If I want to know, whether variable v exists in zsh, I can use ${+v}. Example:
u=xxx
v=
print ${+u} ${+v} ${+w}
outputs 1 1 0.
If I want to access the content of a variable, where I have the NAME of it stored in variable v, I can do it with ${(P)v}. Example:
a=xxx
b=a
print ${(P)b}
outputs xxx.
Now I would like to combine the two: Testing whether a variable exists, but the name of the variable is stored in another variable. How can I do this? Example:
r=XXX
p=r
q=s
Here is my approach which does NOT work:
print ${+${(P)p}} # Expect 1, because $p is r and r exists.
print ${+${(P)q}} # Expect 0, because $q is s and s does not exist
However, I get the error message zsh: bad substitution.
Is there a way I can achieve my goal without reverting to eval?
print ${(P)+p}
print ${(P)+q}
The opening parenthesis of of a Parameter Expansion Flag needs to follow immediately after the opening brace. Also, it is not necessary to explicitly substitute p or q as (P) takes care of that. Nevertheless, ${(P)+${p}} and ${(P)+${q}} would also work.
Related
So, I'm brushing up on how to work with data frames in R and I came across this little bit of code from https://cloud.r-project.org/web/packages/data.table/vignettes/datatable-intro.html:
input <- if (file.exists("flights14.csv")) {
"flights14.csv"
} else {
"https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv"
}
Apparently, this assigns the strings (character vectors?) in the if and else statements to input based on the conditional. How is this working? It seems like magic. I am hoping to find somewhere in the official R documentation that explains this.
From other languages I would have just done:
if (file.exists("flights14.csv")) {
input <- "flights14.csv"
} else {
input <- "https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv"
}
or in R there is ifelse which also seems designed to do exactly this, but somehow that first example also works. I can memorize that this works but I'm wondering if I'm missing the opportunity to understand the bigger picture about how R works.
From the documentation on the ?Control help page under "Value"
if returns the value of the expression evaluated, or NULL invisibly if none was (which may happen if there is no else).
So the if statement is kind of like a function that returns a value. The value that's returned is the result of either evaulating the if or the then block. When you have a block in R (code between {}), the brackets are also like a function that just return the value of the last expression evaluated in the block. And a string literal is a valid expression that returns itself
So these are the same
x <- "hello"
x <- {"hello"}
x <- {"dropped"; "hello"}
x <- if(TRUE) {"hello"}
x <- if(TRUE) {"dropped"; "hello"}
x <- if(TRUE) {"hello"} else {"dropped"}
And you only really need blocks {} with if/else statements when you have more than one expression to run or when spanning multiple lines. So you could also do
x <- if(TRUE) "hello" else "dropped"
x <- if(FALSE) "dropped" else "hello"
These all store "hello" in x
You are not really missing anything about the "big picture" in R. The R if function is atypical compared both to other languages as well as to R's typical behavior. Unlike most functions in R which do require assignment of their output to a "symbol", i.e a proper R name, if allows assignments that occur within its consequent or alternative code blocks to occur within the global environment. Most functions would return only the final evaluation, while anything else that occurred inside the function body would be garbage collected.
The other common atypical function is for. R for-loops only
retain these interior assignments and always return NULL. The R Language Definition calls these atypical R functions "control structures". See section 3.3. On my machine (and I suspect most Linux boxes) that document is installed at: http://127.0.0.1:10731/help/doc/manual/R-lang.html#Control-structures. If you are on another OS then there is probably a pulldown Help menu in your IDE that will have a pointer to it. Thew help document calls them "control flow constructs" and the help page is at ?Control. Note that it is necessary to quote these terms when you wnat to access that help page using one of those names since they are "reserved words". So you would need ?'if' rather than typing ?if. The other reserved words are described in the ?Reserved page.
?Control
?'if' ; ?'for'
?Reserved
# When you just type:
?if # and hit <return>
# you will see a "+"-sign which indicateds an incomplete expression.
# you nthen need to hit <escape> to get back to a regular R interaction.
In R, functions don't need explicit return. If not specified the last line of the function is automatically returned. Consider this example :
a <- 5
b <- 1
result <- if(a == 5) {
a <- a + 1
b <- b + 1
a
} else {b}
result
#[1] 6
The last line in if block was saved in result. Similarly, in your case the string values are "returned" implicitly.
I am trying to figure out if it is possible, with a sane amount of programming, to create a certain debugging function by using R's metaprogramming features.
Suppose I have a block of code, such that each line uses as all or part of its input the output from thee line before -- the sort of code you might build with pipes (though no pipe is used here).
{
f1(args1) -> out1
f2(out1, args2) -> out2
f3(out2, args3) -> out3
...
fn(out<n-1>, args<n>) -> out<n>
}
Where for example it might be that:
f1 <- function(first_arg, second_arg, ...){my_body_code},
and you call f1 in the block as:
f1(second_arg = 1:5, list(a1 ="A", a2 =1), abc = letters[1:3], fav = foo_foo)
where foo_foo is an object defined in the calling environment of f1.
I would like a function I could wrap around my block that would, for each line of code, create an entry in a list. Each entry would be named (line1, line2) and each line entry would have a sub-entry for each argument and for the function output. the argument entries would consist, first, of the name of the formal, to which the actual argument is matched, second, the expression or name supplied to that argument if there is one (and a placeholder if the argument is just a constant), and third, the value of that expression as if it were immediately forced on entry into the function. (I'd rather have the value as of the moment the promise is first kept, but that seems to me like a much harder problem, and the two values will most often be the same).
All the arguments assigned to the ... (if any) would go in a dots = list() sublist, with entries named if they have names and appropriately labeled (..1, ..2, etc.) if they are assigned positionally. The last element of each line sublist would be the name of the output and its value.
The point of this is to create a fairly complete record of the operation of the block of code. I think of this as analogous to an elaborated version of purrr::safely that is not confined to iteration and keeps a more detailed record of each step, and indeed if a function exits with an error you would want the error message in the list entry as well as as much of the matched arguments as could be had before the error was produced.
It seems to me like this would be very useful in debugging linear code like this. This lets you do things that are difficult using just the RStudio debugger. For instance, it lets you trace code backwards. I may not know that the value in out2 is incorrect until after I have seen some later output. Single-stepping does not keep intermediate values unless you insert a bunch of extra code to do so. In addition, this keeps the information you need to track down matching errors that occur before promises are even created. By the time you see output that results from such errors via single-stepping, the matching information has likely evaporated.
I have actually written code that takes a piped function and eliminates the pipes to put it in this format, just using text manipulation. (Indeed, it was John Mount's "Bizarro pipe" that got me thinking of this). And if I, or we, or you, can figure out how to do this, I would hope to make a serious run on a second version where each function calls the next, supplying it with arguments internally rather than externally -- like a traceback where you get the passed argument values as well as the function name and and formals. Other languages have debugging environments like that (e.g. GDB), and I've been wishing for one for R for at least five years, maybe 10, and this seems like a step toward it.
Just issue the trace shown for each function that you want to trace.
f <- function(x, y) {
z <- x + y
z
}
trace(f, exit = quote(print(returnValue())))
f(1,2)
giving the following which shows the function name, the input and output. (The last 3 is from the function itself.)
Tracing f(1, 2) on exit
[1] 3
[1] 3
I am new to IDL and find the KEYWORD_SET difficult to grasp. I understand that it is a go no go switch. I think its the knocking on and off part that I am having difficulty with. I have written a small program to master this as such
Pro get_this_done, keyword1 = keyword1
WW=[3,6,8]
PRINT,'WW'
print,WW
y= WW*3
IF KEYWORD_Set(keyword1) Then BEGIN
print,'y'
print,y
ENDIF
Return
END
WW prints but print, y is restricted by the keyword. How do I knock off the keyword to allow y to print.
Silly little question, but if somebody can indulge me, it would be great.
After compiling the routine, type something like
get_this_done,KEYWORD1=1b
where the b after the one sets the numeric value to a BYTE type integer (also equivalent to TRUE). That should cause the y-variable to be printed to the screen.
The KEYWORD_SET function will return a TRUE for lots of different types of inputs that are basically either defined or not zero. The IF loop executes when the argument is TRUE.
Keywords are simply passed as arguments to the function:
get_this_done, KEYWORD1='whatever'
or also
get_this_done, /KEYWORD1
which will give KEYWORD1 the INT value of 1 inside the function. Inside the function KEYWORD_SET will return 1 (TRUE) when the keyword was passed any kind of value - no matter whether it makes sense or not.
Thus as a side note to the question: It often is advisable to NOT use KEYWORD_SET, but instead resort to a type query:
IF SIZE(variable, /TNAME) EQ 'UNDEFINED' THEN $
variable = 'default value'
It has the advantage that you can actually check for the correct type of the keyword and handle unexpected or even different variable types:
IF SIZE(variable, /TNAME) NE 'LONG' THEN BEGIN
IF SIZE(variable, /TNAME) EQ 'STRING' THEN $
PRINT, "We need a number here... sure that the cast to LONG works?"
variable = LONG(variable)
ENDIF
Suppose I have a small function in R
getsum <- function(a, b){
c <- a+b
}
Now when I run this function, It runs rormally. But my question is can I check the assigned value to c on console? I know that:
I can print its value within function, which will get reflected on console
I can return this value via return keyword.
I don't want any of these. My question is specifically, whether I can check the value of variables inside a function at console. I tried functionname::variablename, but it is not working
So there are a couple of answers I could give here, I'm not positive what you need it for.
(EDIT: oh, and FYI, I would avoid using "c" as a variable name, that's a function, the ambiguous value is bad. R will compensate by using the value in your current environment, but that's a stopgap measure)
The easiest would be to assign some variable:
x <- NULL
at the global environment level, and then, somewhere, during the function:
x <<- c
the double arrow assigns the value to the topmost environment.
However, this is a bit dangerous, as it's going to run as far up as it can to assign that variable. If you're after debugging, then I recommend adding:
browser()
inside the code somewhere, it will stop execution during the function and then you can run whatever you like inside the function environment.
If you want to debug your code, just use RSTUDIO https://www.rstudio.com/ is an IDE with debugging capabilities. In Rstudio setting a breakpoint inside your function and can check the value of internal variables in the right panels.
In a R session, I source a simple r script whose content is:
x = c(1,2)
x
as
source('my.r')
I wonder why running it in the R session doesn't show any output?
(I find that I can use print() to show the value of x.)
Thanks.
It is the way source is configured. You can change it with the options echo and print.eval:
echo logical; if TRUE, each expression is printed after parsing,
before evaluation.
print.eval logical; if TRUE, the result of
eval(i) is printed for each expression i; defaults to the value of
echo.
So try source("my.r", print.eval=TRUE)
So far as I understand it, when you run source, you are starting a separate environment inside which source is executing, just like any other function. As such, x "prints" the value of x inside that environment, but the console is one environment "up" the chain.
Try, for example,
foo<-function(x) {
x
return(4)
}
EDIT: James has more directly answered the "how" part of your question.