row_id int64 0 48.4k | init_message stringlengths 1 342k | conversation_hash stringlengths 32 32 | scores dict |
|---|---|---|---|
46,888 | # Recalculate with explicit column creation for RewardToRisk
assets <- assets %>%
mutate(RewardToRisk = MedianReturn / StandardDeviation)
# Now proceed with Strategy 1 selection, ensuring the RewardToRisk column exists.
strategy1_selection <- assets %>%
arrange(desc(RewardToRisk)) %>%
group_by(Category) %>%
m... | 978f59f1895f9a5942b19cfbee81dddb | {
"intermediate": 0.45928165316581726,
"beginner": 0.32478970289230347,
"expert": 0.21592862904071808
} |
46,889 | {r}
# Define the data for Strategy 1
strategy1_selection <- data.frame(
Asset = c("T", "PFE", "XAU", "GOOGL", "USDINR"),
Median_Return = c(0.009617963, 0.002619454, 0.001102195, -0.002813010, -0.003632318),
Standard_Deviation = c(0.04303437, 0.01576457, 0.03418468, 0.04782845, 0.04273717)
)
# Calculate reward-to... | 8562f636cd62e4233de51c929b494552 | {
"intermediate": 0.36140134930610657,
"beginner": 0.332828164100647,
"expert": 0.30577051639556885
} |
46,890 | Sub CreateHourlySummary()
Dim rawDataSheet As Worksheet
Dim summarySheet As Worksheet
Dim lastRow As Long
Dim lastCol As Long
Dim i As Long
Dim j As Long
' Ajouter une nouvelle feuille pour les données brutes
Set rawDataSheet = Worksheets.Add(After:=ActiveSheet)
rawDataSheet.Nam... | 68ee653a3888e8b02f217b7ef5ec693a | {
"intermediate": 0.2841053605079651,
"beginner": 0.41719067096710205,
"expert": 0.29870396852493286
} |
46,891 | kafka python implement at least once consumer | 6eca82bb723a89159983c56ae10b0541 | {
"intermediate": 0.4418178200721741,
"beginner": 0.30813145637512207,
"expert": 0.25005069375038147
} |
46,892 | log_returns <- get("log_returns") # Replace with the actual object name
Show in New Window
Error in log_returns$Asset : $ operator is invalid for atomic vectors | 1d12d48f495ca2949ba440a3e22caf4f | {
"intermediate": 0.3307780623435974,
"beginner": 0.41633355617523193,
"expert": 0.25288838148117065
} |
46,893 | log_returns <- get("log_returns") # Replace with the actual object name
# Select assets for Strategy 1
strategy1_assets <- c("T", "PFE", "XAU", "GOOGL", "USDINR")
strategy1_selection <- log_returns[log_returns$Asset %in% strategy1_assets, ]
# Select assets for Strategy 2
strategy2_assets <- c("EURUSD", "NG", "PFE", ... | d212166814aecaf933c9250dd4ca6e2e | {
"intermediate": 0.39389586448669434,
"beginner": 0.18726059794425964,
"expert": 0.4188435673713684
} |
46,894 | log_returns <- get("log_returns") # Replace with the actual object name
# Select assets for Strategy 1
strategy1_assets <- c("T", "PFE", "XAU", "GOOGL", "USDINR")
strategy1_selection <- log_returns[log_returns$Asset %in% strategy1_assets, ]
# Select assets for Strategy 2
strategy2_assets <- c("EURUSD", "NG", "PFE", ... | 28f4b7b1f0f2d004d53e61912b4b7086 | {
"intermediate": 0.39389586448669434,
"beginner": 0.18726059794425964,
"expert": 0.4188435673713684
} |
46,895 | log_returns <- get("log_returns") # Replace with the actual object name
# Select assets for Strategy 1
strategy1_assets <- c("T", "PFE", "XAU", "GOOGL", "USDINR")
strategy1_selection <- log_returns[log_returns$Asset %in% strategy1_assets, ]
# Select assets for Strategy 2
strategy2_assets <- c("EURUSD", "NG", "PFE", ... | 38596eb448661e7f04573af016580ee4 | {
"intermediate": 0.39389586448669434,
"beginner": 0.18726059794425964,
"expert": 0.4188435673713684
} |
46,896 | Sub CreateHourlySummary2()
Dim rawDataSheet As Worksheet
Dim summarySheet As Worksheet
Dim lastRow As Long
Dim i As Long
Dim dateVal As Variant
Dim hourVal As Integer
Dim summaryRow As Variant
' Add a new sheet for raw data
Set rawDataSheet = Worksheets.Add(After:=ActiveSheet)
... | ea966aac69158a0221f48936f7ea49bf | {
"intermediate": 0.2614644169807434,
"beginner": 0.548253059387207,
"expert": 0.19028250873088837
} |
46,897 | log_returns <- get("log_returns") # Replace with the actual object name
# Select assets for Strategy 1
strategy1_assets <- c("T", "PFE", "XAU", "GOOGL", "USDINR")
strategy1_selection <- log_returns[log_returns$Asset %in% strategy1_assets, ]
# Select assets for Strategy 2
strategy2_assets <- c("EURUSD", "NG", "PFE", ... | 375a2b0869bc0fcbf268545d1c712894 | {
"intermediate": 0.39389586448669434,
"beginner": 0.18726059794425964,
"expert": 0.4188435673713684
} |
46,898 | log_returns <- get("log_returns") # Replace with the actual object name
# Select assets for Strategy 1
strategy1_assets <- c("T", "PFE", "XAU", "GOOGL", "USDINR")
strategy1_selection <- log_returns[log_returns$Asset %in% strategy1_assets, ]
# Select assets for Strategy 2
strategy2_assets <- c("EURUSD", "NG", "PFE", ... | 13705b19fedeab3b77db5e16c5f0d347 | {
"intermediate": 0.39389586448669434,
"beginner": 0.18726059794425964,
"expert": 0.4188435673713684
} |
46,899 | log_returns <- get("log_returns") # Replace with the actual object name
# Select assets for Strategy 1
strategy1_assets <- c("T", "PFE", "XAU", "GOOGL", "USDINR")
strategy1_selection <- log_returns[log_returns$Asset %in% strategy1_assets, ]
# Select assets for Strategy 2
strategy2_assets <- c("EURUSD", "NG", "PFE", ... | 6a4bca2c4a3d000d560986c1efa2e164 | {
"intermediate": 0.39389586448669434,
"beginner": 0.18726059794425964,
"expert": 0.4188435673713684
} |
46,900 | how to load groovy script in jenkins pipeline to use method from loaded script to initialize environment | 77ce98117eec46d7f870f8cbd01a4d24 | {
"intermediate": 0.5166947245597839,
"beginner": 0.1969502866268158,
"expert": 0.28635498881340027
} |
46,901 | Delete lobby after game complete Colyseus | 357291bc19ad191caeb79a5cded9da81 | {
"intermediate": 0.2955457866191864,
"beginner": 0.3458685576915741,
"expert": 0.3585856556892395
} |
46,902 | Scratch code:
`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)}... | e74610b9abbaafa6eeb47f4daa38f2a7 | {
"intermediate": 0.3375415503978729,
"beginner": 0.2698330283164978,
"expert": 0.3926254212856293
} |
46,903 | write a code for segment tree | 6abb206c84765632ae42a3e722e2c874 | {
"intermediate": 0.2204861342906952,
"beginner": 0.16194169223308563,
"expert": 0.6175721883773804
} |
46,904 | Scratch code:
`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 HoursTime 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... | 901a2e8461b07b5fa57eb0650fbd9c6e | {
"intermediate": 0.29776787757873535,
"beginner": 0.27292850613594055,
"expert": 0.4293036460876465
} |
46,905 | Scratch code:
`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 HoursTime 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... | 1c069fbb9b47a778a9bf908dc9f6bf5c | {
"intermediate": 0.352138489484787,
"beginner": 0.28431567549705505,
"expert": 0.36354583501815796
} |
46,906 | I wnat to connect to a postgresql ,i have 102.32.11.22 ,3232 as port ,user name,password,db name as db,how do that in python | c5faa7f3410e8d88c62c5230b01758a9 | {
"intermediate": 0.6056522727012634,
"beginner": 0.1531578004360199,
"expert": 0.24118998646736145
} |
46,907 | Can you create flow diagram for any code? | 57406e907ae1d983b4163a5abf4e3049 | {
"intermediate": 0.46227163076400757,
"beginner": 0.22486576437950134,
"expert": 0.3128626346588135
} |
46,908 | in this javascript else statement I want to create a button with the id newStation and text 'Add a Station' to the instructions element 'else {
console.log(
"Maximum number of carriages reached! You can't buy more."
);
ins... | f1c1cec8569117b755f6917655ce72f1 | {
"intermediate": 0.3718118965625763,
"beginner": 0.4684402346611023,
"expert": 0.15974785387516022
} |
46,909 | Weights for Strategy 1:
T : 80.37 %
PFE : 59.75 %
XAU : 11.59 %
GOOGL : -21.15 %
USDINR : -30.56 %
Weights for Strategy 2:
EURUSD : -613.3 %
NG : -369.74 %
PFE : 543.94 %
GOOGL : -192.53 %
T : 731.63 %
Global Minimum Variance Portfolio Weights (without short selling):
T : 14.5 %
PFE : 39.59 %
XAU : 18.26 %
GOOGL : 13... | 76cfb8ccb15cf0320abce836274b8c6e | {
"intermediate": 0.33539068698883057,
"beginner": 0.3395051658153534,
"expert": 0.3251041769981384
} |
46,910 | # Define the data for Strategy 1
strategy1_selection <- data.frame(
Asset = c("T", "PFE", "XAU", "GOOGL", "USDINR"),
Median_Return = c(0.009617963, 0.002619454, 0.001102195, -0.002813010, -0.003632318),
Standard_Deviation = c(0.04303437, 0.01576457, 0.03418468, 0.04782845, 0.04273717)
)
# Calculate reward-to-ris... | d2fd498d33df115c018c8a7a25853936 | {
"intermediate": 0.29864710569381714,
"beginner": 0.4009788930416107,
"expert": 0.30037403106689453
} |
46,911 | 3.
Show the year and subject that won 'Albert Einstein' his prize. sql query | 466691cc8b103fe8debdfd0c4c3e9781 | {
"intermediate": 0.30257946252822876,
"beginner": 0.3748353123664856,
"expert": 0.32258525490760803
} |
46,912 | здесь в запрос передается незамаскированный номер карты в payInfo, как мне через clone передать этот объект с рамаскированной картой
2024-04-16T10:29:29.076+04:00 INFO 9048 --- [ntContainer#3-1] acq.micro.tkb.impl.TkbRestClientImpl : [requestPostTkb] paymentInfo = {"orderId":14378,"processId":8319,"amount":100.00,... | 450a696f7a3180ad652d0a7dbdae661a | {
"intermediate": 0.4235384464263916,
"beginner": 0.27956849336624146,
"expert": 0.2968931198120117
} |
46,913 | how to check if printer is online or offline via powershell
Get-Printer | Select Name, PrinterStatus does not show actual data - I disconnected printer but it still says normal | 498b958e44b9092a0959e8a307e9fdaa | {
"intermediate": 0.5105958580970764,
"beginner": 0.17271266877651215,
"expert": 0.3166915476322174
} |
46,914 | How to check if zebra printer is connected via cmd or powershell | 4867ee5ceb1ac1f38cdf3bbdb1ddfabd | {
"intermediate": 0.4216356575489044,
"beginner": 0.25122934579849243,
"expert": 0.32713496685028076
} |
46,915 | how to write google test for the function static struct graphics_gc_priv *gc_new(struct graphics_priv *gr, struct graphics_gc_methods *meth) {
struct graphics_gc_priv *gc = g_new0(struct graphics_gc_priv, 1);
*meth = gc_methods;
gc->gr = gr;
gc->linewidth = 1;
return gc;
} | 7ac2b3a3b9b88a3545b04d08d3763295 | {
"intermediate": 0.31760910153388977,
"beginner": 0.46022966504096985,
"expert": 0.2221612185239792
} |
46,916 | correct this:
model = NBEATSx(h=1, input_size=24,
#loss=MQLoss(level=[80, 90]),
loss=DistributionLoss(distribution='Normal', level=[90]),
#scaler_type='robust',
stack_types=['identity'],
dropout_prob_theta=0.1,
hist_exog_lis... | a690d7ff75fe628dcec4e6a1e4f9bced | {
"intermediate": 0.24604497849941254,
"beginner": 0.5811511278152466,
"expert": 0.17280392348766327
} |
46,917 | Gtest UT for static int CntrlRunner(void)
{
char user_in[64] = "";
struct timeval tv;
int ret = 0;
fd_set fds;
while (!is_thread_exit)
{
FD_ZERO(&fds);
FD_SET(STDIN_FILENO, &fds);
tv.tv_sec = 1;
tv.tv_usec = 0;
ret = ... | 71dfc4f09741df787a25326b5d02dc8a | {
"intermediate": 0.274549275636673,
"beginner": 0.5708104372024536,
"expert": 0.1546403020620346
} |
46,918 | Перепиши данный код на Java JDK 1.8.0_181 Save New Duplicate & Edit Just Text
#include <bits/stdc++.h>
// tiom4eg's precompiler options
// POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS POGGERS
// IO settings
#define fastIO ios_base::sync_with_stdio(false); cin.tie(0)
// Quick types
#define ll long long
#define... | d5bacf1db183e0c41e7640b4753087ac | {
"intermediate": 0.3494819104671478,
"beginner": 0.4789440333843231,
"expert": 0.17157405614852905
} |
46,919 | Перепиши данный код на Java JDK 1.8.0_181
#include <bits/stdc++.h>
using namespace std;
vector<pair<int, int>> buildPath(int n, int m) {
vector<pair<int, int>> result;
result.reserve(n * m);
int x = 0;
int y = 0;
do {
result.push_back({x, y});
if (y == 0) {
if (x == 0) {
++y;
} else {
--x;
}
... | 52e1e378b67c2451c38e075b9bf78ee6 | {
"intermediate": 0.2998574376106262,
"beginner": 0.5099368095397949,
"expert": 0.19020572304725647
} |
46,920 | i have a model in django named profile containing : named , surname , adress , i want to add in 2 auto value field created_at and last_modified that : created_at takes the date and time a new profile has been created and leaves a record of it , and last_modified keeps the last date and time of when a certain record ha... | a7333d4141f19f9984c7b931790b0496 | {
"intermediate": 0.5666645169258118,
"beginner": 0.08877965062856674,
"expert": 0.3445558249950409
} |
46,921 | Перепиши данный код на Python3 3.5.2
#include <bits/stdc++.h>
using namespace std;
vector<pair<int, int>> buildPath(int n, int m) {
vector<pair<int, int>> result;
result.reserve(n * m);
int x = 0;
int y = 0;
do {
result.push_back({x, y});
if (y == 0) {
if (x == 0) {
++y;
} else {
--x;
}
} e... | 6405f1f3c8f9f5e96cdc7573b532d861 | {
"intermediate": 0.3137347400188446,
"beginner": 0.4663085341453552,
"expert": 0.21995672583580017
} |
46,922 | Перепиши данный код на C++ 17
def build_path(n, m):
result = []
x, y = 0, 0
while True:
result.append((x, y))
if y == 0:
if x == 0:
y += 1
else:
x -= 1
elif x < n - 2 or n % 2 == 0:
if x % 2 == 0:
if... | f6592cdd0afd0016d7cd3e4f0f8df0f1 | {
"intermediate": 0.27120116353034973,
"beginner": 0.46317213773727417,
"expert": 0.2656266987323761
} |
46,923 | Hi | 3a9b3b6c31b5e6b288f166d174eb5ff3 | {
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
} |
46,924 | hi | e2fe984d107d5b5a562966c9ddcc9383 | {
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
} |
46,925 | hello | f1cd769e373780f3f1821811be4a8206 | {
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
} |
46,926 | You have to regress your Portfolio Return on your chosen factors..........Can you explain this considering below question
Your supervisor is interested to identify certain factors that may be helpful to explain your Portfolio return. Henceforth, you need to identify certain factors that might influence your chosen Por... | 61588e6c571c5bf44956cdd2d3a3c964 | {
"intermediate": 0.39575478434562683,
"beginner": 0.2433857023715973,
"expert": 0.3608595132827759
} |
46,927 | {r}
# Define the data for Strategy 1
strategy1_selection <- data.frame(
Asset = c("T", "PFE", "XAU", "GOOGL", "USDINR"),
Median_Return = c(0.009617963, 0.002619454, 0.001102195, -0.002813010, -0.003632318),
Standard_Deviation = c(0.04303437, 0.01576457, 0.03418468, 0.04782845, 0.04273717)
)
# Calculate reward-to... | 5a4a98e65abc7407a522dc2a9196893c | {
"intermediate": 0.3405984938144684,
"beginner": 0.41410642862319946,
"expert": 0.24529509246349335
} |
46,928 | {r}
# Define the data for Strategy 1
strategy1_selection <- data.frame(
Asset = c("T", "PFE", "XAU", "GOOGL", "USDINR"),
Median_Return = c(0.009617963, 0.002619454, 0.001102195, -0.002813010, -0.003632318),
Standard_Deviation = c(0.04303437, 0.01576457, 0.03418468, 0.04782845, 0.04273717)
)
# Calculate reward-to... | e92df7f4a60674f6fc47de9f566c6129 | {
"intermediate": 0.3405984938144684,
"beginner": 0.41410642862319946,
"expert": 0.24529509246349335
} |
46,929 | I have this bar plot:
df = pd.read_csv('results//experiments//wahlomat//responses-mixtral-base-10-iterations-wahlomat.csv')
#result_df = pd.DataFrame(index=range(0, 62), columns=range(1, 5), dtype=float) # FOR PCT
result_df = pd.DataFrame(index=range(0, 38), columns=range(1, 3), dtype=float)
# Loop through each state... | e3ae84eff4da5ede3aea016ce1962f23 | {
"intermediate": 0.27989333868026733,
"beginner": 0.5337769389152527,
"expert": 0.1863297075033188
} |
46,930 | i have following code to train a NN model on my dataset
change it properly so instead of NN i train a LSTM model :
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
import joblib
# %%
file_path = r"C:\Users\arisa\Desktop\combined_day.csv"
batch... | b091317bdbc5351ca7208c306b6d8ac1 | {
"intermediate": 0.44604647159576416,
"beginner": 0.350625216960907,
"expert": 0.2033282220363617
} |
46,931 | проверь программу. shopping_dict = {}
for i in range(5):
number = input("Введите номер покупки: ")
item = input("Введите название покупки: ")
shopping_dict[number] = item
print("\nСловарь покупок:")
print(shopping_dict)
item_to_remove = input("\nВведите номер покупки, которую хотите удалить: ")
if item_to_remov... | c481c99b4c580d46f29fe8c72b96c74e | {
"intermediate": 0.30495089292526245,
"beginner": 0.4886416792869568,
"expert": 0.20640741288661957
} |
46,932 | I have this bar plot:
df = pd.read_csv('results//experiments//wahlomat//responses-mixtral-base-10-iterations-wahlomat.csv')
#result_df = pd.DataFrame(index=range(0, 62), columns=range(1, 5), dtype=float) # FOR PCT
result_df = pd.DataFrame(index=range(0, 38), columns=range(1, 3), dtype=float)
# Loop through each state... | 58e41709d303fcc888523d20512eb691 | {
"intermediate": 0.45536747574806213,
"beginner": 0.43780165910720825,
"expert": 0.1068309023976326
} |
46,933 | please can you give me an array of ways for replacing the bracketed words in the following whilst ensuring it still makes sense contextually, is professional and eloquent, demonstrates astonishing linguistic prowess whilst maintaining a tone one would use in writing an important assessment: Leveraging the Feistel ciphe... | 3d69c0a55f22a07852addf64408ae378 | {
"intermediate": 0.49196958541870117,
"beginner": 0.30859890580177307,
"expert": 0.19943146407604218
} |
46,934 | Your supervisor is interested to identify certain factors that may be helpful to explain your Portfolio return. Henceforth, you need to identify certain factors that might influence your chosen Portfolio's and comment on the explainability of the chosen factors.
Note: Kindly mention the data source from where you have... | 223f424bab7cfbd1b03b4f1e4741a9ea | {
"intermediate": 0.2839149534702301,
"beginner": 0.43011894822120667,
"expert": 0.2859661281108856
} |
46,935 | SVG of extended text size/fonts, convert into PNG. Where's website link. | 578bc84dc2fd30dc9da775b9d04a8410 | {
"intermediate": 0.41236335039138794,
"beginner": 0.20050480961799622,
"expert": 0.38713181018829346
} |
46,936 | You're a good soldier
Choosing your battles
Pick yourself up
Dust yourself off
And get back in the saddle
You're on the front line
Everyone's watching
You know it's serious
We are getting closer
This isn't over
The pressure is on
You feel it
But you got it all,
Believe it
When you fall
Get up oh, oh
If you fall
Get up ... | 2b020cfc1fdb2efc611bcc8970e050b5 | {
"intermediate": 0.3633890151977539,
"beginner": 0.24963915348052979,
"expert": 0.3869718015193939
} |
46,937 | i have following code to build my model:
def build_lstm_model(input_shape):
model = Sequential([
LSTM(6427, activation='relu', input_shape=input_shape, return_sequences=True), # Adjusted for LSTM
Dropout(0.20),
LSTM(2048, activation='relu', return_sequences=False), # Additional LSTM layer
... | b8107b2bd452d338d796c6d7777daa36 | {
"intermediate": 0.4565059244632721,
"beginner": 0.1892591416835785,
"expert": 0.354234904050827
} |
46,938 | {
"name": "ResourceExhaustedError",
"message": "{{function_node __wrapped__AddV2_device_/job:localhost/replica:0/task:0/device:GPU:0}} failed to allocate memory [Op:AddV2]",
"stack": "---------------------------------------------------------------------------
ResourceExhaustedError Traceback (most... | e08d974ab52db33eaecaa81ad7c0bdd7 | {
"intermediate": 0.4344140291213989,
"beginner": 0.384290486574173,
"expert": 0.1812954694032669
} |
46,939 | Перепиши отрисовку графиков в приведенном коде с использование plotly:
def calc_experience(df, experience_column, stab_features, method='diff', percent=0.05, smooth=True, sigma=1, draw_graph=True):
df_experience = pd.DataFrame()
n = len(stab_features)
ncols = 3
nrows = np.ceil(n / ncols).astype(in... | d99b3b577bb32891e8db4c81e9377e18 | {
"intermediate": 0.31332218647003174,
"beginner": 0.4665812849998474,
"expert": 0.22009652853012085
} |
46,940 | code:
def build_lstm_model(input_shape):
model = Sequential([
LSTM(512, activation='relu', input_shape=input_shape, return_sequences=True), # Adjusted for LSTM
Dropout(0.20),
LSTM(256, activation='relu', return_sequences=False), # Additional LSTM layer
Dropout(0.10),
LSTM(1... | 48433db92f5998fa7a73172f8286f5d6 | {
"intermediate": 0.385625422000885,
"beginner": 0.2919767498970032,
"expert": 0.32239776849746704
} |
46,941 | I use this function to send some info to online DB :
void Send_Log_To_Online_DB (const String& msg_type, const String& PIR_id){
is_server_log_sending = true;
if ((millis() - start_log_sending_millis) > 10000){
start_log_sending_millis = millis();
WiFiClientSecure clientSecure;
clientSecure.setIns... | 326a8a59cfdaf14d5bc4c25ae049aac7 | {
"intermediate": 0.3392448127269745,
"beginner": 0.5127120614051819,
"expert": 0.1480431854724884
} |
46,942 | i have this code:
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
import joblib
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM,Dense,Dropout
import os
# %%
def build_lstm_model(input_shape):
model = S... | 4df8cd4eadf61a9414ee8aee80b0191b | {
"intermediate": 0.4299044609069824,
"beginner": 0.27848970890045166,
"expert": 0.29160580039024353
} |
46,943 | I have this bar plot:
df = pd.read_csv('results//experiments//wahlomat//responses-mixtral-base-10-iterations-wahlomat.csv')
#result_df = pd.DataFrame(index=range(0, 62), columns=range(1, 5), dtype=float) # FOR PCT
result_df = pd.DataFrame(index=range(0, 38), columns=range(1, 3), dtype=float)
# Loop through each state... | 0da409d6a31ba11392361814737121bc | {
"intermediate": 0.4138515293598175,
"beginner": 0.3132297098636627,
"expert": 0.2729187607765198
} |
46,944 | How to get a list of catalog item names from the 'sc_cat_item' table where the 'Available for' related tab has no records. servicenow | f10bf3942c86c70ebfb7086ef15e32f3 | {
"intermediate": 0.40315353870391846,
"beginner": 0.26453760266304016,
"expert": 0.33230888843536377
} |
46,945 | Give me codes for Your supervisor is interested to identify certain factors that may be helpful to explain your Portfolio return. Henceforth, you need to identify certain factors that might influence your chosen Portfolio's and comment on the explainability of the chosen factors.
Note: Kindly mention the data source f... | 5498f896671a8276f65faa2d8cb7a7d3 | {
"intermediate": 0.49770665168762207,
"beginner": 0.24995926022529602,
"expert": 0.2523341476917267
} |
46,946 | How do I convert date and time to milliseconds in excel? I need to convert valid from and valid to in order to bulkload certificates in ServiceNow. | ed0798b4e0baa1fea1ee7bc2c5833343 | {
"intermediate": 0.6551218032836914,
"beginner": 0.14784717559814453,
"expert": 0.19703108072280884
} |
46,947 | i have following code to train a LSTM model on my dataset which is multiple csv files
the code dosent work and model not built
please fix it for proper implementation:
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
import joblib
from tensorflo... | ca876d32eeef13b67cfffbb6e8e36157 | {
"intermediate": 0.4906083047389984,
"beginner": 0.2172342836856842,
"expert": 0.2921574115753174
} |
46,948 | Упрости код но сохранив функционал и возможности, фичи: import requests
import time
from faker import Faker
import random
import string
# Функция для чтения списка прокси из файла
def read_proxies(file_path):
with open(file_path, 'r') as f:
proxies = [line.strip() for line in f.readlines()]
return prox... | 185bf09a12aa6e02a27ca70a8657fd47 | {
"intermediate": 0.2554372251033783,
"beginner": 0.511662483215332,
"expert": 0.2329002171754837
} |
46,949 | WARNING:tensorflow:Layer lstm_49 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.
WARNING:tensorflow:Layer lstm_50 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on G... | ff6a66ebf33ee06c395d499f6e517e0a | {
"intermediate": 0.20388653874397278,
"beginner": 0.16870898008346558,
"expert": 0.6274044513702393
} |
46,950 | write a linux x86_64 assembly language program to add two integer numbers and print the result in decimal format at stdout. | 6f1db4dfde74ff5665663b72c3f4fcbe | {
"intermediate": 0.28464576601982117,
"beginner": 0.4168347716331482,
"expert": 0.29851943254470825
} |
46,951 | I have four answer options: "Strongly disagree", "disagree", "agree" and "strongly agree". I want to compare the answer frequencies in a plot where each option has a bar in a color. What are the best colors to distinguish between the values and which are good for the eye as well? | e8c33460da014718d03d477e72108c98 | {
"intermediate": 0.3886122703552246,
"beginner": 0.29394373297691345,
"expert": 0.3174440562725067
} |
46,952 | Give me codes for Your supervisor is interested to identify certain factors that may be helpful to explain your Portfolio return. Henceforth, you need to identify certain factors that might influence your chosen Portfolio’s and comment on the explainability of the chosen factors.
Note: Kindly mention the data source f... | 8f6e23e38002bf369bab1c6005bded4f | {
"intermediate": 0.5034921169281006,
"beginner": 0.21350209414958954,
"expert": 0.2830057442188263
} |
46,953 | code:
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
import joblib
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM,Dense,Dropout
import os
# %%
def build_lstm_model(input_shape):
model = Sequential([
... | 1cd5c594c38145f12fb282c5f7c44e08 | {
"intermediate": 0.37397950887680054,
"beginner": 0.29793235659599304,
"expert": 0.3280881941318512
} |
46,954 | error: Error: Unable to resolve module missing-asset-registry-path from /Users/mac/Desktop/poker/node_modules/react-native/Libraries/LogBox/UI/LogBoxImages/close.png: missing-asset-registry-path could not be found within the project or in these directories:
node_modules/react-native/node_modules
node_modules
> 1 | ... | f5d8132464816267041f2e37bea7a40f | {
"intermediate": 0.4846022129058838,
"beginner": 0.2952662408351898,
"expert": 0.220131516456604
} |
46,955 | // <!--GAMFC-->version base on commit 841ed4e9ff121dde0ed6a56ae800c2e6c4f66056, time is 2024-04-16 18:02:37 UTC<!--GAMFC-END-->.
// @ts-ignore
import { connect } from 'cloudflare:sockets';
// How to generate your own UUID:
// [Windows] Press "Win + R", input cmd and run: Powershell -NoExit -Command "[guid]::NewGuid()... | 9683ddfce391fc4a41f1a2d66b459f42 | {
"intermediate": 0.3981058597564697,
"beginner": 0.45182180404663086,
"expert": 0.1500723510980606
} |
46,956 | If f(z)=11z2–40z+21, use synthetic division to find f(4). | 59c9f1fd86276035004a14911b3a627c | {
"intermediate": 0.3291982114315033,
"beginner": 0.35603368282318115,
"expert": 0.3147681653499603
} |
46,957 | can you give me a python program to save description into text file like
Happiness Begins
Jonas Brothers · 2019
“We went into every session hoping to bottle up happiness and bring it to the world,” Joe Jonas tells Apple Music of the first album he's made with his brothers Nick and Kevin in a decade. “We didn't know th... | 0d4fdb965527900d8d7b19924fae8206 | {
"intermediate": 0.30853983759880066,
"beginner": 0.3976399302482605,
"expert": 0.29382026195526123
} |
46,958 | can you give me a python program to save description into text file like
Sample info:
Happiness Begins
Jonas Brothers · 2019
“We went into every session hoping to bottle up happiness and bring it to the world,” Joe Jonas tells Apple Music of the first album he’s made with his brothers Nick and Kevin in a decade. “We d... | f8ad20eab7c20c68119cf4591e6c97db | {
"intermediate": 0.3163120746612549,
"beginner": 0.47398731112480164,
"expert": 0.20970067381858826
} |
46,959 | Привет у меня есть скрипт для врага можешь его дописать сделая чтобы после ожидания 3 секунд он не мог активировать DisableRagdoll на протяжении 5 секунд.using System.Collections;
using UnityEngine;
public class EnemyController : MonoBehaviour
{
public float standingThreshold = 25f; // Угол, при котором враг долже... | 5488e5f06d178b6441aeeeaecc2e4883 | {
"intermediate": 0.29741209745407104,
"beginner": 0.5809001922607422,
"expert": 0.12168774008750916
} |
46,960 | write python script to save and fetch this from apple music link
14 Songs, 43 minutes
℗ 2019 Jonas Brothers Recording, Limited Liability Company, under exclusive license to Republic Records, a division of UMG Recordings, Inc.
and saveinfile
https://music.apple.com/us/album/happiness-begins/1461478261 | b8ac52267b44849d968a65f46b371933 | {
"intermediate": 0.48212146759033203,
"beginner": 0.22498326003551483,
"expert": 0.29289528727531433
} |
46,961 | Create and run a PowerShell script called UserInfo_yourinitials.ps1 for both your administrator and BackUp Administrator that places the following information in a text report called C:\Reports\FinalUserReport.txt in a table format. Ensure your script has author and creation date as well as each line is commented. **Ma... | a63cadfb1009760c525d10378438cf1c | {
"intermediate": 0.3844526708126068,
"beginner": 0.25460758805274963,
"expert": 0.3609396815299988
} |
46,962 | Create and run a PowerShell script called UserInfo_yourinitials.ps1 for both your administrator and BackUp Administrator that places the following information in a text report called C:\Reports\FinalUserReport.txt in a table format. Ensure your script has author and creation date as well as each line is commented. **Ma... | 9ba563380d7067bb03c0de5635410740 | {
"intermediate": 0.3844526708126068,
"beginner": 0.25460758805274963,
"expert": 0.3609396815299988
} |
46,963 | how to check ndk version am using on my react native project | 5911e8685b24c1577e23509a5ebb54d3 | {
"intermediate": 0.5843043923377991,
"beginner": 0.1474423110485077,
"expert": 0.2682533264160156
} |
46,964 | fix this:
---------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[6], line 44
41 plt.title(‘Block Influence Scores’)
42 plt.show()
—> 44 bi_scores = calculate_block_influence(model, input_tokens.input_ids)
45 visualize_bi_scores(bi_scores)
Attribut... | 6bafb72add44ff478274c7e4a94e3b7b | {
"intermediate": 0.4464547634124756,
"beginner": 0.2604143023490906,
"expert": 0.2931309640407562
} |
46,965 | I am making a C++ sdl based game engine, currently converting all the raw sdl pointers into smart pointers, unique_ptr. I did the renderer without problems, since renderer was a single element, I didn't had much problem doing it:
Renderer::Renderer(const Window& window, bool vsync) : renderer(nullptr, &SDL_DestroyRend... | cd8bdd90d67e098a81a7c779da3ecf1c | {
"intermediate": 0.33229586482048035,
"beginner": 0.4878343343734741,
"expert": 0.17986983060836792
} |
46,966 | write python script to save from apple music link - https://music.apple.com/us/album/happiness-begins/1461478261
14 Songs, 43 minutes
℗ 2019 Jonas Brothers Recording, Limited Liability Company, under exclusive license to Republic Records, a division of UMG Recordings, Inc.
and saveinfile | b5877f140fb4ac5e524a0d4a2b598c1a | {
"intermediate": 0.37858957052230835,
"beginner": 0.20134174823760986,
"expert": 0.42006874084472656
} |
46,967 | how to save tensorflow trained model | 9ed3823ef1c7c904feb5cf07199b6353 | {
"intermediate": 0.07686135917901993,
"beginner": 0.08684228360652924,
"expert": 0.8362963795661926
} |
46,968 | can you get total duration only from this link
https://music.apple.com/us/album/happiness-begins/1461478261
ex: 43 minutes | aa78355c0e9b6b4b02cff8442f8f2cff | {
"intermediate": 0.3339478075504303,
"beginner": 0.23856514692306519,
"expert": 0.42748701572418213
} |
46,969 | {
"name": "KeyError",
"message": "29",
"stack": "---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
Cell In[26], line 7
3 train_generator = data_generator_lstm(x_scaler_loaded, y_scaler_loaded, 30)
5 # Up... | 15befdee3952119f767b74c0ac94cc4c | {
"intermediate": 0.32384395599365234,
"beginner": 0.4263617694377899,
"expert": 0.24979433417320251
} |
46,970 | c# EventArgs in 2024 | ab301e77e46bf6b7e4ea54785b72649c | {
"intermediate": 0.37530502676963806,
"beginner": 0.37166261672973633,
"expert": 0.253032386302948
} |
46,971 | code:
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
import joblib
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM,Dense,Dropout
import os
# %%
csv_directory = r"C:\Users\arisa\Desktop\day_spot_summary"
c... | 6d9237ed670516d284010139662fa875 | {
"intermediate": 0.43782955408096313,
"beginner": 0.25921034812927246,
"expert": 0.3029601573944092
} |
46,972 | Western Governors University July 2023
Computer Science (Bachelor’s of Science)
St. John’s University- Queens, NY August 2020 - December 2023
Biochemistry (Bachelor’s of Science)
University Honor Society, Certificate of Achievement, Silver Key Nominee, Provost Scholarship
... | 9008723aaaa7cf2c29ccfb92a5e8ad9f | {
"intermediate": 0.3835996389389038,
"beginner": 0.31753847002983093,
"expert": 0.29886189103126526
} |
46,973 | I am trying to come up with a new template for our rules engine. A template is just a combination of inputs and outputs, for example, based on input given, what is the output, a combination of these is a template.
Now, I want to integrate multi-tiered approval/decline functionality on our platform which is used for lo... | 377a2905a6bd09ef1f05be1a9a775491 | {
"intermediate": 0.41464149951934814,
"beginner": 0.3067227005958557,
"expert": 0.2786358594894409
} |
46,974 | {
"name": "InvalidArgumentError",
"message": "Graph execution error:
Detected at node 'mean_squared_error/SquaredDifference' defined at (most recent call last):
File \"c:\\Users\\arisa\\.conda\\envs\\tf\\lib\\runpy.py\", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File \... | 7af046a0dbc770cfbebbfa352858e50b | {
"intermediate": 0.281398206949234,
"beginner": 0.34826910495758057,
"expert": 0.3703327178955078
} |
46,975 | You have to regress your Portfolio Return on your chosen factors..........Can you explain this in simple words and in short way | 8d1527c2f78b6eed44b57decd070b56b | {
"intermediate": 0.4094725549221039,
"beginner": 0.2301979959011078,
"expert": 0.36032941937446594
} |
46,976 | Write code "py" to run a GUI that displays a 2D plan view, it is interactive, meaning we can pinch, zoom, and move around using mouse clicks, in the side of the window, there are all the necessary buttons to add and name a new vector and defining its coordinates, the program has a section on the left to display all the... | 0c464dfc4ce1781cb689edeb3b8d9f67 | {
"intermediate": 0.4047987759113312,
"beginner": 0.24628163874149323,
"expert": 0.3489196002483368
} |
46,977 | To modify all rows in a workbook simultaneously:
Select the View tab, then click Modify All Cells
Click the Select All button, then click and drag the mouse to change a row’s height
Modify one row, then copy that row into subsequent rows
Right-click a row, then select Row Height and enter the desired height in pixels ... | 9a16d14f3ea4b05963001d37e8e40f94 | {
"intermediate": 0.5308599472045898,
"beginner": 0.18146571516990662,
"expert": 0.2876743972301483
} |
46,978 | What is the size of zoo after running the code?
ArrayList<Animal> 200 = new ArrayList<Animal> () ;
zoo. add (new Animal ()) :
zoo. remove (0) ;
zoo. add (new Animal ()) ;
Animal a = new Animal () ;
200. add (1, a) ;
zoo. add (new Animal ()) ;
zoo. remove (0) :
zoo. add (new Animal ()) ; zoo. remove (2) ; zoo. remove (1... | ca8e60fc5dbd9ac7cb686b95fa3bdb33 | {
"intermediate": 0.3998759686946869,
"beginner": 0.33438292145729065,
"expert": 0.26574110984802246
} |
46,979 | {r}
adjusted_date_data <- date_data[-1,]
# Combining adjusted date information with log returns
combined_data <- cbind(adjusted_date_data, log_returns)
combined_data_df <- as.data.frame(combined_data)
library(dplyr)
# For Strategy 1
strategy1_selection <- combined_data_df %>%
select(Date, T... | d4cc316d613da810834f8c43077164e0 | {
"intermediate": 0.4751572906970978,
"beginner": 0.2942233383655548,
"expert": 0.23061944544315338
} |
46,980 | Text:LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.[2]
Hi... | be0cfb1a98aff1912920ce3c73a70f80 | {
"intermediate": 0.5742245316505432,
"beginner": 0.21459771692752838,
"expert": 0.21117772161960602
} |
46,981 | Hi, I'm making a web applet in ClojureScript.
Here's the code I'm working with:
(defn create-job-description
([job-reference client-name]
(str job-reference
" - "
(or client-name
"Customer (N/A)")))
([job-reference job-title client-name]
(str job-reference
" "
(or... | 4828e5968efe6847c80fcdb64ece6a42 | {
"intermediate": 0.45012715458869934,
"beginner": 0.372898668050766,
"expert": 0.17697417736053467
} |
46,982 | Chrome Extension with Selenium & Python
write a script | f824f3494b73fa7003564e916aa09637 | {
"intermediate": 0.5242334008216858,
"beginner": 0.3110848069190979,
"expert": 0.1646818369626999
} |
46,983 | think step by step on if this script is complete and if yes how to make this script robust and well refactored and scalable , here is the script "# Import necessary modules and classes
import logging
from langchain.agents import Tool, AgentExecutor, LLMSingleActionAgent, AgentOutputParser
from langchain.prompts import ... | 9f12832d29096215c82d67155a0c769d | {
"intermediate": 0.3746064007282257,
"beginner": 0.4623333215713501,
"expert": 0.1630602478981018
} |
46,984 | WebGL and canvas fingerprints are the same? | 955858770fb6ffd6040ff4979a88d8d2 | {
"intermediate": 0.44958654046058655,
"beginner": 0.2955774664878845,
"expert": 0.25483596324920654
} |
46,985 | c# pattern matchig, how to extract currency name if string is balance_currency | 1846a8fc6739af9e66cea79c9a45d67a | {
"intermediate": 0.4145084321498871,
"beginner": 0.22753334045410156,
"expert": 0.35795828700065613
} |
46,986 | can you make this code readable?
!function(t){var e={};function r(n){if(e[n])return e[n].exports;var o=e[n]={i:n,l:!1,exports:{}};return t[n].call(o.exports,o,o.exports,r),o.l=!0,o.exports}r.m=t,r.c=e,r.d=function(t,e,n){r.o(t,e)||Object.defineProperty(t,e,{enumerable:!0,get:n})},r.r=function(t){"undefined"!=typeof S... | f1ce6ce77f48028ad87fefe7bfb13e70 | {
"intermediate": 0.481038361787796,
"beginner": 0.4236258566379547,
"expert": 0.09533575922250748
} |
46,987 | i have an extention and i want for certian buttons to be clicked by default. how to do with source code of said extention? | 5722082d4b73a29f06193d49fe68e7f5 | {
"intermediate": 0.3859027326107025,
"beginner": 0.21120582520961761,
"expert": 0.4028914272785187
} |
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