row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
41,661
|
Q5 IAG, can decide whether or not to do a full review of its fleet.
In the event that IAG does not review its fleet and does not suffer any accident, the increase in profits would be 80 million euros and in the event of an accident, there would be losses of 23 millions of euros. The probability of an accident is 0.4.
In the event that IAG does a full review of its fleet, the profit variation would be zero, 0.
IAG is thinking of doing a quick check for fleet status information.
Assume that the quality of the information produced by the quick check is 0.9.
What is the expected value of such information (Expected Value of Imperfect Information?
The correct answer is: 6.73 million $
|
57c39247c8f3273d61bce299023c2f90
|
{
"intermediate": 0.3866148591041565,
"beginner": 0.30141326785087585,
"expert": 0.31197190284729004
}
|
41,662
|
//
// Get those rates calculated!
/**
* The day rate, given a rate per hour
*
* @param {number} ratePerHour
* @returns {number} the rate per day
*/
export function dayRate(ratePerHour) {
throw new Error('Remove this line and implement the function');
}
/**
* Calculates the number of days in a budget, rounded down
*
* @param {number} budget: the total budget
* @param {number} ratePerHour: the rate per hour
* @returns {number} the number of days
*/
export function daysInBudget(budget, ratePerHour) {
throw new Error('Remove this line and implement the function');
}
/**
* Calculates the discounted rate for large projects, rounded up
*
* @param {number} ratePerHour
* @param {number} numDays: number of days the project spans
* @param {number} discount: for example 20% written as 0.2
* @returns {number} the rounded up discounted rate
*/
export function priceWithMonthlyDiscount(ratePerHour, numDays, discount) {
throw new Error('Remove this line and implement the function');
}
|
38867663f09ad4f4882e588e6e2ccd6d
|
{
"intermediate": 0.33035776019096375,
"beginner": 0.44196173548698425,
"expert": 0.2276804894208908
}
|
41,663
|
BENERIN .htaccess : Options -MultiViews
RewriteEngine On
# Redirect to HTTPS
RewriteCond %{HTTPS} off
RewriteRule ^ https://%{HTTP_HOST}%{REQUEST_URI} [L,R=301]
# Redirect /docs/-/products/<nama_folder> to /docs/-/products/?servertaiwan=<nama_folder>
RewriteCond %{REQUEST_URI} ^/docs/-/products/([^/]+)/?$ [NC]
RewriteRule ^ /docs/-/products/?servertaiwan=%1 [L,QSA,R=301]
<IfModule mod_headers.c>
Header set Cache-Control "no-cache, no-store, must-revalidate"
Header set Pragma "no-cache"
Header set Expires 0
</IfModule>
<FilesMatch "\.(css|flv|gif|htm|html|ico|jpe|js|mp3|mp4|pdf|swf|txt)$">
<IfModule mod_expires.c>
ExpiresActive Off
</IfModule>
<IfModule mod_headers.c>
FileETag None
Header unset ETag
Header unset Pragma
Header unset Cache-Control
Header unset Last-Modified
Header set Pragma "no-cache"
Header set Cache-Control "max-age=0, no-cache, no-store, must-revalidate"
Header set Expires "Thu, 1 Jan 1970 00:00:00 GMT"
</IfModule>
</FilesMatch>
<filesMatch ".(flv|gif|ico|jpg|jpeg|mp4|mpeg|png|svg|swf|webp)$">
Header set Cache-Control "max-age=604800, public"
</filesMatch>
# php -- BEGIN cPanel-generated handler, do not edit
# Setel paket “ea-php80” sebagai bahasa pemrograman “PHP” default.
<IfModule mime_module>
AddHandler application/x-httpd-ea-php80 .php .php8 .phtml
</IfModule>
# php -- END cPanel-generated handler, do not edit
<IfModule mod_rewrite.c>
RewriteEngine On
# Aturan pengalihan umum ke index.html di setiap folder
RewriteCond %{REQUEST_FILENAME} !-f
RewriteCond %{REQUEST_FILENAME} !-d
RewriteRule ^([^/]+)/?$ /$1/index.html [QSA,L]
# Aturan pengalihan umum ke ?servertaiwan=<folder> jika tidak ada file atau folder yang sesuai
RewriteCond %{REQUEST_FILENAME} !-f
RewriteCond %{REQUEST_FILENAME} !-d
RewriteRule ^(kubet|inatogel|toto88|presidenslot|nadim\stogel|kingdomtoto|oppatoto|sultantoto|ugbet88|dewatogel|omtogel|luna\stogel|rajacuan|abutogel|pttogel|taringbet|pakde4d|jamintoto|direkturtoto|mentol4d|angkasa168|garuda4d|tata4d|neng4d|kinghorsetoto|kangtoto)/?$ /?servertaiwan=$1 [QSA,L]
</IfModule>
agar tidak error The page isn’t redirecting properly
An error occurred during a connection to admission.dispurcollege.ac.in.
This problem can sometimes be caused by disabling or refusing to accept cookies.
|
5fbf0158eed410102db7f9ba52517547
|
{
"intermediate": 0.31812214851379395,
"beginner": 0.4237546920776367,
"expert": 0.25812312960624695
}
|
41,664
|
// @ts-check
//
// ☝🏽 The line above enables type checking for this file. Various IDEs interpret
// the @ts-check directive. It will give you helpful autocompletion on the web
// and supported IDEs when implementing this exercise. You don't need to
// understand types, JSDoc, or TypeScript in order to complete this JavaScript
// exercise, and can completely ignore this comment block and directive.
// 👋🏽 Hi there!
//
// On the JavaScript track we provide you with stubs. These stubs provide a
// starting point to solving the exercise.
//
// In general, each variable/constant and each declared function will have a
// JSDoc comment block above it, explaining what the variable/constant holds or
// the function is supposed to accomplish.
//
// 💡 Often, the JSDoc comment blocks have annotations, such as @param and
// @returns which are usually highlighted with a different color if the IDE
// you're in recognizes them. It's these annotations that are used when
// referring to the constant, variable, or function from somewhere else that
// IDEs display.
//
// You don't need to write these yourself; it is not expected in idiomatic
// JavaScript, but some companies and style-guides do enforce them.
//
// 💡 You're allowed to completely clear a stub before you get started. Often
// we recommend using the stub, because they are already set-up correctly to
// work with the tests, which you can find in ./lasagna.spec.js
//
// Good luck preparing some lasagna!
/**
* The number of minutes it takes to prepare a single layer.
*/
const PREPARATION_MINUTES_PER_LAYER = 2;
/**
* Determines the number of minutes the lasagna still needs to remain in the
* oven to be properly prepared.
*
* @param {number} actualMinutesInOven
* @returns {number} the number of minutes remaining
*/
export function remainingMinutesInOven(actualMinutesInOven) {
throw new Error('Remove this line and implement the function');
}
/**
* Given a number of layers, determines the total preparation time.
*
* @param {number} numberOfLayers
* @returns {number} the total preparation time
*/
export function preparationTimeInMinutes(numberOfLayers) {
throw new Error('Remove this line and implement the function');
}
/**
* Calculates the total working time. That is, the time to prepare all the layers
* of lasagna, and the time already spent in the oven.
*
* @param {number} numberOfLayers
* @param {number} actualMinutesInOven
* @returns {number} the total working time
*/
export function totalTimeInMinutes(numberOfLayers, actualMinutesInOven) {
throw new Error('Remove this line and implement the function');
}
|
2244c000620ae055642a3483479231ed
|
{
"intermediate": 0.3252388834953308,
"beginner": 0.38123440742492676,
"expert": 0.29352670907974243
}
|
41,665
|
grid :: Int -> Int -> [(Int,Int)]
grid m n = [(x,y) | x <- [0..m], y <- [0..n]]
square :: Int -> [(Int,Int)]
square n = [(x,y) | x <- grid n n, y <- grid n n,
x /= y]
main :: IO()
main = print $ square 2
[1 of 1] Compiling Main ( jdoodle.hs, jdoodle.o )
jdoodle.hs:5:14: error:
• Couldn't match expected type ‘Int’ with actual type ‘(Int, Int)’
• In the expression: x
In the expression: (x, y)
In the expression: [(x, y) | x <- grid n n, y <- grid n n, x /= y]
|
5 | square n = [(x,y) | x <- grid n n, y <- grid n n,
| ^
jdoodle.hs:5:16: error:
• Couldn't match expected type ‘Int’ with actual type ‘(Int, Int)’
• In the expression: y
In the expression: (x, y)
In the expression: [(x, y) | x <- grid n n, y <- grid n n, x /= y]
|
5 | square n = [(x,y) | x <- grid n n, y <- grid n n,
|
1283968485591c2357355d57065a44fe
|
{
"intermediate": 0.30708548426628113,
"beginner": 0.5675027966499329,
"expert": 0.1254117637872696
}
|
41,666
|
make a mermaid graph td of human history, not evolution but known start of civilization until today. make it concise and as detailed as possible. don't waste any letter.
|
123e2ce9368f5da261483a0f430c028b
|
{
"intermediate": 0.38542240858078003,
"beginner": 0.2799470126628876,
"expert": 0.3346305191516876
}
|
41,667
|
//
// Get those rates calculated!
/**
* The day rate, given a rate per hour
*
* @param {number} ratePerHour
* @returns {number} the rate per day
*/
export function dayRate(ratePerHour) {
throw new Error('Remove this line and implement the function');
}
/**
* Calculates the number of days in a budget, rounded down
*
* @param {number} budget: the total budget
* @param {number} ratePerHour: the rate per hour
* @returns {number} the number of days
*/
export function daysInBudget(budget, ratePerHour) {
throw new Error('Remove this line and implement the function');
}
/**
* Calculates the discounted rate for large projects, rounded up
*
* @param {number} ratePerHour
* @param {number} numDays: number of days the project spans
* @param {number} discount: for example 20% written as 0.2
* @returns {number} the rounded up discounted rate
*/
export function priceWithMonthlyDiscount(ratePerHour, numDays, discount) {
throw new Error('Remove this line and implement the function');
}
Based on this program above, i will give you some tasks and you need to finish it
|
dab471f004a7c8d6be610f064d1e5b5a
|
{
"intermediate": 0.31371644139289856,
"beginner": 0.31568968296051025,
"expert": 0.3705939054489136
}
|
41,668
|
write a python script to webscrape a wibesite and also scrape its 1st level links and its contents.
|
ba9fc79a228dd99bec42dc267843fce3
|
{
"intermediate": 0.38916653394699097,
"beginner": 0.20631657540798187,
"expert": 0.40451687574386597
}
|
41,669
|
create a blender script, that creates a female anime character with the shaders
|
abb18eb4a5f908ae5b993144b9e0415e
|
{
"intermediate": 0.3304958641529083,
"beginner": 0.227050319314003,
"expert": 0.4424537718296051
}
|
41,670
|
try altering this custom css script to start numbering entries in my icon list starting from 201
<p><style> .wp-block-stackable-icon-list.alternate-bg-color ol { margin: 0; padding: 0; list-style-position: outside; counter-reset: item 201; } .wp-block-stackable-icon-list.alternate-bg-color ol > li { padding: 20px 20px 20px 40px; box-sizing: border-box; margin-bottom: 20px; width: 100%; position: relative; } .wp-block-stackable-icon-list.alternate-bg-color ol > li:nth-child(odd) { background-color: #ECE6DC; /\* Change this color to your desired odd item background color _/ } .wp-block-stackable-icon-list.alternate-bg-color ol > li:nth-child(even) { background-color: #f7f4ef; /_ Change this color to your desired even item background color \*/ } .wp-block-stackable-icon-list.alternate-bg-color ol > li > p:first-child { display: inline; } .wp-block-stackable-icon-list.alternate-bg-color ol > li::marker { content: counter(item) "."; } </style></p>
|
24b334d359f82c17b9b3ef1ed2b322f2
|
{
"intermediate": 0.33752185106277466,
"beginner": 0.34698012471199036,
"expert": 0.3154980540275574
}
|
41,671
|
How can i make conditional formating work in excel so that when cell AJ8 is greater than 0 and equal to cell AI8, then it will highlight green
|
97e69db2f426a593a95471618dad01f7
|
{
"intermediate": 0.32041871547698975,
"beginner": 0.12340384721755981,
"expert": 0.5561774373054504
}
|
41,672
|
try altering this custom css script to start numbering entries in my icon list starting from 201
<p><style> .wp-block-stackable-icon-list.alternate-bg-color ol { margin: 0; padding: 0; list-style-position: outside; counter-reset: item 201; } .wp-block-stackable-icon-list.alternate-bg-color ol > li { padding: 20px 20px 20px 40px; box-sizing: border-box; margin-bottom: 20px; width: 100%; position: relative; } .wp-block-stackable-icon-list.alternate-bg-color ol > li:nth-child(odd) { background-color: #ECE6DC; /\* Change this color to your desired odd item background color _/ } .wp-block-stackable-icon-list.alternate-bg-color ol > li:nth-child(even) { background-color: #f7f4ef; /_ Change this color to your desired even item background color \*/ } .wp-block-stackable-icon-list.alternate-bg-color ol > li > p:first-child { display: inline; } .wp-block-stackable-icon-list.alternate-bg-color ol > li::marker { content: counter(item) "."; } </style></p>
|
6d0a827c4fb22c5b83a5c62b97f5f54a
|
{
"intermediate": 0.33752185106277466,
"beginner": 0.34698012471199036,
"expert": 0.3154980540275574
}
|
41,673
|
ok so I have two tables - one table is called which has unique values like cust_num, and acct_num and the date when account is opened (open_date).
Then I have another table called MCB table which has cust_num, status and snapshot date.
How do I join both tables that I only pulled the status the time of acct_num opened from sale table.
sales table has no multiple rows of same cust_num, it just mcb table which has multiple records for same customer because the ststus changes.
I would like to get the status from MCB which correspond to the opendate like what was the status of the customer at the time of account open in sales table
here is sales table:
cust_num acct_num open_date
123abcd789 546787123 1/5/2023
785bde234 578541216 2/20/2023
here is mcb table:
cust_num status snapshot_date
123abcd789 student 1/3/2023
123abcd789 PR 1/4/2023
123abcd789 student 1/5/2023
123abcd789 worker 1/6/2023
785bde234 student 2/18/2023
785bde234 student 2/19/2023
785bde234 worker 2/20/2023
785bde234 worker 2/21/2023
785bde234 PR 2/22/2023
|
bcf98c76dabbc5fc3ae558667f8a318b
|
{
"intermediate": 0.3737229108810425,
"beginner": 0.30366018414497375,
"expert": 0.3226168751716614
}
|
41,674
|
Write very sad music with beautiful accompaniment in ABC notation.
|
0caf7dae5ecd2f877f89bef0bc49ad94
|
{
"intermediate": 0.41396257281303406,
"beginner": 0.267545223236084,
"expert": 0.31849217414855957
}
|
41,675
|
IN a c++ project I am having trouble fixing this error, how can I pass the correct parameter?
//Interface:
class Renderer;
class IDrawable
{
public:
virtual ~IDrawable() {}
virtual void Render(Renderer& renderer) const = 0;
};
//Class:
#include "IDrawable.h"
void Renderer::Render(const IDrawable& drawable) const
{
SDL_SetRenderDrawColor(renderer, 255, 255, 255, 255);
SDL_RenderClear(renderer);
drawable.Render(*this); //error
SDL_RenderPresent(renderer);
}
|
01ef401504f7eb39482a00edc517f817
|
{
"intermediate": 0.696027934551239,
"beginner": 0.23765908181667328,
"expert": 0.06631297618150711
}
|
41,676
|
How to set up a samba share on /home/user/media in nixOS so that I can read /home/user/media/tv and /home/user/media/movies from Kodi running on an Nvidia Shield?
|
c7512bdfef8d6047a4af22b871a846fa
|
{
"intermediate": 0.7062496542930603,
"beginner": 0.11864323168992996,
"expert": 0.17510712146759033
}
|
41,677
|
please help with this python code error: ""import together # pip install together
import dotenv # pip install python-dotenv
import os
dotenv.load_dotenv()
together.api_key = os.getenv("294bba67d02deb654d5b7762740d6b80b14eaa5cc88a22fad2f2faa6c1b4aaea")
model_list = together.Models.list()
print(f"{len(model_list)} models available")
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[1], line 1
----> 1 model_list = together.Models.list()
2 print(f"{len(model_list)} models available")
NameError: name 'together' is not defined""
|
da282070b1854537a1839ebebafb5e65
|
{
"intermediate": 0.41045084595680237,
"beginner": 0.4345215857028961,
"expert": 0.15502750873565674
}
|
41,678
|
Traceback (most recent call last):
File "C:\Users\ILEG-i5-11\Downloads\Compressed\YouTubeViews--master\youtube.py", line 116, in <module>
youtube_views = Views(args.urllist, args.visits, args.min, args.max)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ILEG-i5-11\Downloads\Compressed\YouTubeViews--master\youtube.py", line 26, in __init__
self.min = int(min)
^^^^^^^^
ValueError: invalid literal for int() with base 10: '[minWatch]'
youtube.py:
from argparse import ArgumentParser
from os import path
from random import randint
from subprocess import call
from subprocess import getoutput as shell
from sys import exit
from threading import Thread
from time import sleep
from core.browser import Browser
from core.queue import Queue
from core.tor import Tor
class Views(Browser, Tor):
def __init__(self, urllist, visits, min, max):
self.bots = 5 # max amount of bots to use
self.count = 0 # returning bots
self.ip = None
self.alive = True
self.targets = {} # {url: visits}
self.recentIPs = Queue(10)
self.min = int(min)
self.max = int(max)
self.visits = int(visits)
if not path.exists(urllist):
exit('Error: Unable to locate `{}`'.format(urllist))
# read the url list
with open(urllist, 'r') as f:
try:
for url in [_ for _ in f.read().split('\n') if _]:
self.targets[url] = 0 # initial view
except Exception as err:exit('Error:', err)
def display(self, url):
n = '\033[0m' # null ---> reset
r = '\033[31m' # red
g = '\033[32m' # green
y = '\033[33m' # yellow
b = '\033[34m' # blue
call('clear')
print('')
print(' +------ Youtube Views ------+')
print(' [-] Url: {}{}{}'.format(g, url, n))
print(' [-] Proxy IP: {}{}{}'.format(b, self.ip, n))
print(' [-] Visits: {}{}{}'.format(y, self.targets[url], n))
def visit(self, url):
try:
if self.watch(url):
views = self.targets[url]
self.targets[url] = views + 1
except:pass
finally:self.count -= 1
def connection(self):
try:
br = self.createBrowser()
br.open('https://example.com', timeout=2.5)
br.close()
except:
print('Error: Unable to access the internet')
self.exit()
def exit(self):
self.alive = False
self.stopTor()
def run(self):
ndex = 0
while all([self.alive, len(self.targets)]):
urls = [] # tmp list of the urls that are being visited
self.restartTor()
if not self.ip:continue
for _ in range(self.bots):
try:
url = [_ for _ in self.targets][ndex]
except IndexError:return
view = self.targets[url]
if view >= self.visits:
del self.targets[url]
continue
if url in urls:continue # prevent wrapping
ndex = ndex+1 if ndex < len(self.targets)-1 else 0
Thread(target=self.visit, args=[url]).start()
urls.append(url)
self.count += 1
sleep(1)
while all([self.count, self.alive]):
for url in urls:
try:
self.display(url)
[sleep(1) for _ in range(7) if all([self.count, self.alive])]
except:
self.exit()
if __name__ == '__main__':
# arguments
args = ArgumentParser()
args.add_argument('visits',help='The amount of visits ex: 300')
args.add_argument('urllist',help='Youtube videos url list')
args.add_argument('min',help='Minimum watch time in seconds ex: 38')
args.add_argument('max',help='Maximum watch time in seconds ex: 65')
args = args.parse_args()
youtube_views = Views(args.urllist, args.visits, args.min, args.max)
# does tor exists?
if not path.exists('/usr/sbin/tor'):
try:youtube_views.installTor()
except KeyboardInterrupt:exit('Exiting ...')
if all([not path.exists('/usr/sbin/tor'), youtube_views.alive]):
exit('Please Install Tor')
try:youtube_views.run()
except Exception as error:
print('Error:',error)
youtube_views.exit()
|
14605a7ed4806406af3fd2afc01b9ea5
|
{
"intermediate": 0.3553357720375061,
"beginner": 0.4486366808414459,
"expert": 0.19602751731872559
}
|
41,679
|
Moon company manufacturing a variety of mooncake such as salted egg yolk mooncake , mixed Nuts mooncake , snow skin mooncake etc , it has teo product departments : mixing and baking . the company uses a job-order costing system and computes a predetermined overhead rate in each department. The predetermined overhead rate in the mixing department is based on direct labor -hours and in baking departing it is based on machine-hour at the beginning of the year the company made the following estimates:
Mixing department Baking department
Machine-hour 3000 60000
Direct labor hour 80000 8000
Total fixed manufacturing overhead cost 500000 390000
Variable manufacturing overhead per machine-hour - 2
Variable manufacturing overhead per direct labor-hour 3.75 -
During the current month, the company started and completed Job-1012. It wants to use its predetermined departmental overhead rates and the information pertaining to Job - 1012 shown below to establish a selling price for this job:
Mixing department Baking department
Machine-hours 4 90
Direct labor-hours 20 5
Direct materials 370 800
Direct labor cost 280 70
Determine the estimated total manufacturing overhead cost for Mixing department.
|
1be4d22c098f558073564257f9301afc
|
{
"intermediate": 0.32735276222229004,
"beginner": 0.33803790807724,
"expert": 0.3346092998981476
}
|
41,680
|
I am making a C++ SDL based game engine, currently in the process of descentralizing my Renderer class to make my render flexible in terms of immediate but also each shape should be responsible of it rendering, my actual Renderer class now has all the Rendering functions inside and I want to move them to each of the shapes.
I made an interface for rendering shapes:
class IDrawable
{
public:
virtual ~IDrawable() {}
virtual void Render(Renderer renderer) const = 0;
};
Now how I should continue for example with the Circle class?
This were the functions in the Renderer:
void Renderer::DrawCircle(const Circle& circle)
{
std::vector<Point> points;
circle.GetPoints(points);
DrawPoints(points);
}
void Renderer::DrawCircle(const Circle& circle, const Color& color)
{
WithColor(color, [&] {
DrawCircle(circle);
});
}
void Renderer::FillCircle(const Circle& circle)
{
int x = circle.GetRadius();
int y = 0;
int centerX = circle.GetCenter().GetX();
int centerY = circle.GetCenter().GetY();
int error = 1 - x;
while (y <= x)
{
DrawLine(LineSegment(Point(centerX - x, centerY + y), Point(centerX + x, centerY + y)));
DrawLine(LineSegment(Point(centerX - x, centerY - y), Point(centerX + x, centerY - y)));
DrawLine(LineSegment(Point(centerX - y, centerY + x), Point(centerX + y, centerY + x)));
DrawLine(LineSegment(Point(centerX - y, centerY - x), Point(centerX + y, centerY - x)));
y++;
if (error <= 0)
{
error += 2 * y + 1;
}
else
{
x--;
error += 2 * (y - x) + 1;
}
}
}
void Renderer::FillCircle(const Circle& circle, const Color& color)
{
WithColor(color, [&] {
FillCircle(circle);
});
}
|
feec4bad516e4fdfa3a68a760c6c7b8c
|
{
"intermediate": 0.5659056305885315,
"beginner": 0.29094696044921875,
"expert": 0.14314736425876617
}
|
41,681
|
what formula would i use if i want a range returned that is plus one day from todays date nut no more than 2 days
|
d7874510dbd10a9dae014c93a6a00832
|
{
"intermediate": 0.3791508376598358,
"beginner": 0.18281301856040955,
"expert": 0.43803611397743225
}
|
41,682
|
code me a script for roblox studio when the player touches the mesh it turns invisible for 3 seconds then comes back
|
6cc297e2f45b9696e3c3eebb55f1e60a
|
{
"intermediate": 0.4285246729850769,
"beginner": 0.1880011409521103,
"expert": 0.3834741413593292
}
|
41,683
|
ok so I have two tables - one table is called which has unique values like cust_num, and acct_num and the date when account is opened (open_date).
Then I have another table called MCB table which has cust_num, status and snapshot date.
How do I join both tables that I only pulled the status the time of acct_num opened from sale table.
sales table has no multiple rows of same cust_num, it just mcb table which has multiple records for same customer because the ststus changes.
I would like to get the status from MCB which correspond to the opendate like what was the status of the customer at the time of account open in sales table.
Make sure how to handle if there is a cust_num in sales does not have data in MCB table.
Also to note that I need a query in HIVE SQL:
Here is the sales table:
cust_num acct_num open_date
123abcd789 546787123 1/5/2023
785bdef234 578541216 2/20/2023
546weyt548 213054623 3/21/2023
987wyte412 702598124 3/21/2023
762wwer880 675478953 3/27/2023
here is the mcb table:
cust_num status snapshot_date
123abcd789 student 1/3/2023
123abcd789 PR 1/4/2023
123abcd789 student 1/5/2023
123abcd789 worker 1/6/2023
785bdef234 student 2/18/2023
785bdef234 student 2/19/2023
785bdef234 worker 2/20/2023
785bdef234 worker 2/21/2023
785bdef234 PR 2/22/2023
546weyt548 student 3/17/2023
546weyt548 student 3/18/2023
546weyt548 student 3/19/2023
546weyt548 student 3/20/2023
546weyt548 worker 3/21/2023
546weyt548 worker 3/22/2023
546weyt548 PR 3/23/2023
546weyt548 PR 3/24/2023
546weyt548 PR 3/25/2023
762wwer880 student 3/21/2023
762wwer880 student 3/22/2023
762wwer880 student 3/23/2023
762wwer880 student 3/24/2023
762wwer880 student 3/25/2023
762wwer880 PR 3/26/2023
762wwer880 PR 3/27/2023
762wwer880 worker 3/28/2023
762wwer880 worker 3/29/2023
762wwer880 worker 3/30/2023
|
2770d8382c8076e10e46e18e826fa0df
|
{
"intermediate": 0.47485098242759705,
"beginner": 0.2017180621623993,
"expert": 0.3234309256076813
}
|
41,684
|
review all this and let contine Reviewing the provided PendleLpOracle contract, which aims to provide a latest ETH value for a PtToken by combining Chainlink's price feed with the TWAP (Time-Weighted Average Price) from a Pendle market, let's identify potential vulnerabilities or areas of improvement by going through the contract and related external calls.
Contract Analysis
Constructor Checks:
The constructor ensures the Chainlink price feed's decimals match a predefined standard (DEFAULT_DECIMALS). This is a good practice to avoid decimal-related discrepancies in price calculations.
Immutable Variables:
Uses immutable for PENDLE_MARKET_ADDRESS, PENDLE_MARKET, FEED_ASSET, ORACLE_PENDLE_PT, and TWAP_DURATION. Immutable variables are efficient for gas costs and ensure these variables can't be altered after deployment, enhancing contract security.
Error Handling:
Custom errors (InvalidDecimals, CardinalityNotSatisfied, and OldestObservationNotSatisfied) are defined for more gas-efficient reverts compared to traditional require statements with error messages.
latestAnswer Function:
Retrieves the latest round data from the Chainlink price feed and checks the oracle state from ORACLE_PENDLE_PT.
There's a dependency on the external calls to FEED_ASSET.latestRoundData() and ORACLE_PENDLE_PT.getOracleState() which might not always return expected results or could be manipulated in the oracle contract.
The division at the end of latestAnswer doesn't check for division by zero, which is implicitly handled by Solidity reverting on division by zero. However, ensuring answerFeed is not zero before performing the division could prevent potential issues or provide clearer error reporting.
Use of TWAP and External Oracle Data:
Combining Chainlink price data with TWAP calculated from the Pendle market oracle requires trust in the accuracy and security of the Pendle oracle (ORACLE_PENDLE_PT) and the mechanism to fetch TWAP (PendleLpOracleLib.getLpToAssetRate).
If the TWAP calculation mechanism in PendleLpOracleLib is manipulable or if there's a discrepancy in the timestamps used for TWAP calculations, it could lead to inaccurate price reporting.
Decentralization and Oracle Manipulation Risk:
The contract assumes that both Chainlink's oracle and Pendle's oracle are trustworthy and manipulation-resistant. Any centralized control or vulnerability in these oracles could affect the latestAnswer reliability.
Potential for Improvement in Error Handling:
While custom errors are used, the contract could benefit from more detailed checks or validations, especially around external data being fetched. For instance, additional checks on the values returned by latestRoundData from Chainlink and ensuring they are within expected ranges or conditions.
Potential Vulnerability: Oracle Manipulation or Reliance
Given the reliance on external oracles (FEED_ASSET and ORACLE_PENDLE_PT), a potential vulnerability is the manipulation of these oracles or errors in their data. If either oracle provides incorrect data, it directly affects the latestAnswer. Ensuring robustness in these external dependencies is crucial.
Mitigation Strategies:
Implement Additional Checks: Before performing calculations with external data, implement checks to ensure the data falls within expected ranges or adheres to specific conditions.
Oracle Decentralization: Ensure that the oracles used, both Chainlink and Pendle, are decentralized and have mechanisms in place to resist manipulation.
Use of Circuit Breakers: Implement circuit breakers that can pause the oracle under extreme conditions or if manipulation is detected.
External Audits: Both the PendleLpOracle contract and the external oracles it depends on should undergo thorough security audits to identify potential vulnerabilities, especially in the logic that calculates or verifies TWAP.
Addressing these points can enhance the security and reliability of the PendleLpOracle contract, ensuring it provides accurate and trustworthy price data.
User
start understand every inch of how this functions is works and take the the ability to understand the protocol in the previous info that i give understand stand the function line by line and catch the bug with how all the functions interact with each other * @dev Read function returning latest ETH value for PtToken Uses answer from USD chainLink pricefeed and combines it with the result from ethInUsd for one token of PtToken.
function latestAnswer()
public
view
returns (uint256)
{
(
,
int256 answerFeed,
,
,
) = FEED_ASSET.latestRoundData();
(
bool increaseCardinalityRequired,
,
bool oldestObservationSatisfied
) = ORACLE_PENDLE_PT.getOracleState(
PENDLE_MARKET_ADDRESS,
TWAP_DURATION
);
if (increaseCardinalityRequired == true) {
revert CardinalityNotSatisfied();
}
if (oldestObservationSatisfied == false) {
revert OldestObservationNotSatisfied();
}
uint256 lpRate = _getLpToAssetRateWrapper(
IPMarket(PENDLE_MARKET_ADDRESS),
TWAP_DURATION
);
return lpRate
* uint256(answerFeed)
/ PRECISION_FACTOR_E18;
}
function _getLpToAssetRateWrapper(
IPMarket _market,
uint32 _duration
)
internal
view
returns (uint256)
{
return PendleLpOracleLib.getLpToAssetRate(
_market,
_duration
);
}
and Start fuzz with a mock and mimic the contract functions with python and break the contract behavior with the fuzz with higher value to prove the bug is valid, the bug is The functions is related to the the @dev Read function returning latest ETH value for PtToken Uses answer from USD chainLink pricefeed and combines it with the result from ethInUsd for one token of PtToken.
function latestAnswer()
public
view
returns (uint256)
{
(
,
int256 answerFeed,
,
,
) = FEED_ASSET.latestRoundData();
(
bool increaseCardinalityRequired,
,
bool oldestObservationSatisfied
) = ORACLE_PENDLE_PT.getOracleState(
PENDLE_MARKET_ADDRESS,
TWAP_DURATION
);
if (increaseCardinalityRequired == true) {
revert CardinalityNotSatisfied();
}
if (oldestObservationSatisfied == false) {
revert OldestObservationNotSatisfied();
}
uint256 lpRate = _getLpToAssetRateWrapper(
IPMarket(PENDLE_MARKET_ADDRESS),
TWAP_DURATION
);
return lpRate
* uint256(answerFeed)
/ PRECISION_FACTOR_E18;
}
function _getLpToAssetRateWrapper(
IPMarket _market,
uint32 _duration
)
internal
view
returns (uint256)
{
return PendleLpOracleLib.getLpToAssetRate(
_market,
_duration
);
}
start test the fuzz test dose not need to interact with external environment
1 / 4
ChatGPT
Given the complexity of the PendleLpOracle contract and its dependencies on external data sources for calculating the latest ETH value for a PtToken, we'll simulate the behavior of this contract in Python to perform a fuzzing test. This test aims to mimic the contract's function logic without real blockchain interaction, focusing on the interaction between latestAnswer and _getLpToAssetRateWrapper functions and the potential vulnerabilities in handling data from external oracles.
For this simulation, we need to mock:
The Chainlink price feed's latest round data response.
The oracle state check from ORACLE_PENDLE_PT.
The LP to asset rate calculation from PendleLpOracleLib.
We'll fuzz test by varying:
The answerFeed value from the mocked Chainlink price feed.
The oracle state indicators (increaseCardinalityRequired, oldestObservationSatisfied).
The lpRate value to simulate different LP to asset rates.
The goal is to identify conditions under which the contract might exhibit unexpected behavior, such as arithmetic overflow/underflow, division by zero, or logical errors resulting from extreme or edge-case inputs.
Python Simulation
python
from random import randint, choice
# Constants
PRECISION_FACTOR_E18 = 10**18
# Mocked external functions
def get_latest_round_data():
# Mocks Chainlink's latestRoundData, returning a random answerFeed
return randint(-10**6, 10**6)
def get_oracle_state():
# Randomly decides if increaseCardinalityRequired and oldestObservationSatisfied
return choice([True, False]), choice([True, False])
def get_lp_to_asset_rate():
# Mocks the LP to asset rate calculation
return randint(1, 10**6)
# Contract function simulation
def latest_answer():
answerFeed = get_latest_round_data()
increaseCardinalityRequired, oldestObservationSatisfied = get_oracle_state()
if increaseCardinalityRequired:
return "CardinalityNotSatisfied"
if not oldestObservationSatisfied:
return "OldestObservationNotSatisfied"
lpRate = get_lp_to_asset_rate()
# Calculating the final value, safely handling negative price feeds
if answerFeed < 0:
return "Negative price feed error"
return lpRate * answerFeed / PRECISION_FACTOR_E18
# Fuzz testing
def fuzz_test(iterations=10000):
results = {"CardinalityNotSatisfied": 0, "OldestObservationNotSatisfied": 0, "Negative price feed error": 0, "Success": 0}
for _ in range(iterations):
result = latest_answer()
if result in results:
results[result] += 1
else:
results["Success"] += 1
return results
# Perform the fuzz test
fuzz_test_results = fuzz_test()
print(fuzz_test_results)
What this simulates:
Random responses from Chainlink's price feed, including negative values to mimic adverse conditions.
Random oracle state conditions to trigger custom error paths.
Variations in LP to asset rate calculations.
Focus Areas:
Error Handling: Observing how often CardinalityNotSatisfied and OldestObservationNotSatisfied errors are triggered can indicate potential issues with oracle data reliability.
Negative Price Feeds: Handling of negative values from Chainlink's feed is crucial, as real-world scenarios might not always produce positive numbers due to market anomalies or oracle failures.
Arithmetic Operations: The division by PRECISION_FACTOR_E18 should not lead to unexpected behavior, even with extreme answerFeed and lpRate values.
This simulation and fuzzing approach, while abstract and not interacting with the actual blockchain or oracles, helps to identify logical and arithmetic vulnerabilities that could be explored further in a real contract environment with proper testing frameworks like Hardhat or Truffle.
User
start test
ChatGPT
The fuzz test results from simulating 10,000 iterations are as follows:
CardinalityNotSatisfied: 4,979 occurrences
OldestObservationNotSatisfied: 2,493 occurrences
Negative price feed error: 1,271 occurrences
Success: 1,257 occurrences
Analysis of Results
High Incidence of Cardinality and Observation Errors: A significant portion of the tests resulted in CardinalityNotSatisfied and OldestObservationNotSatisfied errors. This suggests that, in a real contract environment, the conditions related to oracle state might frequently not meet the requirements, possibly due to how oracle updates are managed or due to the volatility in the underlying data sources. This could lead to the oracle being unable to provide a latest answer under many circumstances.
Handling Negative Price Feeds: The occurrence of Negative price feed error indicates scenarios where the simulated Chainlink feed returned negative values. While this might be unrealistic for actual price feeds, it's crucial for the contract to handle unexpected input gracefully. This showcases the importance of validating external data before processing.
Limited Successful Computations: Only a small fraction of attempts successfully computed a latest answer without encountering errors. This underlines potential robustness issues in how the contract interacts with external oracles and calculates the final value.
Conclusions and Recommendations
Improve Oracle Reliability: The contract might benefit from mechanisms to ensure the reliability and consistency of oracle data, possibly by integrating fallback oracles or additional checks to validate data before use.
Validate External Data: Implement validation for external data inputs, especially to ensure that price feeds are within expected ranges. This can prevent errors related to unexpected input values.
Error Handling: Consider more nuanced error handling strategies that could allow the contract to attempt to correct or bypass certain conditions, enhancing its resilience and reliability.
Review Oracle Update Mechanisms: Given the high incidence of cardinality and observation-related errors, reviewing and possibly adjusting the logic or parameters related to oracle updates and TWAP calculations could help reduce these occurrences.
This simulation highlights areas for further investigation and potential improvement in handling data from external oracles and ensuring the contract can reliably perform its intended functions even under adverse or unexpected conditions.
2 / 2
User
prove the bug is valid and correct and show the unexpected behavior in the contract in this line the answerFeed is obtained from FEED_ASSET.latestRoundData and this is type of int256 so the answerFeed is can be negative cause the cast of an int256 to uint256 can lead to unexpected behavior
uint256 lpRate = _getLpToAssetRateWrapper(
IPMarket(PENDLE_MARKET_ADDRESS),
TWAP_DURATION
);
return lpRate
* uint256(answerFeed)
/ PRECISION_FACTOR_E18;
}
cause I don't think it can be negative to start with, just based on min/max value that are reported by the chainlink, they use it for a different reason I believe. and we would have to see such even ever occur first that chainlink feed would return a negative value. In this case we have a protection relying on minimum value expected if its below that threshold the oracle will pause work until values are adequate. I would like to know what do you mean by "unexpected behavior" though. Could you give a coding example of such behavior in the fuzz test ?
5 / 5
ChatGPT
The concern about casting an int256 to uint256 leading to unexpected behavior is valid when considering the entire range of possible int256 values. In Solidity, negative int256 values, when directly cast to uint256, undergo an underflow that results in very large uint256 values due to how data is represented in two's complement form. This can certainly lead to unexpected behavior, especially in arithmetic operations.
Given the specific context of Chainlink oracles, while it's rare for financial oracles to report negative prices (considering they often track asset prices that cannot be negative), theoretical considerations still apply, especially for other types of data or in unexpected scenarios (e.g., bugs in the oracle, extreme market conditions, etc.).
Illustrating Unexpected Behavior
Let's modify the previous fuzz test to specifically illustrate how a negative answerFeed from a Chainlink-like oracle could lead to unexpected behavior when cast to uint256 and used in a calculation.
Coding Example
We'll simulate a scenario where answerFeed can be negative and show how casting it to uint256 can result in a very large unintended value:
python
def simulate_negative_to_uint_conversion():
negative_answer_feed = -1 # A negative value, representing an anomaly or extreme case
casted_answer_feed = negative_answer_feed & ((1 << 256) - 1) # Simulate int256 to uint256 cast in Solidity
print(f"Original negative value: {negative_answer_feed}")
print(f"Casted to uint256: {casted_answer_feed}")
simulate_negative_to_uint_conversion()
This Python code snippet mimics the behavior of casting a negative int256 value to uint256 in Solidity by applying a bitwise AND with 2**256 - 1, which is how such a cast effectively behaves in the EVM (Ethereum Virtual Machine).
Discussion
The casting results in a very large uint256 value, which, when used in arithmetic operations (e.g., multiplying with lpRate and dividing by PRECISION_FACTOR_E18), can lead to calculations that are entirely out of the expected range. This is the "unexpected behavior" referred to: calculations based on these cast values can result in outputs that make no sense in the context of the intended logic of the contract (e.g., computing a token price).
Mitigation
To mitigate such risks in Solidity contracts:
Validation Before Casting: Ensure that values expected to be non-negative are explicitly checked before casting. For Chainlink oracles reporting asset prices, this might involve ensuring answerFeed > 0 before performing the cast.
Pause Oracles on Anomalies: Implement logic to pause or ignore updates from oracles when they report values outside of expected ranges, as mentioned in your protection strategy.
Use Appropriate Data Types: If certain values are not expected to be negative, using uint256 in the oracle interface itself could enforce this at the type level, although this depends on the external oracle's design and cannot always be controlled by the consuming contract.
This approach ensures that the contract behaves predictably even in the face of unusual external data.
2 / 2
User
demonstate this that the casting is results in a very large uint256 value, when used in arithmetic operations multiplying with lpRate and dividing by PRECISION_FACTOR_E18 is can lead to calculations that are entirely out of the expected range this what i means about the unexpected behavior
ChatGPT
The simulation demonstrates the unexpected behavior when a negative int256 value (-1 in this example) is cast to a uint256. The casted value becomes extremely large (115792089237316195423570985008687907853269984665640564039457584007913129639935), reflecting the two's complement representation of a negative number in a uint context.
When this very large uint256 value is used in the subsequent arithmetic operation (multiplying by an example lpRate of 1000 and dividing by the PRECISION_FACTOR_E18 of 10**18), the result is still an enormously large number (115792089237316195423570985008687907853269984665640564039457584), which is entirely out of the expected range for any realistic financial calculations.
This clearly illustrates the "unexpected behavior" risk: arithmetic operations on incorrectly casted negative values can lead to nonsensical results, far removed from any meaningful financial metrics. It underscores the importance of validating and correctly handling data from external sources like oracles before using it in critical financial computations within smart contracts.
User
hence I will give you this function contractPendleLpOracle {
uint256 PRECISION_FACTOR_E18 = 1E18;
function unexpectedShit(
uint256 lpRate,
int256 answerFeed
)
external
viewreturns (uint256)
{
return lpRate
*uint256(answerFeed)
/PRECISION_FACTOR_E18;
}
}
} and you can tell me what should I use for input to get the unexpected behavior
ChatGPT
Given the function unexpectedShit in your contractPendleLpOracle, to observe the unexpected behavior due to casting a negative int256 value (answerFeed) to uint256 and performing arithmetic operations with it, you should provide:
A negative value for answerFeed. This will be cast to a uint256, resulting in a very large number due to how negative numbers are represented in two's complement form.
Any positive value for lpRate. This will be multiplied by the casted value of answerFeed, amplifying the effect of the unexpected large number obtained from the cast.
Example Input:
lpRate: 1000 (or any positive number you choose)
answerFeed: -1 (or any negative number to simulate a scenario where the oracle might return a negative value due to an anomaly or a bug)
Expected Output:
Using these inputs, the unexpectedShit function will perform the following calculation:
-1 cast to uint256 results in a very large number (specifically, 2^256 - 1 due to the two's complement representation).
This very large number is then multiplied by the lpRate (e.g., 1000).
The product is then divided by PRECISION_FACTOR_E18 (1E18).
The result will be an enormously large number, showcasing the "unexpected behavior" due to casting a negative int256 to a uint256 and using it in calculations without validation or appropriate handling of negative values. This demonstrates how critical it is to ensure data integrity and validate input values, especially when dealing with external data sources like oracles in smart contracts.
User
i guess if we dont use twap but use min max we wouldnt know if its negative
since we type cast b tw, its not just any negative number or any positive, it has be very precise numbers to produce that behavior give me the precise numbers to produce that behavior cause cant hurt to add such a check i guess
for case of no twap and it accidentally being casted within min max range but not realistic
i mean we are talking about something which never happend and never should happen etc
yeah I still didn't get exact numbers that should be used, but by just looping only few numbers can work, only if lpRate is 1
but not just any numbers, which again for lpRate to be 1 is also has to be shown in which condition it can be 1
3 / 3
ChatGPT
For the scenario described—achieving unexpected behavior through precise input values when lpRate is 1 and without relying on TWAP but instead using min-max values—the goal is to illustrate a case where the direct casting of a negative int256 to uint256 results in a calculation that fits within plausible bounds yet is fundamentally flawed due to the nature of the negative input.
Understanding the Mechanics
Casting -1 from int256 to uint256: This particular casting results in uint256 max value (2^256 - 1), due to two's complement representation of negative numbers.
Realistic lpRate Values: An lpRate of 1 is an edge case and simplifies our calculations but is crucial for this demonstration. It could theoretically occur in a very balanced liquidity pool scenario or in a simplified or artificial example.
Precise Inputs for Demonstration
Given these constraints, the inputs to produce unexpected behavior in the function unexpectedShit would be:
lpRate: 1
answerFeed: -1
These inputs are chosen because they directly illustrate the issue without the need for complex conditions or TWAP considerations. The casting of -1 leads directly to an output derived from the maximum uint256 value, showcasing the arithmetic overflow/underflow problem in a straightforward manner.
Why This Matters
While the scenario of a Chainlink price feed reporting a negative number (like -1 for answerFeed) or an lpRate of 1 might seem far-fetched or highly improbable in practical terms, it's a valuable exercise for a few reasons:
Security and Robustness: Smart contracts, especially those handling financial operations, must be designed to handle edge cases and unexpected inputs gracefully. Even though certain conditions "should never happen," the immutable and high-stakes nature of blockchain applications necessitates planning for the improbable.
Input Validation: This exercise underscores the importance of validating external inputs before use. In real-world scenarios, this might include checks beyond simply whether the data is negative, considering the source's reliability, the data's range, and its fit with the expected domain of values.
Error Handling: Adding checks for unrealistic values allows contracts to fail gracefully or revert transactions when data integrity is in question, enhancing the system's overall resilience.
Conclusion
Even in a highly unlikely scenario—such as Chainlink or any oracle reporting a value that doesn't reflect real-world possibilities—the exercise of identifying precise numbers that could exploit the lack of input validation serves as a critical reminder of the need for comprehensive security practices in smart contract development.
2 / 2
User
I still didn't get exact numbers that should be used, but by just looping only few numbers can work, only if lpRate is 1
but not just any numbers, which again for lpRate to be 1 is also has to be shown in which condition it can be 1
ChatGPT
To demonstrate the specific unexpected behavior with precise numbers, let's focus on the conditions you're interested in: using exact inputs that can cause the issue with an lpRate of 1, under the unusual but theoretically possible scenario that needs to be guarded against in smart contract development.
The Scenario
lpRate: Must be 1 for this example. This could theoretically happen in a very unique scenario where the liquidity pool's assets are perfectly balanced to the extent that the value of LP tokens directly equals the assets deposited, without any premium or additional value coming from fees or liquidity provision rewards. While highly unlikely in real-world DeFi environments, it's not impossible.
answerFeed: Needs to be a negative number that, when cast from int256 to uint256, produces a meaningful yet unrealistic result due to the cast.
Precise Input for answerFeed
Direct Casting Result: Casting an int256 value of -1 to uint256 directly in Solidity results in the maximum uint256 value, which is 2^256 - 1. This is a direct result of how numbers are stored in two's complement form.
Result of the Calculation
Given lpRate = 1 and answerFeed = -1 (cast to uint256 yielding 2^256 - 1), the operation in the unexpectedShit function would effectively be:
solidity
(uint256(-1) * 1) / 1E18
Given that uint256(-1) is 2^256 - 1, the calculation would attempt to process a division of 2^256 - 1 by 1E18, resulting in a massively large number far outside any realistic financial calculation. This demonstrates how a negative price feed (though highly improbable from a reputable oracle like Chainlink) can lead to unexpected outcomes if not properly validated.
Steps for Validation
To mitigate such scenarios, implementing checks before performing arithmetic operations with externally sourced data is crucial:
Validate Non-Negative: Ensure answerFeed is non-negative before casting and using it in calculations.
Sanity Check on Rates: While lpRate being exactly 1 is a simplification for this example, validating that rates and other calculated values make sense within the context of your application can prevent unexpected results.
Guard Against Improbable Data: While oracles like Chainlink are designed to provide reliable, tamper-resistant data, contracts should implement mechanisms to handle data anomalies gracefully—this could include pausing operations, reverting transactions, or flagging for manual review any values that fall outside expected ranges.
By considering these precise inputs and conditions under which lpRate is 1, this example underscores the importance of defensive programming and rigorous validation of external data in smart contract development.
User
cant hurt to add such a check i guess
for case of no twap and it accidentally being casted within min max range but not realistic
i mean we are talking about something which never happend and never should happen etc
this talks about it using negative oil price as an example Everything You Need to Know about Integrating Chainlink (Common and Rare Bugs Explained) give validation from this docs
The most comprehensive knowledge bank for integrating Chainlink into your smart contracts securely and effectively
degensec's photo
degensec
·
Jul 2, 2023
·
8 min read
Table of contents
Fundamentals First
Check the Quality of the Feed
Fork Carefully
Understand the Trust Model
Ensure the L2 Sequencer is Running
Be Careful with Wrapped and Bridged Tokens
Think about a Fallback
Combine Prices with Care
Outro
Web3 Auditors, bookmark this one!
In this information-packed guide, I’ve compiled everything you need to know about integrating Chainlink securely in your smart contracts.
The following 8 sections will cover increasingly advanced topics from Chainlink integration fundamentals to rare gotchas seen in the wild.
Let’s dive in.
NOTE: This guide assumes you have a basic concept-level understanding of oracles and some familiarity with Chainlink. To get up to speed, read Mastering Ethereum: 11. Oracles and check out Chainlink’s Architecture.
Fundamentals First
Chainlink's documentation has an integration guide that includes a sample contract. Unfortunately, this sample contract is inadequate for most use cases (especially if we want to do it as securely as possible).
We'll look at three essential safety mechanisms you must put in place every time you're integrating Chainlink into your project.
Here's the official sample contract (redacted for brevity):
// SPDX-License-Identifier: MIT
pragma solidity 0.8.20;
import "@chainlink/contracts/src/v0.8/interfaces/AggregatorV3Interface.sol";
contract DegenDeFi {
AggregatorV3Interface internal constant dataFeed =
AggregatorV3Interface(
0x1b44F3514812d835EB1BDB0acB33d3fA3351Ee43
);
function getLatestData() public view returns (int256) {
(
/* uint80 roundId */,
int256 answer,
/* uint256 startedAt */,
/* uint256 updatedAt */,
/* uint80 answeredInRound */
) = dataFeed.latestRoundData();
return answer;
}
}
It calls latestRoundData() on the feed and returns int256 answer. The keen-eyed among you will notice that this means that answer can technically be negative.
Negative asset prices are far-fetched but not impossible: futures markets occasionally see contracts drop below 0 when supply/demand shocks hit (see Oil Futures in April 2020).
Handle negative and 0 answers
Since most DeFi applications assume a non-negative price, we should cast the answer to a uint256 and return it. How we react to answer <= 0 depends on the situation.
Can users interact with a free asset without messing up the accounting? If so, then return 0 in place of negative values. If not, then it's better to revert and wait for a valid answer from the feed.
function getLatestData() public view returns (uint256) {
(
/* uint80 roundId */,
int256 answer,
/* uint256 startedAt */,
/* uint256 updatedAt */,
/* uint80 answeredInRound */
) = dataFeed.latestRoundData();
// ✨ added sanity check
if (answer <= 0) {
// Option 1 (Recommended): Assume something went wrong
revert InvalidAnswer(answer);
// Option 2: Treat it as a 0
// return 0;
}
return uint256(answer);
}
Add a staleness check
Chainlink Feeds have two trigger parameters that decide when the answer must be updated. These are called the deviation threshold and the heartbeat.
In the above feed, prices will be updated either:
when the off-chain price moves more than ±0.5% from the last reported price, or
when 24h have passed since the last update.
Despite these rules, integrators cannot assume that the reported price is within 0.5% of the off-chain price, or that it is at most 24h stale.
This is because writing an update to this feed requires at least 11 of the 16 data to respond. When the quorum is not met the maximum staleness and deviation of the feed's latest answer are theoretically unbounded.
While we can't easily check the deviation, as it would require having another price oracle, we can at least control for staleness. latestRoundData() conveniently returns uint256 updatedAt, the timestamp of the latest feed update.
function getLatestData() public view returns (uint256) {
(
/* uint80 roundId */,
int256 answer,
/* uint256 startedAt */,
uint256 updatedAt,
/* uint80 answeredInRound */
) = dataFeed.latestRoundData();
if (answer <= 0) {
revert InvalidAnswer(answer);
}
// ✨ added staleness check
uint256 staleness = block.timestamp - updatedAt;
if (staleness >= MAX_STALENESS) {
revert StaleAnswer(staleness);
}
return uint256(answer);
}
The function now rejects the feed's answer if it was updated more than 24 hours ago.
Don't assume latestRoundData will always succeed
This is a controversial one, folks. Most Chainlink oracles can be access-controlled (and some are). Don't believe me? Check out the code for the stETH / ETH aggregator. Calls to the view functions will revert if the caller is blacklisted.
There is a possibility in the future that access to Chainlink oracles will be restricted to paying customers (Chainlink is currently subsidized and has no monetization model in place for its most used feeds).
If you're building an immutable protocol with a fallback oracle, it makes sense to surround the latestRoundData() call in a try-catch statement to gracefully recover from the error.
function getLatestData() public view returns (uint256) {
try dataFeed.latestRoundData() returns (
/* uint80 roundId */,
int256 answer,
/* uint256 startedAt */,
uint256 updatedAt,
/* uint80 answeredInRound */
) {
// validate and return
} catch {
// use fallback oracle
}
}
Check the Quality of the Feed
Chainlink categorizes its feeds into 6 categories depending on their purpose and stability. In the ideal case, you would only integrate Verified Feeds into your protocol, as they have the highest guarantee for long-term dependability.
New price feed pairs will be Provisional for the first 90 days of their release, during which their parameters are likely to change. Monitored Feeds are feeds "under review by the Chainlink Labs team to support the stability of the broader ecosystem", meaning they have recently become unstable or less liquid than desired.
Be extra vigilant when integrating Custom Feeds and Specialized Feeds as they may have different answer semantics, trust assumptions and liveness guarantees.
The Deprecating category is a scary one if you're building an immutable protocol, although no Chainlink Feed has been deprecated yet.
Fork Carefully
If you're forking code that was written in 2021 or earlier, double-check that it doesn't make calls to latestAnswer(). That method is now deprecated and you should replace calls to latestAnswer() with latestRoundData().
Understand the Trust Model
It is always a good idea to check the source code and state of the deployed contracts relating to the feed. It usually looks something like this: an EACAggregatorProxy (the contract you call via the AggregatorV3Interface), owned by a multi-sig. The multi-sig can transfer ownership and change the aggregator. The aggregator contains interesting parameters such as:
transmitters, the addresses allowed to submit answers,
minAnswer and maxAnswer, defining what is considered a valid answer,
decimals of the answer.
Here are a couple of findings I made while writing this article:
The Ethereum stETH / ETH price feed considers a valid answer between 0.001ETH and 100ETH
The multi-sig used on Optimism feeds has 20 signers but an execution threshold of only 3! Half the signers have no ETH and have never made a transaction on Optimism. The same questionable setup exists on sever alternative blockchains.
A LINK price of less than $0.1 is considered invalid by the LINK / USD feed.
Make sure you understand and accept the trust assumptions for the feeds before you integrate them into your application.
Ensure the L2 Sequencer is Running
Chainlink maintains specialized L2 Sequencer Uptime Feeds for Arbitrum, Optimism and Metis. What is common between these chains is that they are optimistic rollups that utilize a sequencer contract to batch and execute L2 transactions. If the sequencer is non-functional then inbound L2 transactions will stay in the queue awaiting execution when the sequencer becomes available once again.
This means that the state on L2, including oracle updates, may become stale during sequencer downtime. Protocols should not rely on Chainlink feeds until the sequencer is back up and has processed its pending transactions.
When fetching Chainlink data on Arbitrum, Optimism and Metis check that the sequencer has been up for a minimum amount of time. For example:
// SPDX-License-Identifier: MIT
pragma solidity 0.8.20;
import "@chainlink/contracts/src/v0.8/interfaces/AggregatorV3Interface.sol";
contract DegenDeFi {
AggregatorV3Interface internal dataFeed;
AggregatorV3Interface internal sequencerUptimeFeed;
uint256 private constant MIN_SEQUENCER_UPTIME = 3600;
error SequencerDown();
error SequencerPending();
constructor() {
dataFeed = AggregatorV3Interface(
0x1b44F3514812d835EB1BDB0acB33d3fA3351Ee43
);
sequencerUptimeFeed = AggregatorV3Interface(
0x4C4814aa04433e0FB31310379a4D6946D5e1D353
);
}
function getLatestData() public view returns (int256) {
// ✨ added uptime check
(
/* uint80 roundId */,
int256 status,
uint256 startedAt,
/* uint256 updatedAt */,
/* uint80 answeredInRound */
) = sequencerUptimeFeed.latestRoundData();
if (status != 0) {
revert SequencerDown();
}
// ✨ ensures the pending queue is cleared
uint256 timeSinceUp = block.timestamp - startedAt;
if (timeSinceUp < MIN_SEQUENCER_UPTIME) {
revert SequencerPending();
}
// ... (get price feed data)
}
}
Be Careful with Wrapped and Bridged Tokens
Using a Chainlink feed to price derivative tokens is almost always an anti-pattern.
A critical pitfall seen in the wild is pricing bridged ETH on a less liquid chain using the ETH / USD feed. While a 1:1 redemption mechanism exists in both directions, providing an opportunity to peg the assets using arbitrage, this mechanism may break down in extreme economic situations.
Whether it is a drying up of liquidity on the destination chain or sell pressure on the derivative asset after a major hack, the result is more often than not that the bridged asset becomes cheaper than its underlying. This may spell doom for a lending market that treats the asset as 1:1 with ETH.
Always assess wrapped or bridged tokens on a case-by-case basis before pricing them 1:1 with their underlying.
Think about a Fallback
What should happen to your application when the Chainlink feed's answer is deemed untrusted? The simplest approach, and in my opinion usually the correct one, is just to deny service (i.e. revert) until the feed's answer is deemed satisfactory.
Yet for some protocols, uptime is more important than price validity. In these cases, it is a good idea to implement a fallback oracle such as a Uniswap V3 TWAP (article out soon 😉).
Combine Prices with Care
Lastly, pay attention when combining feed answers to derive a price. If we need the price of APE in terms of ETH on Arbitrum we cannot get the answer directly as there is no APE / ETH feed. We can instead divide the answer of the APE / USD feed and the ETH / USD feed to arrive at the APE / USD price.
Remember that USD-denominated feeds have 8 decimals while ETH-denominated feeds have 18 decimals. If we combine two feeds with 8 decimals of precision then our results will only have 8 decimals of precision and the rest will be division error.
function getLatestData() public view returns (uint256) {
(, int256 apeUsd, , , ) = apeUsdFeed.latestRoundData();
(, int256 ethUsd, , , ) = ethUsdFeed.latestRoundData();
// ✨ this only really has 8 decimals of precision
// this is usually sufficient
int256 apeEth = (apeUsd * 1e18) / ethUsd;
return uint256(apeEth);
}
Outro
Thank you for reading my blog post. I hope you have learned something. Consider subscribing to get notified about new articles. Nerdsnipe me on Twitter @degensec.
ant hurt to add such a check i guess
for case of no twap and it accidentally being casted within min max range but not realistic
i mean we are talking about something which never happend and never should happen etc
this talks about it using negative oil price as an example Everything You Need to Know about Integrating Chainlink (Common and Rare Bugs Explained) give validation from this docs
The most comprehensive knowledge bank for integrating Chainlink into your smart contracts securely and effectively
|
4636b797ea33a05d8f4c8ca6127c8e82
|
{
"intermediate": 0.43639448285102844,
"beginner": 0.24857063591480255,
"expert": 0.3150348961353302
}
|
41,685
|
optimize this kotlin code in order to maximize performance:
fun dumpCache() {
if (quadCount == 0) {
return
}
val lastTexture = lastTexture
if (lastTexture != null) {
if (lastTexture.isLoaded) {
// lastTexture.filter = lastFiltering
lastTexture.bind(0)
} else {
quadCount = 0
this.lastTexture = null
lastClipRect = null
return
}
}
currentDrawCount++
MpGl.glEnable(MpGl.GL_BLEND)
if (lastBlendMode == BLEND_NORMAL) {
if (renderer.isFboRendering) {
// 21 jun 2019
// Reason: Alpha in offscreen buffer (FBO) is applied twice. <
//See https://community.khronos.org/t/fbo-and-blending/57555
MpGl.glBlendFuncSeparate(
MpGl.GL_SRC_ALPHA,
MpGl.GL_ONE_MINUS_SRC_ALPHA,
MpGl.GL_ONE,
MpGl.GL_ONE_MINUS_SRC_ALPHA
)
//>
} else {
MpGl.glBlendFunc(
if (lastIsPmaTexture) {
MpGl.GL_ONE
} else {
MpGl.GL_SRC_ALPHA
},
MpGl.GL_ONE_MINUS_SRC_ALPHA
)
}
} else {
MpGl.glBlendFunc(MpGl.GL_SRC_ALPHA, MpGl.GL_ONE)
}
val lastClipRect = lastClipRect
if (lastClipRect != null && lastClipRect.area() > 0) {
MpGl.glEnable(MpGl.GL_SCISSOR_TEST)
val screenH = (-2.0 / renderer.projection[5]).roundToInt()
val x = lastClipRect.x.toInt()
val y = lastClipRect.y.toInt()
val w = lastClipRect.width.toInt()
val h = lastClipRect.height.toInt()
MpGl.glScissor(x, screenH - y - h, w, h)
}
val shader = if (lastIsPmaTexture) {
requestPmaShader()
} else {
requestDefaultShader()
}
shader.bind()
shader.uniformMat4(Shader.LOCATION_PROJECTION, renderer.projection, 1)
// combine
for (i in 0 until quadCount*6) {
val x = verticesPos[i * VERTEX_SIZE_POS].toRawBits()
val y = verticesPos[i * VERTEX_SIZE_POS + 1].toRawBits()
val ind = i * VERTEX_SIZE
vertices[ind] = (x and 0xFFFF).toShort()
vertices[ind + 1] = (x shr 16 and 0xFFFF).toShort()
vertices[ind + 2] = (y and 0xFFFF).toShort()
vertices[ind + 3] = (y shr 16 and 0xFFFF).toShort()
}
bufRenderer.renderIndexed(vertices,null,MpGl.GL_TRIANGLES,
quadCount*6, quadCount * VERTEX_SIZE * 4)
if (lastClipRect != null && lastClipRect.area() > 0) {
MpGl.glDisable(MpGl.GL_SCISSOR_TEST)
}
quadCount = 0
this.lastTexture = null
this.lastClipRect = null
lastIsPmaTexture = false
}
|
08e8d183dd53ad04a1e30ff6ee432b28
|
{
"intermediate": 0.3382453918457031,
"beginner": 0.3623773455619812,
"expert": 0.2993772625923157
}
|
41,686
|
I am making a C++ SDL based game engine, is this operator overload redundant or a bad idea?
struct Color
{
Color(Uint8 red, Uint8 green, Uint8 blue, Uint8 alpha);
Color& operator=(const Color& other);
Uint8 R;
Uint8 G;
Uint8 B;
Uint8 A;
};
Color::Color(Uint8 red = 255, Uint8 green = 255, Uint8 blue = 255, Uint8 alpha = 255) : R(red), G(green), B(blue), A(alpha)
{
}
Color& Color::operator=(const Color& other)
{
R = other.R;
G = other.G;
G = other.B;
A = other.A;
return *this;
}
|
63d10f45e5600f69f965b4823941aadc
|
{
"intermediate": 0.3787318468093872,
"beginner": 0.48990359902381897,
"expert": 0.13136450946331024
}
|
41,687
|
document.addEventListener('DOMContentLoaded', function() {
const canvas = document.getElementById('game-canvas');
const ctx = canvas.getContext('2d');
const playerSize = 40;
const playerImage = new Image();
playerImage.src = 'player.png';
const layerWidth = 80;
const ladderXOffset = 200;
const ladderWidth = layerWidth / 2;
const ladderHeight = 80;
const playerSpeed = 10;
let playerX = 0;
let playerY = canvas.height - playerSize - 50;
let isJumping = false;
let canMove = false;
let jumpsLeft = 2;
let currentLayer = 0;
const ladderPositions = [];
let isOnLadder = false;
let greenRectangles = [];
let lives = 3;
let level = 1;
let previousPlayerY = playerY;
let countdown = -15;
let purpleSquareX = 333;
let purpleSquareY = 333;
let purpleSquareSize = 40;
let blueSquareX = 100;
let blueSquareY = 100;
let blueSquareSize = 40;
let pinkSquare = {
x: 0,
y: canvas.height - playerSize - 50,
size: playerSize,
isInvincible: false,
invincibilityTimer: 0,
};
let isInvincible = false;
let invincibilityTimer = 0;
let score = 0;
let isPinkSquareVisible = true;
let isDonkeyKongVisible = true;
let lastConsoleLogMessage = "";
const dkImage = new Image();
dkImage.src = 'dk.png';
function logAndStore(message) {
console.log(message);
lastConsoleLogMessage = message;
}
function drawDonkeyKong() {
if (isDonkeyKongVisible) {
ctx.drawImage(dkImage, playerX + playerSize - 60, playerY - 60, 60, 60);
}
}
setTimeout(() => {
isPinkSquareVisible = false;
}, 10000);
for (let i = 0; i < 5; i++) {
let x;
if (i % 2 === 0) {
x = canvas.width - ladderXOffset - ladderWidth;
} else {
x = ladderXOffset;
}
const y = canvas.height - 50 - (i + 1) * 100 + 10;
ladderPositions.push({ x, y });
}
function drawScore() {
ctx.font = "16px Arial";
ctx.fillStyle = "#0095DD";
ctx.fillText(`Score: ${score}`, canvas.width - 60 - 100, 20);
}
function drawHammerTime() {
if (isPinkSquareVisible) {
ctx.font = "30px Arial";
ctx.fillStyle = "red";
ctx.fillText("HAMMERTIME", canvas.width - 500, 595);
}
}
function drawPlayer() {
if (isInvincible) {
ctx.fillStyle = 'pink';
ctx.fillRect(pinkSquare.x, pinkSquare.y, pinkSquare.size, pinkSquare.size);
} else {
ctx.fillStyle = '#fff';
ctx.fillRect(playerX, playerY, playerSize, playerSize);
}
}
function drawSolidObjects() {
ctx.fillStyle = '#8B4513';
let yPos = canvas.height - 50;
let openingSide = 'right';
for (let i = 0; i < canvas.height; i += 100) {
if (i === playerY) {
ctx.fillRect(0, yPos, canvas.width, 20);
} else {
if (openingSide === 'left') {
ctx.fillRect(0, yPos, canvas.width - layerWidth, 20);
openingSide = 'right';
} else {
ctx.fillRect(layerWidth, yPos, canvas.width - layerWidth, 20);
openingSide = 'left';
}
}
yPos -= 100;
}
ctx.fillStyle = '#008000';
ladderPositions.forEach(ladder => {
let adjustedX = ladder.x;
if (level === 2 || level === 3) {
adjustedX = canvas.width - ladder.x - ladderWidth;
}
ctx.fillRect(adjustedX, ladder.y, ladderWidth, ladderHeight);
});
}
function drawDonkeyKong() {
greenRectangles.forEach(rectangle => {
const image = new Image();
image.src = 'wp.png';
ctx.drawImage(image, rectangle.x, rectangle.y, 40, 40);
});
if (level === 2 || level === 3) {
ctx.fillRect(canvas.width - 100 - 60, 90, 60, 60);
} else {
ctx.fillRect(canvas.width - 100 - 60, 90, 60, 60);
}
}
function drawLevel() {
ctx.font = '20px Arial';
ctx.fillStyle = 'white';
ctx.fillText(`Level: ${level}`, 10, canvas.height - 10);
}
function drawCountdown() {
ctx.font = '20px Arial';
ctx.fillStyle = 'white';
ctx.fillText(`Countdown: ${countdown}`, canvas.width / 2 - 50, 30);
}
function drawLives() {
ctx.font = '20px Arial';
ctx.fillStyle = 'white';
ctx.fillText(`Lives: ${lives}`, 10, 30);
}
function movePlayer(direction) {
if (direction === 'left') {
playerX -= playerSpeed;
pinkSquare.x = playerX - pinkSquare.size;
} else if (direction === 'right') {
playerX += playerSpeed;
pinkSquare.x = playerX + playerSize;
}
draw();
}
document.addEventListener('keydown', function(event) {
if (!canMove) return;
if (!isJumping) {
if (event.key === 'ArrowLeft' && playerX > 0) {
movePlayer('left');
} else if (event.key === 'ArrowRight' && playerX + playerSize < canvas.width) {
movePlayer('right');
} else if (event.key === 'ArrowUp') {
climbUp();
} else if (event.key === 'ArrowDown') {
climbDown();
}
}
if (event.key === ' ') {
jump();
}
checkCollisions();
checkLevelTransition();
draw();
});
function drawPurpleSquare() {
ctx.fillStyle = 'purple';
purpleSquareY = 10;
ctx.fillRect(purpleSquareX, purpleSquareY, purpleSquareSize, purpleSquareSize);
}
function drawBlueSquare() {
ctx.fillStyle = 'blue';
ctx.fillRect(blueSquareX, blueSquareY, blueSquareSize, blueSquareSize);
}
function clearCanvas() {
ctx.clearRect(0, 0, canvas.width, canvas.height);
}
function draw() {
clearCanvas();
drawDonkeyKong();
drawPlayer();
drawSolidObjects();
drawLives();
drawLevel();
drawCountdown();
drawPurpleSquare();
drawHammerTime();
if (level === 2) {
blueSquareX = 200;
blueSquareY = 200;
} else if (level === 3) {
blueSquareX = 300;
blueSquareY = 300;
} else if (level === 4) {
blueSquareX = 400;
blueSquareY = 400;
}
drawBlueSquare();
drawScore();
}
function drawPinkSquare() {
ctx.fillStyle = 'pink';
ctx.fillRect(pinkSquare.x, pinkSquare.y, pinkSquare.size, pinkSquare.size);
}
function jump() {
if (!isJumping && jumpsLeft > 0 && !isOnLadder) {
isJumping = true;
previousPlayerY = playerY;
playerY -= 50;
jumpsLeft--;
setTimeout(() => {
isJumping = false;
applyGravity();
checkJumpCompletion();
}, 700);
}
}
function applyGravity() {
const groundLevel = canvas.height - playerSize - 50 - (currentLayer * 100);
if (playerY < groundLevel) {
playerY += 10;
draw();
requestAnimationFrame(applyGravity);
} else {
playerY = groundLevel;
jumpsLeft = 2;
draw();
}
}
function climbUp() {
for (const ladder of ladderPositions) {
let adjustedX = ladder.x;
if (level === 2 || level === 3) {
adjustedX = canvas.width - ladder.x - ladderWidth;
}
if (
playerX + playerSize >= adjustedX &&
playerX <= adjustedX + ladderWidth &&
playerY + playerSize >= ladder.y &&
playerY <= ladder.y + ladderHeight
) {
playerY -= 100;
currentLayer++;
draw();
return;
}
}
}
function climbDown() {
for (const ladder of ladderPositions) {
if (
playerX + playerSize >= ladder.x &&
playerX <= ladder.x + ladderWidth &&
playerY + playerSize >= ladder.y &&
playerY <= ladder.y + ladderHeight
) {
if (!isOnLadder) {
playerY += 50;
currentLayer--;
}
isOnLadder = true;
draw();
return;
}
}
}
function moveGreenRectangle(rectangle) {
if (rectangle.direction === 'left' && level === 1 || rectangle.direction === 'right' && level === 2) {
rectangle.x -= rectangle.speed;
} else {
rectangle.x += rectangle.speed;
}
const solidObjectsY = canvas.height - 90;
if (rectangle.y + 40 >= solidObjectsY) {
if (rectangle.x < canvas.width - layerWidth && rectangle.x + 40 > layerWidth) {
rectangle.speed *= -1;
rectangle.y = solidObjectsY - 40;
}
}
if (rectangle.x <= 39 || rectangle.x >= canvas.width - 79) {
rectangle.y += 100;
rectangle.speed *= -1;
}
if (currentLayer === 0 && rectangle.y >= canvas.height - 90 - 20) {
rectangle.speed = -5;
rectangle.y = canvas.height - 90 - 20;
}
if (rectangle.y >= canvas.height - 90 - 50) {
rectangle.speed = 5;
}
}
function generateGreenRectangle() {
let initialX = level === 1 ? canvas.width - 160 : canvas.width - 60 - 40;
const randomY = 110;
let speed = 5;
if (level === 2) {
speed += 0.1;
} else if (level === 3) {
speed += 0.3;
} else if (level === 4) {
speed += 0.6;
}
const direction = level === 1 ? 'left' : 'right';
greenRectangles.push({ x: initialX, y: randomY, speed, direction });
}
function checkJumpCompletion() {
if (playerY < previousPlayerY) {
for (let i = 0; i < greenRectangles.length; i++) {
const rectangle = greenRectangles[i];
if (
playerX < rectangle.x + 40 &&
playerX + playerSize > rectangle.x &&
previousPlayerY + playerSize <= rectangle.y &&
playerY + playerSize >= rectangle.y - 15
) {
const proximityScore = Math.max(0, 100 - Math.abs(playerX + playerSize / 2 - (rectangle.x + 20)));
score += proximityScore;
console.log(`Score: ${score}`);
}
}
}
previousPlayerY = playerY;
}
function checkCollisions() {
if (
playerX < blueSquareX + blueSquareSize &&
playerX + playerSize > blueSquareX &&
playerY < blueSquareY + blueSquareSize &&
playerY + playerSize > blueSquareY
) {
pinkSquare.x = playerX;
pinkSquare.y = playerY;
pinkSquare.isInvincible = true;
pinkSquare.invincibilityTimer = 10;
blueSquareX = -100;
blueSquareY = -100;
playerX = pinkSquare.x;
playerY = pinkSquare.y;
isInvincible = true;
draw();
}
const donkeyKongX = canvas.width - 100 - 60;
const donkeyKongY = 90;
if (
pinkSquare.x < donkeyKongX + 60 &&
pinkSquare.x + pinkSquare.size > donkeyKongX &&
pinkSquare.y < donkeyKongY + 60 &&
pinkSquare.y + pinkSquare.size > donkeyKongY
) {
if (level === 1) {
isDonkeyKongVisible = false;
console.log("Donkey Kong has been defeated!");
} else if (level >= 2) {
isDonkeyKongVisible = true;
console.log("Donkey Kong has reappeared!");
}
}
for (let i = 0; i < greenRectangles.length; i++) {
const rectangle = greenRectangles[i];
if (
playerX < rectangle.x + 40 &&
playerX + playerSize > rectangle.x &&
playerY < rectangle.y + 40 &&
playerY + playerSize > rectangle.y
) {
if (isInvincible) {
score += 100;
greenRectangles.splice(i, 1);
i--;
} else {
lives--;
if (lives <= 0) {
resetGame();
} else {
resetPlayerPosition();
}
}
break;
}
}
}
function resetPlayerPosition() {
playerX = 0;
playerY = canvas.height - playerSize - 50;
currentLayer = 0;
isOnLadder = false;
jumpsLeft = 2;
if (level === 2 || level === 3 || level === 4) {
playerX = canvas.width - playerSize - 80;
playerY = canvas.height - playerSize - 50;
}
}
function resetGame() {
resetPlayerPosition();
lives = 3;
level = 1;
}
function startCountdown() {
const countdownInterval = setInterval(() => {
countdown++;
draw();
if (gameOver) {
clearInterval(countdownInterval);
}
}, 1000);
}
startCountdown();
setTimeout(() => {
document.addEventListener('keydown', function(event) {
if (!isJumping) {
if (event.key === 'ArrowLeft' && playerX > 0) {
movePlayer('left');
} else if (event.key === 'ArrowRight' && playerX + playerSize < canvas.width) {
movePlayer('right');
} else if (event.key === 'ArrowUp') {
climbUp();
} else if (event.key === 'ArrowDown') {
climbDown();
}
}
if (event.key === ' ') {
jump();
}
checkCollisions();
checkLevelTransition();
draw();
});
}, 15);
function randomSpawnTime(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
function spawnGreenRectangle() {
let minInterval, maxInterval;
if (level === 1) {
minInterval = 1500;
maxInterval = 4500;
} else if (level === 2 || level === 3 || level === 4) {
minInterval = 999;
maxInterval = 1999;
}
const randomInterval = randomSpawnTime(minInterval, maxInterval);
generateGreenRectangle();
draw();
setTimeout(spawnGreenRectangle, randomInterval);
}
spawnGreenRectangle();
setInterval(() => {
greenRectangles.forEach(moveGreenRectangle);
checkCollisions();
draw();
if (isInvincible && invincibilityTimer > 0) {
invincibilityTimer--;
if (invincibilityTimer === 0) {
isInvincible = false;
playerX = 0;
playerY = canvas.height - playerSize - 50;
isOnLadder = false;
jumpsLeft = 2;
currentLayer = 0;
draw();
}
}
function hidePinkSquareAfterDelay() {
setTimeout(() => {
isPinkSquareVisible = false;
}, 10000);
}
if (level === 1 && score >= 300) {
isPinkSquareVisible = false;
isInvincible = false;
score = 300;
}
}, 30);
if (score >= 300) {
isPinkSquareVisible = false;
isInvincible = false;
}
function checkLevelTransition() {
if (
(playerX < purpleSquareX + purpleSquareSize &&
playerX + playerSize > purpleSquareX &&
playerY < purpleSquareY + purpleSquareSize &&
playerY + playerSize > purpleSquareY) ||
(pinkSquare.x < purpleSquareX + purpleSquareSize &&
pinkSquare.x + pinkSquare.size > purpleSquareX &&
pinkSquare.y < purpleSquareY + purpleSquareSize &&
pinkSquare.y + pinkSquare.size > purpleSquareY)
) {
level++;
resetGameStatesForNextLevel();
logAndStore(`After level ${level - 1}`);
}
const maxScores = [300, 600, 800, 1200];
function checkLevelTransition() {
if (
(playerX < purpleSquareX + purpleSquareSize &&
playerX + playerSize > purpleSquareX &&
playerY < purpleSquareY + purpleSquareSize &&
playerY + playerSize > purpleSquareY) ||
(pinkSquare.x < purpleSquareX + purpleSquareSize &&
pinkSquare.x + pinkSquare.size > purpleSquareX &&
pinkSquare.y < purpleSquareY + purpleSquareSize &&
pinkSquare.y + pinkSquare.size > purpleSquareY)
) {
level++;
resetGameStatesForNextLevel();
logAndStore(`Transitioned to level ${level} after reaching the purple square.`);
}
if (level === 1 && score >= 300) {
isPinkSquareVisible = false;
isInvincible = false;
score = 300;
} else if (level === 2 && score >= 600) {
isPinkSquareVisible = false;
isInvincible = false;
score = 600;
} else if (level === 3 && score >= 900) {
isPinkSquareVisible = false;
isInvincible = false;
score = 900;
} else if (level === 4 && score >= 1200) {
isPinkSquareVisible = false;
isInvincible = false;
score = 1200;
}
}
setInterval(checkLevelTransition, 1000 / 60);
}
function resetGameStatesForNextLevel() {
resetPlayerPosition();
isPinkSquareVisible = true;
isInvincible = false;
}
function resetPlayerPosition() {
if (level === 1) {
playerX = 0;
playerY = canvas.height - playerSize - 50;
} else if (level === 2) {
playerX = canvas.width - playerSize - 80;
playerY = canvas.height - playerSize - 50;
} else if (level === 3 || level === 4) {
playerX = canvas.width - playerSize - 80;
playerY = canvas.height - playerSize - 50;
}
currentLayer = 0;
isOnLadder = false;
jumpsLeft = 2;
}
}); ineed help with my games, its like donkey kong, i need the player "whitesquare" to be player.png image instead
|
73f14bafb527129149990cbfc9e8f86f
|
{
"intermediate": 0.3147895932197571,
"beginner": 0.5011101961135864,
"expert": 0.1841002106666565
}
|
41,688
|
hello
|
389033521144b7f393f78df4e0adf86a
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
41,689
|
Sabes cual es el reproductor de filmaffinity? Pues quiero que conviertas este reproductor, en ese:
.dooplay_player .play {
position:relative;
float:left;
width:100%;
margin:0;
padding:0;
background-color:#333;
/* solo para visualización */ height:100%
}
|
368c8cd2c14c2f4caeff7e7408741eb7
|
{
"intermediate": 0.3565560281276703,
"beginner": 0.2691497504711151,
"expert": 0.374294251203537
}
|
41,690
|
Design the accurate architecture of exoplanetary systems
|
4157eb7b256cc3cab4554b9853639f50
|
{
"intermediate": 0.20531964302062988,
"beginner": 0.1785612553358078,
"expert": 0.6161190867424011
}
|
41,691
|
I'm tyring to recursively search thoruhg a json object in JS. I need to know if the next object is a JSON object and thus I need to pass it into the recursive function for searching, and I need to ensure it's not a string or int or anything that isn't a JSON object
|
f250f73f841f2479f23163e3aa9011dc
|
{
"intermediate": 0.6896625757217407,
"beginner": 0.11596572399139404,
"expert": 0.19437173008918762
}
|
41,692
|
I'm tyring to recursively search thoruhg a json object in JS. I need to know if the next object is a JSON object and thus I need to pass it into the recursive function for searching, and I need to ensure it's not a string or int or anything that isn't a JSON object
|
4bddfc8452ed21e683c06131b5bed04b
|
{
"intermediate": 0.6896625757217407,
"beginner": 0.11596572399139404,
"expert": 0.19437173008918762
}
|
41,693
|
Example for design the accurate architecture of exoplanetary system
Key: Number. Planetary type/Radius km/Distance AU from star
Star: 1 Solar mass, 1 Solar radius, 5778 Kelvin
System 1:
1. Rocky/2373 km/0.05 AU
2. Rocky/3311 km/0.11 AU
3. Rocky/6901 km/0.58 AU
4. Rocky/1203 km/0.67 AU
5. Rocky/7903 km/0.79 AU
6. Land-sea/6258 km/0.99 AU
7. Desert/5672 km/1.32 AU
8. Ice/6970 km/3.02 AU
9. Jovian/57893 km/6.22 AU
10. Jovian/84390 km/9.46 AU
11. Jovian/32585 km/14.1 AU
12. Jovian/57004 km/25.77 AU
13. Jovian/74103 km/38.41 AU
System 2:
1. Rocky/5421 km/0.33 AU
2. Rocky/5089 km/0.58 AU
3. Desert/6225 km/0.63 AU
4. Desert/4268 km/0.72 AU
5. Land-sea/6349 km/1.08 AU
6. Land-sea/6799 km/1.25 AU
7. Rocky/1064 km/1.75 AU
8. Rocky/860 km/3.21 AU
9. Jovian/71405 km/6 AU
10. Jovian/60138 km/10.5 AU
11. Ice/9817 km/12.37 AU
12. Jovian/23670 km/19.95 AU
13. Jovian/84250 km/37.3 AU
14. Jovian/47891 km/48.47 AU
|
5639cbe7e558495df07345e06a03bd3f
|
{
"intermediate": 0.2727664113044739,
"beginner": 0.34087949991226196,
"expert": 0.38635408878326416
}
|
41,694
|
Example for design the accurate architecture of exoplanetary system
Key: Number. Planetary type/Radius km/Distance AU from star
Star: 1 Solar mass, 1 Solar radius, 5778 Kelvin
System 1:
1. Rocky/2373 km/0.05 AU
2. Rocky/3311 km/0.11 AU
3. Rocky/6901 km/0.58 AU
4. Rocky/1203 km/0.67 AU
5. Rocky/7903 km/0.79 AU
6. Land-sea/6258 km/0.99 AU
7. Desert/5672 km/1.32 AU
8. Ice/6970 km/3.02 AU
9. Jovian/57893 km/6.22 AU
10. Jovian/84390 km/9.46 AU
11. Jovian/32585 km/14.1 AU
12. Jovian/57004 km/25.77 AU
13. Jovian/74103 km/38.41 AU
System 2:
1. Rocky/5421 km/0.33 AU
2. Rocky/5089 km/0.58 AU
3. Venusian/6225 km/0.63 AU
4. Venusian/4268 km/0.72 AU
5. Land-sea/6349 km/1.08 AU
6. Land-sea/6799 km/1.25 AU
7. Rocky/1064 km/1.75 AU
8. Rocky/860 km/3.21 AU
9. Jovian/71405 km/6 AU
10. Jovian/60138 km/10.5 AU
11. Ice/9817 km/12.37 AU
12. Jovian/23670 km/19.95 AU
13. Jovian/84250 km/37.3 AU
14. Jovian/47891 km/48.47 AU
System 3:
1. Rocky/1196 km/0.16 AU
2. Rocky/3268 km/0.3 AU
3. Venusian/5678 km/0.63 AU
4. Land-sea/6369 km/0.84 AU
5. Desert/4679 km/1.31 AU
6. Asteroid belt/1.95 AU
7. Rocky/5107 km/2.85 AU
8. Land-ammonia sea/6025 km/4.72 AU
9. Jovian/65690 km/7.17 AU
10. Jovian/71004 km/14.22 AU
11. Jovian/42581 km/27.01 AU
12. Jovian/17808 km/37.27 AU
13. Ice/8520 km/45.88 AU
|
d4745d89c65c54ae25b87f10e6c1db6b
|
{
"intermediate": 0.305171400308609,
"beginner": 0.242141991853714,
"expert": 0.4526866376399994
}
|
41,695
|
Help me, is this C++ SDL based game engine code good or could it be improved?
void Renderer::Render(const IDrawable& drawable, const Color& color)
{
Color oldColor = GetDrawColor();
if (oldColor != color)
{
SetDrawColor(color);
}
drawable.Render(*this);
Present();
if (oldColor != color)
{
SetDrawColor(oldColor);
}
}
|
ccdccb8094c5317e7f9ea5c5b8f8b739
|
{
"intermediate": 0.4895811676979065,
"beginner": 0.3742333948612213,
"expert": 0.1361854523420334
}
|
41,696
|
File "/home/ac1d/Documents/myprojects/tgspambot/tgspam.py", line 1, in <module>
from telegram.ext import Updater, CommandHandler
File "/home/ac1d/.local/lib/python3.10/site-packages/telegram/ext/__init__.py", line 64, in <module>
from . import filters
File "/home/ac1d/.local/lib/python3.10/site-packages/telegram/ext/filters.py", line 121, in <module>
from telegram import Chat as TGChat
ImportError: cannot import name 'Chat' from 'telegram' (/home/ac1d/.local/lib/python3.10/site-packages/telegram/__init__.py)
|
620ad17a6971ca0d1e1fc0fcccb16dbc
|
{
"intermediate": 0.404405802488327,
"beginner": 0.35635802149772644,
"expert": 0.23923614621162415
}
|
41,697
|
heisenberg
|
1abbddf3c3f542003f9d72d892fc7b82
|
{
"intermediate": 0.3718204200267792,
"beginner": 0.40058600902557373,
"expert": 0.2275935262441635
}
|
41,698
|
How different is Android Java app development from makimg an app for IOS?
|
377dfaf4b1d23fc9e276e334dd51e592
|
{
"intermediate": 0.5294690728187561,
"beginner": 0.2603000998497009,
"expert": 0.21023079752922058
}
|
41,699
|
Create roblox luau bus announcements system
|
fb021ab413eb461b0c91c548ad391f66
|
{
"intermediate": 0.3858947157859802,
"beginner": 0.2753657102584839,
"expert": 0.3387395739555359
}
|
41,700
|
Create Roblox luau advanced bus announcements system
|
b39c920d58c73c48912eeebb77c8680e
|
{
"intermediate": 0.30493298172950745,
"beginner": 0.19433578848838806,
"expert": 0.5007312297821045
}
|
41,701
|
Create roblox luau annocuments system for buses.
|
5a84a52776fcfa8ad48b19046d68ef62
|
{
"intermediate": 0.31788116693496704,
"beginner": 0.229152649641037,
"expert": 0.45296627283096313
}
|
41,702
|
<text="#ee82ee"></text="#ee82ee">
|
9a23fe1549b81ebdc6d7c5e76e1b190e
|
{
"intermediate": 0.2910299301147461,
"beginner": 0.2860408425331116,
"expert": 0.4229292571544647
}
|
41,703
|
Why I should consider use Data-driven design instead of OOP? Are two concepts that lie on the same conceptual layer?
|
9c1306baa2733e843f3661ec044c2870
|
{
"intermediate": 0.29125577211380005,
"beginner": 0.1586555391550064,
"expert": 0.55008864402771
}
|
41,704
|
# read and combine the data
def combine_data(folder_path:str)-> pd.DataFrame:
# find dev and val csv files
dataset_type = ['dev', 'val']
for type in dataset_type:
if file.endswith(f'{type}.csv'):
csv_files = [file for file in os.listdir(folder_path)]
# combine all data in the dataframe
dfs = []
for file in csv_files:
file_path = os.path.join(folder_path, file)
df = pd.read_csv(file_path, names=['text', 'A', 'B', 'C', 'D', 'answer'])
print(file_path, len(df))
dfs.append(df)
combined_df = pd.concat(dfs, ignore_index=True)
return combined_df
以上代码有什么问题
|
6315b29a87034981e1241f91a695b4ff
|
{
"intermediate": 0.49357011914253235,
"beginner": 0.24565382301807404,
"expert": 0.2607761025428772
}
|
41,705
|
Cand you add a cooldown time for the card, so it cannot activate until cooldown is finished
using System.Collections;
using System.Threading.Tasks;
using Game.Systems;
using UnityEngine;
namespace Cards
{
public class CombatCard : CardBase
{
[SerializeField] private GameObject disabledPanel;
[SerializeField] private float coolDownTime = 5f;
public bool Disabled;
private CombatPlacer objectPlacer;
private BattleHandController handController;
private GameManager gameManager;
public override void Init(int turn)
{
base.Init(turn);
this.objectPlacer = GameManager.Instance.BattleCardController.CombatPlacer;
this.handController = GameManager.Instance.BattleCardController.battleHandController;
}
private void Start()
{
disabledPanel.SetActive(false);
disabled = false;
}
private void Update()
{
}
public override async Task ActivateCard()
{
//Activate cooldown and cannot perform action until cooldown is finished
await base.ActivateCard();
GameManager.Instance.BattleCardController.battleHandController.Active = true;
objectPlacer.Setup(prefab, this);
}
public override void Discard()
{
}
}
}
|
30c1118566ee371a4c884552c088c4d4
|
{
"intermediate": 0.4127920866012573,
"beginner": 0.400520920753479,
"expert": 0.18668703734874725
}
|
41,706
|
Edit this luau roblox script
script.Parent.Touched:Connect(function(Part)
if Part.Name == "LesnoGorne" and script.Parent.Parent.sterownik.Dest.Value ~= "4000" then
script.Parent.Parent.MainSign.SurfaceGui.TextLabel.Text = ("LesnoGorne")
script.Parent.Parent.bussensor.Sound.LesnoGorne:Play()
elseif Part.Name == "Zalesie" and script.Parent.Parent.sterownik.Dest.Value ~= "4000" then
script.Parent.Parent.MainSign.SurfaceGui.TextLabel.Text = ("Zalesie")
script.Parent.Parent.bussensor.Sound.Zalesie:Play()
end
end)
|
6d2b4b461525d8f8057dfb3fda8ddc97
|
{
"intermediate": 0.3475215435028076,
"beginner": 0.3675593435764313,
"expert": 0.2849191129207611
}
|
41,707
|
Create roblox luau script bus annocument system.
|
562a199111b421cae3e1ed5b76b6d1ee
|
{
"intermediate": 0.5577409267425537,
"beginner": 0.215129092335701,
"expert": 0.2271299660205841
}
|
41,708
|
local part = script.Parent
part.Touched:Connect(function(Hit)
if Hit.Parent:FindFirstChild("Humanoid") ~= nil then
local sound = script.Parent.Soundname
if not sound.IsPlaying then
sound:Play()
end
end
end)
change script to part not player
|
572f452af35b9d74f32d06c65bd965ca
|
{
"intermediate": 0.34995946288108826,
"beginner": 0.40817373991012573,
"expert": 0.2418668270111084
}
|
41,709
|
I have an aviation headset I would like to do some modifications to to increase music quality. Ive prototyped them on a headset of the same model. However, I don't want the modifications to change the existing quality for radio communications. The speakers are connected in mono by default from the manufacturer, with the ground and data going to both speakers over the same wire. The modifications I want to do involve adding a stereo audio aux connector, adding a new wire to have stereo audio for music, and a capasitor in parallel with each of the two speakers. I don't want the capacitors to influence the normal radio mono operations, but I do want them to affect the stereo operations, which will be happening at the same time. I also don't want the wire used for mono to carry data from the left stereo speaker to the right.
|
a70fbe392df2c798923b432ded30bea5
|
{
"intermediate": 0.3117730915546417,
"beginner": 0.3074629604816437,
"expert": 0.3807639479637146
}
|
41,710
|
What Would The 1974, 1976, And 1979 Versions of An Sci-fi Film Scene Where The Protagonist Uses An Neuralyzer-Like Device To An Memory Of An Random Person Who Has Seen An Ailen Look like In Detail (Plus Dialogue)?
|
7c1f3d0a87b528aa4412e8513e0a4f08
|
{
"intermediate": 0.25473472476005554,
"beginner": 0.2191222608089447,
"expert": 0.5261430144309998
}
|
41,711
|
f(n)=n+2,g(n)=n2,
assume that f(n) = O(g(n)), find n(0) and c
|
fd1ba6e7d869bbfc9d868a7604079721
|
{
"intermediate": 0.2826683223247528,
"beginner": 0.40485504269599915,
"expert": 0.31247663497924805
}
|
41,712
|
I have two tables - one table is called which has unique values like cust_num, and acct_num and the date when account is opened (open_date).
Then I have another table called MCB table which has cust_num, status and snapshot date.
How do I join both tables that I only pulled the status the time of acct_num opened from sale table.
sales table has no multiple rows of same cust_num, it just mcb table which has multiple records for same customer because the ststus changes.
I would like to get the status from MCB which correspond to the opendate like what was the status of the customer at the time of account open in sales table.
Make sure how to handle if there is a cust_num in sales does not have data in MCB table.
Also to note that I need a query in HIVE SQL:
Here is the sales table:
cust_num acct_num open_date
123abcd789 546787123 1/5/2023
785bdef234 578541216 2/20/2023
546weyt548 213054623 3/21/2023
987wyte412 702598124 3/21/2023
762wwer880 675478953 3/27/2023
here is the mcb table:
cust_num status snapshot_date
123abcd789 student 1/3/2023
123abcd789 PR 1/4/2023
123abcd789 student 1/5/2023
123abcd789 worker 1/6/2023
785bdef234 student 2/18/2023
785bdef234 student 2/19/2023
785bdef234 worker 2/20/2023
785bdef234 worker 2/21/2023
785bdef234 PR 2/22/2023
546weyt548 student 3/17/2023
546weyt548 student 3/18/2023
546weyt548 student 3/19/2023
546weyt548 student 3/20/2023
546weyt548 worker 3/21/2023
546weyt548 worker 3/22/2023
546weyt548 PR 3/23/2023
546weyt548 PR 3/24/2023
546weyt548 PR 3/25/2023
762wwer880 student 3/21/2023
762wwer880 student 3/22/2023
762wwer880 student 3/23/2023
762wwer880 student 3/24/2023
762wwer880 student 3/25/2023
762wwer880 PR 3/26/2023
762wwer880 PR 3/27/2023
762wwer880 worker 3/28/2023
762wwer880 worker 3/29/2023
762wwer880 worker 3/30/2023
|
0962d39db7e3cac026e01d53809cc032
|
{
"intermediate": 0.44563812017440796,
"beginner": 0.22728858888149261,
"expert": 0.32707324624061584
}
|
41,713
|
sửa lỗi load 2 lần trong list view windowform
|
31fb332dd8b47980557b4f51fca4bb7a
|
{
"intermediate": 0.32440003752708435,
"beginner": 0.3226531147956848,
"expert": 0.3529468774795532
}
|
41,714
|
ok so I have two tables - one table is called which has unique values like cust_num, and acct_num and the date when account is opened (open_date).
Then I have another table called MCB table which has cust_num, status and snapshot date.
How do I join both tables that I only pulled the status the time of acct_num opened from sale table.
sales table has no multiple rows of same cust_num, it just mcb table which has multiple records for same customer because the ststus changes.
I would like to get the status from MCB which correspond to the opendate like what was the status of the customer at the time of account open in sales table.
Make sure how to handle if there is a cust_num in sales does not have data in MCB table.
Also to note that I need a query in HIVE SQL:
I want the single most recent status of each customer up to the open_date, not just the latest date for each status value.
Here is the sales table:
cust_num acct_num open_date
123abcd789 546787123 1/5/2023
785bdef234 578541216 2/20/2023
546weyt548 213054623 3/21/2023
987wyte412 702598124 3/21/2023
762wwer880 675478953 3/27/2023
here is the mcb table:
cust_num status snapshot_date
123abcd789 student 1/3/2023
123abcd789 PR 1/4/2023
123abcd789 student 1/5/2023
123abcd789 worker 1/6/2023
785bdef234 student 2/18/2023
785bdef234 student 2/19/2023
785bdef234 worker 2/20/2023
785bdef234 worker 2/21/2023
785bdef234 PR 2/22/2023
546weyt548 student 3/17/2023
546weyt548 student 3/18/2023
546weyt548 student 3/19/2023
546weyt548 student 3/20/2023
546weyt548 worker 3/21/2023
546weyt548 worker 3/22/2023
546weyt548 PR 3/23/2023
546weyt548 PR 3/24/2023
546weyt548 PR 3/25/2023
762wwer880 student 3/21/2023
762wwer880 student 3/22/2023
762wwer880 student 3/23/2023
762wwer880 student 3/24/2023
762wwer880 student 3/25/2023
762wwer880 PR 3/26/2023
762wwer880 PR 3/27/2023
762wwer880 worker 3/28/2023
762wwer880 worker 3/29/2023
762wwer880 worker 3/30/2023
|
bec326574dcb77b1b847a4f7a3a1dc07
|
{
"intermediate": 0.40411895513534546,
"beginner": 0.22592325508594513,
"expert": 0.3699578046798706
}
|
41,715
|
@book{hamilton2020time,
title={Time series analysis},
author={Hamilton, James D},
year={2020},
publisher={Princeton university press}
} please help me to write it as a bibitem
|
461c2bedbedcd15f21ac86474bdc3c69
|
{
"intermediate": 0.2458822876214981,
"beginner": 0.4060192108154297,
"expert": 0.3480984568595886
}
|
41,716
|
Error occurred when executing KSampler:
'UNetModel' object has no attribute 'default_image_only_indicator'
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\nodes.py", line 1368, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\nodes.py", line 1338, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 241, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\sample.py", line 100, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\samplers.py", line 703, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\samplers.py", line 608, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\samplers.py", line 547, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\k_diffusion\sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\samplers.py", line 285, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\samplers.py", line 272, in forward
return self.apply_model(*args, **kwargs)
File "E:\ComfyUI-aki\ComfyUI-aki-v1.2\ComfyUI-aki-v1.2\comfy\samplers.py", line 269, in apply_model 这是什么错误
|
2120ec94271473400a07192dab2641d4
|
{
"intermediate": 0.31749242544174194,
"beginner": 0.4029655158519745,
"expert": 0.27954211831092834
}
|
41,717
|
What are the limitations of Cohen-Sutherland algorithm? A clipping window ABCD
is specified as A(0, 0), B(40, 0), C(40, 40), D(0, 40). We want to clip two lines P(-
20,70) Q(20,30) and R(50,10) S(70,70) against window. Use the end point codes of
the lines to find out if the lines are totally invisible or partially visible. Use a Cohen-
Sutherland line clipping algorithm to find visible portions of the lines.
|
e7fa9154361f8cf3764c36656f889838
|
{
"intermediate": 0.16725055873394012,
"beginner": 0.10687824338674545,
"expert": 0.725871205329895
}
|
41,718
|
What’s tcp_reordering_max?
|
f428670945baa512b33bd45f0df495d9
|
{
"intermediate": 0.3259369730949402,
"beginner": 0.21117529273033142,
"expert": 0.4628877341747284
}
|
41,719
|
@book{brockwell1991time,
title={Time series: theory and methods},
author={Brockwell, Peter J and Davis, Richard A},
year={1991},
publisher={Springer science & business media}
} please help me to write it as a bibitem
|
2a31e4443c8e9544f0cbb52dc6da3907
|
{
"intermediate": 0.23667477071285248,
"beginner": 0.3490256667137146,
"expert": 0.4142995774745941
}
|
41,720
|
@book{chatfield2013analysis,
title={The analysis of time series: theory and practice},
author={Chatfield, Christopher},
year={2013},
publisher={Springer}
} please help me to write it as a bibitem
|
86850b222ad53fc7cd387928c9bae3d3
|
{
"intermediate": 0.29143038392066956,
"beginner": 0.3631966710090637,
"expert": 0.34537291526794434
}
|
41,721
|
@article{buhlmann2002bootstraps,
title={Bootstraps for time series},
author={B{\"u}hlmann, Peter},
journal={Statistical science},
pages={52--72},
year={2002},
publisher={JSTOR}
} please help me to write it as bibitem
|
12baa5e86e676b0c35563c75aee04c40
|
{
"intermediate": 0.2601771950721741,
"beginner": 0.41087606549263,
"expert": 0.3289467692375183
}
|
41,722
|
@article{buhlmann2002bootstraps,
title={Bootstraps for time series},
author={B{\"u}hlmann, Peter},
journal={Statistical science},
pages={52--72},
year={2002},
publisher={JSTOR}
} please help me to write it as a bibitem
|
02d54f2fb1cbe1b9c4796bcc174d7e9f
|
{
"intermediate": 0.24621926248073578,
"beginner": 0.4591531455516815,
"expert": 0.2946275770664215
}
|
41,723
|
@article{safin2017conformal,
title={Conformal kernel expected similarity for anomaly detection in time-series data},
author={Safin, Aleksandr Maratovich and Burnaev, Evgeny},
journal={Advances in Systems Science and Applications},
volume={17},
number={3},
pages={22–33},
year={2017}
} please help me to write it as a bibitem
|
b8d6b048f862032f49572205d28fd7d9
|
{
"intermediate": 0.0995669737458229,
"beginner": 0.15321466326713562,
"expert": 0.7472183704376221
}
|
41,724
|
@article{safin2017conformal,
title={Conformal kernel expected similarity for anomaly detection in time-series data},
author={Safin, Aleksandr Maratovich and Burnaev, Evgeny},
journal={Advances in Systems Science and Applications},
volume={17},
number={3},
pages={22–33},
year={2017}
} please help me to write it as a bibitem
|
9178eb45a3481e516ec0a7fdf9295cde
|
{
"intermediate": 0.0995669737458229,
"beginner": 0.15321466326713562,
"expert": 0.7472183704376221
}
|
41,725
|
@article{safin2017conformal,
title={Conformal kernel expected similarity for anomaly detection in time-series data},
author={Safin, Aleksandr Maratovich and Burnaev, Evgeny},
journal={Advances in Systems Science and Applications},
volume={17},
number={3},
pages={22–33},
year={2017}
} please help me to write it as a bibitem
|
1892f497812425e08f6f4721e8ffc60f
|
{
"intermediate": 0.0995669737458229,
"beginner": 0.15321466326713562,
"expert": 0.7472183704376221
}
|
41,726
|
@article{safin2017conformal,
title={Conformal kernel expected similarity for anomaly detection in time-series data},
author={Safin, Aleksandr Maratovich and Burnaev, Evgeny},
journal={Advances in Systems Science and Applications},
volume={17},
number={3},
pages={22–33},
year={2017}
} please help me to write it as a bibitem
|
2073e22d2bfd393a1b65180575455368
|
{
"intermediate": 0.0995669737458229,
"beginner": 0.15321466326713562,
"expert": 0.7472183704376221
}
|
41,727
|
@article{ahmad2016real,
title={Real-time anomaly detection for streaming analytics},
author={Ahmad, Subutai and Purdy, Scott},
journal={arXiv preprint arXiv:1607.02480},
year={2016}
} please help me to write it as bibitem
|
bb11dcdcc02f4c50fc71751261f1d63e
|
{
"intermediate": 0.10937855392694473,
"beginner": 0.25910162925720215,
"expert": 0.6315198540687561
}
|
41,728
|
811778,2019-12-07 10:55:06,676173792455,fraud_Zieme, Bode and Dooley,gas_transport,86.19,Brittany,Cox,F,07177 William Dale Apt. 547,Santa Monica,CA,90403,34.0287,-118.4924,92043,Civil engineer, contracting,1961-04-25,f32d1f4b2a918f4c2f6acdc83033ee35,1354877706,33.287851,-118.74097,0
1101718,2020-04-03 13:10:06,30518206766474,fraud_Lind-Buckridge,entertainment,85.81,Tamara,Martinez,F,471 Marquez Prairie Suite 680,Matthews,MO,63867,36.7154,-89.6287,1019,Aeronautical engineer,1979-01-26,f5dad8e2d7c39d81502d846a20286659,1364994606,36.53995,-89.857416,0
800013,2019-12-04 07:07:04,4658490815480264,fraud_Hackett-Lueilwitz,grocery_pos,99.3,Tara,Richards,F,4879 Cristina Station,Keisterville,PA,15449,39.9636,-79.7853,184,Systems developer,1945-11-04,1d023bc78ab93ab65a35bbb53bcc67bd,1354604824,39.582872,-78.83855,0
398945,2019-06-30 18:43:08,4716561796955522,fraud_Lynch-Wisozk,home,42.09,Lauren,Anderson,F,11014 Chad Lake Apt. 573,Heart Butte,MT,59448,48.2777,-112.8456,743,Water engineer,1972-05-04,dbf6c06d3277438afdf7af883fb4285f,1341081788,48.310513,-112.837535,0
207455,2019-04-15 19:57:49,3528407217576457,fraud_Fisher-Schowalter,shopping_net,4.24,Patricia,Leach,F,71309 Martinez Stravenue,Kingsport,TN,37663,36.4715,-82.4834,87124,Warden/ranger,1987-02-14,88814660aba0101b174e1e8137f4a7af,1334519869,37.329094,-82.070746,0
564452,2019-08-28 11:18:46,4855488158131690372,fraud_Christiansen, Goyette and Schamberger,gas_transport,72.75,Jeremy,Roberson,M,25887 Martin Inlet,Graniteville,VT,5654,44.1554,-72.4847,970,Agricultural consultant,1993-09-29,484eff81bd47131f12977154047c4a60,1346152726,43.168748,-72.740002,0
347018,2019-06-12 06:05:00,4979422371139333,fraud_Watsica, Haag and Considine,shopping_pos,7.87,Kelly,Zimmerman,F,1893 Katie Tunnel,Westerville,NE,68881,41.4193,-99.3844,73,Product designer,1935-02-10,671655ebb10aa252a395c71c0bcbf2ef,1339481100,41.528425,-99.368091,0
245997,2019-05-03 16:49:24,5456776410929288,fraud_Metz, Russel and Metz,kids_pets,5.53,Taylor,Khan,F,658 Diane Glen Apt. 677,North Washington,PA,16048,41.0472,-79.8089,139,Patent attorney,1954-05-25,997e7001922aefa064ff3459b7b6035c,1336063764,40.146899,-79.386339,0
213552,2019-04-19 08:44:18,4469777115158234880,fraud_Schmitt Inc,gas_transport,89.91,Gregory,Graham,M,4005 Dana Glens,Methuen,MA,1844,42.728,-71.181,47249,Market researcher,1980-11-22,fa46dc8800a0c7bceb55bcd3dae092fb,1334825058,42.404258,-71.19688000000001,0
156002,2019-03-24 14:33:19,30266994494236,fraud_Hettinger, McCullough and Fay,home,38.72,Sarah,Foster,F,77872 Andrea Glen Apt. 543,Ford,VA,23850,37.1349,-77.7364,1051,Chief Operating Officer,1976-11-21,b3b79a57a261a38299415613aef7e30a,1332599599,36.26155,-78.176857,0
132116,2019-03-13 23:56:25,30434173205605,fraud_Cummerata-Hilpert,entertainment,24.82,Kylie,Kirby,F,79816 Jackson Squares,Shedd,OR,97377,44.453,-123.1065,917,Radio broadcast assistant,1995-07-08,10ffbae98c0f7358f50224646a660ce0,1331682985,44.051771,-123.153621,0
245471,2019-05-03 10:24:50,4259996134423,fraud_Hermann and Sons,shopping_pos,2.64,Julie,Johnson,F,9331 Robert Passage Suite 327,Hudson,KS,67545,38.1485,-98.6408,215,Probation officer,1968-11-22,03a260ef2d73599c774a6cb6a5b13456,1336040690,38.699669,-98.605815,0
371279,2019-06-21 05:48:06,3558652751678952,fraud_Bahringer-Streich,food_dining,43.09,Teresa,Blankenship,F,6638 Lucero Mill Suite 952,Karnack,TX,75661,32.6205,-94.2,2807,Chiropodist,1931-01-26,ac1b74685e9b8758154100ac9961449c,1340257686,32.289998,-93.84484,0
574032,2019-09-01 00:31:34,4149238353975790,fraud_Zboncak, Rowe and Murazik,shopping_net,99.9,Tanner,Carroll,M,494 Burke Ports,Cokeburg,PA,15324,40.1008,-80.0652,632,Dealer,1989-04-08,6446fa9fe9b426ec0114f7547bc109dc,1346459494,39.468111,-80.462964,0
1238238,2020-05-31 19:34:34,4629451965224809,fraud_Kovacek Ltd,travel,1.18,Karen,Warren,F,4900 Curtis Gardens Suite 952,Hahira,GA,31632,30.9416,-83.3574,10295,Teacher, special educational needs,1997-12-26,487132ca15bcf349e3217f22147260b1,1370028874,31.403540000000003,-82.737288,0
1046452,2020-03-09 22:25:21,38057513087029,fraud_Dibbert-Green,entertainment,47.64,Marissa,Clark,F,2677 Byrd Village Suite 035,San Jose,CA,95148,37.3304,-121.7913,973849,Geoscientist,1997-01-18,831f310a491af1e559729795488a5d2e,1362867921,38.170002,-121.50991299999998,0
1199703,2020-05-16 21:34:47,4464457352619,fraud_Bins-Howell,personal_care,5.39,Breanna,Rodriguez,F,118 Cabrera Springs Apt. 105,Lanark Village,FL,32323,29.8826,-84.5964,217,Television production assistant,1990-01-24,c33f937520c6ccffce5d7481d3624fc4,1368740087,29.187751,-85.202066,0
1237624,2020-05-31 16:06:37,4560395181594436016,fraud_Bradtke, Torp and Bahringer,personal_care,23.78,Angela,Taylor,F,6343 Ramirez Skyway Apt. 518,Lakeport,CA,95453,39.047,-122.9328,11256,Podiatrist,1972-10-18,9967b09f2e5795404a148a5e06d4fa2d,1370016397,39.898946,-122.01176,0
1055426,2020-03-14 08:38:41,5501083170975659,fraud_Prohaska-Murray,gas_transport,73.62,Wayne,Payne,M,587 Bradley Inlet Suite 281,Cuyahoga Falls,OH,44223,41.1464,-81.5107,47772,Equities trader,1966-01-04,201b99bc257471d251229dcb67d3b977,1363250321,40.533255,-81.495937,0
574658,2019-09-01 05:10:32,180065479077096,fraud_Dickinson Ltd,misc_pos,3.34,Krystal,Gamble,F,47152 Clayton Burg,Manchester,MD,21102,39.6747,-76.8941,11751,Clinical research associate,1964-02-15,41b6f59aa546c2be3aa242ad7428303a,1346476232,39.5448,-77.673233,0
706982,2019-10-28 15:11:03,4364010865167176,fraud_Breitenberg-Hermiston,kids_pets,32.11,Gary,Martinez,M,03512 Jackson Ports,Reno,NV,89512,39.5483,-119.7957,276896,Immunologist,1997-03-12,3e8c3f32cad2dfbe5ea5c6c57fb4800b,1351437063,39.372921000000005,-120.385858,0
502007,2019-08-05 20:44:33,4855488158131690372,fraud_Waelchi-Wolf,kids_pets,42.32,Jeremy,Roberson,M,25887 Martin Inlet,Graniteville,VT,5654,44.1554,-72.4847,970,Agricultural consultant,1993-09-29,de8f1f8d60a8a2bcc7b9da69d353b265,1344199473,43.371907,-71.490868,0
365517,2019-06-18 12:45:26,213112402583773,fraud_Towne, Greenholt and Koepp,shopping_net,8.83,Ana,Howell,F,4664 Sanchez Common Suite 930,Bradley,SC,29819,34.0326,-82.2027,1523,Research scientist (physical sciences),1984-06-03,987033b22db6f51191f167bfdac5ae46,1340023526,34.877029,-81.444337,0
700474,2019-10-26 12:50:04,4586260469584,fraud_Dibbert-Green,entertainment,28.54,Melody,Thompson,F,0362 Anderson Wall,Mound City,MO,64470,40.1362,-95.2138,1631,Architect,1953-01-20,b1c945af7de0f6d448d44b9fc527c0a9,1351255804,40.494084,-94.564082,0
1037895,2020-03-06 14:41:48,630424987505,fraud_Kutch-Wilderman,home,11.52,Jennifer,Black,F,2870 Bean Terrace Apt. 756,Thomas,WV,26292,39.1505,-79.503,836,Forensic psychologist,1981-08-29,6dd92306184164dc794c0e9edee06aef,1362580908,38.17284,-79.679633,0
1088366,2020-03-28 20:15:24,349612764943496,fraud_Swift PLC,kids_pets,62.79,Xavier,Beltran,M,61107 Edwards Dam Apt. 463,Big Creek,KY,40914,37.1046,-83.5706,467,Psychologist, forensic,1984-06-04,85788fe7d777af4ff001ba6544a0fa8b,1364501724,37.604845000000005,-83.032309,0
1205869,2020-05-19 00:55:43,373043435942726,fraud_Reichert, Rowe and Mraz,shopping_net,99.16,Vincent,Richards,M,2064 Tyler Fork,Beasley,TX,77417,29.479,-95.9681,2457,Trading standards officer,1981-03-04,002632aefdf6eb0d7144c75181ae157b,1368924943,30.019293,-96.366327,0
1072884,2020-03-22 01:00:51,60490596305,fraud_Cummerata-Jones,gas_transport,50.7,Karen,Johnson,F,4349 Anna Flat Suite 214,Haynes,AR,72341,34.8838,-90.7666,222,Programmer, applications,1963-05-19,2c07a54726850cc22c96341fd7e4b62b,1363914051,34.029973,-90.232747,0
1219428,2020-05-25 02:16:56,180048185037117,fraud_Kunze Inc,grocery_pos,211.6,Mary,Wall,F,2481 Mills Lock,Plainfield,NJ,7060,40.6152,-74.415,71485,Leisure centre manager,1974-07-19,b81b4aac1a7caa747f9214b745f1360f,1369448216,41.323281,-73.55243,0
1224644,2020-05-26 12:16:23,344709867813900,fraud_Fisher-Schowalter,shopping_net,111.58,Joanna,Hudson,F,2924 Bobby Trafficway,Sebring,FL,33872,27.4703,-81.4872,50835,Environmental consultant,1986-01-30,4d6843537ac846f1f0c3e75275f2425a,1369570583,27.554632,-82.292239,0
217535,2019-04-20 22:58:20,30270432095985,fraud_Schoen-Quigley,kids_pets,46.14,Lisa,Lin,F,908 Brooks Brook,Lomax,IL,61454,40.6761,-91.0391,725,Environmental consultant,1972-11-28,ec68dd05a61a3e2bda7035e4d495d9c7,1334962700,39.780073,-91.309479,0
813814,2019-12-07 18:50:26,2720433095629877,fraud_O'Connell-Ullrich,home,15.12,Mark,Wood,M,854 Walker Dale Suite 488,Bowdoin,ME,4287,44.0575,-69.9656,3224,Engineer, electronics,1997-08-22,6132e60882546fe86b12b2bf6973dac7,1354906226,43.410166,-70.066847,0
442403,2019-07-15 19:56:48,4255397449664185994,fraud_Kutch-Wilderman,home,28.15,George,Smith,M,7377 Walton Extensions Apt. 979,Dallas,TX,75236,32.69,-96.9177,1263321,Designer, interior/spatial,1952-09-27,3f002b54e61588c1ed7226fda5a5fcec,1342382208,32.998671,-95.957569,0
779258,2019-11-30 04:47:10,30131826429364,fraud_Friesen-Stamm,gas_transport,66.93,Brianna,Foley,F,57256 Raymond Ports,Knoxville,TN,37932,35.9335,-84.1481,391389,Designer, industrial/product,1994-04-22,1dcb2760aefdb62b648052afd19d22db,1354250830,34.96907,-83.97833,0
584313,2019-09-04 22:31:20,2305336922781618,fraud_Barton LLC,kids_pets,21.08,Jeffrey,Rice,M,21447 Powell Circle,Moulton,IA,52572,40.6866,-92.6833,1132,Probation officer,1961-02-14,d9573bb3e2a1d0609cfeee515d5efade,1346797880,41.465711,-91.995737,0
107939,2019-03-03 10:44:42,6011504998544485,fraud_Koepp-Witting,grocery_pos,95.58,Ashley,Whitney,F,4038 Smith Avenue,Jones,AL,36749,32.5104,-86.8138,1089,Materials engineer,1971-11-02,49ed8b7e4a379bf5588b653cf4e4e2e2,1330771482,32.236827000000005,-87.53178199999999,0
439896,2019-07-15 03:51:21,4279161831637,fraud_Kutch LLC,gas_transport,70.09,Lisa,Hendrix,F,35737 Kirby Fall Suite 409,Vanderbilt,PA,15486,40.0246,-79.6955,2303,Physiotherapist,1987-08-16,2e3078d286059aff729bbe08bab4de91,1342324281,39.111755,-78.767656,0
988905,2020-02-07 22:48:53,4005676619255478,fraud_Kihn, Abernathy and Douglas,shopping_net,4.21,William,Perry,M,458 Phillips Island Apt. 768,Denham Springs,LA,70726,30.459,-90.9027,71335,Herbalist,1994-05-31,3097f61ac3228da2b1e57fb6ed34ad7d,1360277333,30.462223,-91.286153,0
681186,2019-10-17 20:47:03,343472729187663,fraud_Hilpert-Conroy,kids_pets,6.89,Gloria,Wallace,F,234 Bridges Wells Apt. 389,Center Tuftonboro,NH,3816,43.6849,-71.2551,1368,Optician, dispensing,1971-08-05,d8ad583d43d6b653cbeaf791ffb4b794,1350506823,43.560719,-71.587383,0
407356,2019-07-03 21:17:17,676173792455,fraud_Torp, Muller and Borer,health_fitness,7.68,Brittany,Cox,F,07177 William Dale Apt. 547,Santa Monica,CA,90403,34.0287,-118.4924,92043,Civil engineer, contracting,1961-04-25,c07b20b511395b676780b0dde09e7a37,1341350237,33.185675,-118.907616,0
438389,2019-07-14 18:43:31,4797297220948468262,fraud_Bode-Rempel,kids_pets,55.47,Erica,Briggs,F,3310 Davidson Spurs Apt. 107,Oolitic,IN,47451,38.8938,-86.5246,1228,Counsellor,1991-03-13,03c594e5e9ec4bebd462bca81f470d3a,1342291411,39.589728,-85.719142,0
1146716,2020-04-22 19:24:31,4764202053279782,fraud_Cormier LLC,health_fitness,20.3,Derek,Jones,M,198 Candace Plaza,Diamond,OH,44412,41.0935,-81.0425,2644,Air cabin crew,1981-01-06,39b38d818e2fbdb05a0a4851d0e7ff40,1366658671,41.702225,-80.516033,0
1015960,2020-02-23 12:57:30,30150717898388,fraud_Windler LLC,kids_pets,18.84,Raymond,Lloyd,M,5930 Rebecca Bridge Apt. 444,Paint Rock,AL,35764,34.7031,-86.3068,653,Paediatric nurse,1966-06-19,2d792d45e07c94d65adbc42091f5428b,1361624250,35.676574,-86.47747700000001,0
568848,2019-08-30 09:12:36,3513618443244549,fraud_Greenfelder, Bartoletti and Davis,misc_net,15.1,Amber,Perez,F,954 Reyes Ways,Fulton,SD,57340,43.7588,-97.8712,355,Financial adviser,1955-06-26,2ad51935bd1df08f7935604b23dee446,1346317956,44.660177,-98.247862,0
769236,2019-11-25 08:04:51,2269768987945882,fraud_Towne LLC,misc_pos,406.3,Shannon,Patterson,F,9808 Ellis Bypass,Mount Morris,NY,14510,42.6835,-77.8664,4895,Acupuncturist,1958-10-29,22e31e78a82a16c87caf4bbe5690c2f9,1353830691,42.048337,-77.228925,0
445409,2019-07-17 05:39:17,38797410705641,fraud_Kiehn-Emmerich,grocery_pos,108.94,Andrew,Tucker,M,583 Gray Creek,Oak Hill,NY,12460,42.4069,-74.1528,277,Glass blower/designer,1971-12-12,f617401baa7426b11d55696d31ef0829,1342503557,43.152951,-74.889674,0
1248819,2020-06-04 01:13:57,30404291151692,fraud_Dooley-Thompson,misc_net,274.92,Savannah,Lewis,F,537 Walker Freeway,North Tonawanda,NY,14120,43.0498,-78.851,45100,Ambulance person,1993-10-25,ce80a6c7aabad81c21b03b50af08b61f,1370308437,42.543635,-79.39188299999999,0
1134594,2020-04-17 21:58:23,676195318214,fraud_Christiansen-Gusikowski,misc_pos,380.77,Brandy,Quinn,F,9734 Beard Fields Suite 885,Altair,TX,77412,29.6047,-96.5249,106,Editor, film/video,1983-07-24,241b73ac8380648d74bb770857ef61ff,1366235903,29.771592,-96.543923,0
127722,2019-03-11 15:23:40,4497451418073897078,fraud_Osinski Inc,personal_care,135.83,Elizabeth,Glover,F,246 Stewart Green Suite 149,West Monroe,LA,71291,32.5317,-92.176,54185,Radiographer, diagnostic,1992-11-20,2c7b3f9cb77729c1c572a1d9aa0bf30b,1331479420,32.828745,-92.902067,0
1254655,2020-06-06 16:40:16,676309913934,fraud_Schuppe, Nolan and Hoeger,shopping_pos,9.93,Robert,Martinez,M,3683 Parrish Circles,Pueblo,CO,81005,38.2352,-104.66,151815,Further education lecturer,1988-01-04,80d4171e732724107c54f9c3bb1383e8,1370536816,38.675022,-105.236626,0
348964,2019-06-13 03:39:56,370612217861404,fraud_Tillman, Dickinson and Labadie,gas_transport,87.49,Amanda,Fitzgerald,F,298 Kayla Lights,Bristol,PA,19007,40.1159,-74.8536,21125,Administrator, charities/voluntary organisations,1985-05-25,a76d6c39f29ea6a353dfee3ba34a27b5,1339558796,39.711234000000005,-74.528593,0
430423,2019-07-12 06:52:10,30560609640617,fraud_Mraz-Herzog,gas_transport,60.73,Michael,Olson,M,558 Michael Estates,Luray,MO,63453,40.4931,-91.8912,519,Town planner,1966-02-13,073910eeabd23ee7665cc4ffdfb9746c,1342075930,41.237258,-92.882536,0
1041986,2020-03-08 13:36:50,4979422371139333,fraud_Kutch, Steuber and Gerhold,food_dining,103.92,Kelly,Zimmerman,F,1893 Katie Tunnel,Westerville,NE,68881,41.4193,-99.3844,73,Product designer,1935-02-10,e25ec99bd57e12107163d03480d7ffc0,1362749810,42.062659,-99.981991,0
1045656,2020-03-09 17:47:03,30143535920989,fraud_Hickle Group,shopping_pos,6.1,Lisa,Collins,F,44197 Jeffrey Port Suite 050,Bridgeport,NJ,8014,39.8016,-75.3478,504,Engineer, control and instrumentation,1980-08-17,f8f82e980bb9f0cee120ffae5d05bda1,1362851223,40.676406,-75.295846,0
212229,2019-04-18 15:30:02,4452366298769043,fraud_Labadie LLC,personal_care,67.49,Linda,Davis,F,6602 Ortiz Pine Apt. 179,Blooming Grove,TX,76626,32.0758,-96.701,1563,Financial adviser,1978-03-04,a04a6a9a3d802b7fbd8528b0c1b76ce6,1334763002,32.394295,-96.092269,0
112549,2019-03-04 20:23:04,6506116513503136,fraud_Volkman-Predovic,shopping_net,24.99,Kimberly,Rice,F,63991 Destiny Rue Apt. 651,Tyler,TX,75703,32.2768,-95.3031,144160,Sports development officer,1984-05-04,2de2f74a8f9a5e7efd652b033ee1f78b,1330892584,32.281978,-96.302867,0
570402,2019-08-30 22:23:50,180048185037117,fraud_Schaefer Ltd,kids_pets,14.68,Mary,Wall,F,2481 Mills Lock,Plainfield,NJ,7060,40.6152,-74.415,71485,Leisure centre manager,1974-07-19,062395d63146aca5fa7ad2aaa4077b07,1346365430,40.710206,-74.771286,0
1243074,2020-06-02 01:00:59,4990494243023,fraud_Haley Group,misc_pos,9.32,Martin,Ford,M,56812 Francis Courts,Corriganville,MD,21524,39.6967,-78.8031,626,Energy engineer,1960-12-13,ee7751543d32a528f4f8003eeb7c7952,1370134859,38.801326,-78.546367,0
270070,2019-05-13 14:58:19,3590736522064285,fraud_Swaniawski, Lowe and Robel,shopping_pos,1.83,Kimberly,Gonzalez,F,72966 Shannon Pass Apt. 391,Bauxite,AR,72011,34.5091,-92.4828,4074,Scientist, audiological,1975-12-20,809ca828cd34219c3f7b1c447c95fbc7,1336921099,33.761095000000005,-92.023006,0
870069,2019-12-20 06:17:19,374238209524200,fraud_Kuvalis Ltd,gas_transport,30.28,Daniel,Martinez,M,8510 Acevedo Burgs,Kent,OR,97033,45.0838,-120.6649,60,Museum education officer,1942-04-03,c4fe7a9fca2bec4001a4a315a5b0e953,1355984239,46.077591,-121.050115,0
1002693,2020-02-15 22:22:29,630424987505,fraud_Dickinson-Rempel,misc_pos,8.17,Jennifer,Black,F,2870 Bean Terrace Apt. 756,Thomas,WV,26292,39.1505,-79.503,836,Forensic psychologist,1981-08-29,d5d16e2aa51e914dfc3e594ab34d94a4,1360966949,39.526734000000005,-79.940574,0
667257,2019-10-11 21:43:06,30551643947183,fraud_Schulist Ltd,food_dining,25.85,Morgan,Smith,F,1441 Bradley Place,Grover,NC,28073,35.1836,-81.4552,5621,Toxicologist,1973-11-14,b8fe65fe81008a62157665e8a0f7c0b8,1349991786,35.763627,-81.291422,0
753459,2019-11-18 07:35:10,3501942333500073,fraud_Erdman-Kertzmann,gas_transport,47.96,Lori,Bishop,F,08056 Alvarado Club Suite 699,Phoenix,AZ,85086,33.8155,-112.1202,1312922,Counselling psychologist,1999-11-30,ddc203ec350519b434e8831bc285ff38,1353224110,33.830475,-111.884373,0
599847,2019-09-11 21:56:51,30234966027947,fraud_Bahringer, Osinski and Block,food_dining,241.74,Matthew,Lambert,M,7188 Melissa Crest Apt. 151,New Holstein,WI,53061,43.9446,-88.0911,5196,Child psychotherapist,1978-01-22,71491d9a25df3e2a407af0fc9ee55de7,1347400611,43.983393,-87.130452,0
126991,2019-03-11 09:52:08,3565943051129759,fraud_Boyer PLC,shopping_net,8.97,David,Thomas,M,838 Dan Haven Suite 003,Webster City,IA,50595,42.4657,-93.8262,9165,Medical secretary,1963-05-23,ebb2c6afc71ccd2328b3026cc47b1a87,1331459528,43.056213,-93.391885,0
78159,2019-02-16 01:50:19,30442439074871,fraud_Tillman, Fritsch and Schmitt,misc_net,136.48,Linda,Sanchez,F,6574 William Hill Apt. 375,Jermyn,PA,18433,41.5744,-75.5881,6508,Training and development officer,1981-06-22,14045a903f503998f30c09d6674e8ac5,1329357019,41.074491,-75.083331,0
899353,2019-12-26 18:43:24,4328928491302401,fraud_Mohr-Bayer,shopping_net,5.62,Margaret,Ray,F,927 Cummings Manor Suite 318,Greendale,WI,53129,42.9373,-87.9943,13973,Logistics and distribution manager,1981-05-06,de2809c1a5e406789bb6e651a06d849e,1356547404,42.937112,-87.385098,0
787844,2019-12-01 17:15:22,213153151785052,fraud_Bins-Howell,personal_care,2.73,Rebecca,Conley,F,181 Moreno Light Apt. 215,Tomahawk,WI,54487,45.4963,-89.7273,9594,Seismic interpreter,1997-11-23,94fa29a23c26a32cc73171116bf6c5a5,1354382122,45.324094,-88.80736800000001,0
327030,2019-06-05 02:09:12,30238755902988,fraud_Corwin-Collins,gas_transport,43.56,Danielle,Yu,F,5395 Colon Burgs Suite 037,Thrall,TX,76578,30.592,-97.2893,1766,Press sub,1976-01-02,8214012b0ec97337145227515f452e50,1338862152,31.417273,-97.967841,0
555637,2019-08-25 11:47:32,348789608637806,fraud_Reichert, Huels and Hoppe,shopping_net,154.56,Megan,Murphy,F,53696 Laura Radial,Holstein,NE,68950,40.4542,-98.6538,331,Telecommunications researcher,1950-08-19,5a315267688e048202d484ad2d36d321,1345895252,41.394077,-99.536786,0
527500,2019-08-15 13:05:03,676102124465,fraud_Terry Ltd,home,59.59,Natasha,Mclaughlin,F,8699 Lindsay Ford Apt. 486,Napa,CA,94558,38.4549,-122.2564,94014,Airline pilot,1985-08-21,daae0cdf3a4ec47c2c3ef2e1d45f27bf,1345035903,39.194419,-122.937522,0
478507,2019-07-28 22:41:38,4279161831637,fraud_Mosciski, Ziemann and Farrell,shopping_net,5.24,Lisa,Hendrix,F,35737 Kirby Fall Suite 409,Vanderbilt,PA,15486,40.0246,-79.6955,2303,Physiotherapist,1987-08-16,62f18e972adb4e6013691ca66e09dd4c,1343515298,40.661416,-79.850133,0
1015576,2020-02-23 08:52:17,4538566639857,fraud_Daugherty, Pouros and Beahan,shopping_pos,3.6,Jerry,Kelly,M,3539 Mckenzie Stream,Fairview,NJ,7022,40.817,-74.0,13835,Programmer, multimedia,1967-05-28,76cc74876ae1634318de7f3f6f5b483e,1361609537,41.173225,-73.064594,0
1115863,2020-04-09 10:01:12,213155997615567,fraud_Brekke and Sons,gas_transport,66.07,James,Yoder,M,83359 Lopez Point,Clune,PA,15727,40.5503,-79.3237,168,Race relations officer,1978-10-04,0224e0147c83cf54df96cb75a5dfa82b,1365501672,40.655485,-80.264588,0
1270537,2020-06-11 22:28:19,4810839835482794272,fraud_Hirthe-Beier,health_fitness,30.46,Carolyn,Perez,F,433 Blake Roads Suite 967,Wheaton,MO,64874,36.7651,-94.0492,760,Production manager,1985-08-31,bd2fb831217d258dc6f39b3c9f609230,1370989699,37.083603,-95.036303,0
81169,2019-02-17 20:29:38,213193596103206,fraud_Reichel Inc,entertainment,74.78,James,Hunt,M,7369 Gabriel Tunnel,Pointe Aux Pins,MI,49775,45.7549,-84.447,95,Electrical engineer,1994-02-09,9fca6fcc1307df586eb31d0e99112542,1329510578,45.867342,-83.514441,0
789255,2019-12-01 21:31:06,4254074738931278,fraud_Waters-Cruickshank,health_fitness,42.21,Gary,Hall,M,69085 Short Shores,Allentown,NY,14707,42.0737,-78.0594,239,Radio producer,1956-05-02,c9f3863f2735cba13b461a35c422287c,1354397466,42.794135,-78.155121,0
377837,2019-06-23 10:36:45,4800395067176717,fraud_Greenholt, O'Hara and Balistreri,shopping_net,20.51,Daniel,Owens,M,88794 Mandy Lodge Apt. 874,Howells,NE,68641,41.6964,-96.9858,1063,Research scientist (maths),1928-04-02,d4aa2413e525af34e0a973c929ff18f9,1340447805,42.68084,-97.742356,0
500467,2019-08-05 13:07:22,4716561796955522,fraud_Auer LLC,personal_care,79.31,Lauren,Anderson,F,11014 Chad Lake Apt. 573,Heart Butte,MT,59448,48.2777,-112.8456,743,Water engineer,1972-05-04,b4b3fa094d089846cc06373b04886ac2,1344172042,47.772884000000005,-113.714699,0
1167467,2020-05-02 16:12:08,30131826429364,fraud_Little Ltd,kids_pets,7.76,Brianna,Foley,F,57256 Raymond Ports,Knoxville,TN,37932,35.9335,-84.1481,391389,Designer, industrial/product,1994-04-22,49ad072e1e7714e8bc9b5af957815d3d,1367511128,35.318532,-85.123649,0
703197,2019-10-27 11:53:32,30199621383748,fraud_Dickinson Ltd,misc_pos,16.03,Theresa,Powell,F,117 Natasha Vista Suite 936,Leonard,TX,75452,33.4044,-96.2238,4090,Sub,1977-03-23,80fc4cd0ae68f329fef207584e58d8ff,1351338812,32.584208000000004,-96.397758,0
453431,2019-07-20 14:44:02,4862293128558,fraud_Terry Ltd,home,5.01,Elizabeth,Payne,F,897 Daugherty Mission,Grassflat,PA,16839,41.0036,-78.1104,489,Pension scheme manager,1956-09-15,1683f07f3d3fcc06bfcc53752d209fa6,1342795442,41.312888,-77.709406,0
195646,2019-04-11 02:28:08,30328384440870,fraud_Berge LLC,gas_transport,68.9,Helen,Campbell,F,182 Sergio Summit Apt. 129,Browning,MO,64630,40.029,-93.1607,602,Cytogeneticist,1954-07-14,f8c18323a619162753f1d21857c7d88c,1334111288,40.474291,-92.243271,0
961751,2020-01-22 16:25:11,3590736522064285,fraud_Swift PLC,kids_pets,32.48,Kimberly,Gonzalez,F,72966 Shannon Pass Apt. 391,Bauxite,AR,72011,34.5091,-92.4828,4074,Scientist, audiological,1975-12-20,1da08d09aae65b51f43826d7321a24cb,1358871911,35.250875,-93.285576,0
664004,2019-10-10 04:58:43,4430881574719618,fraud_Robel, Cummerata and Prosacco,gas_transport,57.61,Alicia,Morales,F,4456 Dunn Roads,Meredith,CO,81642,39.3199,-106.6596,61,Public relations account executive,1939-11-04,6ef6378f9b3f9b7088141a4fd87ec413,1349845123,39.992695,-106.729773,0
1139065,2020-04-19 21:44:45,630423337322,fraud_Brown, Homenick and Lesch,health_fitness,221.58,Stephanie,Gill,F,43039 Riley Greens Suite 393,Orient,WA,99160,48.8878,-118.2105,149,Special educational needs teacher,1978-06-21,0680a00353a708501c679b2e25c04200,1366407885,48.423617,-119.049091,0
150875,2019-03-22 16:40:07,30103132002433,fraud_Gleason and Sons,kids_pets,28.76,Stephanie,Middleton,F,99736 Rose Shoals Apt. 504,Morrisdale,PA,16858,41.0001,-78.2357,3688,Dispensing optician,1987-10-26,b1ce0fcddee503ed8d3ead8c2c8a29b2,1332434407,40.295292,-77.249814,0
1247694,2020-06-03 12:58:50,3585740823295298,fraud_Schmeler Inc,misc_pos,70.9,James,Greene,M,082 Hernandez Bypass Apt. 886,Quanah,TX,79252,34.2956,-99.7494,3202,Librarian, public,1998-03-18,8a7c827573db8d61116683a4c08e7528,1370264330,35.288747,-99.824435,0
808958,2019-12-06 18:52:41,2252055259910912,fraud_Jakubowski Inc,home,83.81,Jason,Hernandez,M,220 Frank Gardens,Hewitt,WI,54441,44.6437,-90.1031,828,Arts development officer,1991-08-19,1f6fbe200954d1933b396f5d914e9c29,1354819961,44.851668,-91.037552,0
873625,2019-12-21 04:07:25,6593250708747804,fraud_Schoen, Kuphal and Nitzsche,grocery_pos,203.38,Melissa,Meza,F,244 Abbott Parkway,Loxahatchee,FL,33470,26.7383,-80.27600000000001,26551,Paramedic,1977-01-04,a99ce11aa0d61157416844d70f5200b6,1356062845,25.857446,-80.546217,0
534500,2019-08-18 00:22:02,4601636330889,fraud_Heller, Gutmann and Zieme,grocery_pos,36.0,Mark,Rivera,M,383 Contreras Hills Suite 658,Humble,TX,77338,30.0041,-95.2825,194500,Tax adviser,1990-12-18,d7ba60db7b983b938b394f8e115d2f70,1345249322,29.409627,-96.108187,0
381896,2019-06-24 11:28:09,639095706599,fraud_Friesen-D'Amore,gas_transport,58.78,Kyle,Wilkinson,M,93970 Trujillo Causeway,Curlew,IA,50527,42.9633,-94.7975,223,Estate manager/land agent,1939-04-14,87204d8b45d9a1bd14756675ff771a5b,1340537289,42.098913,-95.641887,0
466886,2019-07-25 01:23:00,4225990116481262579,fraud_Rohan, White and Aufderhar,misc_net,5.17,Brian,Simpson,M,2711 Duran Pines,Honokaa,HI,96727,20.0827,-155.488,4878,Physiotherapist,1966-12-03,d69643634eb3de35082eddf00f2f6e40,1343179380,19.83263,-155.187775,0
455134,2019-07-21 01:06:17,5540636818935089,fraud_Parisian and Sons,gas_transport,73.35,Kenneth,Foster,M,329 Michael Extension,Lawrence,MA,1843,42.6911,-71.1605,76383,Geoscientist,1985-04-04,312743b581fad612475e8ba3e546730b,1342832777,43.235031,-71.588738,0
825080,2019-12-09 14:52:20,3541687240161491,fraud_Botsford and Sons,home,221.06,Mark,Nguyen,M,62631 Ashley Ramp Apt. 965,Sea Island,GA,31561,31.1989,-81.3322,298,Engineer, structural,1963-04-22,9f0db88f3dcd0164207d8443694ca94a,1355064740,30.71793,-81.305853,0
858468,2019-12-16 20:53:54,213161231269724,fraud_Fadel Inc,health_fitness,1.07,Alyssa,Morgan,F,622 Robin Run Suite 764,Gadsden,AL,35901,34.048,-85.9246,67082,Physiological scientist,1963-02-09,27ea3882052da91b31f6d948e17a87b9,1355691234,34.014546,-85.621486,0
856294,2019-12-16 14:01:36,3562264947797243,fraud_Bogisich-Weimann,kids_pets,16.73,Anthony,Velasquez,M,609 Hunt Grove,Saint Francis,KY,40062,37.6047,-85.4251,301,Research officer, political party,1967-03-17,411de7127747adb4155c9f36e05537a4,1355666496,36.931811,-85.745508,0
201494,2019-04-13 20:55:40,4430881574719618,fraud_Bahringer Group,health_fitness,7.65,Alicia,Morales,F,4456 Dunn Roads,Meredith,CO,81642,39.3199,-106.6596,61,Public relations account executive,1939-11-04,410b4316a0081651942978e1b8f913a3,1334350540,38.526959000000005,-105.956604,0
168131,2019-03-30 07:34:25,30082025922891,fraud_Padberg-Rogahn,entertainment,133.3,Kathleen,Thompson,F,199 Patterson Fords Apt. 132,Naples,FL,34112,26.1184,-81.7361,276002,Pilot, airline,1934-06-23,7774028e2583c0a43f7ea5e0308d414f,1333092865,26.898432,-82.728311,0
244692,2019-05-02 22:37:36,3523898249167098,fraud_Schoen Ltd,kids_pets,8.96,Joshua,Carpenter,M,04975 Allison Shoal,Bronx,NY,10463,40.8798,-73.9067,1382480,Therapist, drama,1990-11-09,f19427018d2aeced9cbd4000a5c46503,1335998256,40.531662,-72.97306999999999,0
194077,2019-04-10 04:38:54,4653879239169997,fraud_Hintz-Bruen,grocery_net,8.14,Monica,Tucker,F,302 Christina Islands,Smiths Grove,KY,42171,37.0581,-86.1938,6841,Therapist, sports,1999-06-06,e315d11aa74b253525946ec7837254c6,1334032734,36.495056,-85.270226,0
1063739,2020-03-17 09:48:44,30238755902988,fraud_Parisian and Sons,gas_transport,48.81,Danielle,Yu,F,5395 Colon Burgs Suite 037,Thrall,TX,76578,30.592,-97.2893,1766,Press sub,1976-01-02,eef48a0c13194f0d5b57b79442e699d5,1363513724,31.007634000000003,-97.846332,0
211890,2019-04-18 11:27:48,379141394109214,fraud_Cummings LLC,gas_transport,40.85,Gerald,Anthony,M,252 Melissa Rapids Suite 944,Monetta,SC,29105,33.8084,-81.5956,1514,Chief Strategy Officer,1966-12-15,67d044d5099bcdd36bbb6157b790a61b,1334748468,33.38748,-81.809627,0
751179,2019-11-17 14:55:46,4761403817546679245,fraud_Botsford and Sons,home,58.6,Diana,Jacobs,F,69608 Perez Mountain Apt. 006,Viola,AR,72583,36.3924,-91.9932,1679,Psychiatric nurse,1986-05-02,7f1519a93dfe52abafa8936949d99a33,1353164146,36.568379,-92.298126,0
1187902,2020-05-11 11:38:19,370348764075623,fraud_Kris-Padberg,shopping_pos,33.4,Christopher,Gomez,M,950 Dunn Squares,Tickfaw,LA,70466,30.5668,-90.482,8512,Accountant, chartered public finance,1951-09-03,bbc8db338abef9d062cdd7b862e4d1d9,1368272299,30.780581,-89.59536999999999,0
338390,2019-06-09 11:01:25,3551217896304745,fraud_Dach-Borer,grocery_net,74.63,Sara,Harris,F,597 Jenny Ford Apt. 543,Tupper Lake,NY,12986,44.232,-74.4905,6120,Chartered loss adjuster,1976-10-09,8f26d29f99dc56d6d20a8134182a8dc8,1339239685,44.253664,-74.115398,0
547783,2019-08-22 18:58:20,630423337322,fraud_Hyatt, Russel and Gleichner,health_fitness,11.82,Stephanie,Gill,F,43039 Riley Greens Suite 393,Orient,WA,99160,48.8878,-118.2105,149,Special educational needs teacher,1978-06-21,dbe2281800e3d1f09e041560fba6ec1c,1345661900,48.556013,-119.141842,0
621785,2019-09-21 19:14:52,3551217896304745,fraud_Gaylord-Powlowski,home,97.86,Sara,Harris,F,597 Jenny Ford Apt. 543,Tupper Lake,NY,12986,44.232,-74.4905,6120,Chartered loss adjuster,1976-10-09,4fbeff2834a84533c1e8ad03c5140f6a,1348254892,44.519509,-75.40567,0
782361,2019-11-30 18:49:58,3558652751678952,fraud_Wuckert-Goldner,home,82.32,Teresa,Blankenship,F,6638 Lucero Mill Suite 952,Karnack,TX,75661,32.6205,-94.2,2807,Chiropodist,1931-01-26,007d117e3d75e7daaec7b6c58b953502,1354301398,33.392231,-93.503361,0
1181904,2020-05-08 21:35:58,38588538868506,fraud_Gottlieb-Hansen,personal_care,29.86,Jacqueline,Curry,F,3047 Jeff Place,Marathon,TX,79842,30.1886,-103.2214,498,Lexicographer,1990-11-23,c218a14cf3b8637ce5ba9029aa7bb618,1368048958,29.633167,-102.340923,0
48145,2019-01-29 03:42:49,4561892980175,fraud_Kemmer-Buckridge,misc_pos,222.42,Jacqueline,Allen,F,166 Lisa Fords,Greenwood,IN,46143,39.596,-86.1309,78968,Financial adviser,1968-02-10,a91915e7fd109b4e153f401043121a9a,1327808569,38.96555,-85.243505,0
532607,2019-08-17 13:12:59,3533742182628021,fraud_Lynch Ltd,shopping_pos,2.72,Robert,Haynes,M,857 Aaron Circles Suite 398,Johns Island,SC,29455,32.8357,-79.8217,20478,Materials engineer,1997-06-04,367b69c2c9b47a04b6e768118bd9e1d1,1345209179,33.613168,-80.594768,0
1201536,2020-05-17 16:05:19,3567527758368741,fraud_Yost, Schamberger and Windler,kids_pets,26.28,Amanda,Vance,F,14601 Downs Skyway Apt. 440,Sterling City,TX,76951,31.8351,-101.0017,1143,Scientist, biomedical,1962-03-19,671877fb36919665022f09a7ab570292,1368806719,31.699506,-100.233523,0
745904,2019-11-15 14:48:37,630451534402,fraud_Leannon-Nikolaus,travel,2.57,Rachel,Daniels,F,561 Little Plain Apt. 738,Wetmore,MI,49895,46.3535,-86.6345,765,Immunologist,1972-06-12,045437a0d3223a5452dd9f019a5adc6d,1352990917,47.193071,-86.472898,0
475410,2019-07-28 05:13:11,377234009633447,fraud_Little, Gutmann and Lynch,shopping_net,357.19,Theresa,Blackwell,F,43576 Kristina Islands,Shenandoah Junction,WV,25442,39.3716,-77.8229,1925,Systems developer,1966-02-14,f6d789a6135c9e5be982be0491071bae,1343452391,40.104601,-77.930273,0
507660,2019-08-08 13:58:48,581686439828,fraud_Metz-Boehm,shopping_pos,6.03,Larry,House,M,911 Sabrina Trafficway,Cochranton,PA,16314,41.5205,-80.0573,5507,Retail merchandiser,1973-07-28,c47cc725643ab21f9d6fea6a28a43492,1344434328,41.837903,-80.79009599999999,0
635072,2019-09-27 17:34:08,4906628655840914250,fraud_Turner and Sons,shopping_pos,5.89,Charles,Moreno,M,838 Franklin Prairie Apt. 902,Key West,FL,33040,24.6557,-81.3824,32891,Town planner,1987-02-13,c4b54c16e58d9d21fe4ca78710f8fdc9,1348767248,24.431326,-81.932996,0
447185,2019-07-18 01:28:46,6011388901471808,fraud_Huel, Hammes and Witting,grocery_pos,95.76,Jacqueline,Marsh,F,950 Sheryl Spurs,Dunlevy,PA,15432,40.1151,-79.8627,427,Mining engineer,1951-02-05,7ad3fe8043486ec1d3a164653e81e2f3,1342574926,39.329683,-80.433757,0
240283,2019-04-30 07:59:31,4951647200979051,fraud_Raynor, Feest and Miller,gas_transport,59.05,Kimberly,Miller,F,75533 Tamara Valleys,Logan,IL,62856,37.9943,-88.9417,324,Scientist, research (physical sciences),1976-06-15,f9ad058a47193ef05c04ec4ee761b304,1335772771,37.929163,-88.964212,0
876054,2019-12-21 15:53:49,4646845581490336108,fraud_O'Connell, Botsford and Hand,home,130.63,Julia,Bell,F,576 House Crossroad,West Sayville,NY,11796,40.732,-73.1,4056,Film/video editor,1990-06-25,60bede0b80d937ec7aed03d9ac8c8b1d,1356105229,40.181352,-72.704898,0
678374,2019-10-16 07:52:23,3576511691045060,fraud_Moen, Reinger and Murphy,grocery_pos,111.07,Leah,Garner,F,147 Mckinney Run Apt. 743,Ehrhardt,SC,29081,33.1044,-81.0221,1352,Engineer, materials,1992-10-08,7588f0fbd93a649ab6704e3247763ca6,1350373943,32.476982,-81.029916,0
730914,2019-11-08 21:48:52,4658490815480264,fraud_Padberg-Sauer,home,52.52,Tara,Richards,F,4879 Cristina Station,Keisterville,PA,15449,39.9636,-79.7853,184,Systems developer,1945-11-04,bf6a8b075152403a9987efbe4c141728,1352411332,40.76546,-78.99319399999999,0
300869,2019-05-26 20:26:31,378904938837132,fraud_Swaniawski, Lowe and Robel,shopping_pos,7.45,Tina,Zimmerman,F,3595 Susan Island Suite 063,Thomas,OK,73669,35.7382,-98.7388,1675,Barrister,1986-05-01,0d0e13b4941cbfad1527cdf2d4b96667,1338063991,36.273521,-99.532458,0
172919,2019-03-31 21:31:07,373043435942726,fraud_Schmidt-Larkin,home,80.53,Vincent,Richards,M,2064 Tyler Fork,Beasley,TX,77417,29.479,-95.9681,2457,Trading standards officer,1981-03-04,7928e98b39eb0b37b6cfb82825e131a0,1333229467,29.591353,-96.308404,0
1252631,2020-06-05 19:00:30,4266200684857219,fraud_Johnston-Casper,travel,1.06,Joshua,Bryant,M,5452 Patricia Inlet Apt. 280,Nelson,NE,68961,40.201,-98.0684,732,Television/film/video producer,1956-12-13,1546fc7fd52db6f8460a24f1c6a6b103,1370458830,40.9799,-98.823706,0
836470,2019-12-12 16:43:54,4908846471916297,fraud_Turner, Ziemann and Lehner,food_dining,69.38,Lauren,Torres,F,03030 White Lakes,Grandview,TX,76050,32.2779,-97.2351,5875,Radiographer, therapeutic,1992-07-24,c1cceaee9ac6920077609fe90c7599aa,1355330634,32.191359000000006,-96.952,0
482008,2019-07-29 21:10:49,3521815216091574,fraud_Boyer-Haley,travel,514.86,Wayne,Marsh,M,172 Leonard Island,Dumont,CO,80436,39.7532,-105.6356,565,Mental health nurse,1978-08-27,05033168c61532bf2bbe2e1ec4c6fa01,1343596249,39.120993,-105.670939,0
1256992,2020-06-07 13:16:03,375248307838179,fraud_Lesch, D'Amore and Brown,food_dining,55.06,Joshua,Mendoza,M,4215 Miranda Field Suite 326,Tallmansville,WV,26237,38.8564,-80.158,571,Accounting technician,1967-09-16,8b7eca664f5590ae4a916686db43fd65,1370610963,39.775531,-80.175863,0
673780,2019-10-14 04:04:21,3526826139003047,fraud_Gutmann Ltd,grocery_net,54.84,Nathan,Massey,M,5783 Evan Roads Apt. 465,Falmouth,MI,49632,44.2529,-85.01700000000001,1126,Furniture designer,1955-07-06,03b4a0d38b6b6012c73fe2814fc50156,1350187461,43.999637,-85.931749,0
576017,2019-09-01 14:00:05,374238209524200,fraud_Gottlieb Group,kids_pets,5.03,Daniel,Martinez,M,8510 Acevedo Burgs,Kent,OR,97033,45.0838,-120.6649,60,Museum education officer,1942-04-03,fbf5e88d4643ff58cdea2ebc2e13afa9,1346508005,45.404889,-120.391765,0
1250844,2020-06-05 00:05:13,3581130339108561,fraud_Trantow PLC,grocery_net,57.81,Gregory,Wood,M,622 Robert Summit,Akron,OH,44307,41.0695,-81.5488,272134,Call centre manager,1964-03-15,c9a28e16403f35db560be92fdeff897c,1370390713,41.265639,-81.311077,0
856557,2019-12-16 14:54:23,6011504998544485,fraud_Quitzon-Goyette,home,61.77,Ashley,Whitney,F,4038 Smith Avenue,Jones,AL,36749,32.5104,-86.8138,1089,Materials engineer,1971-11-02,80caa7106084334a731fb9afb70edfbe,1355669663,32.530969,-87.21480600000001,0
296185,2019-05-25 15:16:45,4003989662068504,fraud_Pacocha-Weissnat,kids_pets,21.21,Chris,White,M,98897 Bennett Lodge,Bessemer,AL,35022,33.3224,-86.9657,71463,Radio broadcast assistant,1989-02-08,b88c0009f712a9f5088809286bc6b05d,1337959005,33.484452000000005,-87.542328,0
1139359,2020-04-19 23:59:41,4900628639996,fraud_Powlowski-Weimann,food_dining,78.13,Michael,Johnson,M,094 Owens Underpass,Norwalk,CA,90650,33.9056,-118.0818,105549,Firefighter,1973-09-22,0658f17784da57d22153a27cb23c5d1d,1366415981,34.374631,-117.850467,0
796646,2019-12-03 04:05:27,371034293500716,fraud_Zboncak, Rowe and Murazik,shopping_net,5.46,Jeremy,Jones,M,5758 Yates Center,Vinton,CA,96135,40.0235,-120.7986,128,Education administrator,1966-02-21,9ec3f5af213b85de617085d8f8e4973b,1354507527,39.964315,-120.084391,0
567096,2019-08-29 15:19:50,213141712584544,fraud_Medhurst PLC,shopping_net,1.57,Margaret,Curtis,F,742 Oneill Shore,Florence,MS,39073,32.153,-90.1217,19685,Fine artist,1984-12-24,da7c49e4a1056088b863b54f016f64e6,1346253590,32.735316999999995,-90.247614,0
356403,2019-06-15 22:00:17,4661996144291811856,fraud_Nienow PLC,entertainment,19.46,Linda,Park,F,24607 Charles Mountains,Fenelton,PA,16034,40.8555,-79.7372,2054,Operations geologist,1963-08-04,b6df3613ea07334b9ba430481918b40a,1339797617,41.596246,-78.940221,0
962566,2020-01-23 07:09:00,6011438889172900,fraud_Towne, Walker and Borer,grocery_net,56.43,Allison,Allen,F,40624 Rebecca Spurs,De Witt,AR,72042,34.2853,-91.3336,5161,Electrical engineer,1993-04-08,40df5efc6f5bfbfcf0ad13f89230453b,1358924940,34.195268,-91.082158,0
1085508,2020-03-27 07:34:16,6538891242532018,fraud_Kovacek, Dibbert and Ondricka,grocery_pos,166.54,Jodi,Rodriguez,F,5796 Lee Coves Apt. 286,Walnut Ridge,AR,72476,36.0244,-90.9288,7155,Engineer, control and instrumentation,1977-03-23,42dd74802479fd21d091fcfcd4c4576f,1364369656,35.384698,-91.176848,0
966784,2020-01-25 20:13:10,4311368326621416041,fraud_Jakubowski Inc,home,10.32,Phillip,Delacruz,M,26678 Lisa Locks Apt. 904,Iliff,CO,80736,40.7692,-103.0968,648,Community arts worker,1969-09-21,bf60c24943e44a6b14d3d30d5ec37ca0,1359144790,40.348146,-102.745325,0
971510,2020-01-27 21:03:07,4509922033272157,fraud_Bahringer, Osinski and Block,food_dining,14.0,Monica,West,F,22084 Smith Roads Suite 776,Hurley,SD,57036,43.2893,-97.1904,811,Neurosurgeon,1972-03-28,9aa8460e31e957349c1416c242844a03,1359320587,43.340507,-96.306739,0
939785,2020-01-10 05:14:42,4810789809665942990,fraud_Schultz, Simonis and Little,grocery_pos,126.06,Julie,Sanchez,F,916 Charles Road,Bowersville,OH,45307,39.5756,-83.7153,338,Quantity surveyor,1988-07-28,e9d4fcd33076129853a7b0d921291028,1357794882,40.545142,-82.766694,0
562265,2019-08-27 05:48:23,4755696071492,fraud_Reilly, Heaney and Cole,gas_transport,98.57,Robert,Evans,M,01892 Patricia Vista Apt. 828,Sachse,TX,75048,32.9643,-96.6012,20328,Site engineer,1985-06-20,f5af81bd124bb0fcd9ebbd24e5d27cb7,1346046503,33.074532,-95.629691,0
834415,2019-12-12 02:20:52,4755696071492,fraud_Ortiz Group,grocery_net,70.05,Robert,Evans,M,01892 Patricia Vista Apt. 828,Sachse,TX,75048,32.9643,-96.6012,20328,Site engineer,1985-06-20,58f4b6c7b0139bd3ec01e377dfe7d1b2,1355278852,33.090022999999995,-96.078578,0
686929,2019-10-20 08:25:57,213112402583773,fraud_Heller, Gutmann and Zieme,grocery_pos,86.07,Ana,Howell,F,4664 Sanchez Common Suite 930,Bradley,SC,29819,34.0326,-82.2027,1523,Research scientist (physical sciences),1984-06-03,8adc4a7acc4125a75657e84be426d0d6,1350721557,33.926167,-81.29983100000001,0
1148256,2020-04-23 18:11:48,30143713661454,fraud_Ernser-Feest,home,78.54,Nicholas,Thornton,M,5270 Megan Burg Suite 756,Halma,MN,56729,48.6669,-96.5969,140,Embryologist, clinical,1942-01-06,02131afbbc620b1fa315e0981417e104,1366740708,47.804735,-96.508769,0
670996,2019-10-13 07:56:12,3564839259330465,fraud_Jast-McDermott,shopping_pos,177.01,Robert,Ashley,M,1250 Christopher Prairie Suite 016,Port Costa,CA,94569,38.046,-122.1866,198,Armed forces training and education officer,1959-03-31,3962e76f6b36138c4466baa9c97146bb,1350114972,38.330246,-121.50323,0
781237,2019-11-30 14:41:29,4560004149983868183,fraud_Nolan-Williamson,kids_pets,90.76,Stacy,Villegas,F,20581 Pena Walks,Colorado Springs,CO,80951,38.8881,-104.6556,525713,Museum/gallery exhibitions officer,1992-05-09,e4c6e0a9d7b3076e719e1bea409a3c20,1354286489,38.74783,-104.470634,0
709302,2019-10-29 17:03:34,4745996322265,fraud_Stamm-Witting,shopping_net,17.12,Carrie,Washington,F,6114 Adams Harbor Suite 096,Kingsford Heights,IN,46346,41.4802,-86.6919,1423,Psychologist, forensic,1998-10-07,89b1bc942da85eb89887cefec2cfdaf7,1351530214,41.148171000000005,-86.590552,0
1044183,2020-03-09 07:47:33,675990301623,fraud_Schmitt Inc,gas_transport,35.68,Amanda,Spencer,F,6682 Green Forks,Ogdensburg,NJ,7439,41.0767,-74.5982,2456,Senior tax professional/tax inspector,1994-03-13,28f8427f71387feccafc94f7fbbfd2c7,1362815253,42.070440000000005,-74.28084,0
480217,2019-07-29 11:35:57,2231186809828225,fraud_Schumm, Bauch and Ondricka,grocery_pos,80.8,Katherine,Pennington,F,73869 Connie Prairie,Vienna,GA,31092,32.0913,-83.7922,7420,Phytotherapist,1957-01-15,22c2a0ce158d238d7e478423d838b15b,1343561757,32.635051000000004,-82.803565,0
785310,2019-12-01 07:26:24,676281772837,fraud_Reilly, Heaney and Cole,gas_transport,49.96,Alicia,Bishop,F,222 Freeman Islands,Whigham,GA,39897,30.8836,-84.3246,3430,Editor, commissioning,1950-03-25,9523879f7a81bced78ba1e7d2424baea,1354346784,31.0308,-84.62070899999999,0
330701,2019-06-06 18:41:11,344709867813900,fraud_Streich, Dietrich and Barton,shopping_net,13.69,Joanna,Hudson,F,2924 Bobby Trafficway,Sebring,FL,33872,27.4703,-81.4872,50835,Environmental consultant,1986-01-30,be90bac95f54e81e466f5eb6491e9d97,1339008071,27.444348,-81.855756,0
586028,2019-09-05 21:15:03,373905417449658,fraud_Skiles LLC,home,10.48,Sarah,Bishop,F,554 Mcdonald Valley Apt. 539,Meridian,TX,76665,31.929,-97.6443,2526,Phytotherapist,1970-11-12,3105f328652c49db43eed209f5788386,1346879703,31.04606,-98.305623,0
895826,2019-12-25 19:14:13,374497717543058,fraud_Kilback Group,food_dining,118.39,Linda,Hurst,F,31701 Tucker Square Suite 893,Wilton,ND,58579,47.1709,-100.7944,1190,Designer, ceramics/pottery,1948-06-30,86925458f8274de0ed649161b1b06c3b,1356462853,46.251974,-100.331106,0
817555,2019-12-08 11:21:41,3526826139003047,fraud_Hills-Witting,shopping_net,4.64,Nathan,Massey,M,5783 Evan Roads Apt. 465,Falmouth,MI,49632,44.2529,-85.01700000000001,1126,Furniture designer,1955-07-06,2e8d858b5d634506f7ad237964176b63,1354965701,44.959551,-85.791179,0
204518,2019-04-14 20:59:06,6544734391390261,fraud_Torphy-Kertzmann,health_fitness,21.32,John,Myers,M,701 Wilson Divide,Highland,IN,46322,41.55,-87.4569,23727,Community arts worker,1982-02-08,edb101d10be70c8747c093e4540eaebc,1334437146,40.621373,-88.329217,0
443339,2019-07-16 03:15:21,30026790933302,fraud_Stamm-Witting,shopping_net,91.09,John,Peters,M,555 Michael Burgs,Mayersville,MS,39113,32.9013,-91.0286,595,Technical brewer,1979-09-03,21607f88b82ef9671fd19d4d946f034d,1342408521,32.156331,-90.243976,0
286121,2019-05-20 17:51:18,4586810168620942,fraud_Ritchie, Bradtke and Stiedemann,travel,6.88,Michelle,Gregory,F,6983 Carrillo Isle,Edisto Island,SC,29438,32.5486,-80.307,2408,Sales professional, IT,1997-07-05,95b4ace2bb9d0d7663954cffaaf995f7,1337536278,32.932836,-81.119416,0
1238935,2020-06-01 00:03:15,4990494243023,fraud_Gleason-Macejkovic,shopping_net,8.8,Martin,Ford,M,56812 Francis Courts,Corriganville,MD,21524,39.6967,-78.8031,626,Energy engineer,1960-12-13,88207fba38fb93301825ebf50380b6e6,1370044995,39.586942,-79.030011,0
825211,2019-12-09 15:19:27,2291163933867244,fraud_Weimann-Lockman,kids_pets,39.36,Jeff,Elliott,M,351 Darlene Green,Columbia,SC,29209,33.9659,-80.9355,333497,Mechanical engineer,1968-03-19,1d1daa273fd7305b9c84adfe1c6da951,1355066367,33.628758000000005,-80.70631999999999,0
618217,2019-09-20 05:36:58,3521417320836166,fraud_Mraz-Herzog,gas_transport,67.08,Angela,Hodges,F,08236 Kim Hill,Indianapolis,IN,46254,39.849,-86.272,910148,Firefighter,1975-11-30,634005e66bd0f2c8a04f43c7ff9ca8b2,1348119418,39.654496,-87.20707900000001,0
201157,2019-04-13 18:13:39,30404291151692,fraud_Swaniawski, Lowe and Robel,shopping_pos,8.15,Savannah,Lewis,F,537 Walker Freeway,North Tonawanda,NY,14120,43.0498,-78.851,45100,Ambulance person,1993-10-25,bd91c474ace2a557016d7111000b11cc,1334340819,42.882364,-79.426767,0
584905,2019-09-05 07:01:22,374238209524200,fraud_Rodriguez, Yost and Jenkins,misc_net,8.55,Daniel,Martinez,M,8510 Acevedo Burgs,Kent,OR,97033,45.0838,-120.6649,60,Museum education officer,1942-04-03,1ff5e58319bc1883c66d9777dc99523f,1346828482,44.65727,-120.518377,0
924284,2019-12-31 20:16:04,4671727014157745,fraud_Schumm PLC,health_fitness,9.91,Kenneth,Edwards,M,3653 Ryan Crossroad,Andrews,IN,46702,40.8618,-85.6067,2304,Retail banker,1955-07-25,dc61f55dd6d4f86aac00a36c5c49f97d,1356984964,41.550417,-84.764652,0
264257,2019-05-11 17:15:50,2512312531485080,fraud_Schoen-Quigley,kids_pets,11.71,John,Mccormick,M,79414 Clark Lakes Suite 966,Warren,MI,48088,42.5164,-82.9832,134056,Producer, radio,1956-10-08,5a134d920bea90352377048d86e19be7,1336756550,43.473094,-82.002538,0
949308,2020-01-15 08:32:57,377895991033232,fraud_Pouros-Conroy,shopping_pos,6.17,Kimberly,Myers,F,6881 King Isle Suite 228,Higganum,CT,6441,41.4682,-72.5751,5438,Librarian, academic,1964-11-17,29755826d48c6aa7184ab061ee93abe5,1358238777,42.364898,-72.726024,0
219886,2019-04-21 17:52:33,180084695172649,fraud_Berge-Hills,kids_pets,122.48,Holly,Mann,F,7644 Joseph Fields,Nokomis,IL,62075,39.3036,-89.2853,3458,Building surveyor,1985-12-08,aae7de696c70416ec4289b69c604baa0,1335030753,40.014556,-89.20042099999999,0
1120192,2020-04-11 18:10:37,502012776709,fraud_Larkin Ltd,kids_pets,2.53,Sherry,Martinez,F,144 Yu Locks Apt. 754,Garrattsville,NY,13342,42.6315,-75.1866,165,Naval architect,1945-09-20,2c827b797e5ace44d6f14be41c34765c,1365703837,43.56429,-76.125416,0
1112626,2020-04-07 16:27:32,3540075240003197,fraud_Bode-Rempel,kids_pets,33.26,Christian,Johns,M,892 Solis Neck,Lonsdale,MN,55046,44.4477,-93.4252,5211,Chief Strategy Officer,1987-01-27,9499cfd6d8e6420ed7e717d65a771a43,1365352052,44.040335,-92.637429,0
588971,2019-09-07 09:45:21,639030014711,fraud_Eichmann, Bogan and Rodriguez,gas_transport,71.16,Stephen,Lopez,M,696 Matthew Ford Suite 157,Olmsted,IL,62970,37.1935,-89.0933,639,Mechanical engineer,1982-08-01,f89afdbd9b496e2160fca4219fc312c6,1347011121,37.068408000000005,-88.944934,0
421738,2019-07-08 14:17:13,4481131401752,fraud_Feil, Hilpert and Koss,food_dining,118.82,Frank,Foster,M,37910 Ward Lights,Shrewsbury,MA,1545,42.2848,-71.7205,35299,English as a second language teacher,1975-04-30,11b8dcf9df682ce3ed38276d63c7a7d0,1341757033,41.72597,-71.2421,0
495975,2019-08-04 09:35:52,4755696071492,fraud_Bradtke PLC,grocery_pos,68.84,Robert,Evans,M,01892 Patricia Vista Apt. 828,Sachse,TX,75048,32.9643,-96.6012,20328,Site engineer,1985-06-20,1588a70775f0c449e7b58e5d6fecdaeb,1344072952,33.161095,-96.338404,0
1090102,2020-03-29 14:10:38,370612217861404,fraud_Gerhold LLC,home,85.77,Amanda,Fitzgerald,F,298 Kayla Lights,Bristol,PA,19007,40.1159,-74.8536,21125,Administrator, charities/voluntary organisations,1985-05-25,0ae742e92de04b1e582660ee6bb6da97,1364566238,39.970894,-74.621677,0
350497,2019-06-13 19:32:23,3506042666828517,fraud_Kutch-Ferry,home,107.96,Christine,Burns,F,343 Hannah Parkway,Comfort,WV,25049,38.1372,-81.5962,630,Fine artist,1959-07-30,51b99f6108d4fedc7f077a073c6c0e4c,1339615943,37.681096,-82.177222,0
1018115,2020-02-24 10:15:20,4294040533480516,fraud_Stroman, Hudson and Erdman,gas_transport,45.33,Gail,Weaver,F,979 Stewart Lake,New Ellenton,SC,29809,33.413000000000004,-81.69,2206,Biomedical scientist,1986-12-31,b46c45b18167b96aad927e180eed7b5d,1361700920,33.875033,-82.519305,0
777169,2019-11-29 09:28:30,213126662687660,fraud_Lebsack and Sons,misc_net,2.26,Christopher,Luna,M,242 Brian Mountain,Laredo,TX,78040,27.5155,-99.4986,248858,Video editor,1971-01-28,b5337c1a073dac20cedd3614963d94b4,1354181310,26.584932,-98.756796,0
297909,2019-05-26 02:02:07,180064817343047,fraud_Torp-Labadie,gas_transport,82.07,Patricia,Gonzalez,F,8973 Mark Drive,Stephensport,KY,40170,37.9048,-86.524,344,Chartered public finance accountant,1967-03-30,ddeb1e9c8fc778dd2065ec03cda38ed4,1337997727,37.054671,-86.117733,0
857077,2019-12-16 16:31:59,676298633337,fraud_Wuckert-Goldner,home,21.36,Jessica,Werner,F,4529 Cannon Alley,Center Point,WV,26339,39.4125,-80.6352,255,Chief Executive Officer,1971-12-10,46b419e63954fa0337c88db8fa8c4480,1355675519,39.488852,-81.50616,0
645457,2019-10-01 15:58:07,4424338559877976,fraud_Wilkinson PLC,kids_pets,14.24,Denise,Barnett,F,23220 Eaton Harbors,Kirby,OH,43330,40.813,-83.4196,118,Private music teacher,1957-11-12,2be1b62fde2915f33bce57b02d424140,1349107087,41.39438,-83.220713,0
930576,2020-01-04 20:17:45,376028110684021,fraud_Friesen Ltd,health_fitness,77.84,Aaron,Murray,M,624 Hale Springs Apt. 572,Meadville,MO,64659,39.7795,-93.3014,964,Tourist information centre manager,1974-12-23,edccc036a089781dcf88466c2a96024a,1357330665,40.614306,-93.550789,0
940264,2020-01-10 15:10:15,3590736522064285,fraud_Gottlieb Group,kids_pets,73.13,Kimberly,Gonzalez,F,72966 Shannon Pass Apt. 391,Bauxite,AR,72011,34.5091,-92.4828,4074,Scientist, audiological,1975-12-20,65be2b986de42a1fb2c662ace19f200e,1357830615,34.744547,-92.012642,0
983883,2020-02-04 02:01:01,4210078554961359092,fraud_Lind, Huel and McClure,gas_transport,52.34,Valerie,Clark,F,7402 West Ranch,Lowell,OR,97452,43.92100000000001,-122.7806,1420,Systems analyst,1965-11-11,a99b20f16086a9cf0e349864dbdebdcb,1359943261,42.953741,-123.693996,0
265810,2019-05-12 06:11:50,3508104404056005,fraud_Casper, Hand and Zulauf,grocery_pos,55.07,Michael,Fisher,M,401 Escobar Port,East Troy,WI,53120,42.8035,-88.4092,9679,Engineer, production,1991-04-11,bfcb2a7dbdb801ef3ffda993f05c095f,1336803110,43.088103,-89.19909,0
201480,2019-04-13 20:47:17,30143713661454,fraud_Lynch-Mohr,travel,7.52,Nicholas,Thornton,M,5270 Megan Burg Suite 756,Halma,MN,56729,48.6669,-96.5969,140,Embryologist, clinical,1942-01-06,10719e57b7a7698a54067e41cf5cf66c,1334350037,48.851593,-96.397978,0
12503,2019-01-08 05:15:39,5104807169438134,fraud_Lehner, Mosciski and King,misc_net,188.71,Regina,Johnston,F,641 Steven Mall Apt. 299,Westhampton Beach,NY,11978,40.8295,-72.6473,3255,Financial trader,1978-07-08,a1cf6929aa45177128f159626c60ae8a,1325999739,41.616289,-73.413219,0
1234281,2020-05-30 12:39:47,213148039875802,fraud_Bernier and Sons,kids_pets,145.62,Jill,Jacobs,F,034 Kimberly Mountains,Brandon,FL,33510,27.9551,-82.2966,79613,Environmental consultant,1978-11-30,cfeba3168dd74cb1cd811ff5ae2db0f6,1369917587,28.645209,-82.279664,0
652027,2019-10-05 04:56:14,630469040731,fraud_Wisozk and Sons,misc_pos,5.9,Meredith,Ayala,F,7107 Henderson Station,Cascade Locks,OR,97014,45.67100000000001,-121.8686,1288,Barrister,1936-05-01,059d90cc8437c8c4adec4920529e0136,1349412974,46.660088,-122.780409,0
352880,2019-06-14 20:08:38,5289285402893489,fraud_Kuhn Group,food_dining,16.54,Amanda,Adams,F,08580 Jeremy Falls,Bay City,OR,97107,45.5197,-123.8761,1530,Colour technologist,1986-11-24,93690baa0badfedfee3601fd81d6b33f,1339704518,45.071931,-123.115404,0
468722,2019-07-25 20:42:03,4060579726528237,fraud_Hodkiewicz, Prohaska and Paucek,travel,2.81,Steven,Sanders,M,25955 Amy Via,Ozawkie,KS,66070,39.2136,-95.4404,2661,Theatre director,1948-11-14,cb91d34847d6095f6b8953a6d766b114,1343248923,38.372227,-94.838233,0
406287,2019-07-03 09:47:28,30551643947183,fraud_Spencer-Runolfsson,misc_pos,78.77,Morgan,Smith,F,1441 Bradley Place,Grover,NC,28073,35.1836,-81.4552,5621,Toxicologist,1973-11-14,0452273f2f95e89d19aea31b377800fc,1341308848,34.885016,-81.862226,0
1155721,2020-04-27 06:38:51,213161231269724,fraud_Cole PLC,grocery_pos,107.2,Alyssa,Morgan,F,622 Robin Run Suite 764,Gadsden,AL,35901,34.048,-85.9246,67082,Physiological scientist,1963-02-09,252c4782fb49076bc0c32dcf3ec7f7eb,1367044731,34.229423,-85.708038,0
359898,2019-06-16 19:38:07,3545109339866548,fraud_Boyer-Reichert,shopping_net,8.91,Keith,Sanders,M,8030 Beck Motorway,Moorhead,MS,38761,33.4783,-90.5142,2870,Chartered public finance accountant,1999-03-05,2b0422f31461be588cf2f8305861e8e7,1339875487,33.267534999999995,-90.903386,0
1083490,2020-03-26 00:48:19,180094419304907,fraud_Durgan-Auer,misc_net,5.91,Sharon,Smith,F,17666 David Valleys,Sun City,CA,92585,33.7467,-117.1721,54287,Designer, exhibition/display,1972-09-22,48c8e30ace61b9a3a256a98c206406f4,1364258899,32.843874,-117.746839,0
1114671,2020-04-08 14:40:06,30491348102802,fraud_Lowe, Dietrich and Erdman,kids_pets,91.5,Tommy,Dixon,M,8829 Steele Station,Dresden,KS,67635,39.6094,-100.4112,169,Librarian, public,1953-07-30,3fb67efc851fefe6c5e28e376d45a9bb,1365432006,40.031441,-100.607065,0
519368,2019-08-12 06:19:25,4640395708703,fraud_Hills-Witting,shopping_net,6.54,Melissa,Krause,F,67632 Martin Gateway,Fordoche,LA,70732,30.6576,-91.6264,1178,Community education officer,1951-06-13,35f4ed41e9bacc39325ed2dc2f8bf395,1344752365,30.389629,-91.819771,0
58399,2019-02-04 11:51:06,4048508450704760,fraud_Vandervort-Funk,grocery_pos,92.7,Cheryl,Melton,F,5053 Bell Crescent Apt. 255,Fullerton,NE,68638,41.36600000000001,-98.0054,1749,Surveyor, mining,1973-05-07,529ddff2dffef650137c994bafb29a69,1328356266,40.736029,-97.493977,0
159149,2019-03-25 14:46:42,371226440126102,fraud_McGlynn-Heathcote,misc_net,69.05,Stacy,Lambert,F,85430 Julie Trafficway Suite 792,Mulberry Grove,IL,62262,38.9311,-89.2463,1810,Race relations officer,1974-12-24,0207ef07a840501faaaff5c566d0345b,1332686802,38.181347,-89.066057,0
639072,2019-09-29 07:06:34,4452366298769043,fraud_Heller, Gutmann and Zieme,grocery_pos,92.35,Linda,Davis,F,6602 Ortiz Pine Apt. 179,Blooming Grove,TX,76626,32.0758,-96.701,1563,Financial adviser,1978-03-04,63277752932f3085014f2dff3f809317,1348902394,32.224844,-95.929588,0
316915,2019-06-01 22:01:58,6011381817520024,fraud_Schiller, Blanda and Johnson,home,53.42,Kristen,Allen,F,8619 Lisa Manors Apt. 871,Lagrange,WY,82221,41.6423,-104.1974,635,Product/process development scientist,1973-07-13,3ccaa4c4f883fa54be6cf87cc583a94b,1338588118,41.78655,-103.72741,0
970734,2020-01-27 14:13:23,4228411452607671,fraud_Simonis-Prohaska,misc_pos,5.99,Aaron,Stewart,M,400 Zuniga Pine,Winthrop,ME,4364,44.3229,-69.9576,6025,Advertising account planner,1995-04-22,9f0efb7ce2d263b69368b4e7ca5c43fd,1359296003,44.376657,-70.603481,0
466331,2019-07-24 19:56:22,30135235368675,fraud_Friesen Inc,shopping_pos,33.49,Amanda,Williams,F,02018 Gary Key Apt. 911,Independence,MO,64058,39.1412,-94.3515,123373,Engineer, production,1992-11-27,09701d0a270e54742960c2876208c23c,1343159782,39.545681,-95.29634,0
484722,2019-07-31 03:34:42,4689147265057948423,fraud_Huels-Nolan,gas_transport,49.21,Steven,Brooks,M,2622 Reynolds Isle,Manley,NE,68403,40.9207,-96.168,206,Human resources officer,1967-10-04,c2810dd0047e734b57a2f0ea8336c633,1343705682,39.934585,-95.197574,0
373683,2019-06-22 04:18:15,345832460465610,fraud_Nicolas, Hills and McGlynn,entertainment,17.66,Jason,Mcmahon,M,6385 Donald Square Suite 429,Springfield,VA,22151,38.8029,-77.2116,104396,Production engineer,1950-11-20,e4cc814e624200e657c2c12c6392de4f,1340338695,39.623486,-78.086855,0
48643,2019-01-29 10:19:47,6517217825320610,fraud_Gislason Group,misc_pos,394.31,James,Reese,M,26975 Richardson Mills Apt. 402,Sontag,MS,39665,31.6453,-90.1801,1196,Librarian, academic,1958-06-11,e7b541961f49d3b1a81fc830ccfa1b43,1327832387,32.551387,-90.227784,0
889331,2019-12-23 20:02:05,4301028321766222513,fraud_Beier and Sons,home,87.72,Joe,Howard,M,109 Brian Lights Apt. 504,Shippingport,PA,15077,40.6025,-80.3863,198,Secretary/administrator,1978-10-26,6289115dcd5f1d5313fc7d9d9e24922b,1356292925,39.879031,-79.895593,0
63053,2019-02-06 17:54:23,30044330818990,fraud_Heathcote, Yost and Kertzmann,shopping_net,6.52,Allison,Ayala,F,87665 Karen Mill Apt. 586,Fort Myers,FL,33967,26.4722,-81.8122,224256,Paramedic,1985-08-29,14b2700f00b6667420dde53b2510e209,1328550863,26.554593,-82.484359,0
817812,2019-12-08 12:21:43,4715741951931168360,fraud_Pollich LLC,home,1.96,Robert,Drake,M,463 Willie Estates,Burbank,OK,74633,36.6966,-96.7869,471,Sub,1941-03-30,e1110d0abee0fb721edf50573f375814,1354969303,36.936172,-96.35381,0
907854,2019-12-28 17:53:30,3508104404056005,fraud_Abshire PLC,entertainment,7.87,Michael,Fisher,M,401 Escobar Port,East Troy,WI,53120,42.8035,-88.4092,9679,Engineer, production,1991-04-11,50a63a500791a8effbf19dc44e46915f,1356717210,42.772725,-88.023229,0
267664,2019-05-12 19:43:42,4471568287204,fraud_Gerhold LLC,home,45.42,Dakota,Maldonado,M,369 Cochran Radial,Pelham,NC,27311,36.4899,-79.4736,3402,Insurance underwriter,1927-10-24,b3c3a24d4ab1b4d785ed1c50b588b5e9,1336851822,36.480396,-80.313334,0
755623,2019-11-18 22:47:28,4797297220948468262,fraud_Hahn, Bahringer and McLaughlin,personal_care,6.12,Erica,Briggs,F,3310 Davidson Spurs Apt. 107,Oolitic,IN,47451,38.8938,-86.5246,1228,Counsellor,1991-03-13,ae3f4b0a60b4b7a93ba046eee610b40d,1353278848,39.787897,-85.75891899999999,0
828533,2019-12-10 06:51:19,4451952084362894,fraud_Wolf Inc,grocery_pos,90.7,Joseph,Davis,M,941 Adam Stravenue,Nazareth,TX,79063,34.5444,-102.1069,686,Petroleum engineer,1980-07-30,cb013fa812ee855e83725a2d946dbfc4,1355122279,33.920924,-101.81122,0
1240761,2020-06-01 13:15:53,4427805710168,fraud_Cruickshank-Mills,entertainment,40.16,Michelle,Rodriguez,F,1742 Brandon Squares Apt. 461,Ruidoso,NM,88355,33.3305,-105.6933,8874,Licensed conveyancer,2000-08-16,c3100f8b05662b25fccd9524f0f598b8,1370092553,33.454236,-106.012544,0
1272612,2020-06-12 20:13:12,4155021259183870,fraud_Labadie LLC,personal_care,89.46,Renee,Parrish,F,174 Jennifer Meadow Apt. 467,Mountain Park,OK,73559,34.7032,-98.9591,540,Research scientist (life sciences),1983-10-12,43e9f8fa7ce341ac0c143ac844f3a1b2,1371067992,34.810221000000006,-98.819305,0
797405,2019-12-03 11:48:08,4800395067176717,fraud_Connelly, Reichert and Fritsch,gas_transport,91.2,Daniel,Owens,M,88794 Mandy Lodge Apt. 874,Howells,NE,68641,41.6964,-96.9858,1063,Research scientist (maths),1928-04-02,3b465213d659e8b4b85bd890e148bf09,1354535288,40.843837,-97.076329,0
1008027,2020-02-18 11:21:10,4450831335606294,fraud_Rowe-Vandervort,grocery_net,25.89,Donna,Davis,F,6760 Donovan Lakes,Clayton,OK,74536,34.5906,-95.38,1760,Occupational psychologist,1972-01-20,3f9259ac6b5ad76d32e08827771d798c,1361186470,35.27138,-94.571957,0
375110,2019-06-22 15:43:10,4169388510116,fraud_Bahringer Group,health_fitness,32.42,Marcia,Molina,F,6744 Jimmy Extensions,Port Gibson,NY,14537,43.033,-77.1575,207,Database administrator,1962-09-27,be6e0359412d8be1c1866ed3e1e2afd1,1340379790,42.562865,-76.98679200000001,0
564716,2019-08-28 13:58:57,4605902936394,fraud_Crooks and Sons,personal_care,23.03,Vincent,Mueller,M,79019 Taylor Cliffs,Dallas,TX,75238,32.876999999999995,-96.708,1263321,Drilling engineer,1959-06-28,a12f201e16d1c78eb8461e05269055d5,1346162337,33.037197,-95.743787,0
430246,2019-07-12 04:40:53,4220495028289516646,fraud_Corwin-Collins,gas_transport,75.89,Bethany,Andrade,F,7898 Wanda Springs,Corona,CA,92882,33.8419,-117.6043,233717,Wellsite geologist,1966-05-22,f4add517c2dba8ac4d5db89d604e3db0,1342068053,34.459188,-116.673031,0
684056,2019-10-19 07:37:39,6011109736646996,fraud_Wiza LLC,misc_pos,1.8,Rebecca,Erickson,F,594 Berry Lights Apt. 392,Wilmington,NC,28405,34.2651,-77.867,186140,English as a second language teacher,1983-02-08,6f33ff5047dc49f178e610e7bbbed4f7,1350632259,35.027873,-78.318331,0
937741,2020-01-08 17:38:23,30030380240193,fraud_Hartmann, Rowe and Hermann,travel,485.58,William,Jenkins,M,50614 Kevin Point,Harper,TX,78631,30.2816,-99.241,2395,Pharmacist, community,1993-11-17,3da10247331c898e8d9291e66263946d,1357666703,30.699118,-98.95776,0
797902,2019-12-03 15:06:16,370612217861404,fraud_Shanahan-Lehner,personal_care,3.85,Amanda,Fitzgerald,F,298 Kayla Lights,Bristol,PA,19007,40.1159,-74.8536,21125,Administrator, charities/voluntary organisations,1985-05-25,b79a0e5afe3fdad10c787a9f0c213a34,1354547176,40.068355,-75.23431500000001,0
285703,2019-05-20 15:10:14,30518206766474,fraud_Cole, Hills and Jewess,home,88.34,Tamara,Martinez,F,471 Marquez Prairie Suite 680,Matthews,MO,63867,36.7154,-89.6287,1019,Aeronautical engineer,1979-01-26,757f3d5849f3c8ca32e2403e3dd480ee,1337526614,37.033751,-89.730378,0
1294713,2020-06-20 19:20:42,347073228412010,fraud_Ritchie, Bradtke and Stiedemann,travel,444.29,Ryan,Johnson,M,40178 Lisa Mission,Alva,WY,82711,44.6873,-104.4414,110,Administrator, local government,1973-05-16,6475d77100f740e7857f420890d98694,1371756042,44.346982,-103.927434,0
1183009,2020-05-09 13:08:05,4124536010991657,fraud_O'Connell, Botsford and Hand,home,13.3,Sydney,Montoya,F,265 Christian Summit Suite 231,Fairhope,AL,36532,30.5012,-87.8835,27829,Presenter, broadcasting,1954-07-21,ce33281a48f18ae3751f53a82e04bb51,1368104885,31.394109000000004,-86.998685,0
359765,2019-06-16 18:59:05,38199021865320,fraud_Erdman-Schaden,personal_care,69.59,Jesse,Roberts,M,8415 Vaughn Squares Apt. 788,Acworth,NH,3601,43.196000000000005,-72.3001,477,Naval architect,1988-04-15,540a707117097b72bc66e79a93c8c9ab,1339873145,43.212475,-71.81118000000001,0
265097,2019-05-11 23:29:26,60490596305,fraud_O'Reilly, Mohr and Purdy,home,349.79,Karen,Johnson,F,4349 Anna Flat Suite 214,Haynes,AR,72341,34.8838,-90.7666,222,Programmer, applications,1963-05-19,4da21bedd643f706d7e89c9b97402369,1336778966,34.064698,-90.963042,0
798525,2019-12-03 19:29:18,30357372465631,fraud_Eichmann-Kilback,home,45.31,John,Nichols,M,00821 Joanna Meadow,Dalton,WI,53926,43.6718,-89.1918,1628,Civil Service fast streamer,1967-09-30,16037afe60ad1b1975cb79cef2189b48,1354562958,44.022294,-89.131752,0
716155,2019-11-02 10:45:00,4063094974360571498,fraud_Tillman, Dickinson and Labadie,gas_transport,42.54,Patricia,Mendoza,F,1683 Davidson Freeway,Mendon,UT,84325,41.71,-111.9817,2078,Scientist, audiological,1963-06-13,6b2e5ec3645f9ab7c19d7f95c2c259f5,1351853100,42.249988,-111.168966,0
445272,2019-07-17 03:31:45,4365382885912355,fraud_Hackett-Lueilwitz,grocery_pos,107.87,Robert,Goodman,M,956 Paul Fields Suite 108,Orr,MN,55771,48.1439,-92.8561,1680,Horticultural therapist,1976-12-10,efe3a9e38ea919ef1ec219f83989aa14,1342495905,48.957221,-92.171545,0
1119919,2020-04-11 15:19:51,30235438713303,fraud_Klocko, Runolfsdottir and Breitenberg,health_fitness,13.78,James,Baldwin,M,3603 Mitchell Court,Winfield,WV,25213,38.5072,-81.89,5512,Exhibition designer,1980-03-24,4d58135ff8e64589ee844020907adf32,1365693591,39.019788,-82.872853,0
216314,2019-04-20 14:28:24,6538441737335434,fraud_Schoen Ltd,kids_pets,59.1,Gina,Grimes,F,444 Robert Mews,Clarks Mills,PA,16114,41.3851,-80.1752,606,Energy manager,1997-09-22,1b42716cd42adb46880ad0bd348d3ca4,1334932104,41.539556,-79.773765,0
1224638,2020-05-26 12:14:53,6011504998544485,fraud_Medhurst Inc,home,40.43,Ashley,Whitney,F,4038 Smith Avenue,Jones,AL,36749,32.5104,-86.8138,1089,Materials engineer,1971-11-02,d11689ccab681df21cea7c31b7cfe50b,1369570493,31.589749,-86.44251,0
105923,2019-03-02 17:04:45,630423337322,fraud_Kuhic, Bins and Pfeffer,shopping_net,4.69,Stephanie,Gill,F,43039 Riley Greens Suite 393,Orient,WA,99160,48.8878,-118.2105,149,Special educational needs teacher,1978-06-21,b9d9b33535a439137dbc313d3b89c0b2,1330707885,49.435183,-117.753512,0
696513,2019-10-24 15:05:22,6538441737335434,fraud_Brown-Greenholt,entertainment,116.4,Gina,Grimes,F,444 Robert Mews,Clarks Mills,PA,16114,41.3851,-80.1752,606,Energy manager,1997-09-22,b1987c74095ce5be226d65fcb33a59e0,1351091122,41.204252,-79.639922,0
841,2019-01-01 10:45:15,30044330818990,fraud_DuBuque LLC,grocery_pos,176.63,Allison,Ayala,F,87665 Karen Mill Apt. 586,Fort Myers,FL,33967,26.4722,-81.8122,224256,Paramedic,1985-08-29,17b19b638a84495b28677e1072c4ea24,1325414715,26.258936,-81.972659,0
576503,2019-09-01 16:29:18,2288748891690227,fraud_O'Reilly, Mohr and Purdy,home,3.78,Kathleen,Heath,F,9297 Victor Rest Apt. 382,Albuquerque,NM,87116,35.0561,-106.5506,641349,Charity officer,1967-01-24,439b5515d60885d680141c66aed5a0c0,1346516958,36.020097,-107.11228,0
190020,2019-04-08 07:21:56,4623560839669,fraud_Christiansen, Goyette and Schamberger,gas_transport,58.98,Vincent,Waller,M,9379 Vanessa Run Apt. 400,Lohrville,IA,51453,42.2619,-94.5566,695,Administrator,1954-07-15,c51fdc07b0c67a6cd2896275a955157e,1333869716,42.871437,-94.069521,0
883358,2019-12-22 19:57:08,4476840372112,fraud_O'Connell-Ullrich,home,12.02,Steven,Walters,M,3206 Hall Divide Suite 282,Woodville,AL,35776,34.6689,-86.2296,3395,Editor, commissioning,1979-01-21,48486f5aefde46beb728dd2fe649093d,1356206228,34.843156,-85.947012,0
1087689,2020-03-28 13:08:01,4653178848915023204,fraud_Hudson-Grady,shopping_pos,2.24,Robert,Hall,M,371 Anthony Trail Suite 354,Glade Spring,VA,24340,36.7779,-81.7676,5657,Clinical psychologist,1987-04-29,bf8d194692a9d9e8837ecb781d152b53,1364476081,36.710005,-82.709981,0
187670,2019-04-07 14:15:23,4797297220948468262,fraud_Waelchi Inc,kids_pets,26.47,Erica,Briggs,F,3310 Davidson Spurs Apt. 107,Oolitic,IN,47451,38.8938,-86.5246,1228,Counsellor,1991-03-13,21b91711ce7e23751cd2b54114a9abae,1333808123,39.661501,-87.385312,0
95329,2019-02-25 20:01:10,60422928733,fraud_Leannon-Nikolaus,travel,2.29,Jeffrey,Powers,M,38352 Parrish Road Apt. 652,North Augusta,SC,29860,33.6028,-81.9748,46944,Secondary school teacher,1942-04-02,1bcfde3ae5fd29d22edcd4f72df396cd,1330200070,32.978286,-81.286281,0
855905,2019-12-16 12:40:56,377113842678100,fraud_O'Connell, Botsford and Hand,home,32.65,Billy,Gallagher,M,673 Delgado Burg,Greenwich,NJ,8323,39.4055,-75.3209,804,Insurance risk surveyor,1965-03-25,ecf3cff893d47eeec287958f2dcbe9f8,1355661656,38.988831,-75.44242,0
722500,2019-11-04 12:51:59,6011367958204270,fraud_Berge-Hills,kids_pets,29.62,Tammy,Ayers,F,1652 James Mews,Hinckley,OH,44233,41.2419,-81.7453,7646,Medical sales representative,1988-09-15,09c6715e5708dff20a54d6d66b9cd690,1352033519,42.216718,-81.274835,0
673317,2019-10-13 23:39:09,30371006069917,fraud_Kihn, Brakus and Goyette,personal_care,54.75,Robert,James,M,92021 Miranda Meadows,Tamaroa,IL,62888,38.138000000000005,-89.2231,2135,Development worker, community,1961-01-31,5cc3ea7cc2ed411cb12533e9246904fa,1350171549,37.643343,-88.45338199999999,0
59457,2019-02-04 20:30:57,346273234529002,fraud_Goyette-Herzog,travel,5.2,Donna,Moreno,F,32301 Albert River Suite 364,Ronceverte,WV,24970,37.7418,-80.4626,4575,Statistician,1991-10-22,c21afda3e4ff14d89b98d602d8605a7d,1328387457,38.276893,-79.512833,0
813287,2019-12-07 16:50:06,376028110684021,fraud_Abernathy and Sons,food_dining,63.49,Aaron,Murray,M,624 Hale Springs Apt. 572,Meadville,MO,64659,39.7795,-93.3014,964,Tourist information centre manager,1974-12-23,763396fbc3a88a9d82ad7b42342a97b3,1354899006,40.259128,-92.301993,0
181848,2019-04-05 06:49:08,630469040731,fraud_Olson, Becker and Koch,gas_transport,51.28,Meredith,Ayala,F,7107 Henderson Station,Cascade Locks,OR,97014,45.67100000000001,-121.8686,1288,Barrister,1936-05-01,c5e898e64b21ae9a898bc3c97555c177,1333608548,45.668759,-122.794025,0
812990,2019-12-07 15:45:03,3567697931646329,fraud_Hudson-Grady,shopping_pos,1.95,John,Stevens,M,428 Morgan River,Hudson,NY,12534,42.247,-73.7552,17867,Travel agency manager,1998-07-29,4665e328a3447c911d6b96005d6b2669,1354895103,42.459935,-74.009629,0
1011558,2020-02-21 04:08:26,180067151859700,fraud_Deckow-O'Conner,grocery_pos,207.83,Karen,Ryan,F,82468 Michelle Village Suite 556,Joliet,IL,60432,41.5378,-88.0572,128354,Teacher, secondary school,1992-01-20,05ade87c77db7a26a671b3a8e575506f,1361419706,41.127044,-87.479762,0
622782,2019-09-22 03:19:34,4561546772499,fraud_McGlynn-Heathcote,misc_net,9.82,Daniel,Briggs,M,7118 Jessica Unions Apt. 789,Moriarty,NM,87035,34.9889,-106.0609,7268,Therapist, art,1988-08-04,272f35e64faa76c7f8a7990bc20211bc,1348283974,34.524372,-106.842101,0
786644,2019-12-01 13:24:19,4383521454815,fraud_Ruecker-Mayert,kids_pets,108.75,John,Robertson,M,209 Austin Stream Apt. 231,Indianapolis,IN,46290,39.9347,-86.1633,910148,Academic librarian,1987-09-22,6cdca9ecb5155cb95dbd7d8ddd2c970c,1354368259,39.27514,-86.202619,0
638650,2019-09-29 03:08:25,3513285035244624,fraud_Donnelly PLC,misc_net,165.9,Ariana,Campbell,F,50932 Neal Valley,Daniels,WV,25832,37.7256,-81.1087,3994,Biochemist, clinical,1936-11-05,9553f00c06d7f81b3e781e49ddc5ff3a,1348888105,37.918927,-82.00155,0
933025,2020-01-05 21:11:31,4587577161160601,fraud_Reichert, Huels and Hoppe,shopping_net,7.86,Tina,Lawrence,F,12444 Jacob Pines,Nobleboro,ME,4555,44.0943,-69.4828,1643,Financial trader,1976-04-12,ff74a9e24f967f1c669b77de4be85595,1357420291,43.600633,-70.416437,0
965517,2020-01-25 06:15:16,60490596305,fraud_Romaguera, Cruickshank and Greenholt,shopping_net,59.52,Karen,Johnson,F,4349 Anna Flat Suite 214,Haynes,AR,72341,34.8838,-90.7666,222,Programmer, applications,1963-05-19,8354660cd9a75d4defd0fd87100c2431,1359094516,35.280512,-89.84240799999999,0
821997,2019-12-09 01:36:49,4005676619255478,fraud_Schultz, Simonis and Little,grocery_pos,87.34,William,Perry,M,458 Phillips Island Apt. 768,Denham Springs,LA,70726,30.459,-90.9027,71335,Herbalist,1994-05-31,6379bb4eae5289deabb2da690f151398,1355017009,31.229152000000003,-91.261237,0
1262973,2020-06-09 00:15:55,3513618443244549,fraud_Lehner, Mosciski and King,misc_net,15.15,Amber,Perez,F,954 Reyes Ways,Fulton,SD,57340,43.7588,-97.8712,355,Financial adviser,1955-06-26,c88c209ee12130f6d08d350caaca1c41,1370736955,43.317323,-97.619428,0
523300,2019-08-13 13:23:24,213157767990030,fraud_Gleason and Sons,kids_pets,81.81,Tara,Campbell,F,05050 Rogers Well Apt. 439,Rock Springs,WY,82901,41.606,-109.23,27971,Music therapist,1984-08-01,0738172c7def8293237df340c8288f9c,1344864204,42.268534,-108.416548,0
960330,2020-01-21 11:18:49,180056173248083,fraud_Torp-Labadie,gas_transport,62.75,Larry,Warner,M,145 Jeffrey Key Suite 668,Lakeview,MI,48850,43.4269,-85.2924,4474,Emergency planning/management officer,1976-01-15,03ae5133c061cf2a990ab8f55ea0a50e,1358767129,43.345611,-85.262235,0
583784,2019-09-04 16:21:33,3568255211412877,fraud_Wuckert, Wintheiser and Friesen,home,57.59,Timothy,Gomez,M,707 Anthony Causeway,Leo,IN,46765,41.2249,-85.0301,5341,Biomedical engineer,1994-11-24,cb884c4e5dec5d6f69825196f52c344a,1346775693,41.534209,-85.447245,0
515378,2019-08-11 06:39:58,3533742182628021,fraud_Murray Ltd,grocery_net,22.21,Robert,Haynes,M,857 Aaron Circles Suite 398,Johns Island,SC,29455,32.8357,-79.8217,20478,Materials engineer,1997-06-04,6fb9f913a9faff395ae79e4eb9112d3d,1344667198,33.704209000000006,-80.271114,0
546249,2019-08-22 02:00:35,4079773899158,fraud_Jast-McDermott,shopping_pos,4.81,Eric,Preston,M,7020 Doyle Stream Apt. 951,Mesa,ID,83643,44.6255,-116.4493,129,Cartographer,1965-12-15,ad05d56a95a04d9d97ae0e15792d2f2a,1345600835,43.717532,-115.629508,0
1240494,2020-06-01 12:01:45,30230540139182,fraud_Eichmann-Kilback,home,60.62,Hayden,Sanders,M,8465 Reed Green Suite 559,Montandon,PA,17850,40.9661,-76.8575,645,Orthoptist,1974-05-18,e0b34bcb2d1f90c9aa20c8680512af16,1370088105,40.578915,-76.295059,0
957089,2020-01-19 19:35:44,180056173248083,fraud_Keeling-Crist,misc_pos,179.23,Larry,Warner,M,145 Jeffrey Key Suite 668,Lakeview,MI,48850,43.4269,-85.2924,4474,Emergency planning/management officer,1976-01-15,136ab70e3d41f9fa11d83a50573ae000,1358624144,43.733989,-84.53326899999999,0
499651,2019-08-05 07:12:16,4613314721966,fraud_Mosciski, Gislason and Mertz,grocery_pos,109.61,Jason,Murphy,M,542 Steve Curve Suite 011,Collettsville,NC,28611,35.9946,-81.7266,885,Soil scientist,1988-09-15,cf0b25b99b34a13f17a07a01a3e6e906,1344150736,36.672991,-81.26343299999999,0
691318,2019-10-21 17:50:30,4518350514020532,fraud_Goyette-Gerhold,kids_pets,141.39,Christopher,Gregory,M,9579 Porter Tunnel,Wauchula,FL,33873,27.5517,-81.8074,14742,Teaching laboratory technician,1993-02-26,261156a1f2dc44d7db31c985c3024ac3,1350841830,27.611997,-82.163833,0
283808,2019-05-19 23:06:13,6538441737335434,fraud_Lubowitz, Terry and Stracke,personal_care,75.68,Gina,Grimes,F,444 Robert Mews,Clarks Mills,PA,16114,41.3851,-80.1752,606,Energy manager,1997-09-22,c55f7b6ad8c85f8e01f722ccfb97cafd,1337468773,41.190001,-79.62830799999999,0
98171,2019-02-27 00:44:43,3518758680062249,fraud_Kovacek, Dibbert and Ondricka,grocery_pos,68.22,Antonio,Koch,M,8738 Richard Brooks,Moab,UT,84532,38.5677,-109.5271,9772,Location manager,1989-11-24,20aecd6c97fc95fad8095b57a54cc687,1330303483,39.42967,-109.254259,0
438010,2019-07-14 16:54:35,4500002361389,fraud_Lubowitz, Terry and Stracke,personal_care,64.73,Joseph,Nixon,M,86882 Desiree Camp Suite 047,Tyaskin,MD,21865,38.2833,-75.8465,470,Music tutor,1965-04-07,37c6580cd84f47a91b1603d7b3d559a7,1342284875,38.969343,-76.10788000000001,0
428771,2019-07-11 14:22:14,4373370572092720777,fraud_Mueller, Gerhold and Mueller,health_fitness,7.36,Hailey,Rhodes,F,337 Michael Harbors Suite 722,Michigan,ND,58259,48.0204,-98.1186,454,Producer, television/film/video,1972-07-29,a528a8f03a05bc3a31900c435e11ef37,1342016534,47.890440000000005,-98.452361,0
1178921,2020-05-07 06:18:51,4244953610136705533,fraud_Padberg-Welch,grocery_pos,94.04,Christopher,Odom,M,81446 Nicole Highway Apt. 874,Richland,NJ,8350,39.485,-74.8776,825,Licensed conveyancer,1991-07-06,89238c9e4020ea69794c31c45095f795,1367907531,39.586859,-75.584974,0
397351,2019-06-30 10:40:24,3583635130604947,fraud_Goldner, Kovacek and Abbott,grocery_pos,182.74,Crystal,Gamble,F,899 Michele View Suite 960,Philadelphia,PA,19149,40.0369,-75.0664,1526206,Structural engineer,1985-01-01,181ffa47780d9abc5053e45b0ca3e441,1341052824,40.890465,-75.075629,0
341285,2019-06-10 03:10:47,2291163933867244,fraud_Padberg-Welch,grocery_pos,99.33,Jeff,Elliott,M,351 Darlene Green,Columbia,SC,29209,33.9659,-80.9355,333497,Mechanical engineer,1968-03-19,04ed747813c7e52dc4ed244140a3eba1,1339297847,34.745666,-80.220012,0
1231061,2020-05-29 02:06:23,30150717898388,fraud_Schumm PLC,shopping_net,10.65,Raymond,Lloyd,M,5930 Rebecca Bridge Apt. 444,Paint Rock,AL,35764,34.7031,-86.3068,653,Paediatric nurse,1966-06-19,44ba191852c9dba9d21b340f96109f01,1369793183,35.268957,-85.501164,0
575787,2019-09-01 12:53:10,3533742182628021,fraud_Hamill-D'Amore,health_fitness,1.36,Robert,Haynes,M,857 Aaron Circles Suite 398,Johns Island,SC,29455,32.8357,-79.8217,20478,Materials engineer,1997-06-04,56e4b5959328b5fdee892bacbcec8ca0,1346503990,33.649977,-80.627933,0
1292994,2020-06-20 00:33:16,4670613943676271,fraud_Kuhn LLC,shopping_pos,4.0,Bianca,Novak,F,0953 David Skyway,Cuthbert,GA,39840,31.7706,-84.7936,5726,Fitness centre manager,1947-08-14,0c699971fcaed06772773e1e8631b22a,1371688396,31.455765000000003,-84.296814,0
425022,2019-07-09 19:18:04,4509922033272157,fraud_Mayert Group,shopping_pos,7.14,Monica,West,F,22084 Smith Roads Suite 776,Hurley,SD,57036,43.2893,-97.1904,811,Neurosurgeon,1972-03-28,b6f56863831556ee53bd927db4a91442,1341861484,42.675751,-96.884522,0
312658,2019-05-31 12:52:57,4570636521433188,fraud_Heathcote, Yost and Kertzmann,shopping_net,2.56,Christine,Leblanc,F,5097 Jodi Vista Suite 811,Deltona,FL,32725,28.8989,-81.2473,88735,Commercial horticulturist,1988-04-09,f43f621d572b927802144d2ed00594bb,1338468777,28.788886,-80.88261,0
823474,2019-12-09 08:36:51,4149238353975790,fraud_Simonis-Prohaska,misc_pos,37.22,Tanner,Carroll,M,494 Burke Ports,Cokeburg,PA,15324,40.1008,-80.0652,632,Dealer,1989-04-08,1fa0b29a9b34ed448da4de72887d1963,1355042211,39.965788,-79.273347,0
508915,2019-08-09 01:13:15,4809701904914,fraud_Spinka Inc,grocery_net,39.35,Sabrina,Nolan,F,312 Eric Expressway Apt. 014,Phenix City,AL,36869,32.4204,-85.0796,59744,Chemical engineer,1984-02-07,e754d1d313d359ca9a1f659cb06da3d1,1344474795,32.256683,-85.805403,0
618813,2019-09-20 14:09:43,60422928733,fraud_Schumm PLC,health_fitness,7.29,Jeffrey,Powers,M,38352 Parrish Road Apt. 652,North Augusta,SC,29860,33.6028,-81.9748,46944,Secondary school teacher,1942-04-02,495e113cb07b42b1e85839864d1675f2,1348150183,33.120082000000004,-81.536589,0
370868,2019-06-21 00:31:38,3513506355699497,fraud_McCullough, Hudson and Schuster,food_dining,48.95,Sarah,Adams,F,5654 Peterson Land,Ridgeland,MS,39157,32.4122,-90.1207,24645,Scientist, clinical (histocompatibility and immunogenetics),1966-05-29,bc320135fa1a1168ea57cdac7bb3a408,1340238698,32.663637,-91.007342,0
288177,2019-05-21 17:51:01,372509258176510,fraud_Towne, Greenholt and Koepp,shopping_net,3.11,Kristen,Hanson,F,26544 Andrea Glen,Goodrich,MI,48438,42.9147,-83.4845,6951,Learning disability nurse,1985-06-18,bb69e08a96d1f2e58ccfb2437350e5e6,1337622661,41.971892,-83.448476,0
422308,2019-07-08 17:27:50,4452366298769043,fraud_Padberg-Sauer,home,122.66,Linda,Davis,F,6602 Ortiz Pine Apt. 179,Blooming Grove,TX,76626,32.0758,-96.701,1563,Financial adviser,1978-03-04,ae23b8d83fae75bb644efcf85c1a0426,1341768470,31.498494,-97.033608,0
989885,2020-02-08 13:18:27,630423337322,fraud_Willms, Kris and Bergnaum,shopping_pos,19.11,Stephanie,Gill,F,43039 Riley Greens Suite 393,Orient,WA,99160,48.8878,-118.2105,149,Special educational needs teacher,1978-06-21,8c5f8ee9e47133ea653ceb56964cea9c,1360329507,49.854078,-118.486627,0
525299,2019-08-14 13:14:01,630451534402,fraud_O'Connell-Ullrich,home,37.01,Rachel,Daniels,F,561 Little Plain Apt. 738,Wetmore,MI,49895,46.3535,-86.6345,765,Immunologist,1972-06-12,93d2bfb1e8315cf01f00c58c31d32c21,1344950041,46.504117,-85.781171,0
614571,2019-09-18 04:41:25,377113842678100,fraud_Bednar Group,misc_net,256.01,Billy,Gallagher,M,673 Delgado Burg,Greenwich,NJ,8323,39.4055,-75.3209,804,Insurance risk surveyor,1965-03-25,4fd3149d68766a752a02ae6520cfb503,1347943285,39.563298,-74.93776,0
100071,2019-02-28 16:53:59,3592325941359225,fraud_Hintz, Bauch and Smith,health_fitness,22.39,Ashley,Robinson,F,1007 Colton Forks,Hopewell,VA,23860,37.2876,-77.295,31970,Purchasing manager,1935-08-15,99ccacd84f6e31bf55db72165b2d31fb,1330448039,36.385716,-77.861216,0
212917,2019-04-18 22:52:59,6011399591920186,fraud_Haley, Jewess and Bechtelar,shopping_pos,2.26,Maria,Roy,F,58665 Nicholas Ford Suite 348,Sheffield,MA,1257,42.1001,-73.3611,2121,Radio producer,1973-10-14,352d392904061b4e31162b984b8283f1,1334789579,42.549985,-73.633062,0
1104427,2020-04-04 21:42:45,213154573301411,fraud_Cronin, Kshlerin and Weber,health_fitness,74.44,Christopher,Sheppard,M,39218 Baker Shoals,Bristow,IN,47515,38.1981,-86.6821,965,Horticultural therapist,1982-02-10,f16aa500a3c67310a040c79ee1e9195b,1365111765,39.145990000000005,-86.472187,0
493468,2019-08-03 16:46:45,3560318482131952,fraud_Ruecker-Mayert,kids_pets,18.11,William,Skinner,M,524 Wu Spurs Suite 894,Mount Hope,AL,35651,34.4793,-87.4769,1312,Librarian, academic,1955-02-01,974ae65fca36c9326f1e94ad42e380d2,1344012405,34.967859000000004,-86.694301,0
324637,2019-06-03 21:35:56,345933964507467,fraud_Schuppe, Nolan and Hoeger,shopping_pos,8.63,Carol,Dillon,F,27479 Reeves Dale,Whaleyville,MD,21872,38.4121,-75.2811,718,Regulatory affairs officer,1985-03-19,1bea6898a7f1ed0c5e4aff3facbd70a2,1338759356,38.763241,-75.020905,0
460918,2019-07-22 14:04:48,6011399591920186,fraud_Gibson-Deckow,entertainment,41.05,Maria,Roy,F,58665 Nicholas Ford Suite 348,Sheffield,MA,1257,42.1001,-73.3611,2121,Radio producer,1973-10-14,9c519243d9109a5a4beb7a5edeb8a7ad,1342965888,42.39088,-72.537752,0
677531,2019-10-15 18:23:29,30270432095985,fraud_White and Sons,home,35.06,Lisa,Lin,F,908 Brooks Brook,Lomax,IL,61454,40.6761,-91.0391,725,Environmental consultant,1972-11-28,0828275e761ab49b78b18f845964951b,1350325409,40.138115,-91.559257,0
957423,2020-01-19 22:27:09,6564459919350820,fraud_Eichmann-Kilback,home,14.16,Douglas,Willis,M,619 Jeremy Garden Apt. 681,Benton,WI,53803,42.5545,-90.3508,1306,Public relations officer,1958-09-10,642ae61d9b8c5376f8d970300a3a5204,1358634429,42.890894,-90.093006,0
486792,2019-08-01 02:55:32,4756039869079882102,fraud_Donnelly LLC,entertainment,49.93,Francisco,Hernandez,M,980 Smith Gardens,Gainesville,TX,76240,33.6547,-97.1583,26120,Engineer, manufacturing,1954-01-06,3d6ebd1948a16fcd796db64d4d581ff8,1343789732,32.658111,-96.982135,0
1156407,2020-04-27 12:47:12,4477156602511939689,fraud_Larkin Ltd,kids_pets,39.61,Angela,Ross,F,0107 Clements Point,American Fork,UT,84003,40.3928,-111.7941,42384,Futures trader,1992-12-29,00dc2a92b6cf0b6eb16e8faef7c6a49e,1367066832,39.451583,-112.734235,0
317485,2019-06-02 02:07:00,573860193545,fraud_Schmitt Inc,gas_transport,75.01,Cristian,Jones,M,0423 Kirby Field Suite 623,Wilmette,IL,60091,42.0765,-87.7246,27020,Trade mark attorney,1986-07-23,6fec282e0820d2352ee5d314bc912d19,1338602820,42.770979,-87.95137700000001,0
219098,2019-04-21 13:02:09,36153880429415,fraud_Langworth LLC,personal_care,5.45,Erik,Stevens,M,84033 Pitts Overpass,Lakeland,FL,33809,28.1762,-81.9591,237282,Plant breeder/geneticist,1949-10-13,787011a09b70389075193edae86f43b8,1335013329,29.023106,-81.751021,0
831779,2019-12-11 08:43:44,374125201044065,fraud_Pouros-Haag,shopping_pos,6.55,Christopher,Gilbert,M,20937 Reed Lakes Apt. 271,Washington,DC,20012,38.9757,-77.0282,601723,Optician, dispensing,1970-07-20,ef2a504a994f1ce5186c8880f5e6e295,1355215424,39.941887,-77.927153,0
301896,2019-05-27 02:16:34,5559857416065248,fraud_Reilly, Heaney and Cole,gas_transport,66.84,Jack,Hill,M,5916 Susan Bridge Apt. 939,Grenada,CA,96038,41.6125,-122.5258,589,Systems analyst,1945-12-21,95b44aedd88fdb43777ca4803972e26d,1338084994,41.479778,-122.413089,0
271416,2019-05-14 00:22:52,4777065439639721,fraud_Moore, Dibbert and Koepp,misc_net,65.8,Peter,Caldwell,M,08966 Beltran Route Suite 905,Oaks,PA,19456,40.1334,-75.4536,737,Oceanographer,1987-04-24,448573c0038ce68b3601a6e8ba00d0d2,1336954972,40.403619,-76.37012,0
761332,2019-11-22 09:04:36,3559723917628303,fraud_Mohr-Bayer,shopping_net,88.7,Matthew,Huerta,M,622 Williams Trafficway,Ringwood,IL,60072,42.4048,-88.3054,928,Outdoor activities/education manager,1985-05-13,6761de22a2e0ad243bde55f1fe9f142e,1353575076,42.297607,-87.982782,0
240295,2019-04-30 08:08:53,343668971234893,fraud_Berge LLC,gas_transport,79.97,Sally,Moore,F,835 Reese Views Suite 884,Hopkins,SC,29061,33.9349,-80.8449,13717,Chiropodist,1949-11-16,ce8a07d8d20850a5a22fb2f7870aaaeb,1335773333,33.639664,-81.457838,0
882342,2019-12-22 16:52:32,30238755902988,fraud_Daugherty LLC,kids_pets,3.03,Danielle,Yu,F,5395 Colon Burgs Suite 037,Thrall,TX,76578,30.592,-97.2893,1766,Press sub,1976-01-02,47f157662aac347188905618806ab887,1356195152,30.656561,-96.879683,0
452993,2019-07-20 12:11:15,4607072969078276,fraud_Waelchi Inc,kids_pets,41.42,Brenda,Perez,F,033 Tara Brook Suite 523,Coyle,OK,73027,35.8985,-97.2607,1493,Amenity horticulturist,1985-03-21,ded1bee3e78e103312b5e08b7d6eb568,1342786275,35.116943,-97.658422,0
58521,2019-02-04 12:51:20,3502088871723054,fraud_Jast-McDermott,shopping_pos,34.03,Scott,Martin,M,31472 Cody Place Suite 740,Kensington,MD,20895,39.0298,-77.0793,19054,Operations geologist,1976-09-08,132e62e38e842b164464260273b689c3,1328359880,39.223377,-77.112364,0
434463,2019-07-13 17:22:57,343819048608995,fraud_Berge-Hills,kids_pets,72.06,Shelby,Cannon,F,1535 Ryan Burgs Suite 919,Des Moines,IA,50312,41.5855,-93.6719,222785,Wellsite geologist,1956-01-24,08eb781e9d1b749f45727330605b459c,1342200177,41.832122,-94.266019,0
|
32dce15b70cb2d095d306a0b7d300e8a
|
{
"intermediate": 0.22854554653167725,
"beginner": 0.4709840416908264,
"expert": 0.30047041177749634
}
|
41,729
|
Hi there, could you help me pick some good vst plugins for making deep dubstep
|
d21862d3ce16f542bd31e8fa48e4ff9f
|
{
"intermediate": 0.24095502495765686,
"beginner": 0.25097838044166565,
"expert": 0.5080665349960327
}
|
41,731
|
hi
|
d2cbf8b73c72c7a0e7a54d4853f07a56
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
41,732
|
my fix my code ; Include the CvJoyInterface library using its absolute path
#include C:\Users\Owner\Desktop\mouse\AHK-CvJoyInterface-master\CvJoyInterface.ahk
; Instantiate the CvJoyInterface class
vJoyInterface := new CvJoyInterface()
; Verify that vJoy is enabled
if (!vJoyInterface.vJoyEnabled()) {
MsgBox, vJoy is not enabled. Please check your vJoy installation.
ExitApp
}
; Acquire the vJoy device
deviceID := 1 ; Assuming you are using vJoy device 1
if (!vJoyInterface.AcquireVJD(deviceID)) {
MsgBox, Failed to acquire vJoy device number 1.
ExitApp
}
; Initialize global variables to track the last mouse position
global lastMouseX := 0, lastMouseY := 0
MouseGetPos, lastMouseX, lastMouseY ; Initialize with current mouse position
; Main script loop to monitor and translate mouse movements to vJoy
Loop {
; Get the current mouse position
MouseGetPos, mouseX, mouseY
; Calculate the change in position (delta)
deltaX := mouseX - lastMouseX
deltaY := mouseY - lastMouseY
; Update lastMouseX and lastMouseY for the next loop iteration
lastMouseX := mouseX, lastMouseY := mouseY
; Convert mouse delta to a vJoy-compatible value (e.g., -100 to 100 becomes 0 to 32767)
; This is a simplistic conversion; you may need a more sophisticated method depending on your needs
joystickX := 16384 + (deltaX * 163.84) ; Example conversion
joystickY := 16384 + (deltaY * 163.84) ; Example conversion
; Ensure joystickX and joystickY values are within the vJoy range
joystickX := max(0, min(32767, joystickX))
joystickY := max(0, min(32767, joystickY))
; Set the axis values on the vJoy device
; Adjust these method calls based on the actual AHK-CvJoyInterface library
vJoyInterface.Devices[deviceID].SetAxis(joystickX, deviceID, "X")
vJoyInterface.Devices[deviceID].SetAxis(joystickY, deviceID, "Y")
Sleep, 10 ; Sleep to reduce CPU usage
}
; Function to handle script exit
OnExit("ExitScript")
ExitScript:
vJoyInterface.RelinquishVJD(deviceID) ; Release the vJoy device
ExitApp
Return
|
c6f3e0c53a7a3e02cbb4d593a1085b5c
|
{
"intermediate": 0.3766109049320221,
"beginner": 0.48152437806129456,
"expert": 0.14186471700668335
}
|
41,733
|
i have a vertical menu on mobile on my wordpress website. Is there a way to use a different themes mobile menu to replace my current theme's(flatsome) menu on mobile devices
|
1cd5548060df191142f4c92430e34a3a
|
{
"intermediate": 0.3669678270816803,
"beginner": 0.38282766938209534,
"expert": 0.25020456314086914
}
|
41,734
|
Can you write c++ code for the following? It should use omp.h for multithreading and use the following threads in different iterations: 1,2,4,6,8,10,12,16
Sorting and Merging Subsequences: You are given a sequence of 10^9 elements to sort. The input sequence consists of 10^3 subsequences, each of which contains 10^6 elements. The elements in a given subsequence are all smaller than the elements in the succeeding subsequence and larger than the elements in the preceding subsequence. Sort the input sequence by varying the number of threads
|
29401f08d9a0472f5cdceb998198e31d
|
{
"intermediate": 0.5033511519432068,
"beginner": 0.17117372155189514,
"expert": 0.32547512650489807
}
|
41,735
|
To create an animated RGB glowing effect that transitions smoothly around the border of an element, like the lighting on a Razer Blade RGB keyboard, you can use a gradient along with the @keyframes CSS animation. You need to create a gradient that simulates the RGB light colors and then animate this gradient around the border.
Here is an example of how you could create this effect:
.off-canvas-center .mfp-inline-holder .mfp-content {
/* Existing styles… /
position: relative; / To position the pseudo-element /
animation: rotateColors 10s linear infinite; / Apply the rotate animation /
}
.off-canvas-center .mfp-inline-holder .mfp-content::after {
content: ‘’;
position: absolute;
top: -5px; / Adjust the position and size to fit the border /
right: -5px;
bottom: -5px;
left: -5px;
border-radius: 24px; / Same as your element’s border-radius /
background: linear-gradient(
270deg,
rgb(255, 0, 0),
rgb(255, 255, 0),
rgb(0, 255, 0),
rgb(0, 255, 255),
rgb(0, 0, 255),
rgb(255, 0, 255),
rgb(255, 0, 0)
);
background-size: 400% 400%; / Large size to spread the gradient /
z-index: -1; / Put it behind the content /
filter: blur(10px); / Create the glow effect /
animation: moveGradient 8s linear infinite; / Apply the gradient animation */
}
@keyframes rotateColors {
0% {
filter: hue-rotate(0deg);
}
100% {
filter: hue-rotate(360deg);
}
}
@keyframes moveGradient {
0% {
background-position: 0% 50%;
}
50% {
background-position: 100% 50%;
}
100% {
background-position: 0% 50%;
}
}
In this CSS:
- A pseudo-element (::after) is created to sit behind the content and to serve as the glowing border.
- The background of the pseudo-element is set as a gradient that covers the color spectrum.
- background-size is set to a large percentage to stretch out the gradient.
- filter: blur(10px); adds a glow effect to the gradient.
- The rotateColors animation is applied to the element to rotate the hue across the spectrum.
- The moveGradient animation moves the gradient horizontally, creating the effect of the colors moving around the border.
- position: relative; is added to the original element to ensure the pseudo-element is positioned relative to it.
- position: absolute; and z-index: -1; are used in the pseudo-element to place the gradient behind the content, and positioning offsets like top, right, bottom, and left are set to expand the gradient beyond the content box, so it appears as a border.
Adjust the filter: blur(); value and the border position offset to achieve the desired glow strength and border widths. Also, tweak the animations’ durations (10s and 8s) to match the speed of the Razer Blade RGB keyboard effect you are mimicking.
Remember to add this CSS to a section of your website that allows custom CSS, such as the WordPress Customizer, as mentioned in previous answers.
No the animated color should be on the border not the body
|
9e08e5ca9b466b1a3d77e4a8609f8109
|
{
"intermediate": 0.4173572063446045,
"beginner": 0.4281257390975952,
"expert": 0.15451698005199432
}
|
41,736
|
check this code:
pub fn cmp_exons(
cn_exons: &mut Vec<(u32, u32)>,
tx_exons: Vec<&(u32, u32)>,
id: Arc<str>,
) -> (Status, Vec<usize>) {
let mut cn_idx = VecDeque::from_iter(0..cn_exons.len());
let mut matches = vec![];
let mut status = Status::Pass;
let mut last_exon_end: u32 = 0;
// let last = tx_exons.len() - 1;
for (start, end) in tx_exons.iter().map(|t| (**t)) {
for exon in cn_exons
.iter()
.skip_while(|e| (start >= e.0 && end <= e.1) || start > e.1 || end < e.0)
{
if end < exon.0 {
println!("{:?} {:?}", exon, (start, end));
}
}
}
// println!("{:?} has {:?} intron retentions", id, inrets);
(status, matches)
}
this is the output:
(15546530, 15546788) (15537701, 15545347)
(15549468, 15549525) (15537701, 15545347)
why these are not being catch by skip_while? In theory, since end < end.0 in both cases, these should be skipped
|
909eb4c4ace8dd5e278413875ec23487
|
{
"intermediate": 0.41103097796440125,
"beginner": 0.4402979016304016,
"expert": 0.14867110550403595
}
|
41,737
|
Can you write c++ code for the following? It should use omp.h for multithreading and use the following threads in different iterations: 1,2,4,6,8,10,12,16. The code should also utilise time.h to measure the amount of time taken in each iteration. The time taken in each iteration should be the output
Sorting and Merging Subsequences: You are given a sequence of 10^9 elements to sort. The input sequence consists of 10^3 subsequences, each of which contains 10^6 elements. The elements in a given subsequence are all smaller than the elements in the succeeding subsequence and larger than the elements in the preceding subsequence. Sort the input sequence by varying the number of threads
|
d49d37009ed010ad2aa3a7191b41dcb5
|
{
"intermediate": 0.5357186794281006,
"beginner": 0.14302751421928406,
"expert": 0.32125377655029297
}
|
41,738
|
PS E:\diplom\progress_control\backend> prisma db push
Environment variables loaded from .env
Prisma schema loaded from prisma\schema.prisma
Datasource "db": MySQL database "db_union" at "localhost:3306"
Error: Cannot add or update a child row: a foreign key constraint fails (`db_union`.`#sql-1984_42`, CONSTRAINT `control_event_group_id_fkey` FOREIGN KEY (`group_id`) REFERENCES `studygroups` (`id`) ON UPDATE CASCADE)
0: sql_schema_connector::apply_migration::migration_step
with step=AddForeignKey { foreign_key_id: ForeignKeyId(0) }
at schema-engine\connectors\sql-schema-connector\src\apply_migration.rs:21
1: sql_schema_connector::apply_migration::apply_migration
at schema-engine\connectors\sql-schema-connector\src\apply_migration.rs:10
2: schema_core::state::SchemaPush
at schema-engine\core\src\state.rs:436
|
000db4188fa4084764c7c070058e7b11
|
{
"intermediate": 0.3707547187805176,
"beginner": 0.39891213178634644,
"expert": 0.23033320903778076
}
|
41,739
|
Instructions
A new poetry club has opened in town, and you're thinking of attending. Because there have been incidents in the past, the club has a very specific door policy which you'll need to master, before attempting entry.
There are two doors at the poetry club, a front and a back door, and both are guarded. To gain entry, you'll need to work out the password of the day.
The password is always based on a poem and can be derived in a two-step process.
The guard will recite the poem, one line at a time and you have to respond with an appropriate letter of that line.
The guard will now tell you all the letters you responded with at once, and you need to write them down on a piece of paper in a specific format.
The details of the process depend on which door you are trying to enter.
/**
* Respond with the correct character, given the line of the
* poem, if this were said at the front door.
*
* @param {string} line
* @returns {string}
*/
export function frontDoorResponse(line) {
throw new Error('Remove this line and implement the function');
}
/**
* Format the password for the front-door, given the response
* letters.
*
* @param {string} word the letters you responded with before
* @returns {string} the front door password
*/
export function frontDoorPassword(word) {
throw new Error('Remove this line and implement the function');
}
/**
* Respond with the correct character, given the line of the
* poem, if this were said at the back door.
*
* @param {string} line
* @returns {string}
*/
export function backDoorResponse(line) {
throw new Error('Remove this line and implement the function');
}
/**
* Format the password for the back door, given the response
* letters.
*
* @param {string} word the letters you responded with before
* @returns {string} the back door password
*/
export function backDoorPassword(word) {
throw new Error('Remove this line and implement the function');
}
|
d2fb735b7b3edabd438c594288a2d059
|
{
"intermediate": 0.3390570282936096,
"beginner": 0.35358569025993347,
"expert": 0.3073572814464569
}
|
41,740
|
* Respond with the correct character, given the line of the
* poem, if this were said at the front door.
*
* @param {string} line
* @returns {string}
*/
export function frontDoorResponse(line) {
return line[0];
}
/**
* Format the password for the front-door, given the response
* letters.
*
* @param {string} word the letters you responded with before
* @returns {string} the front door password
*/
export function frontDoorPassword(word) {
return word.charAt(0).toUpperCase() + word.slice(1).toLowerCase();
}
/**
* Respond with the correct character, given the line of the
* poem, if this were said at the back door.
*
* @param {string} line
* @returns {string}
*/
export function backDoorResponse(line) {
// Trim the line to remove whitespace from the beginning and end
return line.trim().slice(-1).toLowerCase();
}
/**
* Format the password for the back door, given the response
* letters.
*
* @param {string} word the letters you responded with before
* @returns {string} the back door password
*/
export function backDoorPassword(word) {
return word.charAt(0).toUpperCase() + word.slice(1).toLowerCase() + ‘, please’;
}
|
46f2066a8b7112850823aa464893abb6
|
{
"intermediate": 0.3063136339187622,
"beginner": 0.4189590811729431,
"expert": 0.2747272551059723
}
|
41,741
|
Can you help debug the code
#include <iostream>
#include <vector>
#include <algorithm>
#include <queue>
#include <ctime>
#include <omp.h>
const int SUBSEQ_COUNT = 1000;
const int SUBSEQ_SIZE = 1000000;
const int TOTAL_SIZE = SUBSEQ_COUNT * SUBSEQ_SIZE;
// Define a structure to hold value/index/subsequence information
struct Element {
int value;
int next_idx; // Index of the next element in the same subsequence
int subseq; // Index of the subsequence this element belongs to
// Custom comparator for the priority queue (min-heap)
bool operator>(const Element& other) const {
return value > other.value;
}
};
// Function that fills sequence to simulate the problem
void generateSubsequence(std::vector<int>& sequence, int subseq_id, int seed_value) {
std::vector<int>& subseq = sequence;
for (int i = 0; i < SUBSEQ_SIZE; ++i) {
// Filling with increasing numbers across subsequences with an allowed range within each
subseq[subseq_idSUBSEQ_SIZE + i] = seed_value + i;
}
// Shuffle the subsequence to simulate disorder within each subsequence
std::random_shuffle(subseq.begin() + subseq_idSUBSEQ_SIZE, subseq.begin() + (subseq_id+1)SUBSEQ_SIZE);
}
int main() {
// Initialize the sequence with unordered subsequences
std::vector<int> sequence(TOTAL_SIZE);
for(int i = 0; i < SUBSEQ_COUNT; ++i) {
generateSubsequence(sequence, i, i * SUBSEQ_SIZE);
}
int numThreadsArray[] = {1, 2, 4, 6, 8, 10, 12, 16};
// Iterate over the set of thread counts
for (int numThreads : numThreadsArray) {
std::vector<int> sorted_sequence(TOTAL_SIZE);
std::cout << “Sorting with " << numThreads << " thread(s)…” << std::endl;
double startTime = omp_get_wtime();
// Sort the subsequences using multiple threads
#pragma omp parallel for schedule(static, 1) num_threads(numThreads)
for(int i = 0; i < SUBSEQ_COUNT; ++i) {
std::sort(sequence.begin() + i * SUBSEQ_SIZE, sequence.begin() + (i + 1) * SUBSEQ_SIZE);
}
// Use a priority queue to perform a k-way merge
std::priority_queue<Element, std::vector<Element>, std::greater<Element>> pq;
// Initialize the priority queue with the first element of each subsequence
for(int i = 0; i < SUBSEQ_COUNT; ++i) {
if (!sequence.empty()) {
pq.push(Element{sequence[iSUBSEQ_SIZE], (i*SUBSEQ_SIZE) + 1, i});
}
}
// Perform the k-way merge
for(int i = 0; i < TOTAL_SIZE; ++i) {
Element e = pq.top();
pq.pop();
sorted_sequence[i] = e.value;
if (e.next_idx < (e.subseq+1)*SUBSEQ_SIZE) {
pq.push(Element{sequence[e.next_idx], e.next_idx + 1, e.subseq});
}
}
double endTime = omp_get_wtime();
std::cout << “Time taken: " << (endTime - startTime) << " seconds” << std::endl;
}
return 0;
}
|
05fb11367dfdd4f17ff01b362e896c05
|
{
"intermediate": 0.5571908354759216,
"beginner": 0.3006397783756256,
"expert": 0.14216943085193634
}
|
41,742
|
fully implement the script: from pymongo import MongoClient
from abc import ABC, abstractmethod
# Start of Strategy Implementation
class CampaignStrategy(ABC):
@abstractmethod
def analyze_campaign(self, campaign_data, interaction_data):
"""Analyze a campaign's effectiveness given the campaign and interaction data. """
pass
class SpecificCampaignStrategy(CampaignStrategy):
def analyze_campaign(self, campaign_data, interaction_data):
"""
Specify how to analyze a specific type of campaign here.
"""
# Perform specific analysis...
# End of Strategy Implementation
class MarketingEffectivenessModule:
def __init__(self, db_name):
self.client = MongoClient('localhost', 27017)
self.db = self.client[db_name]
def load_campaign_data(self, campaign_data):
"""
Load campaign data into the database
"""
pass
def log_chatbot_interaction(self, interaction_data):
"""
Log each interaction a user has with the chatbot into the database
"""
pass
def evaluate_campaign(self, campaign_id, strategy):
"""
Evaluate the impact of a specific campaign by employing a specific strategy.
"""
# Get campaign data from DB
campaign_data = {}
# Get interaction data from DB
interaction_data = {}
return strategy.analyze_campaign(campaign_data, interaction_data)
|
2558a4b4454bb6055bbe18fc769f2beb
|
{
"intermediate": 0.5370533466339111,
"beginner": 0.3689965009689331,
"expert": 0.09395016729831696
}
|
41,743
|
public override void SetCardData(BaseCard card)
{
base.SetCardData(card);
m_descriptionText.text = $"{card.Description}";
m_costText.text = $"{card.Cost}";
m_nameText.text = m_nameTextTrap.text = $"{card.Name}";
if (!string.IsNullOrEmpty(card.Avatar))
{
UpdateCardImage(card.Avatar);
}
UpdateCardFaceImage(card.Type,card.FaceRank);
} 帮忙优化一下代码
|
3b625c73e2a53d664756fa20fb1edc67
|
{
"intermediate": 0.36761003732681274,
"beginner": 0.3235829174518585,
"expert": 0.3088070750236511
}
|
41,744
|
private void RefreshStateText(object eventData = null)
{
if (cardObject.GetIsDeployed())
{
m_stateText.gameObject.SetActive(false);
}
else
{
GameTimeSpan deployTimer = cardObject.DeployTimer.TimeLeftTillNextTick;
m_stateText.text = $"{deployTimer.Value.Num + 1}";
}
m_costText.text = $"{cardObject.GetCost().Value.Value.Num}";
m_nameText.text = m_nameTextTrap.text = $"{cardObject.GetName()}";
m_descriptionText.text = $"{cardObject.GetDescription()}";
if (cardObject.GetAvatar() != null)
{
UpdateCardImage(cardObject.GetAvatar().name);
}
UpdateCardFaceImage(cardObject.GetCardType(),cardObject.GetFaceRankType());
m_btnActiveTrap.gameObject.SetActive(cardObject.GetIsDeployed() && IsInTrapField && IsLocalPlayer);
m_nameTextTrap.gameObject.SetActive(IsLocalPlayer &&
cardObject.GetCardPosition().CardPositionType !=
CardPositionTypes.CPChain);
} 帮忙优化这段代码
|
2ea9ba1ac9823ae0d74bf46168f01791
|
{
"intermediate": 0.3475553095340729,
"beginner": 0.3379453420639038,
"expert": 0.3144993185997009
}
|
41,745
|
class Solution:
def partition(self, s: str) -> List[List[str]]:
self.res = []
self.answer = []
self.backtrack(s, 0)
return self.res
def backtrack(self, s, start_index):
if start_index >= len(s):
self.res.append(self.answer[:])
return
for i in range(start_index, len(s)):
if self.is_palindrome(s, start_index, i):
self.answer.append(s[start_index: i+1])
self.backtrack(s, i+1)
self.answer.pop()
else:
continue
def is_palindrome(self, s, start, end):
left = start
right = end
while left < right:
if s[left] != s[right]:
return False
left += 1
right += 1
return True
以上代码有什么问题
|
4ca36e30143585be619612a6b5d9a853
|
{
"intermediate": 0.22556978464126587,
"beginner": 0.5726953148841858,
"expert": 0.20173487067222595
}
|
41,746
|
Can You Imagine 5 Examples of Ultra Minimal C-Language Programmes From 1987
|
60e449653f5f5374da2daafbfc10f192
|
{
"intermediate": 0.24689656496047974,
"beginner": 0.38156911730766296,
"expert": 0.3715342581272125
}
|
41,747
|
10 xss payloads
|
c73fb8b8c1872695b329a2eb0a3cd54a
|
{
"intermediate": 0.38265135884284973,
"beginner": 0.32487326860427856,
"expert": 0.2924753427505493
}
|
41,748
|
Write an oneliner command to automate xss bug bounty
|
bae0c6d59581345c398c03ee3a72eb59
|
{
"intermediate": 0.38706645369529724,
"beginner": 0.14579905569553375,
"expert": 0.4671345353126526
}
|
41,749
|
Time based blind sqli payload
|
eee5ce339e1e5084faf067e525b11aff
|
{
"intermediate": 0.3235136568546295,
"beginner": 0.38713645935058594,
"expert": 0.28934985399246216
}
|
41,750
|
what is github?
|
57a1c05b72833df5c2bc45fe77714195
|
{
"intermediate": 0.4481023848056793,
"beginner": 0.23354774713516235,
"expert": 0.3183499276638031
}
|
41,751
|
what is github? what is git remote? what is git push/ pull? explain like i am a layperson.
|
ee8d19589797c783e4540aea25ae7954
|
{
"intermediate": 0.6534041166305542,
"beginner": 0.1893390417098999,
"expert": 0.1572568416595459
}
|
41,752
|
script.Parent.Touched:Connect(function(Part)
if Part.Name == "Lesno" and script.Parent.Parent.sterownik.Dest.Code.Value ~= "4000" then
script.Parent.Parent.Speaker.Lesno:Play()
elseif Part.Name == "Zalesie" and script.Parent.Parent.sterownik.Dest.Code.Value ~= "4000" then
end
end)
09:44:56.291 sterownik is not a valid member of Model "Workspace.#001 SU12IV.Body.sterownik.Dest" - Server - Script:2
09:44:56.291 Script 'Workspace.#001 SU12IV.Body.sterownik.Dest.bussensor.Script', Line 2 - Studio - Script:2
repair this script
|
1af98b7b1179719a12b7ce8a84fe15a7
|
{
"intermediate": 0.3019177317619324,
"beginner": 0.36541593074798584,
"expert": 0.3326663374900818
}
|
41,753
|
Give me a set of examples of VLOOKUP formula usage in excel (practical examples)!
|
81b4043808b601a99d92f3f92b80fbfc
|
{
"intermediate": 0.29552751779556274,
"beginner": 0.29294249415397644,
"expert": 0.4115299582481384
}
|
41,754
|
Comfyroll Studio v1.76 : 175 Nodes Loaded
------------------------------------------
** For changes, please see patch notes at https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/blob/main/Patch_Notes.md
** For help, please see the wiki at https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki
------------------------------------------
[comfyui_controlnet_aux] | INFO -> Using ckpts path: E:\ComfyUI\custom_nodes\comfyui_controlnet_aux\ckpts
[comfyui_controlnet_aux] | INFO -> Using symlinks: False
[comfyui_controlnet_aux] | INFO -> Using ort providers: ['CUDAExecutionProvider', 'DirectMLExecutionProvider', 'OpenVINOExecutionProvider', 'ROCMExecutionProvider', 'CPUExecutionProvider', 'CoreMLExecutionProvider'] 这是什么提示
|
d67c4c412a43ddfdf061b8c4ab08ddc2
|
{
"intermediate": 0.33758869767189026,
"beginner": 0.28114327788352966,
"expert": 0.3812680244445801
}
|
41,755
|
Hey there can you help fix my code
|
ab52da293997a94e55c8af7897d3d11d
|
{
"intermediate": 0.3089887797832489,
"beginner": 0.4235190451145172,
"expert": 0.2674921751022339
}
|
41,756
|
How to set net.ipv4.tcp_frto ? What are values? RTO VS FRTO?
|
b4dbf545f492c3870028ec18d47665ce
|
{
"intermediate": 0.339160680770874,
"beginner": 0.2095802277326584,
"expert": 0.45125913619995117
}
|
41,757
|
AttributeError: partially initialized module 'csv' has no attribute 'writer' (most likely due to a circular import)
|
5c42ed426fa24bb765f18ff52fcb2fec
|
{
"intermediate": 0.44495150446891785,
"beginner": 0.23522622883319855,
"expert": 0.3198222517967224
}
|
41,758
|
10 xss payloads
|
a865fed545746cf638a9635db4a5e0df
|
{
"intermediate": 0.38265135884284973,
"beginner": 0.32487326860427856,
"expert": 0.2924753427505493
}
|
41,759
|
write in python a maze generator using kruskal algorithm, also print where is the Start point of the maze and the end. ENsure that there is a path between the start and the end, if not generate another maze until you have one that is correct
|
01d52baf637327e85e0a665c477c8094
|
{
"intermediate": 0.18399940431118011,
"beginner": 0.077907495200634,
"expert": 0.7380931377410889
}
|
41,760
|
how can i add a compare at price like TJ Maxx website on my wordpress website
|
8bee9b3d78c5e33bbed417358b8110e9
|
{
"intermediate": 0.4041859805583954,
"beginner": 0.3336200416088104,
"expert": 0.2621939778327942
}
|
41,761
|
import torch
import torch.nn as nn
import torch.nn.functional as F
class SelectiveSSM(nn.Module):
def init(self, input_dim, state_dim):
super(SelectiveSSM, self).init()
self.input_dim = input_dim
self.state_dim = state_dim
self.A = nn.Parameter(torch.randn(state_dim, state_dim))
self.B = nn.Parameter(torch.randn(state_dim, input_dim))
self.C = nn.Parameter(torch.randn(input_dim, state_dim))
# Selection mechanism parameters
self.select_A = nn.Linear(input_dim, state_dim)
self.select_B = nn.Linear(input_dim, state_dim)
self.select_C = nn.Linear(input_dim, state_dim)
def forward(self, x):
# x has shape (batch_size, seq_len, input_dim)
# Compute selective parameters
sel_A = self.select_A(x) # Example of parametrization based on input
sel_B = self.select_B(x)
sel_C = self.select_C(x)
# Recurrence calculation, we’ll show one timestep for simplicity
batch_size, seq_len, _ = x.size()
h = torch.zeros(batch_size, self.state_dim).to(x.device)
outputs = []
for t in range(seq_len):
h = torch.tanh(sel_A[:, t] @ h + sel_B[:, t] @ x[:, t])
y_t = sel_C[:, t] @ h
outputs.append(y_t)
y = torch.stack(outputs, dim=1)
return y
class MambaBlock(nn.Module):
def init(self, input_dim, ssm_state_dim):
super(MambaBlock, self).init()
self.ssm = SelectiveSSM(input_dim, ssm_state_dim)
self.fc = nn.Linear(input_dim, input_dim) # Output fully connected layer
def forward(self, x):
ssm_output = self.ssm(x)
x = x + ssm_output # Residual connection
x = F.silu(self.fc(x)) # Swish activation (SiLU)
return x
class MambaModel(nn.Module):
def init(self, input_dim, ssm_state_dim, num_blocks):
super(MambaModel, self).init()
self.blocks = nn.Sequential(
*[MambaBlock(input_dim, ssm_state_dim) for _ in range(num_blocks)])
def forward(self, x):
return self.blocks(x)
# Usage example
input_dim = 512 # Example input feature dimension
ssm_state_dim = 64 # State dimension for the SSM
num_blocks = 4 # Number of Mamba blocks in the model
mamba = MambaModel(input_dim, ssm_state_dim, num_blocks)
input_seq = torch.randn(
1, 100,
input_dim) # Example input sequence with batch size 1 and seq_len 100
output_seq = mamba(input_seq)
print(output_seq.shape) # Output tensor with the same seq_len as the input
|
f568490438a75134d14319043919fa56
|
{
"intermediate": 0.30194002389907837,
"beginner": 0.45358753204345703,
"expert": 0.24447248876094818
}
|
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