The deadline of this homework is on Tuesday, 16th of May, 23:59:00 UTC+2.

In this homework you should implement three different functions in their respective files.

You come across this strange pattern.

Mesmerized, you decide you must write a function to generate arbitrary sizes of it. (Write a function strange_pattern that takes a shape tuple (n, m) as input and generates a boolean (True for x's and False for blank spaces) 2D NumPy array of the given shape with this pattern)

Hint: Perhaps this strange symbol might help? ::

Write a function gaussian_analysis which takes four parameters loc, scale, lower_bound and upper_bound and returns a tuple of two values (mean, std). First of all the function should make sure that loc, scale, lower_bound and upper_bound are integers or floats and that lower_bound is smaller than upper_bound and should return meaningful error messages if those are not the case. In the function 100 samples of a gaussian distribution should be drawn in respect to the given loc and scale parameters. Check out the Numpy documentation to find out which function you could use here. Next, the values below the lower_bound and above the upper_bound should be filtered out. Afterwards you should calculate the mean and the std(standard deviation) of the array and return them in a tuple.

Write a function combination that takes in two numpy arrays and an optional parameter axis which should be 0 by default. Remove unnecessary dimensions of the input arrays, check whether they can be combined along the given axis and return the combined array. If the combination is not possible, raise a meaningful error message.

Good luck!