Added doctest to hash_table.py (#11023)

* Added doctest to hash_table.py

* Update hash_table.py

* Update hash_table.py

* Update hash_table.py

* Update hash_table.py

* Apply suggestions from code review

* Update hash_table.py

---------

Co-authored-by: Christian Clauss <cclauss@me.com>
This commit is contained in:
Suyash Dongre 2023-10-27 18:06:43 +05:30 committed by GitHub
parent 5987f86192
commit 34eb9c529a
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@ -52,6 +52,30 @@ class HashTable:
)
def hash_function(self, key):
"""
Generates hash for the given key value
Examples:
Creating HashTable with size 5
>>> ht = HashTable(5)
>>> ht.hash_function(10)
0
>>> ht.hash_function(20)
0
>>> ht.hash_function(4)
4
>>> ht.hash_function(18)
3
>>> ht.hash_function(-18)
2
>>> ht.hash_function(18.5)
3.5
>>> ht.hash_function(0)
0
>>> ht.hash_function(-0)
0
"""
return key % self.size_table
def _step_by_step(self, step_ord):
@ -105,10 +129,99 @@ class HashTable:
i += 1
def _set_value(self, key, data):
"""
_set_value functions allows to update value at a particular hash
Examples:
1. _set_value in HashTable of size 5
>>> ht = HashTable(5)
>>> ht.insert_data(10)
>>> ht.insert_data(20)
>>> ht.insert_data(30)
>>> ht._set_value(0,15)
>>> ht.keys()
{0: 15, 1: 20, 2: 30}
2. _set_value in HashTable of size 2
>>> ht = HashTable(2)
>>> ht.insert_data(17)
>>> ht.insert_data(18)
>>> ht.insert_data(99)
>>> ht._set_value(3,15)
>>> ht.keys()
{3: 15, 2: 17, 4: 99}
3. _set_value in HashTable when hash is not present
>>> ht = HashTable(2)
>>> ht.insert_data(17)
>>> ht.insert_data(18)
>>> ht.insert_data(99)
>>> ht._set_value(0,15)
>>> ht.keys()
{3: 18, 2: 17, 4: 99, 0: 15}
4. _set_value in HashTable when multiple hash are not present
>>> ht = HashTable(2)
>>> ht.insert_data(17)
>>> ht.insert_data(18)
>>> ht.insert_data(99)
>>> ht._set_value(0,15)
>>> ht._set_value(1,20)
>>> ht.keys()
{3: 18, 2: 17, 4: 99, 0: 15, 1: 20}
"""
self.values[key] = data
self._keys[key] = data
def _collision_resolution(self, key, data=None):
"""
This method is a type of open addressing which is used for handling collision.
In this implementation the concept of linear probing has been used.
The hash table is searched sequentially from the original location of the
hash, if the new hash/location we get is already occupied we check for the next
hash/location.
references:
- https://en.wikipedia.org/wiki/Linear_probing
Examples:
1. The collision will be with keys 18 & 99, so new hash will be created for 99
>>> ht = HashTable(3)
>>> ht.insert_data(17)
>>> ht.insert_data(18)
>>> ht.insert_data(99)
>>> ht.keys()
{2: 17, 0: 18, 1: 99}
2. The collision will be with keys 17 & 101, so new hash
will be created for 101
>>> ht = HashTable(4)
>>> ht.insert_data(17)
>>> ht.insert_data(18)
>>> ht.insert_data(99)
>>> ht.insert_data(101)
>>> ht.keys()
{1: 17, 2: 18, 3: 99, 0: 101}
2. The collision will be with all keys, so new hash will be created for all
>>> ht = HashTable(1)
>>> ht.insert_data(17)
>>> ht.insert_data(18)
>>> ht.insert_data(99)
>>> ht.keys()
{2: 17, 3: 18, 4: 99}
3. Trying to insert float key in hash
>>> ht = HashTable(1)
>>> ht.insert_data(17)
>>> ht.insert_data(18)
>>> ht.insert_data(99.99)
Traceback (most recent call last):
...
TypeError: list indices must be integers or slices, not float
"""
new_key = self.hash_function(key + 1)
while self.values[new_key] is not None and self.values[new_key] != key: