Python imports in deployed/local packages

How can I write import foo.bar in __init__.py so it will load the system-wide version of foo/bar.py when run from most places, but will load the local version of bar.py when run from within foo‘s source directory? # foo/__init__.py from foo.bar import baz baz() # foo/bar.py def baz: print(‘Hello") This will always load the site-wide… Read More Python imports in deployed/local packages

How can I use convolve2d to sum the number of times both players achieve the win condition in connect 4?

I am creating a connect four game, the board is a 7×6 board. I want to be able to calculate the number of 4-in-a-row that each player gets. The game does not end when the first player places their first 4-in-a-row. The game will only end when the board is completely full. A possible end… Read More How can I use convolve2d to sum the number of times both players achieve the win condition in connect 4?

Flatten only part of a dataframe shape for Euclidean calculation?

I have a data frame with shape: (20,30,1024) I want to find the Euclidean distance between every entry and every other entry in the dataframe (ideally non-redundantly, i.e. don’t find the distance of row 1 and 5….and then row 5 and 1 but not there yet). I have this code: from scipy.spatial.distance import pdist,squareform distances… Read More Flatten only part of a dataframe shape for Euclidean calculation?

Numpy Upsamle np.array /increase size of np.array by adding mean value of cosecuitive elements

I have an np.array which I need to make its size double/triple/quadruple. I want to do it by adding 1/2/3 elements between every 2 consecutive elements. for example: np.array([1,2,3,4,5]) to be np.array([1,1.5,2,2.5,3,3.5,4,4.5,5,5.5]) There is no problem doing that using python. but I need the fastest possible way, preferably using Numpy/Scipy. >Solution : np.interp: a =… Read More Numpy Upsamle np.array /increase size of np.array by adding mean value of cosecuitive elements