75 lines
1.9 KiB
Python
75 lines
1.9 KiB
Python
import time
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import random
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import csv
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import matplotlib.pyplot as plt
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import numpy as np
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def ll_insert(head, name, phone):
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new_node = {'name': name, 'phone': phone, 'next': None}
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if head is None:
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return new_node
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current = head
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while current:
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if current['name'] == name:
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current['phone'] = phone
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return head
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if current['next'] is None:
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current['next'] = new_node
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return head
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current = current['next']
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return head
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def ll_find(head, name):
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current = head
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while current:
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if current['name'] == name:
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return current['phone']
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current = current['next']
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return None
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def ll_delete(head, name):
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if head is None:
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return None
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if head['name'] == name:
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return head['next']
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current = head
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while current['next']:
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if current['next']['name'] == name:
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current['next'] = current['next']['next']
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return head
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current = current['next']
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return head
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def ll_list_all(head):
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records = []
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current = head
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while current:
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records.append((current['name'], current['phone']))
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current = current['next']
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return sorted(records, key=lambda x: x[0])
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def hash_func(name, size):
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return sum(ord(c) for c in name) % size
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def ht_create(size=1000):
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return [None] * size
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def ht_insert(table, name, phone):
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idx = hash_func(name, len(table))
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table[idx] = ll_insert(table[idx], name, phone)
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def ht_find(table, name):
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idx = hash_func(name, len(table))
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return ll_find(table[idx], name)
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def ht_delete(table, name):
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idx = hash_func(name, len(table))
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table[idx] = ll_delete(table[idx], name)
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def ht_list_all(table):
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records = []
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for bucket in table:
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current = bucket
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while current:
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records.append((current['name'], current['phone']))
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current = current['next']
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return sorted(records, key=lambda x: x[0]) |