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https://github.com/onyx-and-iris/grokking-algorithms.git
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66 lines
1.7 KiB
Python
66 lines
1.7 KiB
Python
import logging
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from dataclasses import dataclass
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from tabulate import tabulate
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logging.basicConfig(
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level=logging.DEBUG,
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format="%(asctime)s %(levelname)s\n\r%(message)s",
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datefmt="%H:%M:%S",
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)
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logger = logging.getLogger(__name__)
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@dataclass
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class Location:
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name: str
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time: int
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rating: int
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def dynamic(items, n):
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# create table and zero fill it (required for calculations)
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table = [[0 for _ in range(2 * (W + 1) - 1)] for _ in range(n + 1)]
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# calculate all possible max values for items in knapsack
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for i in range(1, n + 1):
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for w in range(1, 2 * (W + 1) - 1):
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if items[i - 1].time <= w:
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table[i][w] = max(
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items[i - 1].rating + table[i - 1][w - items[i - 1].time],
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table[i - 1][w],
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)
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else:
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table[i][w] = table[i - 1][w]
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format_and_print(table)
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return table[-1][-1]
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def format_and_print(table):
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# enumerate first row (headings) + label each row in column0
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for i, row in enumerate(table):
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if i == 0:
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continue
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row[0] = locations[i - 1].name
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table[0] = [None, *[i / 2 for i in range(1, 2 * (W + 1) - 1)]]
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# print tabularised 2D array
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logger.info([item.name for item in locations])
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logger.info(tabulate(table, tablefmt="pretty"))
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# values converted to integers
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locations = [
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Location("Westminster Abbey", 1, 7),
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Location("Globe Theater", 1, 6),
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Location("National Gallery", 2, 9),
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Location("British Museum", 4, 9),
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Location("St. Pauls Cathedral", 1, 8),
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]
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W = 2
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greatest_value = dynamic(locations, len(locations))
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print(f"Greatest value: {greatest_value}")
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