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hash_table.py
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#!/usr/bin/env python3
from .number_theory.prime_numbers import next_prime
class HashTable:
"""
Basic Hash Table example with open addressing and linear probing
"""
def __init__(
self,
size_table: int,
charge_factor: int | None = None,
lim_charge: float | None = None,
) -> None:
self.size_table = size_table
self.values = [None] * self.size_table
self.lim_charge = 0.75 if lim_charge is None else lim_charge
self.charge_factor = 1 if charge_factor is None else charge_factor
self.__aux_list: list = []
self._keys: dict = {}
def keys(self):
"""
The keys function returns a dictionary containing the key value pairs.
key being the index number in hash table and value being the data value.
Examples:
1. creating HashTable with size 10 and inserting 3 elements
>>> ht = HashTable(10)
>>> ht.insert_data(10)
>>> ht.insert_data(20)
>>> ht.insert_data(30)
>>> ht.keys()
{0: 10, 1: 20, 2: 30}
2. creating HashTable with size 5 and inserting 5 elements
>>> ht = HashTable(5)
>>> ht.insert_data(5)
>>> ht.insert_data(4)
>>> ht.insert_data(3)
>>> ht.insert_data(2)
>>> ht.insert_data(1)
>>> ht.keys()
{0: 5, 4: 4, 3: 3, 2: 2, 1: 1}
"""
return self._keys
def balanced_factor(self):
return sum(1 for slot in self.values if slot is not None) / (
self.size_table * self.charge_factor
)
def hash_function(self, key):
return key % self.size_table
def _step_by_step(self, step_ord):
print(f"step {step_ord}")
print(list(range(len(self.values))))
print(self.values)
def bulk_insert(self, values):
"""
bulk_insert is used for entering more than one element at a time
in the HashTable.
Examples:
1.
>>> ht = HashTable(5)
>>> ht.bulk_insert((10,20,30))
step 1
[0, 1, 2, 3, 4]
[10, None, None, None, None]
step 2
[0, 1, 2, 3, 4]
[10, 20, None, None, None]
step 3
[0, 1, 2, 3, 4]
[10, 20, 30, None, None]
2.
>>> ht = HashTable(5)
>>> ht.bulk_insert([5,4,3,2,1])
step 1
[0, 1, 2, 3, 4]
[5, None, None, None, None]
step 2
[0, 1, 2, 3, 4]
[5, None, None, None, 4]
step 3
[0, 1, 2, 3, 4]
[5, None, None, 3, 4]
step 4
[0, 1, 2, 3, 4]
[5, None, 2, 3, 4]
step 5
[0, 1, 2, 3, 4]
[5, 1, 2, 3, 4]
"""
i = 1
self.__aux_list = values
for value in values:
self.insert_data(value)
self._step_by_step(i)
i += 1
def _set_value(self, key, data):
self.values[key] = data
self._keys[key] = data
def _collision_resolution(self, key, data=None):
new_key = self.hash_function(key + 1)
while self.values[new_key] is not None and self.values[new_key] != key:
if self.values.count(None) > 0:
new_key = self.hash_function(new_key + 1)
else:
new_key = None
break
return new_key
def rehashing(self):
survivor_values = [value for value in self.values if value is not None]
self.size_table = next_prime(self.size_table, factor=2)
self._keys.clear()
self.values = [None] * self.size_table # hell's pointers D: don't DRY ;/
for value in survivor_values:
self.insert_data(value)
def insert_data(self, data):
"""
insert_data is used for inserting a single element at a time in the HashTable.
Examples:
>>> ht = HashTable(3)
>>> ht.insert_data(5)
>>> ht.keys()
{2: 5}
>>> ht = HashTable(5)
>>> ht.insert_data(30)
>>> ht.insert_data(50)
>>> ht.keys()
{0: 30, 1: 50}
"""
key = self.hash_function(data)
if self.values[key] is None:
self._set_value(key, data)
elif self.values[key] == data:
pass
else:
collision_resolution = self._collision_resolution(key, data)
if collision_resolution is not None:
self._set_value(collision_resolution, data)
else:
self.rehashing()
self.insert_data(data)
if __name__ == "__main__":
import doctest
doctest.testmod()