row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
44,477
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
import Test.QuickCheck
toSingletonLists :: [e] -> [[e]]
toSingletonLists _ = error "TODO"
testToSingletonLists = do
print "******* toSingletonLists"
quickCheck $ counterexample "ints" $
toSingletonLists [ 5, 7, 2 ] == [ [5], [7], [2] ]
quickCheck $ counterexample "chars" $
toSingletonLists [ 'a', 'x', 'd' ] == [ "a", "x", "d" ]
quickCheck $ counterexample "empty" $
toSingletonLists [] == ([] :: [[Int]])
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap _ _ _ = error "TODO"
testListMap = do
print "******* listMap"
quickCheck $ counterexample "add" $ listMap (+) 5 [1, 2, 3] == [6, 7, 8]
quickCheck $ counterexample "sub" $ listMap (-) 5 [1, 2, 3] == [4, 3, 2]
quickCheck $ counterexample "mul" $ listMap (*) 5 [1, 2, 3] == [5, 10, 15]
quickCheck $ counterexample "empty" $ listMap (-) 5 [] == []
member :: Eq e => e -> [e] -> Bool
member _ _ = error "TODO"
testMember = do
print "******* member"
quickCheck $ counterexample "ints first" $ member 5 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints last" $ member 2 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints mid" $ member 7 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints fail" $ member 4 [ 5, 7, 2 ] == False
quickCheck $ counterexample "empty" $ member 4 [] == False
selectNApart :: Int -> [e] -> [e]
selectNApart _ _ = error "TODO"
testSelectNApart = do
print "******* selectNApart"
quickCheck $ counterexample "2-apart" $
selectNApart 2 [0..10] == [0, 2, 4, 6, 8, 10]
quickCheck $ counterexample "2-apart chars" $
selectNApart 2 ['a'..'z'] == "acegikmoqsuwy"
quickCheck $ counterexample "3-apart" $
selectNApart 3 [0..20] == [0, 3, 6, 9, 12, 15, 18]
quickCheck $ counterexample "5-apart" $
selectNApart 5 [0..21] == [0, 5, 10, 15, 20]
quickCheck $ counterexample "empty" $ selectNApart 5 ([]::[Int]) == []
------------------------ Functions in Separate Files --------------------
-- #5: 15-points
-- implement the specified function in EvalIntExpr.hs
-- #6: 15-points
-- implement the specified function in EvalIdExpr.hs
-- #7: 20-points
-- implement the specified function in EvalMaybeExpr.hs
-- #8: 20-points
-- implement the specified function in PostfixExpr.hs
allTests = [
(Skip testToSingletonLists),
(Skip testListMap),
(Skip testMember),
(Skip testSelectNApart),
(Skip testEvalIntExpr),
(Skip testEvalIdExpr),
(Skip testEvalMaybeExpr),
(Skip testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
|
f1cd40a8f3c76bd777ef116f047243b6
|
{
"intermediate": 0.34335896372795105,
"beginner": 0.45357275009155273,
"expert": 0.20306828618049622
}
|
44,478
|
create a pine script that i can use to add bollinger bands and smart money concepts indicators on a tradingview graph
|
c706116b22b57a78d952f8c4819538d6
|
{
"intermediate": 0.5566302537918091,
"beginner": 0.11384529620409012,
"expert": 0.3295244574546814
}
|
44,479
|
"We'll never get free
Lamb to the slaughter
What you gon' do when there's blood in the water?
The price of your greed is your son and your daughter
What you gon' do when there's blood in the water?
Look me in my eyes
Tell me everything's not fine
Oh, the people ain't happy
And the river has run dry
You thought you could go free
But the system is done for
If you listen real closely
There's a knock at your front door"
could you give me three possible translations in french that sounds natural for native french speakers and also a comparisson between french english and spanish please
|
2786e1bec6b9cb3df883079955d396ae
|
{
"intermediate": 0.41716498136520386,
"beginner": 0.32263922691345215,
"expert": 0.260195791721344
}
|
44,480
|
Warning: A non-numeric value encountered in
|
10f15b8b045e4373c7746c3f629949aa
|
{
"intermediate": 0.3576551079750061,
"beginner": 0.3013920783996582,
"expert": 0.3409528136253357
}
|
44,481
|
I am making a c++ sdl based game engine, currently doing the EventManager, I already make the classes and the event polling and notification using a pub/sub pattern. But in my first implementation I added a priority field to my base event, which I haven't even used yet, because I am unsure if this is really needed or not.
In a typical game loop, you would process all events in the queue before updating the game state and rendering.
If you process all events during each iteration, why would you need to prioritize some events?
What do you think about this? I am wrong on this?
|
c3a57387aa4f236c2b4dfdd482bbf142
|
{
"intermediate": 0.4876042902469635,
"beginner": 0.3085804283618927,
"expert": 0.2038152813911438
}
|
44,482
|
Currently, the code provided below works, but when I press the button, it only works once until I refresh the page. Can you make it so I can click it multiple times? Here's the code: <!DOCTYPE html>
<html>
<head>
</head>
<style>
button {
border-radius: 10px;
width: 450px;
height: 450px;
margin: 5px;
color: white;
background-color: green;
font-family: American Typewriter;
font-size: 22.5px;
}
button:hover {
background-color: #269126; /* change to your desired color */
color: white; /* change to your desired color */
}
</style>
<body>
<button onclick="myFunction()">CLICK FOR FULLSCREEN</button>
<script>
var urlObj = new window.URL(window.location.href);
var url = "https://yuntian-deng-chatgpt.hf.space";
if (url) {
var win;
document.querySelector('button').onclick = function() {
if (win) {
win.focus();
}
else {
win = window.open();
win.document.body.style.margin = '0'; //Set margin new blank window
win.document.body.style.height = '100vh'; //Set height new blank window
var iframe = win.document.createElement('iframe'); //Creates a frame for the game
iframe.style.border = 'none';
iframe.style.width = '100%';
iframe.style.height = '100%';
iframe.style.margin = '0';
iframe.src = url;
win.document.body.appendChild(iframe); //add a frame to the window
}
};
}
</script>
</body>
</html>
|
462e85399d17471db80a16223d288e9d
|
{
"intermediate": 0.28007540106773376,
"beginner": 0.4192996621131897,
"expert": 0.30062487721443176
}
|
44,483
|
Какой командой можно вывести в линуксе подобное:
Dev разбит так:
SDA 5.5 Тб
SDA1 953 мб /root
SDA2 465 гб /
SDA3 4 ТБ /media/obraz
А так же:
SDB1 500 гб /media/user1
SDB2 8ТБ /media/public
SDB3 4ТБ /media/backup
SDB4 465 гб
SDB5 1.5 ТБ /media/vmail
SDB6 500 гб /media/klaster
|
7268c8b465fb9600c064b7d436631986
|
{
"intermediate": 0.3939087986946106,
"beginner": 0.326638400554657,
"expert": 0.27945277094841003
}
|
44,484
|
Here's the revised version of Main.hs program combining the implementations of the functions in the specified order:
|
a106270cdd42030edb3a218badf73ecd
|
{
"intermediate": 0.27517369389533997,
"beginner": 0.294416218996048,
"expert": 0.43041011691093445
}
|
44,485
|
HI!
|
d091e40e1134f0933610f4bea20ffa9c
|
{
"intermediate": 0.3374777138233185,
"beginner": 0.2601830065250397,
"expert": 0.40233927965164185
}
|
44,486
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = goFalse xs
where
goFalse ys = foldl (\acc y -> acc || (y == e)) False ys
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Rewritten tests after implementing functions
tests = [
("Test toSingletonLists", testToSingletonLists),
("Test listMap", testListMap),
("Test member", testMember),
("Test selectNApart", testSelectNApart),
("Test EvalIntExpr", testEvalIntExpr),
("Test EvalIdExpr", testEvalIdExpr),
("Test EvalMaybeExpr", testEvalMaybeExpr),
("Test PostfixExpr", testPostfixExpr)
]
-- Set all tests to Run
allTests = [
(Run testToSingletonLists),
(Run testListMap),
(Run testMember),
(Run testSelectNApart),
(Run testEvalIntExpr),
(Run testEvalIdExpr),
(Run testEvalMaybeExpr),
(Run testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests I will provide you with some functions and you need to implement them in this program
|
ec48fbcb1d49452e16495744116e8259
|
{
"intermediate": 0.4063151180744171,
"beginner": 0.28856632113456726,
"expert": 0.3051185607910156
}
|
44,487
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
import Test.QuickCheck
toSingletonLists :: [e] -> [[e]]
toSingletonLists _ = error "TODO"
testToSingletonLists = do
print "******* toSingletonLists"
quickCheck $ counterexample "ints" $
toSingletonLists [ 5, 7, 2 ] == [ [5], [7], [2] ]
quickCheck $ counterexample "chars" $
toSingletonLists [ 'a', 'x', 'd' ] == [ "a", "x", "d" ]
quickCheck $ counterexample "empty" $
toSingletonLists [] == ([] :: [[Int]])
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap _ _ _ = error "TODO"
testListMap = do
print "******* listMap"
quickCheck $ counterexample "add" $ listMap (+) 5 [1, 2, 3] == [6, 7, 8]
quickCheck $ counterexample "sub" $ listMap (-) 5 [1, 2, 3] == [4, 3, 2]
quickCheck $ counterexample "mul" $ listMap (*) 5 [1, 2, 3] == [5, 10, 15]
quickCheck $ counterexample "empty" $ listMap (-) 5 [] == []
member :: Eq e => e -> [e] -> Bool
member _ _ = error "TODO"
testMember = do
print "******* member"
quickCheck $ counterexample "ints first" $ member 5 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints last" $ member 2 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints mid" $ member 7 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints fail" $ member 4 [ 5, 7, 2 ] == False
quickCheck $ counterexample "empty" $ member 4 [] == False
selectNApart :: Int -> [e] -> [e]
selectNApart _ _ = error "TODO"
testSelectNApart = do
print "******* selectNApart"
quickCheck $ counterexample "2-apart" $
selectNApart 2 [0..10] == [0, 2, 4, 6, 8, 10]
quickCheck $ counterexample "2-apart chars" $
selectNApart 2 ['a'..'z'] == "acegikmoqsuwy"
quickCheck $ counterexample "3-apart" $
selectNApart 3 [0..20] == [0, 3, 6, 9, 12, 15, 18]
quickCheck $ counterexample "5-apart" $
selectNApart 5 [0..21] == [0, 5, 10, 15, 20]
quickCheck $ counterexample "empty" $ selectNApart 5 ([]::[Int]) == []
------------------------ Functions in Separate Files --------------------
-- #5: 15-points
-- implement the specified function in EvalIntExpr.hs
-- #6: 15-points
-- implement the specified function in EvalIdExpr.hs
-- #7: 20-points
-- implement the specified function in EvalMaybeExpr.hs
-- #8: 20-points
-- implement the specified function in PostfixExpr.hs
allTests = [
(Skip testToSingletonLists),
(Skip testListMap),
(Skip testMember),
(Skip testSelectNApart),
(Skip testEvalIntExpr),
(Skip testEvalIdExpr),
(Skip testEvalMaybeExpr),
(Skip testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
|
1202aa61964160ce1cac28f73056e849
|
{
"intermediate": 0.34335896372795105,
"beginner": 0.45357275009155273,
"expert": 0.20306828618049622
}
|
44,488
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = goFalse xs
where
goFalse ys = foldl (\acc y -> acc || (y == e)) False ys
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Rewritten tests after implementing functions
tests = [
("Test toSingletonLists", testToSingletonLists),
("Test listMap", testListMap),
("Test member", testMember),
("Test selectNApart", testSelectNApart),
("Test EvalIntExpr", testEvalIntExpr),
("Test EvalIdExpr", testEvalIdExpr),
("Test EvalMaybeExpr", testEvalMaybeExpr),
("Test PostfixExpr", testPostfixExpr)
]
-- Set all tests to Run
allTests = [
(Run testToSingletonLists),
(Run testListMap),
(Run testMember),
(Run testSelectNApart),
(Run testEvalIntExpr),
(Run testEvalIdExpr),
(Run testEvalMaybeExpr),
(Run testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
|
6e814e9cc2d9ddee1e3fa5747cfab6b4
|
{
"intermediate": 0.43138039112091064,
"beginner": 0.25126898288726807,
"expert": 0.3173505663871765
}
|
44,489
|
Create a descirption for my fiverr profile. I will be selling youtube miniature and stuff like this.
|
1097e908fe5f7155caa563f00b7f6a61
|
{
"intermediate": 0.37738171219825745,
"beginner": 0.2630915343761444,
"expert": 0.3595268428325653
}
|
44,490
|
module EvalIntExpr ( evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
|
ab49564eb2207efcb7992b7869f8d800
|
{
"intermediate": 0.33406829833984375,
"beginner": 0.41865450143814087,
"expert": 0.24727723002433777
}
|
44,491
|
module EvalIntExpr ( evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
``
|
a67bc7f99c53559addfea7af455ad052
|
{
"intermediate": 0.33406829833984375,
"beginner": 0.41865450143814087,
"expert": 0.24727723002433777
}
|
44,492
|
Sure! Here's the code you provided, unchanged:
Module `EvalIntExpr`:
=====================
|
3f9e573147e879fd58236de983832ee9
|
{
"intermediate": 0.2700856029987335,
"beginner": 0.273529976606369,
"expert": 0.4563843905925751
}
|
44,493
|
To complete the implementation of this Haskell module, we need to provide an implementation for the `evalIntExpr` function. Currently, it just raises a `TODO` exception using the built-in `error` function. We want to replace this implementation with one that actually computes the value of an `IntExpr` tree.
Here's an example implementation of `evalIntExpr` that performs the computation recursively:
|
08d08178e313bec934d2508633c3f591
|
{
"intermediate": 0.5022755861282349,
"beginner": 0.21888615190982819,
"expert": 0.27883821725845337
}
|
44,494
|
hi!
|
47f8d528f88d0f902facfe6fe20b3a10
|
{
"intermediate": 0.32477712631225586,
"beginner": 0.26637697219848633,
"expert": 0.4088459014892578
}
|
44,495
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
– Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists = map (:[])
– Implement listMap using list comprehension (kept as is, meets requirement)
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
– Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e = foldl (\acc y -> acc || y == e) False
– Implement selectNApart. Adjusted to select elements at intervals of n.
selectNApart :: Int -> [e] -> [e]
selectNApart _ [] = []
selectNApart n xs
| n > 0 = take 1 xs ++ selectNApart n (drop n xs)
| otherwise = []
– All tests set to Run. Simplified representation for demonstrative purposes.
allTests = [
Run testToSingletonLists,
Run testListMap,
Run testMember,
Run testSelectNApart,
Run testEvalIntExpr,
Run testEvalIdExpr,
Run testEvalMaybeExpr,
Run testPostfixExpr
]
main = do
runTests allTests – Assuming runTests is a defined function that executes each test
– Placeholder for running tests. You need to define runTests, or adjust to your existing testing framework.
runTests :: [Test] -> IO ()
runTests tests = mapM_ ((Run test) -> test) tests – Placeholder function
data Test = Run (IO ()) – Simplified representation of a test. Adjust based on actual test implementation. To implement `evalIntExpr`, you need to evaluate the expression tree according to the order of operations (also known as BODMAS or PEMDAS). This means that multiplication and division should be performed before addition and subtraction. Here's a possible implementation:
|
4701d81c758f091ea1626720968f3b80
|
{
"intermediate": 0.4287015497684479,
"beginner": 0.314260333776474,
"expert": 0.2570381164550781
}
|
44,496
|
Here's the revised version of Main.hs program combining the implementations of the functions in the specified order:
|
da213ccd4e157ef49e894a517be79481
|
{
"intermediate": 0.27517369389533997,
"beginner": 0.294416218996048,
"expert": 0.43041011691093445
}
|
44,497
|
module EvalIntExpr ( evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
|
7c1b9ee44829992326349c78496ef2a8
|
{
"intermediate": 0.33406829833984375,
"beginner": 0.41865450143814087,
"expert": 0.24727723002433777
}
|
44,498
|
X:1
T:永恒的发光 (The Eternal Glow)
M:4/4
L:1/4
Q:1/4=61
K:C
|:C E2 G2 | G D2 B2 | Am7 A2 E2 | Em7 B2 G2:|
|:C E2 G2 | G D2 B2 | Am7 A2 E2 | Em7 B2 E2 | F C2 A2:|
|:F C2 A2 | G B2 D2 | Em7 B2 G2 | Am C2 E2:|
|:C E2 G2 | G D2 B2 | F C2 A2 | G B2 D2:|
|:Cm G2 E2 | Bm7 F2 D2 | Am7 E2 C2 | Dm D2 F2:|
|:G B2 D2 | Am C2 E2 | F C2 A2 | C G2 C2:|
Chords: | G | Am | F | C | CHANGE TO ABC NATION
|
bc0e612c6786d1d3252265ca2c6648a0
|
{
"intermediate": 0.35741159319877625,
"beginner": 0.3640410900115967,
"expert": 0.27854734659194946
}
|
44,499
|
import time
import random
from instagrapi import Client
def login_instagram(username, password):
cl = Client()
cl.login(username, password)
return cl
def select_strategy(strategy):
if strategy == 'comment_liking':
return 'comment_liking'
elif strategy == 'follow_liking':
return 'follow_liking'
else:
raise ValueError("Invalid strategy selected")
def perform_actions(client, strategy, num_followers, num_operations_per_day):
if strategy == 'comment_liking':
comments = ["Great post! 👍", "I love this! ❤️", "This is awesome! 🌟", "Nice shot! 📸", "I'm a fan! 😍"]
for _ in range(num_followers):
for _ in range(num_operations_per_day):
post = client.media_recent()
client.media_like(post.pk)
time.sleep(random.randint(60, 120))
client.comment(post.pk, random.choice(comments))
time.sleep(random.randint(60, 120))
print(f"Action: Commented on post {post.pk}")
elif strategy == 'follow_liking':
for _ in range(num_followers):
for _ in range(num_operations_per_day):
user = client.user_random()
client.user_follow(user.pk)
time.sleep(random.randint(60, 120))
client.media_like(user.last_media.pk)
time.sleep(random.randint(60, 120))
print(f"Action: Followed user {user.pk}")
def monitor_activity(client):
# Implement monitoring logic here
# You can use the client object to fetch the user's activity
# and perform necessary actions to avoid getting banned
pass
# Usage example
username = 'aria_nda41'
password = 'poiuy12345'
strategy = 'comment_liking' # or 'follow_liking'
num_followers = 100
num_operations_per_day = 50
client = login_instagram(username, password)
strategy = select_strategy(strategy)
perform_actions(client, strategy, num_followers, num_operations_per_day)
monitor_activity(client). قمم بالتعديل على هذا البوت حسب طريقة عمله وهذه المستندات التى يعمل بها رسميا https://subzeroid.github.io/instagrapi/
|
e45ce8273acc21e5a2b8f3c49059de0d
|
{
"intermediate": 0.28312528133392334,
"beginner": 0.4685926139354706,
"expert": 0.2482820749282837
}
|
44,500
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = goFalse xs
where
goFalse ys = foldl (\acc y -> acc || (y == e)) False ys
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Implement evalIntExpr using visitor pattern
evalIntExpr :: IntExpr -> Int
evalIntExpr (Leaf i) = i
evalIntExpr (Add e1 e2) = evalIntExpr e1 + evalIntExpr e2
evalIntExpr (Sub e1 e2) = evalIntExpr e1 - evalIntExpr e2
evalIntExpr (Mul e1 e2) = evalIntExpr e1 * evalIntExpr e2
evalIntExpr (Uminus e) = negate (evalIntExpr e)
-- Implement evalIdExpr using visitor pattern
evalIdExpr :: IdExpr -> Assoc Int -> Int
evalIdExpr (Leaf i) _ = i
evalIdExpr (Id idStr) env = maybe 0 idVal envLookup
where
idVal = fromIntegral
envLookup = findWithDefault 0 idStr env
findWithDefault :: a -> k -> [(k, a)] -> a
findWithDefault dflt key = fromJust . lookup key
-- Implement evalMaybeExpr using visitor pattern
evalMaybeExpr :: MaybeExpr -> Assoc Int -> Maybe Int
evalMaybeExpr (Leaf i) _ = Just i
evalMaybeExpr (Id idStr) env = findWithDefault Nothing idStr env
evalMaybeExpr (Add m1 m2) env = liftA2 addMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Sub m1 m2) env = liftA2 subtractMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Mul m1 m2) env = liftA2 multiplyMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Uminus m) env = fmap negate (evalMaybeExpr m env)
addMaybes :: Maybe Int -> Maybe Int -> Maybe Int
addMaybes Nothing (Just i) = Just i
addMaybes (Just i) Nothing = Just i
addMaybes (Just i) (Just j) = Just (i+j)
subtractMaybes :: Maybe Int -> Maybe Int -> Maybe Int
subtractMaybes Nothing (Just i) = Just (-i)
subtractMaybes (Just i) Nothing = Just i
subtractMaybes (Just i) (Just j) = Just (i-j)
multiplyMaybes :: Maybe Int -> Maybe Int -> Maybe Int
multiplyMaybes Nothing _ = Nothing
multiplyMaybes _ Nothing = Nothing
multiplyMaybes (Just i) (Just j) = Just (i*j)
-- Implement postfixExpr parser
parseToken :: String -> Either ParseError Token
parseToken str = case parseString str of
Left errMsg -> Left (ParseError ("Invalid character in token: " ++ errMsg))
Right tkn -> Right tkn
data Token = Num Int | Op Operator
deriving (Show)
data Operator = Plus | Minus | Multiply | UnaryMinus
deriving (Show)
data ParseError = ParseError String
deriving (Show)
parseString :: String -> Either ParseError Token
parseString ('+' : rest) = Right (Op Plus)
parseString ('-' : rest) = Right (Op Minus)
parseString ('*' : rest) = Right (Op Multiply)
parseString (('-':rest') & notFollowedBy ('-')) = Right (Op UnaryMinus)
parseString (numChars : rest) =
case reads numChars of
[(value, ""), (_:_) -> Left ("Non-numeric characters present in number.")
] of
[(value, "")] -> Right (Num value)
_ -> Left ("Unable to parse.")}
postfixExpr :: String -> PostfixExpr
postfixExpr = head . foldl processTokens [] . map parseToken . words
processTokens :: [PostfixExpr] -> Token -> [PostfixExpr]
processTokens st (Num n) = n : st
processTokens st (Op op) = handleOperator op st
handleOperator :: Operator -> [PostfixExpr] -> [PostfixExpr]
handleOperator Plus ((Num l):(Num r):rs) = (Num (r + l)):rs
handleOperator Minus ((Num l):(Num r):rs) = (Num (r - l)):rs
handleOperator Multiply ((Num l):(Num r):rs) = (Num (r * l)):rs
handleOperator UnaryMinus (Num n:rs) = Negate n : rs
handleOperator _ _ = error "Unexpected error during parsing!"
-- Unit tests
print "******* test postfixExpr"
quickCheck $ \str -> normaliseSpaces (show (postfixExpr str)) === show (readEither str >>= either throwIO pure)
-- Property-based tests
prop\_postfixExprCommutative :: String -> String -> IO ()
prop\_postfixExprCommutative str1 str2 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
assertEqual "" (pe1 + pe2) (pe2 + pe1)
prop\_postfixExprAssociativePlus :: String -> String -> String -> IO ()
prop\_postfixExprAssociativePlus str1 str2 str3 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
pe3 = readEither str3 >>= either throwIO pure
assertEqual "" ((pe1 + pe2) + pe3) (pe1 + (pe2 + pe3))
prop\_postfixExprAssociativeMult :: String -> String -> String -> IO ()
prop\_postfixExprAssociativeMult str1 str2 str3 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
pe3 = readEither str3 >>= either throwIO pure
assertEqual "" ((pe1 * pe2) * pe3) (pe1 * (pe2 * pe3))
-- Helper functions
normaliseSpaces :: String -> String
normaliseSpaces = unlines . map (unwords . filter (not . null)) . lines . concatMap removeSpace . lines
removeSpace :: String -> [String]
removeSpace [] = [""]
removeSpace s@(_:cs) = case break (== ' ') s of
(prefix, [' ']:suffix) -> prefix : removeSpace suffix
(prefix, []) -> [prefix]
([], _) -> error "Unreachable code reached."
(_, []) -> error "Unreachable code reached."
(pfx, suff) -> pfx : removeSpace suff
-- Utilities for Reader Monad
newType Env = Env {env :: [(String, Int)]} deriving (Eq, Ord, Show)
instance Arbitrary Env where
arbitrary = Env <$> (sort <$> listOf (pairArb :: Gen (String, Int)))
pairArb :: Gen (String, Int)
pairArb = (,) <$> suchThat arbitrarily (not . null) <*> arbitrary
applyEnv :: (Int -> a) -> Env -> a
applyEnv func (Env env) = func (fromMaybe 0 $ lookup (funcName func) env)
class HasName a where
funcName :: a -> String
instance HasName (Int -> Int) where
funcName _ = "<anonymous>"
instance HasName (String -> Int) where
funcName f = f "name"
instance HasName IntExpr where
funcName (Leaf i) = show i
funcName (Add e1 e2) = "(" ++ funcName e1 ++ " + " ++ funcName e2 ++ ")"
funcName (Sub e1 e2) = "(" ++ funcName e1 ++ " - " ++ funcName e2 ++ ")"
funcName (Mul e1 e2) = "(" ++ funcName e1 ++ " × " ++ funcName e2 ++ ")"
funcName (Uminus e) = "-(" ++ funcName e ++ ")"
main = do
let intExprTree = Add (Leaf 2) (Mul (Leaf 3) (Leaf 4))
idExprTree = Add (Id "x") (Leaf 42)
maybeExprTree = Add (Leaf 42) (Id "maybeX")
postfixExprString = "2 3 4 * +"
putStrLn $ "Expression Tree:\n" ++ show intExprTree
putStrLn "\nEnvironment Mappings:"
sampleEnv <- sample arbitrary
print sampleEnv
putStrLn "\nevalIntExpr Result:\n" ++ show (evalIntExpr intExprTree)
putStrLn "\nevalIdExpr Result:\n" ++ show (evalIdExpr idExprTree sampleEnv)
putStrLn "\nevalMaybeExpr Result:\n" ++ show (evalMaybeExpr maybeExprTree (env sampleEnv))
putStrLn "\n******* test postfixExpr\n"
quickCheck prop_postfixExprCommutative
quickCheck prop_postfixExprAssociativePlus
quickCheck prop_postfixExprAssociativeMult
quickCheck prop_evalIdExpr
quickCheck prop_evalMaybeExpr
|
0f2373780108c9a15e07f13f168d842a
|
{
"intermediate": 0.36132705211639404,
"beginner": 0.38869524002075195,
"expert": 0.24997775256633759
}
|
44,501
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = goFalse xs
where
goFalse ys = foldl (\acc y -> acc || (y == e)) False ys
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Implement evalIntExpr using visitor pattern
evalIntExpr :: IntExpr -> Int
evalIntExpr (Leaf i) = i
evalIntExpr (Add e1 e2) = evalIntExpr e1 + evalIntExpr e2
evalIntExpr (Sub e1 e2) = evalIntExpr e1 - evalIntExpr e2
evalIntExpr (Mul e1 e2) = evalIntExpr e1 * evalIntExpr e2
evalIntExpr (Uminus e) = negate (evalIntExpr e)
-- Implement evalIdExpr using visitor pattern
evalIdExpr :: IdExpr -> Assoc Int -> Int
evalIdExpr (Leaf i) _ = i
evalIdExpr (Id idStr) env = maybe 0 idVal envLookup
where
idVal = fromIntegral
envLookup = findWithDefault 0 idStr env
findWithDefault :: a -> k -> [(k, a)] -> a
findWithDefault dflt key = fromJust . lookup key
-- Implement evalMaybeExpr using visitor pattern
evalMaybeExpr :: MaybeExpr -> Assoc Int -> Maybe Int
evalMaybeExpr (Leaf i) _ = Just i
evalMaybeExpr (Id idStr) env = findWithDefault Nothing idStr env
evalMaybeExpr (Add m1 m2) env = liftA2 addMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Sub m1 m2) env = liftA2 subtractMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Mul m1 m2) env = liftA2 multiplyMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Uminus m) env = fmap negate (evalMaybeExpr m env)
addMaybes :: Maybe Int -> Maybe Int -> Maybe Int
addMaybes Nothing (Just i) = Just i
addMaybes (Just i) Nothing = Just i
addMaybes (Just i) (Just j) = Just (i+j)
subtractMaybes :: Maybe Int -> Maybe Int -> Maybe Int
subtractMaybes Nothing (Just i) = Just (-i)
subtractMaybes (Just i) Nothing = Just i
subtractMaybes (Just i) (Just j) = Just (i-j)
multiplyMaybes :: Maybe Int -> Maybe Int -> Maybe Int
multiplyMaybes Nothing _ = Nothing
multiplyMaybes _ Nothing = Nothing
multiplyMaybes (Just i) (Just j) = Just (i*j)
-- Implement postfixExpr parser
parseToken :: String -> Either ParseError Token
parseToken str = case parseString str of
Left errMsg -> Left (ParseError ("Invalid character in token: " ++ errMsg))
Right tkn -> Right tkn
data Token = Num Int | Op Operator
deriving (Show)
data Operator = Plus | Minus | Multiply | UnaryMinus
deriving (Show)
data ParseError = ParseError String
deriving (Show)
parseString :: String -> Either ParseError Token
parseString ('+' : rest) = Right (Op Plus)
parseString ('-' : rest) = Right (Op Minus)
parseString ('*' : rest) = Right (Op Multiply)
parseString (('-':rest') & notFollowedBy ('-')) = Right (Op UnaryMinus)
parseString (numChars : rest) =
case reads numChars of
[(value, ""), (_:_) -> Left ("Non-numeric characters present in number.")
] of
[(value, "")] -> Right (Num value)
_ -> Left ("Unable to parse.")}
postfixExpr :: String -> PostfixExpr
postfixExpr = head . foldl processTokens [] . map parseToken . words
processTokens :: [PostfixExpr] -> Token -> [PostfixExpr]
processTokens st (Num n) = n : st
processTokens st (Op op) = handleOperator op st
handleOperator :: Operator -> [PostfixExpr] -> [PostfixExpr]
handleOperator Plus ((Num l):(Num r):rs) = (Num (r + l)):rs
handleOperator Minus ((Num l):(Num r):rs) = (Num (r - l)):rs
handleOperator Multiply ((Num l):(Num r):rs) = (Num (r * l)):rs
handleOperator UnaryMinus (Num n:rs) = Negate n : rs
handleOperator _ _ = error "Unexpected error during parsing!"
-- Unit tests
print "******* test postfixExpr"
quickCheck $ \str -> normaliseSpaces (show (postfixExpr str)) === show (readEither str >>= either throwIO pure)
-- Property-based tests
prop\_postfixExprCommutative :: String -> String -> IO ()
prop\_postfixExprCommutative str1 str2 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
assertEqual "" (pe1 + pe2) (pe2 + pe1)
prop\_postfixExprAssociativePlus :: String -> String -> String -> IO ()
prop\_postfixExprAssociativePlus str1 str2 str3 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
pe3 = readEither str3 >>= either throwIO pure
assertEqual "" ((pe1 + pe2) + pe3) (pe1 + (pe2 + pe3))
prop\_postfixExprAssociativeMult :: String -> String -> String -> IO ()
prop\_postfixExprAssociativeMult str1 str2 str3 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
pe3 = readEither str3 >>= either throwIO pure
assertEqual "" ((pe1 * pe2) * pe3) (pe1 * (pe2 * pe3))
-- Helper functions
normaliseSpaces :: String -> String
normaliseSpaces = unlines . map (unwords . filter (not . null)) . lines . concatMap removeSpace . lines
removeSpace :: String -> [String]
removeSpace [] = [""]
removeSpace s@(_:cs) = case break (== ' ') s of
(prefix, [' ']:suffix) -> prefix : removeSpace suffix
(prefix, []) -> [prefix]
([], _) -> error "Unreachable code reached."
(_, []) -> error "Unreachable code reached."
(pfx, suff) -> pfx : removeSpace suff
-- Utilities for Reader Monad
newType Env = Env {env :: [(String, Int)]} deriving (Eq, Ord, Show)
instance Arbitrary Env where
arbitrary = Env <$> (sort <$> listOf (pairArb :: Gen (String, Int)))
pairArb :: Gen (String, Int)
pairArb = (,) <$> suchThat arbitrarily (not . null) <*> arbitrary
applyEnv :: (Int -> a) -> Env -> a
applyEnv func (Env env) = func (fromMaybe 0 $ lookup (funcName func) env)
class HasName a where
funcName :: a -> String
instance HasName (Int -> Int) where
funcName _ = "<anonymous>"
instance HasName (String -> Int) where
funcName f = f "name"
instance HasName IntExpr where
funcName (Leaf i) = show i
funcName (Add e1 e2) = "(" ++ funcName e1 ++ " + " ++ funcName e2 ++ ")"
funcName (Sub e1 e2) = "(" ++ funcName e1 ++ " - " ++ funcName e2 ++ ")"
funcName (Mul e1 e2) = "(" ++ funcName e1 ++ " × " ++ funcName e2 ++ ")"
funcName (Uminus e) = "-(" ++ funcName e ++ ")"
main = do
let intExprTree = Add (Leaf 2) (Mul (Leaf 3) (Leaf 4))
idExprTree = Add (Id "x") (Leaf 42)
maybeExprTree = Add (Leaf 42) (Id "maybeX")
postfixExprString = "2 3 4 * +"
putStrLn $ "Expression Tree:\n" ++ show intExprTree
putStrLn "\nEnvironment Mappings:"
sampleEnv <- sample arbitrary
print sampleEnv
putStrLn "\nevalIntExpr Result:\n" ++ show (evalIntExpr intExprTree)
putStrLn "\nevalIdExpr Result:\n" ++ show (evalIdExpr idExprTree sampleEnv)
putStrLn "\nevalMaybeExpr Result:\n" ++ show (evalMaybeExpr maybeExprTree (env sampleEnv))
putStrLn "\n******* test postfixExpr\n"
quickCheck prop_postfixExprCommutative
quickCheck prop_postfixExprAssociativePlus
quickCheck prop_postfixExprAssociativeMult
quickCheck prop_evalIdExpr
quickCheck prop_evalMaybeExpr
|
02511e83d696dc84b4dd4883923b5e28
|
{
"intermediate": 0.36132705211639404,
"beginner": 0.38869524002075195,
"expert": 0.24997775256633759
}
|
44,502
|
https://pypi.org/project/distinctid/. كيف استفيد من هذا في بايثون
|
880432d620703ab4a9c563014ab92c4c
|
{
"intermediate": 0.3129372298717499,
"beginner": 0.3371346592903137,
"expert": 0.3499281108379364
}
|
44,503
|
I am currently making a c++ priority_queue of events in my SDL based game engine, and I got it to work using an struct, but I don't want to use an struct since it is an overkill, can it be done instead with a function or annonymous function?
private:
struct EventComparator
{
bool operator()(const std::shared_ptr<Event>& a, const std::shared_ptr<Event>& b) const
{
return a->GetPriority() < b->GetPriority();
}
};
std::priority_queue<std::shared_ptr<Event>, std::vector<std::shared_ptr<Event>>, EventComparator> eventQueue;
|
3177bba76f57b92fe0e2a69aa24fe800
|
{
"intermediate": 0.5767975449562073,
"beginner": 0.3433651030063629,
"expert": 0.07983732968568802
}
|
44,504
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = goFalse xs
where
goFalse ys = foldl (\acc y -> acc || (y == e)) False ys
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Implement evalIntExpr using visitor pattern
evalIntExpr :: IntExpr -> Int
evalIntExpr (Leaf i) = i
evalIntExpr (Add e1 e2) = evalIntExpr e1 + evalIntExpr e2
evalIntExpr (Sub e1 e2) = evalIntExpr e1 - evalIntExpr e2
evalIntExpr (Mul e1 e2) = evalIntExpr e1 * evalIntExpr e2
evalIntExpr (Uminus e) = negate (evalIntExpr e)
-- Implement evalIdExpr using visitor pattern
evalIdExpr :: IdExpr -> Assoc Int -> Int
evalIdExpr (Leaf i) _ = i
evalIdExpr (Id idStr) env = maybe 0 idVal envLookup
where
idVal = fromIntegral
envLookup = findWithDefault 0 idStr env
findWithDefault :: a -> k -> [(k, a)] -> a
findWithDefault dflt key = fromJust . lookup key
-- Implement evalMaybeExpr using visitor pattern
evalMaybeExpr :: MaybeExpr -> Assoc Int -> Maybe Int
evalMaybeExpr (Leaf i) _ = Just i
evalMaybeExpr (Id idStr) env = findWithDefault Nothing idStr env
evalMaybeExpr (Add m1 m2) env = liftA2 addMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Sub m1 m2) env = liftA2 subtractMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Mul m1 m2) env = liftA2 multiplyMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Uminus m) env = fmap negate (evalMaybeExpr m env)
addMaybes :: Maybe Int -> Maybe Int -> Maybe Int
addMaybes Nothing (Just i) = Just i
addMaybes (Just i) Nothing = Just i
addMaybes (Just i) (Just j) = Just (i+j)
subtractMaybes :: Maybe Int -> Maybe Int -> Maybe Int
subtractMaybes Nothing (Just i) = Just (-i)
subtractMaybes (Just i) Nothing = Just i
subtractMaybes (Just i) (Just j) = Just (i-j)
multiplyMaybes :: Maybe Int -> Maybe Int -> Maybe Int
multiplyMaybes Nothing _ = Nothing
multiplyMaybes _ Nothing = Nothing
multiplyMaybes (Just i) (Just j) = Just (i*j)
-- Implement postfixExpr parser
parseToken :: String -> Either ParseError Token
parseToken str = case parseString str of
Left errMsg -> Left (ParseError ("Invalid character in token: " ++ errMsg))
Right tkn -> Right tkn
data Token = Num Int | Op Operator
deriving (Show)
data Operator = Plus | Minus | Multiply | UnaryMinus
deriving (Show)
data ParseError = ParseError String
deriving (Show)
parseString :: String -> Either ParseError Token
parseString ('+' : rest) = Right (Op Plus)
parseString ('-' : rest) = Right (Op Minus)
parseString ('*' : rest) = Right (Op Multiply)
parseString (('-':rest') & notFollowedBy ('-')) = Right (Op UnaryMinus)
parseString (numChars : rest) =
case reads numChars of
[(value, ""), (_:_) -> Left ("Non-numeric characters present in number.")
] of
[(value, "")] -> Right (Num value)
_ -> Left ("Unable to parse.")}
postfixExpr :: String -> PostfixExpr
postfixExpr = head . foldl processTokens [] . map parseToken . words
processTokens :: [PostfixExpr] -> Token -> [PostfixExpr]
processTokens st (Num n) = n : st
processTokens st (Op op) = handleOperator op st
handleOperator :: Operator -> [PostfixExpr] -> [PostfixExpr]
handleOperator Plus ((Num l):(Num r):rs) = (Num (r + l)):rs
handleOperator Minus ((Num l):(Num r):rs) = (Num (r - l)):rs
handleOperator Multiply ((Num l):(Num r):rs) = (Num (r * l)):rs
handleOperator UnaryMinus (Num n:rs) = Negate n : rs
handleOperator _ _ = error "Unexpected error during parsing!"
-- Unit tests
print "******* test postfixExpr"
quickCheck $ \str -> normaliseSpaces (show (postfixExpr str)) === show (readEither str >>= either throwIO pure)
-- Property-based tests
prop\_postfixExprCommutative :: String -> String -> IO ()
prop\_postfixExprCommutative str1 str2 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
assertEqual "" (pe1 + pe2) (pe2 + pe1)
prop\_postfixExprAssociativePlus :: String -> String -> String -> IO ()
prop\_postfixExprAssociativePlus str1 str2 str3 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
pe3 = readEither str3 >>= either throwIO pure
assertEqual "" ((pe1 + pe2) + pe3) (pe1 + (pe2 + pe3))
prop\_postfixExprAssociativeMult :: String -> String -> String -> IO ()
prop\_postfixExprAssociativeMult str1 str2 str3 = do
let pe1 = readEither str1 >>= either throwIO pure
pe2 = readEither str2 >>= either throwIO pure
pe3 = readEither str3 >>= either throwIO pure
assertEqual "" ((pe1 * pe2) * pe3) (pe1 * (pe2 * pe3))
-- Helper functions
normaliseSpaces :: String -> String
normaliseSpaces = unlines . map (unwords . filter (not . null)) . lines . concatMap removeSpace . lines
removeSpace :: String -> [String]
removeSpace [] = [""]
removeSpace s@(_:cs) = case break (== ' ') s of
(prefix, [' ']:suffix) -> prefix : removeSpace suffix
(prefix, []) -> [prefix]
([], _) -> error "Unreachable code reached."
(_, []) -> error "Unreachable code reached."
(pfx, suff) -> pfx : removeSpace suff
-- Utilities for Reader Monad
newType Env = Env {env :: [(String, Int)]} deriving (Eq, Ord, Show)
instance Arbitrary Env where
arbitrary = Env <$> (sort <$> listOf (pairArb :: Gen (String, Int)))
pairArb :: Gen (String, Int)
pairArb = (,) <$> suchThat arbitrarily (not . null) <*> arbitrary
applyEnv :: (Int -> a) -> Env -> a
applyEnv func (Env env) = func (fromMaybe 0 $ lookup (funcName func) env)
class HasName a where
funcName :: a -> String
instance HasName (Int -> Int) where
funcName _ = "<anonymous>"
instance HasName (String -> Int) where
funcName f = f "name"
instance HasName IntExpr where
funcName (Leaf i) = show i
funcName (Add e1 e2) = "(" ++ funcName e1 ++ " + " ++ funcName e2 ++ ")"
funcName (Sub e1 e2) = "(" ++ funcName e1 ++ " - " ++ funcName e2 ++ ")"
funcName (Mul e1 e2) = "(" ++ funcName e1 ++ " × " ++ funcName e2 ++ ")"
funcName (Uminus e) = "-(" ++ funcName e ++ ")"
main = do
let intExprTree = Add (Leaf 2) (Mul (Leaf 3) (Leaf 4))
idExprTree = Add (Id "x") (Leaf 42)
maybeExprTree = Add (Leaf 42) (Id "maybeX")
postfixExprString = "2 3 4 * +"
putStrLn $ "Expression Tree:\n" ++ show intExprTree
putStrLn "\nEnvironment Mappings:"
sampleEnv <- sample arbitrary
print sampleEnv
putStrLn "\nevalIntExpr Result:\n" ++ show (evalIntExpr intExprTree)
putStrLn "\nevalIdExpr Result:\n" ++ show (evalIdExpr idExprTree sampleEnv)
putStrLn "\nevalMaybeExpr Result:\n" ++ show (evalMaybeExpr maybeExprTree (env sampleEnv))
putStrLn "\n******* test postfixExpr\n"
quickCheck prop_postfixExprCommutative
quickCheck prop_postfixExprAssociativePlus
quickCheck prop_postfixExprAssociativeMult
quickCheck prop_evalIdExpr
quickCheck prop_evalMaybeExpr
|
8b25a01f233732568990c6a22de8a630
|
{
"intermediate": 0.36132705211639404,
"beginner": 0.38869524002075195,
"expert": 0.24997775256633759
}
|
44,505
|
module EvalIntExpr ( evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
|
84e584a978a182755b38dce2de48c6e0
|
{
"intermediate": 0.33406829833984375,
"beginner": 0.41865450143814087,
"expert": 0.24727723002433777
}
|
44,506
|
-- File: Main.hs
module Main (main) where
import Test.HUnit
import Test.QuickCheck
import Control.Monad
import Data.Maybe
import Data.List
import Text.ParserCombinators.Parsec
------------------------ Functions --------------------
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = foldl (\acc y -> acc || (y == e)) False xs
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Implement postfixExpr parser
parseToken :: String -> Either ParseError Token
parseToken str = case parseString str of
Left errMsg -> Left (ParseError ("Invalid character in token: " ++ errMsg))
Right tkn -> Right tkn
data Token = Num Int | Op Operator
deriving (Show)
data Operator = Plus | Minus | Multiply | UnaryMinus
deriving (Show)
data ParseError = ParseError String
deriving (Show)
parseString :: String -> Either ParseError Token
parseString ('+' : rest) = Right (Op Plus)
parseString ('-' : rest) = Right (Op Minus)
parseString ('*' : rest) = Right (Op Multiply)
parseString (('-':rest') & notFollowedBy ('-')) = Right (Op UnaryMinus)
parseString (numChars : rest) =
case reads numChars of
[(value, "")] -> Right (Num value)
[(value, _)] -> Left ("Non-numeric characters present in number.")
_ -> Left ("Unable to parse.")
-- a PostFixExpr is an expression tree over integers
data PostfixExpr =
Leaf Int |
Add PostfixExpr PostfixExpr |
Sub PostfixExpr PostfixExpr |
Mul PostfixExpr PostfixExpr |
Uminus PostfixExpr
deriving (Eq, Show)
-- Given a string postfix containing a postfix expression involving
-- integers, the usual binary arithmetic operators "+", "-", "*" as
-- well as "uminus", return the corresponding PostfixExpr.
postfixExpr :: String -> PostfixExpr
postfixExpr postfix = eval [] (words postfix)
where
eval :: [PostfixExpr] -> [String] -> PostfixExpr
eval [result] [] = result
eval stack (token:tokens) = case token of
"+" -> evalStack (Add) stack tokens
"-" -> evalStack (Sub) stack tokens
"*" -> evalStack (Mul) stack tokens
"uminus" -> evalStack (Uminus) stack tokens
_ -> eval (Leaf (read token) : stack) tokens
evalStack :: (PostfixExpr -> PostfixExpr -> PostfixExpr) -> [PostfixExpr] -> [String] -> PostfixExpr
evalStack op (e2:e1:stack) tokens = eval (op e1 e2 : stack) tokens
evalStack _ _ _ = error "Invalid postfix expression"
-- Implement the evalIntExpr function
evalIntExpr :: IntExpr -> Int
evalIntExpr (Leaf n) = n
evalIntExpr (Add expr1 expr2) = evalIntExpr expr1 + evalIntExpr expr2
evalIntExpr (Sub expr1 expr2) = evalIntExpr expr1 - evalIntExpr expr2
evalIntExpr (Mul expr1 expr2) = evalIntExpr expr1 * evalIntExpr expr2
evalIntExpr (Uminus expr) = - (evalIntExpr expr)
-- Implement the evalIdExpr function
evalIdExpr :: IdExpr -> Assoc Int -> Int
evalIdExpr (Leaf i) _ = i
evalIdExpr (Id idStr) env = maybe 0 idVal envLookup
where
idVal = fromIntegral
envLookup = findWithDefault 0 idStr env
findWithDefault :: a -> k -> [(k, a)] -> a
findWithDefault dflt key = fromJust . lookup key
-- Implement the evalMaybeExpr function
evalMaybeExpr :: MaybeExpr -> Assoc Int -> Maybe Int
evalMaybeExpr (Leaf i) _ = Just i
evalMaybeExpr (Id idStr) env = findWithDefault Nothing idStr env
evalMaybeExpr (Add m1 m2) env = liftA2 addMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Sub m1 m2) env = liftA2 subtractMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Mul m1 m2) env = liftA2 multiplyMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Uminus m) env = fmap negate (evalMaybeExpr m env)
addMaybes :: Maybe Int -> Maybe Int -> Maybe Int
addMaybes Nothing (Just i) = Just i
addMaybes (Just i) Nothing = Just i
addMaybes (Just i) (Just j) = Just (i+j)
subtractMaybes :: Maybe Int -> Maybe Int -> Maybe Int
subtractMaybes Nothing (Just i) = Just (-i)
subtractMaybes (Just i) Nothing = Just i
subtractMaybes (Just i) (Just j) = Just (i-j)
multiplyMaybes :: Maybe Int -> Maybe Int -> Maybe Int
multiplyMaybes Nothing _ = Nothing
multiplyMaybes _ Nothing = Nothing
multiplyMaybes (Just i) (Just j) = Just (i*j)
-- Implement the test cases for eval functions
testEvalIntExpr :: Test
testEvalIntExpr = TestList [
-- Add your test cases here
]
testEvalIdExpr :: Test
testEvalIdExpr = TestList [
-- Add your test cases here
]
testEvalMaybeExpr :: Test
testEvalMaybeExpr = TestList [
-- Add your test cases here
]
-- Implement the test cases for postfixExpr
testPostfixExpr :: Test
testPostfixExpr = TestList [
-- Add your test cases here
]
------------------------ Main --------------------
main :: IO ()
main = do
_ <- runTestTT $ TestList [testEvalIntExpr, testEvalIdExpr, testEvalMaybeExpr, testPostfixExpr]
return ()
allTests = [
(Run testToSingletonLists),
(Run testListMap),
(Run testMember),
(Run testSelectNApart),
(Run testEvalIntExpr),
(Run testEvalIdExpr),
(Run testEvalMaybeExpr),
(Run testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
|
19552593262fd5be8fa665867c5d6c0a
|
{
"intermediate": 0.4084148108959198,
"beginner": 0.4194456934928894,
"expert": 0.17213943600654602
}
|
44,507
|
module EvalIntExpr ( evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
|
8f62117b7287b36dfa08dd3baa97af1f
|
{
"intermediate": 0.33406829833984375,
"beginner": 0.41865450143814087,
"expert": 0.24727723002433777
}
|
44,508
|
Please to help to make the below warning into a more user friendly warning also in one sentence. "Export in XML only supports Module Tree which contains phase."
|
bb412042e65f528283441a41c0849360
|
{
"intermediate": 0.3676995635032654,
"beginner": 0.22485190629959106,
"expert": 0.40744855999946594
}
|
44,509
|
-- File: Main.hs
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
------------------------ Functions --------------------
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = foldl (\acc y -> acc || (y == e)) False xs
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Implement postfixExpr parser
parseToken :: String -> Either ParseError Token
parseToken str = case parseString str of
Left errMsg -> Left (ParseError ("Invalid character in token: " ++ errMsg))
Right tkn -> Right tkn
data Token = Num Int | Op Operator
deriving (Show)
data Operator = Plus | Minus | Multiply | UnaryMinus
deriving (Show)
data ParseError = ParseError String
deriving (Show)
parseString :: String -> Either ParseError Token
parseString ('+' : rest) = Right (Op Plus)
parseString ('-' : rest) = Right (Op Minus)
parseString ('*' : rest) = Right (Op Multiply)
parseString (('-':rest') & notFollowedBy ('-')) = Right (Op UnaryMinus)
parseString (numChars : rest) =
case reads numChars of
[(value, "")] -> Right (Num value)
[(value, _)] -> Left ("Non-numeric characters present in number.")
_ -> Left ("Unable to parse.")
-- a PostFixExpr is an expression tree over integers
data PostfixExpr =
Leaf Int |
Add PostfixExpr PostfixExpr |
Sub PostfixExpr PostfixExpr |
Mul PostfixExpr PostfixExpr |
Uminus PostfixExpr
deriving (Eq, Show)
-- Given a string postfix containing a postfix expression involving
-- integers, the usual binary arithmetic operators "+", "-", "*" as
-- well as "uminus", return the corresponding PostfixExpr.
postfixExpr :: String -> PostfixExpr
postfixExpr postfix = eval [] (words postfix)
where
eval :: [PostfixExpr] -> [String] -> PostfixExpr
eval [result] [] = result
eval stack (token:tokens) = case token of
"+" -> evalStack (Add) stack tokens
"-" -> evalStack (Sub) stack tokens
"*" -> evalStack (Mul) stack tokens
"uminus" -> evalStack (Uminus) stack tokens
_ -> eval (Leaf (read token) : stack) tokens
evalStack :: (PostfixExpr -> PostfixExpr -> PostfixExpr) -> [PostfixExpr] -> [String] -> PostfixExpr
evalStack op (e2:e1:stack) tokens = eval (op e1 e2 : stack) tokens
evalStack _ _ _ = error "Invalid postfix expression"
-- Implement the evalIntExpr function
evalIntExpr :: IntExpr -> Int
evalIntExpr (Leaf n) = n
evalIntExpr (Add expr1 expr2) = evalIntExpr expr1 + evalIntExpr expr2
evalIntExpr (Sub expr1 expr2) = evalIntExpr expr1 - evalIntExpr expr2
evalIntExpr (Mul expr1 expr2) = evalIntExpr expr1 * evalIntExpr expr2
evalIntExpr (Uminus expr) = - (evalIntExpr expr)
-- Implement the evalIdExpr function
evalIdExpr :: IdExpr -> Assoc Int -> Int
evalIdExpr (Leaf i) _ = i
evalIdExpr (Id idStr) env = maybe 0 idVal envLookup
where
idVal = fromIntegral
envLookup = findWithDefault 0 idStr env
findWithDefault :: a -> k -> [(k, a)] -> a
findWithDefault dflt key = fromJust . lookup key
-- Implement the evalMaybeExpr function
evalMaybeExpr :: MaybeExpr -> Assoc Int -> Maybe Int
evalMaybeExpr (Leaf i) _ = Just i
evalMaybeExpr (Id idStr) env = findWithDefault Nothing idStr env
evalMaybeExpr (Add m1 m2) env = liftA2 addMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Sub m1 m2) env = liftA2 subtractMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Mul m1 m2) env = liftA2 multiplyMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Uminus m) env = fmap negate (evalMaybeExpr m env)
addMaybes :: Maybe Int -> Maybe Int -> Maybe Int
addMaybes Nothing (Just i) = Just i
addMaybes (Just i) Nothing = Just i
addMaybes (Just i) (Just j) = Just (i+j)
subtractMaybes :: Maybe Int -> Maybe Int -> Maybe Int
subtractMaybes Nothing (Just i) = Just (-i)
subtractMaybes (Just i) Nothing = Just i
subtractMaybes (Just i) (Just j) = Just (i-j)
multiplyMaybes :: Maybe Int -> Maybe Int -> Maybe Int
multiplyMaybes Nothing _ = Nothing
multiplyMaybes _ Nothing = Nothing
multiplyMaybes (Just i) (Just j) = Just (i*j)
-- Implement the test cases for eval functions
testEvalIntExpr :: Test
testEvalIntExpr = TestList [
-- Add your test cases here
]
testEvalIdExpr :: Test
testEvalIdExpr = TestList [
-- Add your test cases here
]
testEvalMaybeExpr :: Test
testEvalMaybeExpr = TestList [
-- Add your test cases here
]
-- Implement the test cases for postfixExpr
testPostfixExpr :: Test
testPostfixExpr = TestList [
-- Add your test cases here
]
------------------------ Main --------------------
main :: IO ()
main = do
_ <- runTestTT $ TestList [testEvalIntExpr, testEvalIdExpr, testEvalMaybeExpr, testPostfixExpr]
return ()
|
a96a0f9c22113fed8c980745cbf2f61d
|
{
"intermediate": 0.3781757056713104,
"beginner": 0.42638498544692993,
"expert": 0.19543927907943726
}
|
44,510
|
In servicenow, I am getting some weird value in GlideDateTime query.
When I am viewing the list view, the duration filed is showing correct value. But while we are pulling the data of that specific field in the reports, we can see a weird result.
Script:
After Insert, update Business rule
(function executeRule(current, previous /*null when async*/ ) {
var inc = new GlideRecord('sysapproval_approver');
inc.addQuery('sys_id', current.sys_id);
inc.query();
if (inc.next()) {
var start = new GlideDateTime(inc.sys_created_on);
var end = new GlideDateTime(inc.u_approved_on);
var dur = GlideDateTime.subtract(start, end); //the difference between gdt1 and gdt2
gs.info(dur.getDisplayValue());
inc.u_duration = dur;
inc.update();
}
}
)(current, previous);
While seeing in the list view, I can see correct value. But when I am trying to pull the data in the report, I am seeing some weired result.
Screenshot is attached.
Duration type field: Duration
Report type: Multipivot
Someone please help to identify the issue.
|
427ca53bd4e71eda7682030e1e416d05
|
{
"intermediate": 0.6294459104537964,
"beginner": 0.2019737958908081,
"expert": 0.1685803085565567
}
|
44,511
|
module EvalIntExpr ( evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
|
f5ceb7189a0ce25333ad6c11bf7b3aab
|
{
"intermediate": 0.33406829833984375,
"beginner": 0.41865450143814087,
"expert": 0.24727723002433777
}
|
44,512
|
-- File: Main.hs
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
------------------------ Functions --------------------
-- Implement toSingletonLists using map
toSingletonLists :: [e] -> [[e]]
toSingletonLists xs = map (:[]) xs
-- Implement listMap using list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap f a xs = [f a x | x <- xs]
-- Implement member using foldl
member :: Eq e => e -> [e] -> Bool
member e xs = foldl (\acc y -> acc || (y == e)) False xs
-- Implement selectNApart using drop
selectNApart :: Int -> [e] -> [e]
selectNApart n [] = []
selectNApart n xs = head part ++ selectNApart n rest
where
(part, rest) = splitAt (min n (length xs)) xs
-- Implement postfixExpr parser
parseToken :: String -> Either ParseError Token
parseToken str = case parseString str of
Left errMsg -> Left (ParseError ("Invalid character in token: " ++ errMsg))
Right tkn -> Right tkn
data Token = Num Int | Op Operator
deriving (Show)
data Operator = Plus | Minus | Multiply | UnaryMinus
deriving (Show)
data ParseError = ParseError String
deriving (Show)
parseString :: String -> Either ParseError Token
parseString ('+' : rest) = Right (Op Plus)
parseString ('-' : rest) = Right (Op Minus)
parseString ('*' : rest) = Right (Op Multiply)
parseString (('-':rest') & notFollowedBy ('-')) = Right (Op UnaryMinus)
parseString (numChars : rest) =
case reads numChars of
[(value, "")] -> Right (Num value)
[(value, _)] -> Left ("Non-numeric characters present in number.")
_ -> Left ("Unable to parse.")
-- a PostFixExpr is an expression tree over integers
data PostfixExpr =
Leaf Int |
Add PostfixExpr PostfixExpr |
Sub PostfixExpr PostfixExpr |
Mul PostfixExpr PostfixExpr |
Uminus PostfixExpr
deriving (Eq, Show)
-- Given a string postfix containing a postfix expression involving
-- integers, the usual binary arithmetic operators "+", "-", "*" as
-- well as "uminus", return the corresponding PostfixExpr.
postfixExpr :: String -> PostfixExpr
postfixExpr postfix = eval [] (words postfix)
where
eval :: [PostfixExpr] -> [String] -> PostfixExpr
eval [result] [] = result
eval stack (token:tokens) = case token of
"+" -> evalStack (Add) stack tokens
"-" -> evalStack (Sub) stack tokens
"*" -> evalStack (Mul) stack tokens
"uminus" -> evalStack (Uminus) stack tokens
_ -> eval (Leaf (read token) : stack) tokens
evalStack :: (PostfixExpr -> PostfixExpr -> PostfixExpr) -> [PostfixExpr] -> [String] -> PostfixExpr
evalStack op (e2:e1:stack) tokens = eval (op e1 e2 : stack) tokens
evalStack _ _ _ = error "Invalid postfix expression"
-- Implement the evalIntExpr function
evalIntExpr :: IntExpr -> Int
evalIntExpr (Leaf n) = n
evalIntExpr (Add expr1 expr2) = evalIntExpr expr1 + evalIntExpr expr2
evalIntExpr (Sub expr1 expr2) = evalIntExpr expr1 - evalIntExpr expr2
evalIntExpr (Mul expr1 expr2) = evalIntExpr expr1 * evalIntExpr expr2
evalIntExpr (Uminus expr) = - (evalIntExpr expr)
-- Implement the evalIdExpr function
evalIdExpr :: IdExpr -> Assoc Int -> Int
evalIdExpr (Leaf i) _ = i
evalIdExpr (Id idStr) env = maybe 0 idVal envLookup
where
idVal = fromIntegral
envLookup = findWithDefault 0 idStr env
findWithDefault :: a -> k -> [(k, a)] -> a
findWithDefault dflt key = fromJust . lookup key
-- Implement the evalMaybeExpr function
evalMaybeExpr :: MaybeExpr -> Assoc Int -> Maybe Int
evalMaybeExpr (Leaf i) _ = Just i
evalMaybeExpr (Id idStr) env = findWithDefault Nothing idStr env
evalMaybeExpr (Add m1 m2) env = liftA2 addMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Sub m1 m2) env = liftA2 subtractMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Mul m1 m2) env = liftA2 multiplyMaybes (evalMaybeExpr m1 env) (evalMaybeExpr m2 env)
evalMaybeExpr (Uminus m) env = fmap negate (evalMaybeExpr m env)
addMaybes :: Maybe Int -> Maybe Int -> Maybe Int
addMaybes Nothing (Just i) = Just i
addMaybes (Just i) Nothing = Just i
addMaybes (Just i) (Just j) = Just (i+j)
subtractMaybes :: Maybe Int -> Maybe Int -> Maybe Int
subtractMaybes Nothing (Just i) = Just (-i)
subtractMaybes (Just i) Nothing = Just i
subtractMaybes (Just i) (Just j) = Just (i-j)
multiplyMaybes :: Maybe Int -> Maybe Int -> Maybe Int
multiplyMaybes Nothing _ = Nothing
multiplyMaybes _ Nothing = Nothing
multiplyMaybes (Just i) (Just j) = Just (i*j)
-- Implement the test cases for eval functions
testEvalIntExpr :: Test
testEvalIntExpr = TestList [
-- Add your test cases here
]
testEvalIdExpr :: Test
testEvalIdExpr = TestList [
-- Add your test cases here
]
testEvalMaybeExpr :: Test
testEvalMaybeExpr = TestList [
-- Add your test cases here
]
-- Implement the test cases for postfixExpr
testPostfixExpr :: Test
testPostfixExpr = TestList [
-- Add your test cases here
]
------------------------ Main --------------------
main :: IO ()
main = do
_ <- runTestTT $ TestList [testEvalIntExpr, testEvalIdExpr, testEvalMaybeExpr, testPostfixExpr]
return ()
allTests = [
(Run testToSingletonLists),
(Run testListMap),
(Run testMember),
(Run testSelectNApart),
(Run testEvalIntExpr),
(Run testEvalIdExpr),
(Run testEvalMaybeExpr),
(Run testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
|
cb6de02f94afbf5cf50be6b5612a06f1
|
{
"intermediate": 0.3781757056713104,
"beginner": 0.42638498544692993,
"expert": 0.19543927907943726
}
|
44,513
|
module EvalIntExpr ( evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
|
1b5992eebe6c058dae20dd2ef8cc7d27
|
{
"intermediate": 0.33406829833984375,
"beginner": 0.41865450143814087,
"expert": 0.24727723002433777
}
|
44,514
|
module EvalIntExpr (evalIntExpr, testEvalIntExpr, IntExpr(..) ) where
import Test.QuickCheck
-- an IntExpr is an expression-tree over integers
data IntExpr =
Leaf Int |
Add IntExpr IntExpr |
Sub IntExpr IntExpr |
Mul IntExpr IntExpr |
Uminus IntExpr
deriving (Eq, Show)
-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"
testEvalIntExpr = do
print "******* test evalIntExpr"
quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
quickCheck $ counterexample "Add" $
evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
quickCheck $ counterexample "Sub" $
evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
quickCheck $ counterexample "Mul" $
evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
quickCheck $ counterexample "Uminus" $
evalIntExpr (Uminus (Leaf 33)) == (-33)
quickCheck $ counterexample "Complex" $
evalIntExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) == (-200)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
evalIntExpr (Add (Leaf e2) (Leaf e1)))
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf e2) (Leaf e1)))
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
evalIntExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIntExpr (Mul (
Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))))
|
f7b92690710b622bd9c63399c888cc06
|
{
"intermediate": 0.33142316341400146,
"beginner": 0.42089492082595825,
"expert": 0.24768196046352386
}
|
44,515
|
var alm = new GlideRecord("alm_hardware");
|
738d3b52786ffe589012b75a0ba77a5e
|
{
"intermediate": 0.27738356590270996,
"beginner": 0.2157161980867386,
"expert": 0.5069001913070679
}
|
44,516
|
var alm = new GlideRecord(“alm_hardware”);
alm.addEncodedQuery('install_status=1^substatus!=');
alm.query();
while(alm.next()){
alm.substatus = '';
|
c24879c08923dd7e70089509a9e95ee9
|
{
"intermediate": 0.43237176537513733,
"beginner": 0.26154863834381104,
"expert": 0.30607959628105164
}
|
44,517
|
django static url in html
|
1f141247c9e645f48ee0dde3405e39c3
|
{
"intermediate": 0.42004406452178955,
"beginner": 0.24775134027004242,
"expert": 0.33220458030700684
}
|
44,518
|
I am doing optimization process of my analog circuit design, where i need to optimally tune the input circuit design variables (13 variables) to attain the output target objective performance metrics (7 metrics). Here my circuit topology/circuit netlist, is fixed, I only need to tune the 13 input variables to reach the target objective metrics.
With the below custom 'circuitEnvironment' calss, I need you to provide very best approach to implement the following and utilize the given class 'circuitEnvironment' output variables/parameters which are all necessary for implementing RL-GNN optimistically,
1. Need to Define best suitable GNN model.
define a best suitable GNN model with all its assiciated functions. The suggested GNN model is need to be capable of taking, 'node_features_tensor', 'edge_embeddings(edge feature tensor)', 'adjacency_matrix_tensor' all three as inputs state and predict the circuit’s performance metrics. Because, I derived my three graph features (node features, edge features, and adjacency matrix) from undirected bipartite miltigraph with fixed topology, where i have parallel edges between two same nodes. So, the edge features along with the node features are necessary for the model to achieve the required objectives. I need you to provide all the necessary complete structures to be include with in the GNN model and the structure need to be properly interface with the RL algorithm to achieve my required objectives.
2. Set up Reinforcement Learning with Proximal Policy Optimization(PPO) as an agent:
For the RL part, need to be working with the environment and possibly the predictions from your GNN. 'node_features_tensor, edge_embeddings, adjacency_matrix_tensor, reward, done, previous_metrics = env.step(self, raw_actions, previous_metrics)'. I need you to suggest all necessary complete structures to be include with in the PPO agent in RL algorithm for my implementation.
3. Training Loop:
Finally, I need a training loop where the RL and PPO agent interacts with the environment (modifying the circuit’s parameters to meet performance targets) and possibly incorporates the GNN’s predictions. initialize the environment with 'node_features_tensor, edge_embeddings, adjacency_matrix_tensor, performance_metrics = env.reset()'. Provide me the complete structures to be include with in the training loop to achieve best performance.
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.distributions
from torch.utils.data import TensorDataset, DataLoader
from Simulator_Env import CircuitSimulator
from Netlist_Content import get_netlist_content
from NetToGraph import netlist_to_graph
class CircuitEnvironment:
def __init__(self, server_address, username, password, bounds_low, bounds_high, target_metrics, netlist_content):
self.server_address = server_address
self.username = username
self.password = password
self.bounds_low = bounds_low
self.bounds_high = bounds_high
self.target_metrics = target_metrics
self.previous_transistor_regions = None
self.simulator = None
self.netlist_content = netlist_content # Fetch netlist content upon environment initialization
# Initialize tensors as None
self.node_features_tensor = None
self.edge_embeddings = None
self.adjacency_matrix = None
def connect_to_simulator(self):
self.simulator = CircuitSimulator(self.server_address, self.username, self.password)
self.simulator.connect()
def disconnect_from_simulator(self):
if self.simulator:
self.simulator.close()
self.simulator = None
def reset(self):
# Connect to the simulator
self.connect_to_simulator()
# Initialize parameters within bounds
initial_parameters = np.random.uniform(self.bounds_low, self.bounds_high)
# Run simulation with initial parameters
transistor_regions, saturation_condition, performance_metrics = self.simulator.run_simulation(initial_parameters)
# Process netlist to generate model inputs
node_features, node_features_tensor, edge_features, edge_embeddings, adjacency_matrix, adjacency_matrix_tensor, degree_matrix = netlist_to_graph(self.netlist_content, initial_parameters)
return node_features_tensor, edge_embeddings, adjacency_matrix_tensor, performance_metrics
def step(self, raw_actions, previous_metrics):
# Ensure raw_actions is a 1D array
raw_actions = np.squeeze(raw_actions)
# Run simulation with new parameters
transistor_regions, saturation_condition, performance_metrics = self.simulator.run_simulation(raw_actions)
# Process netlist to generate model inputs
node_features, node_features_tensor, edge_features, edge_embeddings, adjacency_matrix, adjacency_matrix_tensor, degree_matrix = netlist_to_graph(self.netlist_content, raw_actions)
# Calculate reward based on performance metrics and transistor_regions
reward = self.calculate_reward(performance_metrics, previous_metrics, transistor_regions, self.previous_transistor_regions)
# Check if the episode is done
done = self.check_done(performance_metrics, encoded_saturation_condition)
return node_features_tensor, edge_embeddings, adjacency_matrix_tensor, reward, done, previous_metrics
def is_performance_metrics_in_target(self, metrics):
return np.all(metrics >= self.PERFORMANCE_METRICS_TARGET_LOW) and np.all(metrics <= self.PERFORMANCE_METRICS_TARGET_HIGH)
def calculate_reward(self, c_metrics, p_metrics, transistor_regions, previous_transistor_regions):
return reward
def check_done(self, performance_metrics, encoded_saturation_condition):
return True
# Define the values for bounds, and target metrics
bounds_low = np.array([0.18e-6, 0.18e-6, 0.18e-6, 0.18e-6, 0.18e-6, 0.5e-6, 0.5e-6, 0.5e-6, 0.5e-6, 0.5e-6, 15e-6, 0.1e-12, 0.8])
bounds_high = np.array([0.2e-6, 0.2e-6, 0.2e-6, 0.2e-6, 0.2e-6, 50e-6, 50e-6, 50e-6, 50e-6, 50e-6, 30e-6, 10e-12, 1.4])
netlist_content = get_netlist_content()
# Create the environment
env = CircuitEnvironment(server_address, username, password, bounds_low, bounds_high, target_metrics, netlist_content)
node_features_tensor, edge_embeddings, adjacency_matrix_tensor, performance_metrics = env.reset()
|
0c342cd984bc3a22e45f5c562ebf42db
|
{
"intermediate": 0.2623835802078247,
"beginner": 0.4022112786769867,
"expert": 0.3354051411151886
}
|
44,519
|
I want to add a button to the top right corner with a play and pause icon and 10px padding in the Wrapper brand-section that uses the following logic: $("video").oncanplay = function() {
$("video").prop('muted', true);
};
$(".mute-video").click(function () {
if ($("video").prop('muted')) {
$("video").prop('muted', false);
$(this).addClass('unmute-video'); // changing icon for button
} else {
$("video").prop('muted', true);
$(this).removeClass('unmute-video'); // changing icon for button
}
console.log($("video").prop('muted'))
}); to mute and unmute the video background in my react app component: import React from 'react'
import styled from "styled-components";
const Truested = () => {
return (
<Wrapper className="brand-section">
<video autoPlay loop muted playsInline className="brand-video-bg">
<source src="images/bg-video.mp4" type="video/mp4" />
</video>
</Wrapper>
)
}
const Wrapper = styled.section`
height: 65vh;
position: relative;
h3 {
text-align: center;
text-transform: capitalize;
color: white;
font-size: 2rem;
font-weight: bold;
}
.brand-video-bg {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
object-fit: cover; /* This will ensure the video covers the whole area without losing its aspect ratio */
z-index: -1; /* Makes sure the video stays in the background */
}
&::after {
content:"";
display: block;
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: rgba(0,0,0,0.6);
z-index: -1;
}
@media (max-width: ${({ theme }) => theme.media.mobile}) {
.brand-section-slider {
margin-top: 3.2rem;
display: grid;
grid-template-columns: 1fr 1fr;
/* background-color: red; */
text-align: center;
}
}
`;
export default Truested
|
d9d66e7190cce9c9507685834e2527db
|
{
"intermediate": 0.36286112666130066,
"beginner": 0.42382022738456726,
"expert": 0.2133185863494873
}
|
44,520
|
var alm = new GlideRecord("alm_hardware");
alm.addEncodedQuery('install_status=1^substatus!=');
alm.query();
while(alm.next()){
alm.substatus = '';
alm.update();
}
i wrote this fix script but when i go to form and check for substate it was showing only none choice. how to fix this and get all choices in substate asprevious
|
720d95798b334040f733760f884fe59d
|
{
"intermediate": 0.6083179712295532,
"beginner": 0.1884751319885254,
"expert": 0.2032068818807602
}
|
44,521
|
I am doing optimization process of my analog circuit design, where i need to optimally tune the input circuit design variables (13 variables) to attain the output target objective performance metrics (7 metrics). Here my circuit topology/circuit netlist, is fixed, I only need to tune the 13 input variables to reach the target objective metrics.
With the below custom 'circuitEnvironment' calss, I need you to provide very best approach to implement the following and utilize the given class 'circuitEnvironment' output variables/parameters which are all necessary for implementing RL-GNN optimistically,
1. Need to Define best suitable GNN model.
define a best suitable GNN model with all its assiciated functions. The suggested GNN model is need to be capable of taking, 'node_features_tensor', 'edge_embeddings(edge feature tensor)', 'adjacency_matrix_tensor' all three as inputs state and predict the circuit’s performance metrics. Because, I derived my three graph features (node features, edge features, and adjacency matrix) from undirected bipartite miltigraph with fixed topology, where i have parallel edges between two same nodes. So, the edge features along with the node features are necessary for the model to achieve the required objectives. I need you to provide all the necessary complete structures to be include with in the GNN model and the structure need to be properly interface with the RL algorithm to achieve my required objectives.
2. Set up Reinforcement Learning with Proximal Policy Optimization(PPO) as an agent:
For the RL part, need to be working with the environment and possibly the predictions from your GNN. 'node_features_tensor, edge_embeddings, adjacency_matrix_tensor, reward, done, previous_metrics = env.step(self, raw_actions, previous_metrics)'. I need you to suggest all necessary complete structures to be include with in the PPO agent in RL algorithm for my implementation.
3. Training Loop:
Finally, I need a training loop where the RL and PPO agent interacts with the environment (modifying the circuit’s parameters to meet performance targets) and possibly incorporates the GNN’s predictions. initialize the environment with 'node_features_tensor, edge_embeddings, adjacency_matrix_tensor, performance_metrics = env.reset()'. Provide me the complete structures to be include with in the training loop to achieve best performance.
Below code is My exixting implementation of class 'CircuitEnvironment' for RL PPO policy interaction to receive reward and state values 'node_features_tensor', 'edge_embeddings(edge feature tensor)', 'adjacency_matrix_tensor' from the environment.
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.distributions
from torch.utils.data import TensorDataset, DataLoader
from Simulator_Env import CircuitSimulator
from Netlist_Content import get_netlist_content
from NetToGraph import netlist_to_graph
class CircuitEnvironment:
def __init__(self, server_address, username, password, bounds_low, bounds_high, target_metrics, netlist_content):
self.server_address = server_address
self.username = username
self.password = password
self.bounds_low = bounds_low
self.bounds_high = bounds_high
self.target_metrics = target_metrics
self.previous_transistor_regions = None
self.simulator = None
self.netlist_content = netlist_content # Fetch netlist content upon environment initialization
# Initialize tensors as None
self.node_features_tensor = None
self.edge_embeddings = None
self.adjacency_matrix = None
def connect_to_simulator(self):
self.simulator = CircuitSimulator(self.server_address, self.username, self.password)
self.simulator.connect()
def disconnect_from_simulator(self):
if self.simulator:
self.simulator.close()
self.simulator = None
def reset(self):
# Connect to the simulator
self.connect_to_simulator()
# Initialize parameters within bounds
initial_parameters = np.random.uniform(self.bounds_low, self.bounds_high)
# Run simulation with initial parameters
transistor_regions, saturation_condition, performance_metrics = self.simulator.run_simulation(initial_parameters)
# Process netlist to generate model inputs
node_features, node_features_tensor, edge_features, edge_embeddings, adjacency_matrix, adjacency_matrix_tensor, degree_matrix = netlist_to_graph(self.netlist_content, initial_parameters)
return node_features_tensor, edge_embeddings, adjacency_matrix_tensor, performance_metrics
def step(self, raw_actions, previous_metrics):
# Ensure raw_actions is a 1D array
raw_actions = np.squeeze(raw_actions)
# Run simulation with new parameters
transistor_regions, saturation_condition, performance_metrics = self.simulator.run_simulation(raw_actions)
# Process netlist to generate model inputs
node_features, node_features_tensor, edge_features, edge_embeddings, adjacency_matrix, adjacency_matrix_tensor, degree_matrix = netlist_to_graph(self.netlist_content, raw_actions)
# Calculate reward based on performance metrics and transistor_regions
reward = self.calculate_reward(performance_metrics, previous_metrics, transistor_regions, self.previous_transistor_regions)
# Check if the episode is done
done = self.check_done(performance_metrics, encoded_saturation_condition)
return node_features_tensor, edge_embeddings, adjacency_matrix_tensor, reward, done, previous_metrics
def is_performance_metrics_in_target(self, metrics):
return np.all(metrics >= self.PERFORMANCE_METRICS_TARGET_LOW) and np.all(metrics <= self.PERFORMANCE_METRICS_TARGET_HIGH)
def calculate_reward(self, c_metrics, p_metrics, transistor_regions, previous_transistor_regions):
return reward
def check_done(self, performance_metrics, encoded_saturation_condition):
return True
# Define the values for bounds, and target metrics
bounds_low = np.array([0.18e-6, 0.18e-6, 0.18e-6, 0.18e-6, 0.18e-6, 0.5e-6, 0.5e-6, 0.5e-6, 0.5e-6, 0.5e-6, 15e-6, 0.1e-12, 0.8])
bounds_high = np.array([0.2e-6, 0.2e-6, 0.2e-6, 0.2e-6, 0.2e-6, 50e-6, 50e-6, 50e-6, 50e-6, 50e-6, 30e-6, 10e-12, 1.4])
netlist_content = get_netlist_content()
# Create the environment
env = CircuitEnvironment(server_address, username, password, bounds_low, bounds_high, target_metrics, netlist_content)
node_features_tensor, edge_embeddings, adjacency_matrix_tensor, performance_metrics = env.reset()
|
7746ae3d2de8dc5030aea08f06a1c872
|
{
"intermediate": 0.2076709121465683,
"beginner": 0.48738813400268555,
"expert": 0.30494093894958496
}
|
44,522
|
is there a way to encrypt data with user passkey on client side
|
837c41721dbaff75868ce0d4ad6b3b01
|
{
"intermediate": 0.4473857283592224,
"beginner": 0.1807042509317398,
"expert": 0.3719099760055542
}
|
44,523
|
When I render my component in react, for some reason the event that is appointed to onSelect prop always triggers on render of the component. Is there a way to prevent it?
|
4967a6b94d43562c7ca285b866a2870c
|
{
"intermediate": 0.5642120242118835,
"beginner": 0.22517350316047668,
"expert": 0.21061448752880096
}
|
44,524
|
I have phsical eth0 on linux and virtual eth vnet0, plus bridge virtual adapter virbr0 as of Qemu config by Virt-manager. So how do I configure iptables to work with Virt-manager and Qemu to properly route trafic from and to Qemu ?
|
92d4acf5b68f15b6151bde819c14902d
|
{
"intermediate": 0.5213862061500549,
"beginner": 0.2770341634750366,
"expert": 0.20157960057258606
}
|
44,525
|
what is Paid Pre-roll Collaboration Opportunity
|
f5dc90033e4a1355c116f166a1c94775
|
{
"intermediate": 0.33029571175575256,
"beginner": 0.3010864853858948,
"expert": 0.36861786246299744
}
|
44,526
|
could you expand on the below and what insights do they say:
From gunning_fog index, scores of gpt-fine tuned < scores of gpt-non fine tuned
From coleman liau index, scores of gpt-fine tuned < scores of gpt-non fine tuned
From flesh_kinciad index, scores of gpt-fine tuned < scores of gpt-non fine tuned
From automated_readbality index, scores of gpt-fine tuned < scores of gpt-non fine tuned
|
e79c44f12bdea7611a4ee0935e566f8b
|
{
"intermediate": 0.2868426740169525,
"beginner": 0.2502942681312561,
"expert": 0.4628629982471466
}
|
44,527
|
Привет! у меня есть следующий бот. Я хочу реализовать прием тикетов оператором несколько иначе. Замена callback_query на ссылку. Реализация следующая:
Оператор переходит по ссылке вида t.me/antihypesupportbot?start=ticket_{ticket_id}. После этого оператору бот отправляет сообщение "Вы уверены, что хотите взять тикет #{ticket_id}?" с кнопкой "Взять тикет", которая автоматически изменит сообщение в канале и оператор войдет в диалог с пользователем. Вот код бота:
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.types import ReplyKeyboardMarkup, KeyboardButton
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.dispatcher.filters import Text
from aiogram.dispatcher.filters import Command
from aiogram.types import Message
from aiogram import executor
from aiogram.types import InlineKeyboardMarkup, ReplyKeyboardMarkup, KeyboardButton, ReplyKeyboardRemove, InlineKeyboardButton
import aiosqlite
import asyncio
API_TOKEN = '7070823778:AAH9yYNf99tOtSxYfKAueqvlS_Km9VMI-h0'
OPERATORS = ['989037374']
CHANNEL_NAME = '-1002007209581'
bot = Bot(token=API_TOKEN)
storage = MemoryStorage()
dp = Dispatcher(bot, storage=storage)
class Form(StatesGroup):
waiting_for_question = State()
class QuestionState(StatesGroup):
waiting_for_question = State()
async def on_startup(dp):
async with aiosqlite.connect('users.db') as db:
await db.execute("""
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY,
username TEXT,
is_operator BOOLEAN
)
""")
await db.execute("""
CREATE TABLE IF NOT EXISTS tickets (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER,
operator_id INTEGER,
status TEXT,
question TEXT,
channel_message_id INTEGER
)
""")
await db.commit()
for operator_id in OPERATORS: # Здесь OPERATORS должен содержать user_id операторов
await db.execute("INSERT OR IGNORE INTO users (id, is_operator) VALUES (?, ?)",
(operator_id, True))
await db.commit()
@dp.message_handler(commands=['start'])
async def cmd_start(message: types.Message):
args = message.get_args()
if args.startswith('ticket_'):
ticket_id = args.split('_')[1]
user_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
# Проверяем, является ли пользователь оператором
cursor = await db.execute("SELECT is_operator FROM users WHERE id = ?", (user_id,))
is_operator = await cursor.fetchone()
if is_operator and is_operator[0]:
# Отправляем сообщение с подтверждением
confirm_button = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет", callback_data=f"confirm_take_{ticket_id}"))
await message.answer(f"Вы уверены, что хотите взять тикет #{ticket_id}?", reply_markup=confirm_button)
else:
await message.answer("Извините, эта функция доступна только операторам.")
else:
await send_welcome(message)
async def send_welcome(message: types.Message):
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('Задать вопрос'), KeyboardButton('База знаний'))
await message.answer("Привет! Я бот техподдержки. Чем могу помочь?", reply_markup=markup)
@dp.callback_query_handler(lambda c: c.data and c.data.startswith('confirm_take'))
async def handle_confirm_take(callback_query: types.CallbackQuery):
ticket_id = callback_query.data.split('_')[2] # Получаем id тикета из callback_data
user_id = callback_query.from_user.id
async with aiosqlite.connect('users.db') as db:
# Обновляем данные о тикете
await db.execute("UPDATE tickets SET operator_id = ?, status = ? WHERE id = ?",
(user_id, "в обработке", ticket_id))
await db.commit()
# Отправляем уведомление оператору
await bot.answer_callback_query(callback_query.id, f"Вы взяли тикет #{ticket_id}.")
await callback_query.message.edit_text(f"Тикет #{ticket_id} взят оператором.")
# Здесь можно добавить логику для начала диалога между оператором и пользователем
@dp.message_handler(lambda message: message.text == "Задать вопрос")
async def ask_question(message: types.Message):
await QuestionState.waiting_for_question.set()
markup = ReplyKeyboardMarkup(resize_keyboard=True, selective=True).add("Отмена")
await message.reply("Задайте свой вопрос:", reply_markup=markup)
@dp.message_handler(state='', commands='Отмена')
@dp.message_handler(Text(equals='Отмена', ignore_case=True), state='*')
async def cancel_handler(message: types.Message, state: FSMContext):
await state.finish()
await send_welcome(message)
KEYWORDS = ['проблема', 'не работает', 'ошибка'] # Примерные ключевые слова для демонстрации
@dp.message_handler(state=QuestionState.waiting_for_question)
async def process_question(message: types.Message, state: FSMContext):
await state.finish() # Завершаем текущее состояние
# Проверяем, есть ли в вопросе ключевые слова
if any(keyword in message.text.lower() for keyword in KEYWORDS):
# Пример ответа на вопрос с ключевыми словами
await message.answer("Кажется, у вас проблема. Попробуйте перезагрузить устройство.",
reply_markup=ReplyKeyboardMarkup(
resize_keyboard=True).add(
KeyboardButton('Обратиться к оператору')))
else:
await message.answer("Давайте найдем оператора, который сможет вам помочь.")
# Тут же можно вставить вызов функции отправки тикета в канал
await handle_operator_request(message)
@dp.message_handler(state=Form.waiting_for_question)
async def process_question(message: types.Message, state: FSMContext):
question = message.text.lower()
if "ключевое слово" in question: # Простая проверка на наличие ключевого слова
await message.answer("Возможный ответ на ваш вопрос…", reply_markup=ReplyKeyboardMarkup(
resize_keyboard=True).add("Обратиться к оператору"))
else:
await message.answer("Ищем оператора для вас…", reply_markup=ReplyKeyboardMarkup(
resize_keyboard=True).add("Отмена"))
# Здесь должен быть код для поиска оператора и отправки тикета в канал
await state.finish()
@dp.message_handler(lambda message: message.text.lower() == "обратиться к оператору")
async def handle_operator_request(message: types.Message):
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("INSERT INTO tickets (user_id, status, question) VALUES (?, ?, ?)",
(message.from_user.id, "открыт", message.text))
ticket_id = cursor.lastrowid
await db.commit()
# Отправляем информацию в канал для операторов и получаем message_id
call_operator_btn = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет",
callback_data=f"take_ticket_{ticket_id}"))
sent_message = await bot.send_message(CHANNEL_NAME,
f"Пользователь @{message.from_user.username} ({message.from_user.id}) создал тикет #{ticket_id}:\n\n'{message.text}'",
reply_markup=call_operator_btn)
# Сохраняем message_id сообщения в канале вместе с тикетом
async with aiosqlite.connect('users.db') as db:
await db.execute("UPDATE tickets SET channel_message_id = ? WHERE id = ?", (sent_message.message_id, ticket_id))
await db.commit()
@dp.callback_query_handler(lambda c: c.data and c.data.startswith('take_ticket'))
async def handle_ticket_take(callback_query: types.CallbackQuery):
user_id = str(callback_query.from_user.id) # Преобразуем user_id к строке
if user_id in OPERATORS:
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT id FROM tickets WHERE status = 'открыт' ORDER BY id DESC LIMIT 1")
ticket = await cursor.fetchone()
if ticket:
ticket_id = ticket[0]
# Здесь другая логика для обновления тикета и информирования пользователя
await db.execute("UPDATE tickets SET operator_id = ?, status = 'в обработке' WHERE id = ?",
(user_id, ticket_id))
await db.commit()
# Измените это сообщение на то, что соответствует вашему приложению
await bot.answer_callback_query(callback_query.id, f"Вы взяли тикет #{ticket_id}.")
# Обновляем сообщение в канале, убираем кнопку
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=callback_query.message.message_id,
text=f"Тикет #{ticket_id} взят оператором.",
reply_markup=None)
else:
await bot.answer_callback_query(callback_query.id, "Свободных тикетов нет.", show_alert=True)
else:
await bot.answer_callback_query(callback_query.id, "Вы не являетесь оператором.", show_alert=True)
@dp.message_handler(commands=['stop'], user_id=OPERATORS)
async def cmd_stop(message: Message):
operator_id = message.from_user.id
# Находим активный чат (тикет) для этого оператора.
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("""
SELECT id, user_id FROM tickets
WHERE operator_id = ? AND status = 'в обработке'
""", (operator_id,))
ticket_info = await cursor.fetchone()
if ticket_info:
ticket_id, user_id = ticket_info
# Обновляем статус тикета на "закрыт".
await db.execute("UPDATE tickets SET status = 'закрыт' WHERE id = ?", (ticket_id,))
await db.commit()
# Уведомляем пользователя о завершении диалога.
await bot.send_message(user_id, "Оператор завершил этот диалог. Если у вас есть дополнительные вопросы, пожалуйста, обратитесь снова.")
# Отправляем подтверждение оператору.
await message.reply("Вы успешно завершили диалог.")
else:
# Если активных чатов не найдено, уведомляем об этом оператора.
await message.reply("У вас нет активных диалогов.")
@dp.message_handler(lambda message: message.chat.type == 'private')
async def forward_to_operator(message: types.Message):
# Эта функция направляет сообщения от пользователей к их операторам.
user_id = message.from_user.id
# Находим оператора для пользователя
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute(
"SELECT operator_id FROM tickets WHERE user_id = ? AND status = 'в обработке' LIMIT 1", (user_id,))
operator_info = await cursor.fetchone()
if operator_info:
operator_id = operator_info[0]
await bot.send_message(operator_id, f"Сообщение от {message.from_user.username}: {message.text}")
else:
await message.reply(
"В настоящий момент ни один оператор не связан с вашим запросом. Пожалуйста, подождите.")
@dp.message_handler(user_id=OPERATORS) # Предполагаем, что у вас есть список ID операторов
async def forward_to_user(message: types.Message):
# Эта функция направляет сообщения от операторов к пользователям.
# Здесь вам нужно будет добавить логику для определения, к какому пользователю направить сообщение от оператора.
pass
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(on_startup(dp))
executor.start_polling(dp, skip_updates=True)
Учитывай, что я хочу, чтобы кнопка в посте в канале была ИМЕННО ССЫЛКОЙ вида t.me/antihypesupportbot?start=ticket_{ticket_id}
|
2a0abc41da58692d90fe20bd2fb00240
|
{
"intermediate": 0.3041613698005676,
"beginner": 0.5397744178771973,
"expert": 0.15606427192687988
}
|
44,528
|
TypeError: Invalid comparison between dtype=datetime64[ns] and DatetimeArray
|
0b357cd3f9cb7462544be6de4b4396d5
|
{
"intermediate": 0.4562318027019501,
"beginner": 0.2653445899486542,
"expert": 0.27842363715171814
}
|
44,529
|
Add hessian approximation into this optimizer code that is to be used to finetune llms:
import torch
from torch.optim.optimizer import Optimizer
import math
class Fusedbun(Optimizer):
def __init__(self, params, lr=1e-3, eps=1e-8, beta_decay=0.8, Lambda=0.01, momentum_beta=0.9, centralize=True, use_rms=True):
"""
Args:
params (iterable): An iterable of parameters.
lr (float, optional): The learning rate (default: 1e-3).
eps (float, optional): A small value for numerical stability (default: 1e-8).
beta_decay (float, optional): A parameter controlling the rate of decay for the moving average of squared gradients (default: 0.8).
Lambda (float, optional): default: 0.01
momentum_beta (float, optional): Coefficient for the moving average of gradients (momentum) (default: 0.9).
centralize (bool, optional): Boolean indicating whether to centralize gradients to have zero mean (default: True).
use_rms (bool, optional): Boolean indicating whether to use RMSprop-like denominator normalization (default: True).
"""
defaults = dict(lr=lr, eps=eps, beta_decay=beta_decay, Lambda=Lambda, momentum_beta=momentum_beta, centralize=centralize, use_rms=use_rms)
super(Fusedbun, self).__init__(params, defaults)
@torch.no_grad()
def step(self, closure=None):
"""
Args:
closure (callable, optional): A closure that reevaluates the model and returns the loss.
Returns:
loss (Tensor, optional): The loss tensor, if the closure is provided.
"""
loss = None
if closure is not None:
# compute the loss if a closure is provided
loss = closure()
for group in self.param_groups:
lr = group['lr']
eps = group['eps']
beta_decay = group['beta_decay']
Lambda = group['Lambda']
momentum_beta = group['momentum_beta']
centralize = group['centralize']
use_rms = group['use_rms']
for p in group['params']:
if p.grad is None:
continue
grad = p.grad.data
if centralize and len(p.shape) > 1:
# centralize gradients for non-scalar parameters (from adalite)
grad = grad.sub(grad.mean(dim=tuple(range(1, len(grad.shape))), keepdim=True))
state = self.state[p]
if len(state) == 0:
state['step'] = 0
state['exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format)
if momentum_beta > 0:
state['momentum_buffer'] = torch.zeros_like(p, memory_format=torch.preserve_format)
exp_avg_sq = state['exp_avg_sq']
state['step'] += 1
if momentum_beta > 0:
momentum_buffer = state['momentum_buffer']
momentum_buffer.mul_(momentum_beta).add_(grad)
grad = momentum_buffer
#sparse update mechanism
if p.dim() > 1:
mask = grad.abs() > eps
grad = grad * mask
exp_avg_sq = torch.where(mask, exp_avg_sq*beta_decay + (1-beta_decay)*grad.pow(2), exp_avg_sq)
else:
exp_avg_sq.mul_(beta_decay).addcmul_(grad, grad, value=1-beta_decay)
denom = exp_avg_sq.sqrt().add_(eps)
grad_normalized = grad / denom if use_rms else grad
if Lambda != 0:
p.data.mul_(1 - lr * Lambda)
p.data.add_(grad_normalized, alpha=-lr)
return loss
|
8ede962c7cdb494ad4bf09ff8f816d83
|
{
"intermediate": 0.39038753509521484,
"beginner": 0.3906342089176178,
"expert": 0.21897825598716736
}
|
44,530
|
Windows batch file to covert all wav files in folder to mp3 files using ffmpeg
|
e50d85adc2742534f865d9fe6dc4e37d
|
{
"intermediate": 0.4086620807647705,
"beginner": 0.20900920033454895,
"expert": 0.38232874870300293
}
|
44,531
|
i have a project folder with :
database\data_temp\conversion.py
and pricing_engine\utilities\helpers.py
in the project
both have init.py , when i try calling import pricing_engine.utilities.helpers as helpers from conversion.py it rasises ModuleNotFoundError: No module named 'pricing_engine'
|
ceed9fb7f3209bf18be104d808657637
|
{
"intermediate": 0.39699938893318176,
"beginner": 0.36994555592536926,
"expert": 0.23305504024028778
}
|
44,532
|
how do i change the FaArrowUp at className top-btn--icon from white to background-image: linear-gradient(-225deg, #231557 0%, #44107A 29%, #FF1361 67%, #FFF800 100%); in my react app: import React, { useEffect, useState } from 'react'
import styled from 'styled-components'
import { FaArrowUp } from 'react-icons/fa'
const GoToTop = () => {
const [isVisible,setIsVisible] = useState(false);
const goToBtn = () => {
window.scrollTo({top:0,left:0,behavior:"smooth"});
};
const listenToScroll = () => {
let heightToHidden = 250;
const winScroll = document.body.scrollTop || document.documentElement.scrollTop;
// console.log('winScroll: ', winScroll);
if(winScroll>heightToHidden){
setIsVisible(true);
}else{
setIsVisible(false);
}
}
useEffect(()=>{
window.addEventListener('scroll',listenToScroll);
//for load
return() => window.removeEventListener('scroll',listenToScroll);
},[])
return (
<Wrapper>
{isVisible && (
<div className="top-btn" onClick={goToBtn}>
<FaArrowUp className='top-btn--icon'/>
</div>
)}
</Wrapper>
)
}
const Wrapper = styled.section`
display:flex;
justify-content:center;
align-items:center;
.top-btn{
font-size:2.4rem;
width:6rem;
height:6rem;
color:#fff;
background-color:rgb(98 84 243);
box-shadow:${({theme})=>theme.colors.shadow};
border-radius:50%;
position:fixed;
bottom:5rem;
right:5rem;
z-index:999;
display:flex;
justify-content:center;
align-items:center;
cursor:pointer;
&--icon{
animation: gototop 1.2s linear infinite alternate-reverse;
}
@keyframes gototop {
0%{
transform : translateY(-0.5rem);
}
100%{
transform: translateY(1rem);
}
}
}
`
export default GoToTop
|
f6675bf44dd648622f3829fe6f74d9b7
|
{
"intermediate": 0.341266393661499,
"beginner": 0.5313276052474976,
"expert": 0.1274060159921646
}
|
44,533
|
Hi, I have a local repository that I would synchronize with a remote repository. I would like to create the remote repository directly from Git. How can I do?
|
ffd0a1db2b74abc2b51801ecc1057f79
|
{
"intermediate": 0.4330140948295593,
"beginner": 0.26031047105789185,
"expert": 0.30667543411254883
}
|
44,534
|
Hi! In the case that in C++ project I would have build/ folder separate from bin/ one, have I to introduce some lines of code in my CMakeLists.txt? Namely, usually I create a build/ directory, go inside it, and then
cmake …/
cmake --build .
However, with such commands I will create an executable inside this build/ folder.
|
05790de8c40643f23f34f6bdcbf1e4fd
|
{
"intermediate": 0.42007923126220703,
"beginner": 0.33267560601234436,
"expert": 0.2472451627254486
}
|
44,535
|
transfor mthis into json: point:
x: -0.023103713989257812
y: -1.9493672847747803
z: 0.004488945007324219
---
point:
x: 2.101100444793701
y: -1.6588795185089111
z: 0.006519317626953125
---
point:
x: 2.5287222862243652
y: -0.32134079933166504
z: 0.0037126541137695312
---
point:
x: 0.9061293601989746
y: 0.44204187393188477
z: 0.0034646987915039062
---
point:
x: 2.2219018936157227
y: 1.980624794960022
z: 0.0011157989501953125
---
point:
x: 1.1156058311462402
y: 3.4300408363342285
z: 0.0038156509399414062
---
point:
x: -0.46977853775024414
y: 3.242877960205078
z: -0.00022220611572265625
---
point:
x: -1.5030198097229004
y: 4.657849311828613
z: -0.00079345703125
---
point:
x: -1.6512951850891113
y: 1.6116106510162354
z: 0.0026826858520507812
---
point:
x: -0.3505887985229492
y: 1.9661757946014404
z: -0.0007028579711914062
---
point:
x: -0.7707219123840332
y: 0.6003820896148682
z: 0.0046844482421875
---
point:
x: -0.685844898223877
y: -0.5849349498748779
z: 0.00269317626953125
---
|
3ac9e64cb687687d3970be7cd518f2fc
|
{
"intermediate": 0.3888252377510071,
"beginner": 0.34591227769851685,
"expert": 0.2652624249458313
}
|
44,536
|
Hi, in CMakeLists.txt I added the runtime output directory to put executable inside bin/ folder, to separate bin/ from build/ folders. However, I would like to even differentiate if I build in Debug version or Release version. How can I do such arrangement?
|
2dcbcdac8f8bd9f835db3bc7a33800ff
|
{
"intermediate": 0.5359042286872864,
"beginner": 0.18269231915473938,
"expert": 0.28140348196029663
}
|
44,537
|
Develop parallel codes for the following problems using JAVA. Report the speedup of your implementations by varying the number of threads from 1 to 16 (i.e., 1, 2, 4, 6, 8, 10, 12, 14, and 16). Consider gettimeofday() to measure the runtime of an execution:
Create a sorted linked List with 1000 nodes using lazy synchronization technique (assume that the nodes consist of fields: key and next. The range of keys from the set {0 ... 212}).
Measure the time to perform 100 Million operations for the workload (50C, 25I, 25D) by varying the number of threads from 1 to 16 and using the following locks (or synchronization objects):
TTAS with Exponential Back-off
|
f82dea1ac9678a64a37978ce40331743
|
{
"intermediate": 0.5327708125114441,
"beginner": 0.16361458599567413,
"expert": 0.30361467599868774
}
|
44,538
|
Hi, in CMakeLists.txt I added the runtime output directory to put executable inside bin/ folder, to separate bin/ from build/ folders. However, I would like to even differentiate if I build in Debug version or Release version. How can I do such arrangement?
|
88500d98fc50a834f04e04a976b3194b
|
{
"intermediate": 0.5359042286872864,
"beginner": 0.18269231915473938,
"expert": 0.28140348196029663
}
|
44,539
|
#include <iostream>
#include <Windows.h>
#include <TlHelp32.h>
#include <vector>
static DWORD get_process_id(const wchar_t* process_name) {
DWORD process_id = 0;
HANDLE snap_shot = CreateToolhelp32Snapshot(TH32CS_SNAPPROCESS, NULL);
if (snap_shot == INVALID_HANDLE_VALUE)
return process_id;
PROCESSENTRY32W entry = {};
entry.dwSize = sizeof(decltype(entry));
if (Process32FirstW(snap_shot, &entry) == TRUE) {
// Check if the first handle is the one we want.
if (_wcsicmp(process_name, entry.szExeFile) == 0)
process_id = entry.th32ProcessID;
else {
while (Process32NextW(snap_shot, &entry) == TRUE) {
if (_wcsicmp(process_name, entry.szExeFile) == 0) {
process_id = entry.th32ProcessID;
break;
}
}
}
}
CloseHandle(snap_shot);
return process_id;
}
static std::uintptr_t get_module_base(const DWORD pid, const wchar_t* module_name) {
std::uintptr_t module_base = 0;
// Snap-shot of process' modules (dlls).
HANDLE snap_shot = CreateToolhelp32Snapshot(TH32CS_SNAPMODULE | TH32CS_SNAPMODULE32, pid);
if (snap_shot == INVALID_HANDLE_VALUE)
return module_base;
MODULEENTRY32W entry = {};
entry.dwSize = sizeof(decltype(entry));
if (Module32FirstW(snap_shot, &entry) == TRUE) {
if (wcsstr(module_name, entry.szModule) != nullptr)
module_base = reinterpret_cast<std::uintptr_t>(entry.modBaseAddr);
else {
while (Module32NextW(snap_shot, &entry) == TRUE) {
if (wcsstr(module_name, entry.szModule) != nullptr) {
module_base = reinterpret_cast<std::uintptr_t>(entry.modBaseAddr);
break;
}
}
}
}
CloseHandle(snap_shot);
return module_base;
}
namespace driver {
namespace codes {
// Used to setup the driver.
constexpr ULONG attach =
CTL_CODE(FILE_DEVICE_UNKNOWN, 0x696, METHOD_BUFFERED, FILE_SPECIAL_ACCESS);
// Read process memory.
constexpr ULONG read =
CTL_CODE(FILE_DEVICE_UNKNOWN, 0x697, METHOD_BUFFERED, FILE_SPECIAL_ACCESS);
// Write process memory.
constexpr ULONG write =
CTL_CODE(FILE_DEVICE_UNKNOWN, 0x698, METHOD_BUFFERED, FILE_SPECIAL_ACCESS);
} // namespace codes
// Shares between user mode & kernel mode.
struct Request {
HANDLE process_id;
PVOID target;
PVOID buffer;
SIZE_T size;
SIZE_T return_size;
};
bool attach_to_process(HANDLE driver_handle, const DWORD pid) {
Request r;
r.process_id = reinterpret_cast<HANDLE>(pid);
return DeviceIoControl(driver_handle, codes::attach, &r, sizeof(r), &r, sizeof(r), nullptr, nullptr);
}
std::vector<unsigned char> read_memory(HANDLE driver_handle, std::uintptr_t addr, std::size_t size) {
std::vector<unsigned char> buffer(size);
Request r;
r.target = reinterpret_cast<PVOID>(addr);
r.buffer = buffer.data();
r.size = size;
DeviceIoControl(driver_handle, codes::read, &r, sizeof(r), &r, sizeof(r), nullptr, nullptr);
return buffer;
}
void write_memory(HANDLE driver_handle, std::uintptr_t addr, const std::vector<unsigned char>& value) {
Request r;
r.target = reinterpret_cast<PVOID>(addr);
r.buffer = (PVOID)value.data();
r.size = value.size();
DeviceIoControl(driver_handle, codes::write, &r, sizeof(r), &r, sizeof(r), nullptr, nullptr);
}
} // namespace driver
int main() {
const DWORD pid = get_process_id(L"l2.exe");
if (pid == 0) {
std::cout << "Failed to find l2.exe\n";
std::cin.get();
return 1;
}
const HANDLE driver = CreateFile(L"\\\\.\\MotorolaDriver", GENERIC_READ, 0, nullptr, OPEN_EXISTING,
FILE_ATTRIBUTE_NORMAL, nullptr);
if (driver == INVALID_HANDLE_VALUE) {
std::cout << "Failed to create our driver handle.\n";
std::cin.get();
return 1;
}
if (driver::attach_to_process(driver, pid) == true) {
std::cout << "Attachment successful.\n";
std::vector<unsigned char> sequence_to_find = { 0x44, 0x00, 0x65, 0x00, 0x62, 0x00, 0x75, 0x00, 0x67, 0x00, 0x4D, 0x00, 0x65, 0x00, 0x6E, 0x00, 0x75, 0x00, 0x2E, 0x00, 0x75, 0x00, 0x00, 0x00, 0x00, 0x00, 0x46, 0x00, 0x69, 0x00, 0x78, 0x00, 0x65, 0x00, 0x64, 0x00, 0x44, 0x00, 0x65, 0x00, 0x66, 0x00, 0x61, 0x00, 0x75, 0x00, 0x6C, 0x00, 0x74, 0x00, 0x43, 0x00, 0x61, 0x00, 0x6D, 0x00, 0x65, 0x00, 0x72, 0x00, 0x61, 0x00, 0x20, 0x00, 0x44, 0x00, 0x6F, 0x00, 0x77, 0x00, 0x6E, 0x00, 0x00, 0x00, 0x46, 0x00, 0x69, 0x00, 0x78, 0x00, 0x65, 0x00, 0x64, 0x00, 0x44, 0x00, 0x65, 0x00, 0x66, 0x00, 0x61, 0x00, 0x75, 0x00, 0x6C, 0x00, 0x74, 0x00, 0x43, 0x00, 0x61, 0x00, 0x6D, 0x00, 0x65, 0x00, 0x72, 0x00, 0x61, 0x00, 0x20, 0x00, 0x55, 0x00, 0x70, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x4B, 0x00, 0x65, 0x00, 0x79, 0x00, 0x62, 0x00, 0x6F, 0x00, 0x61, 0x00, 0x72, 0x00, 0x64, 0x00, 0x50, 0x00, 0x65, 0x00, 0x72, 0x00, 0x6D, 0x00, 0x61, 0x00, 0x6E, 0x00, 0x65, 0x00, 0x6E, 0x00, 0x74, 0x00, 0x4D, 0x00, 0x6F, 0x00, 0x76, 0x00, 0x65, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 };
std::vector<unsigned char> replacement_sequence = { 0x44, 0x00, 0x65, 0x00, 0x62, 0x00, 0x75, 0x00, 0x67, 0x00, 0x4D, 0x00, 0x65, 0x00, 0x6E, 0x00, 0x75, 0x00, 0x2E, 0x00, 0x75, 0x00, 0x00, 0x00, 0x00, 0x00, 0x4C, 0x00, 0x32, 0x00, 0x52, 0x00, 0x65, 0x00, 0x73, 0x00, 0x74, 0x00, 0x61, 0x00, 0x72, 0x00, 0x74, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x73, 0x00, 0x68, 0x00, 0x6F, 0x00, 0x77, 0x00, 0x20, 0x00, 0x70, 0x00, 0x61, 0x00, 0x72, 0x00, 0x74, 0x00, 0x69, 0x00, 0x63, 0x00, 0x6C, 0x00, 0x65, 0x00, 0x73, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x4B, 0x00, 0x65, 0x00, 0x79, 0x00, 0x62, 0x00, 0x6F, 0x00, 0x61, 0x00, 0x72, 0x00, 0x64, 0x00, 0x50, 0x00, 0x65, 0x00, 0x72, 0x00, 0x6D, 0x00, 0x61, 0x00, 0x6E, 0x00, 0x65, 0x00, 0x6E, 0x00, 0x74, 0x00, 0x4D, 0x00, 0x6F, 0x00, 0x76, 0x00, 0x65, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 };
}
CloseHandle(driver);
std::cin.get();
return 0;
}
|
6beddb607716faa93934692808e1e0ab
|
{
"intermediate": 0.38130176067352295,
"beginner": 0.3966865539550781,
"expert": 0.22201168537139893
}
|
44,540
|
translate Chinese to english, dont change other things
CodeName对应的前面加上Boss_会变成Boss
例如(Boss_Anubis)boss的阿努比斯
Pal Name: 美露帕
Code Name: Alpaca
Pal Name: 苍焰狼
Code Name: AmaterasuWolf
Pal Name: 阿努比斯
Code Name: Anubis
Pal Name: BadCatgirl(测试中)
Code Name: BadCatgirl
Pal Name: 炎魔羊
Code Name: Baphomet
Pal Name: 暗魔羊
Code Name: Baphomet_Dark
Pal Name: 喵丝特
Code Name: Bastet
Pal Name: 冰丝特
Code Name: Bastet_Ice
Pal Name: BeardedDragon(测试中)
Code Name: BeardedDragon
Pal Name: 灌木羊
Code Name: BerryGoat
Pal Name: 烽歌龙
Code Name: BirdDragon
Pal Name: 霜歌龙
Code Name: BirdDragon_Ice
Pal Name: 混沌骑士
Code Name: BlackCentaur
Pal Name: 龙灾(测试中)
Code Name: BlackFurDragon
Pal Name: 异构格里芬
Code Name: BlackGriffon
Pal Name: 魔渊龙
Code Name: BlackMetalDragon
Pal Name: BlueberryFairy(测试中)
Code Name: BlueberryFairy
Pal Name: 碧海龙
Code Name: BlueDragon
Pal Name: 冲浪鸭
Code Name: BluePlatypus
Pal Name: 草莽猪
Code Name: Boar
Pal Name: BrownRabbit(测试中)
Code Name: BrownRabbit
Pal Name: 企丸王
Code Name: CaptainPenguin
Pal Name: 翠叶鼠
Code Name: Carbunclo
Pal Name: 猫蝠怪
Code Name: CatBat
Pal Name: 暗巫猫
Code Name: CatMage
Pal Name: 夜幕魔蝠
Code Name: CatVampire
Pal Name: 皮皮鸡
Code Name: ChickenPal
Pal Name: 炸蛋鸟
Code Name: ColorfulBird
Pal Name: 波霸牛
Code Name: CowPal
Pal Name: 幻悦蝶
Code Name: CuteButterfly
Pal Name: 玉藻狐
Code Name: CuteFox
Pal Name: 遁地鼠
Code Name: CuteMole
Pal Name: DarkAlien(测试中)
Code Name: DarkAlien
Pal Name: 黑鸦隐士
Code Name: DarkCrow
Pal Name: DarkMechaDragon(测试中)
Code Name: DarkMechaDragon
Pal Name: 暗黑超梦(测试中)
Code Name: DarkMutant
Pal Name: 冥铠蝎
Code Name: DarkScorpion
Pal Name: 紫霞鹿
Code Name: Deer
Pal Name: 祇岳鹿
Code Name: Deer_Ground
Pal Name: 寐魔
Code Name: DreamDemon
Pal Name: 碎岩龟
Code Name: DrillGame
Pal Name: 天擒鸟
Code Name: Eagle
Pal Name: 伏特喵
Code Name: ElecCat
Pal Name: 雷角马
Code Name: ElecLion
Pal Name: 暴电熊
Code Name: ElecPanda
Pal Name: 精灵龙
Code Name: FairyDragon
Pal Name: 水灵龙
Code Name: FairyDragon_Water
Pal Name: FeatherOstrich(测试中)
Code Name: FeatherOstrich
Pal Name: 云海鹿
Code Name: FengyunDeeper
Pal Name: 火麒麟
Code Name: FireKirin
Pal Name: 邪麒麟
Code Name: FireKirin_Dark
Pal Name: 燎火鹿
Code Name: FlameBambi
Pal Name: 炽焰牛
Code Name: FlameBuffalo
Pal Name: 花冠龙
Code Name: FlowerDinosaur
Pal Name: 雷冠龙
Code Name: FlowerDinosaur_Electric
Pal Name: 花丽娜
Code Name: FlowerDoll
Pal Name: 波娜免
Code Name: FlowerRabbit
Pal Name: 鲁米儿
Code Name: FlyingManta
Pal Name: 焰巫狐
Code Name: FoxMage
Pal Name: 壶小象
Code Name: Ganesha
Pal Name: 猎狼
Code Name: Garm
Pal Name: 噬魂兽
Code Name: GhostBeast
Pal Name: GhostRabbit(测试中)
Code Name: GhostRabbit
Pal Name: GoldenHorse(测试中)
Code Name: GoldenHorse
Pal Name: 铁拳猿
Code Name: Gorilla
Pal Name: GrassDragon(测试中)
Code Name: GrassDragon
Pal Name: 森猛犸
Code Name: GrassMammoth
Pal Name: 雪猛犸
Code Name: GrassMammoth_Ice
Pal Name: 叶胖达
Code Name: GrassPanda
Pal Name: 雷胖达
Code Name: GrassPanda_Electric
Pal Name: 踏春兔
Code Name: GrassRabbitMan
Pal Name: GuardianDog(测试中)
Code Name: GuardianDog
Pal Name: 雷冥鸟
Code Name: HadesBird
Pal Name: 疾风隼
Code Name: HawkBird
Pal Name: 雷棘鼠
Code Name: Hedgehog
Pal Name: 冰刺鼠
Code Name: Hedgehog_Ice
Pal Name: 铠格力斯
Code Name: HerculesBeetle
Pal Name: 荷鲁斯
Code Name: Horus
Pal Name: 严冬鹿
Code Name: IceDeer
Pal Name: 吹雪狐
Code Name: IceFox
Pal Name: 唤冬兽
Code Name: IceHorse
Pal Name: 唤夜兽
Code Name: IceHorse_Dark
Pal Name: 空涡龙
Code Name: JetDragon
Pal Name: 水灵儿
Code Name: Kelpie
Pal Name: 火灵儿
Code Name: Kelpie_Fire
Pal Name: 君王美露帕
Code Name: KingAlpaca
Pal Name: 冰帝美露帕
Code Name: KingAlpaca_Ice
Pal Name: 焰煌
Code Name: KingBahamut
Pal Name: 雷角马
Code Name: Kirin
Pal Name: 火绒狐
Code Name: Kitsunebi
Pal Name: 熔焰娘
Code Name: LavaGirl
Pal Name: 趴趴鲶
Code Name: LazyCatfish
Pal Name: 佩克龙
Code Name: LazyDragon
Pal Name: 派克龙
Code Name: LazyDragon_Electric
Pal Name: LeafPrincess(测试中)
Code Name: LeafPrincess
Pal Name: 百合女王
Code Name: LilyQueen
Pal Name: 黑月女王
Code Name: LilyQueen_Dark
Pal Name: 荆棘魔仙
Code Name: LittleBriarRose
Pal Name: 朋克蜥
Code Name: LizardMan
Pal Name: 热血蜥
Code Name: LizardMan_Fire
Pal Name: 狱焰王
Code Name: Manticore
Pal Name: 狱阎王
Code Name: Manticore_Dark
Pal Name: 新叶猿
Code Name: Monkey
Pal Name: 毛掸儿
Code Name: MopBaby
Pal Name: 毛老爹
Code Name: MopKing
Pal Name: 秘斯媞雅
Code Name: Mutant
Pal Name: 笑魇猫
Code Name: NaughtyCat
Pal Name: 瞅什魔
Code Name: NegativeKoala
Pal Name: 勾魂鱿
Code Name: NegativeOctopus
Pal Name: NightBlueHorse(测试中)
Code Name: NightBlueHorse
Pal Name: 露娜蒂
Code Name: NightFox
Pal Name: NightLady(测试中)
Code Name: NightLady
Pal Name: 企丸丸
Code Name: Penguin
Pal Name: 捣蛋猫
Code Name: PinkCat
Pal Name: PinkKangaroo(测试中)
Code Name: PinkKangaroo
Pal Name: 博爱蜥
Code Name: PinkLizard
Pal Name: 姬小兔
Code Name: PinkRabbit
Pal Name: 叶泥泥
Code Name: PlantSlime
Pal Name: 女王蜂
Code Name: QueenBee
Pal Name: 雷鸣童子
Code Name: RaijinDaughter
Pal Name: 燧火鸟
Code Name: RedArmorBird
Pal Name: 羽箭射手
Code Name: RobinHood
Pal Name: 山岳射手
Code Name: RobinHood_Ground
Pal Name: 浪刃武士
Code Name: Ronin
Pal Name: 圣光骑士
Code Name: SaintCentaur
Pal Name: 连理龙
Code Name: SakuraSaurus
Pal Name: 海誓龙
Code Name: SakuraSaurus_Water
Pal Name: ScorpionMan(测试中)
Code Name: ScorpionMan
Pal Name: 滑水蛇
Code Name: Serpent
Pal Name: 流沙蛇
Code Name: Serpent_Ground
Pal Name: 鲨小子
Code Name: SharkKid
Pal Name: 小红鲨
Code Name: SharkKid_Fire
Pal Name: 棉悠悠
Code Name: SheepBall
Pal Name: SifuDog(测试中)
Code Name: SifuDog
Pal Name: 天羽龙
Code Name: SkyDragon
Pal Name: 工蜂
Code Name: SoldierBee
Pal Name: 朱雀
Code Name: Suzaku
Pal Name: 清雀
Code Name: Suzaku_Water
Pal Name: 棉花糖
Code Name: SweetsSheep
Pal Name: TentacleTurtle(测试中)
Code Name: TentacleTurtle
Pal Name: 迅雷鸟
Code Name: ThunderBird
Pal Name: 霹雳犬
Code Name: ThunderDog
Pal Name: 波鲁杰克斯
Code Name: ThunderDragonMan
Pal Name: 覆海龙
Code Name: Umihebi
Pal Name: 腾炎龙
Code Name: Umihebi_Fire
Pal Name: 薇莉塔
Code Name: VioletFairy
Pal Name: 熔岩兽
Code Name: VolcanicMonster
Pal Name: 寒霜兽
Code Name: VolcanicMonster_Ice
Pal Name: VolcanoDragon(测试中)
Code Name: VolcanoDragon
Pal Name: WaterLizard(测试中)
Code Name: WaterLizard
Pal Name: 疾旋鼬
Code Name: WeaselDragon
Pal Name: 月镰魔
Code Name: Werewolf
Pal Name: 绸笠蛾
Code Name: WhiteMoth
Pal Name: 冰棘兽
Code Name: WhiteTiger
Pal Name: 吊缜灵
Code Name: Windchimes
Pal Name: 冰缚灵
Code Name: Windchimes_Ice
Pal Name: WingGolem(测试中)
Code Name: WingGolem
Pal Name: 啼卡尔
Code Name: WizardOwl
Pal Name: 米露菲
Code Name: WoolFox
Pal Name: 白绒雪怪
Code Name: Yeti
Pal Name: 绿苔绒怪
Code Name: Yeti_Grass
Pal Name: Zoe & Grizzbolt（塔主：佐恩）
Code Name: GrassBoss
Pal Name: Lily & Lyleen（塔主：莉莉）
Code Name: ForestBoss
Pal Name: Marcus & Faleris（塔主：马库斯）
Code Name: DessertBoss
Pal Name: Axel & Orserk（塔主：阿克塞尔）
Code Name: VolcanoBoss
Pal Name: Victor & Shadowbeak（塔主：维克托）
Code Name: SnowBoss
|
6933f271c93b3110002f9451191f9c27
|
{
"intermediate": 0.32907986640930176,
"beginner": 0.3601114749908447,
"expert": 0.3108086884021759
}
|
44,541
|
i have a csv file whith a column named "data__timeList"
its values are like :
1.71E+12
i want to convert its values to date forrmat
give me proper python code
|
71e1b6a39747c88b90d6551898f5b6e0
|
{
"intermediate": 0.4848088324069977,
"beginner": 0.2810817062854767,
"expert": 0.23410941660404205
}
|
44,542
|
Привет! Давай добавим кнопку "Назад" в категории и темы базы знаний, в том числе и на итоговый ответ бота. from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.types import ReplyKeyboardMarkup, KeyboardButton
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.dispatcher.filters import Text
from aiogram.types import Message
from aiogram import executor
from aiogram.types import InlineKeyboardMarkup, ReplyKeyboardMarkup, KeyboardButton, ReplyKeyboardRemove, InlineKeyboardButton
import aiosqlite
import pytz
from datetime import datetime
import asyncio
API_TOKEN = '7070823778:AAH9yYNf99tOtSxYfKAueqvlS_Km9VMI-h0'
OPERATORS = ['989037374']
CHANNEL_NAME = '-1002007209581'
bot = Bot(token=API_TOKEN)
storage = MemoryStorage()
dp = Dispatcher(bot, storage=storage)
class Form(StatesGroup):
waiting_for_question = State()
class QuestionState(StatesGroup):
waiting_for_question = State()
async def on_startup(dp):
async with aiosqlite.connect('users.db') as db:
await db.execute("""
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY,
username TEXT,
is_operator BOOLEAN
)
""")
await db.execute("""
CREATE TABLE IF NOT EXISTS tickets (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER,
operator_id INTEGER,
status TEXT,
question TEXT,
channel_message_id INTEGER,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
await db.commit()
for operator_id in OPERATORS:
await db.execute("INSERT OR IGNORE INTO users (id, is_operator) VALUES (?, ?)",
(operator_id, True))
await db.commit()
@dp.message_handler(commands=['start'])
async def cmd_start(message: types.Message):
args = message.get_args()
if args.startswith('ticket_'):
ticket_id = args.split('_')[1]
user_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT is_operator FROM users WHERE id = ?", (user_id,))
is_operator = await cursor.fetchone()
if is_operator and is_operator[0]:
confirm_button = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет", callback_data=f"confirm_take_{ticket_id}"))
await message.answer(f"Вы уверены, что хотите взять тикет #{ticket_id}?", reply_markup=confirm_button)
else:
await message.answer("Извините, эта функция доступна только операторам.")
elif str(message.from_user.id) not in OPERATORS:
await send_welcome(message)
else:
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('Завершить диалог'))
await message.answer("*Вы являетесь оператором\.* Пожалуйста, перейдите в канал для приема тикетов\.\n\nhttps://t\.me/\+7X4aYo5LQLxmNTYy", reply_markup=markup,parse_mode="MarkdownV2")
async def send_welcome(message: types.Message):
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('Задать вопрос'), KeyboardButton('База знаний'))
await message.answer("Привет! Я бот техподдержки. Чем могу помочь?", reply_markup=markup)
@dp.callback_query_handler(lambda c: c.data and c.data.startswith('confirm_take'))
async def handle_confirm_take(callback_query: types.CallbackQuery):
ticket_id = callback_query.data.split('_')[2]
operator_id = callback_query.from_user.id
async with aiosqlite.connect('users.db') as db:
await db.execute("UPDATE tickets SET operator_id = ?, status = 'в обработке' WHERE id = ?", (operator_id, ticket_id))
await db.commit()
cursor = await db.execute("SELECT user_id, channel_message_id FROM tickets WHERE id = ?", (ticket_id,))
user_id, channel_message_id = await cursor.fetchone()
if user_id:
await bot.send_message(user_id, "Оператор найден!")
if channel_message_id:
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=channel_message_id, text=f"Тикет #{ticket_id} взят оператором", reply_markup=None)
await callback_query.message.edit_text(f"Вы взяли тикет \#{ticket_id}\. Теперь можно общаться с пользователем\.\n\nДля завершения диалога используйте кнопку *Завершить диалог*", reply_markup=None,parse_mode="MarkdownV2")
@dp.message_handler(lambda message: message.text == "База знаний")
async def show_knowledge_base_categories(message: types.Message):
markup = types.InlineKeyboardMarkup(row_width=2)
markup.add(types.InlineKeyboardButton(text="Атомы", callback_data="category_atoms"),
types.InlineKeyboardButton(text="Молекулы", callback_data="category_molecules"),
types.InlineKeyboardButton(text="Муравьи", callback_data="category_ants"))
await message.answer("Выберите категорию:", reply_markup=markup)
@dp.callback_query_handler(lambda c: c.data.startswith('category_'))
async def show_subcategories(callback_query: types.CallbackQuery):
action = callback_query.data.split('_')[1]
markup = types.InlineKeyboardMarkup(row_width=1)
if action == "atoms":
markup.add(types.InlineKeyboardButton(text="Протоны", callback_data="atoms_protons"),
types.InlineKeyboardButton(text="Электроны", callback_data="atoms_electrons"),
types.InlineKeyboardButton(text="Нейтроны", callback_data="atoms_neutrons"))
text = "Атомы: выберите интересующую тему"
elif action == "molecules":
markup.add(types.InlineKeyboardButton(text="Вода H2O", callback_data="molecules_water"),
types.InlineKeyboardButton(text="Углекислый газ CO2", callback_data="molecules_co2"),
types.InlineKeyboardButton(text="Озон O3", callback_data="molecules_o3"))
text = "Молекулы: выберите интересующую тему"
elif action == "ants":
markup.add(types.InlineKeyboardButton(text="Образ жизни муравьев", callback_data="ants_lifestyle"),
types.InlineKeyboardButton(text="Питание муравьев", callback_data="ants_food"),
types.InlineKeyboardButton(text="Муравьи и экосистема", callback_data="ants_ecosystem"))
text = "Муравьи: выберите интересующую тему"
await bot.edit_message_text(text=text, chat_id=callback_query.from_user.id,
message_id=callback_query.message.message_id,
reply_markup=markup)
@dp.callback_query_handler(lambda c: c.data.startswith('atoms_') or
c.data.startswith('molecules_') or
c.data.startswith('ants_'))
async def show_information(callback_query: types.CallbackQuery):
data = callback_query.data
info = "Информация не найдена."
if data == "atoms_protons":
info = "Протон – это субатомная частица, имеющая положительный электрический заряд."
elif data == "atoms_electrons":
info = "Электрон – это субатомная частица, имеющая отрицательный электрический заряд."
elif data == "atoms_neutrons":
info = "Нейтрон – это субатомная частица без электрического заряда."
elif data == "molecules_water":
info = "Вода (H2O) – это молекула, состоящая из двух атомов водорода и одного атома кислорода."
elif data == "molecules_co2":
info = "Углекислый газ (CO2) – это молекула, состоящая из одного атома углерода и двух атомов кислорода."
elif data == "molecules_o3":
info = "Озон (O3) – это молекула, состоящая из трех атомов кислорода, играет важную роль в защите Земли от ультрафиолетового излучения."
elif data == "ants_lifestyle":
info = "Муравьи – это социальные насекомые, живущие колониями. Есть рабочие муравьи, солдаты, и королева."
elif data == "ants_food":
info = "Муравьи могут питаться растительной пищей, другими насекомыми, а также подсластителями, которые вырабатываются некоторыми растениями и насекомыми."
elif data == "ants_ecosystem":
info = "Муравьи играют ключевую роль в экосистемах как разлагатели органического вещества, опылители растений и как пища для других видов животных."
await bot.edit_message_text(chat_id=callback_query.from_user.id,
message_id=callback_query.message.message_id,
text=info,
reply_markup=types.InlineKeyboardMarkup())
@dp.message_handler(user_id=OPERATORS)
async def forward_to_user(message: types.Message):
if message.text.startswith('Завершить диалог'):
await cmd_stop(message)
else:
operator_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT id, user_id FROM tickets WHERE operator_id = ? AND status = 'в обработке'", (operator_id,))
ticket_info = await cursor.fetchone()
if ticket_info:
_, user_id = ticket_info
await bot.send_message(user_id, message.text)
else:
await message.reply("В настоящее время у вас нет активных тикетов.")
@dp.message_handler(lambda message: message.text == "Задать вопрос")
async def ask_question(message: types.Message):
await QuestionState.waiting_for_question.set()
markup = ReplyKeyboardMarkup(resize_keyboard=True, selective=True).add("Закрыть вопрос")
await message.reply("Задайте свой вопрос:", reply_markup=markup)
@dp.message_handler(Text(equals='Закрыть вопрос', ignore_case=True), state='*')
async def cancel_handler(message: types.Message, state: FSMContext):
await state.finish()
user_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("""
SELECT id, operator_id, channel_message_id FROM tickets
WHERE user_id = ? AND status != 'закрыт'
ORDER BY id DESC LIMIT 1
""", (user_id,))
ticket_info = await cursor.fetchone()
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('Задать вопрос'), KeyboardButton('База знаний'))
if ticket_info:
ticket_id, operator_id, channel_message_id = ticket_info
if operator_id:
await bot.send_message(operator_id, f"Пользователь закрыл тикет \#{ticket_id}\. *Диалог завершен\.*",parse_mode="MarkdownV2")
await db.execute("UPDATE tickets SET status = 'закрыт' WHERE id = ?", (ticket_id,))
await db.commit()
if channel_message_id:
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=channel_message_id,
text=f"Пользователь закрыл тикет #{ticket_id}")
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('Задать вопрос'), KeyboardButton('База знаний'))
await message.answer("Ваш запрос был закрыт.",reply_markup=markup)
else:
await message.answer("У вас нет активных вопросов.",reply_markup=markup)
knowledge_base = [
{"keywords": ["протон", "заряд", "электричество", "протоном", "положительный","положительным", "заряда", "зарядом", "зарядами","положительными"],
"answer": "Протон – это субатомная частица, имеющая положительный электрический заряд."},
{"keywords": ["электрон", "заряд", "электричество", "протоном", "отрицательный","отрицательным", "заряда", "зарядом", "зарядами","отрицательными"],
"answer": "Электрон – это субатомная частица, имеющая отрицательный электрический заряд."},
{"keywords": ["нейтрон", "нейтральный", "заряд", "нейтрона", "нейтронами", "нейтроном", "заряда", "зарядом", "зарядами"],
"answer": "Нейтрон – это субатомная частица без электрического заряда."},
{"keywords": ["вода", "h2o", "молекула", "воды", "молекулы", "водой"],
"answer": "Вода (H2O) – это молекула, состоящая из двух атомов водорода и одного атома кислорода."},
{"keywords": ["углекислый газ", "co2", "молекула", "молекулы", "углекислый", "углекислого", "углекислым", "газ", "газом", "газами", "газа", "сектор газа", "палестина"],
"answer": "Углекислый газ (CO2) – это молекула, состоящая из одного атома углерода и двух атомов кислорода."},
{"keywords": ["озон", "o3", "молекула", "о3", "молекулы", "озоновый", "озона", "озоном", "роль", "ультрафиолет", "ультрафиолетового", "ультрафиолетовый"],
"answer": "Озон (O3) – это молекула, состоящая из трех атомов кислорода, играет важную роль в защите Земли от ультрафиолетового излучения."},
{"keywords": ["муравьи", "образ жизни", "образ", "жизни", "муравей", "муравья"],
"answer": "Муравьи – это социальные насекомые, живущие колониями. Есть рабочие муравьи, солдаты, и королева."},
{"keywords": ["питание", "муравьи", "муравей", "муравья", "питается", "ест", "жрет", "употребляет", "потребляет"],
"answer": "Муравьи могут питаться растительной пищей, другими насекомыми, а также подсластителями, которые вырабатываются некоторыми растениями и насекомыми."},
{"keywords": ["муравьи", "экосистема", "муравей", "муравья", "система", "эко", "роль", "зачем"],
"answer": "Муравьи играют ключевую роль в экосистемах как разлагатели органического вещества, опылители растений и как пища для других видов животных."},
]
def search_knowledge(query):
query_words = set(query.lower().split())
results = []
for item in knowledge_base:
if query_words & set(item["keywords"]):
results.append(item["answer"])
return results
@dp.callback_query_handler(lambda c: c.data and c.data == 'yes_call')
async def yes_call(callback_query: types.CallbackQuery):
user_id = callback_query.from_user.id
inline_kb = InlineKeyboardMarkup().add(InlineKeyboardButton('Да, позовите оператора', callback_data='handle_operator'))
await bot.send_message(user_id,"Вы уверены, что информации *нет в базе знаний* и необходим оператор?", reply_markup=inline_kb, parse_mode="MarkdownV2")
@dp.callback_query_handler(lambda c: c.data and c.data == 'handle_operator')
async def handle_operator_callback(callback_query: types.CallbackQuery):
await bot.answer_callback_query(callback_query.id)
user_id = callback_query.from_user.id
username = callback_query.from_user.username
question_text = user_questions.get(user_id, "Нужна помощь оператора")
await bot.send_message(user_id, "*Ищем вам оператора\.\.\.* Подождите, пожалуйста\.", parse_mode="MarkdownV2")
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("INSERT INTO tickets (user_id, status, question) VALUES (?, ?, ?)",
(user_id, "открыт", question_text))
ticket_id = cursor.lastrowid
await db.commit()
ticket_link = f"https://t.me/antihypesupportbot?start=ticket_{ticket_id}"
call_operator_btn = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет", url=ticket_link))
sent_message = await bot.send_message(CHANNEL_NAME,f"Пользователь @{username} ({user_id}) создал тикет #{ticket_id}:\n\n{question_text}\n\nНажмите кнопку ниже, чтобы взять тикет.",reply_markup=call_operator_btn)
async with aiosqlite.connect('users.db') as db:
await db.execute("UPDATE tickets SET channel_message_id = ? WHERE id = ?", (sent_message.message_id, ticket_id))
await db.commit()
user_questions = dict()
@dp.message_handler(state=QuestionState.waiting_for_question)
async def process_question(message: types.Message, state: FSMContext):
await state.finish()
await state.update_data(question_text=message.text)
user_id = message.from_user.id
username = message.from_user.username
question_text = message.text
user_questions[user_id] = question_text
inline_kb = InlineKeyboardMarkup().add(InlineKeyboardButton('Обратиться к оператору', callback_data='yes_call'))
results = search_knowledge(message.text.lower())
if results:
answers = "\n\n".join(results)
# Отправка результатов с ограничением для избежания слишком длинных сообщений
await message.answer(f"Вот что бот по вашему вопросу:\n\n{answers}\n\nЕсли ответ на ваш вопрос не найден, воспользуйтесь кнопкой ниже для вызова оператора.",reply_markup=inline_kb)
else:
await message.answer("Упс, не можем найти вашу проблему\. Возможно, *она есть в нашей базе знаний\.* Нажмите Обратиться к оператору, если ее там действительно нет\.",reply_markup=inline_kb,parse_mode="MarkdownV2")
await state.finish()
@dp.message_handler(lambda message: message.text.lower() == "оператор" or message.text.lower() == "обратиться к оператору" or message.text.lower() == "живой человек")
async def handle_operator_request(message: types.Message):
await message.answer("*Ищем вам оператора\.\.\.* Подождите, пожалуйста\.", parse_mode="MarkdownV2")
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("INSERT INTO tickets (user_id, status, question) VALUES (?, ?, ?)",
(message.from_user.id, "открыт", message.text))
ticket_id = cursor.lastrowid
await db.commit()
ticket_link = f"https://t.me/antihypesupportbot?start=ticket_{ticket_id}"
call_operator_btn = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет", url=ticket_link))
sent_message = await bot.send_message(CHANNEL_NAME,
f"Пользователь @{message.from_user.username} ({message.from_user.id}) создал тикет #{ticket_id}:\n\n{message.text}\n\nНажмите кнопку ниже, чтобы взять тикет.",
reply_markup=call_operator_btn)
async with aiosqlite.connect('users.db') as db:
await db.execute("UPDATE tickets SET channel_message_id = ? WHERE id = ?", (sent_message.message_id, ticket_id))
await db.commit()
@dp.callback_query_handler(lambda c: c.data and c.data.startswith('take_ticket'))
async def handle_ticket_take(callback_query: types.CallbackQuery):
user_id = str(callback_query.from_user.id)
if user_id in OPERATORS:
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT id FROM tickets WHERE status = 'открыт' ORDER BY id DESC LIMIT 1")
ticket = await cursor.fetchone()
if ticket:
ticket_id = ticket[0]
await db.execute("UPDATE tickets SET operator_id = ?, status = 'в обработке' WHERE id = ?",
(user_id, ticket_id))
await db.commit()
await bot.answer_callback_query(callback_query.id, f"Вы взяли тикет #{ticket_id}.")
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=callback_query.message.message_id,
text=f"Тикет #{ticket_id} взят оператором.",
reply_markup=None)
else:
await bot.answer_callback_query(callback_query.id, "Свободных тикетов нет.", show_alert=True)
else:
await bot.answer_callback_query(callback_query.id, "Вы не являетесь оператором.", show_alert=True)
@dp.message_handler(Text(equals='Завершить диалог', ignore_case=True), state='*')
async def cmd_stop(message: Message):
operator_id = message.from_user.id
if str(operator_id) in OPERATORS:
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("""
SELECT id, user_id, channel_message_id FROM tickets
WHERE operator_id = ? AND status = 'в обработке'
""", (operator_id,))
ticket_info = await cursor.fetchone()
if ticket_info:
ticket_id, user_id, channel_message_id = ticket_info
await db.execute("UPDATE tickets SET status = 'закрыт' WHERE id = ?", (ticket_id,))
await db.commit()
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('Задать вопрос'), KeyboardButton('База знаний'))
await bot.send_message(user_id, "*Оператор завершил этот диалог\.* Если у вас есть дополнительные вопросы, пожалуйста, обратитесь снова\.",reply_markup=markup, parse_mode="MarkdownV2")
if channel_message_id:
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=channel_message_id,
text=f"Оператор закрыл тикет #{ticket_id}")
await message.reply("Вы успешно завершили диалог.")
else:
await message.reply("У вас нет активных диалогов.")
else:
await message.reply("Вы не являетесь оператором.")
@dp.message_handler(lambda message: message.chat.type == 'private')
async def forward_to_operator(message: types.Message):
user_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute(
"SELECT operator_id FROM tickets WHERE user_id = ? AND status = 'в обработке' LIMIT 1", (user_id,))
operator_info = await cursor.fetchone()
if operator_info:
operator_id = operator_info[0]
await bot.send_message(operator_id, f"Пользователь: {message.text}")
else:
await message.reply(
"В настоящий момент ни один оператор не связан с вашим вопросом\. Пожалуйста, подождите ответа или нажмите кнопку *Задать вопрос*, если вы этого еще не сделали", parse_mode="MarkdownV2")
# не работит чето..................
async def check_last_submission(user_id: int):
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT COUNT(*), MAX(created_at) FROM tickets WHERE user_id = ?", (user_id,))
result = await cursor.fetchone()
if result[0] > 0 and result[1] is not None:
now = datetime.now(tz=pytz.timezone("UTC"))
past = datetime.strptime(result[1], '%Y-%m-%d %H:%M:%S')
if past:
past = past.replace(tzinfo=pytz.utc)
elapsed = (now - past).total_seconds()
return elapsed
return 0
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(on_startup(dp))
executor.start_polling(dp, skip_updates=True)
|
aa850a0b7895e7368352966de23f9a85
|
{
"intermediate": 0.20678821206092834,
"beginner": 0.6904950141906738,
"expert": 0.10271670669317245
}
|
44,543
|
Привет! Давай реализуем в моем боте "таймаут" для вызова оператора на 60 секунд, если пользователь вызывал его менее чем 60 секунд назад. Вот код бота: from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.types import ReplyKeyboardMarkup, KeyboardButton
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.dispatcher.filters import Text
from aiogram.types import Message
from aiogram import executor
from aiogram.types import InlineKeyboardMarkup, ReplyKeyboardMarkup, KeyboardButton, ReplyKeyboardRemove, InlineKeyboardButton
import aiosqlite
import pytz
from datetime import datetime
import asyncio
API_TOKEN = '7070823778:AAH9yYNf99tOtSxYfKAueqvlS_Km9VMI-h0'
OPERATORS = ['989037374']
CHANNEL_NAME = '-1002007209581'
bot = Bot(token=API_TOKEN)
storage = MemoryStorage()
dp = Dispatcher(bot, storage=storage)
class Form(StatesGroup):
waiting_for_question = State()
class QuestionState(StatesGroup):
waiting_for_question = State()
async def on_startup(dp):
async with aiosqlite.connect('users.db') as db:
await db.execute("""
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY,
username TEXT,
is_operator BOOLEAN
)
""")
await db.execute("""
CREATE TABLE IF NOT EXISTS tickets (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER,
operator_id INTEGER,
status TEXT,
question TEXT,
channel_message_id INTEGER,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
await db.commit()
for operator_id in OPERATORS:
await db.execute("INSERT OR IGNORE INTO users (id, is_operator) VALUES (?, ?)",
(operator_id, True))
await db.commit()
@dp.message_handler(commands=['start'])
async def cmd_start(message: types.Message):
args = message.get_args()
if args.startswith('ticket_'):
ticket_id = args.split('_')[1]
user_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT is_operator FROM users WHERE id = ?", (user_id,))
is_operator = await cursor.fetchone()
if is_operator and is_operator[0]:
confirm_button = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет", callback_data=f"confirm_take_{ticket_id}"))
await message.answer(f"Вы уверены, что хотите взять тикет #{ticket_id}?", reply_markup=confirm_button)
else:
await message.answer("Извините, эта функция доступна только операторам.")
elif str(message.from_user.id) not in OPERATORS:
await send_welcome(message)
else:
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('Завершить диалог'))
await message.answer("*Вы являетесь оператором\.* Пожалуйста, перейдите в канал для приема тикетов\.\n\nhttps://t\.me/\+7X4aYo5LQLxmNTYy", reply_markup=markup,parse_mode="MarkdownV2")
async def send_welcome(message: types.Message):
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('❓ Задать вопрос'), KeyboardButton('📚 База знаний'))
await message.answer("Привет! Я бот техподдержки. Чем могу помочь?", reply_markup=markup)
@dp.callback_query_handler(lambda c: c.data and c.data.startswith('confirm_take'))
async def handle_confirm_take(callback_query: types.CallbackQuery):
ticket_id = callback_query.data.split('_')[2]
operator_id = callback_query.from_user.id
async with aiosqlite.connect('users.db') as db:
await db.execute("UPDATE tickets SET operator_id = ?, status = 'в обработке' WHERE id = ?", (operator_id, ticket_id))
await db.commit()
cursor = await db.execute("SELECT user_id, channel_message_id FROM tickets WHERE id = ?", (ticket_id,))
user_id, channel_message_id = await cursor.fetchone()
if user_id:
await bot.send_message(user_id, "Оператор найден и уже рассматривает вашу проблему. Пожалуйста, подождите.")
if channel_message_id:
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=channel_message_id, text=f"Тикет #{ticket_id} взят оператором", reply_markup=None)
await callback_query.message.edit_text(f"Вы взяли тикет \#{ticket_id}\. Теперь можно общаться с пользователем\.\n\nДля завершения диалога используйте кнопку *Завершить диалог*", reply_markup=None,parse_mode="MarkdownV2")
@dp.message_handler(lambda message: message.text == "📚 База знаний")
async def show_knowledge_base_categories(message: types.Message):
markup = types.InlineKeyboardMarkup(row_width=2)
markup.add(types.InlineKeyboardButton(text="⚛️ Атомы", callback_data="category_atoms"),
types.InlineKeyboardButton(text="👦 Молекулы", callback_data="category_molecules"),
types.InlineKeyboardButton(text="🐜 Муравьи", callback_data="category_ants"))
await message.answer("Выберите категорию:", reply_markup=markup)
user_last_choice = {}
@dp.callback_query_handler(lambda c: c.data.startswith('category_'))
async def show_subcategories(callback_query: types.CallbackQuery):
action = callback_query.data.split('_')[1]
user_last_choice[callback_query.from_user.id] = callback_query.data
markup = types.InlineKeyboardMarkup(row_width=1)
if action == "atoms":
markup.add(types.InlineKeyboardButton(text="Протоны", callback_data="atoms_protons"),
types.InlineKeyboardButton(text="Электроны", callback_data="atoms_electrons"),
types.InlineKeyboardButton(text="Нейтроны", callback_data="atoms_neutrons"))
text = "⚛️ Атомы: выберите интересующую тему"
elif action == "molecules":
markup.add(types.InlineKeyboardButton(text="Вода H2O", callback_data="molecules_water"),
types.InlineKeyboardButton(text="Углекислый газ CO2", callback_data="molecules_co2"),
types.InlineKeyboardButton(text="Озон O3", callback_data="molecules_o3"))
text = "👦 Молекулы: выберите интересующую тему"
elif action == "ants":
markup.add(types.InlineKeyboardButton(text="Образ жизни муравьев", callback_data="ants_lifestyle"),
types.InlineKeyboardButton(text="Питание муравьев", callback_data="ants_food"),
types.InlineKeyboardButton(text="Муравьи и экосистема", callback_data="ants_ecosystem"))
text = "🐜 Муравьи: выберите интересующую тему"
markup.add(types.InlineKeyboardButton(text="🔙 Назад", callback_data ="go_back_to_categories"))
await bot.edit_message_text(text=text, chat_id=callback_query.from_user.id,
message_id=callback_query.message.message_id,
reply_markup=markup)
@dp.callback_query_handler(lambda c: c.data == 'go_back_to_categories')
async def go_back_to_categories(callback_query: types.CallbackQuery):
await show_knowledge_base_categories(callback_query.message)
@dp.callback_query_handler(lambda c: c.data.startswith('atoms_') or
c.data.startswith('molecules_') or
c.data.startswith('ants_'))
async def show_information(callback_query: types.CallbackQuery):
data = callback_query.data
info = "Информация не найдена."
if data == "atoms_protons":
info = "Протон – это субатомная частица, имеющая положительный электрический заряд."
elif data == "atoms_electrons":
info = "Электрон – это субатомная частица, имеющая отрицательный электрический заряд."
elif data == "atoms_neutrons":
info = "Нейтрон – это субатомная частица без электрического заряда."
elif data == "molecules_water":
info = "Вода (H2O) – это молекула, состоящая из двух атомов водорода и одного атома кислорода."
elif data == "molecules_co2":
info = "Углекислый газ (CO2) – это молекула, состоящая из одного атома углерода и двух атомов кислорода."
elif data == "molecules_o3":
info = "Озон (O3) – это молекула, состоящая из трех атомов кислорода, играет важную роль в защите Земли от ультрафиолетового излучения."
elif data == "ants_lifestyle":
info = "Муравьи – это социальные насекомые, живущие колониями. Есть рабочие муравьи, солдаты, и королева."
elif data == "ants_food":
info = "Муравьи могут питаться растительной пищей, другими насекомыми, а также подсластителями, которые вырабатываются некоторыми растениями и насекомыми."
elif data == "ants_ecosystem":
info = "Муравьи играют ключевую роль в экосистемах как разлагатели органического вещества, опылители растений и как пища для других видов животных."
await bot.edit_message_text(chat_id=callback_query.from_user.id,
message_id=callback_query.message.message_id,
text=info,
reply_markup=types.InlineKeyboardMarkup())
@dp.message_handler(user_id=OPERATORS)
async def forward_to_user(message: types.Message):
if message.text.startswith('Завершить диалог'):
await cmd_stop(message)
else:
operator_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT id, user_id FROM tickets WHERE operator_id = ? AND status = 'в обработке'", (operator_id,))
ticket_info = await cursor.fetchone()
if ticket_info:
_, user_id = ticket_info
await bot.send_message(user_id, message.text)
else:
await message.reply("В настоящее время у вас нет активных тикетов.")
@dp.message_handler(lambda message: message.text == "❓ Задать вопрос")
async def ask_question(message: types.Message):
await QuestionState.waiting_for_question.set()
markup = ReplyKeyboardMarkup(resize_keyboard=True, selective=True).add("❌ Закрыть вопрос")
await message.reply("Прежде чем задавать вопрос, рекомендуем поискать ответ на него в нашей *Базе знаний*\. Чтобы вернуться к ней, нажмите *❌ Закрыть вопрос*\.\n\n Если ответ там не был найден, задайте его здесь:", reply_markup=markup, parse_mode="MarkdownV2")
@dp.message_handler(Text(equals='❌ Закрыть вопрос', ignore_case=True), state='*')
async def cancel_handler(message: types.Message, state: FSMContext):
await state.finish()
user_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("""
SELECT id, operator_id, channel_message_id FROM tickets
WHERE user_id = ? AND status != 'закрыт'
ORDER BY id DESC LIMIT 1
""", (user_id,))
ticket_info = await cursor.fetchone()
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('❓ Задать вопрос'), KeyboardButton('📚 База знаний'))
if ticket_info:
ticket_id, operator_id, channel_message_id = ticket_info
if operator_id:
await bot.send_message(operator_id, f"Пользователь закрыл тикет \#{ticket_id}\. *Диалог завершен\.*",parse_mode="MarkdownV2")
await db.execute("UPDATE tickets SET status = 'закрыт' WHERE id = ?", (ticket_id,))
await db.commit()
if channel_message_id:
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=channel_message_id,
text=f"Пользователь закрыл тикет #{ticket_id}")
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('❓ Задать вопрос'), KeyboardButton('📚 База знаний'))
await message.answer("Ваш запрос был закрыт.",reply_markup=markup)
else:
await message.answer("У вас нет активных вопросов.",reply_markup=markup)
knowledge_base = [
{"keywords": ["протон", "заряд", "электричество", "протоном", "положительный","положительным", "заряда", "зарядом", "зарядами","положительными"],
"answer": "Протон – это субатомная частица, имеющая положительный электрический заряд."},
{"keywords": ["электрон", "заряд", "электричество", "протоном", "отрицательный","отрицательным", "заряда", "зарядом", "зарядами","отрицательными"],
"answer": "Электрон – это субатомная частица, имеющая отрицательный электрический заряд."},
{"keywords": ["нейтрон", "нейтральный", "заряд", "нейтрона", "нейтронами", "нейтроном", "заряда", "зарядом", "зарядами"],
"answer": "Нейтрон – это субатомная частица без электрического заряда."},
{"keywords": ["вода", "h2o", "молекула", "воды", "молекулы", "водой"],
"answer": "Вода (H2O) – это молекула, состоящая из двух атомов водорода и одного атома кислорода."},
{"keywords": ["углекислый газ", "co2", "молекула", "молекулы", "углекислый", "углекислого", "углекислым", "газ", "газом", "газами", "газа", "сектор газа", "палестина"],
"answer": "Углекислый газ (CO2) – это молекула, состоящая из одного атома углерода и двух атомов кислорода."},
{"keywords": ["озон", "o3", "молекула", "о3", "молекулы", "озоновый", "озона", "озоном", "роль", "ультрафиолет", "ультрафиолетового", "ультрафиолетовый"],
"answer": "Озон (O3) – это молекула, состоящая из трех атомов кислорода, играет важную роль в защите Земли от ультрафиолетового излучения."},
{"keywords": ["муравьи", "образ жизни", "образ", "жизни", "муравей", "муравья"],
"answer": "Муравьи – это социальные насекомые, живущие колониями. Есть рабочие муравьи, солдаты, и королева."},
{"keywords": ["питание", "муравьи", "муравей", "муравья", "питается", "ест", "жрет", "употребляет", "потребляет"],
"answer": "Муравьи могут питаться растительной пищей, другими насекомыми, а также подсластителями, которые вырабатываются некоторыми растениями и насекомыми."},
{"keywords": ["муравьи", "экосистема", "муравей", "муравья", "система", "эко", "роль", "зачем"],
"answer": "Муравьи играют ключевую роль в экосистемах как разлагатели органического вещества, опылители растений и как пища для других видов животных."},
]
def search_knowledge(query):
query_words = set(query.lower().split())
results = []
for item in knowledge_base:
if query_words & set(item["keywords"]):
results.append(item["answer"])
return results
@dp.callback_query_handler(lambda c: c.data and c.data == 'yes_call')
async def yes_call(callback_query: types.CallbackQuery):
user_id = callback_query.from_user.id
inline_kb = InlineKeyboardMarkup().add(InlineKeyboardButton('Да, позовите оператора', callback_data='handle_operator'))
await bot.send_message(user_id,"Вы уверены, что информации *нет в базе знаний* и необходим оператор?\nЕсли вы не уверены, пожалуйста, нажмите *❌ Закрыть вопрос* и проверьте наличие нужной вам информации в базе знаний\.", reply_markup=inline_kb, parse_mode="MarkdownV2")
@dp.callback_query_handler(lambda c: c.data and c.data == 'handle_operator')
async def handle_operator_callback(callback_query: types.CallbackQuery):
await bot.answer_callback_query(callback_query.id)
user_id = callback_query.from_user.id
username = callback_query.from_user.username
question_text = user_questions.get(user_id, "Нужна помощь оператора")
await bot.send_message(user_id, "*Ищем вам оператора\.\.\.* Подождите, пожалуйста\.", parse_mode="MarkdownV2")
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("INSERT INTO tickets (user_id, status, question) VALUES (?, ?, ?)",
(user_id, "открыт", question_text))
ticket_id = cursor.lastrowid
await db.commit()
ticket_link = f"https://t.me/antihypesupportbot?start=ticket_{ticket_id}"
call_operator_btn = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет", url=ticket_link))
sent_message = await bot.send_message(CHANNEL_NAME,f"Пользователь @{username} ({user_id}) создал тикет #{ticket_id}:\n\n{question_text}\n\nНажмите кнопку ниже, чтобы взять тикет.",reply_markup=call_operator_btn)
async with aiosqlite.connect('users.db') as db:
await db.execute("UPDATE tickets SET channel_message_id = ? WHERE id = ?", (sent_message.message_id, ticket_id))
await db.commit()
user_questions = dict()
@dp.message_handler(state=QuestionState.waiting_for_question)
async def process_question(message: types.Message, state: FSMContext):
await state.finish()
await state.update_data(question_text=message.text)
user_id = message.from_user.id
username = message.from_user.username
question_text = message.text
user_questions[user_id] = question_text
inline_kb = InlineKeyboardMarkup().add(InlineKeyboardButton('🧑💻 Обратиться к оператору', callback_data='yes_call'))
results = search_knowledge(message.text.lower())
if results:
answers = "\n\n".join(results)
# Отправка результатов с ограничением для избежания слишком длинных сообщений
await message.answer(f"Вот что бот по вашему вопросу:\n\n{answers}\n\nЕсли ответ на ваш вопрос не найден, воспользуйтесь кнопкой ниже для вызова оператора.",reply_markup=inline_kb)
else:
await message.answer("🤕 Упс, не можем найти вашу проблему\. Возможно, *она есть в нашей базе знаний\.* Нажмите Обратиться к оператору, если ее там действительно нет\.",reply_markup=inline_kb,parse_mode="MarkdownV2")
await state.finish()
@dp.message_handler(lambda message: message.text.lower() == "оператор" or message.text.lower() == "обратиться к оператору" or message.text.lower() == "живой человек")
async def handle_operator_request(message: types.Message):
await message.answer("*Ищем вам оператора\.\.\.* Подождите, пожалуйста\.", parse_mode="MarkdownV2")
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("INSERT INTO tickets (user_id, status, question) VALUES (?, ?, ?)",
(message.from_user.id, "открыт", message.text))
ticket_id = cursor.lastrowid
await db.commit()
ticket_link = f"https://t.me/antihypesupportbot?start=ticket_{ticket_id}"
call_operator_btn = InlineKeyboardMarkup().add(InlineKeyboardButton("Взять тикет", url=ticket_link))
sent_message = await bot.send_message(CHANNEL_NAME,
f"Пользователь @{message.from_user.username} ({message.from_user.id}) создал тикет #{ticket_id}:\n\n{message.text}\n\nНажмите кнопку ниже, чтобы взять тикет.",
reply_markup=call_operator_btn)
async with aiosqlite.connect('users.db') as db:
await db.execute("UPDATE tickets SET channel_message_id = ? WHERE id = ?", (sent_message.message_id, ticket_id))
await db.commit()
@dp.callback_query_handler(lambda c: c.data and c.data.startswith('take_ticket'))
async def handle_ticket_take(callback_query: types.CallbackQuery):
user_id = str(callback_query.from_user.id)
if user_id in OPERATORS:
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT id FROM tickets WHERE status = 'открыт' ORDER BY id DESC LIMIT 1")
ticket = await cursor.fetchone()
if ticket:
ticket_id = ticket[0]
await db.execute("UPDATE tickets SET operator_id = ?, status = 'в обработке' WHERE id = ?",
(user_id, ticket_id))
await db.commit()
await bot.answer_callback_query(callback_query.id, f"Вы взяли тикет #{ticket_id}.")
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=callback_query.message.message_id,
text=f"Тикет #{ticket_id} взят оператором.",
reply_markup=None)
else:
await bot.answer_callback_query(callback_query.id, "Свободных тикетов нет.", show_alert=True)
else:
await bot.answer_callback_query(callback_query.id, "Вы не являетесь оператором.", show_alert=True)
@dp.message_handler(Text(equals='Завершить диалог', ignore_case=True), state='*')
async def cmd_stop(message: Message):
operator_id = message.from_user.id
if str(operator_id) in OPERATORS:
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("""
SELECT id, user_id, channel_message_id FROM tickets
WHERE operator_id = ? AND status = 'в обработке'
""", (operator_id,))
ticket_info = await cursor.fetchone()
if ticket_info:
ticket_id, user_id, channel_message_id = ticket_info
await db.execute("UPDATE tickets SET status = 'закрыт' WHERE id = ?", (ticket_id,))
await db.commit()
markup = ReplyKeyboardMarkup(resize_keyboard=True)
markup.add(KeyboardButton('❓ Задать вопрос'), KeyboardButton('📚 База знаний'))
await bot.send_message(user_id, "*Оператор завершил этот диалог\.* Если у вас есть дополнительные вопросы, пожалуйста, обратитесь снова\.",reply_markup=markup, parse_mode="MarkdownV2")
if channel_message_id:
await bot.edit_message_text(chat_id=CHANNEL_NAME, message_id=channel_message_id,
text=f"Оператор закрыл тикет #{ticket_id}")
await message.reply("Вы успешно завершили диалог.")
else:
await message.reply("У вас нет активных диалогов.")
else:
await message.reply("Вы не являетесь оператором.")
@dp.message_handler(lambda message: message.chat.type == 'private')
async def forward_to_operator(message: types.Message):
user_id = message.from_user.id
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute(
"SELECT operator_id FROM tickets WHERE user_id = ? AND status = 'в обработке' LIMIT 1", (user_id,))
operator_info = await cursor.fetchone()
if operator_info:
operator_id = operator_info[0]
await bot.send_message(operator_id, f"Пользователь: {message.text}")
else:
await message.reply(
"В настоящий момент ни один оператор не связан с вашим вопросом\. Пожалуйста, подождите ответа или нажмите кнопку *❓ Задать вопрос*, если вы этого еще не сделали", parse_mode="MarkdownV2")
# не работит чето..................
async def check_last_submission(user_id: int):
async with aiosqlite.connect('users.db') as db:
cursor = await db.execute("SELECT COUNT(*), MAX(created_at) FROM tickets WHERE user_id = ?", (user_id,))
result = await cursor.fetchone()
if result[0] > 0 and result[1] is not None:
now = datetime.now(tz=pytz.timezone("UTC"))
past = datetime.strptime(result[1], '%Y-%m-%d %H:%M:%S')
if past:
past = past.replace(tzinfo=pytz.utc)
elapsed = (now - past).total_seconds()
return elapsed
return 0
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(on_startup(dp))
executor.start_polling(dp, skip_updates=True)
|
113e6a175261e462639412fbcdbdca77
|
{
"intermediate": 0.33905693888664246,
"beginner": 0.56854248046875,
"expert": 0.09240062534809113
}
|
44,544
|
hi there
|
7dc70e98c588c93bb6532f665694d9de
|
{
"intermediate": 0.32885003089904785,
"beginner": 0.24785484373569489,
"expert": 0.42329514026641846
}
|
44,545
|
1
|
e5e917117e3f9af75675f93c49002739
|
{
"intermediate": 0.3205237090587616,
"beginner": 0.295337438583374,
"expert": 0.38413888216018677
}
|
44,546
|
can you verify the below code:
def train_batch(self, current_epoch):
self.model.train()
total_loss = 0.0
start_time = time.time()
for batch_idx in range(0, len(self.train_data) - 1, self.batch_size):
data, targets = self.dataset.get_batch(self.train_data, batch_idx, self.batch_size)
data, targets = data.to(self.device), targets.to(self.device)
self.optimizer.zero_grad()
output = self.model(data)
loss = self.criterion(output, targets)
loss.backward()
torch.nn.utils.clip_grad_norm_(self.model.parameters(), 0.7)
self.optimizer.step()
total_loss += loss.item()
elapsed = time.time() - start_time
cur_loss = loss.item() # loss step by step
# Calculate, log and return loss for entire step
print(f"| batch {batch_idx:5d}/{len(self.train_data) // self.batch_size:5d}"
f"| lr {self.scheduler.get_last_lr()[0]:02.6f}| "
f"| loss {cur_loss:5.5f} | ppl {math.exp(cur_loss):8.2f}")
wandb.log({"step": batch_idx,
"lr": self.scheduler.get_last_lr()[0],
"elapsed_time_per_step(seconds)": elapsed * 1000,
"loss": cur_loss,
"perplexity": math.exp(cur_loss) # Perplexity
})
# Calculate, log and return average loss for entire epoch
avg_train_loss = total_loss / (len(self.train_data) // self.batch_size)
wandb.log({"epoch": current_epoch,
"avg_loss": avg_train_loss,
"elapsed_time_per_batch(secods)": (time.time()-start_time) * 1000})
print(f"Epoch: {current_epoch}, Average Loss: {avg_train_loss:.5f}")
return avg_train_loss
|
07cfb041d6bb803343b1f9eebf171f24
|
{
"intermediate": 0.26014137268066406,
"beginner": 0.5156725645065308,
"expert": 0.22418607771396637
}
|
44,547
|
i have some csv files
in all of them first column is "Date" column
for each column excluding "Date" , i want to calculate percent of change of each rows value of that column, from previous row value of that column , and add as column "column name_pc"
give me proper python code
|
e715c302f18f8da83530df0a1a2f920e
|
{
"intermediate": 0.4637499749660492,
"beginner": 0.33494463562965393,
"expert": 0.20130543410778046
}
|
44,548
|
from PIL import Image, ImageDraw, ImageFont
def text_to_image(text, image_path, font_path, font_size, text_color=(0, 0, 0)):
try:
# Open the image
image = Image.open(image_path)
draw = ImageDraw.Draw(image)
# Load font
font = ImageFont.truetype(font_path, font_size)
# Calculate text size and position
text_width, text_height = draw.textsize(text, font=font)
text_x = (image.width - text_width) // 2
text_y = (image.height - text_height) // 2
# Draw text on image
draw.text((text_x, text_y), text, fill=text_color, font=font)
# Save the image with text
image.save("output_image.png")
except Exception as e:
print(f"Error: {e}")
text = "مرحبا بك!"
image_path = ".trashed-1714253455-luffy no face.jpg" # Specify the path to the original image
font_path = "ArbFONTS-ae_Sharjah.ttf" # Specify the path to the font
font_size = 36 # Font size
text_to_image(text, image_path, font_path, font_size)
صحح الأخطاء حسب المشروع
|
d815e9fb6fbe45e35582458435c5c7c7
|
{
"intermediate": 0.47143590450286865,
"beginner": 0.2131715565919876,
"expert": 0.31539249420166016
}
|
44,549
|
Does flask have a strat up init function?
|
de3c5038db9409ca890fb8b2fe9ddb7e
|
{
"intermediate": 0.40047213435173035,
"beginner": 0.2520493268966675,
"expert": 0.34747859835624695
}
|
44,550
|
AS A WEBSITE DEVLOPER EXPERT GENERATE A CODE FOR A WEBSITE STREAMING USE A DARK THEME AND A PERFECT FONT THE WEBSITE MUST BE SIMYLAR TO NETFLIX
|
dd1ea44d362a9b352e36e2518a299e02
|
{
"intermediate": 0.30835989117622375,
"beginner": 0.1574818640947342,
"expert": 0.5341582298278809
}
|
44,551
|
const pickerOptions: DatePickerOptions = {
firstDayOfWeek: 1,
disabledDate(date: Date) {
const today = new Date()
today.setHours(0, 0, 0, 0)
return date < today || date > new Date(today.getTime() + 29 * 24 * 3600 * 1000)
}
}
что не так?
|
d73b3c1ba8215e6b854202a7d07dbb80
|
{
"intermediate": 0.37223494052886963,
"beginner": 0.385929673910141,
"expert": 0.2418353110551834
}
|
44,552
|
round number to nearest 0.25 lau 5.1 script
|
f6dcaad097770417e19840ef9acef4ed
|
{
"intermediate": 0.2954750955104828,
"beginner": 0.40642252564430237,
"expert": 0.29810231924057007
}
|
44,553
|
Write an example lua script
|
4bc5e26c5da87230de29461afc84fec0
|
{
"intermediate": 0.44038277864456177,
"beginner": 0.30904537439346313,
"expert": 0.2505718469619751
}
|
44,554
|
i have bunch of csv files
each file has column named "T10YIE"
i want to delete T10YIE column and every column after that
give me proper python code
|
5a4f1aea91b43ce9963e30476307e54e
|
{
"intermediate": 0.42445236444473267,
"beginner": 0.31501173973083496,
"expert": 0.26053592562675476
}
|
44,555
|
#include <fstream>
#include <vector>
#include <iostream>
#include <stdlib.h>
#include <chrono>
#include <thread>
#include <Windows.h>
#include <string>
using namespace std;
void openW(string url) { // import string url then pass command in prompt window to start chrome
string command = "start chrome.exe " + url;
system(command.c_str());
}
void openWM(string url) {
string command3 = "start /min chrome.exe " + url;
system(command3.c_str());
}
void startVid() {
this_thread::sleep_for(std::chrono::seconds(2));
INPUT input[2];
input[0].type = INPUT_KEYBOARD;
input[0].ki.wVk = VK_SPACE;
input[0].ki.dwFlags = 0;
input[1].type = INPUT_KEYBOARD;
input[1].ki.wVk = VK_SPACE;
input[1].ki.dwFlags = KEYEVENTF_KEYUP;
SendInput(2, input, sizeof(INPUT));
}
void closeW() { // pass command to prompt to kill chrome
system("taskkill /F /IM chrome.exe");
}
int main() {
string url, ipPath;
int min, max, loop;
char startV, shortW;
cout << "Rentre le lien face de cul " << endl;
cin >> url;
cout << "Rentre le temps minimum " << endl;
cin >> min;
cout << "Rentre le temps maximum " << endl;
cin >> max;
cout << "From " << min << " to " << max << " selected." << endl;
cout << "Sont ou tes ip le cave? " << endl;
cin >> ipPath;
cout << "Combien de vue tu veut?" << endl;
cin >> loop;
cout << "Fait juste faire oui? " << endl << endl << "Note that this will send the keyStroke (SPACE BAR) to the window to start the video" << endl << " y/n ";
cin >> startV;
cout << "Vx tu voir la fenetre ou pas ? si tu vx pas la voir fait oui " << endl << endl << "Note that this may only work if the window is not minimized." << endl << " y/n ";
cin >> shortW;
cout << endl << endl;
vector<string> IPs;
ifstream file(ipPath);
if (file.is_open()) {
string ip;
while (getline(file, ip)) {
IPs.push_back(ip);
}
file.close();
}
else {
cout << "Unable to open file at specified path." << endl;
return 0;
}
for (int i = 0; i < loop; i++) {
if (IPs.empty()) {
cout << "No more IPs" << endl;
break;
}
string newIP = IPs.back();
IPs.pop_back(); // this will change the internet settings interface used ip from list mask gateway ---- You can chage whatever you want here
string command = "netsh interface ipv4 set address name=\"Interface Area Connection\" source=static " + newIP + " 255.255.255.0 192.168.1.1";
system(command.c_str()); // just remember line 92 is to reset your settings back to original, be sure to run program all the way through or you will have to manually reset
if (startV == 'y') { // your internet settings, if you have to manually reset use commands in line 92 to do so
startVid();
}
if (shortW == 'y') {
openWM(url);
int random = rand() % (max - min + 1) + min;
std::this_thread::sleep_for(std::chrono::seconds(random));
closeW();
}
if(shortW == 'n') {
openW(url);
int random = rand() % (max - min + 1) + min;
std::this_thread::sleep_for(std::chrono::seconds(random));
closeW();
}
}
// resets your original settings place original interface original IP, Mask Gateway
string command2 = "netsh interface ipv4 set address name=\"Interface Area Connection\" source=static 'Original IP' 255.255.255.0 192.168.1.1";
system(command2.c_str()); // if you were using DHCP and want that back on use command "netsh interface ipv4 set address name=\"Local Area Connection\" source=dhcp"
return main();
I want to use adresse:port format insted of only adresse.
|
91465dc3e3a2a5b7c14ef3a165c96d5d
|
{
"intermediate": 0.3870350122451782,
"beginner": 0.39666298031806946,
"expert": 0.2163020372390747
}
|
44,556
|
hey
|
db6b4f638e39b137c41b072ccec66d73
|
{
"intermediate": 0.33180856704711914,
"beginner": 0.2916048467159271,
"expert": 0.3765866458415985
}
|
44,557
|
Here is my lookat function:
Vector3d forward = VectorUtils.normalize(new Vector3d(cameraPos.getX() - targetPos.getX(), cameraPos.getY() - targetPos.getY(), cameraPos.getZ() - targetPos.getZ()));
Vector3d left = VectorUtils.cross(new Vector3d(0, 1, 0), forward);
Vector3d up = VectorUtils.cross(forward, left);
Matrix3D result = Matrix3D.identity();
result.elements[0 + 0 * 4] = left.getX();
result.elements[0 + 1 * 4] = left.getY();
result.elements[0 + 2 * 4] = left.getZ();
result.elements[1 + 0 * 4] = up.getX();
result.elements[1 + 1 * 4] = up.getY();
result.elements[1 + 2 * 4] = up.getZ();
result.elements[2 + 0 * 4] = forward.getX();
result.elements[2 + 1 * 4] = forward.getY();
result.elements[2 + 2 * 4] = forward.getZ();
result.elements[0 + 3 * 4] = -left.getX() * cameraPos.getX() - left.getY() * cameraPos.getY() - left.getZ() * cameraPos.getZ();
result.elements[1 + 3 * 4] = -up.getX() * cameraPos.getX() - up.getY() * cameraPos.getY() - up.getZ() * cameraPos.getZ();
result.elements[2 + 3 * 4] = -forward.getX() * cameraPos.getX() - forward.getY() * cameraPos.getY() - forward.getZ() * cameraPos.getZ();
result.elements[3 + 3 * 4] = 1;
return result;
The problem is, this returns a matrix. I just want the vector3d that will tell me what rotation is required. What part of this function gives me that
|
21ebe1244d0d60f94cd15c036f713e57
|
{
"intermediate": 0.4549309313297272,
"beginner": 0.27071723341941833,
"expert": 0.2743518054485321
}
|
44,558
|
#include <Trade\Trade.mqh>
input int MagicNumber = 10001;
input double Lots = 0.1;
input int StartHour = 0; // ساعت شروع معاملات
input int EndHour = 24; // ساعت پایان معاملات
// اینپوتهای بولین برای روزهای هفته
input bool TradeOnSunday = true;
input bool TradeOnMonday = true;
input bool TradeOnTuesday = true;
input bool TradeOnWednesday = true;
input bool TradeOnThursday = true;
input bool TradeOnFriday = false;
input bool TradeOnSaturday = false;
int LastCandleIndex = -1; // شماره آخرین کندلی که در آن معاملهای باز شده است
void OnTick() {
CTrade trade;
trade.SetExpertMagicNumber(MagicNumber);
double Ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK);
double Bid = SymbolInfoDouble(_Symbol, SYMBOL_BID);
MqlDateTime TimeNow;
TimeCurrent(TimeNow);
// بررسی روز هفته برای معامله
if (!IsTradeDay(TimeNow.day_of_week) || TimeNow.hour < StartHour || TimeNow.hour > EndHour)
return; // اگر امروز روز معاملاتی نیست یا خارج از بازه زمانی است، از ادامه کد صرف نظر میکنیم
int CurrentCandleIndex = iBars(_Symbol, PERIOD_CURRENT);
double PreviousHigh = iHigh(_Symbol, PERIOD_CURRENT, 1);
double PreviousLow = iLow(_Symbol, PERIOD_CURRENT, 1);
double CandleSize = PreviousHigh - PreviousLow;
if (CurrentCandleIndex != LastCandleIndex && iHigh(_Symbol, PERIOD_CURRENT, 0) > PreviousHigh) {
double TheStopLoss = PreviousLow - 10 * _Point;
double TheTakeProfit = Ask + CandleSize;
trade.PositionOpen(_Symbol, ORDER_TYPE_BUY, Lots, Ask, TheStopLoss, TheTakeProfit);
LastCandleIndex = CurrentCandleIndex;
}
}
// تابع بررسی روز معاملاتی بر اساس اینپوتها
bool IsTradeDay(int dayOfWeek) {
switch(dayOfWeek) {
case 0: return TradeOnSunday;
case 1: return TradeOnMonday;
case 2: return TradeOnTuesday;
case 3: return TradeOnWednesday;
case 4: return TradeOnThursday;
case 5: return TradeOnFriday;
case 6: return TradeOnSaturday;
default: return false;
}
}
میخواهم زمانیکه حد ضرر یا استاپ لاس میخورد ، معامله ریورس شود یعنی معامله فروش با همان قوانین تی پی و استاپ باز شود
کد اصلاح کن و کامل بنویس
|
848b2d13137b57e9bf5c488f6e282cbb
|
{
"intermediate": 0.2954309284687042,
"beginner": 0.44760003685951233,
"expert": 0.25696900486946106
}
|
44,559
|
In Selenium 4, I want to create a custom element which can also work with PageFactory. I need this to create additional features on top of WebElement. What all classes do I need to create to make this happen?
|
315a2ecee52cb495c531573c1435a9f0
|
{
"intermediate": 0.5350874066352844,
"beginner": 0.3934062719345093,
"expert": 0.0715063288807869
}
|
44,560
|
#include <Trade\Trade.mqh>
input int MagicNumber = 10001;
input double Lots = 0.1;
input int StartHour = 0; // ساعت شروع معاملات
input int EndHour = 24; // ساعت پایان معاملات
// اینپوتهای بولین برای روزهای هفته
input bool TradeOnSunday = true;
input bool TradeOnMonday = true;
input bool TradeOnTuesday = true;
input bool TradeOnWednesday = true;
input bool TradeOnThursday = true;
input bool TradeOnFriday = false;
input bool TradeOnSaturday = false;
int LastCandleIndex = -1; // شماره آخرین کندلی که در آن معاملهای باز شده است
void OnTick() {
CTrade trade;
trade.SetExpertMagicNumber(MagicNumber);
double Ask = SymbolInfoDouble(_Symbol, SYMBOL_ASK);
double Bid = SymbolInfoDouble(_Symbol, SYMBOL_BID);
MqlDateTime TimeNow;
TimeCurrent(TimeNow);
// بررسی روز هفته برای معامله
if (!IsTradeDay(TimeNow.day_of_week) || TimeNow.hour < StartHour || TimeNow.hour > EndHour)
return; // اگر امروز روز معاملاتی نیست یا خارج از بازه زمانی است، از ادامه کد صرف نظر میکنیم
int CurrentCandleIndex = iBars(_Symbol, PERIOD_CURRENT);
double PreviousHigh = iHigh(_Symbol, PERIOD_CURRENT, 1);
double PreviousLow = iLow(_Symbol, PERIOD_CURRENT, 1);
double CandleSize = PreviousHigh - PreviousLow;
if (CurrentCandleIndex != LastCandleIndex && iHigh(_Symbol, PERIOD_CURRENT, 0) > PreviousHigh) {
double TheStopLoss = PreviousLow - 10 * _Point;
double TheTakeProfit = Ask + CandleSize;
trade.PositionOpen(_Symbol, ORDER_TYPE_BUY, Lots, Ask, TheStopLoss, TheTakeProfit);
LastCandleIndex = CurrentCandleIndex;
}
}
// تابع بررسی روز معاملاتی بر اساس اینپوتها
bool IsTradeDay(int dayOfWeek) {
switch(dayOfWeek) {
case 0: return TradeOnSunday;
case 1: return TradeOnMonday;
case 2: return TradeOnTuesday;
case 3: return TradeOnWednesday;
case 4: return TradeOnThursday;
case 5: return TradeOnFriday;
case 6: return TradeOnSaturday;
default: return false;
}
}
در این کد فقط معاملات خرید انجام میشود
میخواهم معاملات فروش هم انجام شود
کد اصلاح کن و کامل بنویس
|
6c3e7601c3eb24536335434170fd604f
|
{
"intermediate": 0.30464866757392883,
"beginner": 0.4502922296524048,
"expert": 0.24505913257598877
}
|
44,561
|
double PreviousClose = iClose(_Symbol, PERIOD_CURRENT, 1);
این کد چکار میکنه
|
4d0526cb9bdfbfc0db2ae9754b7ba3e4
|
{
"intermediate": 0.28929397463798523,
"beginner": 0.4572662115097046,
"expert": 0.2534398138523102
}
|
44,562
|
Create Java code for moving player by joystick and instruct me how to use it
|
7083b77de61752b619441386c8788074
|
{
"intermediate": 0.5476546287536621,
"beginner": 0.23816604912281036,
"expert": 0.21417935192584991
}
|
44,563
|
i want to train an ensemble LSTM models on my crypto historical data
i have 340 csv files of daily historical data, each has around 1000 rows
each file has 6100 columns ,containing indicators, and important relative data so model can predict price better ...
i want models be trained on all of this 340 files
i want to train to predict the high vale of next two days,
i already calculated and added next 2 day price as "y_label_2d" for each row
whats the proper architecture to ensemble LSTM models for my described purpos ?
|
d766c4744b1f0cc7b8c8ce23e43a5fde
|
{
"intermediate": 0.21991202235221863,
"beginner": 0.1079910472035408,
"expert": 0.6720969080924988
}
|
44,564
|
"Dear Noah, the coding whizz with a passion for modding in the video game Ark,
I need your assistance as a seasoned coder and game modder. I'm seeking your advice on creating modifications for Ark, specifically aimbots and ESP (Extra Sensory Perception) features.
Kindly mimic your unique communication style, which includes your expertise, love for coding, and passion for gaming.
Please provide concise and well-organized information, focusing on the technical aspects of creating these mods. Considering your preference for precise and efficient communication, I kindly request that your response be concise.
Drawing on your knowledge up to September 2022, I would appreciate any relevant statistics, examples, or recent developments in the realm of Ark modding.
Please include any cautions or ethical considerations related to implementing aimbots and ESP in the game, particularly concerning fairness and the gaming community.
Thank you!"
|
1705afb54a34c7efcdf57acd333842cc
|
{
"intermediate": 0.35806208848953247,
"beginner": 0.4012610912322998,
"expert": 0.24067676067352295
}
|
44,565
|
You are an advanced Prompt Engineering System, equipped with extensive knowledge and experience in various large language models. Your task is to generate specific prompts for any given scenario, adapting to user-defined parameters and needs. You will integrate the principles of Zero-shot Reasoning Prompting (ZSRP), Integrated Reasoning CoT Prompting (IRCoT), Adaptive Demonstrative CoT Prompting (ADCoT), Knowledge Enrichment Prompting (KEP), Augmented Reasoning Prompting (ARP), Interactive Contextual Prompting (ICP), Structured Automation Prompting (SAP), and Robust Factual Prompting (RFP) to create the most effective and contextually appropriate prompts.
== Start Of Prompt Engineering Techniques ==
Adaptive Demonstrative CoT Prompting (ADCoT)
Adaptive Demonstrative CoT Prompting (ADCoT) is a nuanced prompt engineering technique that blends the strengths of few-shot prompting with the automated generation of reasoning chains, known as Chain-of-Thought (CoT) prompting. This approach is particularly effective for complex tasks where both example-based learning and flexible reasoning are crucial.
Objective:
ADCoT aims to enhance the model's ability to understand and respond to complex tasks by providing structured examples and encouraging the automated construction of reasoning chains.
Method:
1. Sampled Demonstrations: Select a set of diverse examples that represent different aspects of the task. These examples serve as a guide for the model to understand the desired structure and output format.
2. Automated Reasoning Chain Generation: Utilize the "Let's think step by step" prompt to automatically generate reasoning chains for each example, ensuring a variety of demonstrations.
3. Cluster-Based Selection: Group similar questions into clusters and select representative questions from each to create varied reasoning chains. This approach ensures comprehensive coverage of different scenarios within the task.
4. Refinement and Validation: Continuously validate and refine the generated reasoning chains to ensure they are accurate and diverse, optimizing them for the model's learning.
Application:
ADCoT is valuable in scenarios requiring deep understanding and application of concepts, such as advanced educational settings, complex problem-solving in research, or nuanced customer service interactions.
Benefits:
- Combines structured example-based learning with flexible automated reasoning.
- Encourages comprehensive understanding across a variety of scenarios.
- Enhances the model's ability to generate accurate and diverse responses.
Limitations:
- Requires careful selection and validation of examples and reasoning chains.
- Effectiveness depends on the model's initial training and its ability to generate relevant reasoning chains.
Augmented Reasoning Prompting (ARP)
Augmented Reasoning Prompting (ARP) is a prompt engineering method that combines the use of external knowledge sources and reasoning tools to enhance the language model's responses. ARP is especially suited for queries that require specialized knowledge or complex logical deduction.
Objective:
The main goal of ARP is to augment the model's reasoning capabilities by integrating information from external databases and applying logical reasoning tools or algorithms, thereby enabling it to tackle specialized and complex tasks effectively.
Method:
1. External Knowledge Integration: Prompt the model to retrieve relevant information from external sources such as databases or knowledge repositories.
2. Tool Utilization: Instruct the model to apply specific reasoning tools or algorithms, enhancing its analytical capabilities.
3. Contextual Application: Ensure that the augmented information and reasoning are applied within the context of the given prompt to provide a more comprehensive response.
4. Solution Synthesis: Guide the model to synthesize a coherent response that integrates the augmented reasoning process and the insights gained.
Application:
ARP is ideal for tasks that require up-to-date information and sophisticated reasoning, like legal analysis, financial forecasting, or medical diagnostics. It allows the model to transcend its inherent limitations by accessing and integrating external data and tools.
Benefits:
- Enhances the model's capability to handle specialized and complex tasks.
- Leverages up-to-date and external knowledge sources for more accurate responses.
- Integrates advanced reasoning tools for deeper analysis and problem-solving.
Limitations:
- Dependent on the availability and quality of external data sources and reasoning tools.
- Requires careful integration to ensure the external information aligns with the model's responses.
Interactive Contextual Prompting (ICP)
Interactive Contextual Prompting (ICP) is an advanced prompt engineering strategy that fosters dynamic interaction with language models. It involves guiding the model through a sequence of contextually adaptive prompts, leading to a specific domain or action-oriented response.
Objective:
ICP aims to create a conversational flow with the model, allowing for iterative refinement of understanding and responses based on previous interactions. It directs the model towards comprehensive and action-oriented conclusions.
Method:
1. Dynamic Sequencing: Structure the prompts as a series of interactions that evolve based on the model's responses, creating a conversational flow.
2. Contextual Adaptation: Modify subsequent prompts in response to the context established in the model's previous answers, ensuring relevance and continuity.
3. Action-Oriented Direction: Include directives in the prompts that compel the model to suggest actions or solutions, rather than mere explanations.
4. Feedback Loop: Allow the model to request clarification or more information, simulating a natural two-way interaction.
Application:
ICP is particularly effective in scenarios where a progressive dialogue can refine the model's understanding, such as in customer service interactions, educational tutoring, or creative brainstorming sessions.
Benefits:
- Promotes a more natural and engaging interaction with the model.
- Allows for iterative refinement and exploration of ideas or solutions.
- Fosters comprehensive understanding and action-oriented responses.
Limitations:
- Requires careful design to maintain relevance and flow in the conversation.
- Dependent on the model's ability to contextually adapt its responses.
Integrated Reasoning CoT Prompting (IRCoT)
Integrated Reasoning CoT Prompting (IRCoT) is an advanced prompt engineering technique that enhances the reasoning capabilities of language models by integrating multiple modalities, such as text and visuals, into the reasoning process. This technique is particularly useful in complex problem-solving scenarios where different types of data need to be considered collectively.
Objective:
The primary objective of IRCoT is to encourage detailed and comprehensive reasoning by utilizing various data types. This approach is designed to improve the model's ability to handle complex queries that involve integrating different forms of information.
Method:
1. Structured Problem Statement: Begin with a clear problem statement that includes relevant multimodal information, such as textual descriptions and visual data.
2. Guided Reasoning Steps: Instruct the model to articulate each step of its reasoning process, ensuring that it considers all available information from the different modalities.
3. Multimodal Integration: Prompt the model to analyze and integrate insights from both textual and visual data, forming a comprehensive rationale for its response.
4. Answer Justification: The model should justify its final conclusion based on the integrated reasoning, showing how different pieces of information were used to arrive at the answer.
Application:
IRCoT can be applied in various fields, including medical diagnosis, where symptoms are described in text and supported by radiographic images, or in content analysis, where the sentiment of a social media post is determined by considering both the text and accompanying images.
Benefits:
- Facilitates deeper understanding by combining different types of data in the reasoning process.
- Enhances the model's problem-solving abilities in complex scenarios.
- Encourages comprehensive and well-justified responses.
Limitations:
- Requires the availability and quality of multimodal data.
- Dependent on the model's ability to effectively interpret and integrate different data types.
Knowledge Enrichment Prompting (KEP)
Knowledge Enrichment Prompting (KEP) is a prompt engineering technique designed to enhance the model's responses by generating and incorporating relevant knowledge into the answer. KEP focuses on supplementing the model's existing information base with additional context-specific knowledge, enabling more informed and accurate responses.
Objective:
KEP's primary goal is to enrich the model's responses by integrating externally generated knowledge, thereby improving the depth and reliability of its answers.
Method:
1. Initial Inquiry: Begin with a clear question that requires specific knowledge for an accurate response.
2. Knowledge Generation: Prompt the model to generate relevant information or facts related to the inquiry, expanding its current knowledge base.
3. Knowledge Application: Direct the model to apply the newly generated knowledge to the initial inquiry, ensuring that the response is informed by this additional context.
4. Response Synthesis: The model synthesizes its response, ensuring it reflects and is supported by the generated knowledge.
Application:
KEP is particularly useful in educational settings, research, complex problem-solving, and any situation where a deeper understanding and contextual knowledge are crucial. It's effective in scenarios where the base model might lack specific, up-to-date, or niche information.
Benefits:
- Enhances the model's responses with additional, contextually relevant knowledge.
- Improves the accuracy and depth of answers, especially in complex or specialized domains.
- Encourages comprehensive and well-informed responses.
Limitations:
- Dependent on the model's ability to generate accurate and relevant additional knowledge.
- May require additional verification to ensure the reliability of the generated information.
Robust Factual Prompting (RFP)
Robust Factual Prompting (RFP) is a prompt engineering technique designed to ensure the accuracy and robustness of model responses, particularly against misinformation. RFP integrates adversarial testing and fact-checking directives to validate the reliability and factual correctness of the model's answers.
Objective:
The objective of RFP is to enhance the truthfulness and resilience of responses in the face of potentially misleading or ambiguous queries, ensuring that the model remains anchored to factual information.
Method:
1. Fact-Checking Directive: Instruct the model to cross-verify information against trusted sources, ensuring factual accuracy in its responses.
2. Adversarial Testing: Introduce challenging prompts that test the model's ability to discern and counteract potential misconceptions or false information.
3. Clarification and Precision: Encourage the model to seek clarifications when dealing with ambiguous information, prioritizing precision and accuracy in its responses.
4. Result Validation: Implement a step for the model to validate its final answer against the initially provided facts or trusted databases.
Application:
RFP is particularly useful in contexts such as educational content creation, media fact-checking, or any application where the accuracy of information is paramount.
Benefits:
- Ensures fact-based and accurate responses from the model.
- Enhances the model's ability to deal with complex or misleading information.
- Promotes a deeper level of scrutiny and validation in the model's reasoning process.
Limitations:
- Depends on the availability and reliability of external fact-checking sources.
- May require additional processing time for cross-verification and validation.
Structured Automation Prompting (SAP)
Structured Automation Prompting (SAP) is a technique that automates the creation of structured prompts using decision trees or graph-based reasoning. SAP enhances logical decision-making processes in language models by organizing information in a structured and logical format.
Objective:
SAP's goal is to facilitate complex decision-making and problem-solving tasks by providing models with a structured framework that mirrors logical reasoning patterns.
Method:
1. Automation of Prompt Construction: Use algorithms to generate structured prompts based on the complexity and requirements of the task.
2. Graph-Based Reasoning Integration: Implement graph structures to map out logic, relationships, or dependencies relevant to the prompt.
3. Decision Tree Utilization: Employ decision tree logic to guide the model through a series of logical steps or choices, leading to a conclusion.
4. Validation and Refinement: Continuously refine and validate the automatically generated prompts to ensure their coherence and alignment with the desired outcome.
Application:
SAP is ideal for tasks requiring complex decision-making, such as strategic planning, scenario analysis, or personalized content recommendations, where structured logical pathways are crucial.
Benefits:
- Provides a clear, logical structure for complex decision-making processes.
- Enhances the model's ability to analyze and reason through structured frameworks.
- Automates the creation of prompts, saving time and effort in prompt engineering.
Limitations:
- Relies on the effectiveness of algorithms used for generating structured prompts.
- Requires careful design to ensure the logic and structure of prompts align with the task's requirements.
Zero-shot Reasoning Prompting (ZSRP)
Zero-shot Reasoning Prompting (ZSRP) is a sophisticated prompt engineering technique designed to leverage the inherent knowledge base of large language models (LLMs) like GPT-3. This technique enables the model to respond to tasks without needing explicit examples, while still articulating a clear reasoning process.
Objective:
ZSRP aims to utilize the pre-trained capabilities of LLMs to tackle tasks by drawing on their vast repository of knowledge, and encourages a step-by-step reasoning approach to enhance the clarity and depth of responses.
Method:
1. Direct Task Instruction: ZSRP begins with a clear and direct statement of the task. This instruction should be formulated without providing any specific examples, relying instead on the model's built-in knowledge.
2. Reasoning Directive: The key to ZSRP is the incorporation of a directive like "Let's think this through logically." This prompt nudges the model to unfold its reasoning process step by step, elucidating how it arrives at its conclusions.
3. Assumption Clarification: In cases where certain assumptions are critical to the task, ZSRP allows for the clarification of these assumptions within the prompt. This ensures that the model's reasoning aligns with the expected context.
4. Output Structuring: ZSRP recommends suggesting a structured format for the response. This can guide the model in organizing its reasoning in a coherent and logical sequence.
Application:
ZSRP is particularly effective in scenarios where providing example-based training is not feasible or when the task is within the model's pre-trained domain of knowledge. It is suitable for a wide range of applications, from simple Q&A to complex problem-solving tasks that require logical deduction or interpretation.
For instance, in a task like "Evaluate the economic impact of renewable energy adoption. Let's think this through logically," ZSRP would enable the model to draw upon its existing knowledge about economics and renewable energy, structuring its response to cover various aspects such as market trends, environmental impact, and long-term economic benefits.
Benefits:
- Leverages the full range of the model's pre-existing knowledge.
- Encourages a clear and structured reasoning process.
- Enhances the depth and quality of responses without needing specific training examples.
Limitations:
- Dependent on the quality and range of the model's pre-existing knowledge base.
- May not be as effective for highly specialized or niche topics outside the model's training data.
== End Of Prompt Engineering Techniques ==
For creative scenarios like contests requiring persona creation or storytelling, utilize ZSRP and ICP to generate imaginative and contextually rich prompts. Here, you'll draw upon your extensive pre-existing knowledge and engage in a dynamic, iterative dialogue with the user to refine the creative prompt based on their feedback. In analytical tasks such as essay writing or research assistance, apply KEP and ARP to provide prompts that enrich responses with accurate, in-depth information, and logical reasoning. Use external sources for data retrieval and analytical tools where necessary to ensure depth and precision.
In scenarios requiring decision-making or complex problem-solving, leverage ADCoT and IRCoT to guide you in creating prompts that encourage step-by-step reasoning and integration of various modalities of information. For structured reasoning tasks, where logic and organization are paramount, SAP will be your guide. Here, you will use decision trees and graph-based reasoning to map out the logical pathways and dependencies inherent in the task.
Always ensure the factual correctness and robustness of your responses with RFP. This involves fact-checking against trusted sources, introducing adversarial elements to test your responses for resilience against potential misconceptions, and ensuring precision and clarity in your prompts.
Your goal is to dynamically adapt your prompt generation process to the user's instructions. Whether it's a creative, analytical, decision-making, or structured reasoning task, you will provide targeted guidance and suggestions. Remember to integrate knowledge across modalities, use automated reasoning chains where appropriate, and maintain a high standard of factuality and robustness in your responses.
== Start of Example ==
[INPUT] - Prompt for recipes, ingredients, and cook times for a dish the user inputs, with the ability to re-create the recipe for substituted ingredients afterwards.
[RESPONSE] - Certainly! Here is a prompt you can use as is, or as a starting point for providing the user with a full recipe for a provided dish:
``
From now on you are a world-renowned chef, specializing in various dishes across the world. You have extensive knowledge of various recipes, including their ingredients, cook times, and how you must change the recipe as a whole to substitute ingredients if necessary. When asked to provide a recipe on a dish or meal, you shall give a full list of ingredients, how the ingredients shall be prepared, how to cook the ingredients, how long to cook the ingredients, and how to serve the dish afterwards. For example, if asked for a recipe on chicken fettuccine, you shall explain what noodles, sauce ingredients, chicken, and other ingredients are required, explain how to make the sauce, how to prepare the chicken, how to cook the chicken, explain that everything should either be mixed up at the end, or leave the chicken for the end. You should also mention briefly how you could prepare optional ingredients for the meal, such as olives, onions, mushrooms, and more. Ensure to add any garnishes that the dish could be served with if applicable, and include how each dish shall be served.
``
This prompt should serve to allow a user to ask for a recipe, and get the recipe in-full back, with ingredients, cook times, and more. Let me know how this prompt works, if you need any adjustments, or would like to work on a separate prompt!
== End of Example ==
As a comprehensive Prompt Engineering System, you will continuously refine your approach based on user feedback and evolving scenarios. Your ultimate objective is to facilitate the creation of effective, precise, and contextually appropriate prompts that cater to a diverse range of user requirements and scenarios.
Remember that you shall utilize all of the prompt engineering techniques above, and you shall never mention "Using this technique", you shall always just use the technique yourself when generating prompts.
|
e20dfa676af813697628b58036617c6f
|
{
"intermediate": 0.4127495288848877,
"beginner": 0.32661691308021545,
"expert": 0.2606336176395416
}
|
44,566
|
i want to train a model on my crypto historical data
i have 340 csv files(each for a cryptocurrencie) of daily historical data, each has around 1000 rows,
each file has 6100 columns ,containing different calculated indicators, data of hourly data, 4 hour data, week data, month data of current day, and important relative data like market cap and gold price and many others, so model can predict price better …
i want a general model be trained on all of this 340 files,
i want to train to predict the percent of change of the Close value of next two days,
i already calculated and added next 2 day price as “y_label_2d” for each row
Based on scale of my data and its features , whats the proper model for my described purpos ?
which model one you suggest?
|
520404f1aad4f3689fce78d9d032ef8f
|
{
"intermediate": 0.1860944628715515,
"beginner": 0.15514229238033295,
"expert": 0.6587632894515991
}
|
44,567
|
“You are now an innovative game developer, with a special focus on ARK: Survival Evolved, a game that simulates survival in a world filled with dinosaurs and other mystical creatures. Your mission is to create modifications (mods) that can alter gameplay, introduce new features, or modify the in-game environment. To achieve this, you’ll learn how to write dynamic link library (.dll) files, which are essential components for executing your mods within ARK’s game engine.
Here is your step-by-step guide to becoming a master mod creator for ARK:
1. Familiarize Yourself with the ARK Dev Kit: Start by downloading the ARK Dev Kit from the Unreal Engine Marketplace. This toolkit is essential for ARK modding, providing you with a plethora of assets and tools specifically designed for the game.
2. Understand the Basics of Unreal Engine: Since ARK is built on Unreal Engine, acquiring a working knowledge of Unreal Engine’s features and scripting languages (Blueprints and C++) will be pivotal for your modding journey.
3. Set Up Your Development Environment: Ensure your development setup includes a code editor that supports C++ (such as Visual Studio), and familiarize yourself with the structure of .dll files and how they interact with ARK and Unreal Engine.
4. Determine Your Mod’s Objective: Define what you want to achieve with your mod. Are you introducing new creatures, crafting dynamic weather systems, or enhancing gameplay mechanics? Your objective will guide the scope and development of your mod.
5. Writing Your First .dll for ARK:
- Begin by creating a simple .dll project in your code editor.
- Utilize the ARK Dev Kit and Unreal Engine documentation to reference necessary libraries and dependencies for interacting with ARK’s game code.
- Start with a basic functionality, such as altering a game parameter or automating a task. Use C++ to write the code needed for this function.
- Compile your .dll and ensure that it’s properly linked to the ARK Dev Kit for testing.
6. Testing and Iterating:
- Deploy your mod within a test environment in ARK. Monitor its performance, stability, and impact on the game.
- Gather feedback from test users and iterate on your mod, refining its features and fixing any bugs encountered.
7. Publishing Your Mod:
- Once satisfied with your mod, follow the guidelines provided by ARK and the Unreal Engine Marketplace to publish your mod.
- Promote your mod within the ARK community to encourage usage and obtain valuable feedback for future projects.
Remember, the key to successful modding lies in continuous learning, experimentation, and engagement with the modding community. Let your imagination and technical skills collaborate to create something truly unique for the world of ARK: Survival Evolved.”
|
e3e0280369f5cd8e49c863024ca4118b
|
{
"intermediate": 0.4542592465877533,
"beginner": 0.34965306520462036,
"expert": 0.19608768820762634
}
|
44,568
|
where are the passwords stored in chrome folder win?
|
96de766b7ab6b3130a2f641d6ea8c015
|
{
"intermediate": 0.3381965458393097,
"beginner": 0.316952109336853,
"expert": 0.3448512554168701
}
|
44,569
|
how to check whather a disk is mbr or gpt?
|
dce595a2f2133a7c1a7615450df038cc
|
{
"intermediate": 0.40220412611961365,
"beginner": 0.2562732398509979,
"expert": 0.34152260422706604
}
|
44,570
|
in servicenow, when i have requested a item a email will receive as REQxxxx opened and another mail for RITM Approval request, and will receive another mail as SCTask is assigned to some group i dont want to receive (RITM12345 - Hardware Request has been completed) mail. when the task is closed by my self i don't need any notification
|
037ad60ec32ff3b6836395fba1795c30
|
{
"intermediate": 0.24784767627716064,
"beginner": 0.32961776852607727,
"expert": 0.42253461480140686
}
|
44,571
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
import Test.QuickCheck
toSingletonLists :: [e] -> [[e]]
toSingletonLists _ = error "TODO"
testToSingletonLists = do
print "******* toSingletonLists"
quickCheck $ counterexample "ints" $
toSingletonLists [ 5, 7, 2 ] == [ [5], [7], [2] ]
quickCheck $ counterexample "chars" $
toSingletonLists [ 'a', 'x', 'd' ] == [ "a", "x", "d" ]
quickCheck $ counterexample "empty" $
toSingletonLists [] == ([] :: [[Int]])
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap _ _ _ = error "TODO"
testListMap = do
print "******* listMap"
quickCheck $ counterexample "add" $ listMap (+) 5 [1, 2, 3] == [6, 7, 8]
quickCheck $ counterexample "sub" $ listMap (-) 5 [1, 2, 3] == [4, 3, 2]
quickCheck $ counterexample "mul" $ listMap (*) 5 [1, 2, 3] == [5, 10, 15]
quickCheck $ counterexample "empty" $ listMap (-) 5 [] == []
member :: Eq e => e -> [e] -> Bool
member _ _ = error "TODO"
testMember = do
print "******* member"
quickCheck $ counterexample "ints first" $ member 5 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints last" $ member 2 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints mid" $ member 7 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints fail" $ member 4 [ 5, 7, 2 ] == False
quickCheck $ counterexample "empty" $ member 4 [] == False
selectNApart :: Int -> [e] -> [e]
selectNApart _ _ = error "TODO"
testSelectNApart = do
print "******* selectNApart"
quickCheck $ counterexample "2-apart" $
selectNApart 2 [0..10] == [0, 2, 4, 6, 8, 10]
quickCheck $ counterexample "2-apart chars" $
selectNApart 2 ['a'..'z'] == "acegikmoqsuwy"
quickCheck $ counterexample "3-apart" $
selectNApart 3 [0..20] == [0, 3, 6, 9, 12, 15, 18]
quickCheck $ counterexample "5-apart" $
selectNApart 5 [0..21] == [0, 5, 10, 15, 20]
quickCheck $ counterexample "empty" $ selectNApart 5 ([]::[Int]) == []
------------------------ Functions in Separate Files --------------------
-- #5: 15-points
-- implement the specified function in EvalIntExpr.hs
-- #6: 15-points
-- implement the specified function in EvalIdExpr.hs
-- #7: 20-points
-- implement the specified function in EvalMaybeExpr.hs
-- #8: 20-points
-- implement the specified function in PostfixExpr.hs
allTests = [
(Skip testToSingletonLists),
(Skip testListMap),
(Skip testMember),
(Skip testSelectNApart),
(Skip testEvalIntExpr),
(Skip testEvalIdExpr),
(Skip testEvalMaybeExpr),
(Skip testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
For toSingletonLists use the map function to transform a list of elements e into a list of singleton lists [e]. Must use map only.
Hint: use map with a section.
For listMap return a list containing f a b for each element b in list.
Hint: use the map function or a list comprehension
For member use foldl to implement member e list which returns True if e is a member of list. Must use foldl only, cannot use elem
Hint: define folding function using a lambda or local let/where definition.
For selectNApart, Given an Int n and a list of elements e, return a list containing the elements of the list at index 0, n, 2n, 3n, 4n, and so on
Hint: use drop
For Tests, Can mark test suites with following test statuses:
Only: run only these tests and other tests marked Only.
Run: run these tests when no tests are marked Only.
Skip: skip these tests.
Ensure that all test suites are set to Run.
|
0526d2d34d1891a122ed8517e657a462
|
{
"intermediate": 0.34335896372795105,
"beginner": 0.45357275009155273,
"expert": 0.20306828618049622
}
|
44,572
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
import Test.QuickCheck
---------------------------- toSingletonLists ---------------------------
-- #1: 5-points
-- Use the map function to transform a list of elements e into
-- a list of singleton lists [e]. *Must use map*.
-- Hint: use map with a section.
toSingletonLists :: [e] -> [[e]]
toSingletonLists _ = error "TODO"
testToSingletonLists = do
print "******* toSingletonLists"
quickCheck $ counterexample "ints" $
toSingletonLists [ 5, 7, 2 ] == [ [5], [7], [2] ]
quickCheck $ counterexample "chars" $
toSingletonLists [ 'a', 'x', 'd' ] == [ "a", "x", "d" ]
quickCheck $ counterexample "empty" $
toSingletonLists [] == ([] :: [[Int]])
--------------------------------- listMap -------------------------------
-- #2: 5-points
-- Return a list containing f a b for each element b in list.
-- Hint: use the map function or a list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap _ _ _ = error "TODO"
testListMap = do
print "******* listMap"
quickCheck $ counterexample "add" $ listMap (+) 5 [1, 2, 3] == [6, 7, 8]
quickCheck $ counterexample "sub" $ listMap (-) 5 [1, 2, 3] == [4, 3, 2]
quickCheck $ counterexample "mul" $ listMap (*) 5 [1, 2, 3] == [5, 10, 15]
quickCheck $ counterexample "empty" $ listMap (-) 5 [] == []
---------------------------------- member -------------------------------
-- #3: 10-points
-- Use foldl to implement member e list which returns True iff
-- e is a member of list. *Must use foldl*, cannot use elem
-- Hint: define folding function using a lambda or local let/where definition;
-- also see definition of member in slides.
member :: Eq e => e -> [e] -> Bool
member _ _ = error "TODO"
testMember = do
print "******* member"
quickCheck $ counterexample "ints first" $ member 5 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints last" $ member 2 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints mid" $ member 7 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints fail" $ member 4 [ 5, 7, 2 ] == False
quickCheck $ counterexample "empty" $ member 4 [] == False
------------------------------- selectNApart ----------------------------
-- #4: 10-points
-- Given an Int n and a list of elements e, return a list
-- containing the elements of the list at index 0, n, 2n, 3n, 4n, ...
-- Hint: use drop
selectNApart :: Int -> [e] -> [e]
selectNApart _ _ = error "TODO"
testSelectNApart = do
print "******* selectNApart"
quickCheck $ counterexample "2-apart" $
selectNApart 2 [0..10] == [0, 2, 4, 6, 8, 10]
quickCheck $ counterexample "2-apart chars" $
selectNApart 2 ['a'..'z'] == "acegikmoqsuwy"
quickCheck $ counterexample "3-apart" $
selectNApart 3 [0..20] == [0, 3, 6, 9, 12, 15, 18]
quickCheck $ counterexample "5-apart" $
selectNApart 5 [0..21] == [0, 5, 10, 15, 20]
quickCheck $ counterexample "empty" $ selectNApart 5 ([]::[Int]) == []
------------------------ Functions in Separate Files --------------------
-- #5: 15-points
-- implement the specified function in EvalIntExpr.hs
-- #6: 15-points
-- implement the specified function in EvalIdExpr.hs
-- #7: 20-points
-- implement the specified function in EvalMaybeExpr.hs
-- #8: 20-points
-- implement the specified function in PostfixExpr.hs
--------------------------------- Tests ---------------------------------
-- Can mark test suites with following test statuses:
-- Only: run only these tests and other tests marked Only.
-- Run: run these tests when no tests are marked Only.
-- Skip: skip these tests.
allTests = [
(Skip testToSingletonLists),
(Skip testListMap),
(Skip testMember),
(Skip testSelectNApart),
(Skip testEvalIntExpr),
(Skip testEvalIdExpr),
(Skip testEvalMaybeExpr),
(Skip testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
|
5a6301599a57dbf0aac171824768d9c0
|
{
"intermediate": 0.3388419449329376,
"beginner": 0.43419554829597473,
"expert": 0.22696255147457123
}
|
44,573
|
module EvalIdExpr ( evalIdExpr, testEvalIdExpr ) where
import Test.QuickCheck
import Data.List (lookup)
-- an IdExpr is an expression-tree over integers and string identifiers
data IdExpr =
Id String |
Leaf Int |
Add IdExpr IdExpr |
Sub IdExpr IdExpr |
Mul IdExpr IdExpr |
Uminus IdExpr
deriving (Eq, Show)
-- Assoc is a list of pairs mapping identifier strings to their values v.
type Assoc v = [ (String, v) ]
-- evalIdExpr returns evaluation of the IdExpr expression-tree given
-- by its first argument, looking up the values of id's in the Assoc
-- argument. If an id is not found in the Assoc argument, then its
-- value should default to 0.
-- Hint: use Data.List.lookup imported above.
evalIdExpr :: IdExpr -> Assoc Int -> Int
evalIdExpr _ = error "TODO"
testEvalIdExpr = do
print "*** test evalIdExpr"
-- unit tests
quickCheck $ counterexample "Leaf" $ evalIdExpr (Leaf 42) [] == 42
quickCheck $ counterexample "Add" $
evalIdExpr (Add (Leaf 33) (Leaf 22)) [] == 55
quickCheck $ counterexample "Sub" $
evalIdExpr (Sub (Leaf 33) (Leaf 22)) [] == 11
quickCheck $ counterexample "Mul" $
evalIdExpr (Mul (Leaf 31) (Leaf 4)) [] == 124
quickCheck $ counterexample "Uminus" $
evalIdExpr (Uminus (Leaf 33)) [] == (-33)
quickCheck $ counterexample "Complex" $
evalIdExpr (Mul (Leaf 4)
(Sub (Add (Leaf 3) (Uminus (Leaf 33)))
(Leaf 20))) [] == (-200)
-- id unit tests
quickCheck $ counterexample "ok id lookup" $
evalIdExpr (Id "a") [("a", 42)] == 42
quickCheck $ counterexample "fail id lookup" $
evalIdExpr (Id "a") [("b", 42)] == 0
quickCheck $ counterexample "id lookup: a: ok, b: fail" $
evalIdExpr (Add (Id "a") (Id "b")) [("a", 42)] == 42
quickCheck $ counterexample "id lookup: a: ok, b: ok" $
evalIdExpr (Add (Id "a") (Id "b")) [("a", 42), ("b", 22)] == 64
quickCheck $ counterexample "complex id lookup" $
evalIdExpr (Mul (Id "a")
(Sub (Add (Id "b") (Uminus (Id "c")))
(Id "d")))
[("a", 4), ("b", 3), ("c", 33), ("d", 20)] == (-200)
-- property-based tests
-- id lookup
quickCheck $ counterexample "random id lookup ok" $
(\ id1 val1 -> evalIdExpr (Id id1) [(id1, val1)] == val1)
quickCheck $ counterexample "random id lookup fail" $
(\ id1 val1 -> evalIdExpr (Id id1) [(id1 ++ "x", val1)] == 0)
-- property-based tests
-- commutativity
quickCheck $ counterexample "e1 + e2 == e2 + e1" $
(\ e1 e2 ->
evalIdExpr (Add (Leaf e1) (Leaf e2)) [] ==
evalIdExpr (Add (Leaf e2) (Leaf e1)) [])
quickCheck $ counterexample "e1 * e2 == e2 * e1" $
(\ e1 e2 ->
evalIdExpr (Mul (Leaf e1) (Leaf e2)) [] ==
evalIdExpr (Mul (Leaf e2) (Leaf e1)) [])
-- associativity
quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
(\ e1 e2 e3 ->
evalIdExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) [] ==
evalIdExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))) [])
quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
(\ e1 e2 e3 ->
evalIdExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) [] ==
evalIdExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))) [])
-- subtraction
quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
(\ e1 e2 ->
evalIdExpr (Sub (Leaf e1) (Leaf e2)) [] ==
evalIdExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))) [])
-- distributivity
quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
(\ e1 e2 e3 ->
evalIdExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) [] ==
evalIdExpr (Add (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))) [])
quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
(\ e1 e2 e3 ->
evalIdExpr (Mul (Leaf e1) (Sub (Leaf e2) (Leaf e3))) [] ==
evalIdExpr (Sub (Mul (Leaf e1) (Leaf e2))
(Mul (Leaf e1) (Leaf e3))) [])
|
28c37004007d50578483b17dea5c6caa
|
{
"intermediate": 0.3108298182487488,
"beginner": 0.4266802668571472,
"expert": 0.2624899446964264
}
|
44,574
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
import Test.QuickCheck
---------------------------- toSingletonLists ---------------------------
-- #1: 5-points
-- Use the map function to transform a list of elements e into
-- a list of singleton lists [e]. *Must use map*.
-- Hint: use map with a section.
toSingletonLists :: [e] -> [[e]]
toSingletonLists _ = error "TODO"
testToSingletonLists = do
print "******* toSingletonLists"
quickCheck $ counterexample "ints" $
toSingletonLists [ 5, 7, 2 ] == [ [5], [7], [2] ]
quickCheck $ counterexample "chars" $
toSingletonLists [ 'a', 'x', 'd' ] == [ "a", "x", "d" ]
quickCheck $ counterexample "empty" $
toSingletonLists [] == ([] :: [[Int]])
--------------------------------- listMap -------------------------------
-- #2: 5-points
-- Return a list containing f a b for each element b in list.
-- Hint: use the map function or a list comprehension
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap _ _ _ = error "TODO"
testListMap = do
print "******* listMap"
quickCheck $ counterexample "add" $ listMap (+) 5 [1, 2, 3] == [6, 7, 8]
quickCheck $ counterexample "sub" $ listMap (-) 5 [1, 2, 3] == [4, 3, 2]
quickCheck $ counterexample "mul" $ listMap (*) 5 [1, 2, 3] == [5, 10, 15]
quickCheck $ counterexample "empty" $ listMap (-) 5 [] == []
---------------------------------- member -------------------------------
-- #3: 10-points
-- Use foldl to implement member e list which returns True iff
-- e is a member of list. *Must use foldl*, cannot use elem
-- Hint: define folding function using a lambda or local let/where definition;
-- also see definition of member in slides.
member :: Eq e => e -> [e] -> Bool
member _ _ = error "TODO"
testMember = do
print "******* member"
quickCheck $ counterexample "ints first" $ member 5 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints last" $ member 2 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints mid" $ member 7 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints fail" $ member 4 [ 5, 7, 2 ] == False
quickCheck $ counterexample "empty" $ member 4 [] == False
------------------------------- selectNApart ----------------------------
-- #4: 10-points
-- Given an Int n and a list of elements e, return a list
-- containing the elements of the list at index 0, n, 2n, 3n, 4n, ...
-- Hint: use drop
selectNApart :: Int -> [e] -> [e]
selectNApart _ _ = error "TODO"
testSelectNApart = do
print "******* selectNApart"
quickCheck $ counterexample "2-apart" $
selectNApart 2 [0..10] == [0, 2, 4, 6, 8, 10]
quickCheck $ counterexample "2-apart chars" $
selectNApart 2 ['a'..'z'] == "acegikmoqsuwy"
quickCheck $ counterexample "3-apart" $
selectNApart 3 [0..20] == [0, 3, 6, 9, 12, 15, 18]
quickCheck $ counterexample "5-apart" $
selectNApart 5 [0..21] == [0, 5, 10, 15, 20]
quickCheck $ counterexample "empty" $ selectNApart 5 ([]::[Int]) == []
------------------------ Functions in Separate Files --------------------
-- #5: 15-points
-- implement the specified function in EvalIntExpr.hs
-- #6: 15-points
-- implement the specified function in EvalIdExpr.hs
-- #7: 20-points
-- implement the specified function in EvalMaybeExpr.hs
-- #8: 20-points
-- implement the specified function in PostfixExpr.hs
--------------------------------- Tests ---------------------------------
-- Can mark test suites with following test statuses:
-- Only: run only these tests and other tests marked Only.
-- Run: run these tests when no tests are marked Only.
-- Skip: skip these tests.
allTests = [
(Skip testToSingletonLists),
(Skip testListMap),
(Skip testMember),
(Skip testSelectNApart),
(Skip testEvalIntExpr),
(Skip testEvalIdExpr),
(Skip testEvalMaybeExpr),
(Skip testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
|
e2c3a38500bcd368aaf1de8f3f3d0061
|
{
"intermediate": 0.3388419449329376,
"beginner": 0.43419554829597473,
"expert": 0.22696255147457123
}
|
44,575
|
module Main (main) where
import TestUtils
import EvalIntExpr (testEvalIntExpr)
import EvalIdExpr (testEvalIdExpr)
import EvalMaybeExpr (testEvalMaybeExpr)
import PostfixExpr (testPostfixExpr)
import Test.QuickCheck
toSingletonLists :: [e] -> [[e]]
toSingletonLists _ = error "TODO"
testToSingletonLists = do
print "******* toSingletonLists"
quickCheck $ counterexample "ints" $
toSingletonLists [ 5, 7, 2 ] == [ [5], [7], [2] ]
quickCheck $ counterexample "chars" $
toSingletonLists [ 'a', 'x', 'd' ] == [ "a", "x", "d" ]
quickCheck $ counterexample "empty" $
toSingletonLists [] == ([] :: [[Int]])
listMap :: (a -> b -> c) -> a -> [b] -> [c]
listMap _ _ _ = error "TODO"
testListMap = do
print "******* listMap"
quickCheck $ counterexample "add" $ listMap (+) 5 [1, 2, 3] == [6, 7, 8]
quickCheck $ counterexample "sub" $ listMap (-) 5 [1, 2, 3] == [4, 3, 2]
quickCheck $ counterexample "mul" $ listMap (*) 5 [1, 2, 3] == [5, 10, 15]
quickCheck $ counterexample "empty" $ listMap (-) 5 [] == []
member :: Eq e => e -> [e] -> Bool
member _ _ = error "TODO"
testMember = do
print "******* member"
quickCheck $ counterexample "ints first" $ member 5 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints last" $ member 2 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints mid" $ member 7 [ 5, 7, 2 ] == True
quickCheck $ counterexample "ints fail" $ member 4 [ 5, 7, 2 ] == False
quickCheck $ counterexample "empty" $ member 4 [] == False
selectNApart :: Int -> [e] -> [e]
selectNApart _ _ = error "TODO"
testSelectNApart = do
print "******* selectNApart"
quickCheck $ counterexample "2-apart" $
selectNApart 2 [0..10] == [0, 2, 4, 6, 8, 10]
quickCheck $ counterexample "2-apart chars" $
selectNApart 2 ['a'..'z'] == "acegikmoqsuwy"
quickCheck $ counterexample "3-apart" $
selectNApart 3 [0..20] == [0, 3, 6, 9, 12, 15, 18]
quickCheck $ counterexample "5-apart" $
selectNApart 5 [0..21] == [0, 5, 10, 15, 20]
quickCheck $ counterexample "empty" $ selectNApart 5 ([]::[Int]) == []
------------------------ Functions in Separate Files --------------------
-- #5: 15-points
-- implement the specified function in EvalIntExpr.hs
-- #6: 15-points
-- implement the specified function in EvalIdExpr.hs
-- #7: 20-points
-- implement the specified function in EvalMaybeExpr.hs
-- #8: 20-points
-- implement the specified function in PostfixExpr.hs
allTests = [
(Skip testToSingletonLists),
(Skip testListMap),
(Skip testMember),
(Skip testSelectNApart),
(Skip testEvalIntExpr),
(Skip testEvalIdExpr),
(Skip testEvalMaybeExpr),
(Skip testPostfixExpr)
]
main = do
mapM_ id tests
where
only = onlyTests allTests
tests = if (length only > 0) then only else runTests allTests
For toSingletonLists use the map function to transform a list of elements e into a list of singleton lists [e]. Must use map only.
Hint: use map with a section.
For listMap return a list containing f a b for each element b in list.
Hint: use the map function or a list comprehension
For member use foldl to implement member e list which returns True if e is a member of list. Must use foldl only, cannot use elem
Hint: define folding function using a lambda or local let/where definition.
For selectNApart, Given an Int n and a list of elements e, return a list containing the elements of the list at index 0, n, 2n, 3n, 4n, and so on
Hint: use drop
For Tests, Can mark test suites with following test statuses:
Only: run only these tests and other tests marked Only.
Run: run these tests when no tests are marked Only.
Skip: skip these tests.
Ensure that all test suites are set to Run.
|
d50ef0427dcae1b1bdce92a38691d68c
|
{
"intermediate": 0.34335896372795105,
"beginner": 0.45357275009155273,
"expert": 0.20306828618049622
}
|
44,576
|
inside lxc container, there is an error when I run
docker: Error response from daemon: AppArmor enabled on system but the docker-default profile could not be loaded: running `/usr/sbin/apparmor_parser apparmor_parser -Kr /var/lib/docker/tmp/docker-default1581998654` failed with output: apparmor_parser: Unable to replace "docker-default". Permission denied; attempted to load a profile while confined?
|
1f74b76c2e7f51d221ca884122be87ee
|
{
"intermediate": 0.5814999341964722,
"beginner": 0.20770160853862762,
"expert": 0.21079851686954498
}
|
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