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+---
+Title: 'max-load-factor()'
+Description: 'Gets or sets the maximum average number of elements per bucket before rehashing occurs in an unordered map.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Map'
+  - 'STL'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`unordered_map::max_load_factor`** function in C++ is used to get or set the maximum load factor of an `unordered_map`. The load factor represents the average number of elements per bucket (i.e., total elements divided by total buckets). By default, this value is set to `1.0`.
+
+## Syntax
+
+```cpp
+unordered_mapName.max_load_factor();  // Getter
+unordered_mapName.max_load_factor(value);  // Setter
+```
+
+**Parameters:**
+
+- `value` (optional): A `float` specifying the new maximum load factor. Must be greater than 0.
+
+**Return value:**
+
+Returns the current maximum load factor as a `float`.
+
+## Example 1: Getting the default load factor
+
+This example prints the default max load factor of an unordered map:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<int, int> myMap;
+  cout << "Default max load factor: " << myMap.max_load_factor() << endl;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Default max load factor: 1
+```
+
+This shows that the default load factor is typically `1.0`, meaning the map aims for one element per bucket.
+
+## Example 2: Setting a custom load factor to reduce rehashing
+
+This example increases the max load factor to reduce the frequency of rehashing during insertions:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<int, int> data;
+  data.max_load_factor(2.5);
+
+  cout << "New max load factor: " << data.max_load_factor() << endl;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+New max load factor: 2.5
+```
+
+Raising the load factor allows more elements per bucket, delaying rehashing and potentially improving insertion performance.
+
+## Codebyte Example: Lowering load factor to improve search speed
+
+This example sets a lower load factor to prioritize faster lookups in a time-critical application:
+
+```codebye/cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<string, int> wordCount;
+  wordCount.max_load_factor(0.5);
+
+  wordCount["optimize"] = 1;
+  wordCount["speed"] = 2;
+
+  cout << "Load factor set for quick access: " << wordCount.max_load_factor() << endl;
+  return 0;
+}
+```
+
+## Frequently asked questions
+
+### 1. What is the default `max_load_factor` for an unordered_map?
+
+It's usually `1.0`, meaning one element per bucket on average before rehashing is triggered.
+
+### 2. Does increasing the load factor make the map faster?
+
+It can speed up insertions by reducing rehashes, but may slow down lookups due to more collisions.
+
+### 3. What happens if I set the load factor too low?
+
+The map will rehash more often, using more memory and slowing down insertions, but lookups may become faster.