Using Python CFFI bindings for funtions to combine NumPy arrays in C++
Project description
combineArrays
This package provides Python CFFI bindings to combine NumPy arrays in C++. Functions are:
- replicate_arrays
- calc_distance
- centroid_aux
Documentation
Installation
To install type:
$ pip install combineArrays
Usage of replicate_arrays( a, y, length_a, n)
from combineArrays import replicate_arrays
Parameters
Input parameters:
a: array to be replicated, float
n: num replications, int64
Output parameters:
y: replicated array of length n_times * length_array, float
Usage of calc_distance( a_x_u, a_y_u, b_x, b_y, dist, num_u, num_b)
from combineArrays import calc_distance
Parameters
Input parameters:
a_x_u, a_y_u: arrays of length num_u, float
b_x, b_y: arrays of length num_b, float
Output parameters:
dist: array of size U*B of pairwise distances arranged as [d_u1b1, d_u1b2, d_u2b1, d_u2b2, d_u3b1, d_u3b2], float
Usage of centroid_aux( a_demand, ov_allocation_u_b, a_coordinate_u, coo_b)
from combineArrays import centroid_aux
Parameters
Input parameters:
demand: array of length num_u, float
allocation: array of length num_u * num_b, float
coordinate: array of length num_u, float
Output parameters:
coo_b : array of length num_b, float
Test
To unit test type:
$ test/test.py
Project details
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