fixed formatting

learning-examples/calculate_discriminator.py

@@ -5,21 +5,23 @@ import struct
 # Set the instruction name here
 instruction_name = "account:BondingCurve"
 
+
 def calculate_discriminator(instruction_name):
     # Create a SHA256 hash object
     sha = hashlib.sha256()
-    
+
     # Update the hash with the instruction name
-    sha.update(instruction_name.encode('utf-8'))
-    
+    sha.update(instruction_name.encode("utf-8"))
+
     # Get the first 8 bytes of the hash
     discriminator_bytes = sha.digest()[:8]
-    
+
     # Convert the bytes to a 64-bit unsigned integer (little-endian)
-    discriminator = struct.unpack('<Q', discriminator_bytes)[0]
-    
+    discriminator = struct.unpack("<Q", discriminator_bytes)[0]
+
     return discriminator
 
+
 # Calculate the discriminator for the specified instruction
 discriminator = calculate_discriminator(instruction_name)
 
@@ -28,4 +30,4 @@ print(f"Discriminator for '{instruction_name}' instruction: {discriminator}")
 # global:buy discriminator - 16927863322537952870
 # global:sell discriminator - 12502976635542562355
 # global:create discriminator - 8576854823835016728
-# account:BondingCurve discriminator - 6966180631402821399
+# account:BondingCurve discriminator - 6966180631402821399