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Sondaggio
How many different/unique MATLAB/Simulink projects have you worked on?
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Hey folks, can I get a job out of it. I am an electrical engineering graduate wanted to pursue Computer Science application, use MATLAB sometimes. I want to earn by using all this knowledge. Please suggest at ratangkp14@gmail.com
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taucv calculation equation?
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What counts as a project? A fileexchange entry that is more than 100 or so lines of code? Or a master's degree? That changes the order of magnitude for my answer
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Like an m-file/app that does one unique job, like find the contact angle of droplets in an image. Not like small utility/helper functions. A masters degree may have several main programs to do a variety of things. One File Exchange submission would be one project. Personally I have about 300 major projects/apps (thousands of lines each) that I've done for work, plus another 400 demos that I've written for Answers that I may post someday.
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I don't know. There are hobby things in MIMT that I've put orders of magnitude more actual time into than the work I did in postgrad research projects. Then again, the work I did back then was done in very condensed timeframes with less understanding of what I was doing and a lot more panic. I could see how the scale of what's implied by the word "project" could be quite subjective.
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Don't over think it. No one is going to audit the accuracy of your response.
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I suspect it will take a while before I get to that level.
I think it is a good sign that I pride myself on trying to make my FEX submissions so robust that even a utility function (like checking for an internet connection or reading a text file) can grow up to be a project.
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I haven't looked at any of your submissions but hopefully you follow the mandatory requirements I tell all the people I teach how to program.
- Use descriptive variable names. No one can maintain or understand an alphabet soup of one or two letter variable names.
- Put in tons of comments. I average 37% of my lines of code are either a comment or have a comment on them, as checked by my attached comment counter app.
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Did either of you modify it to handle block comments, like where you do %{ at the start and %} and the end and no % in between? I don't think I did that, so that would be one good addition.
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I decided to come back to this.
- I used Rik's code to do the file processing, so that should be a big improvement. Block comments should now work, and the detection should be a lot more reliable than last time.
- I fixed the dependency on R2016b+ dir() behavior. Tested back to R2009b.
- It now also gets synopsis size info for function files.
- I also fixed a couple sorting bugs in the last incarnation.
I bet there are still things I missed and more edge cases to find, but it currently seems to handle all the files I throw at it. It's definitely slower than before, but it's also doing a lot more.
Just figured I'd share.
Would either of you object if I ever decided to put this on the FEX (with attribution)? I've given thought to posting my pile of MIMT maintenance tools, and if I did, this would be in the pile.
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I was planning on posting my comment stripper separately, so then you can include it as a separate m-file (or as a link to the FEX/github). If you beat me to it, feel free to include it.
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Well I doubt I'm going to beat anyone to anything, so we'll see. At the moment, checkcomments.m is the most non-MIMT-specific thing in my maintenance toolbox. The other stuff I've thought about still needs a lot of work to make it more generally useful for others. I just figured I'd ask now instead of in 2025 or something.
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I didn't bother, since I never use block comments. I know that Rik's solution is robust, but I also know that it's more complex and that I would have had to modify either one to do the things I wanted. I just took the easy way for now and accepted the risk of error.
I think it would also be useful to collect information about the presence/size of synopses. I just haven't poked at that yet.
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My replacement suggestion deals with block comments (and with edge cases of transpose operations on the same line as a format spec etc). Feel free to have a look.
(although I don't actually use block comments myself)
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Maybe getting a bit O/T, but I tailored that function for my own use. It's generally more configurable, with multiple sorting options and the option to return the info as an array. The console output is a neatly formatted table.
Regarding my prior comment about how my own commenting style skews the percentages, the modified function can count either lines or characters. Counting lines gives a good image of comment distribution, favoring brief trailing comments. Counting characters describes commentary volume, favoring full-line comments.
I'm sure there are mistakes yet, but I think that's enough for the moment. I haven't fixed the R2016b+ dependency yet.
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3. Have a full help synopsis that describes the function usage, its inputs and outputs.
Internal comments are valuable, if not to others, then for one's own documentation. I don't think that reading the code should be required to figure out how use a function. Considering the FEX and all the assignments that show up on the forum, I don't think anybody teaches that (or maybe everyone just uses webdocs instead of help?)
EDIT: This is pretty useful!
- Found 181 files in the 3 folders.
- Overall, in 41875 lines, 9049 lines (21.61 %) had comments.
- Most commented percentage for one file was 65%
- Most commented lines for one file was 991
I tend to prefer prefacing blocks of code with explanatory comments over distributing comments across many lines, so that probably skews things. I also format comments wider than MATLAB wants me to.
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I just had a look myself:
For BibleDownloader, 21% of lines contain comments For BlandAltmanPlot, 38% of lines contain comments For ComputeNonCryptHash, 34% of lines contain comments For ETA_disp, 55% of lines contain comments For findND, 44% of lines contain comments For getUTC, 28% of lines contain comments For GetWritableFolder, 34% of lines contain comments For ifversion, 47% of lines contain comments For isnetavl, 36% of lines contain comments For JSON, 29% of lines contain comments For maximize, 42% of lines contain comments For minify, 39% of lines contain comments For PhotoAnnotation, 33% of lines contain comments For point_to_line_distance, 62% of lines contain comments For readdicomfolder, 31% of lines contain comments For readfile, 36% of lines contain comments For regexp_outkeys, 43% of lines contain comments For RegGrow, 37% of lines contain comments For save2mat, 27% of lines contain comments For sqlite3, 34% of lines contain comments For text2im, 32% of lines contain comments For WBM, 33% of lines contain comments For WindowLevel, 44% of lines contain comments
As with your code, this includes the documentation at the start of the function and averages out to 37.4%. I used a slightly different strategy to count the comments (using the comment stripper I wrote for minify). The resulting drop-in replacement for ProcessOneFile is attached.
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