Search results
Results from the WOW.Com Content Network
-- The lowest possible value is 0, and the highest possible is the length of the array. local len = # t for i = len, 2,-1 do local r = math.random (i) t [i], t [r] = t [r], t [i] end if limit and limit < len then local ret = {} for i, v in ipairs (t) do if i > limit then break end ret [i] = v end return ret else return t end end local function ...
In Python, a generator can be thought of as an iterator that contains a frozen stack frame. Whenever next() is called on the iterator, Python resumes the frozen frame, which executes normally until the next yield statement is reached. The generator's frame is then frozen again, and the yielded value is returned to the caller.
Goodrich [16] presented a dynamic array algorithm called tiered vectors that provides O(n 1/k) performance for insertions and deletions from anywhere in the array, and O(k) get and set, where k ≥ 2 is a constant parameter. Hashed array tree (HAT) is a dynamic array algorithm published by Sitarski in 1996. [17]
import random # this function checks whether or not the array is sorted def is_sorted (random_array): for i in range (1, len (random_array)): if random_array [i] < random_array [i-1]: return False return True # this function repeatedly shuffles the elements of the array until they are sorted def bogo_sort (random_array): while not is_sorted (random_array): random. shuffle (random_array) return ...
In addition to support for vectorized arithmetic and relational operations, these languages also vectorize common mathematical functions such as sine. For example, if x is an array, then y = sin (x) will result in an array y whose elements are sine of the corresponding elements of the array x. Vectorized index operations are also supported.
Federal Reserve Chair Jerome Powell said he won't step down if President-elect Donald Trump, who has previously criticized Powell's performance, asks him to resign.
If we associate with each item of the input a uniformly generated random number, the k items with the largest (or, equivalently, smallest) associated values form a simple random sample. [3] A simple reservoir-sampling thus maintains the k items with the currently largest associated values in a priority queue .
To avoid installing the large SciPy package just to get an array object, this new package was separated and called NumPy. Support for Python 3 was added in 2011 with NumPy version 1.5.0. [15] In 2011, PyPy started development on an implementation of the NumPy API for PyPy. [16] As of 2023, it is not yet fully compatible with NumPy. [17]