buckler | Go library and CLI for making Shields-style badges | Continuous Deployment library
kandi X-RAY | buckler Summary
kandi X-RAY | buckler Summary
Buckler is Shields as a Service (ShaaS, or alternatively, Badges as a Service) for use in GitHub READMEs, or anywhere else. Use buckler with your favorite continuous integration tool, performance monitoring service API, or ridiculous in-joke to surface information. Buckler is available hosted at b.repl.ca. You may use the API to generate shields at runtime, pregenerate them and host them on your own service, or run your own copy of Buckler to protect important company secrets.
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QUESTION
I've been searching through a lot of similar questions, but many are matching columns a bit differently and I haven't been able to adapt the awk commands people are sharing to work as I need.
Simply put I have 2 files, 1 with a list of basically names and duties. The second file has entries of items prepended by the same names listed in file 1, but there can be duplicate entries under a name in file 2.
Here's what some example data close to what I'm working with looks like
File 1
...ANSWER
Answered 2021-Mar-03 at 18:20$ awk -F' - ' 'NR==FNR {sub(" +$","",$2); a[$2]=$1; next}
$1 in a {print a[$1] FS $0}' file1 file2
Priest - Larry Boy - Boots
Priest - Larry Boy - Midnight Haze
Priest - Larry Boy - Plague Bearer
Melee - Jorge - Buckler
Shaman - Chester - Handguards
Caster - Clyde - Cloak
Melee - Don - Stone Pendant
Melee - Don - Rolled
Caster - Beans - Stopwatch
Healer - Rammmma - Splinter collector
Healer - Rammmma - Splinter collector
QUESTION
For each winning item i would like to display its corresponding picture on the GUI. At the moment i am writing a bunch of code shown in the if statements to achieve this. I am sure i can use some sort of a loop to reduce the amount of code but unsure at this point how i can achieve this.
I am also having issues with removing the image after each non-winning roll. My current attempt at solving this is shown in the code provided within the else statement at the bottom.
...ANSWER
Answered 2019-Mar-23 at 15:21You can factor out the duplicated code by using the built-in zip()
function and something along these lines:
QUESTION
I'm trying to extract strings having same patterns from the text
...ANSWER
Answered 2018-Jun-10 at 17:33str_extract_all(gsub("(Scene.*?)\r\n","\\1 ",txt),"Scene.*")
[[1]]
[1] "Scene I. Verona. A public place."
[2] "Scene II. A Street."
[3] "Scene III. Capulet's house."
[4] "Scene IV. A street."
[5] "Scene V. Capulet's house."
[6] "Scene I. A lane by the wall of Capulet's orchard."
[7] "Scene II. Capulet's orchard."
[8] "Scene III. Friar Laurence's cell."
[9] "Scene IV. A street."
[10] "Scene V. Capulet's orchard."
[11] "Scene VI. Friar Laurence's cell."
[12] "Scene I. A public place."
[13] "Scene II. Capulet's orchard."
[14] "Scene III. Friar Laurence's cell."
[15] "Scene IV. Capulet's house"
[16] "Scene V. Capulet's orchard."
[17] "Scene I. Friar Laurence's cell."
[18] "Scene II. Capulet's house."
[19] "Scene III. Juliet's chamber."
[20] "Scene IV. Capulet's house."
[21] "Scene V. Juliet's chamber."
[22] "Scene I. Mantua. A street."
[23] "Scene II. Verona. Friar Laurence's cell."
[24] "Scene III. Verona. A churchyard; in it the monument of the Capulets."
QUESTION
I'm having hard time trying to find if I can do this. So, from one table, I want to use GROUP BY only if the w.type is 'object' the other object don't have to be grouped.
...ANSWER
Answered 2017-Oct-03 at 21:25You mention you've tried a UNION, but unless I'm just tired and missing something, does this not work?
QUESTION
Currently learning data science with SQLite and Pandas. Working on a political contributions dataset. I'm wondering what is the purpose of WHERE contributors.candidate_id = candidates.id
in the code below when joining two tables. Given my aim is to extract contributors for a particular candidate and include their name from another table, would the output not be the same without this condition?
ANSWER
Answered 2017-Jul-09 at 17:19The sytax of the FROM
clause, alone, would cause every row of the contributors
table to be joined to every row of the candidates
table. The WHERE
clause limits the join to only those pairs of rows with the same candidate ID.
The form of your FROM
and WHERE
clauses is not as clear as more modern SQL syntax, which would express this as
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