12306 | 12306 smart ticket swiping | Continuous Deployment library
kandi X-RAY | 12306 Summary
kandi X-RAY | 12306 Summary
12306 smart ticket swiping, booking
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Top functions reviewed by kandi - BETA
- Main entry point
- Send request data
- Send getQueueCount request
- Send an auto submit order request
- Send server channel
- Return the data as a dictionary
- Train the model
- Download images
- Download images and images
- Load data
- Filter CDN addresses
- Open the cdn file
- Sort the cdn list
- Run all cdns
- Send checkRandCodeAnsyncing
- Check sleep time
- Receive data from r_data
- Parse arguments
- Sends data
- Loads captcha data
- Get proxy list
- Send server channel to server
- Send pushBear message
- Send checkUser request
- Log a message to the logger
- Send a request to get repeat repeat
- Auto synchro time
- Predict with the given function
12306 Key Features
12306 Examples and Code Snippets
Lines of Code : 33License : Permissive (Apache-2.0)
Copygit clone https://github.com/janlle/12306.git 12306
cd 12306
python install -r requirements.txt
python start.py
[root@localhost 12306]# python start.py
Using TensorFlow backend.
Corrupt JPEG data: 17 extraneous bytes before marker 0xd9
2019-12- hack12306
├── LICENSE
├── README.md
├── hack12306
│ ├── __init__.py
│ ├── auth.py
│ ├── base.py
│ ├── constants.py
│ ├── exceptions.py
│ ├── order.py
│ ├── pay.py
│&n 
License : No LicenseCopy{
"...": "...",
"getWebHook": "https://sc.ftqq.com/SCKEY.send?text=$message",
"...": "..."
}
{
"...": "...",
"postWebHook": "https://sc.ftqq.com/SCKEY.send",
"postWebHookData": {
"text": "抢到票啦，快去付款吧",
"desp": Community Discussions
Trending Discussions on 12306
QUESTION
I have two queries that create two separate tables, pulling on several foreign keys.
Simplified and using retail food as an example, Table 1 looks like this:
Transaction ID City Store Item Description 12320 Boston Joe's Shop 12305 Banana 12321 LA Bob's Market 12306 Apple 12322 NY Suzy's Corner Store 12307 StrawberryTable 2 looks like this:
Transaction ID City Item Description 12323 SF 12308 Pineapple 12324 Houston 12306 Apple 12325 Miami 12307 StrawberryEssentially, Table 2 contains transactions that do not have a store, and as such are treated differently in our company (and reported on separately). However, I was wondering how can I incorporate both tables to achieve something like this? I am getting stuck since the data pull for each table comes from different places, since in this example, transactions sold without a store get classified completely differently.
Transaction ID City Store Item Description 12320 Boston Joe's Shop 12305 Banana 12321 LA Bob's Market 12306 Apple 12322 NY Suzy's Corner Store 12307 Strawberry 12323 SF No Store 12308 Pineapple 12324 Houston No Store 12307 Apple 12325 Miami No Store 12307 StrawberryThank you in advance for your help!
...ANSWER
Answered 2022-Apr-15 at 22:14In SQL this is called a UNION. You can union two sets if they have the same columns, such as:
QUESTION
I have a gps sensor that outputs latitude and longitude. Along with it I am calling the current time in timec(). I want to output these values into a text file that I can upload into excel for extrapolation. My outputs currently look like
14:48:48,"(36.12306, -97.06177333333332)"
And I need my outputs to look like
14:48:48, 36.12306, -97.06177333333332
I have tried what is below:
...ANSWER
Answered 2022-Mar-25 at 20:08Spread the result of GPS in to separate variables.
You should just open the file once, not every time through the loop. You can use f.flush() to flush the line to the file immediately.
QUESTION
Im beginner in this and i want to use xslt to tranform my xml file, but i'm lacking in knowledge and experience to do it. Here is an example of the file1.xml i want to transform with xsl
file1.xml
...ANSWER
Answered 2021-Dec-20 at 17:19If you can use XSLT version 3.0 (or 2.0; just replace xsl:mode with an identity transform) I'd use an xsl:key...
QUESTION
[('2014', (105, 234)), ('2014', (2877, 1426)), ('2014', (73, 68)), ('2014', (134, 143)), ('2014', (166, 125)), ('2014', (2324, 2316)), ('2014', (679, 124)), ('2014', (6132, 1180)), ('2014', (1497, 1322)), ('2014', (10675, 10201)), ('2014', (5549, 4809)), ('2014', (410, 390)), ('2014', (2931, 2722)), ('2014', (378, 356)), ('2014', (14597, 1555)), ('2014', (361, 236)), ('2014', (7323, 2775)), ('2014', (13081, 3374)), ('2014', (22881, 4453)), ('2014', (3123, 149)), ('2014', (1160, 179)), ('2014', (6165, 872)), ('2014', (9592, 2738)), ('2014', (2925, 1049)), ('2014', (571, 81)), ('2014', (2441, 1000)), ('2014', (9457, 2839)), ('2014', (0, 0)), ('2014', (227, 105)), ('2014', (787, 304)), ('2014', (918, 266)), ('2014', (1043, 349)), ('2014', (299, 82)), ('2014', (88, 52)), ('2014', (88, 40)), ('2014', (21, 15)), ('2014', (58, 37)), ('2014', (57, 23)), ('2014', (72, 34)), ('2014', (96, 36)), ('2014', (10, 4)), ('2014', (32, 68)), ('2014', (4, 0)), ('2015', (86, 210)), ('2015', (3168, 1515)), ('2015', (83, 71)), ('2015', (122, 121)), ('2015', (136, 118)), ('2015', (2609, 2526)), ('2015', (648, 82)), ('2015', (6476, 1129)), ('2015', (1235, 1083)), ('2015', (10602, 10292)), ('2015', (4803, 4210)), ('2015', (298, 284)), ('2015', (2466, 2261)), ('2015', (304, 297)), ('2015', (15341, 1641)), ('2015', (364, 224)), ('2015', (8687, 3043)), ('2015', (12722, 3285)), ('2015', (24022, 3929)), ('2015', (3653, 168)), ('2015', (1374, 176)), ('2015', (7611, 781)), ('2015', (11347, 3177)), ('2015', (2966, 1097)), ('2015', (601, 88)), ('2015', (2468, 1039)), ('2015', (9142, 2858)), ('2015', (0, 0)), ('2015', (244, 98)), ('2015', (932, 239)), ('2015', (1266, 381)), ('2015', (1073, 415)), ('2015', (327, 87)), ('2015', (93, 18)), ('2015', (81, 21)), ('2015', (12, 6)), ('2015', (69, 24)), ('2015', (59, 32)), ('2015', (42, 13)), ('2015', (79, 33)), ('2015', (8, 3)), ('2015', (19, 16)), ('2015', (12, 0)), ('2016', (81, 183)), ('2016', (3790, 2066)), ('2016', (106, 103)), ('2016', (155, 174)), ('2016', (155, 164)), ('2016', (135, 89)), ('2016', (3115, 2987)), ('2016', (577, 90)), ('2016', (7076, 1660)), ('2016', (1425, 1262)), ('2016', (10895, 10575)), ('2016', (4607, 4110)), ('2016', (272, 262)), ('2016', (86, 59)), ('2016', (2372, 2151)), ('2016', (175, 202)), ('2016', (16766, 1813)), ('2016', (276, 149)), ('2016', (9191, 3474)), ('2016', (11795, 3186)), ('2016', (23420, 5041)), ('2016', (3941, 201)), ('2016', (1452, 154)), ('2016', (8242, 780)), ('2016', (11395, 3581)), ('2016', (2692, 1089)), ('2016', (613, 95)), ('2016', (2421, 952)), ('2016', (9059, 2826)), ('2016', (0, 0)), ('2016', (212, 90)), ('2016', (817, 321)), ('2016', (1807, 469)), ('2016', (722, 320)), ('2016', (511, 166)), ('2016', (173, 61)), ('2016', (91, 28)), ('2016', (18, 3)), ('2016', (77, 25)), ('2016', (106, 24)), ('2016', (31, 3)), ('2016', (120, 47)), ('2016', (4, 1)), ('2016', (14, 12)), ('2016', (21, 1)), ('2017', (78, 188)), ('2017', (3253, 1163)), ('2017', (84, 90)), ('2017', (79, 73)), ('2017', (156, 168)), ('2017', (135, 94)), ('2017', (3114, 3045)), ('2017', (364, 49)), ('2017', (10212, 2572)), ('2017', (2152, 1926)), ('2017', (12306, 11876)), ('2017', (4383, 3798)), ('2017', (164, 158)), ('2017', (109, 21)), ('2017', (2641, 2510)), ('2017', (129, 138)), ('2017', (18222, 1958)), ('2017', (332, 194)), ('2017', (8472, 3390)), ('2017', (11401, 3270)), ('2017', (22043, 4098)), ('2017', (4878, 990)), ('2017', (965, 87)), ('2017', (9394, 1061)), ('2017', (12806, 3141)), ('2017', (2375, 900)), ('2017', (427, 60)), ('2017', (4123, 835)), ('2017', (14295, 2601)), ('2017', (1, 0)), ('2017', (241, 96)), ('2017', (708, 208)), ('2017', (1584, 391)), ('2017', (788, 404)), ('2017', (287, 64)), ('2017', (131, 114)), ('2017', (87, 18)), ('2017', (21, 24)), ('2017', (74, 32)), ('2017', (111, 56)), ('2017', (71, 46)), ('2017', (135, 60)), ('2017', (12, 2)), ('2017', (14, 21)), ('2017', (7, 2)), ('2018', (94, 172)), ('2018', (3184, 1189)), ('2018', (78, 73)), ('2018', (157, 175)), ('2018', (192, 148)), ('2018', (2256, 2212)), ('2018', (297, 93)), ('2018', (8107, 2307)), ('2018', (2209, 1916)), ('2018', (13110, 12909)), ('2018', (4606, 4052)), ('2018', (111, 109)), ('2018', (4193, 3912)), ('2018', (174, 131)), ('2018', (18507, 1958)), ('2018', (328, 231)), ('2018', (7808, 3412)), ('2018', (10957, 3138)), ('2018', (20871, 4027)), ('2018', (4809, 312)), ('2018', (801, 93)), ('2018', (10102, 1218)), ('2018', (10664, 3014)), ('2018', (1661, 681)), ('2018', (418, 84)), ('2018', (2367, 829)), ('2018', (8859, 2707)), ('2018', (0, 0)), ('2018', (236, 98)), ('2018', (714, 211)), ('2018', (1692, 446)), ('2018', (819, 302)), ('2018', (289, 53)), ('2018', (46, 8)), ('2018', (137, 20)), ('2018', (29, 22)), ('2018', (71, 19)), ('2018', (116, 33)), ('2018', (81, 10)), ('2018', (104, 26)), ('2018', (5, 2)), ('2018', (10, 7)), ('2018', (8, 0))]
{'2014': (4, 0), '2015': (12, 0), '2016': (21, 1), '2017': (7, 2), '2018': (8, 0)}
ANSWER
Answered 2021-Jul-16 at 20:14While creating the dictionary you can sum all the respective values and then iterate to calculate the percentages
QUESTION
I'm using a MainActivity that links to many activies. The first time that you push on a button from the MainActivity to go to another activity, it takes 2-3 seconds to load. After the first time, you can do everything by loading activities in less than 1 second (as I expected).
I don't know how to solve this, since I'm new in Android Studio and in the stack trace there isn't something that could make me understand the problem.
Here is the stack trace:
...ANSWER
Answered 2021-Jan-23 at 14:24In the above stacktrace, please read this warning:
2021-01-23 00:56:10.168 31264-31264/it.iovara.trainassistant I/Choreographer: Skipped 93 frames! The application may be doing too much work on its main thread.
This means that, you need to refactor your code such to ensure that minimal work is being done on main thread.
It seems that, your Main Activity OR the logic behind the 'Button` which navigates to another activity consist of long operations.
If you have any heavy work/calculations in your code then use background thread.
Cleanup the code in your both activity and button click logic and then your transition will be quick and smooth.
QUESTION
I'm trying to compile some code using glew.h and glext.h. Here's a minimal example:
...ANSWER
Answered 2020-Nov-25 at 17:39I'm trying to compile some code using glew.h and glext.h.
Don't do that. These are two different tools that both do the same thing. They are not intended to be compatible with each other, and neither is expected to work in the presence of the other (in the same source file).
You are either using GLEW or you're manually loading function pointers through glext.h. Pick one.
QUESTION
I am using UUID datatype for generating alpha numeric primary key. Following is the code:
...ANSWER
Answered 2020-Jul-30 at 21:51Not sure where you got a length of 25 from....
c70e22b4-d2a8-11ea-87d0-0242ac130003 is 36 characters...
if you want to store the binary value, you only need 16 bytes, but they must for CHAR(16) FOR BIT DATA
QUESTION
I have a wide table with 161 variables that I would like to transform into a narrow table with only 13 variables. As far as I can tell, I cannot use pivot_longer because I need to input an additional column for Year, and then only select certain columns from the wide table for each row.
I started with a blank data frame:
...ANSWER
Answered 2020-Feb-09 at 01:12The difficulty is that the year is encoded in the column names in different ways, some columns use a 4 digit year, some columns a 2 digit year. (In addition, the names of the last 3 columns of subset seem to be misspelled at all.)
The year naming issue can be solved by reshaping all variables to long format, separating and completing the year from the variable names and then reshaping to the requested format:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install 12306
You can use 12306 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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