row_id int64 0 48.4k | init_message stringlengths 1 342k | conversation_hash stringlengths 32 32 | scores dict |
|---|---|---|---|
46,787 | in this javascript for leafletjs I want to add an event listener for the buyRoads button with the condition if money >= 50,000 console log 'buy roads' - 'var popupContent2 = `
<br/>Buy the land around ${secondCity} Station to start earning rent every day<br/>
<button id="stationtwo" class="trainbutton">Buy Land for... | 325a339334e0d738a1b83a46c06f1863 | {
"intermediate": 0.3737408220767975,
"beginner": 0.4375252425670624,
"expert": 0.18873390555381775
} |
46,788 | how can i check my tensorflow version | beec08b4b0cfd5ac7dce8b87c114954c | {
"intermediate": 0.4028242826461792,
"beginner": 0.15463542938232422,
"expert": 0.44254034757614136
} |
46,789 | //
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by FernFlower decompiler)
//
package org.springframework.batch.core;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.Date;
i... | 5e41d03eb096d2b09036f74be3dbb07f | {
"intermediate": 0.33688443899154663,
"beginner": 0.4590712785720825,
"expert": 0.20404428243637085
} |
46,790 | write a c code for this "w24fz size1 size2
o The serverw24 must return to the client temp.tar.gz that contains all the files
in the directory tree rooted at its ~ whose file-size in bytes is >=size1 and
<=size2
size1 < = size2 (size1>= 0 and size2>=0)
o If none of the files of the specified size are present, the serv... | 63674e6bc412c3fbb58e3f022e4575c5 | {
"intermediate": 0.39427173137664795,
"beginner": 0.31679484248161316,
"expert": 0.2889333963394165
} |
46,791 | C:\Users\arisa>python3 -m pip install tensorflow[and-cuda]
Python was not found; run without arguments to install from the Microsoft Store, or disable this shortcut from Settings > Manage App Execution Aliases. | 625257b44d6b4fe928ce76ebaa6789ac | {
"intermediate": 0.41257598996162415,
"beginner": 0.17179465293884277,
"expert": 0.4156293272972107
} |
46,792 | i installed followings in conda:
conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0
how can i uninstall them | c80616965e61b1b7f2c31fbbca7ed911 | {
"intermediate": 0.521062433719635,
"beginner": 0.22611132264137268,
"expert": 0.2528262436389923
} |
46,793 | corrige ce code en faisant en sorte que il est deux inputs :
# Import necessary modules and packages
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, LSTM, Embedding, Dense, Masking
from tensorflow.keras.optimizers import Adam
# Define hyperparameters
embedding_dim = 200
lstm_units ... | 1d644ae1e453864c06d60a270ffa3490 | {
"intermediate": 0.3025532364845276,
"beginner": 0.15775826573371887,
"expert": 0.5396884083747864
} |
46,794 | //
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by FernFlower decompiler)
//
package org.springframework.batch.core;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Colle... | 504f5b51493d39cd3c2104cd87b9d641 | {
"intermediate": 0.3504513204097748,
"beginner": 0.4806583821773529,
"expert": 0.16889025270938873
} |
46,795 | The kernel failed to start as 'TypeAliasType' could not be imported from 'c:\Users\arisa\AppData\Local\Programs\Python\Python310\lib\site-packages\typing_extensions.py'.
Click here for more info. | 72a281af466e5d0057dccd07e2d07ce1 | {
"intermediate": 0.3358921408653259,
"beginner": 0.31427884101867676,
"expert": 0.3498290181159973
} |
46,796 | import matplotlib.pyplot as plt
from tensorflow.keras.utils import plot_model
# Create the model
encoder_inputs = Input(shape=(200,))
encoder_embedding = Embedding(input_dim=vocab_size_en, output_dim=embedding_dim, mask_zero=True)(encoder_inputs)
encoder_outputs, state_h, state_c = LSTM(lstm_units, return_state=True)(... | 723aee6d5c77296b58c0766305be5cdb | {
"intermediate": 0.3867577612400055,
"beginner": 0.26395630836486816,
"expert": 0.34928590059280396
} |
46,797 | How do i install wine on astra linux? | c20cedf1b7cfdf0a49943b75eddc177f | {
"intermediate": 0.5421147346496582,
"beginner": 0.24283619225025177,
"expert": 0.21504908800125122
} |
46,798 | porter_stemmer =PorterStemmer()
#--------------------------------------
def fn_preprocess_question(question):
return ' '.join([porter_stemmer.stem(word) for word in question.split()])
dict_predefined_answers ={
"Who are you":"I am the SAMS bot, your Virtual Sales Assistant. I’m here to help you navigate through... | 66d2be6c59f536b467ad40734e6d6dd4 | {
"intermediate": 0.41154348850250244,
"beginner": 0.32434946298599243,
"expert": 0.2641070485115051
} |
46,799 | Добавь в этот код возможность использовать прокси: param (
[Parameter(Mandatory=$true)]
[string]$UrlListFilePath
)
if (-not $UrlListFilePath) {
Write-Host "Path to the file is not provided."
exit 1
}
if (-not (Test-Path -Path $UrlListFilePath)) {
Write-Host "File not found: $UrlListFilePath"
e... | a6d7ffde00e30905c8934ed81b051ef0 | {
"intermediate": 0.40210750699043274,
"beginner": 0.454921156167984,
"expert": 0.14297132194042206
} |
46,800 | Hi! Come up with fully working c++ program which uses djikstra algorithm with priority queue using binary heap as implementation. You are not allowed to use external libraries. You laso have to implement class graph, edge, vertex and priority queue with binary heap.
Task: Given an oriented graph, determine if it has ... | 1449636314679fb90993d93442d1e02c | {
"intermediate": 0.42127564549446106,
"beginner": 0.2429807037115097,
"expert": 0.33574363589286804
} |
46,801 | In typescript, the type Record<K, T> represents an object type with property keys that are K. But I fail to see how you could use anything else but string or number for this, or some subset of these two types. What would it even mean for an object to have keys that are of type, say Foo: {one: number, two: string}? Is m... | 570e4438e2e0eeea4e9d3c38fed0db17 | {
"intermediate": 0.5337580442428589,
"beginner": 0.2312050759792328,
"expert": 0.23503687977790833
} |
46,802 | I am making a SDL based C++ game engine, and I need help on transforming all my SDL raw pointers into smart pointers.
1) How is the format for creating them?
- TTF_Font* font; transform into std::unique_ptr<TTF_Font, TTF_CloseFont> font; ?
- SDL_Texture* texture; transform into ???
- SDL_Window* window; transform int... | aefae869020456376d032f195779866f | {
"intermediate": 0.6915609836578369,
"beginner": 0.1801348179578781,
"expert": 0.12830419838428497
} |
46,803 | split the audio file of wav file in most quality into vocals, guitar, drums , piano etc without loss | 0d28fe187792c0f3dbfe15328737aafa | {
"intermediate": 0.39845338463783264,
"beginner": 0.20206958055496216,
"expert": 0.3994770646095276
} |
46,804 | import pandas as pd
from pymystem3 import Mystem
import re
data = pd.read_table('SMSSpamCollection',sep='\t')
data.reset_index(inplace = True)
data = data.rename(columns = {'index': 'ham'})
corpus = data['text'].values.astype('U') | c0e2e167af3bbec6a7e1ee3e7d59d212 | {
"intermediate": 0.4843616485595703,
"beginner": 0.2938971221446991,
"expert": 0.221741184592247
} |
46,805 | напиши покупку, регистрацию и отмену билетов
from tkinter import *
# Паспорт пассажира
class Passport:
def __init__(self, name, surname, series, number):
self.__series = series
self.__number = number
self.__name = name
self.__surname = surname
# Геттер серии паспорта
@prop... | 8a675fbe7f04114e898eaa223d6393f7 | {
"intermediate": 0.20966340601444244,
"beginner": 0.6283963322639465,
"expert": 0.16194027662277222
} |
46,807 | Hi! Please, adjust my program for the given task. You have to implement Djikstra algorithm using Priority queue which is implemented using binary heap. You are not allowed to use additional libraries.
Task:
Given an oriented graph, determine if it has a cycle of negative weight and print it (if exists).
Input
Input's... | 2082ec04245889ed4027497627c47450 | {
"intermediate": 0.413147896528244,
"beginner": 0.35242441296577454,
"expert": 0.23442766070365906
} |
46,808 | onuploadprogress axios typescript example | 8c62f016ea2e97311baac4e40cae2cf6 | {
"intermediate": 0.23916547000408173,
"beginner": 0.43786683678627014,
"expert": 0.3229677081108093
} |
46,809 | Defaulting to user installation because normal site-packages is not writeable
ERROR: Could not find a version that satisfies the requirement tensorflow<2.11 (from versions: 2.12.0rc0, 2.12.0rc1, 2.12.0, 2.12.1, 2.13.0rc0, 2.13.0rc1, 2.13.0rc2, 2.13.0, 2.13.1, 2.14.0rc0, 2.14.0rc1, 2.14.0, 2.14.1, 2.15.0rc0, 2.15.0rc1, ... | 859d95d14b189f7df982e75566ced4f8 | {
"intermediate": 0.3208305835723877,
"beginner": 0.3705481290817261,
"expert": 0.30862125754356384
} |
46,810 | {
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "3UeycYCyxDfE"
},
"source": [
"# TRANSLATOR"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8BfUjVxBcz5N"
},
"source": [
"## instalation"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "WXqM38xBRHu2"
},
"outputs": [],
"source": ... | 5371ec069a20efac38d207a4e1a1694b | {
"intermediate": 0.3376249372959137,
"beginner": 0.42616572976112366,
"expert": 0.23620924353599548
} |
46,811 | make it 1 liner
for session, session_info in sessions.items():
if session_info[‘posts sent’]:
length_with_posts+=1 | 2dc721306e48612a34075619a613ec47 | {
"intermediate": 0.27735060453414917,
"beginner": 0.5434809923171997,
"expert": 0.17916841804981232
} |
46,812 | pip install sklearn
Collecting sklearn
Downloading sklearn-0.0.post12.tar.gz (2.6 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [15 lines of output]
The 'sklearn' PyPI package is deprecated, use ... | 4f1326d445089b9afa0ac3581b1f5639 | {
"intermediate": 0.30493244528770447,
"beginner": 0.336834579706192,
"expert": 0.35823291540145874
} |
46,813 | Given the following byte stream represented in binary:
0 0 1 1 1 0 0 1
1 1 0 0 0 0 1 0
1 0 1 1 0 0 0 1
1 1 0 0 0 0 1 0
1 0 1 1 0 1 0 1
1 1 1 1 0 0 0 0
1 0 0 1 1 1 1 1
1 0 0 0 1 1 0 0
1 0 1 0 1 1 0 1
Assuming that the above bytes constitute a valid UTF-8 byte stream, how many Unicode... | 105855430fef51cce3785a1559534af7 | {
"intermediate": 0.41113999485969543,
"beginner": 0.333779513835907,
"expert": 0.25508052110671997
} |
46,814 | which type response must be
function uploadFile(){
if(state.selectedFiles !== undefined){
let currentFile = state.selectedFiles[0];
setState({
...state,
progress: 0,
currentFile: currentFile,
})
upload(currentF... | 56f9c0035c3179853c0fda85338e6386 | {
"intermediate": 0.37335050106048584,
"beginner": 0.3539656400680542,
"expert": 0.2726838290691376
} |
46,815 | python extract filename from filepath | 398cc71e89239bf74472622b56910f89 | {
"intermediate": 0.44093990325927734,
"beginner": 0.20821142196655273,
"expert": 0.3508486747741699
} |
46,816 | how to see directories in path system variable on windows on terminal? | 75c43ae8ec1ffd084cd37f8162a8c24e | {
"intermediate": 0.38917994499206543,
"beginner": 0.345529705286026,
"expert": 0.2652903199195862
} |
46,817 | create auto login python script for a site, this is the source :
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"><html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta http-equiv="X-UA-Compatible" content="IE=9"><title>LOGIN</title><link rel="stylesheet" type="text/css" hre... | 28e1417e9ebd4b1c33aaca60e9f0b9e8 | {
"intermediate": 0.30604150891304016,
"beginner": 0.4853309690952301,
"expert": 0.20862749218940735
} |
46,818 | I have a list of columns. I want to extqract the columns of df that are not in that list | 790e8baa775541a7a2be0c0bb66b95f2 | {
"intermediate": 0.39271867275238037,
"beginner": 0.26389360427856445,
"expert": 0.34338775277137756
} |
46,819 | When getting rid of a hard drive, is it better to write it full of zeroes or random data? | 83b5d56830c4b99e3b2e8765466796f2 | {
"intermediate": 0.3166959285736084,
"beginner": 0.28032997250556946,
"expert": 0.40297406911849976
} |
46,820 | # Step 1: Ensure you’ve got the necessary packages installed and loaded:
if (!require(quadprog)) install.packages("quadprog")
if (!require(PerformanceAnalytics)) install.packages("PerformanceAnalytics")
library(quadprog)
library(PerformanceAnalytics)
# Step 2: Prepare your data based on the selected assets from both... | 5c114eaeefba7b4e07654a719e16317f | {
"intermediate": 0.40354013442993164,
"beginner": 0.32102280855178833,
"expert": 0.27543705701828003
} |
46,821 | User
is their any way in R studio to find out how the table in enviorment was created ? | 16c683f1a7ebd09ad5f02999b7eba3d0 | {
"intermediate": 0.4673639237880707,
"beginner": 0.1454220414161682,
"expert": 0.3872140347957611
} |
46,822 | How to use ocrmypdf? | bd3493b9b96c0eebd3c1af18eceee17f | {
"intermediate": 0.23292656242847443,
"beginner": 0.14065755903720856,
"expert": 0.6264158487319946
} |
46,823 | my code:
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
def calculate_features_scaling_params(file_path, features_to_drop):
scaler = StandardScaler()
for chunk in pd.read_csv(file_path, chunksize=10000): # Adjust chunksize based on you... | f749471a106353a7713789073a8c06a9 | {
"intermediate": 0.2623293101787567,
"beginner": 0.37518081068992615,
"expert": 0.36248987913131714
} |
46,824 | File "C:\Users\Administrator.DESKTOP-3HB1DA0\AppData\Local\Programs\Python\Python312\Lib\site-packages\langchain_community\tools\yahoo_finance_news.py", line 9, in <module>
from langchain_community.document_loaders.web_base import WebBaseLoader
File "C:\Users\Administrator.DESKTOP-3HB1DA0\AppData\Local\Programs\P... | 99a361cfcad6757ea99ec0c338a83922 | {
"intermediate": 0.4206558167934418,
"beginner": 0.3226172924041748,
"expert": 0.25672686100006104
} |
46,825 | can i attach multiple textures framebuffer | fdb0f8c5ae2214ff9fcdee00ab7655fb | {
"intermediate": 0.4652262330055237,
"beginner": 0.23398855328559875,
"expert": 0.30078527331352234
} |
46,826 | i have a 3070 gpu
im training a NN model using tensorflow gpu, but only 10% of the gpu is engaged during training
how can i use full capacity of my gpu?
here is my code:
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
def calculate_features_sca... | d3fbe09a22b848cbf4bab2f1cb782199 | {
"intermediate": 0.25347429513931274,
"beginner": 0.4146735370159149,
"expert": 0.3318521976470947
} |
46,827 | i have following code to train a NN model on my data :
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
def calculate_features_scaling_params(file_path, features_to_drop):
scaler = StandardScaler()
for chunk in pd.read_csv(file_path, chun... | 2256aa604db13c6798716c04e1a218e7 | {
"intermediate": 0.23331570625305176,
"beginner": 0.44527754187583923,
"expert": 0.3214067220687866
} |
46,828 | My code is not working, the canvas is not plotting the analyser data, help me out:
analyser.fftSize = 2048;
const bufferLength = analyser.frequencyBinCount;
const dataArray = new Uint8Array(bufferLength);
const canvas = document.getElementById("canvas");
const canvasCtx = canvas.getContext... | 9373bcb8bf6ce25542c716dfa538373f | {
"intermediate": 0.6800503134727478,
"beginner": 0.17430134117603302,
"expert": 0.14564840495586395
} |
46,829 | i have following code to train a NN model on my data :
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
def calculate_features_scaling_params(file_path, features_to_drop):
scaler = StandardScaler()
for chunk in pd.read_csv(file_path, chunksize=10... | a037aad3b841a4a5590b4b3c6619b1eb | {
"intermediate": 0.40946394205093384,
"beginner": 0.36811649799346924,
"expert": 0.22241954505443573
} |
46,830 | why is this changing my self.list variable?
list_a = [{'a':'z',},{'a':'zz',},{'a':'zzz',}]
class Test:
def __init__(self, list):
self.list = list
def update(self):
self.element = random.choice(self.list)
for element in self.list:
print(element['a'])
list_b = ['1','2','3']
self.element['a'] = self.ele... | 1d0407ed7d2408ca248af4942a11e836 | {
"intermediate": 0.2580011487007141,
"beginner": 0.5805413126945496,
"expert": 0.16145753860473633
} |
46,831 | # Assuming ‘price_data’ is a data frame with the first column as ‘Date’ and the rest as asset prices.
# Converting price data to log returns for individual assets
prices <- as.matrix(price_data[,-1]) # Exclude ‘Date’ column and convert to a matrix
log_returns <- diff(log(prices)) # Calculate log returns
# Handling mis... | 8c58480c332a6c5c81c50844bc4e900e | {
"intermediate": 0.3548296093940735,
"beginner": 0.38910555839538574,
"expert": 0.25606486201286316
} |
46,832 | I have log_returns calculated but for all 15 assets
If you already have log_returns calculated for all 15 assets but need to apply optimizations for subsets defined by strategy1_selection and strategy2_selection, your task is now to filter log_returns to match these subsets and then proceed with the optimization proces... | dd910c30212418fabfad00ec1f525169 | {
"intermediate": 0.2869262993335724,
"beginner": 0.18534153699874878,
"expert": 0.5277321934700012
} |
46,833 | I have log_returns calculated but for all 15 assets
If you already have log_returns calculated for all 15 assets but need to apply optimizations for subsets defined by strategy1_selection and strategy2_selection, your task is now to filter log_returns to match these subsets and then proceed with the optimization proces... | e1a2c273645b79bc9997033c35c0ce83 | {
"intermediate": 0.2793777585029602,
"beginner": 0.17567184567451477,
"expert": 0.5449503660202026
} |
46,834 | I have log_returns calculated but for all 15 assets
If you already have log_returns calculated for all 15 assets but need to apply optimizations for subsets defined by strategy1_selection and strategy2_selection, your task is now to filter log_returns to match these subsets and then proceed with the optimization proces... | 504c76075ae0661903afceab16cf3fe0 | {
"intermediate": 0.2793777585029602,
"beginner": 0.17567184567451477,
"expert": 0.5449503660202026
} |
46,835 | log_returns_strategy1 <- log_returns[, colnames(log_returns) %in% strategy1_selection$Ticker]
I ran the above for strategy 1 which has 5 assets but after the above table got created their is only 4 assets ....What to do? | 7fd67e1d3630aeccd3f2cedec9098fc8 | {
"intermediate": 0.35487499833106995,
"beginner": 0.30430811643600464,
"expert": 0.340816855430603
} |
46,836 | From the beginning to the end, there should be an English sentence and a Persian sentence on the right side, and put the Persian and English text side by side in the table.
.The English legal system also applies to Wales and is often closely followed in Northern Ireland. It has two types of law:
"(a) Commo... | 83b63ce35511bd602ee337ce258b8af8 | {
"intermediate": 0.22441741824150085,
"beginner": 0.699193000793457,
"expert": 0.07638955861330032
} |
46,837 | From the beginning to the end, there should be an English sentence and a Persian sentence on the right side, and put the Persian and English text side by side in the table.
.The English legal system also applies to Wales and is often closely followed in Northern Ireland. It has two types of law:
"(a) Commo... | e4e46d238b5c5da2ee7cc721ef2604c7 | {
"intermediate": 0.22441741824150085,
"beginner": 0.699193000793457,
"expert": 0.07638955861330032
} |
46,838 | Create a ROBLOX game called “Super Why!: Super Readers to the Rescue!” where the game takes place in the land of Storybrook Village, a place where all Fairytale characters reside together in a loving, peaceful community. Whyatt will begin the show by greeting the viewers when he suddenly gets a call from someone who ne... | 5eda68c32491cd9c45bbce56299edee0 | {
"intermediate": 0.4363112151622772,
"beginner": 0.3709159195423126,
"expert": 0.19277285039424896
} |
46,839 | Heres how:
Enable asahi-krun copr: https://copr.fedorainfracloud.org/coprs/slp/asahi-krun/
Install krunvm
Enter these commands: sudo dnf remove libkrunfw libkrun, sudo dnf install libkrunfw-4.0.0~asahikrun-1.fc39 libkrun-1.6.0~asahikrun-3.fc39
Clone virglrenderer repo with asahi-native context: git clone https://gi... | 14d1b39bfb590bd9a4e0b613d7ea1d3e | {
"intermediate": 0.6258096694946289,
"beginner": 0.1468244045972824,
"expert": 0.22736597061157227
} |
46,840 | How do I setup a gl framebuffer so I can visualize the stencil buffer? | 62d9973fa532e34c742233c5b903abff | {
"intermediate": 0.49672335386276245,
"beginner": 0.1842087209224701,
"expert": 0.31906798481941223
} |
46,841 | void main()
{
FragColor = vec4(vec3(gl_FragCoord.z), 1.0);
}
You can do this to visualize the depth buffer, but how do I visualize a stencil buffer? | 9b206bc25958359d62e5f6df64f1099f | {
"intermediate": 0.6474024057388306,
"beginner": 0.10054154694080353,
"expert": 0.2520561218261719
} |
46,842 | void main()
{
FragColor = vec4(vec3(gl_FragCoord.z), 1.0);
}
You can do this to visualize a depth buffer, but how do you visualize a stencil buffer/ | 8242c53096ff4de0eb938e92fde6b9cd | {
"intermediate": 0.5959963202476501,
"beginner": 0.14033736288547516,
"expert": 0.2636662423610687
} |
46,843 | [root@asahi-krun /]# curl -OL https://mirrors.cloud.tencent.com/rpmfusion/nonfree/fedora/steam/38/x86_64/s/steam-1.0.0.78-1.fc38.i686.rpm
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 159 100 159 ... | c953b148bf44537ee1be972e7e6e1544 | {
"intermediate": 0.3498469889163971,
"beginner": 0.3491653501987457,
"expert": 0.3009876608848572
} |
46,844 | [root@asahi-krun /]# curl -OL https://mirrors.cloud.tencent.com/rpmfusion/nonfree/fedora/steam/38/x86_64/s/steam-1.0.0.78-1.fc38.i686.rpm
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 159 100 159 ... | 1ab7eb70f635baaabef47f3b46aefd45 | {
"intermediate": 0.3498469889163971,
"beginner": 0.3491653501987457,
"expert": 0.3009876608848572
} |
46,845 | [root@asahi-krun /]# curl -OL https://mirrors.cloud.tencent.com/rpmfusion/nonfree/fedora/steam/38/x86_64/s/steam-1.0.0.78-1.fc38.i686.rpm
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 159 100 159 ... | 189778af2b5417243cba8b411fe2790d | {
"intermediate": 0.3498469889163971,
"beginner": 0.3491653501987457,
"expert": 0.3009876608848572
} |
46,846 | Im storing stencil here:
glRenderbufferStorage(GL_RENDERBUFFER, GL_DEPTH24_STENCIL8, getWidth(), getHeight());
glFramebufferRenderbuffer(GL_FRAMEBUFFER, GL_DEPTH_STENCIL_ATTACHMENT, GL_RENDERBUFFER, getRenderbuffer());
How do I draw thestencil values to the screen for debugging? | dde0474db56165bae420d88771302e40 | {
"intermediate": 0.8379887342453003,
"beginner": 0.06071774661540985,
"expert": 0.10129353404045105
} |
46,847 | Is it possible to establish peer to peer tcp connection if both these peers are behind NAT? | 11a80a31ad66dc5574c4cb36a7ac7c4e | {
"intermediate": 0.42646482586860657,
"beginner": 0.23952484130859375,
"expert": 0.33401036262512207
} |
46,848 | Can I have a depth buffer with no stencil ina renderbuffer opengl | 68753f84e853ae7818e5523d070d4fc7 | {
"intermediate": 0.4190022051334381,
"beginner": 0.17926809191703796,
"expert": 0.4017297625541687
} |
46,849 | does liner layer really linear? | 7702e60beaa2bdf77ad1dee955ebd55b | {
"intermediate": 0.24359922111034393,
"beginner": 0.18169622123241425,
"expert": 0.5747045278549194
} |
46,850 | Let's say I have the output from a GPT2LMHeadModel, where I have a tensor of shape (2x2x50257). The issue I now need to sample this tensor using TopPLogitsWarper which expects size (batch_size, 50257). How Do I perform top p sampling? | 97262df0728843a27a1ccced00bd1e23 | {
"intermediate": 0.399284303188324,
"beginner": 0.055464256554841995,
"expert": 0.5452514290809631
} |
46,851 | Hey chatgpt, I'm having an issue where I need to apply top p sampling to the logits of GPT2LMHeadModel. How would I go about this, if it is even possible? | cd4a9ae1565d80b22b2530380750e5c1 | {
"intermediate": 0.4458897113800049,
"beginner": 0.09450651705265045,
"expert": 0.45960381627082825
} |
46,852 | what is the best cad software for linux for aircraft and mechanical design? | db5eeb9d9e67035bb7fc3219c15ba4b9 | {
"intermediate": 0.2313954383134842,
"beginner": 0.25406309962272644,
"expert": 0.5145414471626282
} |
46,853 | Hello Chatgpt, I have a problem. I am attempting to manually apply a TopPLogitsWarper to the output of a GPT2LMHeadModel. My code is as below for the external part of my code which extracts the LM's logits.
with torch.no_grad():
out_logits = model(encoded_batch, attention_mask=attn_mask).logits
... | 9a73c842975a50e12ac2c2c563a129fd | {
"intermediate": 0.5247091054916382,
"beginner": 0.10414484888315201,
"expert": 0.371146023273468
} |
46,854 | # Form implementation generated from reading ui file '.\linkage\home_page_ui.ui'
#
# Created by: PyQt6 UI code generator 6.6.1
#
# WARNING: Any manual changes made to this file will be lost when pyuic6 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt6 import QtCore, QtGui, QtWidget... | 719ad60747452b5d4b8a36c3695b0000 | {
"intermediate": 0.24063339829444885,
"beginner": 0.5938680171966553,
"expert": 0.1654985547065735
} |
46,855 | i have calculated two scalers as :
# Suppose mean_ and var_ have been obtained as above
x_scaler = StandardScaler()
x_scaler.mean_ = f_mean_
x_scaler.var_ = f_var_
x_scaler.scale_ = np.sqrt(f_var_)
y_scaler = StandardScaler()
y_scaler.mean_ = t_mean_
y_scaler.var_ = t_var_
y_scaler.scale_ = np.sqrt(t_var_)
how can... | da5002d5ca63f29ed45e7e0a9a001f7b | {
"intermediate": 0.3348543643951416,
"beginner": 0.3518921434879303,
"expert": 0.3132534623146057
} |
46,856 | #INCLUDE <sys/ioctl.h>// find the terminal width of the laptop being used
int getTerminalWidth()
{
struct winsize size;
// Get the size of the terminal window using ioctl system call
ioctl(STDOUT_FILENO, TIOCGWINSZ, &size);
int terminalWidth = size.ws_col;
return terminalWidth;
} make this compati... | 3c599fbc2fc83f5ff5884fa2419ba9e6 | {
"intermediate": 0.39456185698509216,
"beginner": 0.3972199857234955,
"expert": 0.2082180380821228
} |
46,857 | lua script fps counter defold engine | fec99d8d1845ff7bc16cb2fdb810cadf | {
"intermediate": 0.2869197726249695,
"beginner": 0.3992342948913574,
"expert": 0.3138459026813507
} |
46,858 | lua script that show FPS (defold engine) | 8d2ff135e009333fd9c383b23690d9fc | {
"intermediate": 0.363330215215683,
"beginner": 0.2944985628128052,
"expert": 0.34217119216918945
} |
46,859 | i am training a model on my dataset
my code for training the model is :
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
def calculate_features_scaling_params(file_path, features_to_drop):
scaler = StandardScaler()
for chunk in pd.read_c... | 68260904b5fb3fa0ffaea3d5f2575467 | {
"intermediate": 0.19747671484947205,
"beginner": 0.45991817116737366,
"expert": 0.3426051139831543
} |
46,860 | def f(n):
k = to_5(n)
k == k[::-1]
k = int(k, 5)
res = abs(k - n)
return res
print(min(n for n in range(0,5000) if f(n) == 100))
почему мне выдает ошибку | e905872550352d5ea5cd5431ae7f1266 | {
"intermediate": 0.1534869223833084,
"beginner": 0.7177849411964417,
"expert": 0.12872816622257233
} |
46,861 | Hi | aa120b89ada7344cb3d3c8d5b9931cb1 | {
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
} |
46,862 | I would like to know the best method to write fields to a custom table, using a run script within workflow editor.
Here is an example of my run script
var dr = new GlideRecord('u_direct_enterprise_software');
dr.addQuery('u_record_number', workflow.scratchpad.newRecID);
dr.query();
while (dr.next()) {
var cvar = ... | 815fd23d1c3ceca31f8979200fb08759 | {
"intermediate": 0.4899115562438965,
"beginner": 0.2657182514667511,
"expert": 0.24437017738819122
} |
46,863 | Test Key & IV value details –
Algorithm = AES-256-CBC
Enc_key= X5mUl3J1jneCd0adISoHWDTj7U8Rnhvd
iv= 1111111245683783
create a js function to do this
we will pass a json object to function and that function should encrypt using above details and return the encrypted base64 data
{
"tid":"0011111A",
"amount":"10... | b54f8973e429005bbc2a6c3198c8c318 | {
"intermediate": 0.43849971890449524,
"beginner": 0.2409685105085373,
"expert": 0.3205317556858063
} |
46,864 | grid background design html css login page and grids have neon property | 90e1d905151834c6fc37c5ba5bd82f88 | {
"intermediate": 0.4210916757583618,
"beginner": 0.2684181332588196,
"expert": 0.3104901909828186
} |
46,865 | Public Shared Function IsAscending(values As ReadOnlySpan(Of Integer)) As Boolean
For i = 1 To values.Length - 1
If values(i) < values(i - 1) Then
Return False
End If
Next
... | 5375648966191a47f9b7127ff8adf9f8 | {
"intermediate": 0.323280930519104,
"beginner": 0.4456549286842346,
"expert": 0.23106414079666138
} |
46,866 | the following is my code:
import { Box, Typography, styled } from "@mui/material";
import CustomerProfile from "./components/CustomerProfile";
import InfoCard from "./components/InfoCard";
import FeedIcon from "@mui/icons-material/Feed";
import LocationOnIcon from "@mui/icons-material/LocationOn";
import AccountCircleI... | a31d564dca8acb4037dc2b784fc235f4 | {
"intermediate": 0.35369664430618286,
"beginner": 0.44285476207733154,
"expert": 0.2034486085176468
} |
46,867 | 根据代码上下文编写dimensions变量
vb
Public Class DenseTensor(Of T)
Friend Sub New(ByVal fromArray As Array, Optional ByVal reverseStride As Boolean = False)
MyBase.New()
' Copy initial array
Dim backingArray(fromArray.Length - 1) As T
... | abb68d7d4bf3669fdf575836b6531d77 | {
"intermediate": 0.23892399668693542,
"beginner": 0.5390737652778625,
"expert": 0.22200226783752441
} |
46,868 | 根据代码上下文编写dimensions变量并赋值
vb
Public Class DenseTensor(Of T)
Friend Sub New(ByVal fromArray As Array, Optional ByVal reverseStride As Boolean = False)
MyBase.New()
' Copy initial array
Dim backingArray(fromArray.Length - 1) As T
... | c3e9f49742282ed69f8c3a3c19593000 | {
"intermediate": 0.2505733072757721,
"beginner": 0.5157487392425537,
"expert": 0.2336779534816742
} |
46,869 | 根据代码上下文编写dimensions变量并赋值
vb
Public Class DenseTensor(Of T)
Friend Sub New(ByVal fromArray As Array, Optional ByVal reverseStride As Boolean = False)
MyBase.New()
' Copy initial array
Dim backingArray(fromArray.Length - 1) As T
... | 91674567405a1ceb35e2f4a76d1e1d05 | {
"intermediate": 0.2505733072757721,
"beginner": 0.5157487392425537,
"expert": 0.2336779534816742
} |
46,870 | How to setup zebra printer that way that before each print job a certain zpl command is executed on printer | 2340fb6c9a3ee9b2972fb0cc6d92deb6 | {
"intermediate": 0.3588191568851471,
"beginner": 0.17328469455242157,
"expert": 0.46789613366127014
} |
46,871 | How to detect if printer was connected with python | 14fdafb6dc5a30853782ccb401b6d4d5 | {
"intermediate": 0.26209643483161926,
"beginner": 0.16485187411308289,
"expert": 0.5730516314506531
} |
46,872 | i have a csv file that contains many columns and has a large size(27GB)
i want to remove all the columns except the ones that:
A.The columns which their names that contains: Open, High, Low, Close,macd,sma,wma,ema,rsi,cci,stoch,_short,_ichimoku,_dr
B.The columns which their names that ends whith: volume_base, volume_cr... | 95ad505219d32c986206f0f61bf69e15 | {
"intermediate": 0.3243207037448883,
"beginner": 0.34848347306251526,
"expert": 0.32719582319259644
} |
46,873 | Запустил docker контейнер с freepbx а он при запуске пишет это:
2024-04-16.05:51:29 [NOTICE] ** [monitoring] Container configured for monitoring with 'zabbix modern'
2024-04-16.05:51:30 [NOTICE] ** [scheduling] Container configured for scheduled tasks with 'cron'
2024-04-16.05:51:30 [INFO] ** [fail2ban] Starting Fail2b... | 86983fa8fa53fa47de59c74f7cd3ba28 | {
"intermediate": 0.34504425525665283,
"beginner": 0.32307398319244385,
"expert": 0.33188170194625854
} |
46,874 | Entity Framework core 6 many to many with join table | 6e1c17dfe58b88f06fa7d3db78596703 | {
"intermediate": 0.6050905585289001,
"beginner": 0.2542107105255127,
"expert": 0.14069868624210358
} |
46,875 | i have bunch of csv files
i have following code to merge them:
import pandas as pd
import os
# Directory where all your CSV files are located
csv_directory = r"C:\Users\arisa\Desktop\day_spot"
# List all CSV files in the given directory
csv_files = [file for file in os.listdir(csv_directory) if file.endswith('.csv')... | cdeb1b9b752be31c85fb350d2a849f62 | {
"intermediate": 0.3468990623950958,
"beginner": 0.4228151738643646,
"expert": 0.23028579354286194
} |
46,876 | how to write Gtest for the following function static void sdl_egl_destroy(struct graphics_opengl_platform *egl) {
if (egl->eglwindow) {
SDL_GL_DeleteContext(egl->eglcontext);
SDL_DestroyWindow(egl->eglwindow);
}
g_free(egl);
SDL_Quit();
} | c85b7637f5383b542b88d6a1fef13240 | {
"intermediate": 0.5509567856788635,
"beginner": 0.2970137298107147,
"expert": 0.15202954411506653
} |
46,877 | i have a large dataset as csv file (27GB size)
i want to train an ensmble decision tree on it
for each row i have 3 y value columns named as yq1 yq2 yq3 that need to be predicted and model should predict them
give me proper python code to implement it | 3b33f263636c24f78df7555f781f8f70 | {
"intermediate": 0.4408280849456787,
"beginner": 0.09490528702735901,
"expert": 0.4642665982246399
} |
46,878 | hi | f5efa459e0d9beef8fe9326448e77577 | {
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
} |
46,879 | I would like to know the best method to write fields to a custom table, using a run script within workflow editor in servicenow.
Essentially,
The catalog task is created -> it gets completed (the new fields are filled out on the catalog task by the user) -> runs through the approval stage -> after approval, the fields... | 0fb99c7dcc6094ad43582d2f77886f9a | {
"intermediate": 0.5438546538352966,
"beginner": 0.28026512265205383,
"expert": 0.17588016390800476
} |
46,880 | Hi, I want to work with Powershell ISE, please give me short answers, as best only the source code i want with an comment. pls do not answer on this message, this is just an info for you | 5531d2f27a5fc1f87d0dbe4346e8f25c | {
"intermediate": 0.36739861965179443,
"beginner": 0.29752984642982483,
"expert": 0.3350715935230255
} |
46,881 | Hi, I want to work with Powershell ISE, please give me short answers, as best only the source code i want with an comment. pls do not answer on this message, this is just an info for you | 45dabe87ee4c8e10207468cc74892a39 | {
"intermediate": 0.36739861965179443,
"beginner": 0.29752984642982483,
"expert": 0.3350715935230255
} |
46,882 | Is MVC a design pattern? | a7defc7a1df61ad390e9b95d9ad9bea8 | {
"intermediate": 0.2757970094680786,
"beginner": 0.26499542593955994,
"expert": 0.45920753479003906
} |
46,883 | Hi how to create an text file in powershell, pls show only code with an comment | 766efe76d936972cfcec8d91cbe8ebf7 | {
"intermediate": 0.3191577196121216,
"beginner": 0.4297395348548889,
"expert": 0.2511027157306671
} |
46,884 | Hi, pls give me short answers, with only source code for powershell and an comment.
Show an prompt with "OK" after that pressed, the code should continue | 0682b7f3b4815f7519dfe0171ac20311 | {
"intermediate": 0.29088959097862244,
"beginner": 0.3673631250858307,
"expert": 0.34174731373786926
} |
46,885 | Configure many to many relationships with same table entity framework core 6 | 020278a74111c04afc6efcfbde5c4b2b | {
"intermediate": 0.499287486076355,
"beginner": 0.17046476900577545,
"expert": 0.33024775981903076
} |
46,886 | i a django application we created a class named "db_validator" that on initialisation is going to load all the django model and their data ( rows ) in self.tables which is a dictionary of pd dataframes where the key is the table / model name and the values are the dataframes , write the class | 5149d93da2366eb612997321a55e330a | {
"intermediate": 0.5017939805984497,
"beginner": 0.23618288338184357,
"expert": 0.26202306151390076
} |
46,887 | in this javascript why is the command 'instructionsElement.appendChild(newStation);' not working - '
script.js
Remix
Share
new-train-game
Settings
Assets
Files
script.js
PRETTIER
});
//24 hour clock display
const TIME_MULTIPLIER = 60 * 10; // 10 minutes = 600 seconds
// Function to format time in 24-hou... | 39da4405eab5f1077306da4d30c0a894 | {
"intermediate": 0.4191504716873169,
"beginner": 0.2957295775413513,
"expert": 0.2851199209690094
} |
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