Question

I have to follow functions to perform:

Function 1: def calculate_similarity(data_segment, pattern):

The aim of this function is to calculate the similarity measure between one data segment and the pattern.

The first parameter 'data_segment' is a list of (float) values, and the second parameter 'pattern' is also a list of (float) values. The function calculates the similarity measure between the given data segment and pattern and returns the calculated similarity value (float), as described earlier in this assignment outline. The function returns "Error" if 'data_segment' and 'pattern' have different lengths.

Function 2: def calculate_similarity_list(data_series, pattern), is described as:

The aim of this function is to calculate the similarity measures between all possible data segments and the pattern.

The first parameter 'data_series' is a list of (float) values, and the second parameter 'pattern' is also a list of (float) values. The function calculates the similarity measures, using the above function 'calculate_similarity', of all possible data segments in a sequence, and returns the list of calculated similarity values.

I have the following code for this. My first function tests fine, but my second function is hitting an issue:

data_segment [] pattern def calculate_similarity(data_segment, pattern): if len(pattern) is not len (data_segment): m- error else: for z in range(0,len (data_segment)): mm data_segment[z]*pattern[z] return m # Test function 1 data_segment[-1, 2, -2, 3] pattern -[40, 30, 20, 10] print(calculate_similarity (data_segment,pattern)) expected answer10 # answer 10 #%%function 2 def calculate_similarity_list(data_series, pattern): data-segment-[] #create empty data-segment result=[] #create empty result list if len(data. Series) < len(pattern): #if length is not sufficient then result.append Insufficient Data") else: for i in for range(0, len(data-series)-len (pattern)+1): j in range(1,1+len(pattern)): #iterate through all the ind data-segment.append (data. Series[]]) #now add elements one i result.append (calculate_similarity (data_segment,pattern)) data-segment . clear() #it clears the list #now take index return result #%%testing function 2 data-series = [-1, 2, -2, 3, 41, 38, 22, 18, -1, 3] pattern -[40, 30, 20, 10] print (calculate_similarity_list(data_series,pattern)) expected answer-[56, 34, -1.02, 219.34, -123.1, 179.8

The test series I have, and the expected answer, I should get is below:

data_series = [-1, 2, -2, 3, 41, 38, 22, 10, -1, 3]

pattern = [40, 30, 20, 10]

print(calculate_similarity_list(data_series,pattern))

# expected_answer = [56, 34, -1.02, 219.34, -123.1, 179.8]

But I get:

Answer 1

data_segment = []
pattern = []

def calculate_similarity(data_segment, pattern):
   if len(pattern) is not len(data_segment):
       m = 'error'
   else:
       m = 0
       for z in range(0,len(data_segment)):
           m = m + data_segment[z] * pattern[z]

   return m

# Test function 1
data_segment = [-1, 2, -2, 3]
data_segment = [float(x) for x in data_segment]
pattern = [40, 30, 20, 10]
pattern = [float(x) for x in pattern]
print(calculate_similarity(data_segment,pattern))

#   expected_answer = 10
#   answer = 10

def calculate_similarity_list(data_series, pattern):
   data_segment = [] # create empty data_segment
   result = [] # create empty result list

   if len(data_series) < len(pattern):
       result.append('Insufficient Data')

   else:
       for i in range(0,len(data_series) - len(pattern) + 1):
           for j in range(i,i+len(pattern)):

               data_segment.append(data_series[j])

# there seems to be indentation error in this line, it was wriiten inside for loop, size of data_segment was always 1 which was not equal to size of pattern hence always error
           result.append(calculate_similarity(data_segment,pattern))
           data_segment.clear()

   return result
data_series = [-1, 2, -2, 3, 41, 38, 22, 10, -1, 3]
data_series = [float(x) for x in data_series]
pattern = [40, 30, 20, 10]
pattern = [float(x) for x in pattern]

print(calculate_similarity_list(data_series,pattern))

# expected_answer = [56, 34, -1.02, 219.34, -123.1, 179.8]

I am still not able to get the expected answer, please work out and tell how did you got this expected answer

I am getting [10.0, 490.0, 1210.0, 2330.0, 3320.0, 2370.0, 1190.0]

which you can verify:

(-1 * 40) + (2*30) + (-2*20) + (3*10) = 10

(2*40) + (-2 * 30) + (3*20) + (41*10) = 490 and so on