Hashma - cywongg/2025 GitHub Wiki
For a quick and clean solution in C# that is both efficient and readable, you can use LINQ with built-in dictionary methods like TryGetValue
and FirstOrDefault
. Here's how you can do it:
using System;
using System.Collections.Generic;
using System.Linq;
class Program
{
static void Main()
{
// Example dictionary where keys are strings and values are lists of objects
var hashMap = new Dictionary<string, List<object>>
{
{ "key1", new List<object> { "value1", "value2" } },
{ "key2", new List<object> { "value3", "value4" } },
{ "key3", new List<object> { "value5", "value6" } }
};
// List of keys to search for
var keysToFind = new List<string> { "key1", "key3" };
// Use LINQ to get the first values for matching keys
var firstValues = keysToFind
.Select(key => hashMap.TryGetValue(key, out var values) ? values.FirstOrDefault() : null)
.Where(value => value != null)
.ToList();
// Output the results
Console.WriteLine("First values of matching keys:");
foreach (var value in firstValues)
{
Console.WriteLine(value);
}
}
}
-
TryGetValue
: Efficiently retrieves the values for a key without throwing exceptions if the key doesn't exist. -
FirstOrDefault
: Retrieves the first value from the list ornull
if the list is empty. -
Where(value => value != null)
: Filters out anynull
results, ensuring only valid values are returned. - LINQ: Makes the code succinct and easier to read by chaining operations.
- Minimized Loops: Instead of manually iterating and checking keys, LINQ handles this in a single pipeline.
-
Efficient Access:
TryGetValue
avoids the overhead of usingContainsKey
followed by an indexer lookup. -
Short-Circuiting: Operations like
FirstOrDefault
stop as soon as the first value is found, making it faster for large lists.
For the dictionary:
{
"key1": ["value1", "value2"],
"key2": ["value3", "value4"],
"key3": ["value5", "value6"]
}
And the list of keys:
["key1", "key3"]
The output will be:
First values of matching keys:
value1
value5
This LINQ-based approach is clean, concise, and avoids excessive boilerplate code, making it both efficient and easy to maintain.