# Cycle Sort Implementation in Python

Cycle sort is an in-place, unstable sorting algorithm that is known for its efficiency in minimizing the number of writes. The algorithm is based on the idea that the permutation to be sorted can be factored into cycles, and then each cycle can be rotated to place the minimum element in the correct position.

## How Cycle Sort Works

The algorithm works by following these steps:

1. Iterate through the input array
2. For each element in the array, find the correct position in the sorted sequence
3. Rotate the cycle to bring the minimum element to the correct position

## Cycle Sort Implementation

Here’s the implementation of Cycle Sort in Python:

```def cycle_sort(array):
# Loop through the array to find cycles to rotate
for cycleStart in range(0, len(array) - 1):
item = array[cycleStart]

# Find where to put the item
pos = cycleStart
for i in range(cycleStart + 1, len(array)):
if array[i] < item:
pos += 1

# If the item is already there, this is not a cycle
if pos == cycleStart:
continue

# Otherwise, put the item there or right after any duplicates
while item == array[pos]:
pos += 1
array[pos], item = item, array[pos]

# Rotate the rest of the cycle
while pos != cycleStart:
# Find where to put the item
pos = cycleStart
for i in range(cycleStart + 1, len(array)):
if array[i] < item:
pos += 1

# Put the item there or right after any duplicates
while item == array[pos]:
pos += 1
array[pos], item = item, array[pos]

return array
```

Let’s break down the implementation and understand each step:

### Step 1 – Loop through the array to find cycles to rotate

The first step is to loop through the array to find cycles to rotate:

```for cycleStart in range(0, len(array) - 1):
item = array[cycleStart]
```

We initialize a variable `cycleStart` to 0 and iterate until the second last element in the array. For each iteration, we store the element at `cycleStart` in a variable called `item`.

### Step 2 – Find where to put the item

The next step is to find the correct position of the `item` in the sorted sequence:

```pos = cycleStart
for i in range(cycleStart + 1, len(array)):
if array[i] < item:
pos += 1
```

We initialize a variable `pos` to `cycleStart` and iterate from `cycleStart + 1` to the end of the array. For each iteration, we compare the current element with the `item`. If the current element is less than the `item`, we increment the `pos`.

### Step 3 – Put the item in the correct position

The next step is to put the `item` in the correct position:

```# If the item is already there, this is not a cycle
if pos == cycleStart:
continue

# Otherwise, put the item there or right after any duplicates
while item == array[pos]:
pos += 1
array[pos], item = item, array[pos]
```

If the `item` is already in the correct position, we move on to the next iteration. Otherwise, we put the `item` in the correct position or right after any duplicates. We use a while loop to check if there are any duplicates of the `item` at the `pos`, and if so, we move the `pos` to the next index. Once we have found the correct position, we swap the `item` with the element at the `pos`.

### Step 4 – Rotate the rest of the cycle

The final step is to rotate the rest of the cycle:

```while pos != cycleStart:
# Find where to put the item
pos = cycleStart
for i in range(cycleStart + 1, len(array)):
if array[i] < item:
pos += 1
# Put the item there or right after any duplicates
while item == array[pos]:
pos += 1
array[pos], item = item, array[pos]
```

We use a while loop to continue rotating the cycle until we have reached the `cycleStart`. We repeat the same process as before to find the correct position and put the `item` in the correct place. This step ensures that all the elements in the cycle are in their correct positions.

### Step 5 – Return the sorted array

Finally, we return the sorted array:

```return array
```

This completes the implementation of the Cycle Sort algorithm.

## Cycle Sort Time Complexity

The time complexity of Cycle Sort is O(n^2), which is the same as that of Selection Sort and Insertion Sort. However, the number of writes or swaps is less than both Selection Sort and Insertion Sort, making it more efficient in terms of minimizing the number of writes. The space complexity of Cycle Sort is O(1), as the algorithm sorts the input array in place.

• Efficient in minimizing the number of writes or swaps
• In-place sorting algorithm
• Stable sorting algorithm