write a paragraph explain this function, and describe the specific technique of this function. This function is in python 3.8.2.
def relevant(products, preferences):
relevant_list=[]
for i in range(len(products)):
check=True#check for item i dominating every other
for j in range(len(products)):
if products[i] != products[j]:
dominatedCheck=False#check for i dominating j by being true in atleast 1 preference
for k in preferences:#check between i and j, if any one condition is true, check is fulfilled
if k[1]==1:
dominatedCheck = dominatedCheck or products[i][k[0]]>products[j][k[0]]
else:
dominatedCheck = dominatedCheck or products[i][k[0]]
check=True and dominatedCheck#if i dominated j in atleast one, this will stay true, else false
if check==False:
break#skip as this is already false
if check:#if i dominated all other items, add to selected
relevant_list.append(products[i])
return relevant_list
***************************************************************************
This function is answer for:
Filters a product table for relevant products given user preferences.
Input : A product table (products) and a list of preferences, where
each preference is a pair (i, p) with i being the index of to a
numeric column in products and p is either +1 or -1 depending
on whether the user considers feature i to be positive or negative.
Output: A new list of products that are relevant with respect to the
preferences. A product is relevant if it is not dominated by another
product, which is defined as follows:
- prod1 dominates prod2 with respect to preference (i,p) if
prod1[i] > prod2[i] in case p=1 (or prod1[i] < prod2[i] in case p=-1)
- prod1 dominates prod2 if prod1 dominates prod2 with respect to at
least one specified preference and not prod2 does not dominate prod2
with respect to any specified preference
For example:
>>> phones = [['iPhone11', 'Apple', 6.1, 3110, 1280],
... ['Galaxy S21', 'Samsung', 6.2, 3300, 1348],
... ['Nova 5T', 'Huawei', 6.26, 3700, 497],
... ['P30 Pro', 'Huawei', 6.4, 3500, 398],
... ['R17 Pro', 'Oppo', 6.6, 3200, 457],
... ['Pixel 3', 'Google', 6.3, 3800, 688]]
>>> large_battery_but_cheap = [(3,1), (4,-1)]
>>> relevant(phones, large_battery_but_cheap)
[['Nova 5T', 'Huawei', 6.26, 3700, 497], ['P30 Pro', 'Huawei', 6.4, 3500, 398], ['Pixel 3', 'Google', 6.3, 3800, 688]]
>>> big_screen = [(2,1)]
>>> relevant(phones, big_screen)
[['R17 Pro', 'Oppo', 6.6, 3200, 457]]
>>> big_screen_but_cheap = [(2,1),(4,-1)]
>>> relevant(phones, big_screen_but_cheap)
[['P30 Pro', 'Huawei', 6.4, 3500, 398], ['R17 Pro', 'Oppo', 6.6, 3200, 457]]
>>> big_screen_large_battery = [(2,1),(3,1)]
>>> relevant(phones, big_screen_large_battery)
[['P30 Pro', 'Huawei', 6.4, 3500, 398], ['R17 Pro', 'Oppo', 6.6, 3200, 457], ['Pixel 3', 'Google', 6.3, 3800, 688]]
******************************************************************************************************************************
Can you answer this ASAP?
The function used here is named relevant () function, and the arguments passed are prducts and preferrences. Then an empty list is created for the function. A loop is applied till the length of the list. Another loop for same and it's been checked whether the length(i) is equal or not to the length in j, for the product.
dominatedCheck=False, thi statement checks if i dominating j by being true in atleast 1 preference.
The following is the pattern of input that this function takes.
A product table (products) and a list of preferences, where each preference is a pair (i, p) with i being the index of to a numeric column in products and p is either +1 or -1 depending on whether the user considers feature i to be positive or negative.
and the output pattern is a new list of products that are relevant with respect to the preferences.
A product is relevant if it is not dominated by another product is defined by dominatedCheck in the function.
and at the end it returns the relevant list.
write a paragraph explain this function, and describe the specific technique of this function. This function...