tigre | Tigre is a helper to always call the correct webdriver | Functional Testing library

by dunossauro Python Version: Current License: MIT

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

kandi X-RAY | tigre Summary

tigre is a Python library typically used in Testing, Functional Testing, Selenium applications. tigre has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tigre build file is not available. You can download it from GitHub.

Tigre is a helper to instantiate your selenium webdriver at the right time.

Support

Quality

Security

License

Reuse

Support

tigre has a low active ecosystem.

It has 33 star(s) with 10 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 2 have been closed. On average issues are closed in 37 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tigre is current.

Quality

tigre has 0 bugs and 0 code smells.

Security

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

tigre code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tigre 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

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

tigre has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

tigre saves you 83 person hours of effort in developing the same functionality from scratch.

It has 214 lines of code, 47 functions and 14 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed tigre and discovered the below as its top functions. This is intended to give you an instant insight into tigre implemented functionality, and help decide if they suit your requirements.

Get attribute value .
Build a webdriver instance .
Convert attr to caps .
Initialize capabilities .
Get environment variable .
Return capabilities .

Get all kandi verified functions for this library.

tigre Key Features

No Key Features are available at this moment for tigre.

tigre Examples and Code Snippets

No Code Snippets are available at this moment for tigre.

Community Discussions

Trending Discussions on tigre

Flask file structure css js img

count rows per condition from another data frame

using a part of json for decoding in swift

Chloropeth map in R not working out, I think the problem is in merging the data

How to store value in variables while looping list of dicts

Angular Mat Table doesnt show all data in the row

Php Array 6 by 6 exploding

Use "IS IN" between 2 Spark dataframe columns

Pandas - Numbers turn to months

Webscraping AttributeError: 'NoneType' object has no attribute 'text'

QUESTION

Flask file structure css js img

Asked 2021-May-25 at 11:26

...

ANSWER

Answered 2021-May-25 at 08:36

Looks like your issue is with your template: how are you getting the links for your static files? Please, post a snippet from your template.

You should use flask's url_for() [1], [2] function to generated the links correctly, like:

Source https://stackoverflow.com/questions/67684249

QUESTION

count rows per condition from another data frame

Asked 2020-Sep-11 at 20:53

i am trying my hand at a private project with R. Following problem:

I have two data frames. Exemplary the tables of the two frames:

Frame1

...

ANSWER

Answered 2020-Sep-11 at 20:45

Yes, you can calculate the encounters in the second data.frame and then join this with the first data.frame:

Source https://stackoverflow.com/questions/63854002

QUESTION

using a part of json for decoding in swift

Asked 2020-Jun-29 at 14:35

I want to decode only a part of json string with or without decoder in Swift. My API Response is

...

ANSWER

Answered 2020-Jun-29 at 14:35

Use Codable. Create a decodable struct model corresponding to your JSON like this:

Source https://stackoverflow.com/questions/62639987

QUESTION

Chloropeth map in R not working out, I think the problem is in merging the data

Asked 2020-Jan-29 at 00:19

I'm trying to do a chloropeth map following this guide: https://www.r-graph-gallery.com/327-chloropleth-map-from-geojson-with-ggplot2.html

I mixed a bit of the tutorial with this answer(Chloropleth map with geojson and ggplot2), since I wasn't getting the result I expected. The cities were being filled with the same color, and it seemed as R wasn't understanding the data as numeric, and filled every city that had at least 1 user with the default color. (tried using as.numeric, didnt work either)

I downloaded "users by city" data from my website from Google Analytics using

...

ANSWER

Answered 2020-Jan-28 at 22:09

It looks like you have a couple relatively large values, while most are small. This causes 'skewing' of your color scale in a way that looks less interesting. Instead of graphing number of users, consider mapping based on a quantile .

Here is an implementation of grouping into quantiles using cut2() from Hmisc. In this case, values are cut into 5 groups.

Source https://stackoverflow.com/questions/59954168

QUESTION

How to store value in variables while looping list of dicts

Asked 2019-Jul-31 at 18:22

I want to solve the following problem. I have variable data_json which contain json data of following structure

...

ANSWER

Answered 2019-Jul-31 at 18:22

id["homeTeam"] and id["awayTeam"] aren't lists (there are no square brackets around them), they're just single dictionaries. So you don't need to loop over them.

Source https://stackoverflow.com/questions/57295193

QUESTION

Angular Mat Table doesnt show all data in the row

Asked 2019-Jul-30 at 11:22

I am trying to bind the data from static file, to a mat-table component from Angular Material.

Problem.

Not all data are shown in the corresponding rows, just part of it.

Result

Component TS

...

ANSWER

Answered 2019-Jul-30 at 11:22

If you just want to display the complete text without it being cut off you can do the following:

Surround your long text with a span tag:

Source https://stackoverflow.com/questions/57257483

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

Use "IS IN" between 2 Spark dataframe columns

Asked 2019-Jan-14 at 15:36

I have the above dataframe:

...

ANSWER

Answered 2018-Jan-28 at 23:32

You can use array_contains:

Source https://stackoverflow.com/questions/48488463

QUESTION

Pandas - Numbers turn to months

Asked 2018-May-04 at 19:50

When i convert my pandas dataframe to csv, some numbers turn to months. Screenshot

It only happens when it converts to csv.

This is my code:

...

ANSWER

Answered 2018-May-04 at 19:43

How are you opening the CSV to see the data in it? If you're opening in Excel it might be converting the actual CSV data of (1-4) to (4-Jan). Have you tried opening in a text editor?

Source https://stackoverflow.com/questions/50181895

QUESTION

Webscraping AttributeError: 'NoneType' object has no attribute 'text'

Asked 2018-May-03 at 23:22

i'm webscraping a soccer schedule from this page.

This is my code:

...

ANSWER

Answered 2018-May-03 at 23:22

You cannot use that selector if you only want to parse the timetable, since the leaderboard also has elements with a class named det.

This is how you can do it:

Source https://stackoverflow.com/questions/50164240

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

Vulnerabilities

No vulnerabilities reported

Install tigre

You can download it from GitHub.
You can use tigre 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.

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: