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402 def sum(self, axis=None, dtype=None, out=None): 403 """ 404 Returns the sum of the matrix elements, along the given axis. 405 406 Refer to `numpy.sum` for full documentation. 407 408 See Also 409 -------- 410 numpy.sum 411 412 Notes 413 ----- 414 This is the same as `ndarray.sum`, except that where an `ndarray` would 415 be returned, a `matrix` object is returned instead. 416 417 Examples 418 -------- 419 >>> x = np.matrix([[1, 2], [4, 3]]) 420 >>> x.sum() 421 10 422 >>> x.sum(axis=1) 423 matrix([[3], 424 [7]]) 425 >>> x.sum(axis=1, dtype='float') 426 matrix([[ 3.], 427 [ 7.]]) 428 >>> out = np.zeros((1, 2), dtype='float') 429 >>> x.sum(axis=1, dtype='float', out=out) 430 matrix([[ 3.], 431 [ 7.]]) 432 433 """ 434 return N.ndarray.sum(self, axis, dtype, out)._align(axis)

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6 @jit(native=True, xsimd=True) 7 def row_sum(arr, columns): 8 return arr.T[columns].sum(0)

52 def sum(l): 53 return reduce(operator.add, l)