PYTHON 3: Iterators and Iterator Decorators via Generators **if an argument is iterable, it means that you can call only iter on it, and then call next on the value iter returns (for loops do this automatically). There is no guarantee you can call len on the iterable or index/slice it. You may not copy all the values of an iterable into a list (or any other data structure). You may create local data structures storing as many values as the arguments or the result that the function returns, but not all the values in the iterable.

1) Write generators below that satisfy the following specifications. You may not import any of the generators in itertools or any other modules to write your generators. You may use any of the standard functions like zip and enumerate. The alternate_all generator takes any number of iterables as parameters: it produces the first value from the first parameter, then the first value from the second parameter, ..., then the first value from the last parameter; then the second value from the first parameter, then the second value from the second parameter, ..., then the second value from the last parameter; etc. If any iterable produces no more values, it is ignored. Eventually, this generator produces every value in each iterable. Hint: I used explicit calls to iter, and a while and for loop, and a try/except statement; you can create alist whose length is the same as the number of parameters (I stored iter called on each parameter in such a list). For example prints afhbgicjdke.

for i in alternate all ('abcde', 'fg', 'hijk'): print (i,end- ")