I'd like to use part to handle expressions of different length but have not been able to find anything in the documentation that addresses how to determine the number of parts of an expression.
I do have an upper bound for the number of parts so, in this particular case, I could loop over the terms until I get an error; however, I was wondering if there is a more direct method?
I can't believe this, but it appears length does the trick.
I assumed it was limited to lists because it returns an error for single numbers, because they are atoms. Apparently my brain decided "doesn't work with atoms" to mean "only work with lists."
However, this does mean that neither part nor length will work if the expression only has one part, so that case has to be handled separately.
I would still be interested in knowing if there is a solution that will work in all cases, so I won't mark this as the answer, just yet.
Related
In writing a grammar/parser for a regex, I'm wondering why the following constructions are both syntactically and semantically valid in the regex syntax (at least as far as I can understand it)?
Repetitions of a character class, such as:
Repetitions of a zero-width assertion, such as:
Assertions at a bogus position, such as:
To me, this sort of seems like having a syntax that would allow having a construction like SELECT SELECT SELECT SELECT SELECT col FROM tbl. In other words, why isn't the regex syntax defined as more strict than it is in practice?
To start with, that's not a very good analogy. Your statement with multiple SELECT keywords is not, as far as I know, part of the SQL grammar, so it's simply ungrammatical. Repeated elements in a character class are more like the SQL construct:
SELECT * FROM table WHERE Value IN (1, 2, 3, 2, 3, 2, 3)
I think most (if not all) SQL processors would allow that. You could argue that it would be nice if a warning message were issued, but the usual SQL interface (where a query is sent from client to server and a result returned) does not leave space for a warning.
It's certainly the case that repeated characters in a character class are often an indication that the regular expression was written by a novice with only a fuzzy idea of what a character class is. If you hang out in SO's flex-lexer long enough, you'll see how often students write regular expressions like [a-z|A-Z|0-9], or even [begin|end]. If flex detected duplicate characters in character classes, those mistakes would receive warnings, which might or might not be useful to the student coder. (Reading and understanding warning messages is not, apparently, an innate skill.) But it needs to be asked, Who is the target audience for a tool like Flex, and I think the answer is not "impatient beginners who won't read documentation". Certainly, a non-novice programmer might also make that kind of mistake, usually as a result of a typo, but it's not common and it will probably easily be detected during debugging.
If you've already started to work on a parser for regular expressions, you should already know why these rules are not usually a feature of regular expression libraries. Every rule you place on a syntax must be:
precisely defined,
documented,
implemented,
acted upon appropriately (which may mean complicating the interface in order to allow for warnings).
and all of that needs to be thoroughly tested.
That's a lot of work to prevent something which is not even technically an error. And catching those errors (if they are errors) will probably make the "grammar" for the regular expressions context-sensitive. (In other words, you can't write a context-free grammar which forbids duplication inside a character class.)
Moreover, practically all of those expressions might show up in the wild, typically in the case that the regular expression was programmatically generated. For example, suppose you have a set of words, and you want to write a regular expression which will match any sequence of characters not in any of the words. The simple solution is [^firstsecondthirdwordandtherest]+. Of course, you could have gone to the trouble of deduping the individual letters in the words, -- a simple task in some programming languages, but more complicated in others -- but should it be necessary?
With respect to your other two examples, with repeated and non-terminal $, there are actual regex libraries in which those interpreted in some different way. Many older regex libraries (including (f)lex) only treat $ as a zero-length end-of-string assertion if it appears at the very end of the regex; such libraries would treat all of those $s other than the last one in a$$$$$$$$ as matching a literal $. Others treat $ as an end-of-line assertion, rather than an end-of-string assertion. But I don't know of any which treat those as errors.
There's a pretty good argument that a didactic tool, such as regex101, might usefully issue warnings for doubtful regular expressions, a task usually called "linting". But for a production regex library, there is little to be gained, and a lot of pain.
For those who are not familiar with what a homophone is, I provide the following examples:
our & are
hi & high
to & too & two
While using the Speech API included with iOS, I am encountering situations where a user may say one of these words, but it will not always return the word I want.
I looked into the [alternativeSubstrings] (link) property wondering if this would help, but in my testing of the above words, it always comes back empty.
I also looked into the Natural Language API, but could not find anything in there that looked useful.
I understand that as a user adds more words, the Speech API can begin to infer context and correct for these, but my use case will not work well with this since it will often only want one or two words at most, limiting the effectiveness of context.
An example of contextual processing:
Using the words above on their own, I get these results:
are
hi
to
However, if I put together the following sentence, you can see they are all wrong:
I am too high for our ladder
Ideally, I would either get a list back containing [are, our], [to, too, two], [hi, high] for each transcription segment, or would have a way to compare a string against a function that supports homophones.
An example of this would be:
if myDetectedWord == "to" then { ... }
Where myDetectedWord can be [to, too, two], and this function would return true for each of these.
This is a common NLP dilemma, and I'm not so sure what might be your desired output in this application. However, you may want to bypass this problem in your design/architecture process, if possible and if you could. Otherwise, this problem is to turn into a challenge.
Being said that, if you wish to really get into it, I like this idea of yours:
string against a function
This might be more efficient and performance friendly.
One way, I'd be liking to solve this problem would be though RegEx processing, instead of using endless loops and arrays. You could maybe prototype loops and arrays to begin with and see how it works, then you might want to use regular expression for gaining performance.
You could for instance define fixed arrays in regular expressions and quickly check against your string (word by word, maybe using back-referencing) and you can add many boundaries in your expressions for string processing, as you wish.
Your fixed arrays also can be designed based on probabilities of occurring certain words in certain part of a string. For instance,
^I
vs
^eye
The probability of I being the first word is much higher than that of eye.
The probability of I in any part of a string is higher than that of eye, also.
You might want to weight words based on that.
I'd say the key would be that you'd narrow down your desired outputs as focused as possible and increase accuracy, [maybe even with 100 words if possible], if you wish to have a good/working application.
Good project though, I hope you like/enjoy the challenge.
I'm relatively new to Ruby, so this is a pretty general question. I have found through the Ruby Docs page a lot of methods that seem to do the exact same thing or very similar. For example chars vs split(' ') and each vs map vs collect. Sometimes there are small differences and other times I see no difference at all.
My question here is how do I know which is best practice, or is it just personal preference? I'm sure this varies from instance to instance, so if I can learn some of the more important ones to be cognizant of I would really appreciate that because I would like to develop good habits early.
I am a bit confused by your specific examples:
map and collect are aliases. They don't "do the exact same thing", they are the exact same thing. They are just two names for the same method. You can use whatever name you wish, or what reads best in context, or what your team has decided as a Coding Standard. The Community seems to have settled on map.
each and map/collect are completely different, there is no similarity there, apart from the general fact that they both operate on collections. map transform a collection by mapping every element to a new element using a transformation operation. It returns a new collection (an Array, actually) with the transformed elements. each performs a side-effect for every element of the collection. Since it is only used for its side-effect, the return value is irrelevant (it might just as well return nil like Kernel#puts does, in languages like C, C++, Java, C♯, it would return void), but it is specified to always return its receiver.
split splits a String into an Array of Strings based on a delimiter that can be either a Regexp (in which case you can also influence whether or not the delimiter itself gets captured in the output or ignored) or a String, or nil (in which case the global default separator gets used). chars returns an Array with the individual characters (represented as Strings of length 1, since Ruby doesn't have an specific Character type). chars belongs together in a family with bytes and codepoints which do the same thing for bytes and codepoints, respectively. split can only be used as a replacement for one of the methods in this family (chars) and split is much more general than that.
So, in the examples you gave, there really isn't much similarity at all, and I cannot imagine any situation where it would be unclear which one to choose.
In general, you have a problem and you look for the method (or combination of methods) that solve it. You don't look at a bunch of methods and look for the problem they solve.
There'll typically be only one method that fits a specific problem. Larger problems can be broken down into different subproblems in different ways, so it is indeed possible that you may end up with different combinations of methods to solve the same larger problem, but for each individual subproblem, there will generally be only one applicable method.
When documentation states that 2 methods do the same, it's just matter of preference. To learn the details, you should always start with Ruby API documentation
I'm making a web app where the point is to change a given word by one letter. For example, if I make a post by selecting the word: "best," then the first reply could be "rest," while the one after that should be "rent," "sent", etc. So, the word a user enters must have changed by one letter from the last submitted word. It would be constantly evolving.
Right now you can make a game and respond just by typing a word. I coded up a custom validation using functionality from the Amatch gem:
http://flori.github.com/amatch/doc/index.html
Posts have many responses, and responses belong to a post.
here's the code:
def must_have_changed_by_one_letter
m = Amatch::Sellers.new(title.strip)
errors.add_to_base("Sorry, you must change the last submitted word by one letter")
if m.match(post.responses.last.to_s.strip) != 1.0
end
When I try entering a new response for a test post I made (original word "best", first response is "rest") I get this:
ActiveRecord::RecordInvalid in ResponsesController#create
Validation failed: Sorry, you must change the last submitted word by one letter
Any thoughts on what might be wrong?
Thanks!
Looks like there are a couple of potential issues here.
For one, is your if statement actually on a separate line than your errors.add_to_base... statement? If so, your syntax is wrong; the if statement needs to be in the same line as the statement it's modifying. Even if it is actually on the correct line, I would recommend against using a trailing if statement on such a long line; it will make it hard to find the conditional.
if m.match(post.responses.last.to_s.strip) != 1.0
errors.add_to_base("Sorry, you must change the last submitted word by one letter")
end
Second, doing exact equality comparison on floating point numbers is almost never a good idea. Because floating point numbers involve approximations, you will sometimes get results that are very close, but not quite exactly equal, to a given number that you are comparing against. It looks like the Amatch library has several different classes for comparing strings; the Sellers class allows you to set different weights for different kinds of edits, but given your problem description, I don't think you need that. I would try using the Levenshtein or Hamming distance instead, depending on your exact needs.
Finally, if neither of those suggestions work, try writing out to a log or in the response the exact values of title.strip and post.responses.last.to_s.strip, to make sure you are actually comparing the values that you think you're comparing. I don't know the rest of your code, so I can't tell you whether those are correct or not, but if you print them out somewhere, you should be easily able to check them yourself.
Seems like it's inconsistent in the lists module. For example, split has the number as the first argument and the list as the second, but sublists has the list as the first argument and the len as the second argument.
OK, a little history as I remember it and some principles behind my style.
As Christian has said the libraries evolved and tended to get the argument order and feel from the impulses we were getting just then. So for example the reason why element/setelement have the argument order they do is because it matches the arg/3 predicate in Prolog; logical then but not now. Often we would have the thing being worked on first, but unfortunately not always. This is often a good choice as it allows "optional" arguments to be conveniently added to the end; for example string:substr/2/3. Functions with the thing as the last argument were often influenced by functional languages with currying, for example Haskell, where it is very easy to use currying and partial evaluation to build specific functions which can then be applied to the thing. This is very noticeable in the higher order functions in lists.
The only influence we didn't have was from the OO world. :-)
Usually we at least managed to be consistent within a module, but not always. See lists again. We did try to have some consistency, so the argument order in the higher order functions in dict/sets match those of the corresponding functions in lists.
The problem was also aggravated by the fact that we, especially me, had a rather cavalier attitude to libraries. I just did not see them as a selling point for the language, so I wasn't that worried about it. "If you want a library which does something then you just write it" was my motto. This meant that my libraries were structured, just not always with the same structure. :-) That was how many of the initial libraries came about.
This, of course, creates unnecessary confusion and breaks the law of least astonishment, but we have not been able to do anything about it. Any suggestions of revising the modules have always been met with a resounding "no".
My own personal style is a usually structured, though I don't know if it conforms to any written guidelines or standards.
I generally have the thing or things I am working on as the first arguments, or at least very close to the beginning; the order depends on what feels best. If there is a global state which is chained through the whole module, which there usually is, it is placed as the last argument and given a very descriptive name like St0, St1, ... (I belong to the church of short variable names). Arguments which are chained through functions (both input and output) I try to keep the same argument order as return order. This makes it much easier to see the structure of the code. Apart from that I try to group together arguments which belong together. Also, where possible, I try to preserve the same argument order throughout a whole module.
None of this is very revolutionary, but I find if you keep a consistent style then it is one less thing to worry about and it makes your code feel better and generally be more readable. Also I will actually rewrite code if the argument order feels wrong.
A small example which may help:
fubar({f,A0,B0}, Arg2, Ch0, Arg4, St0) ->
{A1,Ch1,St1} = foo(A0, Arg2, Ch0, St0),
{B1,Ch2,St2} = bar(B0, Arg4, Ch1, St1),
Res = baz(A1, B1),
{Res,Ch2,St2}.
Here Ch is a local chained through variable while St is a more global state. Check out the code on github for LFE, especially the compiler, if you want a longer example.
This became much longer than it should have been, sorry.
P.S. I used the word thing instead of object to avoid confusion about what I was talking.
No, there is no consistently-used idiom in the sense that you mean.
However, there are some useful relevant hints that apply especially when you're going to be making deeply recursive calls. For instance, keeping whichever arguments will remain unchanged during tail calls in the same order/position in the argument list allows the virtual machine to make some very nice optimizations.