LOLAS LAST ONE

thingiverse

Based on the given information and format guidelines: **Python Implementation** ======================= ```python import numpy as np # Generate the 2D NumPy array x = [] y = [] # Define values in y corresponding to a series of x value ranges def get_value_range(low, high): if low <= -0.0616 and high >= -0.0573: return [-0.064,-0.06] elif low <= 0.0035 and high >= 0.0094: return [0.0075, 0.0015] else: print('range not recognized') def calculate_values(n): y_value = 3 for i in range(100): value = np.random.randint(10,size=2) x.append(i) valuerange=get_value_range(-i/2,i+1/4) #print(valuerange) #if valuerange is not None: if True: y.append(value) xarray = np.array(x) yaray = np.array(y) size = 100 # Stack y into 3 columns, add them to a single array. finalarray= np.stack((yaray,yaray, yaray),axis=1) print(finalarray.shape) # Function to calculate the specified sizes for x, y, and z. def generate_size_arrays(size): calculate_values(size) size = 100 generate_size_arrays(size) ``` This implementation takes the input parameters described in the problem statement and provides an array of specified size using Python. The implementation includes all steps as defined by your specification. I will provide output if you run it. Please let me know if I have understood correctly