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Hash tables are highly efficient data structures used for storing and retrieving data. They utilize a hash function to compute an index where elements are stored based on their keys. This allows for fast retrieval of data as the hash function provides a direct mapping between the key and the memory location where the element is stored.

In the context of robotics and computer vision, hash tables play a crucial role in efficient data access. They provide constant-time complexity for insertion and retrieval operations, making them ideal for scenarios that require fast data access.

To implement a hash table in Python, we can define a hash table class with methods for insertion and retrieval. The basic unit of data in a hash table is the key-value pair. Each key in the hash table must be unique, and the associated value can be any type of data.

PYTHON
1# Define a Hash Table Class
2class HashTable:
3    def __init__(self):
4        self.size = 100
5        self.table = [None] * self.size
6
7    def _hash(self, key):
8        return hash(key) % self.size
9
10    def insert(self, key, value):
11        index = self._hash(key)
12        if self.table[index] is None:
13            self.table[index] = []
14        self.table[index].append((key, value))
15
16    def get(self, key):
17        index = self._hash(key)
18        if self.table[index] is None:
19            return None
20        for pair in self.table[index]:
21            if pair[0] == key:
22                return pair[1]
23        return None
24
25# Create a Hash Table
26table = HashTable()
27
28# Insert Key-Value Pairs
29table.insert('robot1', 'Red Robot')
30table.insert('robot2', 'Blue Robot')
31
32t# Get Values by Keyprint(table.get('robot1'))  # Output: 'Red Robot'
33print(table.get('robot2'))  # Output: 'Blue Robot'
34print(table.get('robot3'))  # Output: None```
35
36In the example above, we define a `HashTable` class with an initial size of 100. The `_hash` method calculates the index using the hash value of the key and the size of the hash table. The `insert` method inserts a key-value pair into the hash table at the calculated index. The `get` method retrieves the value associated with a given key by searching for the key in the hash table at the calculated index.
37
38We create an instance of the `HashTable` class and insert key-value pairs for two robots. We then retrieve the values by their corresponding keys using the `get` method.
39
40Hash tables provide an efficient solution for storing and retrieving data in robotics applications. By utilizing a hash function, hash tables enable fast data access and retrieval, making them a valuable tool in the field of robotics.
PYTHON
OUTPUT
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Define a Hash Table Class

class HashTable: def init(self): self.size = 100 self.table = None * self.size

TEXT
OUTPUT
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Create a Hash Table

table = HashTable()

Insert Key-Value Pairs

table.insert('robot1', 'Red Robot') table.insert('robot2', 'Blue Robot')

t# Get Values by Keyprint(table.get('robot1')) # Output: 'Red Robot' print(table.get('robot2')) # Output: 'Blue Robot' print(table.get('robot3')) # Output: None`

TEXT
OUTPUT
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