# Iterate through numpy array testing multiple elements efficiently I have the following code which iterates through 2d numpy array named "m". It works extremely slow. How can I transform this code using numpy functions so that I avoid using the for loops?

I have the following code which iterates through 2d numpy array named "m". It works extremely slow. How can I transform this code using numpy functions so that I avoid using the for loops?

```pairs = []
for i in range(size):
for j in range(size):
if(i >= j):
continue
if(m[i][j] + m[j][i] >= 0.75):
pairs.append([i, j, m[i][j] + m[j][i]])
```

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