Return by value. The compiler can optimize away the copy, so the end result is what you want. An object is created, and returned to the caller. I think the reason why you rarely see people do this is because you’re looking at the wrong C++ code. 😉 Most people coming from Java feel uncomfortable … Read more
This is declaring that you want the result of the query to return objects for individual named columns, rather than entities. For instance createSQLQuery(“SELECT COUNT(*) AS c FROM Users”).addScalar(“c”).uniqueResult() Will return a single Long. If you specify multiple scalars, the result will come back as an array of Object. Its similar to executeScalar except that … Read more
Your Call works if it were a Table Valued Function. Since its a scalar function, you need to call it like: SELECT dbo.fn_HomePageSlider(9, 3025) AS MyResult
You need to set$final[$id] to an array before adding elements to it. Intiialize it with either $final[$id] = array(); $final[$id][0] = 3; $final[$id][‘link’] = “https://stackoverflow.com/”.$row[‘permalink’]; $final[$id][‘title’] = $row[‘title’]; or $final[$id] = array(0 => 3); $final[$id][‘link’] = “https://stackoverflow.com/”.$row[‘permalink’]; $final[$id][‘title’] = $row[‘title’];
Use this one =SUMPRODUCT(A1:A3,B1:B3)
Try a list comprehension: l = [x * 2 for x in l] This goes through l, multiplying each element by two. Of course, there’s more than one way to do it. If you’re into lambda functions and map, you can even do l = map(lambda x: x * 2, l) to apply the function … Read more
Non-numpy functions like math.abs() or math.log10() don’t play nicely with numpy arrays. Just replace the line raising an error with: m = np.log10(np.abs(x)) Apart from that the np.polyfit() call will not work because it is missing a parameter (and you are not assigning the result for further use anyway).
Here’s an example which issues the same warning: import numpy as np np.seterr(all=”warn”) A = np.array([10]) a=A[-1] a**a yields RuntimeWarning: overflow encountered in long_scalars In the example above it happens because a is of dtype int32, and the maximim value storable in an int32 is 2**31-1. Since 10**10 > 2**32-1, the exponentiation results in a … Read more
I don’t think they’re interchangeable. They are frequently similar, but differences do exist, and seems to mainly be in what they are contrasted with and what is relevant in context. Scalars are typically contrasted with compounds, such as arrays, maps, sets, structs, etc. A scalar is a “single” value – integer, boolean, perhaps a string … Read more
>>> import collections.abc >>> isinstance([0, 10, 20, 30], collections.abc.Sequence) True >>> isinstance(50, collections.abc.Sequence) False note: isinstance also supports a tuple of classes, check type(x) in (…, …) should be avoided and is unnecessary. You may also wanna check not isinstance(x, (str, unicode)) As noted by @2080 and also here this won’t work for numpy arrays. … Read more