Hello all, I am having an issue with my “Mean-Variance-Standard Deviation Calculator” project in the Data Analysis with Python Certification. My program works well and gets the job done but I am not passing tests 1 or 2. Although the output is correct, I am receiving a traceback error from what I believe to be the “unittest” module.

I will insert my code and the traceback error. I was wondering if someone would assist me in understanding what the issue at hand really is.

```
import numpy as np
def calculate(list):
if len(list) != 9:
raise ValueError("List must contain nine numbers.")
list = np.array(list).reshape(3,3)
def mean(list):
mean_row = list.mean(axis=1).tolist()
mean_column = list.mean(axis=0).tolist()
mean_flat = list.mean().tolist()
return mean_column, mean_row, mean_flat
def variance(list):
variance_row = list.var(axis=1).tolist()
variance_column = list.var(axis=0).tolist()
variance_flat = list.var().tolist()
return variance_column, variance_row, variance_flat
def standard_deviation(list):
standard_deviation_row = list.std(axis=1).tolist()
standard_deviation_column = list.std(axis=0).tolist()
standard_deviation_flat = list.std().tolist()
return standard_deviation_column, standard_deviation_row, standard_deviation_flat
def max(list):
max_row = list.max(axis=1).tolist()
max_column = list.max(axis=0).tolist()
max_flat = list.max().tolist()
return max_column, max_row, max_flat
def min(list):
min_row = list.min(axis=1).tolist()
min_column = list.min(axis=0).tolist()
min_flat = list.min().tolist()
return min_column, min_row, min_flat
def sum(list):
sum_row = list.sum(axis=1).tolist()
sum_column = list.sum(axis=0).tolist()
sum_flat = list.sum().tolist()
return sum_column, sum_row, sum_flat
calculations = {
'mean': mean(list),
'variance': variance(list),
'standard deviation': standard_deviation(list),
'max': max(list),
'min': min(list),
'sum': sum(list)
}
return calculations
```

and here is the traceback:

```
Traceback (most recent call last):
File "/home/runner/boilerplate-mean-variance-standard-deviation-calculator/test_module.py", line 10, in test_calculate
self.assertAlmostEqual(actual, expected, "Expected different output when calling 'calculate()' with '[2,6,2,8,4,0,1,5,7]'")
File "/usr/lib/python3.8/unittest/case.py", line 943, in assertAlmostEqual
diff = abs(first - second)
TypeError: unsupported operand type(s) for -: 'dict' and 'dict'
```

My best assumption is that the unittest disallows the absolute value for any calculation occurring but none of my functions require the absolute value to be calculated or used in calculations. Thank you to any and all who choose to comment/help out in interacting with this post.