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48,092
\begin{figure*}[!htb] \centering \subfloat[Hazy image]{\includegraphics[width=0.8in]{twopick_hazy.png}% \label{fig_first_case}} \hfil \subfloat[DCP]{\includegraphics[width=0.8in]{twopick_DCP.png}% \label{fig_second_case}} \hfil \subfloat[CAP]{\includegraphics[width=0.8in]{twopick_CAP.png}% \label{fig_seco...
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{ "intermediate": 0.3029104769229889, "beginner": 0.3791201412677765, "expert": 0.3179693818092346 }
48,093
Make ascii art for the letter m
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{ "intermediate": 0.41269373893737793, "beginner": 0.3237380385398865, "expert": 0.2635682225227356 }
48,094
What’s the difference between headers payload and form data?
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{ "intermediate": 0.41577795147895813, "beginner": 0.31949350237846375, "expert": 0.2647285759449005 }
48,095
I have this react custom input: import { TextInput } from "@mantine/core"; import { useState } from "react"; const [_value, setValue] = useState<any>(0); const handleInputChange = (value: string) => { let newValue : number | string = value.replace(/\D/g, ''); newValue = newValue === '' ? '0' : newValue; ...
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{ "intermediate": 0.39734160900115967, "beginner": 0.4826660752296448, "expert": 0.11999238282442093 }
48,096
I am performing the kaggle competition :""
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{ "intermediate": 0.24844972789287567, "beginner": 0.19325228035449982, "expert": 0.5582979917526245 }
48,097
I am doing the Kaggle competition "Titanic - Machine Learning from Disaster", my code: "# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load !pip...
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{ "intermediate": 0.4611983299255371, "beginner": 0.21999861299991608, "expert": 0.3188031017780304 }
48,098
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: “# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here’s several helpful packages to load !pip...
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{ "intermediate": 0.44246071577072144, "beginner": 0.23457184433937073, "expert": 0.32296743988990784 }
48,099
following the list of country codes: AF,AL,DZ,AS,AD,AO,AI,AG,AR,AM,AW,AU,AT,#CYRL,BS,BH,BD,BB,BY,BE,BZ,BJ,BM,BT,BO,#CYRL,BW,BR,IO,VG,BN,BG,#ADLM,BI,KH,CM,CA,IC,CV,BQ,KY,CF,EA,TD,CL,CN,CX,CC,CO,KM,CG,CD,CK,CR,HR,CU,CW,CY,CZ,CI,DI,DK,DG,DJ,DM,DO,EC,EG,SV,GQ,ER,EE,SZ,ET,150,FK,FO,FJ,FI,FR,GF,PF,GA,GM,GE,DE,GH,GI,GR,GL,GD,...
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{ "intermediate": 0.21980752050876617, "beginner": 0.5366187691688538, "expert": 0.24357371032238007 }
48,100
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: "# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load imp...
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{ "intermediate": 0.5781989693641663, "beginner": 0.15743790566921234, "expert": 0.2643630802631378 }
48,101
convert this pinescript to python script and use talib : // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ //@version=5 indicator(title='Twin Range Filter', overlay=true, timeframe='') source = input(defval=close, title='Source') showsignals = input(title='Sho...
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{ "intermediate": 0.3307849168777466, "beginner": 0.3821905851364136, "expert": 0.28702446818351746 }
48,102
def CheckCarAvailability(instructions,summary): flag=False dates=[] car=instructions[1] start=datetime.strptime(instructions[2],"%Y-%m-%d") print(start) start = datetime.strptime(instructions[2], "%Y-%m-%d") duration = int(instructions[3]) end = start + timedelta(days=duration-1) for...
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{ "intermediate": 0.22443349659442902, "beginner": 0.5122814178466797, "expert": 0.2632850110530853 }
48,103
у мене є основна головна сторінка,нижче код<?php require_once 'include/db.php'; $mysqli = new mysqli('localhost', 'root', '17020575', 'тур'); if ($mysqli->connect_error) { die('Помилка з\'єднання: ' . $mysqli->connect_error); } ?> <!DOCTYPE html> <html lang="ua"> <head> <meta charset="UTF-8"> <meta ...
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{ "intermediate": 0.3450203537940979, "beginner": 0.5187655091285706, "expert": 0.13621410727500916 }
48,104
есть ли тут код отвечающий за выборку от start char до далее по порядку идущих? #include "stdafx.h" #include "CBFGDefs.h" #include "Procs.h" #include "FontMapClass.h" #include "file-request.h" #include "WriteFont.h" #include <shellapi.h> // Required includes for Win2000 #include "Ws2tcpip.h" #include "Wspiapi.h" exte...
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{ "intermediate": 0.3828771710395813, "beginner": 0.3663898706436157, "expert": 0.25073301792144775 }
48,105
можно ли изменить этот код чтобы вместо прибавления к basechar по порядку символов оно использовало заранее заготовленную карту(порядок) символов? #include "stdafx.h" #include <memory.h> #include "FontMapClass.h" #include "UtilFunctions.h" BFontMap::BFontMap() { int loop; BaseChar=32; MapWidth=256; MapHeigh...
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{ "intermediate": 0.28728821873664856, "beginner": 0.4311906099319458, "expert": 0.28152111172676086 }
48,106
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: “# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here’s several helpful packages to load imp...
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{ "intermediate": 0.4141998291015625, "beginner": 0.2301241010427475, "expert": 0.3556760549545288 }
48,107
<style> body { margin: 0; font-family: Arial, sans-serif; } header { background-color: #66CDAA; padding: 15px; color: #fff; display: flex; justify-content: space-between; align-items: center; ...
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{ "intermediate": 0.3339492976665497, "beginner": 0.43508729338645935, "expert": 0.23096346855163574 }
48,108
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: “# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here’s several helpful packages to load imp...
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{ "intermediate": 0.4141998291015625, "beginner": 0.2301241010427475, "expert": 0.3556760549545288 }
48,109
accessors in computer science
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{ "intermediate": 0.2793835997581482, "beginner": 0.2402334213256836, "expert": 0.4803830087184906 }
48,110
i have challenge like this: import time import numpy as np import socket import base64 # This might be useful with the exploitation of the device at some point! #import lascar HOST = '0.0.0.0' # This must be changed to the corresponding value of the live instance PORT = 1337 # This must be changed to the correspondi...
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{ "intermediate": 0.500298261642456, "beginner": 0.3520253002643585, "expert": 0.1476764678955078 }
48,111
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: "# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load !pip...
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{ "intermediate": 0.4356418550014496, "beginner": 0.27508458495140076, "expert": 0.2892735004425049 }
48,112
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: "# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load !pip...
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{ "intermediate": 0.4356418550014496, "beginner": 0.27508458495140076, "expert": 0.2892735004425049 }
48,113
What are the replacements for cellpadding cellspacing and border attributes in CSS when describing a table?
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{ "intermediate": 0.38646554946899414, "beginner": 0.34318092465400696, "expert": 0.27035361528396606 }
48,114
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: " # This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load im...
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{ "intermediate": 0.6388859748840332, "beginner": 0.17631752789020538, "expert": 0.1847964972257614 }
48,115
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code: " # This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load im...
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{ "intermediate": 0.5621781349182129, "beginner": 0.23322196304798126, "expert": 0.20459993183612823 }
48,116
 public class Star { private int mySize; private double myDistance; private String myName; public Star() { mySize = 0; myDistance = 0; myName = "none"; the following attempts to create a Star Object. I. Star s = new Star(15, 25.9, Vega); II. Star s = new Star(); III. Star s = new Star(11, 14.25, "Rigel"); Which line ...
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{ "intermediate": 0.2957535684108734, "beginner": 0.5563386678695679, "expert": 0.14790773391723633 }
48,117
i have following code to load my trained models i have 4 trained models and 4 equal y parameters(each has 3 values to be predicted) complete the code so predict each y with each mmodel and then validate predicted result based on mae : # Placeholder for storing the data frames data_frames = [] x_scaler = joblib.load(...
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{ "intermediate": 0.24265849590301514, "beginner": 0.6116739511489868, "expert": 0.14566761255264282 }
48,118
code: # Placeholder for storing the data frames data_frames = [] x_scaler = joblib.load('snn_all_1142_x_scaler.sav') x_scaler = joblib.load('snn_all_1142_yhlp1_scaler.sav') x_scaler = joblib.load('snn_all_1142_yhlp2_scaler.sav') x_scaler = joblib.load('snn_all_1142_yhlp3_scaler.sav') x_scaler = joblib.load('snn_all_11...
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{ "intermediate": 0.32182252407073975, "beginner": 0.39669960737228394, "expert": 0.28147783875465393 }
48,119
in following code i want to perform a sigmoid on thirs column of Y1_pred: Y1_pred = model_y1.predict(X_scaled) give me proper python copde
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{ "intermediate": 0.3222676217556, "beginner": 0.15759402513504028, "expert": 0.5201382637023926 }
48,120
Could you write a script that reads a simple syntax consisting of an instruction and parameters, both provided in an array?
3707bd1454c7756d70495ad8c03a9545
{ "intermediate": 0.3574806749820709, "beginner": 0.3314478099346161, "expert": 0.3110715448856354 }
48,121
write me an order confirmation email template, professional tone, in arabic
971cfc2cec6d71fe3a16b7b408fea96d
{ "intermediate": 0.4065905809402466, "beginner": 0.3189408779144287, "expert": 0.2744685411453247 }
48,122
Could you write a price of code that reads a specific instruction in a syntax, looks it up in a array, gets the specified parameters, stored in the same array as the instruction?
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{ "intermediate": 0.46966472268104553, "beginner": 0.1541164368391037, "expert": 0.37621885538101196 }
48,123
Could you write a price of code that reads a specific instruction in a syntax, looks it up in a array, gets the specified parameters, stored in the same array as the instruction? The parameters are also written by the user, but to know how many parameters are required by the instruction the amount of parameters need to...
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{ "intermediate": 0.4388827979564667, "beginner": 0.23160450160503387, "expert": 0.32951271533966064 }
48,124
Suppose I wanted to play a simple beeping sound using ALSA in C. How would I do that?
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{ "intermediate": 0.4339192509651184, "beginner": 0.14053072035312653, "expert": 0.42555004358291626 }
48,125
convert flac to mp3 with ffmpeg using amd gpu hardware accelaration on linux
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{ "intermediate": 0.37496092915534973, "beginner": 0.2066117525100708, "expert": 0.41842734813690186 }
48,126
please check the code for errors:
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{ "intermediate": 0.3656284809112549, "beginner": 0.279302716255188, "expert": 0.3550688326358795 }
48,127
please identify what type of cipher this is: thkhdliSrsyeosoTOnanAtSeelmeAttargeIsediaotelhedoeIoolelteAamehsReTeHnSeSnlDhFeePFuFsmeMtNidlhAccgseiaslalAsnlTdieishKeADehodrDFerhuhSinvhaDaIDehosWrrnrhfdySnFhTaeBTreeksdn
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{ "intermediate": 0.4046347439289093, "beginner": 0.38990628719329834, "expert": 0.20545890927314758 }
48,128
# # For licensing see accompanying LICENSE file. # Copyright (C) 2024 Apple Inc. All Rights Reserved. # import argparse import functools from dataclasses import dataclass, field from numbers import Number from typing import Callable, Dict, List, Optional, Tuple, Union import numpy as np import torch from torch import...
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{ "intermediate": 0.35025927424430847, "beginner": 0.3643319606781006, "expert": 0.28540876507759094 }
48,129
am running a django project under django rest framework and running it with runserver , i set a static folder to server an excel file under it to react frontend and set allowed_cors to all , when react tries to fetch the file from the static path ( localhost/static/excel_file ) it return a has been blocked by CORS cuz ...
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{ "intermediate": 0.8267281651496887, "beginner": 0.08556053787469864, "expert": 0.08771131187677383 }
48,130
In this exercise, we are going to look at creating a Superclass / Subclass relationship for Students. Our superclass will be the Student class and contain the following instance variables: String name - Student’s first and last name int id - Student’s ID number double gpa - Student’s GPA Our subclass will be StudentA...
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{ "intermediate": 0.23127776384353638, "beginner": 0.5463882684707642, "expert": 0.2223338931798935 }
48,131
User const UploadModal: React.FC<UploadModalProps> = ({ open, onClose, files }) => { const onFileUpload = () => { files.forEach(file => { const uploadTask = ref(storage, `uploads/${file.name}`).put(file); uploadTask.on( "state_changed", snapshot => {}, error => { ...
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{ "intermediate": 0.4697251617908478, "beginner": 0.3119722902774811, "expert": 0.21830259263515472 }
48,132
can you give me a python code for implementing tabnet
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{ "intermediate": 0.48116442561149597, "beginner": 0.15523484349250793, "expert": 0.3636007606983185 }
48,133
suddenly with no reason after the project was worked successfully, i tried to serve again give me this D:\projects\oms_admin\node_modules\webpack-sources\lib\SizeOnlySource.js:16 return new Error( ^ Error: Content and Map of this Source is not available (only size() is supported)...
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{ "intermediate": 0.5322514772415161, "beginner": 0.23960137367248535, "expert": 0.22814717888832092 }
48,134
I would like to build a WP plugin to get familiar with WP, I don't have much experience with PHP
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{ "intermediate": 0.5601149797439575, "beginner": 0.23322321474552155, "expert": 0.20666180551052094 }
48,135
I would like to build a WP plugin to get familiar with WP, I don’t have much experience with PHP what should i build?
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{ "intermediate": 0.5390779972076416, "beginner": 0.31684499979019165, "expert": 0.14407697319984436 }
48,136
how to make something liek this [ "test item", "test category" : { "test item 2" } ]
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{ "intermediate": 0.3090571165084839, "beginner": 0.32061269879341125, "expert": 0.370330274105072 }
48,137
move ngb modal dialog to center of screen horizontally, it approximately move to left
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{ "intermediate": 0.36236611008644104, "beginner": 0.2024621069431305, "expert": 0.43517184257507324 }
48,138
c#: i have a lot of servers and i have chat between servers like player joins player one and can send messages to other servers, what should i use for this dublex messaaging or how to name that? connections should be constanly established between servers and not only chatmessages are sent between
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{ "intermediate": 0.46295416355133057, "beginner": 0.2583869993686676, "expert": 0.2786588966846466 }
48,139
convert mssql table to entity framework - "CREATE TABLE [dbo].[ObjectInCategory]( [ObjectId] [uniqueidentifier] NOT NULL, [ObjectTypeId] [uniqueidentifier] NOT NULL, [IsDeleted] [bit] NOT NULL, [CreationDate] [datetime] NOT NULL, [DeleteDate] [datetime] NOT NULL, [Ts] [timestamp] NOT NULL, [ObjectInCategoryId] [...
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{ "intermediate": 0.5225460529327393, "beginner": 0.23452189564704895, "expert": 0.2429320365190506 }
48,140
Convert to entity framework - "CREATE TABLE [dbo].[ElementPath]( [Path] [varchar](500) NULL, [ElementId] [uniqueidentifier] NULL )"
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{ "intermediate": 0.46537306904792786, "beginner": 0.241585373878479, "expert": 0.29304152727127075 }
48,141
I am trying to make a chat interface in wxWidgets C++ project, how would you tackle that? I want the left side panel to have the conversations and the rest I want to have the current selected chat. What widgets would you use to do this? How would you represent the conversations of the two participants and how would you...
518c3b2f6a146f754a5300b456caedd3
{ "intermediate": 0.5176844000816345, "beginner": 0.217820942401886, "expert": 0.26449474692344666 }
48,142
이뜌링 모음집 - 2021-06-15 221401 이뜌링 모음집 - 23106 t 이뜌링 모음집 - 23107 t 이뜌링 모음집 - 23108 t 이런 목록의 버튼을 눌리는 consol code를 만들고 싶다. 도와줘 아래는 해당 HTML을 가져왔다. <div class="mg-blog-post-box"><div class="mg-header"><div class="mg-blog-category"><div class="mg-blog-category"><a class="newsup-categories c...
bbb6ac6491abdded33eba20316ad3aff
{ "intermediate": 0.27507302165031433, "beginner": 0.5232821106910706, "expert": 0.2016448676586151 }
48,143
How to read uncommited entity framework
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{ "intermediate": 0.5265507698059082, "beginner": 0.2007337212562561, "expert": 0.2727155089378357 }
48,144
fix this python script : async def twin_range_filter(symbol, timeframe): if not mt5.initialize(): print("initialize() failed, error code =", mt5.last_error()) return None # Ambil data candlestick dari MetaTrader candles = mt5.copy_rates_from_pos(symbol, timeframe, 0, 100) # Buat Dat...
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{ "intermediate": 0.3431336283683777, "beginner": 0.39342987537384033, "expert": 0.26343652606010437 }
48,145
entity framework add read uncommited to every query entity framework
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{ "intermediate": 0.644354522228241, "beginner": 0.21372148394584656, "expert": 0.1419239491224289 }
48,146
entity framework set read uncommited to data context entity framework
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{ "intermediate": 0.5572892427444458, "beginner": 0.2541193664073944, "expert": 0.18859143555164337 }
48,147
play typing of the dead on linux
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{ "intermediate": 0.30916693806648254, "beginner": 0.41596680879592896, "expert": 0.2748662233352661 }
48,148
现在给你很多的大表,现在请你写hivesql来统一判断哪些表是空的,哪些表是不为空的,这些大表的表名是下面这些:hll_dm.dm_app_point_motion_trend_v1_1h_in hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in hll_dwb.dwb_order_expose_chain_1d_in hll_dm.dm_compass_user_funnel_behavior_1d_in hll_dwb.dwb_sensor_driver_order_expo_click_slide_detail_1d_in hll_dwb.dwb_driver_compas...
e6dbb3b8dbaa828b42f47e90064e8a1d
{ "intermediate": 0.33905577659606934, "beginner": 0.43175485730171204, "expert": 0.22918936610221863 }
48,149
whats a query string parameters? what is nc=1? and how to send them via python's requests?
9d5c3c8038688d69194263c951b868ac
{ "intermediate": 0.6273849606513977, "beginner": 0.17382800579071045, "expert": 0.19878706336021423 }
48,150
ossim server linux server scan username password and private key. on private key are password protected
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{ "intermediate": 0.35762256383895874, "beginner": 0.1887214183807373, "expert": 0.45365604758262634 }
48,151
using System; using PlayerScript.Input; using UnityEngine; namespace PlayerScript { public class PlayerCamera : MonoBehaviour { public event Action<float> OnCameraRotate; private static PlayerCamera s_Instance { get; set; } public static PlayerCamera Instance => s_Instance; ...
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{ "intermediate": 0.32165947556495667, "beginner": 0.3886631727218628, "expert": 0.2896774411201477 }
48,152
现在给你很多的大表,现在请你写hivesql来统一判断哪些表是空的,哪些表是不为空的,记住要判断所有的表,不要遗漏,这些大表的表名是下面这些:hll_dm.dm_app_point_motion_trend_v1_1h_in hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in hll_dwb.dwb_order_expose_chain_1d_in hll_dm.dm_compass_user_funnel_behavior_1d_in hll_dwb.dwb_sensor_driver_order_expo_click_slide_detail_1d_in hll_dwb.dw...
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{ "intermediate": 0.31844618916511536, "beginner": 0.46480926871299744, "expert": 0.216744527220726 }
48,153
现在给你很多的大表,现在请你写hivesql来统一判断每一张表哪些表是空的,哪些表是不为空的,记住要判断所有的表,不要遗漏,不要省略任何的表,这些大表的表名是下面这些:hll_dm.dm_app_point_motion_trend_v1_1h_in hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in hll_dwb.dwb_order_expose_chain_1d_in hll_dm.dm_compass_user_funnel_behavior_1d_in hll_dwb.dwb_sensor_driver_order_expo_click_slide_detail_1d_...
d7e4118c42f5a11714cf8508dd8b28c3
{ "intermediate": 0.27771130204200745, "beginner": 0.42535701394081116, "expert": 0.2969317138195038 }
48,154
detect the text from image without pytessract, option to select image using tkinter
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{ "intermediate": 0.34648337960243225, "beginner": 0.11261957883834839, "expert": 0.5408970713615417 }
48,155
现在给你很多的大表,现在请你写hivesql来统一判断每一张表哪些表是空的,哪些表是不为空的,记住要判断所有的表,不要遗漏不要省略,也不要写脚本,只写hivesql就好,这些大表的表名是下面这些:hll_dm.dm_app_point_motion_trend_v1_1h_in hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in hll_dwb.dwb_order_expose_chain_1d_in hll_dm.dm_compass_user_funnel_behavior_1d_in hll_dwb.dwb_sensor_driver_order_expo_click_sl...
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{ "intermediate": 0.32218194007873535, "beginner": 0.42789456248283386, "expert": 0.2499234527349472 }
48,156
现在给你很多的大表,现在请你写完整的hivesql来统一判断每一张表哪些表是空的,哪些表是不为空的,记住要判断所有的表,不要遗漏不要省略,也不要写脚本,只写hivesql就好,这些大表的表名是下面这些:hll_dm.dm_app_point_motion_trend_v1_1h_in hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in hll_dwb.dwb_order_expose_chain_1d_in hll_dm.dm_compass_user_funnel_behavior_1d_in hll_dwb.dwb_sensor_driver_order_expo_click...
d1c4103da82bf8f2037ded2fdcfbdc5d
{ "intermediate": 0.26017090678215027, "beginner": 0.5260268449783325, "expert": 0.2138022631406784 }
48,157
i have this now: response = session.post(url, data=payload, headers=headers, files={'file[]': ('image.png', files)}) what if i dont want to send any files? what code would that be?
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{ "intermediate": 0.5740837454795837, "beginner": 0.23329457640647888, "expert": 0.19262169301509857 }
48,158
以下是hivesql判断一张表是否为空的:学习下面的hivesql:SELECT 'hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in' as table_name, CASE WHEN COUNT(1) > 0 THEN 'Not empty' ELSE 'empty' END as status FROM (SELECT 1 FROM hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in where dt='2024-04-25' LIMIT 1) t
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{ "intermediate": 0.3484835922718048, "beginner": 0.37530580163002014, "expert": 0.27621060609817505 }
48,159
以下是hivesql判断一张表是否为空的:学习下面的hivesql:SELECT ‘hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in’ as table_name, CASE WHEN COUNT(1) > 0 THEN ‘Not empty’ ELSE ‘empty’ END as status FROM (SELECT 1 FROM hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in where dt=‘2024-04-25’ LIMIT 1) t
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{ "intermediate": 0.33117178082466125, "beginner": 0.36566829681396484, "expert": 0.3031599223613739 }
48,160
以下是hivesql判断一张表是否为空的:学习下面的hivesql:SELECT ‘hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in’ as table_name, CASE WHEN COUNT(1) > 0 THEN ‘Not empty’ ELSE ‘empty’ END as status FROM (SELECT 1 FROM hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in where dt=‘2024-04-25’ LIMIT 1) t
45ca1e3a1ba266faf8df29b3d7c1702d
{ "intermediate": 0.33117178082466125, "beginner": 0.36566829681396484, "expert": 0.3031599223613739 }
48,161
Vue 3 element plus. How to validate form on mount
7130a895613e7ee97bbb95fb2b71d511
{ "intermediate": 0.4764839708805084, "beginner": 0.23880818486213684, "expert": 0.28470781445503235 }
48,162
hll_dm.dm_app_point_motion_trend_v1_1h_in hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in hll_dwb.dwb_order_expose_chain_1d_in。以上是一些库表名,格式是“库名.表名”。现在希望你把上面的格式改成:hll_compare.库名__表名
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{ "intermediate": 0.35972192883491516, "beginner": 0.2555314302444458, "expert": 0.3847466707229614 }
48,163
Write a persuasive essay on why the 1st amendment is the most important Amendment to the U.S. Constitution: Amendment Include three reasons to support your thesis. Suggested Organization: Paragraph 1 - Introduction and thesis statement Paragraph 2 - Reason 1 and argument Paragraph 3 - Reason 2 and argument Paragraph 4 ...
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{ "intermediate": 0.37556353211402893, "beginner": 0.2765560746192932, "expert": 0.34788036346435547 }
48,164
import asyncio import sys import numpy as np from datetime import datetime import MetaTrader5 as mt5 import talib import pandas as pd from telegram import Bot ## Telegram ---------------------------- TOKEN = '6015612448:AAFGB5C35wkCItukxTEJrWY3gyqZy-iK5r4' CHAT_ID = '882283026' bot = Bot(TOKEN) ## Metatrader --------...
eeb5f3750ec5ae60d200eaf59fb5ed99
{ "intermediate": 0.38881534337997437, "beginner": 0.4451081156730652, "expert": 0.16607648134231567 }
48,165
 Use the following class to answer the question. public class Automobiles { private String myMandM; private int myNumPassengers; private double myEngineSize; private boolean isHybrid; public Automobiles() { myManoM = "none"; Which of the following lines of code does NOT compile? A. Automobiles a3 = new Automobiles("v...
97406073ea4712c405ae27e951343bc5
{ "intermediate": 0.17165692150592804, "beginner": 0.6715929508209229, "expert": 0.1567501723766327 }
48,166
理解下面用hivesql判断表是否为空语句:SELECT ‘hll_compare.hll_dm__dm_app_point_motion_trend_v1_1h_in’ AS table_name , CASE WHEN COUNT(1) > 0 THEN ‘Not empty’ ELSE ‘empty’ END AS status FROM ( SELECT 1 FROM hll_compare.hll_dm__dm_app_point_motion_trend_v1_1h_in WHERE dt = ‘2024-04-25’ LIMIT 1 ) t。现在给你更多的表名,请你按照上面给你hivesql一样的判断方法来写hives...
46c1a07aab8807602b3cc3afe994acef
{ "intermediate": 0.34320592880249023, "beginner": 0.3499491810798645, "expert": 0.3068448603153229 }
48,167
现在给你很多的大表,现在请你写hivesql来统一判断每一张表哪些表是空的,哪些表是不为空的,记住要判断所有的表,不要遗漏不要省略,这些大表的表名是下面这些:hll_dm.dm_app_point_motion_trend_v1_1h_in hll_dwb.dwb_lbs_compass_expo_order_driver_area_1d_in hll_dwb.dwb_order_expose_chain_1d_in hll_dm.dm_compass_user_funnel_behavior_1d_in hll_dwb.dwb_sensor_driver_order_expo_click_slide_detail_1d_in hl...
c764970736a255df108936c4a9a7283c
{ "intermediate": 0.26672911643981934, "beginner": 0.4248306155204773, "expert": 0.308440238237381 }
48,168
在import math import logging from functools import partial from collections import OrderedDict from copy import deepcopy import torch import torch.nn as nn import torch.nn.functional as F from timm.models.layers import to_2tuple from lib.models.layers.patch_embed import PatchEmbed, PatchEmbed_event, xcorr_depthwise f...
ca8d4dbd0be70773f0d215a7138318b5
{ "intermediate": 0.4144701659679413, "beginner": 0.39271798729896545, "expert": 0.19281193614006042 }
48,169
5. An electrical firm manufactures light bulbs that have a normally distributed lifespan with a mean of 800 hours and a standard deviation of 40 hours. (a) Find the probability the bulb burns between 778 and 834 hours. (b) Find the probability the bulb burns longer than 896 hours.
80d69c566b907314d7d34b1e04c536a1
{ "intermediate": 0.4016805589199066, "beginner": 0.39570924639701843, "expert": 0.20261022448539734 }
48,170
What is the code that muted line 6 in G code?
da427b7ce58611c36b8bfad8e95554cd
{ "intermediate": 0.2921062707901001, "beginner": 0.35837578773498535, "expert": 0.34951794147491455 }
48,171
What is the code that muted line 6 in G chord?
7455d236e42576afbe21fb77598069ae
{ "intermediate": 0.3753429651260376, "beginner": 0.3347611725330353, "expert": 0.2898959219455719 }
48,172
源代码中包含的代码① import math import logging from functools import partial from collections import OrderedDict from copy import deepcopy import torch import torch.nn as nn import torch.nn.functional as F from timm.models.layers import to_2tuple from lib.models.layers.patch_embed import PatchEmbed, PatchEmbed_event, xcorr_d...
8b7faacbb96ed30fb45f0a192575168c
{ "intermediate": 0.3723090589046478, "beginner": 0.4451221823692322, "expert": 0.18256868422031403 }
48,173
Hello ChatGPT, I need some matplotlib code written to display a figure. I need to load the following csv file: exposure_bias_non_gap.csv it looks like this: model prefix Rep_2 gpt2 20 0.0456923548707846 gpt2 40 0.0376174829107073 gpt2 60 0.0385942191087302 gpt2 80 0.0399946315930748 gpt2 100 0.0160664433651837 gpt2+k...
3226f1cf03a84d8fe97aaa0b0fc33da0
{ "intermediate": 0.3885008990764618, "beginner": 0.2789492905139923, "expert": 0.3325497806072235 }
48,174
multipart/form-data what is it. explain like im 5
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{ "intermediate": 0.37924084067344666, "beginner": 0.2952773869037628, "expert": 0.32548174262046814 }
48,175
generate 1 color image with random resolution from 50x50 to 150x150 pixels using python
f5a83292a5d6f580ff824a890310c063
{ "intermediate": 0.2849481403827667, "beginner": 0.16303536295890808, "expert": 0.5520164370536804 }
48,176
import numpy as np import pandas as pd from backtesting import Strategy, Backtest import talib import MetaTrader5 as mt5 mt5.initialize() def get_historical_data(symbol, timeframe, start_pos, count): rates = mt5.copy_rates_from_pos(symbol, timeframe, start_pos, count) df = pd.DataFrame(rates) df['time'] =...
a1d3c2a3616cc1c2cf4f6ddcf5ca1b07
{ "intermediate": 0.4968603849411011, "beginner": 0.30280935764312744, "expert": 0.2003302425146103 }
48,177
what is gradio?
92f5051aeaec076513d34ff5fe97b5f5
{ "intermediate": 0.24201053380966187, "beginner": 0.12483757734298706, "expert": 0.6331518292427063 }
48,178
Make CSS code for this HTML, which is a redesign. Use a code block for this. <!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>Progresswire Coo</title> <link rel="stylesheet" href="newstyle.css"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> ...
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{ "intermediate": 0.3535723090171814, "beginner": 0.26828986406326294, "expert": 0.3781377971172333 }
48,179
Make a CSS for this that is a redesign. Use code blocks, no comments, flexes, and the color #447db7. Also don't use smart quotes <!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>Progresswire Coo</title> <link rel="stylesheet" href="newstyle.css"> <meta name="viewport" cont...
f448168a22e57ab1b701af710631399a
{ "intermediate": 0.3376358151435852, "beginner": 0.3734409511089325, "expert": 0.2889232039451599 }
48,180
Make a CSS for this redesign. Use code blocks, no comments, flexes and the color #447db7 <!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>Progresswire Coo</title> <link rel="stylesheet" href="newstyle.css"> <meta name="viewport" content="width=device-width, initial-scale=1...
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{ "intermediate": 0.36556583642959595, "beginner": 0.2306639850139618, "expert": 0.40377017855644226 }
48,181
Make a CSS for this redesign. Use code blocks, no comments, flexes and the color #447db7 <!DOCTYPE html> <html> <head> <meta charset=“utf-8”> <title>Progresswire Coo</title> <link rel=“stylesheet” href=“newstyle.css”> <meta name=“viewport” content=“width=device-width, initial-scale=1.0”> <meta name=“description” conten...
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{ "intermediate": 0.35384154319763184, "beginner": 0.2902519404888153, "expert": 0.35590648651123047 }
48,182
Make a CSS for this redesign. Use code blocks, no comments, flexes and the color #447db7 <!DOCTYPE html> <html> <head> <meta charset=“utf-8”> <title>Progresswire Coo</title> <link rel=“stylesheet” href=“newstyle.css”> <meta name=“viewport” content=“width=device-width, initial-scale=1.0”> <meta name=“description” conten...
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{ "intermediate": 0.35384154319763184, "beginner": 0.2902519404888153, "expert": 0.35590648651123047 }
48,183
Make a CSS for this redesign using code blocks, no comments, flexes and the color #447db7 for links and lightened/darkened for other stuff like headers <!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>Progresswire Coo</title> <link rel="stylesheet" href="newstyle.css"> <me...
d306b0348aa86348b527a0ac486c96a4
{ "intermediate": 0.2883540689945221, "beginner": 0.3006053864955902, "expert": 0.4110405147075653 }
48,184
Merge these 2 CSS's into one. Reference: @import url('https://fonts.googleapis.com/css2?family=Overpass&display=swap'); @import url('https://fonts.googleapis.com/css2?family=Overpass:wght@700&display=swap'); body { background-color: #f0f0f0; font-family: "Overpass", sans-serif; color: #333; } header { ...
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{ "intermediate": 0.41566428542137146, "beginner": 0.3311455547809601, "expert": 0.25319015979766846 }
48,185
write java code: Create concurrent Refinable Hashset data structure with 1 Million nodes and perform the basic operations (contains, insert, and remove) by varying the number of threads from 1 to 20 (i.e., 1, 2, 4, 6, 8, 10, 12 ... 20) and for different workloads (100C-0I-0D, 90C-9I-1D, 50C-25I-25D, 30C-35I-35D, 0C-50I...
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{ "intermediate": 0.5024796724319458, "beginner": 0.24879270792007446, "expert": 0.24872764945030212 }
48,186
Сдейлай лаконичный пересказ на английском языке, рассказывающий об истоии The Teck Turquoise Tiara "The incredible Gloucester tiara collection includes multiple pieces inherited from Queen Mary, including the Teck Turquoise Tiara. Combining turquoises with diamonds in an intricate design, the tiara has been worn by two...
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{ "intermediate": 0.17757540941238403, "beginner": 0.5293183326721191, "expert": 0.2931062579154968 }
48,187
120/120 - 39s - 329ms/step - accuracy: 0.7124 - loss: 0.6110 - val_accuracy: 0.6900 - val_loss: 1.2085 Epoch 2/20 120/120 - 34s - 286ms/step - accuracy: 0.7751 - loss: 0.4634 - val_accuracy: 0.6900 - val_loss: 0.9913 Epoch 3/20 120/120 - 33s - 272ms/step - accuracy: 0.8211 - loss: 0.3980 - val_accuracy: 0.6200 - val_lo...
50347eec55f21ce1f8e92bbdce4cbfca
{ "intermediate": 0.26877427101135254, "beginner": 0.4403032064437866, "expert": 0.29092252254486084 }
48,188
what are this model can do that other LLMs cant do like chatGPT?
3fff2bc5732058a6c44b059d71f08873
{ "intermediate": 0.2707754373550415, "beginner": 0.12431307137012482, "expert": 0.6049114465713501 }
48,189
what are the free to use openai models using API?
5d90fec581cc2ae42bf035c7b0dca11f
{ "intermediate": 0.3350169062614441, "beginner": 0.1075458899140358, "expert": 0.5574371814727783 }
48,190
add channel as header in http request
1e16db83c0f9729b7b072ad734cb38b8
{ "intermediate": 0.2882600724697113, "beginner": 0.3026033341884613, "expert": 0.409136563539505 }
48,191
convert python lang grammar to ebnf
74282c3cd2c38af278c216b6d219172a
{ "intermediate": 0.25920674204826355, "beginner": 0.4904835820198059, "expert": 0.25030967593193054 }