[FEATURE] Perform Data Analytics on Output Generated JSON #8#10
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shubhamk-intel wants to merge 3 commits intointel:mainfrom
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[FEATURE] Perform Data Analytics on Output Generated JSON #8#10shubhamk-intel wants to merge 3 commits intointel:mainfrom
shubhamk-intel wants to merge 3 commits intointel:mainfrom
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Analysing JSON data from 2 different ROM images in the form of Pie chart and bar graph view of various parameters. This implementation allows us to see comparative analysis of 2 binary files. With the help of pie chart and bar graphs, we can analyze various components of section types and file types. Implementation for intel#8 Signed-off-by: Kumar, Shubham <shubham.k@intel.com>
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| exit() | ||
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| # Opening 1st JSON file | ||
| first_file = open(sys.argv[1]) |
Check warning
Code scanning / CodeQL
File is not always closed
| # Opening 1st JSON file | ||
| first_file = open(sys.argv[1]) | ||
| # Opening 2nd JSON file | ||
| second_file = open(sys.argv[2]) |
Check warning
Code scanning / CodeQL
File is not always closed
gahan9
reviewed
Apr 27, 2023
| count_filetype_fv.append(list_file_type[0].count(search_key_filetype_fv)) | ||
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| if count_filetype_driver[0] > 0: | ||
| print(f'{count_filetype_driver[0]} occurences of {search_key_filetype_driver} in {sys.argv[1]}') |
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It's better to use argument parser module instead of manually parsing arguments.
Also if given more preference to Function API... it'll be more scalable solution
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Analysing JSON data from 2 different ROM images in the form of Pie chart and bar graph view of various parameters.
This implementation allows us to see comparative analysis of 2 binary files. With the help of pie chart and bar graphs, we can analyze various components of section types and file types.
Implementation for #8