Using F# to Build a Highly Debuggable Business Rules Engine - f#

The Problem
I have code in F# representing a logical tree. It’s a Business Rules Engine with some fairly simple mathematical functions. I would like to be able to run the rules of the tree many times and see how many times each specific route through the tree is taken.
The requirements are that the base rules should not be changed too much from the simple match statements I’m using at the moment. Tagging the important functions with an attribute would be fine, but adding a call to a logging function at every node is not. I want to be able to run the code in two modes, a highly performant standard mode which just gives answers, and then an “exploratory mode” which gives more detail behind each call. While I don’t mind complicated code to dynamically load and profile the rules, the rules code itself must look simple. Ideally I’d like to not rely on 3rd party libraries - powerpack is ok. The solution must also target the .NET 4.0 runtime.
Potential Solutions
Add a logging call to every function with the function name and arguments. I don’t like this because even if I could disable it in some kind of release mode, it still clutters the rules and means all new code has to be written in an unnatural way.
Each function return its result, and then a list which contains the names of the methods so far called. I don’t like this because it would look unnatural, and would carry a performance hit. I’m sure I could use a computational expression to do a lot of the plumbing, but that violates the requirement to keep the rules simple.
Parse the rules tree using quotations, and then build a new expression which is the old expression with a call to a logging function injected into the site of each tagged function. This is the best thing I’ve got so far, but I’m worried about compiling the resulting quotation so I can run it. I understand (please correct me if I’m wrong) that not all quotations can be compiled. I’d rather not have an unstable process that limits the rules code to a subset of the F# language. If the rules compile, I would like my solution to be able to deal with them.
I know this is a difficult problem with a fairly strict set of requirements, but if anyone has any inspiration for a solution, I would be very grateful.
Edit: Just to give an example of the sort of rules I might be using, if I owned a widget factory producing products A and B the simple following code might be used. I don't want to lose the readability and simplicity of the formulas by adorning this layer with helper functions and hooks.
type ProductType = | ProductA | ProductB
let costOfA quantity =
100.0 * quantity
let costOfB quantity =
if quantity < 100.0 then
20.0 * quantity
else
15.0 * quantity
let calculateCostOfProduct productType quantity =
match productType with
| ProductA -> costOfA quantity
| ProductB -> costOfB quantity

Related

Elixir: rationale behind allowing rebinding of variables

What is the rationale behind allowing rebinding of variables in Elixir, when Erlang doesn't allow that?
Most functional languages don't allow rebinding of variables in the same scope. So Elixir allowing this does definitely give it an non-functional, imperative feel. Erlang's problem is rather lack of scope, or to be more precise that there is only one scope in a whole function clause. We did have serious discussions whether to introduce scope but in the end we decided against it as it was backwards incompatible with the existing system. And developers hate backwards inconsistent changes.
The Erlang way has one serious benefit: when you get it wrong you generally get an error so you can SEE the mistake. This compared just getting strange behaviour when a variable doesn't have the value you expect it to have which is MUCH harder to detect and correct.
Personally I think that the problem of new variable names, for example using the number scheme, is greatly overblown. Compared to the time it takes me to work out WHAT I am going to do changing variable names is trivial. And after a while you just see it without reflecting about it. Honestly.
EDIT:
Also when chaining data through a sequence of functions the actual meaning of the data changes so reusing the same variable name can be very misleading. It can end up just meaning a generic "data I am passing from one function to another".
Here's the rationale straight from the horse's mouth:
http://blog.plataformatec.com.br/2016/01/comparing-elixir-and-erlang-variables/
Because it's simpler.
Take a look at this question posted to the Erlang mailing list in 2009. Specifically this part:
I like pattern matching in the majority of cases, but I find I write
enough code where I need to incrementally update a data structure, and
maintaining that code is a pain when I have code like:
X = foo(),
X1 = bar(X),
X2 = xyzzy(X1),
blah(X2).
and later want to change it to:
X = foo(),
X1 = whee(X),
X2 = bar(X1),
X3 = xyzzy(X2),
blah(X3).
Editor's note--this is the reply to that question.
This goes through IRC a lot. This is a result of poor variable naming
practice, and there is no need to introduce rebinding to "fix" it;
just stop using single letters and counters as variable names.
If for example that was written
FooStateX = foo(),
PostBarX = bar(FooStateX),
OnceXyzziedX = xyzzy(PostBarX),
blah(OnceXyzziedX).
The code demonstrated there isn't all that uncommon in Erlang (note the remark "this goes through IRC a lot"). Elixir's ability to simply rebind names saves us from having to generate new dummy names for things all the time. That's all. It's wise to bear in mind that the original creators of Erlang weren't trying to build a functional language. They were simply pragmatic developers who had a problem to solve. Elixir's approach is simple pragmatism.

Rails - Simplifying calculation models & objects

I have asked a few questions about this recently and I am getting where I need to go, but have perhaps not been specific enough in my last questions to get all the way there. So, I am trying to put together a structure for calculating some metrics based on app data, which should be flexible to allow additional metrics to be added easily (and securely), and also relatively simple to use in my views.
The overall goal is that I will be able to have a custom helper that allows something like the following in my view:
calculate_metric(#metrics.where(:name => 'profit'),#customer,#start_date,#end_date)
This should be fairly self explanatory - the name can be substituted to any of the available metric names, and the calculation can be performed for any customer or group of customers, for any given time period.
Where the complexity arises is in how to store the formula for calculating the metric - I have shown below the current structure that I have put together for doing this:
You will note that the key models are metric, operation, operation_type and operand. This kind of structure works ok when the formula is very simple, like profit - one would only have two operands, #customer.sales.selling_price.sum and #customer.sales.cost_price.sum, with one operation of type subtraction. Since we don't need to store any intermediate values, register_target will be 1, as will return_register.
I don't think I need to write out a full example to show where it becomes more complicated, but suffice to say if I wanted to calculate the percentage of customers with email addresses for customers who opened accounts between two dates (but did not necessarily buy), this would become much more complex since the helper function would need to know how to handle the date variations.
As such, it seems like this structure is overly complicated, and would be hard to use for anything other than a simple formula - can anyone suggest a better way of approaching this problem?
EDIT: On the basis of the answer from Railsdog, I have made some slight changes to my model, and re-uploaded the diagram for clarity. Essentially, I have ensured that the reporting_category model can be used to hide intermediate operands from users, and that operands that may be used in user calculations can be presented in a categorised format. All I need now is for someone to assist me in modifying my structure to allow an operation to use either an actual operand or the result of a previous operation in a rails-esqe way.
Thanks for all of your help so far!
Oy vey. It's been years (like 15) since I did something similar to what it seems like you are attempting. My app was used to model particulate deposition rates for industrial incinerators.
In the end, all the computations boiled down to two operands and an operator (order of operations, parentheticals, etc). Operands were either constants, db values, or the result of another computation (a pointer to another computation). Any Operand (through model methods) could evaluate itself, whether that value was intrinsic, or required a child computation to evaluate itself first.
The interface wasn't particularly elegant (that's the real challenge I think), but the users were scientists, and they understood the computation decomposition.
Thinking about your issue, I'd have any individual Metric able to return it's value, and create the necessary methods to arrive at that answer. After all, a single metric just needs to know how to combine it's two operands using the indicated operator. If an operand is itself a metric, you just ask it what it's value is.

Alpha renaming in many languages

I have what I imagine will be a fairly involved technical challenge: I want to be able to reliably alpha-rename identifiers in multiple languages (as many as possible). This will require special consideration for each language, and I'm asking for advice for how to minimize the amount of work I need to do by sharing code. Something like a unified parsing or abstract syntax framework that already has support for many languages would be great.
For example, here is some python code:
def foo(x):
def bar(y):
return x+y
return bar
An alpha renaming of x to y changes the x to a y and preserves semantics. So it would become:
def foo(y):
def bar(y1):
return y+y1
return bar
See how we needed to rename y to y1 in order to keep from breaking the code? That is why this is a hard problem. It seems like the program would have to have a pretty good knowledge of what constitutes a scope, rather than just doing, say, a string search and replace.
I would also like to preserve as much of the formatting as possible: comments, spacing, indentation. But that is not 100% necessary, it would just be nice.
Any tips?
To do this safely, you need to be able to to determine
all the identifiers (and those things that are not, e.g., the middle of a comment) in your code
the scopes of validity for each identifer
the ability to substitute a new identifier for an old one in the text
the ability to determine if renaming an identifier causes another name to be shadowed
To determine identifiers accurately, you need a least a langauge-accurate lexer. Identifiers in PHP look different than the do in COBOL.
To determine scopes of validity, you have to be determine program structure in practice, since most "scopes" are defined by such structure. This means you need a langauge-accurate parser; scopes in PHP are different than scopes in COBOL.
To determine which names are valid in which scopes, you need to know the language scoping rules. Your language may insist that the identifier X will refer to different Xes depending on the context in which X is found (consider object constructors named X with different arguments). Now you need to be able to traverse the scope structures according to the naming rules. Single inheritance, multiple inheritance, overloading, default types all will pretty much require you to build a model of the scopes for the programs, insert the identifiers and corresponding types into each scope, and then climb from the point of encounter of an identifier in the program text through the various scopes according to the language semantics. You will need symbol tables, inheritance linkages, ASTs, and the ability to navigage all of these. These structures are different from PHP and COBOL, but they share lots of common ideas so you likely need a library with the common concept support.
To rename an identifier, you have to modify the text. In a million lines of code, you need to point carefully. Modifying an AST node is one way to point carefully. Actually, you need to modify all the identifiers that correspond to the one being renamed; you have to climb over the tree to find them all, or record in the AST where all the references exist so they can be found easily. After modifyingy the tree you have to regenerate the source text after modifying the AST. That's a lot of machinery; see my SO answer on how to prettyprint ASTs preseriving all of the stuff you reasonably suggest should be preserved.
(Your other choice is to keep track in the AST of where the text for the string is,
and the read/patch/write the file.)
Before you update the file, you need to check that you haven't shadowed something. Consider this code:
{ local x;
x=1;
{local y;
y=2;
{local z;
z=y
print(x);
}
}
}
We agree this code prints "1". Now we decide to rename y to x.
We've broken the scoping, and now the print statement which referred
conceptually to the outer x refers to an x captured by the renamed y. The code now prints "2", so our rename broke it. This means that one must check all the other identifiers in scopes in which the renamed variable might be found, to see if the new name "captures" some name we weren't expecting. (This would be legal if the print statement printed z).
This is a lot of machinery.
Yes, there is a framework that has almost all of this as well as a number of robust language front ends. See our DMS Software Reengineering Toolkit. It has parsers producing ASTs, prettyprinters to produce text back from ASTs, generic symbol table management machinery (including support for multiple inheritance), AST visiting/modification machinery. Ithas prettyprinting machinery to turn ASTs back into text. It has front ends for C, C++, COBOL and Java that implement name and type resolution (e.g. instanting symbol table scopes and identifier to symbol table entry mappings); it has front ends for many other langauges that don't have scoping implemented yet.
We've just finished an exercise in implementing "rename" for Java. (All the above issues of course appeared). We about about to start one for C++.
You could try to create Xtext based implementations for the involved languages. The Xtext framework provides reliable infrastructure for cross language rename refactoring. However, you'll have to provide a grammar a at least a "good enough" scope resolution for each language.
Languages mostly guarantee tokens will be unique, whatever the context. A naive first approach (and this will break many, many pieces of code) would be:
cp file file.orig
sed -i 's/\b(newTokenName)\b/TEMPTOKEN/g' file
sed -i 's/\b(oldTokenName)\b/newTokenName/g' file
With GNU sed, this will break on PHP. Rewriting \b to a general token match, like ([^a-zA-Z~$-_][^a-zA-Z0-9~$-_]) would work on most C, Java, PHP, and Python, but not Perl (need to add # and % to the token characters. Beyond that, it would require a plugin architecture that works for any language you wanted to add. At some point, there will be two languages whose variable and function naming rules will be incompatible, and at that point, you'll need to do more and more in the plugin.

Is there an idiomatic way to order function arguments in Erlang?

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.

Parsing Source Code - Unique Identifiers for Different Languages? [closed]

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I'm building an application that receives source code as input and analyzes several aspects of the code. It can accept code from many common languages, e.g. C/C++, C#, Java, Python, PHP, Pascal, SQL, and more (however many languages are unsupported, e.g. Ada, Cobol, Fortran). Once the language is known, my application knows what to do (I have different handlers for different languages).
Currently I'm asking the user to input the programming language the code is written in, and this is error-prone: although users know the programming languages, a small percentage of them (on rare occasions) click the wrong option just due to recklessness, and that breaks the system (i.e. my analysis fails).
It seems to me like there should be a way to figure out (in most cases) what the language is, from the input text itself. Several notes:
I'm receiving pure text and not file names, so I can't use the extension as a hint.
The user is not required to input complete source codes, and can also input code snippets (i.e. the include/import part may not be included).
it's clear to me that any algorithm I choose will not be 100% proof, certainly for very short input codes (e.g. that could be accepted by both Python and Ruby), in which cases I will still need the user's assistance, however I would like to minimize user involvement in the process to minimize mistakes.
Examples:
If the text contains "x->y()", I may know for sure it's C++ (?)
If the text contains "public static void main", I may know for sure it's Java (?)
If the text contains "for x := y to z do begin", I may know for sure it's Pascal (?)
My question:
Are you familiar with any standard library/method for figuring out automatically what the language of an input source code is?
What are the unique code "tokens" with which I could certainly differentiate one language from another?
I'm writing my code in Python but I believe the question to be language agnostic.
Thanks
Vim has a autodetect filetype feature. If you download vim sourcecode you will find a /vim/runtime/filetype.vim file.
For each language it checks the extension of the file and also, for some of them (most common), it has a function that can get the filetype from the source code. You can check that out. The code is pretty easy to understand and there are some very useful comments there.
build a generic tokenizer and then use a Bayesian filter on them. Use the existing "user checks a box" system to train it.
Here is a simple way to do it. Just run the parser on every language. Whatever language gets the farthest without encountering any errors (or has the fewest errors) wins.
This technique has the following advantages:
You already have most of the code necessary to do this.
The analysis can be done in parallel on multi-core machines.
Most languages can be eliminated very quickly.
This technique is very robust. Languages that might appear very similar when using a fuzzy analysis (baysian for example), would likely have many errors when the actual parser is run.
If a program is parsed correctly in two different languages, then there was never any hope of distinguishing them in the first place.
I think the problem is impossible. The best you can do is to come up with some probability that a program is in a particular language, and even then I would guess producing a solid probability is very hard. Problems that come to mind at once:
use of features like the C pre-processor can effectively mask the underlyuing language altogether
looking for keywords is not sufficient as the keywords can be used in other languages as identifiers
looking for actual language constructs requires you to parse the code, but to do that you need to know the language
what do you do about malformed code?
Those seem enough problems to solve to be going on with.
One program I know which even can distinguish several different languages within the same file is ohcount. You might get some ideas there, although I don't really know how they do it.
In general you can look for distinctive patterns:
Operators might be an indicator, such as := for Pascal/Modula/Oberon, => or the whole of LINQ in C#
Keywords would be another one as probably no two languages have the same set of keywords
Casing rules for identifiers, assuming the piece of code was writting conforming to best practices. Probably a very weak rule
Standard library functions or types. Especially for languages that usually rely heavily on them, such as PHP you might just use a long list of standard library functions.
You may create a set of rules, each of which indicates a possible set of languages if it matches. Intersecting the resulting lists will hopefully get you only one language.
The problem with this approach however, is that you need to do tokenizing and compare tokens (otherwise you can't really know what operators are or whether something you found was inside a comment or string). Tokenizing rules are different for each language as well, though; just splitting everything at whitespace and punctuation will probably not yield a very useful sequence of tokens. You can try several different tokenizing rules (each of which would indicate a certain set of languages as well) and have your rules match to a specified tokenization. For example, trying to find a single-quoted string (for trying out Pascal) in a VB snippet with one comment will probably fail, but another tokenizer might have more luck.
But since you want to perform analysis anyway you probably have parsers for the languages you support, so you can just try running the snippet through each parser and take that as indicator which language it would be (as suggested by OregonGhost as well).
Some thoughts:
$x->y() would be valid in PHP, so ensure that there's no $ symbol if you think C++ (though I think you can store function pointers in a C struct, so this could also be C).
public static void main is Java if it is cased properly - write Main and it's C#. This gets complicated if you take case-insensitive languages like many scripting languages or Pascal into account. The [] attribute syntax in C# on the other hand seems to be rather unique.
You can also try to use the keywords of a language - for example, Option Strict or End Sub are typical for VB and the like, while yield is likely C# and initialization/implementation are Object Pascal / Delphi.
If your application is analyzing the source code anyway, you code try to throw your analysis code at it for every language and if it fails really bad, it was the wrong language :)
My approach would be:
Create a list of strings or regexes (with and without case sensitivity), where each element has assigned a list of languages that the element is an indicator for:
class => C++, C#, Java
interface => C#, Java
implements => Java
[attribute] => C#
procedure => Pascal, Modula
create table / insert / ... => SQL
etc. Then parse the file line-by-line, match each element of the list, and count the hits.
The language with the most hits wins ;)
How about word frequency analysis (with a twist)? Parse the source code and categorise it much like a spam filter does. This way when a code snippet is entered into your app which cannot be 100% identified you can have it show the closest matches which the user can pick from - this can then be fed into your database.
Here's an idea for you. For each of your N languages, find some files in the language, something like 10-20 per language would be enough, each one not too short. Concatenate all files in one language together. Call this lang1.txt. GZip it to lang1.txt.gz. You will have a set of N langX.txt and langX.txt.gz files.
Now, take the file in question and append to each of he langX.txt files, producing langXapp.txt, and corresponding gzipped langXapp.txt.gz. For each X, find the difference between the size of langXapp.gz and langX.gz. The smallest difference will correspond to the language of your file.
Disclaimer: this will work reasonably well only for longer files. Also, it's not very efficient. But on the plus side you don't need to know anything about the language, it's completely automatic. And it can detect natural languages and tell between French or Chinese as well. Just in case you need it :) But the main reason, I just think it's interesting thing to try :)
The most bulletproof but also most work intensive way is to write a parser for each language and just run them in sequence to see which one would accept the code. This won't work well if code has syntax errors though and you most probably would have to deal with code like that, people do make mistakes. One of the fast ways to implement this is to get common compilers for every language you support and just run them and check how many errors they produce.
Heuristics works up to a certain point and the more languages you will support the less help you would get from them. But for first few versions it's a good start, mostly because it's fast to implement and works good enough in most cases. You could check for specific keywords, function/class names in API that is used often, some language constructions etc. Best way is to check how many of these specific stuff a file have for each possible language, this will help with some syntax errors, user defined functions with names like this() in languages that doesn't have such keywords, stuff written in comments and string literals.
Anyhow you most likely would fail sometimes so some mechanism for user to override language choice is still necessary.
I think you never should rely on one single feature, since the absence in a fragment (e.g. somebody systematically using WHILE instead of for) might confuse you.
Also try to stay away from global identifiers like "IMPORT" or "MODULE" or "UNIT" or INITIALIZATION/FINALIZATION, since they might not always exist, be optional in complete sources, and totally absent in fragments.
Dialects and similar languages (e.g. Modula2 and Pascal) are dangerous too.
I would create simple lexers for a bunch of languages that keep track of key tokens, and then simply calculate a key tokens to "other" identifiers ratio. Give each token a weight, since some might be a key indicator to disambiguate between dialects or versions.
Note that this is also a convenient way to allow users to plugin "known" keywords to increase the detection ratio, by e.g. providing identifiers of runtime library routines or types.
Very interesting question, I don't know if it is possible to be able to distinguish languages by code snippets, but here are some ideas:
One simple way is to watch out for single-quotes: In some languages, it is used as character wrapper, whereas in the others it can contain a whole string
A unary asterisk or a unary ampersand operator is a certain indication that it's either of C/C++/C#.
Pascal is the only language (of the ones given) to use two characters for assignments :=. Pascal has many unique keywords, too (begin, sub, end, ...)
The class initialization with a function could be a nice hint for Java.
Functions that do not belong to a class eliminates java (there is no max(), for example)
Naming of basic types (bool vs boolean)
Which reminds me: C++ can look very differently across projects (#define boolean int) So you can never guarantee, that you found the correct language.
If you run the source code through a hashing algorithm and it looks the same, you're most likely analyzing Perl
Indentation is a good hint for Python
You could use functions provided by the languages themselves - like token_get_all() for PHP - or third-party tools - like pychecker for python - to check the syntax
Summing it up: This project would make an interesting research paper (IMHO) and if you want it to work well, be prepared to put a lot of effort into it.
There is no way of making this foolproof, but I would personally start with operators, since they are in most cases "set in stone" (I can't say this holds true to every language since I know only a limited set). This would narrow it down quite considerably, but not nearly enough. For instance "->" is used in many languages (at least C, C++ and Perl).
I would go for something like this:
Create a list of features for each language, these could be operators, commenting style (since most use some sort of easily detectable character or character combination).
For instance:
Some languages have lines that start with the character "#", these include C, C++ and Perl. Do others than the first two use #include and #define in their vocabulary? If you detect this character at the beginning of line, the language is probably one of those. If the character is in the middle of the line, the language is most likely Perl.
Also, if you find the pattern := this would narrow it down to some likely languages.
Etc.
I would have a two-dimensional table with languages and patterns found and after analysis I would simply count which language had most "hits". If I wanted it to be really clever I would give each feature a weight which would signify how likely or unlikely it is that this feature is included in a snippet of this language. For instance if you can find a snippet that starts with /* and ends with */ it is more than likely that this is either C or C++.
The problem with keywords is someone might use it as a normal variable or even inside comments. They can be used as a decider (e.g. the word "class" is much more likely in C++ than C if everything else is equal), but you can't rely on them.
After the analysis I would offer the most likely language as the choice for the user with the rest ordered which would also be selectable. So the user would accept your guess by simply clicking a button, or he can switch it easily.
In answer to 2: if there's a "#!" and the name of an interpreter at the very beginning, then you definitely know which language it is. (Can't believe this wasn't mentioned by anyone else.)

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