bobcat | automated testing framework for functional testing | Functional Testing library
kandi X-RAY | bobcat Summary
kandi X-RAY | bobcat Summary
We created this framework at Cognifide after years of experience with multiple simpler solutions. After reaching a certain point of maturity, we have decided it was time for a tool developed properly, by bringing the knowledge of both our QA engineers and developers. We wanted our framework to be maintainable, stable and scalable. Bobcat relies heavily on the Page Object pattern, which is an embedded concept in most of its internals. We can model our websites easily and create a neat Page Object tree structure, scoping Page Objects inside other Page Objects, reducing the effort of selector maintenance. You can read more about it here. We make all the magic possible thanks to dependency injection with Google's Guice. Additionally, we wanted to make it as scalable as possible, so thread-safety was one of the key principles during the development.
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QUESTION
print(df.sample(50)):
match_datetime country league home_team away_team home_odds draw_odds away_odds run_time home_score away_score
72170 2021-10-17 12:30:00 Ukraine Persha Liga Alliance Uzhhorod 1.22 5.62 9.71 2021-10-17 09:22:20.212731 NaN NaN
100398 2021-11-02 14:35:00 Saudi Arabia Division 1 Al Qadisiya Bisha 1.61 3.61 4.94 2021-11-02 09:13:18.768604 2.0 1.0
33929 2021-09-11 23:00:00 Panama LPF Veraguas Plaza Amador 2.75 2.75 2.71 2021-09-10 23:47:54.682982 1.0 1.0
12328 2021-08-15 15:30:00 Poland Ekstraklasa Slask Wroclaw Leczna 1.74 3.74 4.59 2021-08-14 22:44:26.136608 0.0 0.0
81500 2021-10-24 13:00:00 Italy Serie D - Group A Caronnese Saluzzo 1.69 3.60 4.28 2021-10-23 13:37:16.920175 2.0 2.0
143370 2021-12-05 14:00:00 Poland Division 1 Chrobry Glogow Widzew Lodz 3.36 3.17 2.15 2021-11-30 17:40:24.833519 0.0 0.0
175061 2022-01-08 18:00:00 Spain Primera RFEF - Group 1 R. Union Extremadura UD 1.26 4.40 18.00 2022-01-08 17:00:46.662761 0.0 1.0
21293 2021-08-29 16:00:00 Italy Serie B Cittadella Crotone 2.32 3.11 3.31 2021-08-26 18:04:46.221393 4.0 2.0
97427 2021-11-01 17:00:00 Israel Leumit League M. Nazareth Beitar Tel Aviv 1.92 3.26 3.75 2021-10-30 09:40:08.966330 4.0 2.0
177665 2022-01-13 12:30:00 Egypt Division 2 - Group C Said El Mahalla Al Magd 4.12 3.08 1.94 2022-01-12 17:53:33.570126 0.0 0.0
69451 2021-10-17 05:00:00 South Korea K League 1 Gangwon Gwangju FC 2.06 3.38 3.65 2021-10-15 09:55:54.578112 NaN NaN
4742 2021-08-10 20:30:00 Peru Liga 2 Deportivo Coopsol Grau 3.14 3.49 2.06 2021-08-10 18:14:01.996860 0.0 2.0
22266 2021-08-29 13:00:00 France Ligue 1 Angers Rennes 2.93 3.27 2.56 2021-08-27 12:26:34.904374 2.0 0.0
46412 2021-09-26 04:00:00 Japan J2 League Okayama Blaublitz 2.24 2.90 3.63 2021-09-23 09:08:26.979783 1.0 1.0
133207 2021-11-27 21:15:00 Bolivia Division Profesional Palmaflor Blooming 1.51 4.05 5.10 2021-11-25 18:22:28.275844 3.0 0.0
140825 2021-11-28 11:00:00 Spain Tercera RFEF - Group 6 Valencia B Torrellano 1.58 3.56 5.26 2021-11-28 19:54:40.066637 2.0 0.0
226985 2022-03-04 00:30:00 Argentina Copa de la Liga Profesional Central Cordoba Rosario Central 2.36 3.26 2.86 2022-03-02 17:23:10.014424 0.0 1.0
137226 2021-11-28 12:45:00 Greece Super League 2 Apollon Pontou PAOK B 3.37 3.25 2.01 2021-11-27 15:13:05.937815 0.0 3.0
182756 2022-01-22 10:30:00 Turkey 1. Lig Umraniyespor Menemenspor 1.40 4.39 7.07 2022-01-19 17:25:27.128331 2.0 1.0
89895 2021-10-28 16:45:00 Netherlands KNVB Beker Ajax Cambuur 9.10 5.55 1.26 2021-10-27 07:46:56.253996 0.0 5.0
227595 2022-03-06 17:00:00 Israel Ligat ha'Al Ashdod Maccabi Petah Tikva 2.30 3.21 3.05 2022-03-02 17:23:10.014424 NaN NaN
57568 2021-10-02 13:00:00 Estonia Meistriliiga Kalju Legion 1.58 4.10 4.84 2021-10-02 10:55:35.287359 2.0 2.0
227035 2022-03-04 19:00:00 Denmark Superliga FC Copenhagen Randers FC 1.70 3.84 5.06 2022-03-02 17:23:10.014424 NaN NaN
108668 2021-11-07 13:30:00 Germany Oberliga Mittelrhein Duren Freialdenhoven 1.35 5.20 6.35 2021-11-06 17:37:37.629603 2.0 0.0
86270 2021-10-25 18:00:00 Belgium Pro League U21 Lommel SK U21 Lierse K. U21 3.23 3.84 1.92 2021-10-26 01:22:31.111441 0.0 0.0
89437 2021-11-01 02:10:00 Colombia Primera A America De Cali Petrolera 1.86 2.92 4.60 2021-10-27 07:41:24.427246 NaN NaN
13986 2021-08-21 13:00:00 France Ligue 2 Dijon Toulouse 3.92 3.51 1.94 2021-08-16 13:22:02.749887 2.0 4.0
105179 2021-11-06 15:00:00 England NPL Premier Division Atherton South Shields 3.90 3.42 1.82 2021-11-05 10:01:28.567328 1.0 1.0
142821 2021-12-01 12:30:00 Bulgaria Vtora liga Marek Septemvri Simitli 1.79 3.38 4.35 2021-11-30 17:40:24.833519 2.0 2.0
45866 2021-09-24 00:30:00 Venezuela Primera Division Dep. Tachira Portuguesa 1.96 3.60 3.22 2021-09-23 09:08:26.979783 4.0 1.0
76100 2021-10-22 16:30:00 Denmark 1st Division Hvidovre IF Koge 1.91 3.56 3.81 2021-10-21 08:43:12.445245 NaN NaN
115896 2021-11-14 16:00:00 Spain Tercera RFEF - Group 6 Olimpic Xativa Torrellano 2.78 2.89 2.39 2021-11-13 12:21:45.955738 1.0 0.0
156159 2021-12-12 16:00:00 Spain Segunda RFEF - Group 1 Marino de Luanco Coruxo FC 2.19 3.27 3.07 2021-12-10 09:26:45.001977 0.0 0.0
18240 2021-08-21 12:00:00 Germany Regionalliga West Rodinghausen Fortuna Koln 3.25 3.60 2.00 2021-08-21 03:30:43.193978 NaN NaN
184913 2022-01-22 10:00:00 World Club Friendly Zilina B Trinec 3.56 4.14 1.78 2022-01-22 16:44:32.650325 0.0 3.0
16782 2021-08-22 23:05:00 Colombia Primera A Petrolera Dep. Cali 3.01 3.00 2.44 2021-08-19 18:24:24.966505 2.0 3.0
63847 2021-10-10 09:30:00 Spain Tercera RFEF - Group 7 Carabanchel RSD Alcala 4.39 3.42 1.75 2021-10-09 12:03:50.720013 NaN NaN
7254 2021-08-12 16:45:00 Europe Europa Conference League Hammarby Cukaricki 1.72 3.87 4.13 2021-08-11 23:48:31.958394 NaN NaN
82727 2021-10-24 14:00:00 Lithuania I Lyga Zalgiris 2 Neptunas 1.76 3.78 3.35 2021-10-24 12:02:06.306279 1.0 3.0
43074 2021-09-22 18:00:00 Ukraine Super Cup Shakhtar Donetsk Dyn. Kyiv 2.57 3.49 2.59 2021-09-19 09:39:56.624504 NaN NaN
65187 2021-10-11 18:45:00 World World Cup Norway Montenegro 1.56 4.17 6.28 2021-10-11 10:56:09.973470 NaN NaN
120993 2021-11-18 00:00:00 USA NISA Maryland Bobcats California Utd. 2.76 3.23 2.39 2021-11-17 20:36:26.562731 1.0 1.0
201469 2022-02-12 15:00:00 England League One AFC Wimbledon Sunderland 3.30 3.48 2.17 2022-02-10 17:47:36.501159 1.0 1.0
142180 2021-12-01 19:45:00 Scotland Premiership St. Mirren Ross County 2.06 3.25 3.85 2021-11-29 18:28:22.249662 0.0 0.0
4681 2021-08-10 18:30:00 Europe Champions League Young Boys CFR Cluj 1.48 4.29 6.92 2021-08-10 18:14:01.996860 3.0 1.0
67321 2021-10-17 13:00:00 Spain LaLiga Rayo Vallecano Elche 1.78 3.64 4.99 2021-10-13 11:22:34.979378 NaN NaN
27499 2021-09-04 14:00:00 Iceland Inkasso-deildin Kordrengir Fjolnir 2.18 3.66 2.82 2021-09-02 23:28:49.414126 1.0 4.0
48962 2021-09-25 21:00:00 Mexico Liga Premier Serie B Uruapan Lobos Huerta 1.83 3.69 3.70 2021-09-25 13:02:58.238466 NaN NaN
65636 2021-10-16 17:00:00 Switzerland Super League Young Boys Luzern 1.26 6.04 9.43 2021-10-11 10:56:09.973470 NaN NaN
17333 2021-08-21 14:00:00 Finland Kakkonen Group A Atlantis Kiffen 1.57 4.29 4.42 2021-08-20 12:41:03.159846 1.0 1.0
ANSWER
Answered 2022-Mar-05 at 01:38If I understand correctly, you would like to filter the dataframe to retain, for each run_time, the last two rows (or up to two rows) by match_datetime.
Simplified answer
This can be done relatively easily without any join, using GroupBy.tail(). (Note, my original answer was using GroupBy.rank(), but this is simpler, although slower):
QUESTION
I'm learning python as my first language, and I'm working with Python crash course as my first book.
In try it yourself 5-10 section there is a task to create two lists and compare the second one to the first using for loop, to check whether or not the username is in the system (ignoring the case).
...ANSWER
Answered 2021-Aug-21 at 11:31Your current way to compute the list current_users_lower:
QUESTION
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 13:12I 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:
QUESTION
I want to select nodes from an XML that have consecutive child nodes with values matching with the respective words from my search term.
Here is a sample XML:
...ANSWER
Answered 2021-Apr-06 at 18:15I could improvise my code. Please let me know if you have a better solution.
QUESTION
I need to get rows that contains exact column value cat and lion and a column value containing saurus
For exact match I know this
...ANSWER
Answered 2020-Dec-24 at 13:20I'm always leery about using drop. There is nothing really wrong with it, but as often in Python I find it easier to manage when retaining what you want instead of dropping it (e.g.: [k for k in lst if wanted(k)], same for dicts, etc.)
So, for your case, how about:
QUESTION
I have a Google Cloud Storage bucket that looks like:
...ANSWER
Answered 2020-Oct-23 at 15:25The file structure you see in the GCS is only visual. As mentioned in the GCP documentation:
To the service, the object gs://your-bucket/abc/def.txt is just an object that happens to have "/" characters in its name. There is no "abc" directory; just a single object with the given name.
Therefore, TestBlog in your case is not really an object on its own.
In order to rename the object you will first need to copy it, giving it a new name, and then remove the original:
QUESTION
What is the best way to fix the issue where the form fields values cant be seen when selected when the table fits the screen. I want the table to scroll at least and have the form fields be actually visible to the eye. Specifically you can see this in the innings pitched.
...ANSWER
Answered 2020-Oct-19 at 23:10Take out all .w-100 on the tables and the selects, and set those selects' width as fit-content. You can create a custom class for that:
QUESTION
I have a list of forbidden words. I have to check if one of those forbidden words is inside a given string. My current code working fine partially.
A match should be true only and only if:
- any of the words in the string is an exact match with any of the forbidden words, e.g.: the pool is cold.
- any of the words in the string starts with any of the forbidden words, e.g.: the poolside is yellow.
A match should be false otherwise, and that includes both of these cases which are not currently working fine:
- if any of the words in the string ends with any of the forbidden words, e.g.: the carpool lane is closed.
- if any of the words in the string contains any of the forbidden words, e.g.: the print spooler is not working.
Current code:
...ANSWER
Answered 2020-Oct-18 at 16:35The key is to use \b assertion for word-boundary:
QUESTION
I am trying to create a big regex from many options in a file, to be used in gawk. The goal is to find matches in lines.txt which match ANY of the options in regex.txt
File of lines to be searched
...ANSWER
Answered 2020-Sep-22 at 13:25It makes no sense to also use sed when you're using awk. It sounds like you want something like:
QUESTION
I am getting an OOM error when trying to read a large result set using MyBatis. MyBatis version 3.5 I want to iterate over the cursor instead of loading the entire query result. Does anyone have a working example of returning a cursor from mybatis select instead of entire result.
...ANSWER
Answered 2020-Sep-07 at 07:33Since PostgreSQL driver does not support streaming results (as pointed out by @ave) you most likely want to implement result pagination. This is usually done either by using ORDER BY element_timestamp LIMIT OFFSET or by using keyset pagination. Either of these methods will load smaller batches of results into memory hopefully avoiding OOME by allowing GC to free each batch separately.
However it should be noted that sometimes increasing the available heap memory is the easiest solution. RAM is usually cheaper than programmers time so perhaps you should start by estimating how many records are you trying to process and how much memory is needed.
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