lotte | Automated , headless browser testing | Functional Testing library

by StanAngeloff JavaScript Version: 0.2.3 License: Non-SPDX

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kandi X-RAY | lotte Summary

lotte is a JavaScript library typically used in Testing, Functional Testing, Selenium applications. lotte has no bugs, it has no vulnerabilities and it has low support. However lotte has a Non-SPDX License. You can install using 'npm i lotte' or download it from GitHub, npm.

Lotte is a headless, automated testing framework built on top of [PhantomJS][phantom] and inspired by [Ghostbuster][ghostbuster]. It adds jQuery-like methods and chaining, more assertion logic and an extensible core. Tests can be written in either JavaScript or [CoffeeScript][coffee]. Lotte comes with tools for accessing the DOM, evaluating arbitrary code, simulating mouse and keyboard input. Tests are sandboxed and run asynchronously. Blocking methods are available to simulate dependencies and to control the flow of execution. This project is still highly experimental. Using it may cause your computer to blow up. [Seriously.][license].

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Quality

Security

License

Reuse

Support

lotte has a low active ecosystem.

It has 96 star(s) with 8 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 6 have been closed. On average issues are closed in 86 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lotte is 0.2.3

Quality

lotte has 0 bugs and 0 code smells.

Security

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

lotte code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lotte has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

lotte releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

lotte saves you 33 person hours of effort in developing the same functionality from scratch.

It has 90 lines of code, 0 functions and 21 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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lotte Key Features

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lotte Examples and Code Snippets

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Community Discussions

Trending Discussions on lotte

python How to query all Booleans in two dimensional list

For loop dataframe: how to print index names instead of number i and j?

Angular 10: Dynamically add input element for nested FormArray inside FormBuilder

Bootstrap : Why is my col-md-6 not working?

Large gap between columns in D3js column chart

Php Array 6 by 6 exploding

for loop with lxml code used for scraping shows 'list index out of range' error but works for 2 instances

extracting value from specific node in html using VBScript

Can you hide output from a (not-automatically generated) join table using Sequelize.js?

number of skyscrapers for each country

QUESTION

python How to query all Booleans in two dimensional list

Asked 2021-May-14 at 13:44

So I want to create a while loop that will stop once all the Booleans inside a two dimensional list are true (a dictionary specifically).

This is the dictionary I am trying to query.

...

ANSWER

Answered 2021-May-14 at 13:14

What He3lixxx said is correct; the comprehension was in the wrong order.

Source https://stackoverflow.com/questions/67534581

QUESTION

For loop dataframe: how to print index names instead of number i and j?

Asked 2020-Oct-25 at 12:18

I have a dataframe:

Index of rows are all names of people.
Index of columns are all ratings 1-10 on 7 different questions.

So, the dataframe consists of all numbers 1-10: A number for each question (column) for each person (row). It looks like this:

...

ANSWER

Answered 2020-Oct-25 at 12:18

It is quite strightforward

you can use the dataframe method iterrows to iterate your rows, and then work on the single row to extract your knowledge. For completeness I generated an example dataframe to demonstrate the behaviour:

Source https://stackoverflow.com/questions/64523229

QUESTION

Angular 10: Dynamically add input element for nested FormArray inside FormBuilder

Asked 2020-Sep-23 at 09:37

Here's the link to my StackBlitz Demo App

I am trying to dynamically add input fields using FormBuilder array() method.

To get a clear vision look at my ngOnInit() and dependent methods

...

ANSWER

Answered 2020-Sep-23 at 07:27

In the stackblitz you made, thanks for that, I can add a question mark toyour ngFor items. This solves the error on stackblitz

Source https://stackoverflow.com/questions/64022795

QUESTION

Bootstrap : Why is my col-md-6 not working?

Asked 2020-Mar-26 at 09:44

I have a little problem with my website. I want a responsive site, by using Bootstrap. In my mobile version the two columns need to be on top of each other, what is correct now. But, on my desktop version, the columns need to bo next to eachother. I thought col-md-6 was the right way to do this, but something went wrong... Can anyone explain to me what I'm doing wrong.?

...

ANSWER

Answered 2020-Mar-26 at 09:38

Plz, add div row class between two div columns.

Source https://stackoverflow.com/questions/60864210

QUESTION

Large gap between columns in D3js column chart

Asked 2020-Mar-21 at 17:08

In this codepen I am trying to create a column chart with scaleBand for the x and width. But, I have a large gap between the second and third columns. Why is it doing that? The full D3 code is below but the codepen also has the data that I am using for the column chart. Thank you.

...

ANSWER

Answered 2020-Mar-21 at 17:08

It seems your domain array was not mapped correctly. Rather use your xScale using computed arrays which will avoid any spelling mistakes / special character interpretation.

Using this solves it.

Source https://stackoverflow.com/questions/60790574

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

QUESTION

for loop with lxml code used for scraping shows 'list index out of range' error but works for 2 instances

Asked 2019-Jan-04 at 19:26

we are python beginners. We have a list of links/websites with donald trumps utterances. Every link represents an whole interview/speech,etc. We now want to access those sites, scrape them and create a text file for every link. At the moment our code does that for 2 or 3 of the links but then just shows this error:

...

ANSWER

Answered 2019-Jan-04 at 19:26

Here's a modified version of your script.

code.py:

Source https://stackoverflow.com/questions/54043232

QUESTION

extracting value from specific node in html using VBScript

Asked 2018-Oct-08 at 06:36

Is there any way to extract DomXPath of specific html elements using Vbscript in Internet Explorer???

...

ANSWER

Answered 2018-Oct-08 at 06:36

You may try to use CSS Selectors:

Source https://stackoverflow.com/questions/52643103

QUESTION

Can you hide output from a (not-automatically generated) join table using Sequelize.js?

Asked 2018-Sep-07 at 20:04

I am using Feathersjs backend framework with Sequelize as ORM. Using Sequelize join tables of n:m relations can be generated 'automatically' (from hereon called 'Approach A') with the belongsToMany association, however I followed an also advocated alternative approach ('Approach B'), i.e. explicitly defining the join table with 2 belongsTo associations and using hasMany associations from the two tables you want to join to the joint table.

This works fine. However my output looks like this:

...

ANSWER

Answered 2018-Sep-03 at 15:39

Need use attributes

Source https://stackoverflow.com/questions/52150349

QUESTION

number of skyscrapers for each country

Asked 2018-Aug-10 at 09:39

I am a beginner in Power BI. I am trying to create a column with number of skyscrapers for each country but dont know how to do it.

...

ANSWER

Answered 2018-Aug-09 at 09:37

Create a calculated measure to count the number of skyscrapers using DAX:

=COUNTA([Building Name])

Then on the report, drag and drop the Country and the the new measure into a graph.

Source https://stackoverflow.com/questions/51760944

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

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