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[Roman Podolyan <question434360@xxxxxxxxxxxxxxxxxxxxx>]

Question #434360 on Sikuli changed:
https://answers.launchpad.net/sikuli/+question/434360

    Status: Open => Answered

Roman Podolyan proposed the following answer:
1) I use Python dictionary datatype for that. SikuliX supports
dictionaries, including dictionaries for images

Demo code (tested). 
_________
Settings.MinSimilarity = 0.95

image_dictionary = {"sumatra":"sumatra_icon.png" ,"firefox":
"firefox_icon.png", "chrome": "chrome_icon.png" }

for key in image_dictionary.keys():
    if exists(image_dictionary[key]):
        hover(getLastMatch())
_______

"sumatra" here is a dictionary key (a string), and "sumatra_icon.png"
stands for image of Sumatra PDF editor icon.

I go by keys, not by images themselves (which I also could), as I may
need found key needed for some different operation. For instance, the
code can be further enhanced with "message dictionary"  to log some pre-
defined message if Sumatra icon was found, etc:

_________
message_dictionary = {"sumatra":"Sumatra PDF editor" ,"firefox": "Firefox browser", "chrome": "Chrome browser" }
...

print (message_dictionary[key]) + " was found" 
_________

{Note about Java. Java has similar datatype, HashMap, which can be used
in similar construction }.

I prefer dictionary/hashmap for things like these, as string index can
be more helpful than numeric here.


2) Things like 
______
 try {
    fr.click(StaticImages.fn_DisabledCloseDialogNoButton());
   } catch (FindFailed e) {
    LogReport.error("Unable to click on NO button on disabled Close button dialog");
    e.printStackTrace();
   }
____

Can be packed into function

def try_to_click_and_log(key):
     try {
        fr.click(image_dictionary[key]);
       } catch (FindFailed e) {
        LogReport.error(message_dictionary[key]);
        e.printStackTrace();
       }


3) To speed up image search consider if you can restrict search region. For instance, if images you expect can be found only in center part of the screen, you can construct special region for that with Region(x,y,width,height).

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