Define the function lake_to_tli3_dict(readings) that takes a list of (lake_name, chla, tn, tp) tuples and returns a dict mapping lake names to trophic level index values. That is, the keys are lake names and the values will be TLI3 values.Notes:You will need to have import math as your first line of code.You must include and use/call the trophic_level_index function that you wrote in Question 1.trophic_level_index must still work as specified in Question 1.Lakes should be added to the dictionary in the same order as they appear in the readings list.If a lake appears in the readings list more than once, then the TLI for the last occurrence in the readings list should be the one that appears in the result. (This should happen naturally, since the lake name can only occur in the dictionary once.)For example:TestResultnames_cnp_1 = [('Lake Brunner', 0.8, 218.0, 6.0), ('Lake Carrot', 5.1, 505.0, 18.5) ] tli3_dict = lake_to_tli3_dict(names_cnp_1 ) print(tli3_dict){'Lake Brunner': 2.6309347546098785, 'Lake Carrot': 4.154092247454243}names_cnp_2 = [('Coopers Lagoon', 1.95, 1550.0, 8.0), ('Lake Carrot', 5.1, 505.0, 18.5), ('Lake Ellesmere', 64.0, 2200.0, 220.0), ('Lake Brunner', 0.8, 218.0, 6.0), ('Lake Dunstan', 1.09, 69.0, 4.0) ] tli3_dict = lake_to_tli3_dict(names_cnp_2) for name, tli3 in tli3_dict.items(): print(f'{name} -> {tli3:.4f}')Coopers Lagoon -> 3.9349 Lake Carrot -> 4.1541 Lake Ellesmere -> 6.7721 Lake Brunner -> 2.6309 Lake Dunstan -> 2.0720

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Computer Networking: A Top-Down Approach (7th Edition)

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ISBN:9780133594140

Author:James Kurose, Keith Ross

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Chapter1: Computer Networks And The Internet

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Define the function lake_to_tli3_dict(readings) that takes a list of (lake_name, chla, tn, tp) tuples and returns a dict mapping lake names to trophic level index values. That is, the keys are lake names and the values will be TLI3 values.

Notes:

You will need to have import math as your first line of code.
You must include and use/call the trophic_level_index function that you wrote in Question 1.
- trophic_level_index must still work as specified in Question 1.
Lakes should be added to the dictionary in the same order as they appear in the readings list.
If a lake appears in the readings list more than once, then the TLI for the last occurrence in the readings list should be the one that appears in the result. (This should happen naturally, since the lake name can only occur in the dictionary once.)

For example:

Test	Result
names_cnp_1 = [('Lake Brunner', 0.8, 218.0, 6.0), ('Lake Carrot', 5.1, 505.0, 18.5) ] tli3_dict = lake_to_tli3_dict(names_cnp_1 ) print(tli3_dict)	{'Lake Brunner': 2.6309347546098785, 'Lake Carrot': 4.154092247454243}
names_cnp_2 = [('Coopers Lagoon', 1.95, 1550.0, 8.0), ('Lake Carrot', 5.1, 505.0, 18.5), ('Lake Ellesmere', 64.0, 2200.0, 220.0), ('Lake Brunner', 0.8, 218.0, 6.0), ('Lake Dunstan', 1.09, 69.0, 4.0) ] tli3_dict = lake_to_tli3_dict(names_cnp_2) for name, tli3 in tli3_dict.items(): print(f'{name} -> {tli3:.4f}')	Coopers Lagoon -> 3.9349 Lake Carrot -> 4.1541 Lake Ellesmere -> 6.7721 Lake Brunner -> 2.6309 Lake Dunstan -> 2.0720

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