row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
301
|
show me zscript code for a basic weapon jamming in zdoom
|
a847fe83b0488bba937a41ffad34389b
|
{
"intermediate": 0.4435632526874542,
"beginner": 0.2664232552051544,
"expert": 0.29001355171203613
}
|
302
|
Почему аэропорт Внуково так называется?
|
aaaf492c9aa64c4df514c7ad66687b40
|
{
"intermediate": 0.2891356647014618,
"beginner": 0.25861266255378723,
"expert": 0.4522516131401062
}
|
303
|
write a program in powershell that factory rests a windows computer if there is any new file
|
04c994ef383160e61e36fdc6e333e09e
|
{
"intermediate": 0.37161096930503845,
"beginner": 0.32856056094169617,
"expert": 0.29982852935791016
}
|
304
|
How to analyze a python code like this: import marshal
exec(marshal.loads(b'c\x00\x00\x00\x00\x00\x00\x00\x00\x00...)
I want an easy and quick way, and it would be nice if there is an online service that does that.
|
68531143a127f874ab0bec63419932e8
|
{
"intermediate": 0.38725027441978455,
"beginner": 0.36737287044525146,
"expert": 0.24537687003612518
}
|
305
|
This is a quiz question, the only details available are those given below. Explain the question in detail to me first, and then proceed to answer this question.
Q: The primary purpose of a Singleton is to restrict the limit of the number of object creations to only one. This oftern ensures that there is access control to resources, for example, socket or a database connection. Explain why this code is not thread safe, (i.e. more than one thread can break this code), then rewrite it so that this is thread safe:
package one;
public final class Singleton {
private static Singleton INSTANCE = null;
private double[] secretCode = {1.123, 2.234, 3.345};
private Singleton() {}
public static Singleton getInstance() {
if(INSTANCE == null) {
INSTANCE = new Singleton();
}
return INSTANCE;
}
//getters and setters
}
|
c81ddb4eb8f547823a2ba575ab1d4ef6
|
{
"intermediate": 0.22529703378677368,
"beginner": 0.6595044136047363,
"expert": 0.1151985377073288
}
|
306
|
I have a python code that I want to analyze, can you tell me how?
import marshal
exec(marshal.loads(b'c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s,\x00\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x01l\x01Z\x01d\x00d\x01l\x02Z\x02e\x03e\x02\xa0\x04d\x02\xa1\x01j\x05\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Nz\x9bhttps://raw.githubusercontent.com/saedarfa/I-wrote-cards-on-the-channel-/main/1681157059874_%D9%83%D8%B1%D9%88%D8%AA%20%D8%AA%D8%AC%D8%B1%D8%A8%D9%87%20.py)\x06\xda\x02os\xda\x03sysZ\x08requests\xda\x04exec\xda\x03get\xda\x04text\xa9\x00r\x06\x00\x00\x00r\x06\x00\x00\x00\xda\x06string\xda\x08<module>\x04\x00\x00\x00s\x06\x00\x00\x00\x08\x01\x08\x01\x08\x03'))
|
a07842b1a28cca9853c88c480edcbfd8
|
{
"intermediate": 0.5271440148353577,
"beginner": 0.34122246503829956,
"expert": 0.13163350522518158
}
|
307
|
I have this python code that detects correctly one template and all their occurrences in the same image, but I want to modify it to receive several templates as input and detect every template and all their occurrences in the same image
def Detect_Template(image, template, color):
# get the width and height of the template image
template_h, template_w = template.shape[:-1]
# perform template matching using the normalized cross-correlation method
result = cv2.matchTemplate(image_gray, template_gray, cv2.TM_CCOEFF_NORMED)
# set a threshold value for the matches
threshold = 0.70
# find all local maxima in the result map that exceed the threshold
(yCoords, xCoords) = np.where(result >= threshold)
# initialize our list of rectangles
rects = []
# loop over the starting (x, y)-coordinates again
for (x, y) in zip(xCoords, yCoords):
# update our list of rectangles
rects.append((x, y, x + template_w, y + template_h))
# apply non-maxima suppression to the rectangles
pick = non_max_suppression(np.array(rects))
#print(“[INFO] {} matched locations detected”.format(len(pick)))
# loop over the final bounding boxes
for (startX, startY, endX, endY) in pick:
# draw the bounding box on the image
cv2.rectangle(image, (startX, startY), (endX, endY), color, 3)
return image
|
81c9ef11b03a020bc68169281ef24471
|
{
"intermediate": 0.342658668756485,
"beginner": 0.21513386070728302,
"expert": 0.4422074854373932
}
|
308
|
I want to analyze the following python code can you use dis and translate the output for me to a regular python code:
import marshal
exec(marshal.loads(b'c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s,\x00\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x01l\x01Z\x01d\x00d\x01l\x02Z\x02e\x03e\x02\xa0\x04d\x02\xa1\x01j\x05\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Nz\x9bhttps://raw.githubusercontent.com/saedarfa/I-wrote-cards-on-the-channel-/main/1681157059874_%D9%83%D8%B1%D9%88%D8%AA%20%D8%AA%D8%AC%D8%B1%D8%A8%D9%87%20.py)\x06\xda\x02os\xda\x03sysZ\x08requests\xda\x04exec\xda\x03get\xda\x04text\xa9\x00r\x06\x00\x00\x00r\x06\x00\x00\x00\xda\x06string\xda\x08<module>\x04\x00\x00\x00s\x06\x00\x00\x00\x08\x01\x08\x01\x08\x03'))
|
74ab1a332b0e907e3ee5ff20c80ab2d9
|
{
"intermediate": 0.45411789417266846,
"beginner": 0.3379811942577362,
"expert": 0.20790089666843414
}
|
309
|
Can you help me translate the following python disassembled bytecode into regular python code:
5 0 LOAD_CONST 0 (0)
2 LOAD_CONST 1 (('Fore',))
4 IMPORT_NAME 0 (colorama)
6 IMPORT_FROM 1 (Fore)
8 STORE_NAME 1 (Fore)
10 POP_TOP
6 12 LOAD_CONST 0 (0)
14 LOAD_CONST 2 (None)
16 IMPORT_NAME 2 (requests)
18 STORE_NAME 2 (requests)
7 20 LOAD_CONST 0 (0)
22 LOAD_CONST 2 (None)
24 IMPORT_NAME 3 (os)
26 STORE_NAME 3 (os)
8 28 LOAD_CONST 0 (0)
30 LOAD_CONST 2 (None)
32 IMPORT_NAME 4 (pyfiglet)
34 STORE_NAME 4 (pyfiglet)
9 36 LOAD_CONST 0 (0)
38 LOAD_CONST 2 (None)
40 IMPORT_NAME 5 (time)
42 STORE_NAME 5 (time)
10 44 LOAD_CONST 0 (0)
46 LOAD_CONST 2 (None)
48 IMPORT_NAME 6 (webbrowser)
50 STORE_NAME 6 (webbrowser)
11 52 LOAD_NAME 3 (os)
54 LOAD_METHOD 7 (system)
56 LOAD_CONST 3 ('pip install requests')
58 CALL_METHOD 1
60 POP_TOP
12 62 LOAD_NAME 3 (os)
64 LOAD_METHOD 7 (system)
66 LOAD_CONST 4 ('pip install pyfiglet')
68 CALL_METHOD 1
70 POP_TOP
13 72 LOAD_NAME 3 (os)
74 LOAD_METHOD 7 (system)
76 LOAD_CONST 5 ('pip install time')
78 CALL_METHOD 1
80 POP_TOP
14 82 LOAD_NAME 3 (os)
84 LOAD_METHOD 7 (system)
86 LOAD_CONST 6 ('clear')
88 CALL_METHOD 1
90 POP_TOP
15 92 LOAD_NAME 1 (Fore)
94 LOAD_ATTR 8 (GREEN)
96 STORE_NAME 9 (G)
16 98 LOAD_NAME 1 (Fore)
100 LOAD_ATTR 10 (RED)
102 STORE_NAME 11 (R)
17 104 LOAD_NAME 1 (Fore)
106 LOAD_ATTR 12 (YELLOW)
108 STORE_NAME 13 (Y)
18 110 LOAD_NAME 1 (Fore)
112 LOAD_ATTR 14 (BLUE)
114 STORE_NAME 15 (B)
19 116 LOAD_CONST 7 ('ALKAPOS')
118 STORE_NAME 16 (y)
20 120 LOAD_NAME 4 (pyfiglet)
122 LOAD_METHOD 17 (figlet_format)
124 LOAD_NAME 16 (y)
126 CALL_METHOD 1
128 STORE_NAME 18 (k)
21 130 LOAD_NAME 19 (print)
132 LOAD_NAME 9 (G)
134 LOAD_NAME 18 (k)
136 BINARY_ADD
138 CALL_FUNCTION 1
140 POP_TOP
22 142 LOAD_NAME 5 (time)
144 LOAD_METHOD 20 (sleep)
146 LOAD_CONST 8 (2)
148 CALL_METHOD 1
150 POP_TOP
23 152 LOAD_NAME 3 (os)
154 LOAD_METHOD 7 (system)
156 LOAD_CONST 6 ('clear')
158 CALL_METHOD 1
160 POP_TOP
24 162 LOAD_NAME 19 (print)
164 CALL_FUNCTION 0
166 POP_TOP
30 168 LOAD_CONST 9 ('{Ramadan cards }\n')
170 STORE_NAME 21 (logo)
31 172 LOAD_NAME 19 (print)
174 CALL_FUNCTION 0
176 POP_TOP
32 178 LOAD_NAME 19 (print)
180 LOAD_NAME 9 (G)
182 LOAD_NAME 21 (logo)
184 BINARY_ADD
186 CALL_FUNCTION 1
188 POP_TOP
33 190 LOAD_NAME 19 (print)
192 LOAD_CONST 10 ('$$$')
194 CALL_FUNCTION 1
196 POP_TOP
36 198 LOAD_NAME 6 (webbrowser)
200 LOAD_METHOD 22 (open)
202 LOAD_CONST 11 ('https://t.me/+tbUErIb_1xZkNzY0')
204 CALL_METHOD 1
206 POP_TOP
37 208 LOAD_NAME 23 (input)
210 LOAD_NAME 9 (G)
212 LOAD_CONST 12 ('Enter Your Number: ')
214 BINARY_ADD
216 CALL_FUNCTION 1
218 STORE_NAME 24 (number)
38 220 LOAD_NAME 19 (print)
222 LOAD_CONST 13 ('$$$$$$$$$$')
224 CALL_FUNCTION 1
226 POP_TOP
39 228 LOAD_NAME 23 (input)
230 LOAD_NAME 9 (G)
232 LOAD_CONST 14 ('Enter Your Password: ')
234 BINARY_ADD
236 CALL_FUNCTION 1
238 STORE_NAME 25 (password)
41 240 LOAD_NAME 19 (print)
242 LOAD_CONST 13 ('$$$$$$$$$$')
244 CALL_FUNCTION 1
246 POP_TOP
42 248 LOAD_NAME 23 (input)
250 LOAD_CONST 15 ('Enter your token: ')
252 CALL_FUNCTION 1
254 STORE_NAME 26 (bot_token)
43 256 LOAD_NAME 19 (print)
258 LOAD_CONST 13 ('$$$$$$$$$$')
260 CALL_FUNCTION 1
262 POP_TOP
44 264 LOAD_NAME 23 (input)
266 LOAD_CONST 16 ('Enter your id: ')
268 CALL_FUNCTION 1
270 STORE_NAME 27 (chat_id)
45 272 LOAD_NAME 3 (os)
274 LOAD_METHOD 7 (system)
276 LOAD_CONST 6 ('clear')
278 CALL_METHOD 1
280 POP_TOP
49 282 LOAD_CONST 17 ('https://mobile.vodafone.com.eg/auth/realms/vf-realm/protocol/openid-connect/token')
284 STORE_NAME 28 (url)
50 286 LOAD_CONST 18 ('application/json, text/plain, */*')
51 288 LOAD_CONST 19 ('keep-alive')
52 290 LOAD_CONST 20 ('MT_3_17_998679495_45-0_a556db1b-4506-43f3-854a-1d2527767923_0_18957_273')
53 292 LOAD_CONST 21 ('1630483957')
54 294 LOAD_CONST 22 ('AnaVodafoneAndroid')
55 296 LOAD_CONST 23 ('RMX1911')
56 298 LOAD_CONST 24 ('2021.12.2')
57 300 LOAD_CONST 25 ('493')
58 302 LOAD_CONST 26 ('application/x-www-form-urlencoded')
59 304 LOAD_CONST 27 ('143')
60 306 LOAD_CONST 28 ('mobile.vodafone.com.eg')
61 308 LOAD_CONST 29 ('gzip')
48 310 LOAD_CONST 30 ('okhttp/4.9.1')
65 312 LOAD_CONST 31 (('Accept', 'Connection', 'x-dynatrace', 'x-agent-operatingsystem', 'clientId', 'x-agent-device', 'x-agent-version', 'x-agent-build', 'Content-Type', 'Content-Length', 'Host', 'Accept-Encoding', 'User-Agent'))
314 BUILD_CONST_KEY_MAP 13
316 STORE_NAME 29 (headers)
67 318 LOAD_NAME 24 (number)
69 320 LOAD_NAME 25 (password)
71 322 LOAD_CONST 32 ('password')
73 324 LOAD_CONST 33 ('a2ec6fff-0b7f-4aa4-a733-96ceae5c84c3')
64 326 LOAD_CONST 34 ('my-vodafone-app')
77 328 LOAD_CONST 35 (('username', 'password', 'grant_type', 'client_secret', 'client_id'))
330 BUILD_CONST_KEY_MAP 5
332 STORE_NAME 30 (data)
81 334 LOAD_NAME 2 (requests)
336 LOAD_ATTR 31 (post)
338 LOAD_NAME 28 (url)
340 LOAD_NAME 29 (headers)
342 LOAD_NAME 30 (data)
344 LOAD_CONST 36 (('headers', 'data'))
346 CALL_FUNCTION_KW 3
348 STORE_NAME 32 (res)
89 350 LOAD_NAME 32 (res)
352 LOAD_METHOD 33 (json)
354 CALL_METHOD 0
356 LOAD_CONST 37 ('access_token')
358 BINARY_SUBSCR
360 STORE_NAME 34 (jwt)
93 362 LOAD_CONST 38 ('https://web.vodafone.com.eg/services/dxl/ramadanpromo/promotion?@type=RamadanHub&channel=website&msisdn=')
364 LOAD_NAME 24 (number)
366 FORMAT_VALUE 0
368 BUILD_STRING 2
370 STORE_NAME 35 (ul)
94 372 LOAD_CONST 39 ('web.vodafone.com.eg')
95 374 LOAD_CONST 19 ('keep-alive')
96 376 LOAD_NAME 24 (number)
97 378 LOAD_CONST 40 ('PromotionHost')
98 380 LOAD_CONST 41 ('AR')
99 382 LOAD_CONST 42 ('Bearer ')
384 LOAD_NAME 34 (jwt)
386 BINARY_ADD
388 LOAD_CONST 43 ('')
390 BINARY_ADD
100 392 LOAD_CONST 44 ('application/json')
101 394 LOAD_CONST 45 ('https://web.vodafone.com.eg/spa/portal/hub')
102 396 LOAD_CONST 44 ('application/json')
103 398 LOAD_CONST 46 ('WebsiteConsumer')
104 400 LOAD_CONST 47 ('Mozilla/5.0')
105 402 LOAD_CONST 48 ('WEB')
106 404 LOAD_CONST 45 ('https://web.vodafone.com.eg/spa/portal/hub')
92 406 LOAD_CONST 49 ('gzip, deflate, br')
109 408 LOAD_CONST 50 (('Host', 'Connection', 'msisdn', 'api-host', 'Accept-Language', 'Authorization', 'Content-Type', 'x-dtreferer', 'Accept', 'clientId', 'User-Agent', 'channel', 'Referer', 'Accept-Encoding'))
410 BUILD_CONST_KEY_MAP 14
412 STORE_NAME 36 (hd)
114 414 LOAD_NAME 2 (requests)
416 LOAD_ATTR 37 (get)
418 LOAD_NAME 35 (ul)
420 LOAD_NAME 36 (hd)
422 LOAD_CONST 51 (('headers',))
424 CALL_FUNCTION_KW 2
426 LOAD_METHOD 33 (json)
428 CALL_METHOD 0
430 STORE_NAME 38 (r)
117 432 LOAD_NAME 38 (r)
434 GET_ITER
436 FOR_ITER 212 (to 862)
438 STORE_NAME 39 (x)
118 440 SETUP_FINALLY 184 (to 810)
120 442 LOAD_NAME 39 (x)
444 LOAD_CONST 52 ('pattern')
446 BINARY_SUBSCR
448 STORE_NAME 40 (pattern)
121 450 LOAD_NAME 40 (pattern)
452 GET_ITER
454 FOR_ITER 166 (to 788)
456 STORE_NAME 41 (t)
123 458 LOAD_NAME 41 (t)
460 LOAD_CONST 53 ('action')
462 BINARY_SUBSCR
464 STORE_NAME 42 (action)
124 466 LOAD_NAME 42 (action)
468 GET_ITER
470 FOR_ITER 146 (to 764)
472 STORE_NAME 43 (s)
126 474 LOAD_NAME 43 (s)
476 LOAD_CONST 54 ('characteristics')
478 BINARY_SUBSCR
480 STORE_NAME 44 (ch)
129 482 LOAD_NAME 44 (ch)
484 LOAD_CONST 0 (0)
486 BINARY_SUBSCR
488 LOAD_CONST 55 ('value')
490 BINARY_SUBSCR
492 STORE_NAME 45 (w)
132 494 LOAD_NAME 44 (ch)
496 LOAD_CONST 56 (1)
498 BINARY_SUBSCR
500 LOAD_CONST 55 ('value')
502 BINARY_SUBSCR
504 STORE_NAME 46 (f)
135 506 LOAD_NAME 44 (ch)
508 LOAD_CONST 8 (2)
510 BINARY_SUBSCR
512 LOAD_CONST 55 ('value')
514 BINARY_SUBSCR
516 STORE_NAME 47 (p)
139 518 LOAD_NAME 44 (ch)
520 LOAD_CONST 57 (3)
522 BINARY_SUBSCR
524 LOAD_CONST 55 ('value')
526 BINARY_SUBSCR
528 STORE_NAME 48 (g)
141 530 LOAD_NAME 19 (print)
532 LOAD_CONST 58 ('كرت من هنا لبكره لسه طازه 🔥\n\n🎁| عدد وحدات الكرت : ')
139 534 LOAD_NAME 46 (f)
142 536 FORMAT_VALUE 0
538 LOAD_CONST 59 ('\n💳| الكرت : ')
139 540 LOAD_NAME 48 (g)
143 542 FORMAT_VALUE 0
544 LOAD_CONST 60 ('\n⏱| باقي شحنات: ')
139 546 LOAD_NAME 47 (p)
151 548 FORMAT_VALUE 0
550 LOAD_CONST 61 ('\n| كرت لخط فودافون\n| اضغط للنسخ\n:\nرمضان كريم ')
552 BUILD_STRING 7
554 CALL_FUNCTION 1
556 POP_TOP
153 558 LOAD_CONST 58 ('كرت من هنا لبكره لسه طازه 🔥\n\n🎁| عدد وحدات الكرت : ')
151 560 LOAD_NAME 46 (f)
154 562 FORMAT_VALUE 0
564 LOAD_CONST 59 ('\n💳| الكرت : ')
151 566 LOAD_NAME 48 (g)
155 568 FORMAT_VALUE 0
570 LOAD_CONST 60 ('\n⏱| باقي شحنات: ')
151 572 LOAD_NAME 47 (p)
163 574 FORMAT_VALUE 0
576 LOAD_CONST 61 ('\n| كرت لخط فودافون\n| اضغط للنسخ\nـ')
578 BUILD_STRING 7
580 STORE_NAME 49 (message)
162 582 LOAD_CONST 62 ('https://api.telegram.org/bot')
584 LOAD_NAME 26 (bot_token)
586 FORMAT_VALUE 0
588 LOAD_CONST 63 ('/sendMessage?chat_id=')
590 LOAD_NAME 27 (chat_id)
592 FORMAT_VALUE 0
594 LOAD_CONST 64 ('&text=')
596 LOAD_NAME 49 (message)
598 FORMAT_VALUE 0
600 BUILD_STRING 6
164 602 STORE_NAME 28 (url)
168 604 LOAD_NAME 2 (requests)
606 LOAD_METHOD 31 (post)
608 LOAD_NAME 28 (url)
610 CALL_METHOD 1
612 STORE_NAME 50 (response)
614 EXTENDED_ARG 1
616 JUMP_ABSOLUTE 470 (to 940)
618 EXTENDED_ARG 1
620 JUMP_ABSOLUTE 454 (to 908)
622 POP_BLOCK
624 JUMP_FORWARD 20 (to 666)
169 626 DUP_TOP
628 LOAD_NAME 51 (BaseException)
630 EXTENDED_ARG 2
632 JUMP_IF_NOT_EXC_MATCH 644 (to 1288)
634 POP_TOP
636 POP_TOP
638 POP_TOP
640 POP_EXCEPT
642 JUMP_FORWARD 2 (to 648)
644 <48>
646 EXTENDED_ARG 1
>> 648 JUMP_ABSOLUTE 436 (to 872)
650 LOAD_CONST 2 (None)
652 RETURN_VALUE
|
bc97c13161fe7fe927f2079a8fca6abd
|
{
"intermediate": 0.45784568786621094,
"beginner": 0.41430994868278503,
"expert": 0.12784437835216522
}
|
310
|
How do I pass a function that I want to call to a method that will be used on a FTimerHandle in SetTimer in UE5?
|
201bfb45ff1ee4d2b20ef34c0ea0189e
|
{
"intermediate": 0.6531362533569336,
"beginner": 0.24915887415409088,
"expert": 0.09770487248897552
}
|
311
|
Can you help me translate the following python disassembled bytecode into regular python code:
5 0 LOAD_CONST 0 (0)
2 LOAD_CONST 1 (('Fore',))
4 IMPORT_NAME 0 (colorama)
6 IMPORT_FROM 1 (Fore)
8 STORE_NAME 1 (Fore)
10 POP_TOP
6 12 LOAD_CONST 0 (0)
14 LOAD_CONST 2 (None)
16 IMPORT_NAME 2 (requests)
18 STORE_NAME 2 (requests)
7 20 LOAD_CONST 0 (0)
22 LOAD_CONST 2 (None)
24 IMPORT_NAME 3 (os)
26 STORE_NAME 3 (os)
8 28 LOAD_CONST 0 (0)
30 LOAD_CONST 2 (None)
32 IMPORT_NAME 4 (pyfiglet)
34 STORE_NAME 4 (pyfiglet)
9 36 LOAD_CONST 0 (0)
38 LOAD_CONST 2 (None)
40 IMPORT_NAME 5 (time)
42 STORE_NAME 5 (time)
10 44 LOAD_CONST 0 (0)
46 LOAD_CONST 2 (None)
48 IMPORT_NAME 6 (webbrowser)
50 STORE_NAME 6 (webbrowser)
11 52 LOAD_NAME 3 (os)
54 LOAD_METHOD 7 (system)
56 LOAD_CONST 3 ('pip install requests')
58 CALL_METHOD 1
60 POP_TOP
12 62 LOAD_NAME 3 (os)
64 LOAD_METHOD 7 (system)
66 LOAD_CONST 4 ('pip install pyfiglet')
68 CALL_METHOD 1
70 POP_TOP
13 72 LOAD_NAME 3 (os)
74 LOAD_METHOD 7 (system)
76 LOAD_CONST 5 ('pip install time')
78 CALL_METHOD 1
80 POP_TOP
14 82 LOAD_NAME 3 (os)
84 LOAD_METHOD 7 (system)
86 LOAD_CONST 6 ('clear')
88 CALL_METHOD 1
90 POP_TOP
15 92 LOAD_NAME 1 (Fore)
94 LOAD_ATTR 8 (GREEN)
96 STORE_NAME 9 (G)
16 98 LOAD_NAME 1 (Fore)
100 LOAD_ATTR 10 (RED)
102 STORE_NAME 11 (R)
17 104 LOAD_NAME 1 (Fore)
106 LOAD_ATTR 12 (YELLOW)
108 STORE_NAME 13 (Y)
18 110 LOAD_NAME 1 (Fore)
112 LOAD_ATTR 14 (BLUE)
114 STORE_NAME 15 (B)
19 116 LOAD_CONST 7 ('ALKAPOS')
118 STORE_NAME 16 (y)
20 120 LOAD_NAME 4 (pyfiglet)
122 LOAD_METHOD 17 (figlet_format)
124 LOAD_NAME 16 (y)
126 CALL_METHOD 1
128 STORE_NAME 18 (k)
21 130 LOAD_NAME 19 (print)
132 LOAD_NAME 9 (G)
134 LOAD_NAME 18 (k)
136 BINARY_ADD
138 CALL_FUNCTION 1
140 POP_TOP
22 142 LOAD_NAME 5 (time)
144 LOAD_METHOD 20 (sleep)
146 LOAD_CONST 8 (2)
148 CALL_METHOD 1
150 POP_TOP
23 152 LOAD_NAME 3 (os)
154 LOAD_METHOD 7 (system)
156 LOAD_CONST 6 ('clear')
158 CALL_METHOD 1
160 POP_TOP
24 162 LOAD_NAME 19 (print)
164 CALL_FUNCTION 0
166 POP_TOP
30 168 LOAD_CONST 9 ('{Ramadan cards }\n')
170 STORE_NAME 21 (logo)
31 172 LOAD_NAME 19 (print)
174 CALL_FUNCTION 0
176 POP_TOP
32 178 LOAD_NAME 19 (print)
180 LOAD_NAME 9 (G)
182 LOAD_NAME 21 (logo)
184 BINARY_ADD
186 CALL_FUNCTION 1
188 POP_TOP
33 190 LOAD_NAME 19 (print)
192 LOAD_CONST 10 ('$$$')
194 CALL_FUNCTION 1
196 POP_TOP
36 198 LOAD_NAME 6 (webbrowser)
200 LOAD_METHOD 22 (open)
202 LOAD_CONST 11 ('https://t.me/+tbUErIb_1xZkNzY0')
204 CALL_METHOD 1
206 POP_TOP
37 208 LOAD_NAME 23 (input)
210 LOAD_NAME 9 (G)
212 LOAD_CONST 12 ('Enter Your Number: ')
214 BINARY_ADD
216 CALL_FUNCTION 1
218 STORE_NAME 24 (number)
38 220 LOAD_NAME 19 (print)
222 LOAD_CONST 13 ('$$$$$$$$$$')
224 CALL_FUNCTION 1
226 POP_TOP
39 228 LOAD_NAME 23 (input)
230 LOAD_NAME 9 (G)
232 LOAD_CONST 14 ('Enter Your Password: ')
234 BINARY_ADD
236 CALL_FUNCTION 1
238 STORE_NAME 25 (password)
41 240 LOAD_NAME 19 (print)
242 LOAD_CONST 13 ('$$$$$$$$$$')
244 CALL_FUNCTION 1
246 POP_TOP
42 248 LOAD_NAME 23 (input)
250 LOAD_CONST 15 ('Enter your token: ')
252 CALL_FUNCTION 1
254 STORE_NAME 26 (bot_token)
43 256 LOAD_NAME 19 (print)
258 LOAD_CONST 13 ('$$$$$$$$$$')
260 CALL_FUNCTION 1
262 POP_TOP
44 264 LOAD_NAME 23 (input)
266 LOAD_CONST 16 ('Enter your id: ')
268 CALL_FUNCTION 1
270 STORE_NAME 27 (chat_id)
45 272 LOAD_NAME 3 (os)
274 LOAD_METHOD 7 (system)
276 LOAD_CONST 6 ('clear')
278 CALL_METHOD 1
280 POP_TOP
49 282 LOAD_CONST 17 ('https://mobile.vodafone.com.eg/auth/realms/vf-realm/protocol/openid-connect/token')
284 STORE_NAME 28 (url)
50 286 LOAD_CONST 18 ('application/json, text/plain, */*')
51 288 LOAD_CONST 19 ('keep-alive')
52 290 LOAD_CONST 20 ('MT_3_17_998679495_45-0_a556db1b-4506-43f3-854a-1d2527767923_0_18957_273')
53 292 LOAD_CONST 21 ('1630483957')
54 294 LOAD_CONST 22 ('AnaVodafoneAndroid')
55 296 LOAD_CONST 23 ('RMX1911')
56 298 LOAD_CONST 24 ('2021.12.2')
57 300 LOAD_CONST 25 ('493')
58 302 LOAD_CONST 26 ('application/x-www-form-urlencoded')
59 304 LOAD_CONST 27 ('143')
60 306 LOAD_CONST 28 ('mobile.vodafone.com.eg')
61 308 LOAD_CONST 29 ('gzip')
48 310 LOAD_CONST 30 ('okhttp/4.9.1')
65 312 LOAD_CONST 31 (('Accept', 'Connection', 'x-dynatrace', 'x-agent-operatingsystem', 'clientId', 'x-agent-device', 'x-agent-version', 'x-agent-build', 'Content-Type', 'Content-Length', 'Host', 'Accept-Encoding', 'User-Agent'))
314 BUILD_CONST_KEY_MAP 13
316 STORE_NAME 29 (headers)
67 318 LOAD_NAME 24 (number)
69 320 LOAD_NAME 25 (password)
71 322 LOAD_CONST 32 ('password')
73 324 LOAD_CONST 33 ('a2ec6fff-0b7f-4aa4-a733-96ceae5c84c3')
64 326 LOAD_CONST 34 ('my-vodafone-app')
77 328 LOAD_CONST 35 (('username', 'password', 'grant_type', 'client_secret', 'client_id'))
330 BUILD_CONST_KEY_MAP 5
332 STORE_NAME 30 (data)
81 334 LOAD_NAME 2 (requests)
336 LOAD_ATTR 31 (post)
338 LOAD_NAME 28 (url)
340 LOAD_NAME 29 (headers)
342 LOAD_NAME 30 (data)
344 LOAD_CONST 36 (('headers', 'data'))
346 CALL_FUNCTION_KW 3
348 STORE_NAME 32 (res)
89 350 LOAD_NAME 32 (res)
352 LOAD_METHOD 33 (json)
354 CALL_METHOD 0
356 LOAD_CONST 37 ('access_token')
358 BINARY_SUBSCR
360 STORE_NAME 34 (jwt)
93 362 LOAD_CONST 38 ('https://web.vodafone.com.eg/services/dxl/ramadanpromo/promotion?@type=RamadanHub&channel=website&msisdn=')
364 LOAD_NAME 24 (number)
366 FORMAT_VALUE 0
368 BUILD_STRING 2
370 STORE_NAME 35 (ul)
94 372 LOAD_CONST 39 ('web.vodafone.com.eg')
95 374 LOAD_CONST 19 ('keep-alive')
96 376 LOAD_NAME 24 (number)
97 378 LOAD_CONST 40 ('PromotionHost')
98 380 LOAD_CONST 41 ('AR')
99 382 LOAD_CONST 42 ('Bearer ')
384 LOAD_NAME 34 (jwt)
386 BINARY_ADD
388 LOAD_CONST 43 ('')
390 BINARY_ADD
100 392 LOAD_CONST 44 ('application/json')
101 394 LOAD_CONST 45 ('https://web.vodafone.com.eg/spa/portal/hub')
102 396 LOAD_CONST 44 ('application/json')
103 398 LOAD_CONST 46 ('WebsiteConsumer')
104 400 LOAD_CONST 47 ('Mozilla/5.0')
105 402 LOAD_CONST 48 ('WEB')
106 404 LOAD_CONST 45 ('https://web.vodafone.com.eg/spa/portal/hub')
92 406 LOAD_CONST 49 ('gzip, deflate, br')
109 408 LOAD_CONST 50 (('Host', 'Connection', 'msisdn', 'api-host', 'Accept-Language', 'Authorization', 'Content-Type', 'x-dtreferer', 'Accept', 'clientId', 'User-Agent', 'channel', 'Referer', 'Accept-Encoding'))
410 BUILD_CONST_KEY_MAP 14
412 STORE_NAME 36 (hd)
114 414 LOAD_NAME 2 (requests)
416 LOAD_ATTR 37 (get)
418 LOAD_NAME 35 (ul)
420 LOAD_NAME 36 (hd)
422 LOAD_CONST 51 (('headers',))
424 CALL_FUNCTION_KW 2
426 LOAD_METHOD 33 (json)
428 CALL_METHOD 0
430 STORE_NAME 38 (r)
117 432 LOAD_NAME 38 (r)
434 GET_ITER
436 FOR_ITER 212 (to 862)
438 STORE_NAME 39 (x)
118 440 SETUP_FINALLY 184 (to 810)
120 442 LOAD_NAME 39 (x)
444 LOAD_CONST 52 ('pattern')
446 BINARY_SUBSCR
448 STORE_NAME 40 (pattern)
121 450 LOAD_NAME 40 (pattern)
452 GET_ITER
454 FOR_ITER 166 (to 788)
456 STORE_NAME 41 (t)
123 458 LOAD_NAME 41 (t)
460 LOAD_CONST 53 ('action')
462 BINARY_SUBSCR
464 STORE_NAME 42 (action)
124 466 LOAD_NAME 42 (action)
468 GET_ITER
470 FOR_ITER 146 (to 764)
472 STORE_NAME 43 (s)
126 474 LOAD_NAME 43 (s)
476 LOAD_CONST 54 ('characteristics')
478 BINARY_SUBSCR
480 STORE_NAME 44 (ch)
129 482 LOAD_NAME 44 (ch)
484 LOAD_CONST 0 (0)
486 BINARY_SUBSCR
488 LOAD_CONST 55 ('value')
490 BINARY_SUBSCR
492 STORE_NAME 45 (w)
132 494 LOAD_NAME 44 (ch)
496 LOAD_CONST 56 (1)
498 BINARY_SUBSCR
500 LOAD_CONST 55 ('value')
502 BINARY_SUBSCR
504 STORE_NAME 46 (f)
135 506 LOAD_NAME 44 (ch)
508 LOAD_CONST 8 (2)
510 BINARY_SUBSCR
512 LOAD_CONST 55 ('value')
514 BINARY_SUBSCR
516 STORE_NAME 47 (p)
139 518 LOAD_NAME 44 (ch)
520 LOAD_CONST 57 (3)
522 BINARY_SUBSCR
524 LOAD_CONST 55 ('value')
526 BINARY_SUBSCR
528 STORE_NAME 48 (g)
141 530 LOAD_NAME 19 (print)
532 LOAD_CONST 58 ('عدد وحدات الكرت : ')
139 534 LOAD_NAME 46 (f)
142 536 FORMAT_VALUE 0
538 LOAD_CONST 59 ('الكرت : ')
139 540 LOAD_NAME 48 (g)
143 542 FORMAT_VALUE 0
544 LOAD_CONST 60 ('باقي شحنات: ')
139 546 LOAD_NAME 47 (p)
151 548 FORMAT_VALUE 0
550 LOAD_CONST 61 ('اضغط للنسخ رمضان كريم ')
552 BUILD_STRING 7
554 CALL_FUNCTION 1
556 POP_TOP
153 558 LOAD_CONST 58 ('عدد وحدات الكرت : ')
151 560 LOAD_NAME 46 (f)
154 562 FORMAT_VALUE 0
564 LOAD_CONST 59 ('الكرت : ')
151 566 LOAD_NAME 48 (g)
155 568 FORMAT_VALUE 0
570 LOAD_CONST 60 ('\n| باقي شحنات: ')
151 572 LOAD_NAME 47 (p)
163 574 FORMAT_VALUE 0
576 LOAD_CONST 61 ('\n| كرت لخط فودافون\n| اضغط للنسخ\nـ')
578 BUILD_STRING 7
580 STORE_NAME 49 (message)
162 582 LOAD_CONST 62 ('https://api.telegram.org/bot')
584 LOAD_NAME 26 (bot_token)
586 FORMAT_VALUE 0
588 LOAD_CONST 63 ('/sendMessage?chat_id=')
590 LOAD_NAME 27 (chat_id)
592 FORMAT_VALUE 0
594 LOAD_CONST 64 ('&text=')
596 LOAD_NAME 49 (message)
598 FORMAT_VALUE 0
600 BUILD_STRING 6
164 602 STORE_NAME 28 (url)
168 604 LOAD_NAME 2 (requests)
606 LOAD_METHOD 31 (post)
608 LOAD_NAME 28 (url)
610 CALL_METHOD 1
612 STORE_NAME 50 (response)
614 EXTENDED_ARG 1
616 JUMP_ABSOLUTE 470 (to 940)
618 EXTENDED_ARG 1
620 JUMP_ABSOLUTE 454 (to 908)
622 POP_BLOCK
624 JUMP_FORWARD 20 (to 666)
169 626 DUP_TOP
628 LOAD_NAME 51 (BaseException)
630 EXTENDED_ARG 2
632 JUMP_IF_NOT_EXC_MATCH 644 (to 1288)
634 POP_TOP
636 POP_TOP
638 POP_TOP
640 POP_EXCEPT
642 JUMP_FORWARD 2 (to 648)
644 <48>
646 EXTENDED_ARG 1
>> 648 JUMP_ABSOLUTE 436 (to 872)
650 LOAD_CONST 2 (None)
652 RETURN_VALUE
|
aa952037a417e30d85f925e2143bc28f
|
{
"intermediate": 0.4451752305030823,
"beginner": 0.41527679562568665,
"expert": 0.1395479142665863
}
|
312
|
lets create a unity 2d game
|
773babe5d214017510d39d4e6e1b0f76
|
{
"intermediate": 0.39146938920021057,
"beginner": 0.346889466047287,
"expert": 0.26164111495018005
}
|
313
|
Do you know any easy / fast way to translate python disassembled bytecode to regular python code?
An online service or any automated way.
|
06166ec3b2f82736a28a8fbc2b0d622e
|
{
"intermediate": 0.33893734216690063,
"beginner": 0.3137814402580261,
"expert": 0.34728124737739563
}
|
314
|
I have given assignment below a try and I think I am doing pretty well. I am still missing some stuff though. In the AdminDashboard I am missing functionalities of the 3 buttons, ADD, EDIT,DELETE which controls the dataview grid that is connected to my access database. Also note I want to add another dataview grid which allows to edit the customer database. Help me to implement these functionalities also tell me if I missed any requirements. Thanks!
name of access database just incase you need it : db_users.mdb
Assingment
Scenario
You are contracted to develop a home appliance rental application for a local startup company. The renting business company provides affordable rental services for people looking to hire home electrical appliances from small to large for a minimum period of time starting from ONE (1) month. Examples of types of appliances are TV, fridge, freezer, washing machine, dryer, dishwasher, microwave, etc.
The application should have TWO (2) types of users which are administrator and customer. An administrator can view, add, edit, and delete an item. A customer can create an account with a username and password. The usernames can only contain letters and numbers. The password must be of length between EIGHT (8) and SIXTEEN (16) characters, and contain at least ONE (1) lowercase and ONE (1) uppercase letter. A customer can search, view, and order an item after they successfully log in the application.
Your program should include the following requirements. Functional Requirements:
● Customers can register.
● Customers can search appliances by type and view sorted appliances by energy consumption (see the table below for some common appliances, or research for your chosen appliances) or weekly cost. They can also add appliance items to a shopping cart.
● Calculation of the total price.
● Administrators can add, edit and delete appliance items.
● Log in page for customers and administrators. Appropriately handle the situation when a reasonable number of failed login attempts occur.
TABLE:
Appliance Power Usage Typical Usage Estimated annual running costs
LCD TV 0.21kWh per hour 6 hours a day (power on) £130
Fridge Freezer (A spec) 408kWh per year 24 hours a day £115
Tumble Dryer 2.50kWh per cycle 148 uses a year £105
Electric hob 0.71kWh per use 424 uses a year £85
Electric oven 1.56kWh per use 135 uses per year £60
Dishwasher 1.44kWh per use (at 65⁰C) 135 uses per year £55
Kettle 0.11kWh per use based on heating 1 litre of water 1,542 uses per year £48
Non-functional Requirements:
● Provide FIVE (5) types of appliances of your choice.
● Each type has TEN (10) appliances.
● Each appliance is rented for a monthly fee.
● Each appliance should have an appropriate description, such as brand, model, dimensions, colour, energy consumption, monthly fee etc.
● All FIVE (5) types of appliances should have different minimum rental contract periods starting from ONE (1) month.
● The application users are customers and administrators.
● Provide appropriate errors and help messages, and guidance for customer
TASK
a) You need to write code (written in C#) which fulfils all the requirements as outlined above.
b) The quality of your program will be assessed in terms of program structure, OOP principles in-cluding encapsulation, algorithms using appropriate control structures (loops and selections), and readability including appropriate comments
-----------------------------------------------------------------------------------------------------------------------------------
Form1.cs(login page):
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Runtime.Remoting.Lifetime;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.Data.OleDb;
using static System.Windows.Forms.VisualStyles.VisualStyleElement.Button;
namespace ApplianceRental
{
public partial class Form1 : Form
{
public Form1()
{
InitializeComponent();
OleDbConnection con = new OleDbConnec-tion("Provider=Microsoft.Jet.OLEDB.4.0;Data Source=db_users.mdb");
OleDbCommand cmd = new OleDbCommand();
OleDbDataAdapter da = new OleDbDataAdapter();
}
//connects to database
OleDbConnection con = new OleDbConnec-tion("Provider=Microsoft.Jet.OLEDB.4.0;Data Source=db_users.mdb");
OleDbCommand cmd = new OleDbCommand();
OleDbDataAdapter da = new OleDbDataAdapter();
private void Form1_Load(object sender, EventArgs e)
{
}
// Add a counter variable or class level property
private int failedAttempts = 0;
private void button1_Click(object sender, EventArgs e)
{
string username = textBox1.Text;
string password = textBox2.Text;
// Max login attempts
if (failedAttempts >= 3)
{
MessageBox.Show("Maximum login attempts reached.Contact the admin");
this.Close();
}
// Checks if user is admin if not then automatically user is assumed to be customer hence database of customer is checked
if (username == "Admin123" && password == "stcmalta")
{
// Open the Admin Dashboard form
AdminDashboardForm adminDashboardForm = new AdminDashboard-Form();
adminDashboardForm.Show();
this.Hide();
}
else
{
con.Open();
string login = "SELECT * FROM tbl_users WHERE username = '" + textBox1.Text + "' and password= '" + textBox2.Text + "'";
cmd = new OleDbCommand(login, con);
OleDbDataReader dr = cmd.ExecuteReader();
if (dr.Read() == true)
{
new CustomerDashboardForm().Show();
this.Hide();
}
else
{
MessageBox.Show("Invalid username or password! Please try again.");
failedAttempts++;
}
con.Close();
}
}
private void button2_Click(object sender, EventArgs e)
{
new RegistrationForm().Show();
this.Hide();
}
private void checkBox1_CheckedChanged(object sender, EventArgs e)
{
//snippet to unhide password if ticked
if (checkBox1.Checked)
{
textBox2.PasswordChar = '\0';
}
else
{
textBox2.PasswordChar = '*';
}
}
}
}
RegistrationForm.cs:
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Data.OleDb;
using System.Drawing;
using System.Linq;
using System.Net;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using static System.Windows.Forms.VisualStyles.VisualStyleElement.ListView;
using static Sys-tem.Windows.Forms.VisualStyles.VisualStyleElement.StartPanel;
using System.Xml.Linq;
using static System.Windows.Forms.VisualStyles.VisualStyleElement;
namespace ApplianceRental
{
public partial class RegistrationForm : Form
{
public RegistrationForm() // Add Form1 loginForm as a parameter
{
InitializeComponent();
}
OleDbConnection con = new OleDbConnec-tion("Provider=Microsoft.Jet.OLEDB.4.0;Data Source=db_users.mdb");
OleDbCommand cmd = new OleDbCommand();
OleDbDataAdapter da = new OleDbDataAdapter();
private void Register_Click(object sender, EventArgs e)
{
// Validate input fields
if (string.IsNullOrEmpty(textBox2.Text))
{
MessageBox.Show("Please enter a password.");
return;
}
if (textBox2.Text != textBox3.Text)
{
MessageBox.Show("Passwords do not match.");
return;
}
if (string.IsNullOrEmpty(textBox4.Text))
{
MessageBox.Show("Please enter your full name.");
return;
}
if (string.IsNullOrEmpty(textBox5.Text))
{
MessageBox.Show("Please enter your email address.");
return;
}
if (string.IsNullOrEmpty(textBox6.Text))
{
MessageBox.Show("Please enter your address.");
return;
}
if (textBox2.Text.Length < 8 && textBox2.Text.Length > 16)
{
MessageBox.Show("Password must be between 8 and 16 charac-ters.");
return;
}
else if (!textBox2.Text.Any(char.IsLower) || !text-Box2.Text.Any(char.IsUpper))
{
MessageBox.Show("Password must contain at least one lower-case and one uppercase letter.");
return;
}
con.Open();
string register = "INSERT INTO tbl_users VALUES ('" + text-Box1.Text + "','" + textBox2.Text + "', '" + textBox4.Text + "', '" + text-Box5.Text + "', '" + textBox6.Text + "')";
cmd = new OleDbCommand(register, con);
cmd.ExecuteNonQuery();
con.Close();
// Successful registration, do something here
MessageBox.Show("Registration successful!");
//emptying the fields
textBox1.Text = "";
textBox2.Text = "";
textBox4.Text = "";
textBox5.Text = "";
textBox6.Text = "";
textBox3.Text = "";
this.Hide();
new Form1().Show();
}
}
}
CustomerDashboardForm.cs:
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Runtime.Remoting.Lifetime;
using System.Text;
using System.Text.RegularExpressions;
using System.Threading.Tasks;
using System.Windows.Forms;
using static System.Net.Mime.MediaTypeNames;
using static System.Windows.Forms.VisualStyles.VisualStyleElement;
using System.Text.RegularExpressions;
using static System.Windows.Forms.VisualStyles.VisualStyleElement.TextBox;
namespace ApplianceRental
{
public partial class CustomerDashboardForm : Form
{
private DataTable cartItems = new DataTable();
public CustomerDashboardForm()
{
InitializeComponent();
cartItems.Columns.Add("Appliance");
cartItems.Columns.Add("PowerUsage");
cartItems.Columns.Add("TypicalUsage");
cartItems.Columns.Add("AnnualCost");
// Set dataGridViewCart DataSource
dataGridViewCart.DataSource = cartItems;
}
private void CustomerDashboardForm_Load(object sender, EventArgs e)
{
// TODO: This line of code loads data into the 'db_usersDataSet.ApplianceDBLIST' table. You can move, or remove it, as needed.
this.applianceDBLISTTableAdapter.Fill(this.db_usersDataSet.ApplianceDBLIST);
BindingSource bindingSource = new BindingSource();
bindingSource.DataSource = this.db_usersDataSet.ApplianceDBLIST;
comboBox1.DataSource = bindingSource;
comboBox1.DisplayMember = "Appliance"; // replace “Appliance” with your actual appliance column name
dataGridView1.DataSource = bindingSource;
}
private void dataGridView1_CellContentClick(object sender, Data-GridViewCellEventArgs e)
{
}
private void comboBox1_SelectedIndexChanged(object sender, Even-tArgs e)
{
for (int i = 0; i < dataGridView1.Rows.Count; i++)
{
if (dataGridView1.Rows[i].Cells[0].Value != null) // Add this line to check for null values
{
string applianceInGrid = data-GridView1.Rows[i].Cells[0].Value.ToString(); // Assuming Appliance is the first column
string applianceInComboBox = com-boBox1.SelectedItem.ToString();
if (applianceInGrid == applianceInComboBox)
{
dataGridView1.ClearSelection();
dataGridView1.Rows[i].Selected = true;
dataGridView1.CurrentCell = data-GridView1.Rows[i].Cells[0];
break;
}
}
}
}
private void CalculateTotal()
{
decimal totalAmount = 0;
foreach (DataRow row in cartItems.Rows)
{
totalAmount += Convert.ToDecimal(row["AnnualCost"]);
}
labelTotalAmount.Text =totalAmount.ToString("C");
}
private void button1_Click(object sender, EventArgs e)
{
if (comboBox1.SelectedIndex < 0)
{
MessageBox.Show("Please select an appliance to add to the cart.");
}
else
{
// Get the selected row in dataGridView1
DataGridViewRow selectedRow = data-GridView1.Rows[comboBox1.SelectedIndex];
// Create a new row for cartItems
DataRow newRow = cartItems.NewRow();
newRow["Appliance"] = selectedRow.Cells[0].Value; // Use the column index instead of name
newRow["PowerUsage"] = selectedRow.Cells[1].Value; // As-suming Power Usage is the second column
newRow["TypicalUsage"] = selectedRow.Cells[2].Value; // As-suming Typical Usage is the third column
newRow["AnnualCost"] = selectedRow.Cells[3].Value; // As-suming Estimated Annual Costs is the fourth column
// Add newRow to the cartItems
cartItems.Rows.Add(newRow);
// Calculate and display the total amount
CalculateTotal();
}
}
private void searchBox_TextChanged(object sender, EventArgs e)
{
}
private void button2_Click(object sender, EventArgs e)
{
if (string.IsNullOrEmpty(searchBox.Text))
{
MessageBox.Show("Please enter something to search");
}
else
{
DataView dataView = db_usersDataSet.ApplianceDBLIST.DefaultView;
string searchExpression = Re-gex.Escape(searchBox.Text.Trim()).Replace("'", "''");
dataView.RowFilter = string.Format("Appliance LIKE '%{0}%'", searchExpression);
dataGridView1.DataSource = dataView;
}
}
}
}
AdminDashboardForm.cs:
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
namespace ApplianceRental
{
public partial class AdminDashboardForm : Form
{
public AdminDashboardForm()
{
InitializeComponent();
}
private void dataGridView1_CellContentClick(object sender, Data-GridViewCellEventArgs e)
{
}
private void Add_Click(object sender, EventArgs e)
{
}
private void Edit_Click(object sender, EventArgs e)
{
}
private void Delete_Click(object sender, EventArgs e)
{
}
private void AdminDashboardForm_Load(object sender, EventArgs e)
{
}
}
}
|
932748f0b33a90078556251f6acfeda9
|
{
"intermediate": 0.2317834049463272,
"beginner": 0.43848299980163574,
"expert": 0.32973358035087585
}
|
315
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
9cd7116584f1eded75790f78ff967eb3
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
316
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
88e459123cd2263fb2f6d640e83a2f69
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
317
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
41a7997d66aa0d64f5de4ae54da3fdc0
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
318
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
f30fd6ba703ba01de1d6cc9d590eeaa2
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
319
|
InstagramのプロアカウントとFacebook APIとInstagram グラフAPIとPython3とpandasとStreamlitを用いる事ができる状況において、①自分がInstagramで投稿したコンテンツに投稿日を元にした"YYYYMMDD"というIDを付与(同日に複数投稿がある場合には枝番として"_1","_2"と付与)しリストから選択できるようにし、対象のコンテンツ画像をInstagramから自動でダウンロードして表示し、コンテンツに対する"いいね"数と"いいね"したユーザー名とユーザー画像の表示と隣にインプレッションから計算した"いいね"の割合のパーセントを表示するのが1列目、コンテンツに対するコメントとそのコメント実施ユーザー名とユーザー画像が2列目、コンテンツがきっかけでフォローを実施したユーザー名とユーザー画像の表示が3列目、これらの情報を1ペイン目で表示し、②2ペイン目で、すべてのコンテンツの取得可能なすべてのアナリティクス情報の各データをリストから選択し分析でき、インタラクティブなグラフやチャートで1ペイン目と並行して表示できるようにし、③毎回の入力が不要なように事前に必要な情報はコードに埋め込んである設定のPythonコードを作成しています。
'''
import json
import pandas as pd
import requests
import streamlit as st
from datetime import datetime
from typing import Tuple, List
# 事前に必要な情報を埋め込む
ACCESS_TOKEN ="EAABwWXZBIFt8BAKgRzMA7tq6TUNgkdqV4ZCj5TaSRn2kxQBLdGvzkMdaVB5f9nSV7ZBVF8pUmyROwZAiAqk2ZCdxTvFPOUDQqvGpm5nTIVk7nralcZBWV9DZAx1gfXQYffayZCcA234FtsURFQFBpAgtzgozY1unRaMUKp9tLZBp6vMGf5hLKNdJjpXpTPCT3654bBcZA4xt8grAZDZD"
USER_ID ="17841458386736965"
def extract_data(response: requests.Response) -> pd.DataFrame:
if response.status_code != 200:
error_message = json.loads(response.text).get("error", {}).get("message", "Unknown error")
raise ValueError(f"API request failed with status code {response.status_code}. Error: {error_message}")
data = response.json()['data']
df = pd.DataFrame(data)
return df
# Other functions are kept the same as before…
# Check if the access token and user ID are not empty
if not ACCESS_TOKEN:
st.warning("Please set your ACCESS_TOKEN in the code.")
st.stop()
if not USER_ID:
st.warning("Please set your USER_ID in the code.")
st.stop()
# Main logic
try:
st.set_page_config(page_title='Instagram Analytics', layout='wide')
with st.sidebar:
st.title('Instagram Analytics')
# Get media
media_url = f"https://graph.instagram.com/v12.0/{USER_ID}/media?fields=id,caption,timestamp&access_token={ACCESS_TOKEN}"
response = requests.get(media_url)
media_df = extract_data(response)
# Add post ID
post_creation_dates = []
media_df['post_id'] = media_df.apply(lambda row: get_post_id(row['timestamp'], row['id'], post_creation_dates), axis=1)
# Sidebar selectbox
selected_post = st.sidebar.selectbox('Select Post:', media_df['post_id'].values)
with st.empty():
col1, col2, col3 = st.Columns([1,1,1])
# Get selected post data
selected_media_id = media_df.loc[media_df['post_id'] == selected_post, 'id'].values[0]
image_url, post_created_time = get_media_data(selected_media_id)
st.image(image_url, width=300)
# Get like data and display the required information
total_likes = get_total_counts("likes", selected_media_id)
col1.metric('Total Likes', total_likes)
impressions = 0 # Replace with actual impression data
like_percentage = (total_likes / impressions) * 100 if impressions != 0 else 0
col1.metric('Like Percentage', f"{like_percentage:.2f}%")
# Get user-like data
like_user_information = []
like_url = f"https://graph.instagram.com/v12.0/{selected_media_id}/likes?fields=username,profile_picture_url,timestamp&access_token={ACCESS_TOKEN}"
like_data = requests.get(like_url).text
like_df = extract_data(like_data)
for idx, user in like_df.iterrows():
username, profile_picture_url = get_username_and_picture(user['id'])
like_user_information.append({
"username": username,
"profile_picture_url": profile_picture_url,
"timestamp": user['timestamp']
})
like_user_df = pd.DataFrame(like_user_information)
if not like_user_df.empty:
like_user_df = like_user_df[like_user_df['timestamp'] == post_created_time]
col1.write(like_user_df)
# Get comments data
comments_url = f"https://graph.instagram.com/v12.0/{selected_media_id}/comments?fields=username,profile_picture_url,timestamp&access_token={ACCESS_TOKEN}"
comments_data = requests.get(comments_url).text
comments_df = extract_data(comments_data)
if not comments_df.empty:
comments_df = comments_df[comments_df['timestamp'] == post_created_time]
for idx, user in comments_df.iterrows():
username, profile_picture_url = get_username_and_picture(user['id'])
col2.write(f'{username}: {user["text"]}')
col2.image(profile_picture_url, width=50)
break
# Get follow data (sample data)
follow_user_info = [
{"id": "id_1", "username": "John", "profile_picture_url": "https://example.com/profile_1.jpg"},
{"id": "id_2", "username": "Jane", "profile_picture_url": "https://example.com/profile_2.jpg"}
]
for follow_user in follow_user_info:
col3.write(follow_user["username"])
col3.image(follow_user["profile_picture_url"], width=50)
with st.expander('Analytics Pane'):
total_comments = get_total_counts("comments", selected_media_id)
col1.metric('Total Comments', total_comments)
# Display interactive graphs and charts of analytics data (sample data)
sample_data = pd.DataFrame({
'dates': pd.date_range(start='2021-01-01', periods=10, freq='M'),
'values': [100, 150, 170, 200, 220, 250, 270, 300, 330, 350]
})
selected_analytics = st.multiselect('Select Analytics:', sample_data.columns)
if any(selected_analytics):
st.line_chart(sample_data[selected_analytics])
except ValueError as ve:
st.error(f"An error occurred while fetching data from the API: {str(ve)}")
'''
上記コードを実行すると下記のエラーが発生します。行頭にPython用のインデントを付与した修正済みのコードを表示してください。
‘’‘
Cell In[65], line 95
break
^
SyntaxError: 'break' outside loop
‘’’
|
c92ca05dc8cd793772464e4ae0c552c3
|
{
"intermediate": 0.3877745568752289,
"beginner": 0.42854544520378113,
"expert": 0.1836799681186676
}
|
320
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
767274db607ff1e9bb07f86562bc787e
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
321
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
c223e366f6f448cf7b65ad447599cf34
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
322
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
85e634be2a356c75edb05834eb24efe2
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
323
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
83a082220e34e8ef7464172952080f5d
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
324
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
9e45e0278c05b9980ee6ed40fb741fa5
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
325
|
C++ float to int will be ceil, round or floor
|
ffacc538ff0fe8ff4eaad8b794a6bc11
|
{
"intermediate": 0.25911054015159607,
"beginner": 0.4993853271007538,
"expert": 0.24150411784648895
}
|
326
|
after every item in the list, please translate it to mandarin chinese with pinyin: Sentence Phrases:
1. I love eating pasta.
2. Let’s order pizza tonight.
3. Fried rice is my favorite dish.
4. Mom made noodles for dinner.
5. I packed a sandwich for lunch.
6. Can we go out for hamburgers?
7. I want a hot dog at the game.
8. We should try the fish and chips.
9. Let’s make tacos for dinner.
10. Chicken nuggets are a kid’s favorite.
11. Warm soup is great for cold days.
12. I had a salad for lunch today.
13. Grilled cheese is a tasty snack.
14. Mashed potatoes are so creamy.
15. Steak is delicious when cooked right.
16. Roast chicken smells amazing.
17. Have you ever tried sushi?
18. Spaghetti with sauce is so good.
19. Meatballs go great with pasta.
20. I ordered a burrito for lunch.
Common Sentences:
1. What kind of pasta do you like?
2. Do you prefer thin or thick crust pizza?
3. What ingredients do you like in your fried rice?
4. Do you like your noodles with sauce or plain?
5. What is your favorite type of sandwich?
6. What toppings do you like on your hamburger?
7. Do you like your hot dog with ketchup or mustard?
8. Have you ever tried British fish and chips?
9. What toppings do you like on your tacos?
10. Do you like chicken nuggets with sauce?
11. What is your favorite type of soup?
12. Do you like your salad with dressing?
13. How do you make a grilled cheese sandwich?
14. Do you like your mashed potatoes with butter or gravy?
15. How do you like your steak cooked?
16. What sides do you eat with roast chicken?
17. Do you prefer sushi rolls or sashimi?
18. What sauce do you like with spaghetti?
19. How big do you like your meatballs?
20. Do you like your burrito with beans or just meat?
Basic Sentences (Grade 3 ESL Level):
1. I eat pasta with a fork.
2. Pizza has cheese on it.
3. Fried rice has vegetables.
4. Noodles can be thin or thick.
5. A sandwich has two pieces of bread.
6. A hamburger has a meat patty.
7. A hot dog is in a bun.
8. Fish and chips are fried.
9. Tacos have a shell and fillings.
10. Chicken nuggets are bite-sized.
11. Soup can be hot or cold.
12. A salad has lettuce and vegetables.
13. Grilled cheese is warm and gooey.
14. Mashed potatoes are soft.
15. Steak comes from cows.
16. Roast chicken is cooked in the oven.
17. Sushi has rice and fish.
18. Spaghetti is long pasta.
19. Meatballs are round and tasty.
20. A burrito is a wrapped food.
|
8eb53c1771195dd3f83f3802b0fdf78f
|
{
"intermediate": 0.3555276691913605,
"beginner": 0.36955514550209045,
"expert": 0.2749171257019043
}
|
327
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
701f3e2a3cf8fe6456d8b6ee102900f5
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
328
|
please build a simple kotlin android flashcard app
|
31244df03540fb70cf9d2cfe4065f72c
|
{
"intermediate": 0.3331892490386963,
"beginner": 0.32264918088912964,
"expert": 0.3441615700721741
}
|
329
|
Generate a matrix-based system that can be customized based on a user specification section that includes options for writing style and tag types such as newline tags. The system should read inputted data and generate other data based on the provided information.
The matrix system will use a format that includes brackets for labeling elements, such as [type: data] and [type2: data]. The user specification section should be sufficiently detailed but concise. Consider implementing a preview feature that allows the user to see how their input will be formatted before generating the final content.
Have the system be in text and usable in chatgpt posts.
|
a75f0c8a5b5e85aa74c95ff541a85212
|
{
"intermediate": 0.4040585458278656,
"beginner": 0.2551339864730835,
"expert": 0.3408074676990509
}
|
330
|
Generate a matrix-based system that can be customized based on a user specification section that includes options for writing style and tag types such as newline tags.
Have the system be in text and usable in chatgpt posts.
An example of a format is:
[Name]; [Hobbies (weight 0-1)]; [Favorite Activities (weight 0-1)]; [Interests (weight 0-1)]; [Body Influence on Life (weight 0-1)]; [Confidence (weight 0-1)]; [Horniness (weight 0-1)]; [Body Sensitivity (weight 0-1)]; [Sexual Activity (weight 0-1)]; [Personality Tags and Descriptors (weight 0-1)]
|
3bab8ce331064cf095aa0a02b0f09917
|
{
"intermediate": 0.4073523283004761,
"beginner": 0.2617967128753662,
"expert": 0.3308509290218353
}
|
331
|
Do you know any easy / fast way to translate python disassembled bytecode to regular python code?
An online service or any automated way.
|
e62627a6db224a05bf1fa446eae52098
|
{
"intermediate": 0.33893734216690063,
"beginner": 0.3137814402580261,
"expert": 0.34728124737739563
}
|
332
|
For the SPN discussed in the class notes slides, consider the linear trail with three active S-boxes:
and
with the input sum and output sum pairs (C, 2), (2, 2) and (2, A) respectively. Find the total bias for this trail.
|
2c658cddea823515ba081b08456d86ec
|
{
"intermediate": 0.14782410860061646,
"beginner": 0.10935445874929428,
"expert": 0.7428213953971863
}
|
333
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
ae2050da3af300cfa9bddec7ac9a6c72
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
334
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
68814728e97fdf3d6fc32058abb8009b
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
335
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
cc98c63c8a660121d60bbf99576bff94
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
336
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
208b71e6caa723d61e542021a12d2069
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
337
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
91656bcc7279d8e3e02e86040a84862d
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
338
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的柏林噪声
|
ad7625732e8c5f2ba211ca479c69ddbd
|
{
"intermediate": 0.3405660092830658,
"beginner": 0.2435588538646698,
"expert": 0.4158751666545868
}
|
339
|
How to use Decompyle++ (pycdc) to translate python disassembled bytecode to regular python code
|
6d2b944c19cb8924f509ed5a16cbfbbb
|
{
"intermediate": 0.35185250639915466,
"beginner": 0.2830692231655121,
"expert": 0.36507824063301086
}
|
340
|
InstagramのプロアカウントとFacebook APIとInstagram グラフAPIとPython3とpandasとStreamlitを用いる事ができる状況において、①自分がInstagramで投稿したコンテンツに投稿日を元にした"YYYYMMDD"というIDを付与(同日に複数投稿がある場合には枝番として"_1","_2"と付与)しリストから選択できるようにし、対象のコンテンツ画像をInstagramから自動でダウンロードして表示し、コンテンツに対する"いいね"数と"いいね"したユーザー名とユーザー画像の表示と隣にインプレッションから計算した"いいね"の割合のパーセントを表示するのが1列目、コンテンツに対するコメントとそのコメント実施ユーザー名とユーザー画像が2列目、コンテンツがきっかけでフォローを実施したユーザー名とユーザー画像の表示が3列目、これらの情報を1ペイン目で表示し、②2ペイン目で、すべてのコンテンツの取得可能なすべてのアナリティクス情報の各データをリストから選択し分析でき、インタラクティブなグラフやチャートで1ペイン目と並行して表示できるようにし、③毎回の入力が不要なように事前に必要な情報はコードに埋め込んである設定のPythonコードを作成しています。
'''
import json
import pandas as pd
import requests
import streamlit as st
from datetime import datetime
from typing import Tuple, List
# 事前に必要な情報を埋め込む
ACCESS_TOKEN = ""
USER_ID = ""
def get_post_id(timestamp: str, media_id: str, post_creation_dates: List[str]) -> str:
date = datetime.strptime(timestamp, '%Y-%m-%dT%H:%M:%S%z').strftime('%Y%m%d')
post_id = f"{date}_{post_creation_dates.count(date)+1}"
post_creation_dates.append(date)
return post_id
def get_media_data(media_id: str) -> Tuple[str, str]:
media_url = f"https://graph.instagram.com/v12.0/{media_id}?fields=media_type,media_url,timestamp&access_token={ACCESS_TOKEN}"
response = requests.get(media_url)
media_data = response.json()
return media_data["media_url"], media_data["timestamp"]
def get_username_and_picture(user_id: str) -> Tuple[str, str]:
user_url = f"https://graph.instagram.com/v12.0/{user_id}?fields=username,profile_picture_url&access_token={ACCESS_TOKEN}"
response = requests.get(user_url)
user_data = response.json()
return user_data["username"], user_data["profile_picture_url"]
def get_total_counts(count_type: str, media_id: str) -> int:
if count_type not in ["likes", "comments"]:
return 0
count_url = f"https://graph.instagram.com/v12.0/{media_id}?fields={count_type}.summary(true)&access_token={ACCESS_TOKEN}"
response = requests.get(count_url)
summary_data = response.json()
return summary_data["summary"]["total_count"]
# Check if the access token and user ID are not empty
if not ACCESS_TOKEN:
st.warning("Please set your ACCESS_TOKEN in the code.")
st.stop()
if not USER_ID:
st.warning("Please set your USER_ID in the code.")
st.stop()
# Main logic
try:
st.set_page_config(page_title="Instagram Analytics", layout="wide")
with st.sidebar:
st.title("Instagram Analytics")
# Get media
media_url = f"https://graph.instagram.com/v12.0/{USER_ID}/media?fields=id,caption,timestamp&access_token={ACCESS_TOKEN}"
response = requests.get(media_url)
media_df = extract_data(response)
# Add post ID
post_creation_dates = []
media_df["post_id"] = media_df.apply(
lambda row: get_post_id(row["timestamp"], row["id"], post_creation_dates), axis=1
)
# Sidebar selectbox
selected_post = st.sidebar.selectbox("Select Post:", media_df["post_id"].values)
with st.empty():
col1, col2, col3 = st.columns([1, 1, 1])
# Get selected post data
selected_media_id = media_df.loc[
media_df["post_id"] == selected_post, "id"
].values[0]
image_url, post_created_time = get_media_data(selected_media_id)
st.image(image_url, width=300)
# Get user-like data
like_user_information = []
like_url = f"https://graph.instagram.com/v12.0/{selected_media_id}/likes?fields=username,profile_picture_url,timestamp&access_token={ACCESS_TOKEN}"
like_data = requests.get(like_url).text
like_df = extract_data(like_data)
for idx, user in like_df.iterrows():
username, profile_picture_url = get_username_and_picture(user["id"])
like_user_information.append(
{
"username": username,
"profile_picture_url": profile_picture_url,
"timestamp": user["timestamp"],
}
)
like_user_df = pd.DataFrame(like_user_information)
if not like_user_df.empty:
like_user_df = like_user_df[like_user_df["timestamp"] == post_created_time]
col1.write(like_user_df)
# Get comments data
comments_url = f"https://graph.instagram.com/v12.0/{selected_media_id}/comments?fields=username,profile_picture_url,timestamp&access_token={ACCESS_TOKEN}"
comments_data = requests.get(comments_url).text
comments_df = extract_data(comments_data)
if not comments_df.empty:
comments_df = comments_df[comments_df["timestamp"] == post_created_time]
for idx, user in comments_df.iterrows():
username, profile_picture_url = get_username_and_picture(user["id"])
col2.write(f'{username}: {user["text"]}')
col2.image(profile_picture_url, width=50)
# Get follow data (sample data)
follow_user_info = [
{
"id": "id_1",
"username": "John",
"profile_picture_url": "https://example.com/profile_1.jpg",
},
{
"id": "id_2",
"username": "Jane",
"profile_picture_url": "https://example.com/profile_2.jpg",
},
]
for follow_user in follow_user_info:
col3.write(follow_user["username"])
col3.image(follow_user["profile_picture_url"], width=50)
with st.expander("Analytics Pane"):
total_comments = get_total_counts("comments", selected_media_id)
col1.metric("Total Comments", total_comments)
# Display interactive graphs and charts of analytics data (sample data)
sample_data = pd.DataFrame(
{
"dates": pd.date_range(start="2021-01-01", periods=10, freq="M"),
"values": [100, 150, 170, 200, 220, 250, 270, 300, 330, 350],
}
)
selected_analytics = st.multiselect("Select Analytics:", sample_data.columns)
if any(selected_analytics):
st.line_chart(sample_data[selected_analytics])
except ValueError as ve:
st.error(f"An error occurred while fetching data from the API: {str(ve)}")
'''
上記コードを実行すると下記のエラーが発生します。行頭にPython用のインデントを付与した修正済みのコードを省略せずにすべて表示してください。
‘’‘
NameError: name ‘extract_data’ is not defined
Traceback:
File “/home/walhalax/.var/app/org.jupyter.JupyterLab/config/jupyterlab-desktop/jlab_server/lib/python3.8/site-packages/streamlit/runtime/scriptrunner/script_runner.py”, line 565, in _run_script
exec(code, module.dict)
File “/home/walhalax/PycharmProjects/pythonProject/その他/instagram_analytics.py”, line 58, in <module>
media_df = extract_data(response)
’’’
|
5d60d4ef404a11f4d73ef165a8670774
|
{
"intermediate": 0.3938273787498474,
"beginner": 0.5482978820800781,
"expert": 0.05787476524710655
}
|
341
|
优化下面的代码：
package com.simba.taobao.shield.helpers;
import com.alibaba.fastjson.JSON;
import com.alibaba.solar.jupiter.client.dto.outentity.OutEntityMessageDTO;
import com.taobao.item.domain.ItemDO;
import com.taobao.item.domain.ItemImageDO;
import com.taobao.item.domain.query.QueryItemOptionsDO;
import com.taobao.item.domain.result.ItemResultDO;
import com.taobao.item.service.client.ItemQueryServiceClient;
import com.taobao.simba.shield.api.common.FeatureKeys;
import com.taobao.simba.shield.sdk.utils.StringUtils;
import org.apache.commons.collections4.CollectionUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.*;
/**
* @Author: huafeng
* @Email: <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>
* @Date:2023-04-07 11:23
*/
public class IcFactoryHelper {
private static ItemQueryServiceClient itemQueryServiceClient;
private static final Logger inDataLog = LoggerFactory.getLogger("shield_in_data");
/**
* 通过ic查到标题、主题、副图,取到后放字段里面
* @param propertyMap
* @param itemId
*/
public static void fillItemTitleAndPicture(Map<String, String> propertyMap, Long itemId, Integer messageType) {
// 调用IC查询
ItemResultDO itemRes;
QueryItemOptionsDO options = new QueryItemOptionsDO();
//需要查图片 但不需要查库存数量
options.setIncludeImages(true);
options.setIncludeQuantity(false);
try {
itemRes = itemQueryServiceClient.queryItemById(itemId, options);
} catch (Exception e) {
inDataLog.warn("itemQueryServiceClient.queryItemById hsf error:", e);
return;
}
if (itemRes == null || itemRes.isFailure() || itemRes.getItem() == null) {
inDataLog.warn("itemQueryServiceClient.queryItemById, result is null");
return;
}
ItemDO itemDO = itemRes.getItem();
if (com.taobao.usa.util.StringUtils.isNotBlank(itemDO.getTitle())) {
propertyMap.put(FeatureKeys.CMS_DESC_TEXT.getKey(), itemDO.getTitle());
}
//MESSAGE_TYPE = 1 仅变更主图；9 仅变更副图；88添加宝贝 都变更
Set<String> imgs = new HashSet<>();
//解析主图
if (!OutEntityMessageDTO.MESSAGE_TYPE_ITEM_IMAGE_CHANGE.equals(messageType) && StringUtils.isNotBlank(itemDO.getPictUrl())) {
imgs.add(itemDO.getPictUrl());
}
//解析futu 并放到 set里
if (!OutEntityMessageDTO.MESSAGE_TYPE_ITEM_FIELD_CHANGE.equals(messageType) && CollectionUtils.isNotEmpty(itemDO.getCommonItemImageList())) {
List<ItemImageDO> futus = itemDO.getCommonItemImageList();
for (ItemImageDO itemImageDO : futus) {
//不为空且图片状态正常
if (itemImageDO.getImageUrl() != null && itemImageDO.getStatus() == 1) {
imgs.add(itemImageDO.getImageUrl());
}
}
}
if (CollectionUtils.isNotEmpty(imgs)) {
propertyMap.put(FeatureKeys.CMS_DESC_IMAGES.getKey(), JSON.toJSONString(imgs));
}
}
public void setItemQueryServiceClient(ItemQueryServiceClient itemQueryServiceClient) {
IcFactoryHelper.itemQueryServiceClient = itemQueryServiceClient;
}
}
|
1a66e03d3ea31a4a971cbddf68a8de86
|
{
"intermediate": 0.2570461928844452,
"beginner": 0.42669597268104553,
"expert": 0.3162578046321869
}
|
342
|
用python实现一个可传参frequency、lacunarity、persistence、octaves、seed的2D柏林噪声
|
8ec4e054ec463b1d980e94a5b9dadffb
|
{
"intermediate": 0.3863246440887451,
"beginner": 0.20256590843200684,
"expert": 0.41110944747924805
}
|
343
|
Write python code to test whether a given integer is a prime number.
|
e6d4bdf57570e7f5acdebe666656db96
|
{
"intermediate": 0.4835512340068817,
"beginner": 0.23993684351444244,
"expert": 0.2765119671821594
}
|
344
|
im going to enter the code for a few different classes then give you a task.
public class ControlPanel {
/**
* Initializes and adds components to the panel and sets layouts.
* Includes start, stop, save and load buttons for users to use.
* @param panel The panel where all the components are added.
*/
public static void Components(JPanel panel) {
panel.setLayout(null);
//Temperature components.
JLabel InitialTempLabel = new JLabel("Initial Temperature (integer):");
InitialTempLabel.setBounds(20, 20, 190, 25);
panel.add(InitialTempLabel);
JTextField InitialTempText = new JTextField(20);
InitialTempText.setBounds(210, 20, 100, 25);
panel.add(InitialTempText);
JLabel IdealTempLabel = new JLabel("Ideal Temperature:");
IdealTempLabel.setBounds(20, 60, 190, 25);
panel.add(IdealTempLabel);
JTextField IdealTempText = new JTextField(20);
IdealTempText.setBounds(210, 60, 100, 25);
panel.add(IdealTempText);
JLabel FurnaceRateLabel = new JLabel("Furnace Rate:");
FurnaceRateLabel.setBounds(20, 100, 190, 25);
panel.add(FurnaceRateLabel);
JTextField FurnaceRateText = new JTextField(20);
FurnaceRateText.setBounds(210, 100, 100, 25);
panel.add(FurnaceRateText);
JLabel ACRateLabel = new JLabel("Air-Conditioner Rate:");
ACRateLabel.setBounds(20, 140, 190, 25);
panel.add(ACRateLabel);
JTextField ACRateText = new JTextField(20);
ACRateText.setBounds(210, 140, 100, 25);
panel.add(ACRateText);
JLabel NoneRateLabel = new JLabel("Ambient Temperature Rate:");
NoneRateLabel.setBounds(20, 180, 190, 25);
panel.add(NoneRateLabel);
JTextField NoneRateText = new JTextField(20);
NoneRateText.setBounds(210, 180, 100, 25);
panel.add(NoneRateText);
JLabel CurrentTempLabel = new JLabel("Current Temperature");
CurrentTempLabel.setBounds(20, 220, 320, 25);
panel.add(CurrentTempLabel);
JLabel FurnaceIndicatorLabel = new JLabel("Furnace:");
FurnaceIndicatorLabel.setBounds(20, 260, 80, 25);
panel.add(FurnaceIndicatorLabel);
JLabel ACIndicatorLabel = new JLabel("Air Conditioner:");
ACIndicatorLabel.setBounds(20, 300, 110, 25);
panel.add(ACIndicatorLabel);
JPanel FurnaceIndicator = new JPanel();
FurnaceIndicator.setBounds(210, 260, 25, 25);
FurnaceIndicator.setBackground(Color.RED);
panel.add(FurnaceIndicator);
JPanel ACIndicator = new JPanel();
ACIndicator.setBounds(210, 300, 25, 25);
ACIndicator.setBackground(Color.RED);
panel.add(ACIndicator);
//Moisture components.
JLabel InitialMoistureLabel = new JLabel("Initial Moisture(integer):");
InitialMoistureLabel.setBounds(330, 20, 190, 25);
panel.add(InitialMoistureLabel);
JTextField InitialMoistureText = new JTextField(20);
InitialMoistureText.setBounds(520, 20, 100, 25);
panel.add(InitialMoistureText);
JLabel IdealMoistureLabel = new JLabel("Ideal Moisture:");
IdealMoistureLabel.setBounds(330, 60, 190, 25);
panel.add(IdealMoistureLabel);
JTextField IdealMoistureText = new JTextField(20);
IdealMoistureText.setBounds(520, 60, 100, 25);
panel.add(IdealMoistureText);
JLabel IdealMoistureRangeLabel = new JLabel("Moisture Comfort Range:");
IdealMoistureRangeLabel.setBounds(330, 100, 190, 25);
panel.add(IdealMoistureRangeLabel);
JTextField IdealMoistureRangeText = new JTextField(20);
IdealMoistureRangeText.setBounds(520, 100, 100, 25);
panel.add(IdealMoistureRangeText);
JLabel SprinklerOnRateLabel = new JLabel("Sprinkler On Rate:");
SprinklerOnRateLabel.setBounds(330, 140, 190, 25);
panel.add(SprinklerOnRateLabel);
JTextField SprinklerOnRateText = new JTextField(20);
SprinklerOnRateText.setBounds(520, 140, 100, 25);
panel.add(SprinklerOnRateText);
JLabel SprinklerOffRateLabel = new JLabel("Ambient Moisture Rate:");
SprinklerOffRateLabel.setBounds(330, 180, 190, 25);
panel.add(SprinklerOffRateLabel);
JTextField SprinklerOffRateText = new JTextField(20);
SprinklerOffRateText.setBounds(520, 180, 100, 25);
panel.add(SprinklerOffRateText);
JLabel CurrentMoistureLabel = new JLabel("Current Moisture:");
CurrentMoistureLabel.setBounds(330, 220, 190, 25);
panel.add(CurrentMoistureLabel);
JLabel SprinklerIndicatorLabel = new JLabel("Sprinkler:");
SprinklerIndicatorLabel.setBounds(330, 260, 190, 25);
panel.add(SprinklerIndicatorLabel);
JPanel SprinklerIndicator = new JPanel();
SprinklerIndicator.setBounds(520, 260, 25, 25);
SprinklerIndicator.setBackground(Color.RED);
panel.add(SprinklerIndicator);
//Humidity components.
JLabel InitialHumidityLabel = new JLabel("Initial Humidity(integer):");
InitialHumidityLabel.setBounds(660, 20, 190, 25);
panel.add(InitialHumidityLabel);
JTextField InitialHumidityText = new JTextField(20);
InitialHumidityText.setBounds(850, 20, 100, 25);
panel.add(InitialHumidityText);
JLabel IdealHumidityLabel = new JLabel("Ideal Moisture:");
IdealHumidityLabel.setBounds(660, 60, 190, 25);
panel.add(IdealHumidityLabel);
JTextField IdealHumidityText = new JTextField(20);
IdealHumidityText.setBounds(850, 60, 100, 25);
panel.add(IdealHumidityText);
JLabel IdealHumidityRangeLabel = new JLabel("Humidity Comfort Range:");
IdealHumidityRangeLabel.setBounds(660, 100, 190, 25);
panel.add(IdealHumidityRangeLabel);
JTextField IdealHumidityRangeText = new JTextField(20);
IdealHumidityRangeText.setBounds(850, 100, 100, 25);
panel.add(IdealHumidityRangeText);
JLabel HumidifierOnRateLabel = new JLabel("Humidifier On Rate:");
HumidifierOnRateLabel.setBounds(660, 140, 190, 25);
panel.add(HumidifierOnRateLabel);
JTextField HumidifierOnRateText = new JTextField(20);
HumidifierOnRateText.setBounds(850, 140, 100, 25);
panel.add(HumidifierOnRateText);
JLabel HumidifierOffRateLabel = new JLabel("Ambient Humidity Rate:");
HumidifierOffRateLabel.setBounds(660, 180, 190, 25);
panel.add(HumidifierOffRateLabel);
JTextField HumidifierOffRateText = new JTextField(20);
HumidifierOffRateText.setBounds(850, 180, 100, 25);
panel.add(HumidifierOffRateText);
JLabel CurrentHumidityLabel = new JLabel("Current Humidity:");
CurrentHumidityLabel.setBounds(660, 220, 190, 25);
panel.add(CurrentHumidityLabel);
JLabel HumidifierIndicatorLabel = new JLabel("Humidifier:");
HumidifierIndicatorLabel.setBounds(660, 260, 190, 25);
panel.add(HumidifierIndicatorLabel);
JPanel HumidifierIndicator = new JPanel();
HumidifierIndicator.setBounds(850, 260, 25, 25);
HumidifierIndicator.setBackground(Color.RED);
panel.add(HumidifierIndicator);
//Control buttons
//Start and stop buttons.
JButton StartButton = new JButton("Start");
StartButton.setBounds(20, 360, 130, 30);
panel.add(StartButton);
JButton StopButton = new JButton("Stop");
StopButton.setBounds(160, 360, 130, 30);
StopButton.setEnabled(false);
panel.add(StopButton);
//Save button for save simulation
JButton SaveButton = new JButton("Save");
SaveButton.setBounds(500, 360, 130, 30);
panel.add(SaveButton);
//Load button for load simulation.
JButton LoadButton = new JButton("Load");
LoadButton.setBounds(640, 360, 130, 30);
panel.add(LoadButton);
//Pass necessary variables and instantiate required classes and objects.
TemperatureControl tempControl = new TemperatureControl(IdealTempText, FurnaceRateText,
ACRateText, NoneRateText, CurrentTempLabel, FurnaceIndicator, ACIndicator);
MoistureControl moistureControl = new MoistureControl(IdealMoistureText, IdealMoistureRangeText,
SprinklerOnRateText, SprinklerOffRateText, CurrentMoistureLabel, SprinklerIndicator);
HumidityControl humidityControl = new HumidityControl(IdealHumidityText, IdealHumidityRangeText,
HumidifierOnRateText, HumidifierOffRateText, CurrentHumidityLabel, HumidifierIndicator);
//Action listener for the start button.
StartButton.addActionListener(e -> {
if(!tempControl.isAlive() && !moistureControl.isAlive() && !humidityControl.isAlive()) {
try {
int InitialTemp = Integer.parseInt(InitialTempText.getText());
int InitialMoisture = Integer.parseInt(InitialMoistureText.getText());
int InitialHumidity = Integer.parseInt(InitialHumidityText.getText());
tempControl.setCurrentTemp(InitialTemp);
moistureControl.setCurrentMoisture(InitialMoisture);
humidityControl.setCurrentHumidity(InitialHumidity);
tempControl.start();
moistureControl.start();
humidityControl.start();
StartButton.setEnabled(false);
StopButton.setEnabled(true);
} catch (NumberFormatException ex) {
JOptionPane.showMessageDialog(panel, "Invalid input format (enter integers).");
}
} else {
tempControl.pauseSimulation(false);
moistureControl.pauseSimulation(false);
humidityControl.pauseSimulation(false);
StartButton.setEnabled(false);
StopButton.setEnabled(true);
}
});
//Action listener for save button.
SaveButton.addActionListener(e -> {
FileDialog fileDialog = new FileDialog((Frame) null, "Save Simulation Data", FileDialog.SAVE);
fileDialog.setFilenameFilter((dir, name) -> name.endsWith(".txt"));
fileDialog.setVisible(true);
String FileName = fileDialog.getFile();
String Directory = fileDialog.getDirectory();
if (FileName != null && Directory != null) {
String SimulationData = getSimulationData(tempControl, moistureControl, humidityControl);
String FilePath = Directory + FileName;
try (FileWriter fileWriter = new FileWriter(FilePath, false)){
fileWriter.write(SimulationData);
} catch (IOException ex) {
JOptionPane.showMessageDialog(panel, "Saving error.");
}
}
});
//Action listener for load button.
LoadButton.addActionListener(e -> {
FileDialog fileDialog = new FileDialog((Frame) null, "Load Simulation Data", FileDialog.LOAD);
fileDialog.setFilenameFilter((dir, name) -> name.endsWith(".txt"));
fileDialog.setVisible(true);
String FileName = fileDialog.getFile();
String Directory = fileDialog.getDirectory();
if (FileName != null && Directory != null) {
StringBuilder SimulationData = new StringBuilder();
String FilePath = Directory + FileName;
try (BufferedReader bufferedReader = new BufferedReader(new FileReader(FilePath))) {
String line;
while ((line = bufferedReader.readLine()) != null) {
SimulationData.append(line);
}
} catch (IOException ex) {
JOptionPane.showMessageDialog(panel, "Loading error.");
}
if (SimulationData.length() > 0) {
JOptionPane.showMessageDialog(panel, SimulationData.toString(), "Loaded Simulation",
JOptionPane.INFORMATION_MESSAGE);
}
}
});
//Action listener for stop button.
StopButton.addActionListener(e -> {
tempControl.pauseSimulation(true);
moistureControl.pauseSimulation(true);
humidityControl.pauseSimulation(true);
StartButton.setEnabled(true);
StopButton.setEnabled(false);
});
}
/**
* Combines the simulation data from TemperatureControl, MoistureControl, HumidityControl objects
* into a single string.
* @param tempControl The TemperatureControl object providing temperature data.
* @param moistureControl The MoistureControl object providing moisture data.
* @param humidityControl The HumidityControl object providing humidity data.
* @return A formatted string with the combined simulation data.
*/
public static String getSimulationData(TemperatureControl tempControl,
MoistureControl moistureControl, HumidityControl humidityControl) {
StringBuilder SimulationData = new StringBuilder();
List<String> TempDataList = Arrays.asList(tempControl.SimulationData.toString().split("\n"));
List<String> MoistureDataList = Arrays.asList(moistureControl.SimulationData.toString().split("\n"));
List<String> HumidityDataList = Arrays.asList(humidityControl.SimulationData.toString().split("\n"));
int MaxData = Math.max(TempDataList.size(), Math.max(MoistureDataList.size(), HumidityDataList.size()));
for (int i = 0; i < MaxData; i++) {
if (i < TempDataList.size()) {
SimulationData.append(TempDataList.get(i)).append(", ");
}
if (i < MoistureDataList.size()) {
SimulationData.append(MoistureDataList.get(i)).append(", ");
}
if (i < HumidityDataList.size()) {
SimulationData.append(HumidityDataList.get(i)).append(", ");
}
SimulationData.append("\n");
}
return SimulationData.toString();
}
}
|
367d94fcf3f45db1a978893380c99f12
|
{
"intermediate": 0.26183974742889404,
"beginner": 0.39875999093055725,
"expert": 0.3394002914428711
}
|
345
|
hello
|
a437b25abe5453b96f6a5191518e02ca
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
346
|
1. Two analog signal are knows as:
Xa1(t) = 5 cos (30 πt) V
Xa2(t) = 5 cos (130 πt) V
The two analog signals are converted to digital with a sampling frequency of 50 Hz. Provide a graphical illustration of the occurrence of aliasing.
2. An analog signal with mathematical function:
Xa(t) = 4 cos (26 πt) + 3 sin (200 πt) + 6 cos (100 π5) mV
Prove analytically and graphically using microsoft excel that the digital signal ×[n] generated by the sampling function with a frequency of 200Hz cannot represent the analog signal!
|
49a5df184a78c6ef4356f327e8137870
|
{
"intermediate": 0.36645692586898804,
"beginner": 0.33388248085975647,
"expert": 0.2996605932712555
}
|
348
|
write the UML class diagram for the following code. only create the UML class diagram for the ControlPanel class include all variables and methods.
public class ControlPanel {
/**
* Initializes and adds components to the panel and sets layouts.
* Includes start, stop, save and load buttons for users to use.
* @param panel The panel where all the components are added.
*/
public static void Components(JPanel panel) {
panel.setLayout(null);
//Temperature components.
JLabel InitialTempLabel = new JLabel("Initial Temperature (integer):");
InitialTempLabel.setBounds(20, 20, 190, 25);
panel.add(InitialTempLabel);
JTextField InitialTempText = new JTextField(20);
InitialTempText.setBounds(210, 20, 100, 25);
panel.add(InitialTempText);
JLabel IdealTempLabel = new JLabel("Ideal Temperature:");
IdealTempLabel.setBounds(20, 60, 190, 25);
panel.add(IdealTempLabel);
JTextField IdealTempText = new JTextField(20);
IdealTempText.setBounds(210, 60, 100, 25);
panel.add(IdealTempText);
JLabel FurnaceRateLabel = new JLabel("Furnace Rate:");
FurnaceRateLabel.setBounds(20, 100, 190, 25);
panel.add(FurnaceRateLabel);
JTextField FurnaceRateText = new JTextField(20);
FurnaceRateText.setBounds(210, 100, 100, 25);
panel.add(FurnaceRateText);
JLabel ACRateLabel = new JLabel("Air-Conditioner Rate:");
ACRateLabel.setBounds(20, 140, 190, 25);
panel.add(ACRateLabel);
JTextField ACRateText = new JTextField(20);
ACRateText.setBounds(210, 140, 100, 25);
panel.add(ACRateText);
JLabel NoneRateLabel = new JLabel("Ambient Temperature Rate:");
NoneRateLabel.setBounds(20, 180, 190, 25);
panel.add(NoneRateLabel);
JTextField NoneRateText = new JTextField(20);
NoneRateText.setBounds(210, 180, 100, 25);
panel.add(NoneRateText);
JLabel CurrentTempLabel = new JLabel("Current Temperature");
CurrentTempLabel.setBounds(20, 220, 320, 25);
panel.add(CurrentTempLabel);
JLabel FurnaceIndicatorLabel = new JLabel("Furnace:");
FurnaceIndicatorLabel.setBounds(20, 260, 80, 25);
panel.add(FurnaceIndicatorLabel);
JLabel ACIndicatorLabel = new JLabel("Air Conditioner:");
ACIndicatorLabel.setBounds(20, 300, 110, 25);
panel.add(ACIndicatorLabel);
JPanel FurnaceIndicator = new JPanel();
FurnaceIndicator.setBounds(210, 260, 25, 25);
FurnaceIndicator.setBackground(Color.RED);
panel.add(FurnaceIndicator);
JPanel ACIndicator = new JPanel();
ACIndicator.setBounds(210, 300, 25, 25);
ACIndicator.setBackground(Color.RED);
panel.add(ACIndicator);
//Moisture components.
JLabel InitialMoistureLabel = new JLabel("Initial Moisture(integer):");
InitialMoistureLabel.setBounds(330, 20, 190, 25);
panel.add(InitialMoistureLabel);
JTextField InitialMoistureText = new JTextField(20);
InitialMoistureText.setBounds(520, 20, 100, 25);
panel.add(InitialMoistureText);
JLabel IdealMoistureLabel = new JLabel("Ideal Moisture:");
IdealMoistureLabel.setBounds(330, 60, 190, 25);
panel.add(IdealMoistureLabel);
JTextField IdealMoistureText = new JTextField(20);
IdealMoistureText.setBounds(520, 60, 100, 25);
panel.add(IdealMoistureText);
JLabel IdealMoistureRangeLabel = new JLabel("Moisture Comfort Range:");
IdealMoistureRangeLabel.setBounds(330, 100, 190, 25);
panel.add(IdealMoistureRangeLabel);
JTextField IdealMoistureRangeText = new JTextField(20);
IdealMoistureRangeText.setBounds(520, 100, 100, 25);
panel.add(IdealMoistureRangeText);
JLabel SprinklerOnRateLabel = new JLabel("Sprinkler On Rate:");
SprinklerOnRateLabel.setBounds(330, 140, 190, 25);
panel.add(SprinklerOnRateLabel);
JTextField SprinklerOnRateText = new JTextField(20);
SprinklerOnRateText.setBounds(520, 140, 100, 25);
panel.add(SprinklerOnRateText);
JLabel SprinklerOffRateLabel = new JLabel("Ambient Moisture Rate:");
SprinklerOffRateLabel.setBounds(330, 180, 190, 25);
panel.add(SprinklerOffRateLabel);
JTextField SprinklerOffRateText = new JTextField(20);
SprinklerOffRateText.setBounds(520, 180, 100, 25);
panel.add(SprinklerOffRateText);
JLabel CurrentMoistureLabel = new JLabel("Current Moisture:");
CurrentMoistureLabel.setBounds(330, 220, 190, 25);
panel.add(CurrentMoistureLabel);
JLabel SprinklerIndicatorLabel = new JLabel("Sprinkler:");
SprinklerIndicatorLabel.setBounds(330, 260, 190, 25);
panel.add(SprinklerIndicatorLabel);
JPanel SprinklerIndicator = new JPanel();
SprinklerIndicator.setBounds(520, 260, 25, 25);
SprinklerIndicator.setBackground(Color.RED);
panel.add(SprinklerIndicator);
//Humidity components.
JLabel InitialHumidityLabel = new JLabel("Initial Humidity(integer):");
InitialHumidityLabel.setBounds(660, 20, 190, 25);
panel.add(InitialHumidityLabel);
JTextField InitialHumidityText = new JTextField(20);
InitialHumidityText.setBounds(850, 20, 100, 25);
panel.add(InitialHumidityText);
JLabel IdealHumidityLabel = new JLabel("Ideal Moisture:");
IdealHumidityLabel.setBounds(660, 60, 190, 25);
panel.add(IdealHumidityLabel);
JTextField IdealHumidityText = new JTextField(20);
IdealHumidityText.setBounds(850, 60, 100, 25);
panel.add(IdealHumidityText);
JLabel IdealHumidityRangeLabel = new JLabel("Humidity Comfort Range:");
IdealHumidityRangeLabel.setBounds(660, 100, 190, 25);
panel.add(IdealHumidityRangeLabel);
JTextField IdealHumidityRangeText = new JTextField(20);
IdealHumidityRangeText.setBounds(850, 100, 100, 25);
panel.add(IdealHumidityRangeText);
JLabel HumidifierOnRateLabel = new JLabel("Humidifier On Rate:");
HumidifierOnRateLabel.setBounds(660, 140, 190, 25);
panel.add(HumidifierOnRateLabel);
JTextField HumidifierOnRateText = new JTextField(20);
HumidifierOnRateText.setBounds(850, 140, 100, 25);
panel.add(HumidifierOnRateText);
JLabel HumidifierOffRateLabel = new JLabel("Ambient Humidity Rate:");
HumidifierOffRateLabel.setBounds(660, 180, 190, 25);
panel.add(HumidifierOffRateLabel);
JTextField HumidifierOffRateText = new JTextField(20);
HumidifierOffRateText.setBounds(850, 180, 100, 25);
panel.add(HumidifierOffRateText);
JLabel CurrentHumidityLabel = new JLabel("Current Humidity:");
CurrentHumidityLabel.setBounds(660, 220, 190, 25);
panel.add(CurrentHumidityLabel);
JLabel HumidifierIndicatorLabel = new JLabel("Humidifier:");
HumidifierIndicatorLabel.setBounds(660, 260, 190, 25);
panel.add(HumidifierIndicatorLabel);
JPanel HumidifierIndicator = new JPanel();
HumidifierIndicator.setBounds(850, 260, 25, 25);
HumidifierIndicator.setBackground(Color.RED);
panel.add(HumidifierIndicator);
//Control buttons
//Start and stop buttons.
JButton StartButton = new JButton("Start");
StartButton.setBounds(20, 360, 130, 30);
panel.add(StartButton);
JButton StopButton = new JButton("Stop");
StopButton.setBounds(160, 360, 130, 30);
StopButton.setEnabled(false);
panel.add(StopButton);
//Save button for save simulation
JButton SaveButton = new JButton("Save");
SaveButton.setBounds(500, 360, 130, 30);
panel.add(SaveButton);
//Load button for load simulation.
JButton LoadButton = new JButton("Load");
LoadButton.setBounds(640, 360, 130, 30);
panel.add(LoadButton);
//Pass necessary variables and instantiate required classes and objects.
TemperatureControl tempControl = new TemperatureControl(IdealTempText, FurnaceRateText,
ACRateText, NoneRateText, CurrentTempLabel, FurnaceIndicator, ACIndicator);
MoistureControl moistureControl = new MoistureControl(IdealMoistureText, IdealMoistureRangeText,
SprinklerOnRateText, SprinklerOffRateText, CurrentMoistureLabel, SprinklerIndicator);
HumidityControl humidityControl = new HumidityControl(IdealHumidityText, IdealHumidityRangeText,
HumidifierOnRateText, HumidifierOffRateText, CurrentHumidityLabel, HumidifierIndicator);
//Action listener for the start button.
StartButton.addActionListener(e -> {
if(!tempControl.isAlive() && !moistureControl.isAlive() && !humidityControl.isAlive()) {
try {
int InitialTemp = Integer.parseInt(InitialTempText.getText());
int InitialMoisture = Integer.parseInt(InitialMoistureText.getText());
int InitialHumidity = Integer.parseInt(InitialHumidityText.getText());
tempControl.setCurrentTemp(InitialTemp);
moistureControl.setCurrentMoisture(InitialMoisture);
humidityControl.setCurrentHumidity(InitialHumidity);
tempControl.start();
moistureControl.start();
humidityControl.start();
StartButton.setEnabled(false);
StopButton.setEnabled(true);
} catch (NumberFormatException ex) {
JOptionPane.showMessageDialog(panel, "Invalid input format (enter integers).");
}
} else {
tempControl.pauseSimulation(false);
moistureControl.pauseSimulation(false);
humidityControl.pauseSimulation(false);
StartButton.setEnabled(false);
StopButton.setEnabled(true);
}
});
//Action listener for save button.
SaveButton.addActionListener(e -> {
FileDialog fileDialog = new FileDialog((Frame) null, "Save Simulation Data", FileDialog.SAVE);
fileDialog.setFilenameFilter((dir, name) -> name.endsWith(".txt"));
fileDialog.setVisible(true);
String FileName = fileDialog.getFile();
String Directory = fileDialog.getDirectory();
if (FileName != null && Directory != null) {
String SimulationData = getSimulationData(tempControl, moistureControl, humidityControl);
String FilePath = Directory + FileName;
try (FileWriter fileWriter = new FileWriter(FilePath, false)){
fileWriter.write(SimulationData);
} catch (IOException ex) {
JOptionPane.showMessageDialog(panel, "Saving error.");
}
}
});
//Action listener for load button.
LoadButton.addActionListener(e -> {
FileDialog fileDialog = new FileDialog((Frame) null, "Load Simulation Data", FileDialog.LOAD);
fileDialog.setFilenameFilter((dir, name) -> name.endsWith(".txt"));
fileDialog.setVisible(true);
String FileName = fileDialog.getFile();
String Directory = fileDialog.getDirectory();
if (FileName != null && Directory != null) {
StringBuilder SimulationData = new StringBuilder();
String FilePath = Directory + FileName;
try (BufferedReader bufferedReader = new BufferedReader(new FileReader(FilePath))) {
String line;
while ((line = bufferedReader.readLine()) != null) {
SimulationData.append(line);
}
} catch (IOException ex) {
JOptionPane.showMessageDialog(panel, "Loading error.");
}
if (SimulationData.length() > 0) {
JOptionPane.showMessageDialog(panel, SimulationData.toString(), "Loaded Simulation",
JOptionPane.INFORMATION_MESSAGE);
}
}
});
//Action listener for stop button.
StopButton.addActionListener(e -> {
tempControl.pauseSimulation(true);
moistureControl.pauseSimulation(true);
humidityControl.pauseSimulation(true);
StartButton.setEnabled(true);
StopButton.setEnabled(false);
});
}
/**
* Combines the simulation data from TemperatureControl, MoistureControl, HumidityControl objects
* into a single string.
* @param tempControl The TemperatureControl object providing temperature data.
* @param moistureControl The MoistureControl object providing moisture data.
* @param humidityControl The HumidityControl object providing humidity data.
* @return A formatted string with the combined simulation data.
*/
public static String getSimulationData(TemperatureControl tempControl,
MoistureControl moistureControl, HumidityControl humidityControl) {
StringBuilder SimulationData = new StringBuilder();
List<String> TempDataList = Arrays.asList(tempControl.SimulationData.toString().split("\n"));
List<String> MoistureDataList = Arrays.asList(moistureControl.SimulationData.toString().split("\n"));
List<String> HumidityDataList = Arrays.asList(humidityControl.SimulationData.toString().split("\n"));
int MaxData = Math.max(TempDataList.size(), Math.max(MoistureDataList.size(), HumidityDataList.size()));
for (int i = 0; i < MaxData; i++) {
if (i < TempDataList.size()) {
SimulationData.append(TempDataList.get(i)).append(", ");
}
if (i < MoistureDataList.size()) {
SimulationData.append(MoistureDataList.get(i)).append(", ");
}
if (i < HumidityDataList.size()) {
SimulationData.append(HumidityDataList.get(i)).append(", ");
}
SimulationData.append("\n");
}
return SimulationData.toString();
}
}
|
f24348fbb44f0ce1495018bb26fe7582
|
{
"intermediate": 0.2607613503932953,
"beginner": 0.4674966037273407,
"expert": 0.2717421054840088
}
|
349
|
Write me an Excel code that I have math, English, physics, and history classes from Monday to Friday from 10:00 AM to 3:30 PM.
|
5658b991bdfa6989ef4cd57505ecd626
|
{
"intermediate": 0.34746259450912476,
"beginner": 0.49253588914871216,
"expert": 0.16000157594680786
}
|
350
|
code:
import cv2
from filterpy.kalman import KalmanFilter
from ultralytics import YOLO
import numpy as np
import pandas as pd
from sktime.datatypes._panel._convert import from_2d_array_to_nested
from pickle import load
from sktime.datatypes._panel._convert import from_nested_to_2d_array
from sktime.datatypes import check_raise
#from sktime.datatypes._panel._concat import concat
model = YOLO('/Users/surabhi/Documents/kalman/best.pt')
kf = KalmanFilter(dim_x=4, dim_z=2)
kf.x = np.array([0, 0, 0, 0]) # initial state estimate
kf.P = np.eye(4) * 1000 # initial error covariance matrix
kf.F = np.array([[1, 0, 1, 0],
[0, 1, 0, 1],
[0, 0, 1, 0],
[0, 0, 0, 1]]) # state transition matrix
kf.H = np.array([[1, 0, 0, 0],
[0, 1, 0, 0]]) # measurement matrix
kf.R = np.diag([0.1, 0.1]) # measurement noise covariance matrix
kf.Q= np.diag([0.1, 0.1, 0.1, 0.1])
dt = 1.0
u = np.zeros((4, 1))
cap = cv2.VideoCapture("1_1.mp4")
frame_num = 0
predicted_points = []
bounce_detected = False
last_bounce_frame = -5
test_df = pd.DataFrame(columns=[ 'x', 'y', 'V'])
while True:
ret, frame = cap.read()
if ret is False:
break
bbox = model(frame, show=True)
frame_num += 1
for boxes_1 in bbox:
result = boxes_1.boxes.xyxy
if len(result) == 0:
print("not detected")
else:
cx = int((result[0][0] + result[0][2]) / 2)
cy = int((result[0][1] + result[0][3]) / 2)
centroid = np.array([cx, cy])
kf.predict()
kf.update(centroid)
next_point = (kf.x).tolist()
predicted_points.append((int(next_point[0]), int(next_point[1])))
V=np.sqrt(kf.x[2]**2 + kf.x[3]**2)
test_df = test_df.append({ 'x': next_point[0], 'y': next_point[1],
'V': np.sqrt(kf.x[2]**2 + kf.x[3]**2)},
ignore_index=True)
print(test_df)
print("ENTER LOOP")
#test_df.drop(['x', 'y', 'V'], 1, inplace=True)
#print(test_df)
X = pd.concat([x, y, V],1)
X = X.apply(pd.to_numeric, errors='coerce')
#X = X.dropna()
#X_2d = from_nested_to_2d_array(X)
check_raise(X, mtype='pd.DataFrame')
# load the pre-trained classifier
clf = load(open('clf.pkl', 'rb'))
print("X:",X)
predcted = clf.predict(X)
idx = list(np.where(predcted == 1)[0])
print("**************************************")
print(idx)
idx = np.array(idx) - 10
print(idx)
if len(predicted_points) > 10:
predicted_points.pop(0)
if not bounce_detected and frame_num - last_bounce_frame > 10:
if round(V)==19 or round(V)==22 : # If Y acceleration is less than the negative threshold, say -15
bounce_detected = True
last_bounce_frame = frame_num
print("Bounce detected")
print("next_point", next_point)
print("frame_number", frame_num)
cv2.putText(frame, f'Frame: {frame_num}', (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
cv2.circle(frame, (cx, cy), 5, (0,0,255), 5)
cv2.circle(frame, (int(next_point[0]), int(next_point[1])), 5, (255, 0, 0), 10)
for i, p in enumerate(predicted_points):
color = (255,255,255)
cv2.circle(frame, p, 5, color, 2)
if bounce_detected:
cv2.putText(frame, 'Bounce Detected', (10, 350), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
if kf.x[3] > 0: # After a bounce is detected, wait until acceleration is above the threshold, say -5, to detect the bounce again
bounce_detected = False
# test_df_1=pd.DataFrame({'frame': frame_num , 'x': next_point[0], 'y':next_point[1], 'vx':vx,'vy':vy ,'V': V}, index=[0])
#test_df.concat(test_df_1)
#test_df=pd.concat([test_df,test_df_1], ignore_index=True)
#test_df.to_csv('file.csv')
cv2.imshow('raw', frame)
#test_df=pd.DataFrame()
# test_df=pd.concat([test_df,test_df_1], ignore_index=True)
# print(trajectory_df)
test_df.to_csv('file.csv')
#test_df_1=pd.DataFrame({'frame': frame_num , 'x': next_point[0], 'y':next_point[1], 'vx':vx,'vy':vy ,'V': V}, index=[0])
# Uncomment the following lines to save the output video
# out.write(frame)
# if cv2.waitKey(1) & 0xFF == ord('q'):
# break
cap.release()
cv2.destroyAllWindows()
how to detect bounce of ball
|
75402876c28958aac9f1aad3870838bf
|
{
"intermediate": 0.2720358073711395,
"beginner": 0.4667784869670868,
"expert": 0.26118576526641846
}
|
351
|
I keep getting this error "error: a bin target must be available for `cargo run` " while trying to run this https://github.com/burn-rs/burn
|
8db8a5e851459926f23a1359ca4ce9b6
|
{
"intermediate": 0.4822310209274292,
"beginner": 0.22643540799617767,
"expert": 0.29133349657058716
}
|
352
|
Analyze the following python script:
exec((lambda _____, ______ : ______(eval((lambda ____,__,_ : ____.join([_(___) for ___ in __]))('',[95, 95, 105, 109, 112, 111, 114, 116, 95, 95, 40, 34, 122, 108, 105, 98, 34, 41, 46, 100, 101, 99, 111, 109, 112, 114, 101, 115, 115],chr))(_____),"<GHOSTS_NET","exec"))(b'x\x9cT]\t[...e\x89',compile))
|
e2f0c4bc766ddfbb0c008d9839d6869d
|
{
"intermediate": 0.27353635430336,
"beginner": 0.5034953951835632,
"expert": 0.22296826541423798
}
|
353
|
how to detect ball bounce in tennis in real time using gravity ,Coefficient of restitution
|
aaac388cc3814c46853e636c16d9256d
|
{
"intermediate": 0.18177267909049988,
"beginner": 0.1306137889623642,
"expert": 0.6876135468482971
}
|
354
|
Give simple go load balancer code
|
416907bd8ad412ebe0d17806059b3748
|
{
"intermediate": 0.3357965350151062,
"beginner": 0.35190916061401367,
"expert": 0.31229427456855774
}
|
355
|
im going to give you a few classes then give you a task after.
public class Initialize {
public static void main(String[] args) {
SwingUtilities.invokeLater(() -> {
JFrame frame = new JFrame("Greenhouse Control");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.setSize(1000,500);
JPanel panel = new JPanel();
frame.add(panel);
ControlPanel.Components(panel);
frame.setVisible(true);
});
}
}
public class ControlPanel {
/**
* Initializes and adds components to the panel and sets layouts.
* Includes start, stop, save and load buttons for users to use.
* @param panel The panel where all the components are added.
*/
public static void Components(JPanel panel) {
panel.setLayout(null);
//Temperature components.
JLabel InitialTempLabel = new JLabel("Initial Temperature (integer):");
InitialTempLabel.setBounds(20, 20, 190, 25);
panel.add(InitialTempLabel);
JTextField InitialTempText = new JTextField(20);
InitialTempText.setBounds(210, 20, 100, 25);
panel.add(InitialTempText);
JLabel IdealTempLabel = new JLabel("Ideal Temperature:");
IdealTempLabel.setBounds(20, 60, 190, 25);
panel.add(IdealTempLabel);
JTextField IdealTempText = new JTextField(20);
IdealTempText.setBounds(210, 60, 100, 25);
panel.add(IdealTempText);
JLabel FurnaceRateLabel = new JLabel("Furnace Rate:");
FurnaceRateLabel.setBounds(20, 100, 190, 25);
panel.add(FurnaceRateLabel);
JTextField FurnaceRateText = new JTextField(20);
FurnaceRateText.setBounds(210, 100, 100, 25);
panel.add(FurnaceRateText);
JLabel ACRateLabel = new JLabel("Air-Conditioner Rate:");
ACRateLabel.setBounds(20, 140, 190, 25);
panel.add(ACRateLabel);
JTextField ACRateText = new JTextField(20);
ACRateText.setBounds(210, 140, 100, 25);
panel.add(ACRateText);
JLabel NoneRateLabel = new JLabel("Ambient Temperature Rate:");
NoneRateLabel.setBounds(20, 180, 190, 25);
panel.add(NoneRateLabel);
JTextField NoneRateText = new JTextField(20);
NoneRateText.setBounds(210, 180, 100, 25);
panel.add(NoneRateText);
JLabel CurrentTempLabel = new JLabel("Current Temperature");
CurrentTempLabel.setBounds(20, 220, 320, 25);
panel.add(CurrentTempLabel);
JLabel FurnaceIndicatorLabel = new JLabel("Furnace:");
FurnaceIndicatorLabel.setBounds(20, 260, 80, 25);
panel.add(FurnaceIndicatorLabel);
JLabel ACIndicatorLabel = new JLabel("Air Conditioner:");
ACIndicatorLabel.setBounds(20, 300, 110, 25);
panel.add(ACIndicatorLabel);
JPanel FurnaceIndicator = new JPanel();
FurnaceIndicator.setBounds(210, 260, 25, 25);
FurnaceIndicator.setBackground(Color.RED);
panel.add(FurnaceIndicator);
JPanel ACIndicator = new JPanel();
ACIndicator.setBounds(210, 300, 25, 25);
ACIndicator.setBackground(Color.RED);
panel.add(ACIndicator);
//Moisture components.
JLabel InitialMoistureLabel = new JLabel("Initial Moisture(integer):");
InitialMoistureLabel.setBounds(330, 20, 190, 25);
panel.add(InitialMoistureLabel);
JTextField InitialMoistureText = new JTextField(20);
InitialMoistureText.setBounds(520, 20, 100, 25);
panel.add(InitialMoistureText);
JLabel IdealMoistureLabel = new JLabel("Ideal Moisture:");
IdealMoistureLabel.setBounds(330, 60, 190, 25);
panel.add(IdealMoistureLabel);
JTextField IdealMoistureText = new JTextField(20);
IdealMoistureText.setBounds(520, 60, 100, 25);
panel.add(IdealMoistureText);
JLabel IdealMoistureRangeLabel = new JLabel("Moisture Comfort Range:");
IdealMoistureRangeLabel.setBounds(330, 100, 190, 25);
panel.add(IdealMoistureRangeLabel);
JTextField IdealMoistureRangeText = new JTextField(20);
IdealMoistureRangeText.setBounds(520, 100, 100, 25);
panel.add(IdealMoistureRangeText);
JLabel SprinklerOnRateLabel = new JLabel("Sprinkler On Rate:");
SprinklerOnRateLabel.setBounds(330, 140, 190, 25);
panel.add(SprinklerOnRateLabel);
JTextField SprinklerOnRateText = new JTextField(20);
SprinklerOnRateText.setBounds(520, 140, 100, 25);
panel.add(SprinklerOnRateText);
JLabel SprinklerOffRateLabel = new JLabel("Ambient Moisture Rate:");
SprinklerOffRateLabel.setBounds(330, 180, 190, 25);
panel.add(SprinklerOffRateLabel);
JTextField SprinklerOffRateText = new JTextField(20);
SprinklerOffRateText.setBounds(520, 180, 100, 25);
panel.add(SprinklerOffRateText);
JLabel CurrentMoistureLabel = new JLabel("Current Moisture:");
CurrentMoistureLabel.setBounds(330, 220, 190, 25);
panel.add(CurrentMoistureLabel);
JLabel SprinklerIndicatorLabel = new JLabel("Sprinkler:");
SprinklerIndicatorLabel.setBounds(330, 260, 190, 25);
panel.add(SprinklerIndicatorLabel);
JPanel SprinklerIndicator = new JPanel();
SprinklerIndicator.setBounds(520, 260, 25, 25);
SprinklerIndicator.setBackground(Color.RED);
panel.add(SprinklerIndicator);
//Humidity components.
JLabel InitialHumidityLabel = new JLabel("Initial Humidity(integer):");
InitialHumidityLabel.setBounds(660, 20, 190, 25);
panel.add(InitialHumidityLabel);
JTextField InitialHumidityText = new JTextField(20);
InitialHumidityText.setBounds(850, 20, 100, 25);
panel.add(InitialHumidityText);
JLabel IdealHumidityLabel = new JLabel("Ideal Moisture:");
IdealHumidityLabel.setBounds(660, 60, 190, 25);
panel.add(IdealHumidityLabel);
JTextField IdealHumidityText = new JTextField(20);
IdealHumidityText.setBounds(850, 60, 100, 25);
panel.add(IdealHumidityText);
JLabel IdealHumidityRangeLabel = new JLabel("Humidity Comfort Range:");
IdealHumidityRangeLabel.setBounds(660, 100, 190, 25);
panel.add(IdealHumidityRangeLabel);
JTextField IdealHumidityRangeText = new JTextField(20);
IdealHumidityRangeText.setBounds(850, 100, 100, 25);
panel.add(IdealHumidityRangeText);
JLabel HumidifierOnRateLabel = new JLabel("Humidifier On Rate:");
HumidifierOnRateLabel.setBounds(660, 140, 190, 25);
panel.add(HumidifierOnRateLabel);
JTextField HumidifierOnRateText = new JTextField(20);
HumidifierOnRateText.setBounds(850, 140, 100, 25);
panel.add(HumidifierOnRateText);
JLabel HumidifierOffRateLabel = new JLabel("Ambient Humidity Rate:");
HumidifierOffRateLabel.setBounds(660, 180, 190, 25);
panel.add(HumidifierOffRateLabel);
JTextField HumidifierOffRateText = new JTextField(20);
HumidifierOffRateText.setBounds(850, 180, 100, 25);
panel.add(HumidifierOffRateText);
JLabel CurrentHumidityLabel = new JLabel("Current Humidity:");
CurrentHumidityLabel.setBounds(660, 220, 190, 25);
panel.add(CurrentHumidityLabel);
JLabel HumidifierIndicatorLabel = new JLabel("Humidifier:");
HumidifierIndicatorLabel.setBounds(660, 260, 190, 25);
panel.add(HumidifierIndicatorLabel);
JPanel HumidifierIndicator = new JPanel();
HumidifierIndicator.setBounds(850, 260, 25, 25);
HumidifierIndicator.setBackground(Color.RED);
panel.add(HumidifierIndicator);
//Control buttons
//Start and stop buttons.
JButton StartButton = new JButton("Start");
StartButton.setBounds(20, 360, 130, 30);
panel.add(StartButton);
JButton StopButton = new JButton("Stop");
StopButton.setBounds(160, 360, 130, 30);
StopButton.setEnabled(false);
panel.add(StopButton);
//Save button for save simulation
JButton SaveButton = new JButton("Save");
SaveButton.setBounds(500, 360, 130, 30);
panel.add(SaveButton);
//Load button for load simulation.
JButton LoadButton = new JButton("Load");
LoadButton.setBounds(640, 360, 130, 30);
panel.add(LoadButton);
//Pass necessary variables and instantiate required classes and objects.
TemperatureControl tempControl = new TemperatureControl(IdealTempText, FurnaceRateText,
ACRateText, NoneRateText, CurrentTempLabel, FurnaceIndicator, ACIndicator);
MoistureControl moistureControl = new MoistureControl(IdealMoistureText, IdealMoistureRangeText,
SprinklerOnRateText, SprinklerOffRateText, CurrentMoistureLabel, SprinklerIndicator);
HumidityControl humidityControl = new HumidityControl(IdealHumidityText, IdealHumidityRangeText,
HumidifierOnRateText, HumidifierOffRateText, CurrentHumidityLabel, HumidifierIndicator);
//Action listener for the start button.
StartButton.addActionListener(e -> {
if(!tempControl.isAlive() && !moistureControl.isAlive() && !humidityControl.isAlive()) {
try {
int InitialTemp = Integer.parseInt(InitialTempText.getText());
int InitialMoisture = Integer.parseInt(InitialMoistureText.getText());
int InitialHumidity = Integer.parseInt(InitialHumidityText.getText());
tempControl.setCurrentTemp(InitialTemp);
moistureControl.setCurrentMoisture(InitialMoisture);
humidityControl.setCurrentHumidity(InitialHumidity);
tempControl.start();
moistureControl.start();
humidityControl.start();
StartButton.setEnabled(false);
StopButton.setEnabled(true);
} catch (NumberFormatException ex) {
JOptionPane.showMessageDialog(panel, "Invalid input format (enter integers).");
}
} else {
tempControl.pauseSimulation(false);
moistureControl.pauseSimulation(false);
humidityControl.pauseSimulation(false);
StartButton.setEnabled(false);
StopButton.setEnabled(true);
}
});
//Action listener for save button.
SaveButton.addActionListener(e -> {
FileDialog fileDialog = new FileDialog((Frame) null, "Save Simulation Data", FileDialog.SAVE);
fileDialog.setFilenameFilter((dir, name) -> name.endsWith(".txt"));
fileDialog.setVisible(true);
String FileName = fileDialog.getFile();
String Directory = fileDialog.getDirectory();
if (FileName != null && Directory != null) {
String SimulationData = getSimulationData(tempControl, moistureControl, humidityControl);
String FilePath = Directory + FileName;
try (FileWriter fileWriter = new FileWriter(FilePath, false)){
fileWriter.write(SimulationData);
} catch (IOException ex) {
JOptionPane.showMessageDialog(panel, "Saving error.");
}
}
});
//Action listener for load button.
LoadButton.addActionListener(e -> {
FileDialog fileDialog = new FileDialog((Frame) null, "Load Simulation Data", FileDialog.LOAD);
fileDialog.setFilenameFilter((dir, name) -> name.endsWith(".txt"));
fileDialog.setVisible(true);
String FileName = fileDialog.getFile();
String Directory = fileDialog.getDirectory();
if (FileName != null && Directory != null) {
StringBuilder SimulationData = new StringBuilder();
String FilePath = Directory + FileName;
try (BufferedReader bufferedReader = new BufferedReader(new FileReader(FilePath))) {
String line;
while ((line = bufferedReader.readLine()) != null) {
SimulationData.append(line);
}
} catch (IOException ex) {
JOptionPane.showMessageDialog(panel, "Loading error.");
}
if (SimulationData.length() > 0) {
JOptionPane.showMessageDialog(panel, SimulationData.toString(), "Loaded Simulation",
JOptionPane.INFORMATION_MESSAGE);
}
}
});
//Action listener for stop button.
StopButton.addActionListener(e -> {
tempControl.pauseSimulation(true);
moistureControl.pauseSimulation(true);
humidityControl.pauseSimulation(true);
StartButton.setEnabled(true);
StopButton.setEnabled(false);
});
}
/**
* Combines the simulation data from TemperatureControl, MoistureControl, HumidityControl objects
* into a single string.
* @param tempControl The TemperatureControl object providing temperature data.
* @param moistureControl The MoistureControl object providing moisture data.
* @param humidityControl The HumidityControl object providing humidity data.
* @return A formatted string with the combined simulation data.
*/
public static String getSimulationData(TemperatureControl tempControl,
MoistureControl moistureControl, HumidityControl humidityControl) {
StringBuilder SimulationData = new StringBuilder();
List<String> TempDataList = Arrays.asList(tempControl.SimulationData.toString().split("\n"));
List<String> MoistureDataList = Arrays.asList(moistureControl.SimulationData.toString().split("\n"));
List<String> HumidityDataList = Arrays.asList(humidityControl.SimulationData.toString().split("\n"));
int MaxData = Math.max(TempDataList.size(), Math.max(MoistureDataList.size(), HumidityDataList.size()));
for (int i = 0; i < MaxData; i++) {
if (i < TempDataList.size()) {
SimulationData.append(TempDataList.get(i)).append(", ");
}
if (i < MoistureDataList.size()) {
SimulationData.append(MoistureDataList.get(i)).append(", ");
}
if (i < HumidityDataList.size()) {
SimulationData.append(HumidityDataList.get(i)).append(", ");
}
SimulationData.append("\n");
}
return SimulationData.toString();
}
}
|
8ddcba9e00d95231471504bf377beedb
|
{
"intermediate": 0.31439071893692017,
"beginner": 0.37796667218208313,
"expert": 0.3076426088809967
}
|
356
|
my main base.html is workig and child which i extdedn is not workinng
|
76fc18d3318b74c5f94b5d885ac83598
|
{
"intermediate": 0.4051057994365692,
"beginner": 0.28499600291252136,
"expert": 0.3098982274532318
}
|
357
|
please create a curriculum outline for grade 3 ESL english class based on 18 weeks. Please offer vocabulary and sentences on each subject taught.
|
004cac9e7e4cc15306fca3c32f5647db
|
{
"intermediate": 0.3431859314441681,
"beginner": 0.4639208912849426,
"expert": 0.1928931176662445
}
|
358
|
still facing same issue
|
929206f4b23715556872e9f3c9c42335
|
{
"intermediate": 0.26267728209495544,
"beginner": 0.6478596329689026,
"expert": 0.08946311473846436
}
|
359
|
No module named 'transformers.generation'
|
71b71c650f16c68d2cbaff8aab6685e9
|
{
"intermediate": 0.39501437544822693,
"beginner": 0.32032278180122375,
"expert": 0.2846628427505493
}
|
360
|
kode:
import pandas as pd
import re
import string
import nltk
from nltk.tokenize import word_tokenize
from Sastrawi.StopWordRemover.StopWordRemoverFactory import StopWordRemoverFactory
from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
from gensim.corpora import Dictionary
from gensim.models import LdaModel
import pyLDAvis.gensim_models as gensimvis
import pyLDAvis
# Load data
data = pd.read_csv("detikcom_filtered_1000_2.csv", sep=';')
print("data sudah")
# Preprocessing
def preprocess(text):
# Lowercase
text = text.lower()
# Remove numbers and punctuations
text = re.sub(r'\d+', '', text)
text = text.translate(str.maketrans("", "", string.punctuation))
# Tokenization, stopword removal, and stemming
tokens = word_tokenize(text)
factory_stopwords = StopWordRemoverFactory()
stopwords = factory_stopwords.get_stop_words()
tokens = [token for token in tokens if token not in stopwords]
factory_stemmer = StemmerFactory()
stemmer = factory_stemmer.create_stemmer()
tokens = [stemmer.stem(token) for token in tokens]
return tokens
print("pre process")
data["tokens"] = data["Isi_Berita"].apply(preprocess)
print("pre process sudah")
# Create dictionary and corpus
print("dictionary dan korpus")
dictionary = Dictionary(data["tokens"])
corpus = [dictionary.doc2bow(token) for token in data["tokens"]]
print("dictionary dan korpus sudah")
# Train LDA model and find dominant topics
num_topics = 10
print("sampe sini")
lda_model = LdaModel(corpus, num_topics=num_topics, id2word=dictionary, passes=15)
# Visualize with pyLDAvis
vis = gensimvis.prepare(lda_model, corpus, dictionary)
pyLDAvis.display(vis)
# Find dominant topic per news article
def dominant_topic(ldamodel, corpus):
print("sampe sini_2")
topic_ids = []
i = 0
for doc in corpus:
topic_probs = ldamodel.get_document_topics(doc)
dominant_topic_id = max(topic_probs, key=lambda x: x[1])[0]
topic_ids.append(dominant_topic_id)
i+=1
print(i)
return topic_ids
data["dominant_topic"] = dominant_topic(lda_model, corpus)
menghasilkan error "C:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\pyLDAvis\_prepare.py:244: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.
by='saliency', ascending=False).head(R).drop('saliency', 1)" saat ingin display pyLDAvis, dan tidak muncul sama sekali hasil visualisasi pyLDAvisnya. Kenapa dan bagaimana solusinya?
# Print news article with its dominant topic
print(data[["Judul", "dominant_topic"]].head())
|
3aa2daf6127370f2f0caaa38cc69567d
|
{
"intermediate": 0.40073567628860474,
"beginner": 0.33043915033340454,
"expert": 0.2688252627849579
}
|
361
|
https://github.com/Teller501/Miniprojekt_2semester
|
300289e3c40bce0727e77ad540326cab
|
{
"intermediate": 0.3939702808856964,
"beginner": 0.17863769829273224,
"expert": 0.42739200592041016
}
|
362
|
@app.route("/bing", methods=['GET','POST'])
async def bing():
text2 = request.form.get('text')
print("test1")
bot = Chatbot(cookiePath='c:/Users/mozit/cookies.json')
res = await bot.ask(prompt=text2, conversation_style=ConversationStyle.creative,
wss_link="wss://sydney.bing.com/sydney/ChatHub")
print("test1")
resulta = res['items']['messages'][1]['text']
await bot.close()
return jsonify({"response": res})
if __name__ == "__main__":
app.run(host="0.0.0.0",port=3712)#,debug=True)
실행하면
TypeError: The view function did not return a valid response. The return type must be a string, dict, tuple, Response instance, or WSGI callable, but it was a coroutine.
오류원인의 원인
|
b34043702435fac520b51376130b27b1
|
{
"intermediate": 0.3843921720981598,
"beginner": 0.4235052168369293,
"expert": 0.19210264086723328
}
|
363
|
how to transfer a float to xmvector in c++
|
d8cac26e8398b0524d42bb7f69f2b554
|
{
"intermediate": 0.41046029329299927,
"beginner": 0.20675142109394073,
"expert": 0.3827883005142212
}
|
364
|
springboot log4jdbc
|
d1858298f27c9a3e9d5366f5975acc60
|
{
"intermediate": 0.44407984614372253,
"beginner": 0.2703106105327606,
"expert": 0.28560951352119446
}
|
365
|
const skillsList = document.getElementById('skills-list');
const selectedSkills = document.getElementById('selected-skills');
const searchBox = document.getElementById('search-box');
const skills = [];
// Load skills from API
fetch('http://128.214.252.39:8080/skills')
.then(response => response.json())
.then(data => {
// Display all skills initially
displaySkills(data);
// Listen for changes to the search box value
searchBox.addEventListener('input', () => {
const searchTerm = searchBox.value.toLowerCase();
const filteredSkills = data.filter(skill => {
const name = skill['name'].toLowerCase();
const code = skill.code.toLowerCase();
const info = skill.info.toLowerCase();
return name.includes(searchTerm) || code.includes(searchTerm) || info.includes(searchTerm);
});
displaySkills(filteredSkills);
});
// Add skill to list
function addSkillToList(skill) {
const skillBox = document.createElement('div');
skillBox.className = 'skill-box';
skillBox.setAttribute('draggable', true);
skillBox.dataset.skillName = skill['name'];
skillBox.dataset.skillCode = skill.code;
skillBox.dataset.skillInfo = skill.info;
const skillCheckbox = document.createElement('input');
skillCheckbox.type = 'checkbox';
skillCheckbox.dataset.skillName = skill['name'];
skillCheckbox.dataset.skillCode = skill.code;
skillCheckbox.dataset.skillInfo = skill.info;
skillCheckbox.addEventListener('change', () => {
const numSelectedSkills = selectedSkills.querySelectorAll('.skill-box').length;
if (skillCheckbox.checked && numSelectedSkills >= 5) {
skillCheckbox.checked = false;
return;
}
if (skillCheckbox.checked) {
// Move skill box to selected skills container
selectedSkills.appendChild(skillBox);
} else {
// Move skill box back to skills list container
skillsList.appendChild(skillBox);
}
sortSkillsList();
});
skillBox.appendChild(skillCheckbox);
const skillName = document.createElement('div');
skillName.className = 'skill-name';
skillName.innerText = skill['name'];
skillBox.appendChild(skillName);
const skillCode = document.createElement('div');
skillCode.className = 'skill-code';
skillCode.innerText = skill.code;
skillBox.appendChild(skillCode);
const skillInfo = document.createElement('div');
skillInfo.className = 'skill-info';
skillInfo.innerText = skill.info;
skillBox.appendChild(skillInfo);
// Add the skill box to the correct position in the skills list container
const skillBoxes = skillsList.querySelectorAll('.skill-box');
let i;
for (i = 0; i < skillBoxes.length; i++) {
const name = skillBoxes[i].dataset.skillName.toLowerCase();
if (skill['name'].toLowerCase() < name) {
skillsList.insertBefore(skillBox, skillBoxes[i]);
break;
}
}
if (i === skillBoxes.length) {
skillsList.appendChild(skillBox);
}
}
// Sort the skills list container
function sortSkillsList() {
const skillBoxes = skillsList.querySelectorAll('.skill-box');
const sortedSkillBoxes = Array.from(skillBoxes).sort((a, b) => {
const aName = a.dataset.skillName.toLowerCase();
const bName = b.dataset.skillName.toLowerCase();
return aName.localeCompare(bName);
});
skillsList.innerHTML = '';
sortedSkillBoxes.forEach(skillBox => skillsList.appendChild(skillBox));
}
// Display skills in list
function displaySkills(skills) {
skillsList.innerHTML = '';
selectedSkills.innerHTML = '';
skills.forEach(skill => addSkillToList(skill));
}
});
so lets make this site so that when 5 skills are selected a continue button shows up under the left container skill box. when continue button is pressed, the already 5 selected skills are stored up in memory as json format as some variable and removed from the view. the 5 selected counter also restarts and new 5 skills can be selected. note that the already selected skills must disappear from left list when continue is pressed so they cannot be selected again
modify the javascript as needed
|
e634fa95b40d6edfe5f2939d2713177c
|
{
"intermediate": 0.37589770555496216,
"beginner": 0.5136568546295166,
"expert": 0.11044539511203766
}
|
366
|
net core Aspose.Words.Document 读取Word文件中的文字
|
4eae566dcf1bba83b8c3b3110b38cec9
|
{
"intermediate": 0.3866419792175293,
"beginner": 0.1982649713754654,
"expert": 0.41509300470352173
}
|
367
|
I have a code in colab that is being run as !python -i 0 now instead of -i 0 I want to run it for all values between 0 and 512. How can I do that
|
77a1f6a838b58fb19b601b7a7ebb493a
|
{
"intermediate": 0.39115390181541443,
"beginner": 0.32277944684028625,
"expert": 0.2860667109489441
}
|
368
|
https://github.com/Teller501/Miniprojekt_2semester
|
d43506b5cbbe6795b77e1195618ed3f2
|
{
"intermediate": 0.3939702808856964,
"beginner": 0.17863769829273224,
"expert": 0.42739200592041016
}
|
369
|
spark sql LATERAL VIEW
|
89a57dcaedd253c609e06122dfc8cc72
|
{
"intermediate": 0.2811220586299896,
"beginner": 0.21677231788635254,
"expert": 0.5021056532859802
}
|
370
|
import React, { useState, useEffect } from ‘react’;
const SSO = () => {
const [form] = Form.useForm();
const [loading, setLoading] = React.useState(true);
const handleSubmit = values => {
// TODO: Implement SSO login logic
};
useEffect(() => {
setTimeout(() => {
setLoading(false);
}, 3000);
});
return <div></div>;
};
export default SSO;
使用bootstrap编写登录页面
|
f78d5a826397482316822ea47b0e3cbe
|
{
"intermediate": 0.4092028737068176,
"beginner": 0.3381982147693634,
"expert": 0.2525988817214966
}
|
371
|
spark sql LATERAL VIEW 示例
|
34d783b2ca388dbdef0bc9d8b3421a11
|
{
"intermediate": 0.2836935818195343,
"beginner": 0.22560273110866547,
"expert": 0.4907037019729614
}
|
372
|
how to create unreal plugin
|
084efe65ba354c433f18a33d57e8ce87
|
{
"intermediate": 0.3137536346912384,
"beginner": 0.25005248188972473,
"expert": 0.43619391322135925
}
|
373
|
header library of HS1101LF humidity sensor in C for using radiosonde
|
78bc049c094cccb4c4092a6d2bb9f0dd
|
{
"intermediate": 0.6987180709838867,
"beginner": 0.13187406957149506,
"expert": 0.16940787434577942
}
|
374
|
Use templeteref in aggrid angular as cell render
|
a26c34033f21043c0134e62509e1058a
|
{
"intermediate": 0.5040863156318665,
"beginner": 0.23631331324577332,
"expert": 0.2596004009246826
}
|
375
|
write me a python code for the best virtual assistant possible
|
42412908f49fb77a67d78441d4649fbf
|
{
"intermediate": 0.30357658863067627,
"beginner": 0.14282946288585663,
"expert": 0.5535939931869507
}
|
376
|
spark scala LATERAL VIEW
|
3b063a7c777e31ef9cfe3472b4f45ac9
|
{
"intermediate": 0.2602730393409729,
"beginner": 0.14707885682582855,
"expert": 0.5926481485366821
}
|
377
|
$r = new \PHPShopify\ShopifySDK($config);
$params = array(
'financial_status' => 'paid',
// 'created_at_min' => '2016-06-25T16:15:47-04:00',
'fields' => 'id,line_items,name,total_price',
'limit' => 50,
'page_info' => 1,
// 'rel' => next
);
$orders = $r->Order->get($params);这段代码报PHPShopify\Exception\ApiException #400
page_info - Invalid value.这个错，还有什么办法分页吗
|
dbdb9909ba521bc3a3738c11623aee0e
|
{
"intermediate": 0.4222331643104553,
"beginner": 0.3496273159980774,
"expert": 0.2281394600868225
}
|
378
|
Я создаю контейнер docker в CentOS 7 с настройкой
docker run -d \
-v /home/Media:/srv \
-v /etc/filebrowser/filebrowser.db:/database/filebrowser.db \
-v /etc/filebrowser/settings.json:/config/settings.json \
-e PUID=$(id -u) \
-e PGID=$(id -g) \
-p 8080:80 \
filebrowser/filebrowser:s6
Он запускается со следующей ошибкой
cp: cannot create regular file '/config/settings.json/settings.json': Permission denied
chown: changing ownership of '/config/settings.json': Permission denied
chown: changing ownership of '/srv': Permission denied
2023/04/11 09:01:07 open /database/filebrowser.db: is a directory
|
6bf713db73699339ad0c53968edfcf2b
|
{
"intermediate": 0.3374176621437073,
"beginner": 0.39696094393730164,
"expert": 0.2656213641166687
}
|
379
|
Write a echo client server program such that one system is running a server program and other system is running a client program. Show the communication between server and client from different Systems as a output.
|
a24ca694a5ca64d66cf646f096f48989
|
{
"intermediate": 0.34060394763946533,
"beginner": 0.2760979235172272,
"expert": 0.3832981288433075
}
|
380
|
Write Python code using boto3 and AWS CDK to make cloudformation templates for s3, ec2, lambda,… etc resources.
|
0dba62361df7be13256f1ce81d7ea9e2
|
{
"intermediate": 0.6100980043411255,
"beginner": 0.1925816684961319,
"expert": 0.19732029736042023
}
|
381
|
Как надо изменить следующий код что бы выполнить требования статьи https://developer.android.com/topic/libraries/view-binding/migration
код:
package ru.systtech.mtinstaller.ui.verification.layout
import android.app.Activity
import android.content.Context
import android.view.View
import android.view.ViewGroup
import android.widget.ArrayAdapter
import android.widget.TextView
import kotlinx.android.synthetic.main.spinner_country_code_item.view.*
import ru.systtech.mtinstaller.R
class CountryCodeAdapter constructor(
context: Context,
resource: Int,
textViewResource: Int,
objects: Array<Pair<String, String>>
) :
ArrayAdapter<Pair<String, String>>(context, resource, textViewResource, objects) {
override fun getView(position: Int, convertView: View?, parent: ViewGroup): View {
val item = getItem(position)
val inflater = (context as Activity).layoutInflater
val view = convertView ?: inflater.inflate(android.R.layout.simple_spinner_dropdown_item, parent, false)
view.findViewById<TextView>(android.R.id.text1).text = item?.first
return view
}
override fun getDropDownView(position: Int, convertView: View?, parent: ViewGroup): View {
val item = getItem(position)
val inflater = (context as Activity).layoutInflater
val view = convertView ?: inflater.inflate(R.layout.spinner_country_code_item, parent, false)
view.spinner_country_code.text = item?.first
view.spinner_country_name.text = item?.second
return view
}
}
|
093f43a76ec16de8f953741728ac1697
|
{
"intermediate": 0.6339496374130249,
"beginner": 0.1953733116388321,
"expert": 0.170677050948143
}
|
382
|
springboot oracleucp log4jdbc
|
131ef02b6607739210b706dbf307581c
|
{
"intermediate": 0.4404821991920471,
"beginner": 0.2201390564441681,
"expert": 0.3393787145614624
}
|
383
|
what is docker and how to use it?
|
1047c4dffe3be296b9f903d315eaef69
|
{
"intermediate": 0.5063367486000061,
"beginner": 0.19122982025146484,
"expert": 0.30243349075317383
}
|
384
|
what is docker and how to use it?
|
ad473ecdce3ca4355b96e86cfdf5ce79
|
{
"intermediate": 0.5063367486000061,
"beginner": 0.19122982025146484,
"expert": 0.30243349075317383
}
|
385
|
Что не так в этом коде? import openpyxl
import datetime
import pandas as pd
import telebot
from telebot.types import ReplyKeyboardMarkup, KeyboardButton
import random
import requests
from bs4 import BeautifulSoup
from telegram.ext import Updater, CommandHandler, MessageHandler, CallbackQueryHandler
from telebot import types
import sqlite3
import Levenshtein
from fuzzywuzzy import fuzz
# создание объекта бота
bot_token = "5828712341:AAG5HJa37u32SHLytWm5poFrWI0aPsA68A8"
bot = telebot.TeleBot(bot_token)
# Флаг для проверки нахождения пользователя в болталке
is_in_boltalka = True
# Загружаем файл data.xlsx и сохраняем его содержимое в переменной data
data = pd.read_excel('base.xlsx')
# Открываем файл с данными
wb = openpyxl.load_workbook('bac.xlsx')
sheet = wb.active
# Словарь для хранения количества нажатий кнопки для каждого пользователя
clicks = {}
# Получаем индекс следующей строки в файле
next_row = sheet.max_row + 1
# Обработчик команды /start и кнопки "Назад"
@bot.message_handler(commands=['start'])
@bot.message_handler(func=lambda message: message.text == 'Назад')
def handle_start_and_back_buttons(message):
# Создаем клавиатуру с кнопками
keyboard = telebot.types.ReplyKeyboardMarkup(resize_keyboard=True)
button1 = telebot.types.KeyboardButton('365 поводов 🍺')
button2 = telebot.types.KeyboardButton('Этой кнопке пох...🖕')
button3 = telebot.types.KeyboardButton('Покажи киску^^ 🙏')
button5 = telebot.types.KeyboardButton('Анекдот 😂')
button6 = telebot.types.KeyboardButton('Кто последний?')
button7 = telebot.types.KeyboardButton('Удаление всего после .html')
button8 = telebot.types.KeyboardButton('Болталка')
button9 = telebot.types.KeyboardButton('Даты')
keyboard.add(button1)
keyboard.add(button2)
keyboard.add(button5, button6, button3)
keyboard.add(button7, button8, button9)
# Отправляем сообщение с клавиатурой
bot.send_message(message.chat.id, 'Выберите действие:', reply_markup=keyboard)
# Обработчик команды кнопки "Даты"
@bot.message_handler(func=lambda message: message.text == 'Даты')
def handle_dates(message):
markup = telebot.types.ReplyKeyboardMarkup(row_width=2)
between_button = telebot.types.KeyboardButton('Между')
before_button = telebot.types.KeyboardButton('До')
back_button = telebot.types.KeyboardButton('Назад')
markup.add(between_button, before_button, back_button)
bot.send_message(message.chat.id, "Выберите действие:", reply_markup=markup)
# Обработчик нажатия кнопки "Между"
@bot.message_handler(func=lambda message: message.text == 'Между')
def handle_between(message):
bot.send_message(message.chat.id, "Введите первую дату в формате ДД.ММ.ГГГГ:")
bot.register_next_step_handler(message, between_step1)
# Обработчик ввода первой даты для "Между"
def between_step1(message):
try:
date1 = datetime.datetime.strptime(message.text, '%d.%m.%Y')
bot.send_message(message.chat.id, "Введите вторую дату в формате ДД.ММ.ГГГГ:")
bot.register_next_step_handler(message, between_step2, date1)
except ValueError:
bot.send_message(message.chat.id, "Неправильный формат даты. Введите дату в формате ДД.ММ.ГГГГ:")
# Обработчик ввода второй даты для "Между"
def between_step2(message, date1):
try:
date2 = datetime.datetime.strptime(message.text, '%d.%m.%Y')
delta = date2 - date1
years = delta.days // 365
months = (delta.days % 365) // 30
days = delta.days - (years * 365) - (months * 30)
answer = f"{years} лет, {months} месяцев, {days} дней"
bot.send_message(message.chat.id, f"Количество времени между датами: {answer}")
except ValueError:
bot.send_message(message.chat.id, "Неправильный формат даты. Введите дату в формате ДД.ММ.ГГГГ:")
# Обработчик нажатия кнопки "До"
@bot.message_handler(func=lambda message: message.text == 'До')
def handle_before(message):
bot.send_message(message.chat.id, "Введите дату в формате ДД.ММ.ГГГГ:")
bot.register_next_step_handler(message, before_step1)
# Обработчик ввода даты для "До"
def before_step1(message):
try:
date1 = datetime.datetime.strptime(message.text, '%d.%m.%Y')
delta = date1 - datetime.datetime.now()
bot.send_message(message.chat.id, f"Количество дней до указанной даты: {delta.days}")
except ValueError:
bot.send_message(message.chat.id, "Неправильный формат даты. Введите дату в формате ДД.ММ.ГГГГ:")
# Обработчик нажатия кнопки "Назад"
@bot.message_handler(func=lambda message: message.text == 'Назад')
def handle_back(message):
markup = telebot.types.ReplyKeyboardMarkup()
dates_button = telebot.types.KeyboardButton('Даты')
markup.add(dates_button)
bot.send_message(message.chat.id, "Возвращаемся в главное меню.", reply_markup=markup)
# Обработчик кнопки "Анекдот 😂"
@bot.message_handler(func=lambda message: message.text == 'Анекдот 😂')
def anekdot_handler(message):
# Запрос к сайту https://www.anekdot.ru/random/anekdot/ для получения случайного анекдота
response = requests.get('https://www.anekdot.ru/random/anekdot/')
if response.status_code == 200:
# Используем библиотеку BeautifulSoup для парсинга html-кода страницы и получения текста анекдота
soup = BeautifulSoup(response.text, 'html.parser')
anekdot = soup.find('div', {'class': 'text'}).getText().strip()
# Отправляем полученный анекдот в чат
bot.send_message(message.chat.id, anekdot)
else:
bot.send_message(message.chat.id, 'Не удалось получить анекдот :(')
# Обработчик кнопки "365 поводов 🍺"
@bot.message_handler(func=lambda message: message.text == '365 поводов 🍺')
def button1_handler(message):
# Создаем клавиатуру с четырьмя кнопками
keyboard = telebot.types.ReplyKeyboardMarkup(resize_keyboard=True)
button1 = telebot.types.KeyboardButton('Что было вчера?')
button2 = telebot.types.KeyboardButton('Какой сегодня день?')
button3 = telebot.types.KeyboardButton('Что будет завтра?')
button4 = telebot.types.KeyboardButton('Назад')
keyboard.add(button2)
keyboard.add(button1, button3)
keyboard.add(button4)
# Отправляем сообщение с клавиатурой
bot.send_message(message.chat.id, 'Выберите действие:', reply_markup=keyboard)
# Обработчики кнопок "Что было вчера?", "Какой сегодня день?" и "Что будет завтра?"
@bot.message_handler(func=lambda message: message.text in ['Что было вчера?', 'Какой сегодня день?', 'Что будет завтра?'])
def date_handler(message):
# Находим строку в файле data.xlsx, соответствующую запрошенной дате
date = message.text.lower()
today = pd.Timestamp.today().normalize()
if date == 'что было вчера?':
date = today - pd.Timedelta(days=1)
elif date == 'какой сегодня день?':
date = today
else:
date = today + pd.Timedelta(days=1)
row = data[data['Data'] == date.strftime('%m/%d/%Y')]
# Если строка найдена, отправляем сообщение с содержимым столбца "CommentBot"
if not row.empty:
comment = row.iloc[0]['CommentBot']
bot.send_message(message.chat.id, comment)
comment = row.iloc[0]['History']
bot.send_message(message.chat.id, comment)
else:
bot.send_message(message.chat.id,'К сожалению, я не нашел информацию по этой дате')
# Обработчик кнопки "Покажи киску^^ 🙏"
@bot.message_handler(func=lambda message: message.text == 'Покажи киску^^ 🙏')
def kawaii_handler(message):
# Отправляем сообщение с картинкой киской
response = requests.get('https://api.thecatapi.com/v1/images/search?mime_types=jpg,png')
data = response.json()
image_url = data[0]['url']
bot.send_photo(message.chat.id, image_url)
# Обработчик кнопки "Кто последний?"
@bot.message_handler(func=lambda message: message.text == 'Кто последний?')
def handle_button6(message):
# получаем имя пользователя
username = message.from_user.username
# получаем текущую дату и время
now = datetime.datetime.now()
# записываем данные в файл bac.txt
with open('bac.txt', 'a') as f:
f.write(f'{username}, {now}\n')
# загружаем данные из файла bac.xlsx
df = pd.read_excel('bac.xlsx')
# если имя пользователя не найдено, добавляем его в файл
if username not in df['Name'].values:
new_row = {'Name': username, 'Quantity': 1}
df = pd.concat([df, pd.DataFrame(new_row, index=[0])], ignore_index=True)
# иначе увеличиваем количество нажатий
else:
idx = df.index[df['Name'] == username][0]
df.at[idx, 'Quantity'] += 1
# переносим данные последнего пользователя в конец списка
df = pd.concat([df[df['Name'] != username], df[df['Name'] == username]], ignore_index=True)
# сохраняем изменения в файл bac.xlsx
df.to_excel('bac.xlsx', index=False)
# выводим 3 последних пользователей и количество их нажатий
last_rows = df.tail(3)[::-1]
reply = ''
for idx, row in last_rows.iterrows():
reply += f'@{row["Name"]}: {row["Quantity"]} раз\n'
bot.send_message(message.chat.id, reply, disable_notification=True)
# Функция для обработки команды "Болталка"
@bot.message_handler(func=lambda message: message.text == 'Болталка')
def handle_boltalka(message):
global is_in_boltalka
is_in_boltalka = True
keyboard = ReplyKeyboardMarkup(resize_keyboard=True)
button9 = telebot.types.KeyboardButton('Назад')
keyboard.add(button9)
bot.send_message(message.chat.id, 'Вы вошли в Болталку', reply_markup=keyboard)
# Функция для обработки команды "Назад"
@bot.message_handler(func=lambda message: message.text == 'Назад')
def hhandle_start_and_back_buttons(message):
global is_in_boltalka
is_in_boltalka = False
bot.send_message(message.chat.id, 'Выберите действие:')
# Подключение к базе данных
conn = sqlite3.connect('example.db')
cursor = conn.cursor()
# Функция для обработки текстовых сообщений
@bot.message_handler(func=lambda message: True, content_types=['text'])
def get_answer(message):
# Соединение с базой данных example.db
conn = sqlite3.connect('example.db')
cursor = conn.cursor()
# Ищем ответ на сообщение пользователя в базе данных
cursor.execute("SELECT Otv FROM Tab1 WHERE Vop=?", (message.text,))
rows = cursor.fetchall()
if rows:
# Если найдено несколько ответов на одно сообщение пользователя,
# выбираем случайный ответ из них
answer = random.choice(rows)[0]
else:
# Если ответ не найден, отправляем пользователю стандартное сообщение
answer = 'Извините, я не понимаю, о чем вы говорите.'
bot.send_message(message.chat.id, answer)
# Закрытие соединения с базой данных
cursor.close()
conn.close()
# запуск бота
bot.polling(none_stop=True)
|
b115c2a5b84229a7353cc46d44c3e935
|
{
"intermediate": 0.353982537984848,
"beginner": 0.4403529465198517,
"expert": 0.20566454529762268
}
|
386
|
Я изменил владельца каталога "/home/Media" на пользователя, от которого я запускаюDocker контейнер
sudo chown -R 0:0 /home/Media
sudo chmod -R 755 /home/Media
Далее я запускаю скрипт контейнера
sudo docker run \
-v /home/Media:/srv \
-v /etc/filebrowser/filebrowser.db:/database/filebrowser.db \
-v /etc/filebrowser/settings.json:/config/settings.json \
-e PUID=0 \
-e PGID=0 \
-p 8080:80 \
filebrowser/filebrowser:s6
Однако он выдаёт ошибку
chown: changing ownership of '/srv': Permission denied
|
fb45d96c6f719001495620fb280e4acb
|
{
"intermediate": 0.3467925786972046,
"beginner": 0.36534440517425537,
"expert": 0.28786301612854004
}
|
387
|
hi
|
31a6f044c57711811dae3c50ec541861
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
388
|
Write Python code using boto3 and AWS CDK to create CloudFormation template by boto3.client('s3') and boto3.client('ec2') results.
|
1a005bf4293003937ff4c2a3cd19faf9
|
{
"intermediate": 0.43203005194664,
"beginner": 0.28251945972442627,
"expert": 0.2854504883289337
}
|
389
|
send me code for Arduino nano USB MSC master.
|
7a1b1053a1fc57fc99351d7f6ac95001
|
{
"intermediate": 0.46956586837768555,
"beginner": 0.18689915537834167,
"expert": 0.34353500604629517
}
|
390
|
In rust, how to create libraries and sub-crates?
|
ecec7a4f1eaa20dae4797c4410eabf33
|
{
"intermediate": 0.7295334339141846,
"beginner": 0.14605973660945892,
"expert": 0.1244068443775177
}
|
391
|
pt1000 temperature calculation function in c for Codevision AVR
|
2e8c1b27e60b5b0177806a70b6043f18
|
{
"intermediate": 0.3737052381038666,
"beginner": 0.19437900185585022,
"expert": 0.4319157600402832
}
|
392
|
I need data analysis I have bank-level financials data and country level fintech credit data I want to analyze how fintech and other alternative credits affect traditional banking. For example I have ROAA(return on average asset) as dependent variable and macroeconomic control variables and fintech data as independent variables.
|
d922b723c7fe53c0d25a0823be4fcb12
|
{
"intermediate": 0.3943486213684082,
"beginner": 0.3466620445251465,
"expert": 0.2589893341064453
}
|
393
|
'''
from pylab import rcParams
import requests
import pandas as pd
import matplotlib.pyplot as plt
pd.set_option('display.max_rows', None)
# アクセス情報
business_account_id = '17841458386736965'
token = 'EAAIui8JmOHYBAESXLZAnsSRe4OITHYzy3Q5osKgMXGRQnoVMtiIwJUonFjVHEjl9EZCEmURy9I9S9cnyFUXBquZCsWnGx1iJCYTvkKuUZBpBwwSceZB0ZB6YY9B83duIwZCoOlrOODhnA3HLLGbRKGPJ9hbQPLCrkVbc5ibhE43wIAinV0gVkJ30x4UEpb8fXLD8z5J9EYrbQZDZD'
username = 'walhalax'
media_fields = 'timestamp,like_count,comments_count,caption'
# メディア情報を取得する
def user_media_info(business_account_id,token,username,media_fields):
all_response = []
request_url = "https://graph.facebook.com/v11.0/{business_account_id}?fields=business_discovery.username({username}){{media{{{media_fields}}}}}&access_token={token}".format(business_account_id=business_account_id,username=username,media_fields=media_fields,token=token)
# print(request_url)
response = requests.get(request_url)
result = response.json()['business_discovery']
all_response.append(result['media']['data'])
# 過去分がある場合は過去分全て取得する(1度に取得できる件数は25件)
if 'after' in result['media']['paging']['cursors'].keys():
next_token = result['media']['paging']['cursors']['after']
while next_token is not None:
request_url = "https://graph.facebook.com/v11.0/{business_account_id}?fields=business_discovery.username({username}){{media.after({next_token}){{{media_fields}}}}}&access_token={token}".format(business_account_id=business_account_id,username=username,media_fields=media_fields,token=token,next_token=next_token)
# print(request_url)
response = requests.get(request_url)
result = response.json()['business_discovery']
all_response.append(result['media']['data'])
if 'after' in result['media']['paging']['cursors'].keys():
next_token = result['media']['paging']['cursors']['after']
else:
next_token = None
return all_response
result = user_media_info(business_account_id,token,username,media_fields)
#データの可視化
df_concat = None
df_concat = pd.DataFrame(result[0])
if len != 1:
for i,g in enumerate(result):
df_concat = pd.concat([pd.DataFrame(result[i]), df_concat])
df_concat_sort = df_concat.sort_values('timestamp').drop_duplicates('id').reset_index(drop='true')
df_concat_sort.set_index('timestamp')
rcParams['figure.figsize'] = 20,10
fig, ax = plt.subplots(1, 1)
plt.plot(df_concat_sort['timestamp'].str[:10], df_concat_sort['like_count'],label='like_count')
plt.plot(df_concat_sort['timestamp'].str[:10], df_concat_sort['comments_count'],label='comments_count')
ax.legend()
for idx,label in enumerate(ax.get_xticklabels()):
if idx % 2 == 0:
label.set_visible(False)
plt.xticks(rotation=45)
fig.subplots_adjust(left=0.2)
# グラフ出力
plt.show()
# DataFrame出力
display(df_concat_sort)
'''
上記コードを実行すると下記のエラーが発生します。行頭にPython用のインデントを付与した修正済みのコードを省略せずにすべて表示してください。
'''
KeyError Traceback (most recent call last)
Cell In[1], line 41
37 next_token = None
39 return all_response
---> 41 result = user_media_info(business_account_id,token,username,media_fields)
44 #データの可視化
46 df_concat = None
Cell In[1], line 26, in user_media_info(business_account_id, token, username, media_fields)
23 all_response.append(result['media']['data'])
25 # 過去分がある場合は過去分全て取得する(1度に取得できる件数は25件)
---> 26 if 'after' in result['media']['paging']['cursors'].keys():
27 next_token = result['media']['paging']['cursors']['after']
28 while next_token is not None:
KeyError: 'paging'
'''
|
e711472fc6a0ad6f2cab3c877ca7ca57
|
{
"intermediate": 0.4151138961315155,
"beginner": 0.36533623933792114,
"expert": 0.21954984962940216
}
|
394
|
panic: While parsing config: unexpected end of JSON input
goroutine 1 [running]:
github.com/filebrowser/filebrowser/v2/cmd.initConfig()
/home/runner/work/filebrowser/filebrowser/cmd/root.go:410 +0x346
github.com/spf13/cobra.(*Command).preRun(...)
/home/runner/go/pkg/mod/github.com/spf13/cobra@v1.4.0/command.go:886
github.com/spf13/cobra.(*Command).execute(0x1828580, {0xc0000ba010, 0x4, 0x4})
/home/runner/go/pkg/mod/github.com/spf13/cobra@v1.4.0/command.go:822 +0x44e
github.com/spf13/cobra.(*Command).ExecuteC(0x1828580)
/home/runner/go/pkg/mod/github.com/spf13/cobra@v1.4.0/command.go:974 +0x3b4
github.com/spf13/cobra.(*Command).Execute(...)
/home/runner/go/pkg/mod/github.com/spf13/cobra@v1.4.0/command.go:902
github.com/filebrowser/filebrowser/v2/cmd.Execute()
/home/runner/work/filebrowser/filebrowser/cmd/cmd.go:9 +0x25
main.main()
/home/runner/work/filebrowser/filebrowser/main.go:8 +0x17
panic: While parsing config: unexpected end of JSON input
|
60b2e033b8cfc9713e98c89ec9c25491
|
{
"intermediate": 0.30876970291137695,
"beginner": 0.3574509620666504,
"expert": 0.33377933502197266
}
|
395
|
in rust programming language, please demonstrate different log levels
|
6be63faf8359851509ff03bc7f433440
|
{
"intermediate": 0.3473272919654846,
"beginner": 0.3091251254081726,
"expert": 0.3435475528240204
}
|
396
|
Write php code to multiply matrices
|
e48095194ba679d806b241b4f7948a19
|
{
"intermediate": 0.44879546761512756,
"beginner": 0.24141909182071686,
"expert": 0.3097854554653168
}
|
397
|
3D mesh AI tools
|
a4eb5bb80b42e5f3267a5bf8ea6b22be
|
{
"intermediate": 0.06765233725309372,
"beginner": 0.05653534457087517,
"expert": 0.8758123517036438
}
|
398
|
PyImport_ImportModule 作用
|
74a47d5c39022f93a8e2d7aaad904951
|
{
"intermediate": 0.3031215965747833,
"beginner": 0.39125677943229675,
"expert": 0.3056216239929199
}
|
399
|
'''
import json
import pandas as pd
import requests
import streamlit as st
from datetime import datetime
from typing import Tuple, List
# 事前に必要な情報を埋め込む
ACCESS_TOKEN = "EAAIui8JmOHYBAESXLZAnsSRe4OITHYzy3Q5osKgMXGRQnoVMtiIwJUonFjVHEjl9EZCEmURy9I9S9cnyFUXBquZCsWnGx1iJCYTvkKuUZBpBwwSceZB0ZB6YY9B83duIwZCoOlrOODhnA3HLLGbRKGPJ9hbQPLCrkVbc5ibhE43wIAinV0gVkJ30x4UEpb8fXLD8z5J9EYrbQZDZD"
USER_ID = "17841458386736965"
def get_post_id(timestamp: str, media_id: str, post_creation_dates: List[str]) -> str:
date = datetime.strptime(timestamp, '%Y-%m-%dT%H:%M:%S%z').strftime('%Y%m%d')
post_id = f"{date}_{post_creation_dates.count(date)+1}"
post_creation_dates.append(date)
return post_id
def get_media_data(media_id: str) -> Tuple[str, str]:
media_url = f"https://graph.instagram.com/v12.0/{media_id}?fields=media_type,media_url,timestamp&access_token={ACCESS_TOKEN}"
response = requests.get(media_url)
response.raise_for_status() # Raise an exception if there's an error in the response
media_data = response.json()
return media_data["media_url"], media_data["timestamp"]
def get_username_and_picture(user_id: str) -> Tuple[str, str]:
user_url = f"https://graph.instagram.com/v12.0/{user_id}?fields=username,profile_picture_url&access_token={ACCESS_TOKEN}"
response = requests.get(user_url)
response.raise_for_status() # Raise an exception if there's an error in the response
user_data = response.json()
return user_data["username"], user_data["profile_picture_url"]
def get_total_counts(count_type: str, media_id: str) -> int:
if count_type not in ["likes", "comments"]:
return 0
count_url = f"https://graph.instagram.com/v12.0/{media_id}?fields={count_type}.summary(true)&access_token={ACCESS_TOKEN}"
response = requests.get(count_url)
response.raise_for_status() # Raise an exception if there's an error in the response
summary_data = response.json()
return summary_data["summary"]["total_count"]
def extract_data(response: requests.models.Response) -> pd.DataFrame:
response.raise_for_status() # Raise an exception if there's an error in the response
data = json.loads(response.text)["data"]
return pd.DataFrame(data)
# Check if the access token and user ID are not empty
if not ACCESS_TOKEN:
st.warning("Please set your ACCESS_TOKEN in the code.")
st.stop()
if not USER_ID:
st.warning("Please set your USER_ID in the code.")
st.stop()
# Main logic
try:
st.set_page_config(page_title="Instagram Analytics", layout="wide")
with st.sidebar:
st.title("Instagram Analytics")
# Get media
media_url = f"https://graph.instagram.com/v12.0/{USER_ID}/media?fields=id,caption,timestamp&access_token={ACCESS_TOKEN}"
response = requests.get(media_url)
if response.status_code != 200:
st.write("An error occurred while fetching data from the API:")
st.write(response.json())
st.stop()
media_df = extract_data(response)
# Add post ID
post_creation_dates = []
media_df["post_id"] = media_df.apply(
lambda row: get_post_id(row["timestamp"], row["id"], post_creation_dates), axis=1
)
# Sidebar selectbox
selected_post = st.sidebar.selectbox("Select Post:", media_df["post_id"].values)
with st.empty():
col1, col2, col3 = st.columns([1, 1, 1])
# Get selected post data
selected_media_id = media_df.loc[
media_df["post_id"] == selected_post, "id"
].values[0]
image_url, post_created_time = get_media_data(selected_media_id)
st.image(image_url, width=300)
# Get user-like data
like_user_information = []
like_url = f"https://graph.instagram.com/v12.0/{selected_media_id}/likes?fields=username,profile_picture_url,timestamp&access_token={ACCESS_TOKEN}"
like_data = requests.get(like_url).text
like_df = extract_data(like_data)
for idx, user in like_df.iterrows():
username, profile_picture_url = get_username_and_picture(user["id"])
like_user_information.append(
{
"username": username,
"profile_picture_url": profile_picture_url,
"timestamp": user["timestamp"],
}
)
like_user_df = pd.DataFrame(like_user_information)
if not like_user_df.empty:
like_user_df = like_user_df[like_user_df["timestamp"] == post_created_time]
col1.write(like_user_df)
# Get comments data
comments_url = f"https://graph.instagram.com/v12.0/{selected_media_id}/comments?fields=username,profile_picture_url,timestamp&access_token={ACCESS_TOKEN}"
comments_data = requests.get(comments_url).text
comments_df = extract_data(comments_data)
if not comments_df.empty:
comments_df = comments_df[comments_df["timestamp"] == post_created_time]
for idx, user in comments_df.iterrows():
username, profile_picture_url = get_username_and_picture(user["id"])
col2.write(f'{user["text"]}')
col2.image(profile_picture_url, width=50)
# Get follow data (sample data)
follow_user_info = [
{
"id": "id_1",
"username": "John",
"profile_picture_url": "https://example.com/profile_1.jpg",
},
{
"id": "id_2",
"username": "Jane",
"profile_picture_url": "https://example.com/profile_2.jpg",
},
]
for follow_user in follow_user_info:
col3.write(follow_user["username"])
col3.image(follow_user["profile_picture_url"], width=50)
with st.expander("Analytics Pane"):
total_comments = get_total_counts("comments", selected_media_id)
col1.metric("Total Comments", total_comments)
# Display interactive graphs and charts of analytics data (sample data)
sample_data = pd.DataFrame(
{
"dates": pd.date_range(start="2021-01-01", periods=10, freq="M"),
"values": [100, 150, 170, 200, 220, 250, 270, 300, 330, 350],
}
)
selected_analytics = st.multiselect("Select Analytics:", sample_data.columns)
if any(selected_analytics):
st.line_chart(sample_data[selected_analytics])
except ValueError as ve:
st.error(f"An error occurred while fetching data from the API: {str(ve)}")
except requests.exceptions.RequestException as e:
st.error(f"An error occurred while fetching data from the API: {str(e)}")
'''
上記コードをstreamlitで実行した際に下記のエラーが発生します。行頭にPython用のインデントを付与した修正済みのコードを省略せずにすべて表示してください。
‘’‘
An error occurred while fetching data from the API:
An error occurred while fetching data from the API: Expecting value: line 1 column 1 (char 0)
’‘’
|
b4584e5cffe5a50731ceb5536823ea0b
|
{
"intermediate": 0.40545615553855896,
"beginner": 0.44943735003471375,
"expert": 0.1451065093278885
}
|
400
|
以下请求头用C# httpwebrequest实现
POST https://dhfinet.dhgate.com/dhfinetportal/accountDetail/detailList.do HTTP/1.1
Host: dhfinet.dhgate.com
Connection: keep-alive
Content-Length: 87
Pragma: no-cache
Cache-Control: no-cache
Accept: application/json, text/javascript, */*; q=0.01
Origin: https://dhfinet.dhgate.com
X-Requested-With: XMLHttpRequest
User-Agent: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.120 Safari/537.36
Sec-Fetch-Mode: cors
Content-Type: application/x-www-form-urlencoded; charset=UTF-8
Sec-Fetch-Site: same-origin
Referer: https://dhfinet.dhgate.com/dhfinetportal/assets/assetsTotal.do
Accept-Encoding: gzip, deflate, br
Accept-Language: zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7
发送数据 startDate=2013-04-01&endDate=2023-04-11&pagenum=2&pageSize=20&timeScope=all&transType=1
|
56fee8cdad169be3e2104786f277fac3
|
{
"intermediate": 0.3823692500591278,
"beginner": 0.31102511286735535,
"expert": 0.30660560727119446
}
|
401
|
You are a UX expert. I want to create a GUI for a desktop application which can do 2 main things:
1. Search for files
2. Show details of a o file
There are to ways to show the details of a file:
1. Pick a file from the result of a search
2. By using an external CLI tool, which opens the GUI with the details of the file it accepts as a parameter
Suggest a GUI design for this application
|
65411735abedc7b3fce11c2f3a557d48
|
{
"intermediate": 0.29876530170440674,
"beginner": 0.4440254271030426,
"expert": 0.25720924139022827
}
|
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