updated baseline

Updated vcpkg section and added instructions for using prebuilt binaries from GitHub Releases.

INSTALL.md

@@ -1,6 +1,6 @@
 # 📥Installation Guide
 
-## <img width="28px" src="https://vcpkg.io/assets/mark/mark.svg" /> Using vcpkg
+## <img width="28px" src="https://vcpkg.io/assets/mark/mark.svg" /> Using vcpkg (recomended)
 **Note**: Support vcpkg for package management
 1. Install [vcpkg](https://github.com/microsoft/vcpkg)
 2. Run the following command to install the orange-math package:
@@ -28,6 +28,46 @@ target("...")
     add_packages("omath")
 ```
 
+## <img width="28px" src="https://github.githubassets.com/favicons/favicon.svg" /> Using prebuilt binaries (GitHub Releases)
+
+**Note**: This is the fastest option if you don’t want to build from source.
+
+1. **Go to the Releases page**
+   - Open the project’s GitHub **Releases** page and choose the latest version.
+
+2. **Download the correct asset for your platform**
+   - Pick the archive that matches your OS and architecture (for example: Windows x64 / Linux x64 / macOS arm64).
+
+3. **Extract the archive**
+   - You should end up with something like:
+     - `include/` (headers)
+     - `lib/` or `bin/` (library files / DLLs)
+     - sometimes `cmake/` (CMake package config)
+
+4. **Use it in your project**
+
+   ### Option A: CMake package (recommended if the release includes CMake config files)
+   If the extracted folder contains something like `lib/cmake/omath` or `cmake/omath`, you can point CMake to it:
+
+   ```cmake
+   # Example: set this to the extracted prebuilt folder
+   list(APPEND CMAKE_PREFIX_PATH "path/to/omath-prebuilt")
+
+   find_package(omath CONFIG REQUIRED)
+   target_link_libraries(main PRIVATE omath::omath)
+   ```
+   ### Option B: Manual include + link (works with any layout)
+   If there’s no CMake package config, link it manually:
+   ```cmake
+   target_include_directories(main PRIVATE "path/to/omath-prebuilt/include")
+
+    # Choose ONE depending on what you downloaded:
+    # - Static library: .lib / .a
+    # - Shared library: .dll + .lib import (Windows), .so (Linux), .dylib (macOS)
+    
+    target_link_directories(main PRIVATE "path/to/omath-prebuilt/lib")
+    target_link_libraries(main PRIVATE omath)  # or the actual library filename
+    ```
 ## <img width="28px" src="https://upload.wikimedia.org/wikipedia/commons/e/ef/CMake_logo.svg?" /> Build from source using CMake 
 1. **Preparation**
    

include/omath/containers/encrypted_variable.hpp

@@ -62,20 +62,13 @@ namespace omath::detail
         return splitmix64(base_seed() + 0xD1B54A32D192ED03ull * (Stream + 1));
     }
 
-    [[nodiscard]]
-    consteval std::uint64_t bounded_u64(const std::uint64_t x, const std::uint64_t bound)
-    {
-        return (x * bound) >> 64;
-    }
-
     template<std::int64_t Lo, std::int64_t Hi, std::uint64_t Stream>
     [[nodiscard]]
     consteval std::int64_t rand_uint8_t()
     {
         static_assert(Lo <= Hi);
-        const std::uint64_t span = static_cast<std::uint64_t>(Hi - Lo) + 1ull;
         const std::uint64_t r = rand_u64<Stream>();
-        return static_cast<std::int64_t>(bounded_u64(r, span)) + Lo;
+        return static_cast<std::int64_t>(r) + Lo;
     }
     [[nodiscard]]
     consteval std::uint64_t rand_u64(const std::uint64_t seed, const std::uint64_t i)

vcpkg-configuration.json

@@ -1,7 +1,7 @@
 {
   "default-registry": {
     "kind": "git",
-    "baseline": "b1b19307e2d2ec1eefbdb7ea069de7d4bcd31f01",
+    "baseline": "05442024c3fda64320bd25d2251cc9807b84fb6f",
     "repository": "https://github.com/microsoft/vcpkg"
   },
   "registries": [