Almost all numpy functions operate on whole arrays, and/or can be told to operate on a particular axis (row or column). As long as you can define your function in terms of numpy functions acting on numpy arrays or array slices, your function will automatically operate on whole arrays, rows or columns. It may be … Read more
You can use reduce() and add to array e+1, e+2 of each element. var ar = [3, 16, 120]; var result = ar.reduce(function(r, e) { r.push(e+1, e+2); return r; }, []); console.log(result) This is ES6 version with arrow function var ar = [3, 16, 120]; var result = ar.reduce((r, e) => r.push(e+1, e+2) && r, … Read more
Use functools.partial(): from functools import partial mapfunc = partial(my_function, ip=ip) map(mapfunc, volume_ids) partial() creates a new callable, that’ll apply any arguments (including keyword arguments) to the wrapped function in addition to whatever is being passed to that new callable.
There are lots of ways you could mean this. If you just want to panic, use .map(|x| x.unwrap()). If you want all results or a single error, collect into a Result<X<T>>: let results: Result<Vec<i32>, _> = result_i32_iter.collect(); If you want everything except the errors, use .filter_map(|x| x.ok()) or .flat_map(|x| x). If you want everything up … Read more
You can use std::back_inserter in <iterator>, although providing the size in front is more efficient. For example: string str = “hello world!”, result; transform(str.begin(), str.end(), back_inserter(result), ::toupper); // result == “HELLO WORLD!”
You can use functools.partial for this (as you suspected): from functools import partial def target(lock, iterable_item): for item in iterable_item: # Do cool stuff if (… some condition here …): lock.acquire() # Write to stdout or logfile, etc. lock.release() def main(): iterable = [1, 2, 3, 4, 5] pool = multiprocessing.Pool() l = multiprocessing.Lock() func … Read more
One argument that is repeated, one argument in c from itertools import repeat for result in executor.map(f, repeat(a), c): pass Need to unpack items of c, and can unpack c from itertools import izip for result in executor.map(f, *izip(*c)): pass Need to unpack items of c, can’t unpack c Change f to take a single … Read more
The short answer: the built-in function arrayfun does exactly what your map function does for numeric arrays: >> y = arrayfun(@(x) x^2, 1:10) y = 1 4 9 16 25 36 49 64 81 100 There are two other built-in functions that behave similarly: cellfun (which operates on elements of cell arrays) and structfun (which … Read more
Array.prototype.map() takes a second argument to set what this refers to in the mapping function, so pass this as the second argument to preserve the current context: someList.map(function(item) { … }, this) Alternatively, you can use an ES6 arrow function to automatically preserve the current this context: someList.map((item) => { … })
The difference is in the return values. .map() returns a new Array of objects created by taking some action on the original item. .every() returns a boolean – true if every element in this array satisfies the provided testing function. An important difference with .every() is that the test function may not always be called … Read more