Numpy ndarrays are meant for all elements to have the same length. In this case, your second array doesn’t contain lists of the same length, so it ends up being a 1-D array of lists, as opposed to a “proper” 2-D array. From the Numpy docs on N-dimensional arrays: An ndarray is a (usually fixed-size) multidimensional … Read more
uint32_t is a numeric type that guarantees 32 bits. The value is unsigned, meaning that the range of values goes from 0 to 232 – 1. This declares a pointer of type uint32_t*, but the pointer is uninitialized, that is, the pointer does not point to anywhere in particular. Trying to access memory through that pointer will cause … Read more
Python 3.7+ or CPython 3.6 Dicts preserve insertion order in Python 3.7+. Same in CPython 3.6, but it’s an implementation detail. or Older Python It is not possible to sort a dictionary, only to get a representation of a dictionary that is sorted. Dictionaries are inherently orderless, but other types, such as lists and tuples, are … Read more
I think the problem is given in the error message, although it is not very easy to spot: ‘Too many indices’ means you’ve given too many index values. You’ve given 2 values as you’re expecting data to be a 2D array. Numpy is complaining because data is not 2D (it’s either 1D or None). This is a … Read more
Developers are often confused by what a callback is because of the name of the damned thing. A callback function is a function which is: accessible by another function, and is invoked after the first function if that first function completes A nice way of imagining how a callback function works is that it is … Read more
for arrays (which is what you want) or for single elements. But it’s more simple to use vector, or use smartpointers, then you don’t have to worry about memory management. L.data() gives you access to the int[] array buffer and you can L.resize() the vector later. L.get() gives you a pointer to the int[] array.
How I would do this If I have a local branch from a remote one, I don’t feel comfortable with merging other branches than this one with the remote. Also I would not push my changes, until I’m happy with what I want to push and also I wouldn’t push things at all, that are … Read more
I think the problem is given in the error message, although it is not very easy to spot: ‘Too many indices’ means you’ve given too many index values. You’ve given 2 values as you’re expecting data to be a 2D array. Numpy is complaining because data is not 2D (it’s either 1D or None). This is a … Read more
Try to execute the bellow code in webdev console :
Assuming you’re joining on columns with no duplicates, which is a very common case: An inner join of A and B gives the result of A intersect B, i.e. the inner part of a Venn diagram intersection. An outer join of A and B gives the results of A union B, i.e. the outer parts of a … Read more