大约有 3,516 项符合查询结果(耗时:0.0308秒) [XML]

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python generator “send” function purpose?

... This function is to write coroutines def coroutine(): for i in range(1, 10): print("From generator {}".format((yield i))) c = coroutine() c.send(None) try: while True: print("From user {}".format(c.send(1))) except StopIteration: pass prints From generator 1 From u...
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What is the most efficient string concatenation method in python?

...the timeit module. That can tell you which is fastest, instead of random strangers on the internet making guesses. share | improve this answer | follow | ...
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Using arrays or std::vectors in C++, what's the performance gap?

...ng. Using arrays on the stack is also discouraged because you don't have range checking, and passing the array around will lose any information about its size (array to pointer conversion). You should use boost::array in that case, which wraps a C++ array in a small class and provides a size funct...
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When should I use double instead of decimal?

...ven if it had to be padded out to 16 bytes; it would have allowed a larger range than double or Decimal, much better speed than Decimal, support for transcendental operations (e.g. sin(x), log(x), etc.), and precision which while not quite as good as Decimal would be way better than double. ...
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Difference between a Seq and a List in Scala

...efined order of elements. Sequences provide a method apply() for indexing, ranging from 0 up to the length of the sequence. Seq has many subclasses including Queue, Range, List, Stack, and LinkedList. A List is a Seq that is implemented as an immutable linked list. It's best used in cases with last...
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Memcached vs. Redis? [closed]

...tions, bit-level manipulation, floating point increment/decrement support, range queries, and multi-key operations. Memcached doesn't support any of that. Strings are useful for all sorts of use cases, which is why memcached is fairly useful with this data type alone. Hashes (commands) Hashes are so...
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What is the most ridiculous pessimization you've seen? [closed]

...tion playland. Favorites include: Split a table into multiples (by date range, alphabetic range, etc.) because it's "too big". Create an archive table for retired records, but continue to UNION it with the production table. Duplicate entire databases by (division/customer/product/etc.) Resist add...
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How can I use threading in Python?

... As a really simple example, let's consider the problem of summing a large range by summing subranges in parallel: import threading class SummingThread(threading.Thread): def __init__(self,low,high): super(SummingThread, self).__init__() self.low=low self.high=high ...
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Mock functions in Go

...chronously(sender MessageSender, data []string) error { for _, text := range data { err := sender.SendMessage(text) if err != nil { return err } } return nil } // TEST CASE BELOW // Here's our mock which just contains some variables that will be fi...
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Performance of Arrays vs. Lists

...Array need to use: So often as possible. It's fast and takes smallest RAM range for same amount information. If you know exact count of cells needed If data saved in array < 85000 b (85000/32 = 2656 elements for integer data) If needed high Random Access speed List need to use: If needed to a...