implement optimizations

README.md

@@ -6,16 +6,7 @@ Supported [PRNG](https://en.wikipedia.org/wiki/Pseudorandom_number_generator) al
 - LCG
 
 Supported [CSPRNG](https://en.wikipedia.org/wiki/Cryptographically_secure_pseudorandom_number_generator) algorithms:
-- HMAC DRBG
-
-## Targets
-
-| Target           | Status        |
-|------------------|---------------|
-| JVM              | Supported     |
-| JavaScript       | Supported     |
-| Native (Linux)   | Supported     |
-| Native (Windows) | Not Supported |
+- HMAC-DRBG
 
 ## Installation
 
@@ -27,34 +18,30 @@ repositories {
 }
 
 dependencies {
-    implementation("com.infendro:prng:1.2.0")
+    implementation("com.infendro:prng:1.3.0")
 }
 ```
 
 ## Usage
 
 ```kotlin
-import com.infendro.hash.sha2.`SHA-256`
-import com.infendro.random.csprng.CSPRNG
-
 fun main() {
-    // create a PRNG instance
+    // create PRNG instance
     val rng = CSPRNG.HMAC(`SHA-256`)
 
-    // seed the PRNG to receive predictable results
-    rng.seed(/* some seed */)
+    // seed PRNG to receive deterministic numbers
+    rng.seed(/* seed */)
     val a = rng.nextInt()
     val b = rng.nextInt()
     val c = rng.nextInt()
 
-    // reseed the PRNG to add entropy to the following results
-    rng.reseed(/* some random entropy */)
+    // reseed PRNG to add additional entropy
+    rng.reseed(/* entropy */)
     val d = rng.nextInt()
     val e = rng.nextInt()
     val f = rng.nextInt()
 
-    // each run:
-    // a, b, and c will be predictable
-    // d, e, and f will be random (assuming the entropy is also random)
+    // a, b, and c will be deterministic
+    // d, e, and f will be random (assuming entropy is random)
 }
 ```