# Practical Implementation Examples

### Example 1: Extracting Transaction Components

Suppose you have a 36-byte transaction reference (32-byte transaction ID + 4-byte output index) and need to separate these components:

```
<36_byte_txref> 
OP_32 OP_SPLIT    # Split at byte 32
                  # Stack now has: 32-byte TXID | 4-byte index
OP_SWAP           # Reorder if needed
```

```
 
```

This pattern appears frequently in protocols that embed transaction references in script data.

### Example 2: Building Fixed-Format Data Structures

Creating a data structure with specific field lengths:

```
<timestamp>      # Variable length timestamp
OP_8 OP_NUM2BIN # Force to 8 bytes

<amount>         # Variable length amount  
OP_8 OP_NUM2BIN # Force to 8 bytes

<identifier>     # Variable length ID
OP_4 OP_NUM2BIN # Force to 4 bytes

# Combine into 20-byte fixed structure
OP_CAT OP_CAT   # Concatenate all three fields
```

Result: Consistent 20-byte structure regardless of input variations.

<figure><img src="/files/yA8x3re4qy9IbSAUkyTA" alt=""><figcaption></figcaption></figure>

### Example 3: Multi-Step Data Extraction

Extracting a specific byte range from larger data:

```
<large_data>
OP_10 OP_SPLIT   # Remove first 10 bytes
OP_DROP          # Discard the first part
OP_8 OP_SPLIT    # Extract 8 bytes from what remains
OP_SWAP OP_DROP  # Keep the 8 bytes, discard the rest
```

This extracts bytes 10-17 from the original data, useful for parsing structured formats.

**Best practices for data transformation:**

* **Plan your data flow:** Sketch out transformations before coding
* **Minimize operations:** Each opcode adds to script size and execution cost
* **Validate lengths:** Ensure input data matches expected sizes
* **Test edge cases:** Empty sequences, maximum lengths, boundary conditions
* **Consider alternatives:** Sometimes restructuring your approach reduces transformation needs


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