to search
Code
Issues
243
Pull requests
30
Discussions
Actions
Projects
Wiki
Security
Insights
Owner avatar
text-generation-webui
Public
oobab... | 29f511d33c526616cedfb75663fec8d0 | {
"intermediate": 0.4442797899246216,
"beginner": 0.2879008948802948,
"expert": 0.267819344997406
} |
42,639 | I have 2 python scripts that are constantly writing and reading one json file. how to make sure that the file doesnt get damaged when one programs is writing while the other one does. just some kind of prevention so theyt both would be wiritng at the same time, like wait if other is writing | 23391d9278c975273893c4bae44ee904 | {
"intermediate": 0.4465523958206177,
"beginner": 0.24439042806625366,
"expert": 0.3090571165084839
} |
42,640 | Please modify this code to only use a decoder transformer not both an encoder and a decoder, i want it to be state of the art for its size, code: import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import DataLoader, Dataset
from collectio... | 69c2e14c1f10028cb06846e3187009d1 | {
"intermediate": 0.3181028962135315,
"beginner": 0.31277555227279663,
"expert": 0.3691215515136719
} |
42,641 | I have 2 python scripts that are constantly writing and reading one json file. how to make sure that the file doesnt get damaged when one programs is writing while the other one does. just some kind of prevention so theyt both would be wiritng at the same time, like wait if other is writing | 8ccdf6b4fb5c082fc200592f8811f960 | {
"intermediate": 0.4465523958206177,
"beginner": 0.24439042806625366,
"expert": 0.3090571165084839
} |
42,642 | hello | 6d54f20d7cf1d01b3d4c6b9b81f41464 | {
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
} |
42,643 | is there fulter to disable new wordpress image lightbox globally | 426b28cb4b99f8cb13c7ed264dcdb6f8 | {
"intermediate": 0.3678833246231079,
"beginner": 0.24064461886882782,
"expert": 0.39147207140922546
} |
42,644 | Hello | 4935bf92a8c712e30a6bda3856065812 | {
"intermediate": 0.3123404085636139,
"beginner": 0.2729349136352539,
"expert": 0.4147246778011322
} |
42,645 | I have 2 python scripts that are constantly writing and reading one json file. how to make sure that the file doesnt get damaged when one programs is writing while the other one does. just some kind of prevention so theyt both would be wiritng at the same time, like wait if other is writing. i use windows 10 | f72275e038c283cb5b845dba66733c18 | {
"intermediate": 0.4162687361240387,
"beginner": 0.32389676570892334,
"expert": 0.25983455777168274
} |
42,646 | class JsonFile():
def load(file_path):
lock = FileLock(f"{file_path}.lock")
with lock:
while True:
try:
with open (file_path, encoding='utf-8') as file:
return json.load(file)
except BaseException as ex:
Print(str(ex) + '\n', 'red')
wait(4)
def save(file_path):
lock = FileLock(... | cfa238fddb7f2fb7bbd875246b195f2d | {
"intermediate": 0.4210871756076813,
"beginner": 0.38104334473609924,
"expert": 0.1978694200515747
} |
42,647 | this function is for question answering task target is answer given a contexts
def preprocess_function(examples):
questions = [q.strip() for q in examples["question"]]
inputs = tokenizer(
questions,
examples["context"],
max_length=384,
truncation="only_second",
return_of... | 0b38fbffe8a2c0bb4f5dd3f659ebc585 | {
"intermediate": 0.27421173453330994,
"beginner": 0.4887039363384247,
"expert": 0.23708432912826538
} |
42,648 | from taipy.gui import Gui
from keras import models
model=models.load_model("baseline_mariya.keras")
File "C:\Users\mehrab\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\saving\saving_api.py", line 185, in load_model
raise ValueError(
ValueError: File not found: filepath=baseline_mariya.keras... | 4b3430f893332cc4a11fa90dd84acd3a | {
"intermediate": 0.44644537568092346,
"beginner": 0.26096001267433167,
"expert": 0.2925946116447449
} |
42,649 | i have a trained xgboost classification model that predict data is label 0,1 or2 ...
i want to fetch datas in my test_set that model predicted as label 2 and also 2 rows after them from my df and save them in a new csv file
give me the proper code to do so | 556a6fbd69e31fd72b639b57219c5a74 | {
"intermediate": 0.3688882887363434,
"beginner": 0.08527675271034241,
"expert": 0.5458349585533142
} |
42,650 | I have this code to scrape a webpage. How can it be improved?
import csv
import time
from bs4 import BeautifulSoup
from selenium import webdriver
# Set up Selenium WebDriver
options = webdriver.ChromeOptions()
options.add_experimental_option("debuggerAddress", "127.0.0.1:9222")
driver = webdriver.Chrome(options=optio... | d66d177142ecd305916b87714e7e1aee | {
"intermediate": 0.44007036089897156,
"beginner": 0.42433515191078186,
"expert": 0.1355944573879242
} |
42,651 | hello | b267302a58852a4115cccff93edf2ea3 | {
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
} |
42,652 | i have read and separated my data to train and dev and test set as following :
df = pd.read_csv(
X = df.drop("Label", axis=1)
Y = df["Label"]
X_train, X_temp, y_train, y_temp = train_test_split(X, Y, train_size = 0.94, random_state = RANDOM_STATE)
# We will keep the shuffle = True since our dataset has not any time... | 42da75aee057ef3c4581b85fe2ffdbf3 | {
"intermediate": 0.410042405128479,
"beginner": 0.16561906039714813,
"expert": 0.42433851957321167
} |
42,653 | i want to rename my csv file fifth column to Volume target pair
give me the proper python code to do it | e47e10b4669dd8c1c24378377f287e1d | {
"intermediate": 0.4192247688770294,
"beginner": 0.27063727378845215,
"expert": 0.31013792753219604
} |
42,654 | I have a series of py strings by similar format.
`x = "One Two (Three-3)"`
"(Three-3)" is meant to be the last word from x string. I need a code that extract this last word from the string. | 037d2cda46f9ed75820d0f891821db82 | {
"intermediate": 0.39438703656196594,
"beginner": 0.22077877819538116,
"expert": 0.3848342001438141
} |
42,655 | i have a csv file that countains some columns
i want to merg following columns and make them one(named tragrt_pair_volume) :
Volume BTC, Volume BUSD, Volume USDT, Volume BNB, Volume ETH
give me the proper python code to do it | 1fbb306da2dbd15aafdbfd367075c93c | {
"intermediate": 0.5321618318557739,
"beginner": 0.2736949026584625,
"expert": 0.19414322078227997
} |
42,656 | I am making a C++ SDL based game engine, currently installing SDL mixer X, because it supports more formats and is better than the original. I compiled it, and previously it asked for several libraries to be installed like opus, or fluidsynth, wavpack etc., but then the compiled .so doesn't show them, why?
> make -j 4... | 31f18660656b7ee7a3815f5341ab28e5 | {
"intermediate": 0.3788275718688965,
"beginner": 0.3899247944355011,
"expert": 0.23124763369560242
} |
42,657 | {
"name": "ValueError",
"message": "not enough values to unpack (expected 6, got 4)",
"stack": "---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[9], line 1
----> 1 X_train, X_temp, y_train, y_temp, indices_... | 299d505a148c26ac10e9f27f0c48048d | {
"intermediate": 0.3908286392688751,
"beginner": 0.3591616749763489,
"expert": 0.2500096261501312
} |
42,658 | class WebpageQATool(BaseTool):
name = "query_webpage"
description = "Browse a webpage and retrieve the information and answers relevant to the question. Please use bullet points to list the answers"
text_splitter: RecursiveCharacterTextSplitter = Field(default_factory=_get_text_splitter)
qa_chain: BaseC... | 85f4f7243a7429b4575fb959c0b91017 | {
"intermediate": 0.44598814845085144,
"beginner": 0.3424491584300995,
"expert": 0.21156275272369385
} |
42,659 | Hi | 283c80e0b00e1295dd5415f09109b74f | {
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
} |
42,660 | i trained a decision tree using xgboost
based on confusion matrix the model performance on test set is :
[[18321 1233 849]
[ 2631 5129 174]
[ 3515 532 2993]]
explain it to me please | 6e770b25056eeb9ed3b237f25db57baa | {
"intermediate": 0.1468021422624588,
"beginner": 0.07315409928560257,
"expert": 0.7800437211990356
} |
42,661 | how to solve this with excel AND MINITab: In this assignment you will be evaluating the potential to use a small river in the Annapolis Valley as an
irrigation water source for an agricultural producer. The drainage area of the river at the location where
the farmer wants to withdraw water is 13 km2 and is characterize... | 7717ace292e6e4a1a99d09ffd16cff07 | {
"intermediate": 0.4239434003829956,
"beginner": 0.3325038552284241,
"expert": 0.24355274438858032
} |
42,662 | Genetics - Design a Species
Objective: In this project, you are going to design your own species of gingerbread person, coffee mug,
penguin, or elf by giving it traits that follow genetic rules from this unit. The creature should have at least 5
genetic traits from the following list. You are free to create whatever tr... | f7850c168b0c61acbd6ebb0dbc9a44fa | {
"intermediate": 0.30025163292884827,
"beginner": 0.4408763349056244,
"expert": 0.25887200236320496
} |
42,663 | i have trained a decision tree model using xgboost following in confusion matrix:
- Class 0:
- Precision ≈ 90%
- Recall ≈ 75%
- Class 1:
- Precision ≈ 65%
- Recall ≈ 74%
- Class 2:
- Precision ≈ 43%
- Recall ≈ 75%
[[18321 1233 849]
[ 2631 5129 174]
[ 3515 532 2993]]
i want to increase my percision on c... | 94cb2b620f68d9751457588710562c77 | {
"intermediate": 0.42427411675453186,
"beginner": 0.0762401893734932,
"expert": 0.49948570132255554
} |
42,664 | I have developed a code - """import numpy as np
from langchain.embeddings import HuggingFaceEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Chroma
from langchain.document_loaders import PyPDFLoader
from langchain import HuggingFacePipeline
from langchain ... | a76b4d81f08ad44ba7991b3f82922b6b | {
"intermediate": 0.38751325011253357,
"beginner": 0.3611988425254822,
"expert": 0.25128793716430664
} |
42,665 | I have written a code to create a PDF QA Bot. The code for it is - """import numpy as np
from langchain.embeddings import HuggingFaceEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Chroma
from langchain.document_loaders import PyPDFLoader
from langchain i... | 624622dd1bbb6f014467d50e929c24d2 | {
"intermediate": 0.4135771095752716,
"beginner": 0.2737700641155243,
"expert": 0.3126528561115265
} |
42,666 | I have written a code to create a PDF QA Bot. The code for it is - “”“import numpy as np
from langchain.embeddings import HuggingFaceEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Chroma
from langchain.document_loaders import PyPDFLoader
from langchain i... | 0d23b98517f68dc4f13e6145cd152cf4 | {
"intermediate": 0.3537980318069458,
"beginner": 0.35009175539016724,
"expert": 0.2961101531982422
} |
42,667 | Hi tell me about your self ? | 1edce965febaa088abdd08bc39ce57f4 | {
"intermediate": 0.4020518660545349,
"beginner": 0.3579951822757721,
"expert": 0.2399529218673706
} |
42,668 | как в QPainter-е сделать resizeable QRect, который можно изменять как размер окна | 04f7fd39c883f0a8a1987cc747ec08fc | {
"intermediate": 0.3409753739833832,
"beginner": 0.28955477476119995,
"expert": 0.36946985125541687
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.