Sapporo | Cellmodel-driven collectionview manager | iOS library

by nghialv Swift Version: 3.0.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Sapporo Summary

Sapporo is a Swift library typically used in Mobile, iOS applications. Sapporo has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Cellmodel-driven collectionview manager

Support

Quality

Security

License

Reuse

Support

Sapporo has a low active ecosystem.

It has 246 star(s) with 19 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 5 have been closed. On average issues are closed in 48 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Sapporo is 3.0.0

Quality

Sapporo has no bugs reported.

Security

Sapporo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Sapporo is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Sapporo releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Sapporo

Get all kandi verified functions for this library.

Sapporo Key Features

No Key Features are available at this moment for Sapporo.

Sapporo Examples and Code Snippets

No Code Snippets are available at this moment for Sapporo.

Community Discussions

Trending Discussions on Sapporo

Does moment.js allow me to derive a timezone abbreviation from this string "(GMT-10:00) Hawaii"?

Adding p-values to a polr model (for modelsummary)

Efficient way to manipulate lists in a pandas dataframe

Does the 'counter-reset' property always have to be defined on the parent container?

Keep same ratios between groups in training and test datasets

1) How do I sort multiple tables in a list by descending order? 2) How do I create dataframes from one list of multiple tables?

How to format datetime in angular2?

How to order a table based on null values?

How can I highlight correct and incorrect answers to an online quiz?

Php Array 6 by 6 exploding

QUESTION

Does moment.js allow me to derive a timezone abbreviation from this string "(GMT-10:00) Hawaii"?

Asked 2021-Jun-02 at 10:34

I have an object with 2 properties available - timestamp and timezone, and they usually look something like this:

...

ANSWER

Answered 2021-Jun-02 at 10:34

A quick workaround will be: to check

time.timezone.substring(0, 4) ==="(GMT"

and if true add GMT to the returned value before "PM" / "AM"

something like this:

Source https://stackoverflow.com/questions/67802281

QUESTION

Adding p-values to a polr model (for modelsummary)

Asked 2021-May-06 at 05:49

I know that polr does not give p-values because they are not very reliable. Nevertheless, I would like to add them to my modelsummary (Vignette) output. I know to get the values as follows:

...

ANSWER

Answered 2021-May-05 at 13:12

I think the easiest way to achieve this is to define a tidy_custom.polr method as described here in the documentation.. For instance, you could do:

Source https://stackoverflow.com/questions/67400435

QUESTION

Efficient way to manipulate lists in a pandas dataframe

Asked 2021-Jan-11 at 17:25

I have a DataFrame that starts like the following:

Column1 Column2 0 Berlin ['Hamburg', 'Munich', 'Berlin', 'Stuttgart'] 1 Tokyo ['Tokyo', 'Osaka', 'Kyoto', 'Sapporo'] 2 Los Angeles ['New York', 'Chicago', 'Boston', 'Los Angeles'] 3 London ['Birmingham', 'London', 'Glasgow', 'Liverpool']

I would like to delete cities that exists in Column1 from Column2 lists such a way that DataFrame becomes like this:

Column1 Column2 0 Berlin ['Hamburg', 'Munich', 'Stuttgart'] 1 Tokyo ['Osaka', 'Kyoto', 'Sapporo'] 2 Los Angeles ['New York', 'Chicago', 'Boston'] 3 London ['Birmingham', 'Glasgow', 'Liverpool']

Since looping row by row is against the dataframe logic, what is the best way to approach this problem?

...

ANSWER

Answered 2021-Jan-11 at 17:25

Try explode, query and gropuby:

Source https://stackoverflow.com/questions/65671637

QUESTION

Does the 'counter-reset' property always have to be defined on the parent container?

Asked 2020-Nov-03 at 20:39

My understanding is that the counter-reset is set on the parent container to define a counter. Then, you set the counter-increment with the name of the counter on each child-element you want incremented, and then of course you use the counter name for the content property to have it displayed.

But in the example given in w3schools, the counter-reset is set on a sibling, not a parent, and i can't understand how does that work out?

...

ANSWER

Answered 2020-Nov-03 at 20:39

From the specification

The scope of a counter starts at the first element in the document that has a 'counter-reset' for that counter and includes the element's descendants and its following siblings with their descendants. However, it does not include any elements in the scope of a counter with the same name created by a 'counter-reset' on a later sibling of the element or by a later 'counter-reset' on the same element.

And

If 'counter-increment' or 'content' on an element or pseudo-element refers to a counter that is not in the scope of any 'counter-reset', implementations should behave as though a 'counter-reset' had reset the counter to 0 on that element or pseudo-element.

I think both of the above cover all your questions.

Source https://stackoverflow.com/questions/64667859

QUESTION

Keep same ratios between groups in training and test datasets

Asked 2020-Jun-10 at 10:09

For a machine learning project, I would like to split my data into train and test sets keeping the fraction of a particular group consistent among the sets. I have created a dummy data.frame of 40 rows to explain myself. Here, for the group "Region", 20% of the data is "North America" , 50% "Europe, 20% Asia and 10% Oceania. I want to end up with a random subset, e.g. 25% of the entire data, in which the percentage composition of the group "Region" remains unchanged.

In other words, I want to start with this:

...

ANSWER

Answered 2020-Jun-10 at 10:09

The createDataPartition() function from the caret package can be used to assign observations to training and test groups while preserving the percentage distribution within each class of a split variable. We'll illustrate its use with the AlzheimerDisease data from Applied Predictive Modeling.

Source https://stackoverflow.com/questions/62292557

QUESTION

1) How do I sort multiple tables in a list by descending order? 2) How do I create dataframes from one list of multiple tables?

Asked 2019-Nov-11 at 10:56

I have multiple tables in a list.

1) How do I sort all tables in the list by descending order? (Ideally, I'd keep my object as a list).

EDIT: Sort items in each table by descending order.

...

ANSWER

Answered 2019-Nov-11 at 10:56

To sort each component, use lapply:

sorted <- lapply(x, sort, decreasing = TRUE)
To convert the tables to dataframes, use as.data.frame. This gives you a list of dataframes, then changes the names:

df <- lapply(sorted, as.data.frame) names(df) <- paste0("df_", names(sorted))

If you also want these as separate variables (which is probably not a good idea), you could use

for (n in names(df)) assign(n, df[[n]])
To get the head of each element of the list, use lapply again:

lapply(df, head)

This gives output starting out as

$df_brand Var1 Freq 1 Nissin 381 2 Nongshim 98 3 Maruchan 76 4 Mama 71 5 Paldo 66 6 Myojo 63

$df_style Var1 Freq 1 Pack 1531 2 Bowl 481 3 Cup 450 4 Tray 108 5 Box 6 6 2

Source https://stackoverflow.com/questions/58782871

QUESTION

How to format datetime in angular2?

Asked 2019-Oct-16 at 10:00

My server returns the json as follows,

...

ANSWER

Answered 2019-Oct-16 at 10:00

you can use Pipes to format date

Source https://stackoverflow.com/questions/42009767

QUESTION

How to order a table based on null values?

Asked 2019-Sep-09 at 16:06

I have an warehouse table. It has a column named level. I want to sort it ascending and if level is null then it should sort descending based on id.

For example. my table has following records.

...

ANSWER

Answered 2019-Sep-09 at 16:06

You can use :

Source https://stackoverflow.com/questions/57847661

QUESTION

How can I highlight correct and incorrect answers to an online quiz?

Asked 2019-Jun-04 at 21:23

I am creating a simple quiz about country capitals and would like to have the website highlight the correct answers (in green) for each question after the user hits the submit button as well as highlight any incorrect answers chosen (in red). I have searched on this site under similar questions, but the answers provided confused me.

I would like to have the background colors activated along with the alert message that gives the percentage of correct answers. Currently, the alert works perfectly fine, but I would like assistance for the background colors.

...

ANSWER

Answered 2019-Jun-04 at 20:33

You're currently trying to style the input radio button (the clickable circle), but are expecting the text to be styled instead. Traditionally, you should have the text and input for each choice wrapped in a tag. Then apply the css style to each label. I did the first one for you in your code below.

Also, add for="..." to each label, so that when the text is clicked, that corresponding input box is also selected. You will also need to add an id="..." to each input for this to work.

Source https://stackoverflow.com/questions/56450731

QUESTION

Php Array 6 by 6 exploding

Asked 2019-Mar-15 at 12:00

array:546 [   0 => "554"   1 => "15.03 05:00"   2 => "LKU"   3 => "Emelec"   4 => "0 - 0 0-0"   5 => "Huracan"   6 => "0-0"   7 => "553" 8 => "15.03 03:30"   9 => "BOL"   10 => "Guabira"   11 => "3 - 1 1-1"  12 => "Royal Pari Sion"   13 => "1-1"   14 => "552"   15 => "15.03 03:30"   16 => "BRK"   17 => "Vasco Da Gama"   18 => "3 - 2 1-1"   19
=> "Avai"   20 => "1-1"   21 => "551"   22 => "15.03 03:30"   23 => "COLC "   24 => "Depor Cucuta"   25 => "2 - 1 0-0"   26 => "Alianza Petrolera"   27 => "0-0"   28 => "550"   29 => "15.03 03:00"   30 => "LKU"   31 => "Atletico Pr"   32 => "4 - 0 2-0"   33 => "Jorge Wilstermann"   34 => "2-0"   35 => "549"   36 => "15.03 03:00"   37 => "CCC"   38 => "Kansas"   39 => "3 - 0 0-0"   40 => "Independiente Chorrera"   41 => "0-0"   42 => "548"   43 => "15.03 01:15"   44 => "BOL"   45 => "Sport Boys Warnes"   46 => "1 - 5 0-2"   47 => "Blooming"   48 => "0-2"   49 => "547"   50 => "15.03 01:00"   51 => "LKU"   52 => "Penarol"   53 => "4 - 0 3-0"   54 => "San Jose Oruro"   55 => "3-0"   56 => "544"   57 => "14.03 23:00"   58 => "AVL"   59 => "Villarreal"   60 => "2 - 1 1-0"   61 => "Zenit"   62 => "1-0"   63 => "543"   64 => "14.03 23:00"   65 => "AVL"   66 => "Slavia Prag"   67
=> "2 - 2 1-1"   68 => "Sevilla"   69 => "1-1"   70 => "542"   71 => "14.03 23:00"   72 => "AVL"   73 => "Inter"   74 => "0 - 1 0-1"   75
=> "E.Frankfurt"   76 => "0-1"   77 => "541"   78 => "14.03 23:00"   79 => "AVL"   80 => "Benfica"   81 => "1 - 0 0-0"   82 => "Dinamo Zagreb"   83 => "0-0"   84 => "540"   85 => "14.03 23:00"   86 => "AVL"   87 => "Arsenal"   88 => "3 - 0 2-0"   89 => "Rennes"   90 => "2-0"   91 => "539"   92 => "14.03 22:30"   93 => "FR3"   94 => "Chambly"   95 => "0 - 0 0-0"   96 => "Laval"   97 => "0-0"   98 => "536"   99 => "14.03 20:55"   100 => "AVL"   101 => "Salzburg"   102
=> "3 - 1 1-1"   103 => "Napoli"   104 => "1-1"   105 => "535"   106 => "14.03 20:55"   107 => "AVL"   108 => "Krasnodar"   109 => "1 - 1 0-0"   110 => "Valencia"   111 => "0-0"   112 => "534"   113 => "14.03 20:55"   114 => "AVL"   115 => "Dynamo Kiev"   116 => "0 - 5 0-3"   117 => "Chelsea"   118 => "0-3"   119 => "533"   120 => "14.03 20:00"  121 => "DAK"   122 => "Nastved"   123 => "1 - 3 1-2"   124 => "Aalborg"   125 => "1-2"   126 => "532"   127 => "14.03 16:30"   128
=> "BLRK "   129 => "Isloch"   130 => "1 - 0 1-0"   131 => "Bate Borisov"   132 => "1-0"   133 => "531"   134 => "14.03 18:15"   135 => "POLK "   136 => "Puszcza Niepolomice"   137 => "0 - 1 0-1"   138 => "Miedz Legnica"   139 => "0-1"   140 => "530"   141 => "14.03 05:55"   142 => "MXC"   143 => "Club America"   144 => "2 - 0 0-0"   145 => "Guadalajara"   146 => "0-0"   147 => "529"   148 => "15.03 04:00"   149 => "MXC"   150 => "Juarez"   151 => "2 - 2 2-1"   152 => "Veracruz"   153 => "2-1"   154 => "528"   155 => "14.03 03:30"   156
=> "LKU"   157 => "Univ. Catolica"   158 => "2 - 1 1-0"   159 => "Rosario Central"   160 => "1-0"   161 => "527"   162 => "14.03 03:30" 163 => "LKU"   164 => "River Plate"   165 => "0 - 0 0-0"   166 => "Palestino"   167 => "0-0"   168 => "526"   169 => "14.03 03:30"   170
=> "LKU"   171 => "Internacional"   172 => "2 - 0 2-0"   173 => "Alianza Lima"   174 => "2-0"   175 => "525"   176 => "14.03 03:30"   177 => "LKU"   178 => "Flamengo"   179 => "3 - 1 1-0"   180 => "Ldu Quito"   181 => "1-0"   182 => "524"   183 => "14.03 03:30"   184 => "BOL"   185 => "The Strongest"   186 => "1 - 1 0-1"   187 => "Bolivar" 188 => "0-1"   189 => "523"   190 => "14.03 03:30"   191 => "BOL"   192 => "Oriente Petrolero"   193 => "4 - 1 3-1"   194 => "Always Ready"   195 => "3-1"   196 => "522"   197 => "14.03 03:30"   198 => "BRK"   199 => "Ceara"   200 => "1 - 3 1-1"   201 => "Corinthians"   202 => "1-1"   203 => "521"   204 => "14.03 03:00"   205 => "CCC"   206 => "Atlanta Utd"   207 => "1 - 0 0-0"   208 => "Monterrey"   209
=> "0-0"   210 => "520"   211 => "14.03 01:15"   212 => "LKU"   213 => "San Lorenzo"   214 => "1 - 0 0-0"   215 => "Atletico Junior"   216 => "0-0"   217 => "519"   218 => "15.03 01:15"   219 => "LKU"   220 => "Cruzeiro"   221 => " -  0-0"   222 => "Depor Lara"   223 => "0-0"   224 => "518"   225 => "14.03 01:15"   226 => "LKU"   227 => "Cerro Porteno"   228 => "2 - 1 1-0"   229 => "Zamora"   230 => "1-0"   231
=> "517"   232 => "14.03 01:15"   233 => "BOL"   234 => "Real Potosi"   235 => "2 - 2 1-1"   236 => "Aurora"   237 => "1-1"   238 => "516"   239 => "14.03 01:15"   240 => "BRK"   241 => "Botafogo Pb"   242 => "0
- 2 0-0"   243 => "Londrina Pr"   244 => "0-0"   245 => "513"   246 => "13.03 23:00"   247 => "İNC"   248 => "West Bromwich"   249 => "3 - 0 1-0"   250 => "Swansea City"   251 => "1-0"   252 => "512"   253 => "13.03 23:00"   254 => "COLC "   255 => "Deportivo Pasto"   256 => "0
- 2 0-0"   257 => "America De Cali"   258 => "0-0"   259 => "511"   260 => "13.03 22:45"   261 => "İNC"   262 => "Qpr"   263 => "1 - 2 0-0"   264 => "Rotherham"   265 => "0-0"   266 => "510"   267 => "13.03 22:45"   268 => "İNC"   269 => "Nottingham F"   270 => "1 - 3 1-2"   271 => "Aston Villa"   272 => "1-2"   273 => "509"   274 => "13.03 22:45"   275 => "İNC"   276 => "Norwich"   277 => "3 - 2 2-1"   278 => "Hull"   279 => "2-1"   280 => "508"   281 => "13.03 22:45"   282 => "İNC"   283 => "Middlesbrough"   284 => "1 - 2 1-0"   285 => "Preston"   286 => "1-0"   287 => "507"   288 => "13.03 22:45"   289
=> "İNC"   290 => "Derby County"   291 => "0 - 0 0-0"   292 => "Stoke"   293 => "0-0"   294 => "506"   295 => "13.03 22:45"   296 => "İNC"   297 => "Birmingham"   298 => "0 - 2 0-2"   299 => "Millwall"   300 => "0-2"   301 => "505"   302 => "13.03 21:00"   303 => "AL3"   304 => "Sonnenhof Grossaspach"   305 => "2 - 3 0-0"   306 => "Wehen"   307 => "0-0"   308 => "504"   309 => "13.03 21:00"   310 => "AL3"   311 => "Karlsruher"   312 => "0 - 3 0-2"   313 => "Aalen"   314 => "0-2"   315 => "503"   316 => "13.03 21:00"   317 => "AL3"   318 => "Kaiserslautern"   319 => "0 - 0 0-0"   320 => "Braunschweig"   321 => "0-0"   322 => "502"   323 => "13.03 21:00"   324 => "AL3"   325 => "Jena"   326 => "1 - 1 0-0"   327 => "Sportfreunde Lotte"   328 => "0-0"   329 => "501"   330 => "13.03 21:00"   331 => "AL3"   332 => "Hallescher"   333 => "2 - 3 2-1"   334 => "E.Cottbus"   335 => "2-1"  336 => "500"   337 => "13.03 20:30"   338 => "HOL"   339 => "Ajax"   340 => "2 - 1 1-0"   341 => "Zwolle"   342 => "1-0"   343 => "499"   344 => "13.03 20:00"   345 => "POLK "   346 => "Rakow Czestochowa"   347 => "1 - 1 1-1"   348 => "Legia Warszawa"   349 => "1-1"   350 => "498"   351 => "13.03 20:00"   352 => "MACK "   353 => "Ferencvaros"   354 => "1 - 2 1-1"   355 => "Mol Vidi"   356 => "1-1"   357 => "497"   358 => "13.03 20:00"   359 => "DAK"   360 => "Kolding Kobenhavn"   361
=> "0 - 2 0-1"   362 => "Midtjylland"   363 => "0-1"   364 => "496"   365 => "13.03 17:00"   366 => "MACK "   367 => "Puskas Academy"   368
=> "1 - 1 1-0"   369 => "Soroksar"   370 => "1-0"   371 => "495"   372 => "13.03 16:30"   373 => "MACK "   374 => "Budaorsi"   375 => "1 - 2 1-0"   376 => "Budapest Honved"   377 => "1-0"   378 => "493"   379 => "13.03 15:00"   380 => "AŞMP "   381 => "Beijing Guoan"   382 => "0 - 0 0-0"   383 => "Urawa"   384 => "0-0"   385 => "492"   386 => "13.03 14:00"   387 => "AŞMP "   388 => "Buriram Utd"   389 => "1 - 0 0-0"   390 => "Jeonbuk Hm"   391 => "0-0"   392 => "491"   393 => "13.03 13:00"   394 => "JLK"   395 => "Vissel Kobe"   396 => "0 - 0 0-0"   397 => "Cerezo Osaka"   398 => "0-0"   399 => "490"   400 => "13.03 13:00"   401 => "JLK"   402 => "Shonan"   403 => "2 - 0 1-0"   404 => "Yokohama Marinos"   405 => "1-0"   406 => "489"   407 => "13.03 13:00"   408 => "JLK"   409 => "Shimizu"   410 => "1 - 0 0-0"   411 => "Iwata"   412 => "0-0"   413 => "488"   414 => "13.03 13:00"   415 => "JLK"   416 => "Sendai"   417 => "2 - 1 2-0"   418 => "Fc Tokyo"   419
=> "2-0"   420 => "487"   421 => "13.03 13:00"   422 => "JLK"   423 => "Sapporo"   424 => "0 - 0 0-0"   425 => "V Varen Nagasaki"   426 => "0-0"   427 => "486"   428 => "13.03 13:00"   429 => "JLK"   430 => "Nagoya"   431 => "2 - 1 2-1"   432 => "Oita Trinita"   433 => "2-1"   434 => "485"   435 => "13.03 13:00"   436 => "JLK"   437 => "Kashiwa"  438 => "0 - 1 0-0"   439 => "Sagan Tosu"   440 => "0-0"   441 => "484" 442 => "13.03 13:00"   443 => "JLK"   444 => "Gamba Osaka"   445 => "2
- 1 2-1"   446 => "Matsumoto Yamaga"   447 => "2-1"   448 => "483"   449 => "13.03 13:00"   450 => "AŞMP "   451 => "Ulsan"   452 => "1 - 0 0-0"   453 => "Shanghai Sipg"   454 => "0-0"   455 => "482"   456 => "13.03 13:00"   457 => "AŞMP "   458 => "Kawasaki"   459 => "1 - 0 0-0"   460 => "Sydney"   461 => "0-0"   462 => "480"   463 => "13.03 06:05"   464 => "MXC"   465 => "Monarcas"   466 => "0 - 1 0-0"   467
=> "Club Tijuana"   468 => "0-0"   469 => "479"   470 => "13.03 06:00"   471 => "CCC"   472 => "Tigres Uanl"   473 => "1 - 0 0-0"   474 => "Houston"   475 => "0-0"   476 => "478"   477 => "13.03 04:00"   478
=> "CCC"   479 => "Santos Laguna"   480 => "4 - 2 0-2"   481 => "New York"   482 => "0-2"   483 => "477"   484 => "13.03 04:00"   485 => "MXC"   486 => "Pumas Unam"   487 => "3 - 0 1-0"   488 => "Dorados"   489 => "1-0"   490 => "476"   491 => "13.03 03:30"   492 => "LKU"   493 => "Sporting Cristal"   494 => "1 - 1 1-1"   495 => "Godoy Cruz"   496 => "1-1"   497 => "475"   498 => "13.03 03:30"   499 => "LKU"   500 => "Nacional Asuncion"   501 => "1 - 0 0-0"   502 => "Atletico Mg" 503 => "0-0"   504 => "474"   505 => "13.03 03:30"   506 => "LKU"   507 => "Gremio"   508 => "0 - 1 0-1"   509 => "Libertad"   510 => "0-1"   511 => "473"   512 => "13.03 01:15"   513 => "LKU"   514 => "Palmeiras"   515 => "3 - 0 1-0"   516 => "Melgar"   517 => "1-0"   518 => "472"   519 => "13.03 01:15"   520 => "LKU"   521 => "Olimpia Asuncion"   522 => "1 - 1 1-1"   523 => "Univ De Concepcion"   524 => "1-1"   525 => "471"   526 => "13.03 01:15"   527 => "LKU"   528 => "Boca Juniors"   529 => "3 - 0 0-0"   530 => "Deportes Tolima"   531
=> "0-0"   532 => "191"   533 => "13.03 23:00"   534 => "ŞMP"   535 => "Bayern Münih"   536 => "1 - 3 1-1"   537 => "Liverpool"   538 => "1-1"   539 => "190"   540 => "13.03 23:00"   541 => "ŞMP"   542 => "Barcelona"   543 => "5 - 1 2-0"   544 => "Lyon"   545 => "2-0" ]

...

ANSWER

Answered 2019-Mar-15 at 12:00

Try This,

Source https://stackoverflow.com/questions/55182110

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Sapporo

Using Carthage Insert github nghialv/Sapporo to your Cartfile Run carthage update
Using CocoaPods Insert followings to your Podfile use_frameworks! target 'YOUR_TARGET_NAME' do pod 'Sapporo' end Run pod install
Using submodule

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: