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1) Write code to pack your suitcase. I've included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed % of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.

1) Write code to pack your suitcase. I've included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed % of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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I need this done in Python and have included what the CSV file contains. Thanks!

1) Write code to pack your suitcase. I’ve included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed ½ of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.
Transcribed Image Text:1) Write code to pack your suitcase. I’ve included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight < 1000 and a value > 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed in the csv file. A. Implement the fractional knapsack problem. When writing out the items packed, include the fraction of the item packed (0 to 1). The value of the item is based upon the fraction of the item packed. For example, if the item has a value of 1 and you packed ½ of it, then the value of packing that item would be 0.5. B. Implement the integer knapsack problem.
**Item List with Values and Weights** Below is a detailed list of various items, each with its associated value and weight. This data can be useful for educational purposes such as exercises in data analysis, economics, or logistics. | Item | Value | Weight | |--------------------|-------|--------| | 1st aid box | 1880 | 700 | | 1st aid jar | 736 | 500 | | 1st aid kit [square]| -184 | 700 | | Baby bottle | 365 | 600 | | Baby carriage | 1455 | 10000 | | Basket | 910 | 249 | | BBQ fork | 536 | 450 | | Beach chair | -1209 | 7000 | | Bicycle | -61 | 13154 | | Book | 1949 | 680 | | Bowl | 1057 | 900 | | Bracelet | 916 | 80 | | Broom | 1826 | 680 | | Bucket | 881 | 541 | **Notes:** - Items are arranged in a tabular format with three columns: Item, Value, and Weight. - The values can be positive or negative, indicating potential profit or loss. - Weights are provided in an unspecified unit and indicate the heaviness or volume of the item.
Transcribed Image Text:**Item List with Values and Weights** Below is a detailed list of various items, each with its associated value and weight. This data can be useful for educational purposes such as exercises in data analysis, economics, or logistics. | Item | Value | Weight | |--------------------|-------|--------| | 1st aid box | 1880 | 700 | | 1st aid jar | 736 | 500 | | 1st aid kit [square]| -184 | 700 | | Baby bottle | 365 | 600 | | Baby carriage | 1455 | 10000 | | Basket | 910 | 249 | | BBQ fork | 536 | 450 | | Beach chair | -1209 | 7000 | | Bicycle | -61 | 13154 | | Book | 1949 | 680 | | Bowl | 1057 | 900 | | Bracelet | 916 | 80 | | Broom | 1826 | 680 | | Bucket | 881 | 541 | **Notes:** - Items are arranged in a tabular format with three columns: Item, Value, and Weight. - The values can be positive or negative, indicating potential profit or loss. - Weights are provided in an unspecified unit and indicate the heaviness or volume of the item.
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