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TOP > Product Specifications > Usable Fonts and Barcodes > Fonts > OCR-B Font. OCR-B Font. The OCR-B font is a bitmap font. The basic size varies ... This code ensures that any call to Userfind with the given id will return @user Since this is just what we have in the application code (Listing 714), the stub will cause RSpec to intercept the call to Userfind and, instead of hitting the database, return @user instead Many Rails programmers, especially RSpec users, prefer this stubbing approach because it separates the controller tests from the model layer Indeed, the Rails 23 version of this book uses stubs, along with the closely related technique of message expectations After gaining more experience with stubs and expectations, and especially after fielding lots of questions from readers of the Rails 23 Tutorial confused by these issues, I have concluded that stubbing and related techniques are not worth the trouble Figuring out exactly when to stub things out is difficult, and message expectations are incredibly subtle and error-prone (see, eg, Box 81 in the Rails 23 Tutorial book) To the common objection, But now the controller tests hit the test database! , I now find myself saying: So what In my experience it has never mattered I see no compelling reason not to hit the model layer in the controller tests, especially when it leads to much simpler tests If you are interested in learning stubbing and message expectation techniques, I recommend reading the Ruby on Rails 23 Tutorial book Otherwise, I suggest not worrying about enforcing a full separation of the model and controller layers in Rails tests Although the controller tests in the rest of this book will hit the test database, at a conceptual level it will always be clear which part of MVC is being tested By the way, in principle the tests should run faster when the controllers don t hit the database, and for the full Rails Tutorial sample application test suite they do -by around two-tenths of a second. tesseract ocr tutorial javascriptkdzwinel/JS-OCR-demo: JavaScript optical character ... - GitHub
JavaScript optical character recognition demo. Contribute to kdzwinel/JS-OCR-demo development by creating an account on GitHub. ocr html tags Tesseract.js | Pure Javascript OCR for 100 Languages!
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NET is a light-weight barcode generating software .Related: Creating QR Code ASP.NET Image, Make QR Code .NET WinForms , VB.NET QR Code Generator Data advance (though not to strncmp), this complexity is unnecessary; we know the counts are right so checking for the \O wastes time Third, s t r c h r is also complex, since it must look for the character and also watch for the \O byte that terminates the message For a given call to isspam, the message is fixed, so time spent looking for the \O is wasted since we know where the message ends Finally, although strncmp, s t r c h r , and s t r l e n are all efficient in isolation, the overhead of calling these functions is comparable to the cost of the calculation they will perform It's more efficient to do all the work in a special, carefully written version of s t r s t r and avoid calling other functions altogether These sorts of problems are a common source of performance trouble-a routine or interface works well for the typical case, but performs poorly in an unusual case that happens to be central to the program at issue The existing s t r s t r was fine when both the pattern and the string were short and changed each call, but when the string is long and fixed, the overhead is prohibitive With this in mind, s t r s t r was rewritten to walk the pattern and message strings together looking for matches, without calling subroutines The resulting implementation has predictable behavior: it is slightly slower in some cases, but much faster in the spam filter and, most important, is never terrible To verify the new implementation's correctness and performance, a performance test suite was built This suite included not nly simple examples like searching for a word in a sentence, but also pathological cases such as looking for a pattern of a single x in a string of a thousand e's and a pattern of a thousand x's in a string of a single e, both of which can be handled badly by naive implementations Such extreme cases are a key part of performance evaluation The library was updated with the new s t r s t r and the sparn filter ran about 30% faster, a good payoff for rewriting a single routine Unfortunately, it was still too slow When solving problems, it's important to ask the right question Up to now, we've been asking for the fastest way to search for a textual pattern in a string But the real problem is to search for a large, fixed set of textual patterns in a long, variable string Put that way, s t r s t r is not so obviously the right solution The most effective way to make a program faster is to use a better algorithm With a clearer idea of the problem, it's time to think about what algorithm would work best The basic loop, f o r ( i = 0 ; i < npat; i++) i f (strstr(mesg, p a t [ i ] ) != NULL) return 1; scans down the message npat independent times; assuming it doesn't find any matches, it examines each byte of the message npat times, for a total of s t r l en (mesg) m p a t comparisons. 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