![]() One can, in principle, in most implemented lazy functions, set chunk size to be one element, but that would very seriously degrade the performance. The chunk size can be controlled, but the laziness is only there on the coarse - grained level (per chunk) - this was done to keep the performance reasonable. What really happens there is that data is divided into chunks, and a given operation ( Map or whatever) is applied to the entire chunk at the same time. Note by the way, that technically the lists constructed above are not fully lazy. They are most useful when you have a variable that can take one of a limited selection of values. They are similar to global variables, but they offer a more useful repr (), grouping, type-safety, and a few other features. It may also suffer from efficiency problems, to a smaller or greater extent depending on the task, since it has been implemented in top-level Mathematica. An Enum is a set of symbolic names bound to unique values. Also, there is no guarantee, that this functionality will remain in future versions and / or have the same syntax in the future. This answer should not be considered as any kind of tutorial on this functionality, but just as an illustration. Load the Streaming` module: Needsĭefine an infinite lazy list of integers: integers = LazyRange įorm an (infinite) lazy list of primes: primes = Select Įnumerate this list (lazily): enumerated = MapIndexed] You can convert enumerate objects to list and. The power of Pythons for statement (in relation to other. iterable must be a sequence, an iterator. The enumerate() function in Python is commonly used instead of the for loop. The returned object is an enumerate object. My question is related to the content of the exercises using the range(0, len(n)) syntax. If the object is a module object, the list contains the names of the modules. Example: lazy infinite lists and an analog of enumerate The enumerate() function adds counter to an iterable and returns it. In python, we use enumerate() function to keep the count or track of iterations while using iterators over a tuple or list. However, the primary goal of Streaming` is to support out of core computations reasonably efficiently, and lazy operations are only the secondary goal. ![]() While they may sometimes produce the same result, they are never functionally identical.enumerate() is never a shortcut, its a completely different operator that does more and better things. ![]() Starting with V10.1, there is an undocumented support for certain lazy operations in Mathematica. enumerate is essentially just a shortcut for range(len(s)) No its not. The enumerate() function returns an enumerate object that contains the elements of. Streaming` module - general, and the case at hand The enumerate() is a built-in function in Python.
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