**Tell us what’s happening:**

Unit test are failing and raising this type error:

```
TypeError: unsupported operand type(s) for -: 'dict' and 'dict'
```

but I’m supposed to return a dict from the function. I’ve checked the version and is 3.8, is supposed to handle dicts using and ‘assertAlmostEqual’ function. Anybody else with this problem?

**Your code so far**

import numpy as np

```
def calculate(list):
try:
data = np.array(list)
matrix = data.reshape(3,3)
except (ValueError):
raise ValueError("List must contain nine numbers.")
else:
calculations = {}
```

```
calculations['mean'] = [np.mean(matrix, axis = 1).tolist(),
np.mean(matrix, axis = 0).tolist(),
np.mean(matrix).tolist()]
calculations['variance'] = [np.var(matrix, axis = 1).tolist(),
np.var(matrix, axis = 0).tolist(),
np.var(matrix).tolist()]
calculations['standard deviation'] = [np.std(matrix, axis = 1).tolist(),
np.std(matrix, axis = 0).tolist(),
np.std(matrix).tolist()]
calculations['max'] = [np.amax(matrix, axis = 1).tolist(),
np.amax(matrix, axis = 0).tolist(),
np.amax(matrix).tolist()]
calculations['min'] = [np.amin(matrix, axis = 1).tolist(),
np.amin(matrix, axis = 0).tolist(),
np.amin(matrix).tolist()]
calculations['sum'] = [np.sum(matrix, axis = 1).tolist(),
np.sum(matrix, axis = 0).tolist(),
np.sum(matrix).tolist()]
return calculations
```

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**Challenge:** Mean-Variance-Standard Deviation Calculator

**Link to the challenge:**