row_id int64 0 48.4k | init_message stringlengths 1 342k | conversation_hash stringlengths 32 32 | scores dict |
|---|---|---|---|
46,687 | The random, uniform generation of derangements is very simple. Since
Dn ≈ n!/e, the obvious procedure of generating a random permutation and
check if it is a derangement or not, and generating a new permutation in the
negative case, is straight-forward and guarantees a linear time complexity,
at least on the average; a... | 9bf96583f0b8ee5cb825e94c7edc3b32 | {
"intermediate": 0.27354782819747925,
"beginner": 0.11506301909685135,
"expert": 0.61138916015625
} |
46,688 | Traceback (most recent call last):
File "C:\Users\Administrator\OneDrive\SHARE\BLURUSDT\blurusdt.py", line 430, in <module>
os.execl(sys.executable, os.path.abspath(__file__), *sys.argv)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python3105\lib\os.py", line 542, in execl
execv(file, args)
OS... | 4a895a3c119af1e0f744d48fded6ad27 | {
"intermediate": 0.4232935905456543,
"beginner": 0.29219454526901245,
"expert": 0.28451189398765564
} |
46,689 | vuln_program.c:
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
char passwd[] = "asd";
char usr_input[4];
void target() {
printf("You have entered the correct passwd\n");
exit(0);
}
void prompt(){
char buf[4];
gets(buf);
strncpy(usr_input, buf, 4);
}
int main(){
prompt();
if(strcmp(usr_input, passwd) == ... | 1ed04a255fec205b93b45143a4da3d8c | {
"intermediate": 0.5355784296989441,
"beginner": 0.25418639183044434,
"expert": 0.2102351188659668
} |
46,690 | User
from graphein.protein.graphs import read_pdb_to_dataframe, process_dataframe, deprotonate_structure, convert_structure_to_centroids, remove_insertions
from graphein.protein.graphs import construct_graph
from graphein.protein.visualisation import plotly_protein_structure_graph
import csv
# Your existing code to co... | 4e83e57ff8f71b53fdee8993ed9488cf | {
"intermediate": 0.5988343358039856,
"beginner": 0.191330224275589,
"expert": 0.20983541011810303
} |
46,691 | <<StartOfFile:DMAC/RTL/DMAC_CFG.sv>>>
module DMAC_CFG
(
input wire clk,
input wire rst_n, // _n means active low
// AMBA APB interface
input wire psel_i,
input wire penable_i,
input wire [11:0] paddr_i,
input wire pwrite_i,
input wire [31:0] pwdata_i,
output reg pready_o,
outpu... | faca4b7791250749b35ac4956ff35878 | {
"intermediate": 0.4172908365726471,
"beginner": 0.38497281074523926,
"expert": 0.19773636758327484
} |
46,692 | create for me complete site with animation css and js and php for cloths store | b18add8a0f3984757f6e7a18a37bf196 | {
"intermediate": 0.5132310390472412,
"beginner": 0.1846524477005005,
"expert": 0.3021165430545807
} |
46,693 | train each neuron of linear layer independently | e7364e4b71c205c67f0d57acb11418a1 | {
"intermediate": 0.11961061507463455,
"beginner": 0.0804639384150505,
"expert": 0.7999253869056702
} |
46,694 | Python: Traceback (most recent call last):
File "/Users/moran/Library/Application Support/Blender/4.0/scripts/addons/faceit/rigging/rig_operators.py", line 62, in invoke
return self.execute(context)
File "/Users/moran/Library/Application Support/Blender/4.0/scripts/addons/faceit/rigging/rig_operators.py", line ... | 43d32a467ae3d196b4f1e823f7081782 | {
"intermediate": 0.4259847104549408,
"beginner": 0.2721186578273773,
"expert": 0.3018966615200043
} |
46,695 | AppData\Local\Programs\Python\Python312\Lib\site-packages\crewai\task.py", line 100, in __init__
super().__init__(**config, **data)
File "C:\Users\Administrator.DESKTOP-3HB1DA0\AppData\Local\Programs\Python\Python312\Lib\site-packages\pydantic\main.py", line 175, in __init__
self.__pydantic_validator__.valida... | b4189a990f95715021260f5479d30d71 | {
"intermediate": 0.3898892402648926,
"beginner": 0.2737980782985687,
"expert": 0.33631274104118347
} |
46,696 | we have a table authors with columns name , surname , age and country and table books with columns book_name , number of pages and author , the author field in book model is a foreign key referencing the column name in the table of authors , write a django model to take the constraint into consideration | ad48fdf9fd4c859332b6cefa79834566 | {
"intermediate": 0.47697365283966064,
"beginner": 0.13894599676132202,
"expert": 0.38408032059669495
} |
46,697 | i have a historical data for the crypto as csv file
i want to train a lstm model on this data so it can predict close price of the next day based on last 30 days
give me proper python code | 5ac5883bf2e8a19a0b9fec00ef7d2c09 | {
"intermediate": 0.33230847120285034,
"beginner": 0.1369507610797882,
"expert": 0.5307407379150391
} |
46,698 | vuln_program.c:
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
char passwd[] = "asd";
char usr_input[4];
void target() {
printf("You have entered the correct passwd\n");
exit(0);
}
void prompt(){
char buf[4];
gets(buf);
strncpy(usr_input, buf, 4);
}
int main(){
prompt();
if(strcmp(usr... | 20108616679593eeece91c9657ec5034 | {
"intermediate": 0.3239026963710785,
"beginner": 0.3281060457229614,
"expert": 0.34799131751060486
} |
46,699 | vuln_program.c:
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
char passwd[] = “asd”;
char usr_input[4];
void target() {
printf(“You have entered the correct passwd\n”);
exit(0);
}
void prompt(){
char buf[4];
gets(buf);
strncpy(usr_input, buf, 4);
}
int main(){
prompt();
if(strcmp(usr_input, passwd) == ... | 00ea8b6bfb1081a7f6f359e19cbf41a3 | {
"intermediate": 0.4650653898715973,
"beginner": 0.33369702100753784,
"expert": 0.20123757421970367
} |
46,700 | vuln_program.c:
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
char passwd[] = “asd”;
char usr_input[4];
void target() {
printf(“You have entered the correct passwd\n”);
exit(0);
}
void prompt(){
char buf[4];
gets(buf);
strncpy(usr_input, buf, 4);
}
int main(){
prompt();
if(strcmp(usr_input, passwd) == ... | ae3be27090581ae57e025e76aef0b553 | {
"intermediate": 0.407917320728302,
"beginner": 0.3196989893913269,
"expert": 0.27238374948501587
} |
46,701 | getting this error in make migrations in django , how can i fix it data_model.VEHICULE.usage: (fields.E304) Reverse accessor 'MD_USAGE.usage_fk' for 'data_model.VEHICULE.usage' clashes with reverse accessor for 'data_model.REDUCTIONS.usage'.
HINT: Add or change a related_name argument to the definition for 'dat... | 2ac3e4195343c236d33ac37ed6648219 | {
"intermediate": 0.7466117143630981,
"beginner": 0.11583466827869415,
"expert": 0.13755358755588531
} |
46,702 | name 10 hacking exploit simulations like an sql injection like this admin’ –
SELECT * FROM users WHERE username = ‘admin’ --’ AND password = ‘’; with the commands you could put into a terminal for education purposes only, this is for my college class and the paper is due tommorrow | bb2edf436a786b6d0e5db60425f34642 | {
"intermediate": 0.24133095145225525,
"beginner": 0.32554537057876587,
"expert": 0.4331236779689789
} |
46,703 | Что значит эта ошибка
[root@localhost ~]# dnf install epel-release
Last metadata expiration check: 0:11:54 ago on Mon 15 Apr 2024 10:58:00 AM +07.
No match for argument: epel-release
Error: Unable to find a match: epel-release | 91278a122e0a71e4bf1cf303f29f5920 | {
"intermediate": 0.3873503506183624,
"beginner": 0.3511311411857605,
"expert": 0.26151853799819946
} |
46,704 | Выдает эту ошибку
[root@localhost ~]# dnf install https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm
Last metadata expiration check: 0:17:45 ago on Mon 15 Apr 2024 10:58:00 AM +07.
epel-release-latest-8.noarch.rpm 24 kB/s | 2... | 78ff0cefd2a13c27a5f1eafbbe691bf9 | {
"intermediate": 0.36535879969596863,
"beginner": 0.3482733964920044,
"expert": 0.28636786341667175
} |
46,705 | using static System.Formats.Asn1.AsnWriter;
using System.Runtime.InteropServices;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.GenerationType;
import javax.persistence.Id;
@Entity
public class Score
{
@Id
@GeneratedValue(strategy = GenerationType.AUTO)
... | 7cd5d7a6343079c4d6d42cef407e1d14 | {
"intermediate": 0.4115680158138275,
"beginner": 0.356106698513031,
"expert": 0.23232531547546387
} |
46,706 | preprocessed_question_var = fn_preprocess_question(question)
for predefined_question_var,predefined_answer_var in dict_predefined_answers.items():
if fn_preprocess_question(predefined_question_var) in preprocessed_question_var:
return predefined_answer_var
porter_stemmer =PorterStem... | cedc26c2d3b8ee5dc06fe6ce89d19759 | {
"intermediate": 0.3472153842449188,
"beginner": 0.3524501323699951,
"expert": 0.30033445358276367
} |
46,707 | У меня сервер на RedOS и у меня выдает ошибку, как её исправить?
[root@localhost ~]# dnf --enablerepo=powertools install libedit-devel
Error: Unknown repo: 'powertools'
[root@localhost ~]# | b3ad346f9bcc6732d6c46cfdc449b994 | {
"intermediate": 0.48076003789901733,
"beginner": 0.3391513228416443,
"expert": 0.1800885945558548
} |
46,708 | Show connected user ping colyseus | 650d21367c673cc9c101445003be9842 | {
"intermediate": 0.3456595242023468,
"beginner": 0.3106468915939331,
"expert": 0.3436935544013977
} |
46,709 | При установке Asterisk после ввода команды ./configure выдает такую ошибку:
make: *** [Makefile:92: /tmp/pjproject-2.10.tar.bz2] Error 4
make: *** Deleting file '/tmp/pjproject-2.10.tar.bz2'
failed
configure: Unable to configure third-party/pjproject
configure: error: Re-run the ./configure command with 'NOISY_BUILD=y... | 8cf99bb314d3785744dc191923065f6f | {
"intermediate": 0.3543435037136078,
"beginner": 0.31084805727005005,
"expert": 0.33480846881866455
} |
46,710 | В чем ошибка?
[root@localhost asterisk-16.15.1]# systemctl start asterisk
Job for asterisk.service failed because a timeout was exceeded.
See "systemctl status asterisk.service" and "journalctl -xeu asterisk.service" for details. | 057f48a347df3db0d45166556bf679b3 | {
"intermediate": 0.4227191209793091,
"beginner": 0.3407037556171417,
"expert": 0.2365771383047104
} |
46,711 | Increase number of records to display in a list within Service Operations Workspace, Similar to the system property glide.ui.per.page that allows updating the max number of rows that return in a list on the platform, I added 500. I do not see a property or a way to do so was able to do the same for Service Operations W... | e559df931a3e883938ecbb0d272cf6c4 | {
"intermediate": 0.6823617815971375,
"beginner": 0.1512841135263443,
"expert": 0.16635410487651825
} |
46,712 | При установке Freepbx выдает ошибку:
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Ефкфы1313ЙЙ --webroot=/usr/share/nginx/html
Assuming you are Database Root
Checking if SELinux is enabled...Its not (good)!
Reading /etc/asterisk/asterisk.conf...Done
Checking if Asterisk is running and we can talk to it... | 3fde0101e495abf64ccf595e7fe44599 | {
"intermediate": 0.40178975462913513,
"beginner": 0.40040507912635803,
"expert": 0.1978052258491516
} |
46,713 | How to change the creation time of a time on Fedora? | d6e8f750fedcaefe37eac7e98dfa67a8 | {
"intermediate": 0.32724684476852417,
"beginner": 0.19799171388149261,
"expert": 0.4747614562511444
} |
46,714 | Что означает эта ошибка:
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Taras1313QQ --webroot=/usr/share/nginx/html
PHP Fatal error: Uncaught Error: Call to undefined function FreePBX\Install\posix_geteuid() in /root/freepbx/installlib/installcommand.class.php:174
Stack trace:
#0 /root/freepbx/amp_conf... | ddf7c39f4667905e12944ed1a28abd2b | {
"intermediate": 0.40127623081207275,
"beginner": 0.48284026980400085,
"expert": 0.11588346213102341
} |
46,715 | Что означает эта ошибка
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Taras1313QQ --webroot=/usr/share/nginx/html
Assuming you are Database Root
Checking if SELinux is enabled...Its not (good)!
Reading /etc/asterisk/asterisk.conf...Done
Checking if Asterisk is running and we can talk to it as the 'aste... | 282fdf8a2c7e28447b7ab69473a45fe0 | {
"intermediate": 0.436328262090683,
"beginner": 0.38379037380218506,
"expert": 0.17988140881061554
} |
46,716 | How to create clone app like IMO Messenger | 587c52f3c01396957a3c1f2d74d8dadb | {
"intermediate": 0.31889718770980835,
"beginner": 0.2218206375837326,
"expert": 0.45928213000297546
} |
46,717 | Что означает эта ошибка
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Taras1313QQ --webroot=/usr/share/nginx/html
Assuming you are Database Root
Checking if SELinux is enabled…Its not (good)!
Reading /etc/asterisk/asterisk.conf…Done
Checking if Asterisk is running and we can talk to it as the ‘asterisk... | 6d8fc5db203f51a669dcad0ba70a7ca5 | {
"intermediate": 0.4554811120033264,
"beginner": 0.3687116205692291,
"expert": 0.17580726742744446
} |
46,718 | Что означает эта ошибка
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Taras1313QQ --webroot=/usr/share/nginx/html
Assuming you are Database Root
Checking if SELinux is enabled…Its not (good)!
Reading /etc/asterisk/asterisk.conf…Done
Checking if Asterisk is running and we can talk to it as the ‘asterisk... | 9c551262ae028a7e3ced316eaf25bfd0 | {
"intermediate": 0.4554811120033264,
"beginner": 0.3687116205692291,
"expert": 0.17580726742744446
} |
46,719 | Что означает эта ошибка
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Taras1313QQ --webroot=/usr/share/nginx/html
Assuming you are Database Root
Checking if SELinux is enabled…Its not (good)!
Reading /etc/asterisk/asterisk.conf…Done
Checking if Asterisk is running and we can talk to it as the ‘asterisk... | c2a73d5b2e1b77642d6cd473dd94b0b7 | {
"intermediate": 0.4554811120033264,
"beginner": 0.3687116205692291,
"expert": 0.17580726742744446
} |
46,720 | Ошибка:
[root@localhost ~]# rm freepbx
rm: cannot remove 'freepbx': Is a directory | 80d6b2310b2e9288c9100ba605480fef | {
"intermediate": 0.3496999740600586,
"beginner": 0.32951170206069946,
"expert": 0.32078832387924194
} |
46,721 | Dear GPT-4-Turbo, write me code that does a LOT of stuff that does nothing but use my pc's resources, only to at the end to print out "Man, idk. Too hard." | 06df130d3f5a8f1f2c8a1829371932b3 | {
"intermediate": 0.35028061270713806,
"beginner": 0.4122452139854431,
"expert": 0.2374742329120636
} |
46,722 | django get host name of requests. | 45f2cdda432d9886201b2a7057e76611 | {
"intermediate": 0.5003438591957092,
"beginner": 0.18938149511814117,
"expert": 0.3102746903896332
} |
46,723 | i uploaded background image for service portal, and now i need to edit it to fit on the entire background, somecontents were missing in the image to be displayed | 98d79fd07e1bac9c2754de9d4aa40516 | {
"intermediate": 0.32987064123153687,
"beginner": 0.23681196570396423,
"expert": 0.4333174228668213
} |
46,724 | if approval status is not yet request then update worknotes "not reviewed" in RITM servicenow through business rule | a9e3293b575e4aeeb45a16ead3688cda | {
"intermediate": 0.43870821595191956,
"beginner": 0.2271784394979477,
"expert": 0.33411329984664917
} |
46,725 | in python this GPIB11::9::INSTR I want to get the 9 how to do it | 635d9c8d3edfdfe4c1f335f5a269db98 | {
"intermediate": 0.3439564108848572,
"beginner": 0.22977416217327118,
"expert": 0.42626944184303284
} |
46,726 | Что за ошибка
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Taras1313QQ --webroot=/usr/share/nginx/html
Assuming you are Database Root
Checking if SELinux is enabled...Its not (good)!
Reading /etc/asterisk/asterisk.conf...Done
Checking if Asterisk is running and we can talk to it as the 'asterisk' user.... | 5416efa783b57885921d70d5e4df0244 | {
"intermediate": 0.3567330241203308,
"beginner": 0.36019575595855713,
"expert": 0.2830711603164673
} |
46,727 | #include <bits/stdc++.h>
#define M 100002
using namespace std;
int dem[M];
struct xau{ string x; int vt;};
xau s[M];
int demso(xau a){
int res=0;
if(a.x.size()<1)return 0;
for(int i=0;i<a.x.size();i++)
if(a[i].x>='0'&&a[i].x<='9') res++;
return res;
}
bool cmp (xau a,xau b){
if(demso(a)<demso(... | a5b91c599c90c193b080402c2d17f6a9 | {
"intermediate": 0.29181697964668274,
"beginner": 0.5319371819496155,
"expert": 0.17624574899673462
} |
46,728 | Что за ошибка:
[root@localhost freepbx]# ./install -n --dbuser root --dbpass Taras1313QQ --webroot=/usr/share/nginx/html
Assuming you are Database Root
Checking if SELinux is enabled...Its not (good)!
Reading /etc/asterisk/asterisk.conf...Done
Checking if Asterisk is running and we can talk to it as the 'asterisk' user... | de7914802c56809693291b03caf3b9fa | {
"intermediate": 0.3576268255710602,
"beginner": 0.2880428433418274,
"expert": 0.3543303310871124
} |
46,729 | i have the following code to train a lstm model on my historical crypto dataset:
# %%
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from keras.models import Sequential
from keras.layers import Dense, LSTM, Dropout
from sklearn.model_selection import train_test_split
import matplo... | 8f2840d1ce17ef2b6ca7a5f3d3c250d4 | {
"intermediate": 0.3789866864681244,
"beginner": 0.32348233461380005,
"expert": 0.2975309193134308
} |
46,730 | 1. What is C#?
C# is an object-oriented programming language compiled by the .Net framework to generate Microsoft Intermediate Language.
Can multiple catch blocks be executed?
No, you cannot execute multiple catch blocks of the same type.
2. What is the difference between static, public, and void?
Public declared va... | 87b9015e0310dd2c76ac05ad504e7ec2 | {
"intermediate": 0.4112328886985779,
"beginner": 0.35719913244247437,
"expert": 0.23156793415546417
} |
46,731 | 1. Write a SQL query to find the second highest salary from the table emp. (Column name – id, salary) | f2c6ce198ca6e87d9ce2bb293cbb2f49 | {
"intermediate": 0.40115365386009216,
"beginner": 0.25919076800346375,
"expert": 0.3396556079387665
} |
46,732 | #include <bits/stdc++.h>
#define M 100002
using namespace std;
int dem[M];
struct xau{
string x;
int vt;
};
xau s[M];
int demso(xau a){
int res=0;
if(a.x.size()<1)return 0;
for(int i=0;i<a.x.size();i++)
if(a.x[i]>='0'&&a.x[i]<='9') res++;
return res;
}
bool cmp (xau a,xau b){
if(... | 01beba47a4d28c16a1f9fec10fec2015 | {
"intermediate": 0.3091809153556824,
"beginner": 0.4919096827507019,
"expert": 0.19890941679477692
} |
46,733 | I’ve a catalog item which will generate 6 SC tasks. For one of the SC task, user should not be able to close the SC task without an attachment. How can I proceed with the solution on this. Help me to provide any scrips. | 58727a2adeb20719473d041d64dbb10c | {
"intermediate": 0.27944621443748474,
"beginner": 0.3443250358104706,
"expert": 0.37622880935668945
} |
46,734 | I want a List action(declarative action) on click of which I will get a popup and in popup I will be able to attach a document in workspace view.
After submitting Attachment of documents, It is get attached to to multiple records.
If I will get any code, it will be a very good help for me. | 3a578d3699ac80c8eb3865234480f413 | {
"intermediate": 0.38570186495780945,
"beginner": 0.3150084912776947,
"expert": 0.29928967356681824
} |
46,735 | how can I make my c++ program on linux output a final message before termination if an access violation happens? | 115d4b025107ecaa127074155280ccb3 | {
"intermediate": 0.5213168263435364,
"beginner": 0.1934683918952942,
"expert": 0.28521469235420227
} |
46,736 | i have following code :
input_shape = (72, 6427)
inputs = Input(shape=(input_shape,))
x = Dense(6427, activation='relu', input_shape=(input_shape,)) (inputs)
x = Dropout(0.25) (x)
x = Dense(3200, activation='relu') (x)
x = Dropout(0.20) (x)
x = Dense(1800, activation='relu') (x)
x = Dropout(0.15) (x)
x = Dense(1024,... | 49bf33e7da0d8570c73c456d4627dec9 | {
"intermediate": 0.3208302855491638,
"beginner": 0.38221466541290283,
"expert": 0.29695501923561096
} |
46,737 | I want a List action(declarative action) on click of which I will get a popup and in popup I will be able to attach a document in workspace view.
After submitting Attachment of documents, It is get attached to to multiple records.
If I will get any code, it will be a very good help for me. | 3b91272c69f95f8aa98352ee064352be | {
"intermediate": 0.38570186495780945,
"beginner": 0.3150084912776947,
"expert": 0.29928967356681824
} |
46,738 | my code:
# %%
import os
import numpy as np
import pandas as pd
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.layers import Input, Dropout
from tensorflow... | 90378e60391293c4993a0a2f6efccf05 | {
"intermediate": 0.4520384967327118,
"beginner": 0.3773055672645569,
"expert": 0.1706559956073761
} |
46,739 | hello | 441700cbb20740a220e682023c9b5b84 | {
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
} |
46,740 | Hi there, please be a senior sapui5 developer and answer my following questions with working code examples. | 1d3941712ab0a982f2950190e0704aa9 | {
"intermediate": 0.42116406559944153,
"beginner": 0.2712341248989105,
"expert": 0.3076017498970032
} |
46,741 | my code:
# %%
import os
import numpy as np
import pandas as pd
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.layers import Input, Dropout
from tensorflow... | a6e471421603bc5cf63a1e188762f533 | {
"intermediate": 0.4520384967327118,
"beginner": 0.3773055672645569,
"expert": 0.1706559956073761
} |
46,742 | <!DOCTYPE html><html lang="ru"><head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="title" content="MODER SHOP - площадка по продаже и покупке аккаунтов SAMP">
<meta name="Keywords" content="Магазин аккаунтов SAMP, купить вирты сам... | 772ede8581323da9f0ca7ded9416e142 | {
"intermediate": 0.4479261636734009,
"beginner": 0.43304046988487244,
"expert": 0.11903330683708191
} |
46,743 | Write a game about snake | a89655b857590106e3bfb2959f277c7f | {
"intermediate": 0.34226417541503906,
"beginner": 0.4051211476325989,
"expert": 0.25261467695236206
} |
46,744 | code:
# %%
import os
import numpy as np
import pandas as pd
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.layers import Input, Dropout
from tensorflow.ke... | 7d6a7d64f3b8036c1939ffa26f8ceb56 | {
"intermediate": 0.4991265833377838,
"beginner": 0.354446679353714,
"expert": 0.1464267522096634
} |
46,745 | my django project has 2 apps named common and user respectively. I placed an abstract model in common apps. and want to inherit the model from common app to make new model, how import the common model correctly? | 56782bfd84c2525552cf2609dd908072 | {
"intermediate": 0.6392097473144531,
"beginner": 0.15490299463272095,
"expert": 0.2058873325586319
} |
46,746 | in a django project, 2 apps created named common and user respectively, abstract model placed in common, how to extend the abstract model in user app | 18ff7772ede3b43a0fd1c37df9c1e3c3 | {
"intermediate": 0.4307248294353485,
"beginner": 0.22524148225784302,
"expert": 0.34403371810913086
} |
46,747 | In javascript for leaflet.js I want to add a green circle marker to firstCityCoords and secondCityCoords when a cafe and a hotel has been added to both stations. However my if statement 'if (cafeOneBonus > 0 && cafeTwoBonus > 0 && hotelOneBonus > 0 && hotelTwoBonus > 0)' is failing to detect when they have all been add... | 5206dedbb71e40d2d3a77c2213dd1b8a | {
"intermediate": 0.44431936740875244,
"beginner": 0.3869270086288452,
"expert": 0.16875363886356354
} |
46,748 | python asdl | 8c0d22692f6e1478a65e50b26ce3015c | {
"intermediate": 0.3639878034591675,
"beginner": 0.334367573261261,
"expert": 0.30164462327957153
} |
46,749 | inputs = tf.keras.Input(shape=(1,200,))
x = tf.keras.layers.Embedding(64)(inputs)
x = layers.LSTM(200, return_sequences=True)(inputs)
x = layers.LSTM(64, return_sequences=True)(x)
x = layers.LSTM(64, return_sequences=True)(x)
x = layers.LSTM(64, return_sequences=True)(x)
x = layers.LSTM(128, return_sequences=True)(x... | 31dd9cf84fd59fcb32f629ad1bbb2367 | {
"intermediate": 0.3665541410446167,
"beginner": 0.28056877851486206,
"expert": 0.35287711024284363
} |
46,750 | INTROGRESSIONE in miglioramento genetico | 11063cab46ae9af668a5137130ed8555 | {
"intermediate": 0.30194586515426636,
"beginner": 0.2571144998073578,
"expert": 0.44093963503837585
} |
46,751 | Login failed for user 'DESKTOP-21QL7RI\hp'. Reason: Server is in single user mode. Only one administrator can connect at this time. ما حل هذه المشكلة | de301ef503c186e7591c6aa523a60745 | {
"intermediate": 0.3058943450450897,
"beginner": 0.34316983819007874,
"expert": 0.35093584656715393
} |
46,752 | sup | aff8407e1ec46964afd2ca330b9641e2 | {
"intermediate": 0.3241104781627655,
"beginner": 0.3006082773208618,
"expert": 0.37528130412101746
} |
46,753 | How to handle user disconnect Colyseus server side | 929557b7210dace2ac5efb1360ae30f9 | {
"intermediate": 0.39433035254478455,
"beginner": 0.26746997237205505,
"expert": 0.3381996750831604
} |
46,754 | "fifo_full, fifo_empty, fifo_wren, fifo_rden를 사용해서 FIFO를 사용하도록 코드를 수정하시오."를 영작해줘. | edd95dc30bd5dcd5ee6ebd21bb6a91a1 | {
"intermediate": 0.20124953985214233,
"beginner": 0.6427111625671387,
"expert": 0.1560393124818802
} |
46,755 | what type of layer i should use for tanslation model ? | b89533ce31f40029038eaca4c12288ac | {
"intermediate": 0.12264930456876755,
"beginner": 0.12161096185445786,
"expert": 0.7557397484779358
} |
46,756 | Make a minimax tic tac-toe AI, that meets the specific requirements in this category, and don't worry if it's too extensive:
1. Evaluation Function
- Evaluation Heuristics
2. Iterative Deepening
- Alpha-Beta Pruning
- Quiescence Search
3. Transposition Table
4. Move Ordering
- Transposition Move
- Go... | 74c02da91fe2df4d1b282e65bbe7fda3 | {
"intermediate": 0.08922035992145538,
"beginner": 0.12124685943126678,
"expert": 0.7895327806472778
} |
46,757 | while running project using ng serve the prompt window open with windows script host | 973ee2b2122aa6700d28528a8d7f5975 | {
"intermediate": 0.366978257894516,
"beginner": 0.2812768816947937,
"expert": 0.3517448604106903
} |
46,758 | Hi , I am accessibility consultant and working on checklist for Content author , i have created one check list buy my manager is not happy with that and he is asking to provide mention details in different format. I am providing you the checklist details which i have created
"S. No. Content Author Checklist Categor... | af8e28c22d207d19e9662898fe61a03b | {
"intermediate": 0.3887779712677002,
"beginner": 0.2871059775352478,
"expert": 0.3241160809993744
} |
46,759 | i have following code to read my csv file which is a 27GB size file
import pandas as pd
# Load the dataset using pandas
df = pd.read_csv(r"C:\Users\arisa\Desktop\combined_day.csv")
and im getting following error:
{
"name": "MemoryError",
"message": "Unable to allocate 13.7 GiB for an array with shape (6317, 290138... | 1e25409d6cdaf3595f3e0a8a8491bdd7 | {
"intermediate": 0.4779605269432068,
"beginner": 0.324287474155426,
"expert": 0.1977519690990448
} |
46,760 | hello | cef37ab84704158b206902ce90358bb8 | {
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
} |
46,761 | i want to train a NN model on my dataset which is a 27GB size csv file
i cant read it as df = pd.read_csv(r"C:\Users\arisa\Desktop\combined_day.csv") because it gives error due to big size of the file
give me proper code to train a model on my dataset properly | 727d3094fe95f2128c62437577716804 | {
"intermediate": 0.2399674355983734,
"beginner": 0.06087492033839226,
"expert": 0.6991576552391052
} |
46,762 | my code:
# %%
import numpy as np
from sklearn.preprocessing import StandardScaler
# %%
import pandas as pd
chunk_size = 10000 # This depends on your available memory
batch_size = 72
# %%
def data_generator():
reader = pd.read_csv(r"C:\Users\arisa\Desktop\combined_day.csv", chunksize=chunk_size)
for ch... | 0f47d2f487ff6eac7c1ac68ec929f034 | {
"intermediate": 0.3507901728153229,
"beginner": 0.4262188971042633,
"expert": 0.222990944981575
} |
46,763 | WHat is this code and what does it do?
U1 setvar "device.languages" "zpl"
N
ZB
S3
D10
R02,0
q240
Q160,120
A05,135,3,2,1,1,N,""
B30,10,0,1C,2,7,75,B,"9930348263"
I8,C,001
A30,118,0,1,1,1,N,""
A20,137,0,1,1,1,N,""
P1 | 020fb1bad9d99562ca5dfc778f10ec61 | {
"intermediate": 0.37532463669776917,
"beginner": 0.45593997836112976,
"expert": 0.16873544454574585
} |
46,764 | code:
# %%
from sklearn.preprocessing import StandardScaler
import numpy as np
from sklearn.preprocessing import StandardScaler
# %%
import pandas as pd
chunk_size = 10000 # This depends on your available memory
batch_size = 72
# %%
def data_generator():
reader = pd.read_csv(r"C:\Users\arisa\Desktop\combi... | 581b7153f4c34ccd3c8056082fdf8197 | {
"intermediate": 0.41099169850349426,
"beginner": 0.38303688168525696,
"expert": 0.205971360206604
} |
46,765 | Hi | a4ad38fbe481fc2b7d8bd899219a3b2f | {
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
} |
46,766 | I need to open an URL with chrome using photoshop scripting. How can I do that? | d1061613ab0e8ffed7822ee2b41d8cd8 | {
"intermediate": 0.43724194169044495,
"beginner": 0.26135408878326416,
"expert": 0.3014039695262909
} |
46,767 | code :
# %%
from sklearn.preprocessing import StandardScaler
import numpy as np
from sklearn.preprocessing import StandardScaler
# %%
import pandas as pd
chunk_size = 10000 # This depends on your available memory
batch_size = 72
# %%
def data_generator():
reader = pd.read_csv(r"C:\Users\arisa\Desktop\comb... | 71d1a4b2812e7d696fba06b36c921555 | {
"intermediate": 0.3511621356010437,
"beginner": 0.5076932907104492,
"expert": 0.14114464819431305
} |
46,768 | Please modify the code in "Please modify the code correctly" correctly.
<<<StartOfFile:DMAC/RTL/DMAC_ENGINE.sv>>>
module DMAC_ENGINE
(
input wire clk,
input wire rst_n, // _n means active low
// configuration registers
input wire [31:0] src_addr_i,
input wire [31:0] dst_addr_i,
input wire [15:... | 6a6f7e45e97dcf3b4af40b330b95463c | {
"intermediate": 0.3662366569042206,
"beginner": 0.39106234908103943,
"expert": 0.24270100891590118
} |
46,769 | %%time
!pip install -q -U tensorflow-text
!pip install datasets
!pip install -q tensorflow_datasets
!pip install pydot
!cd /content
!clear
import tensorflow as tf
import tensorflow_text as tf_text
import tensorflow_datasets as tfds
import numpy as np
import matplotlib.pyplot as plt
import requests
import functools
i... | 2a672823bb92aaa2b3b0c94af1091751 | {
"intermediate": 0.3316658139228821,
"beginner": 0.4265757203102112,
"expert": 0.24175843596458435
} |
46,770 | hugging face workspace that can take text story and make a video from it | 6f78f65aeb4541ccfdb8962912e9dc71 | {
"intermediate": 0.32733479142189026,
"beginner": 0.18716956675052643,
"expert": 0.4854956269264221
} |
46,771 | i want to train a model on my dataset(which is a large csv file 27GB size) to predict to value for each row: Prior_1 and Prior_2
due to the size of my csv file i cant read it as df at once
give me proper python code to train a model on my dataset | 4441969af470efff0af1e5e893dce548 | {
"intermediate": 0.48868417739868164,
"beginner": 0.1387758105993271,
"expert": 0.3725399971008301
} |
46,772 | print("x_train shape:", x_train.shape)
print("y_train shape:", y_train.shape)
history = model.fit(x_train, y_train, epochs=10, batch_size=2)
x_train shape: (10000, 200)
y_train shape: (10000, 200)
Epoch 1/10
---------------------------------------------------------------------------
ValueError ... | a14c6528f43183a089829aa2422e9620 | {
"intermediate": 0.5270666480064392,
"beginner": 0.24094583094120026,
"expert": 0.23198749125003815
} |
46,773 | Hello, i build an traduction ai using tensorflow now i have tokenize the dataset with my code and i use google colab cells by cells code I can not build a model optimized for ai translation your goal is to build a model of translation for tensorflow with my actual code this is my actual code :
%%time
!pip install -q -... | 47ba36c16b33b0838e18fcee7afb7f43 | {
"intermediate": 0.3630707263946533,
"beginner": 0.3557378947734833,
"expert": 0.2811913788318634
} |
46,774 | i want to train a NN model on my dataset(which is a large csv file 27GB size) to predict to value for each row: Prior_1 and Prior_2
due to the size of my csv file i cant read it as df at once
give me proper python code to train a model on my dataset | 9f0534ec4f39bac8c62452e102d8a43a | {
"intermediate": 0.3014947175979614,
"beginner": 0.08235567063093185,
"expert": 0.6161496639251709
} |
46,775 | Hello, i build an traduction ai using tensorflow now i have tokenize the dataset with my code and i use google colab cells by cells code I can not build a model optimized for ai translation your goal is to build the cell of the model with keras modl build and model compile for the best performance in translation :
%%... | 7912e9241524ade784a0ef160cb70fa5 | {
"intermediate": 0.3689960241317749,
"beginner": 0.3881682753562927,
"expert": 0.24283570051193237
} |
46,776 | {
"name": "NotImplementedError",
"message": "Iterating over a symbolic KerasTensor is not supported.",
"stack": "---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[33], line 5
2 batch_size = 128
4... | be8e31cd98cf29b6ae560562787799e7 | {
"intermediate": 0.3306133449077606,
"beginner": 0.43303394317626953,
"expert": 0.23635269701480865
} |
46,777 | `when 🏳️ clicked`
`🖊️ erase all`
`set a to 149597870.7`
`set e to 0.7`
`set ν to 92`
`set ω to 76`
`set Zoom to 2000000`
`set Mass to 1.98847e30`
`set t to 1`
`set RO to 0`
`🖊️ set pen color to #FFFFFF`
`🖊️ set pen size to 1`
`🖊️ pen up`
`forever`
`{`
`_set r to {a * (1 - e^2) / (1 + (e * cos of (ν)}`
`_set X to {... | ed3f91c5cdc0bf8668f2c8bce8b049bc | {
"intermediate": 0.2755393981933594,
"beginner": 0.30851060152053833,
"expert": 0.41594991087913513
} |
46,778 | make it 1 liner
for session, session_info in sessions.items():
if session_info['posts sent']:
length_with_posts+=1 | 89e4b481eb8aaf8459097708477abd20 | {
"intermediate": 0.4210500121116638,
"beginner": 0.29917940497398376,
"expert": 0.2797706127166748
} |
46,779 | make it 1 liner
for session, session_info in sessions.items():
if session_info[‘posts sent’]:
length_with_posts+=1 | b5a69b1412ce955b31baa7a946a1a69d | {
"intermediate": 0.27735060453414917,
"beginner": 0.5434809923171997,
"expert": 0.17916841804981232
} |
46,780 | В чем проблема? Caused by: java.lang.IllegalStateException: Ambiguous handler methods mapped for HTTP path 'http://localhost:8080/acq-company-web/': {public java.lang.String com.ncs.company.web.controller.IndexController.showIndex(org.springframework.ui.Model,org.springframework.security.core.Authentication,javax.servl... | 37e482cd0cd5b728dc81d1c26adc40be | {
"intermediate": 0.4754568934440613,
"beginner": 0.2788739800453186,
"expert": 0.2456691563129425
} |
46,781 | ""START:Please modify the code correctly."에서 "END:Please modify the code correctly."까지의 코드 중 이상한 부분을 수정해주세요."를 영작해줘. | bb7f10a9504c11824bf0763f7dc4eac7 | {
"intermediate": 0.27752795815467834,
"beginner": 0.31940561532974243,
"expert": 0.4030664265155792
} |
46,782 | i have following code :
# %%
import pandas as pd
import numpy as np
from tensorflow import keras
from sklearn.preprocessing import StandardScaler
def data_generator(file_path, batch_size):
chunksize = batch_size
while True: # Loop forever, so the generator never terminates
for chunk in pd.read_csv(fil... | af9914ad18c9fdbf888e5c0953cef746 | {
"intermediate": 0.36976394057273865,
"beginner": 0.3796335458755493,
"expert": 0.25060248374938965
} |
46,783 | create a Gtest UT test case and Gmock with below code static int updateDisplay(void){
int ret = false;
switch (getDisplay())
{
case eHomeDisplay :
sprintf(cluster_screen.disp_name,currentDisplay);
cluster_screen.width = m_parameterInfo[eHomeDisplay].width;
cluster_screen.height ... | 0277698c6a0b388ac2c38b1fc7badf30 | {
"intermediate": 0.3739706575870514,
"beginner": 0.40253937244415283,
"expert": 0.22348996996879578
} |
46,784 | Hi there, please be a sapui5 senior developer and answer my question with working code examples. | e29eeff8381727d2f7914d53c1d10b4b | {
"intermediate": 0.4024829566478729,
"beginner": 0.2911725640296936,
"expert": 0.3063444495201111
} |
46,785 | package com.mns.oms.batch.listener;
import com.mns.oms.batch.domain.JobStatistics;
import com.mns.oms.batch.mapper.CycleAvoidingMappingContext;
import com.mns.oms.batch.mapper.StepDataMapper;
import com.mns.oms.batch.model.JobStepDetails;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframew... | c12965afec41938d148c41098a97db0f | {
"intermediate": 0.2681535482406616,
"beginner": 0.4390513002872467,
"expert": 0.2927951514720917
} |
46,786 | i have following code:
# %%
import pandas as pd
import numpy as np
from tensorflow import keras
from sklearn.preprocessing import StandardScaler
def data_generator(file_path, batch_size, data_type):
chunksize = batch_size
total_rows = 301617 # Adjust with your dataset's actual number of rows
split_ratio =... | 9eeca25900d19ece0b3d2466702291d1 | {
"intermediate": 0.46519041061401367,
"beginner": 0.3712368309497833,
"expert": 0.16357272863388062
} |
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