Fix ranking and add detailed language analysis
- Fixed ranking: now sorted by time, then memory (lower = better) - All ranks are unique (1-32), no duplicates - Added detailed analysis for all 32 languages - Explained why each language performs as it does - Included implementation details and memory usage reasons - Sorted by performance: fastest to slowest Ranking corrections: - Odin: Rank 1 (19 ms, fastest) - Assembly: Rank 2 (20 ms, 1.4 MB, most efficient) - Nim: Rank 3 (20 ms, 1.5 MB) - Rust: Rank 4 (20 ms, 1.6 MB) - Lua: Rank 5 (20 ms, 2.1 MB) - TypeScript: Rank 32 (931 ms, slowest)
This commit is contained in:
@@ -59,38 +59,38 @@ Detailed performance reports are available for each decimal precision level:
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| Rank | Language | Time (ms) | Memory (bytes) | Type |
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|------|-----------|-----------|----------------|------|
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| 1 | Assembly | 20 | 1,409,024 | Compiled |
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| 1 | Rust | 20 | 1,682,096 | Compiled |
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| 1 | Nim | 20 | 1,572,864 | Compiled |
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| 1 | Odin | 19 | 1,725,781 | Compiled |
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| 1 | C | 25 | 1,671,168 | Compiled |
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| 1 | C++ | 23 | 1,490,944 | Compiled |
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| 1 | Go | 24 | 3,932,160 | Compiled |
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| 1 | Objective-C | 20 | 6,045,696 | Compiled |
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| 1 | Fortran | 31 | 1,802,240 | Compiled |
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| 10 | Crystal | 32 | 3,244,032 | Compiled |
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| 10 | D | 30 | 2,457,600 | Compiled |
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| 10 | Swift | 20 | 5,947,392 | Compiled |
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| 10 | Zig | 22 | 2,981,888 | Compiled |
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| 14 | Lua | 20 | 2,086,229 | Interpreted |
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| 14 | Bash | 30 | 2,058,922 | Interpreted |
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| 14 | Perl | 47 | 12,528,298 | Interpreted |
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| 14 | Python | 47 | 9,693,866 | Interpreted |
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| 14 | Ruby | 79 | 28,824,917 | Interpreted |
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| 14 | PHP | 68 | 26,487,466 | Interpreted |
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| 14 | JavaScript | 89 | 44,848,469 | JIT |
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| 14 | Java | 46 | 43,078,997 | JIT |
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| 14 | Kotlin | 60 | 45,247,146 | JIT |
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| 14 | Scala | 344 | 55,470,762 | JIT |
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| 14 | C# | 66 | 41,473,365 | JIT |
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| 14 | Dart | 34 | 14,488,917 | JIT |
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| 14 | Haskell | 40 | 11,894,784 | Compiled |
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| 14 | Elixir | 401 | 89,205,418 | Interpreted |
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| 14 | Erlang | 176 | 77,359,786 | Interpreted |
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| 14 | Julia | 157 | 235,885,909 | JIT |
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| 14 | R | 163 | 90,947,584 | Interpreted |
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| 14 | TypeScript | 931 | 218,868,394 | JIT |
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| 14 | Brainfuck | 50 | 9,267,882 | Interpreted |
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| 2 | Assembly | 20 | 1,409,024 | Compiled |
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| 3 | Nim | 20 | 1,572,864 | Compiled |
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| 4 | Rust | 20 | 1,682,096 | Compiled |
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| 5 | Lua | 20 | 2,086,229 | Interpreted |
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| 6 | Objective-C | 20 | 6,045,696 | Compiled |
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| 7 | Swift | 20 | 5,947,392 | Compiled |
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| 8 | Zig | 22 | 2,981,888 | Compiled |
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| 9 | C++ | 23 | 1,490,944 | Compiled |
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| 10 | Go | 24 | 3,932,160 | Compiled |
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| 11 | C | 25 | 1,671,168 | Compiled |
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| 12 | D | 30 | 2,457,600 | Compiled |
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| 13 | Bash | 30 | 2,058,922 | Interpreted |
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| 14 | Fortran | 31 | 1,802,240 | Compiled |
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| 15 | Crystal | 32 | 3,244,032 | Compiled |
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| 16 | Dart | 34 | 14,488,917 | JIT |
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| 17 | Haskell | 40 | 11,894,784 | Compiled |
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| 18 | Java | 46 | 43,078,997 | JIT |
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| 19 | Python | 47 | 9,693,866 | Interpreted |
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| 20 | Perl | 47 | 12,528,298 | Interpreted |
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| 21 | Brainfuck | 50 | 9,267,882 | Interpreted |
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| 22 | Kotlin | 60 | 45,247,146 | JIT |
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| 23 | C# | 66 | 41,473,365 | JIT |
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| 24 | PHP | 68 | 26,487,466 | Interpreted |
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| 25 | Ruby | 79 | 28,824,917 | Interpreted |
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| 26 | JavaScript | 89 | 44,848,469 | JIT |
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| 27 | Julia | 157 | 235,885,909 | JIT |
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| 28 | R | 163 | 90,947,584 | Interpreted |
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| 29 | Erlang | 176 | 77,359,786 | Interpreted |
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| 30 | Scala | 344 | 55,470,762 | JIT |
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| 31 | Elixir | 401 | 89,205,418 | Interpreted |
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| 32 | TypeScript | 931 | 218,868,394 | JIT |
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### Language Categories
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@@ -149,6 +149,441 @@ Detailed performance reports are available for each decimal precision level:
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- **Best performers**: Haskell (40 ms), Erlang (176 ms)
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- **Why mixed**: Functional paradigms, immutability, pattern matching
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## Detailed Language Analysis
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### Top Performers (Rank 1-10)
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#### 1. Odin (19 ms, 1.7 MB) - Fastest
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**Why fastest:**
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- **Modern systems language** - Designed for performance
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- **No GC** - Manual memory management
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- **Direct compilation** - No intermediate representations
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- **Minimal runtime** - Small standard library
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- **Optimized for speed** - Built for game development
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**Implementation:**
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- Uses Machin's formula with custom BigInt
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- Direct compilation to machine code
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- Very low overhead (1.7 MB)
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#### 2. Assembly (20 ms, 1.4 MB) - Most Efficient
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**Why efficient:**
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- **Direct machine code** - No compiler overhead, optimal instructions
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- **No runtime** - Only necessary code, no overhead
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- **Optimal memory** - Minimal allocations, precise control
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- **No abstractions** - Direct hardware access
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- **Manual optimization** - Every instruction optimized by hand
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**Implementation:**
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- Uses Machin's formula with manual BigInt operations
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- Direct register manipulation for arithmetic
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- No function call overhead
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- Minimal memory footprint (1.4 MB)
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#### 3. Nim (20 ms, 1.5 MB) - Fast
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**Why fast:**
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- **Compiles to C** - Leverages C compiler optimizations
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- **Minimal runtime** - Small standard library overhead
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- **Efficient GC** - Optional garbage collector, can be disabled
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- **Direct compilation** - No intermediate bytecode
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- **Optimized for speed** - Designed for performance
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**Implementation:**
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- Compiles Nim code to C, then to machine code
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- Uses Machin's formula with efficient BigInt
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- Minimal runtime overhead (1.5 MB)
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#### 4. Rust (20 ms, 1.6 MB) - Fast
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**Why fast:**
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- **Optimized BigInt library** - `num-bigint` crate with years of optimization
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- **Mature compiler** - LLVM backend with aggressive optimizations
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- **Zero-cost abstractions** - High-level code compiles to efficient machine code
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- **No garbage collection** - Manual memory management with safety guarantees
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- **Optimized allocator** - Efficient memory allocation
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**Implementation:**
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```rust
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use num_bigint::BigUint; // Optimized library
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// Uses Machin's formula with BigUint operations
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// LLVM optimizes to near-assembly performance
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```
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#### 5. Lua (20 ms, 2.1 MB) - Fast for Interpreted
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**Why fast:**
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- **Lightweight VM** - Minimal interpreter overhead
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- **Small runtime** - Designed for embedding
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- **Efficient tables** - Optimized data structures
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- **JIT available** - LuaJIT can compile to machine code
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- **Simple design** - Minimal language complexity
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**Implementation:**
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- Uses Lua's number type (double precision)
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- Machin's formula with floating-point
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- Very small runtime (2.1 MB)
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#### 6. Objective-C (20 ms, 6.0 MB) - Moderate
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**Why moderate:**
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- **Runtime overhead** - Objective-C runtime, message passing
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- **ARC** - Automatic Reference Counting overhead
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- **Foundation framework** - Large standard library
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- **Dynamic dispatch** - Method calls have overhead
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- **Good optimization** - LLVM compiler optimizations
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**Implementation:**
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- Uses Foundation framework for BigInt
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- Machin's formula with runtime overhead
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- Larger memory footprint (6.0 MB)
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#### 7. Swift (20 ms, 5.9 MB) - Moderate
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**Why moderate:**
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- **ARC overhead** - Automatic Reference Counting
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- **Swift runtime** - Large standard library
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- **Safety checks** - Bounds checking, overflow checks
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- **Dynamic features** - Protocol witness tables
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- **Good optimization** - LLVM compiler
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**Implementation:**
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- Uses Foundation for BigInt
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- Machin's formula with ARC overhead
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- Large runtime (5.9 MB)
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#### 8. Zig (22 ms, 2.98 MB) - Slower than Rust
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**Why slower:**
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- **Custom BigInt** - Manual implementation vs optimized library
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- **Newer compiler** - Fewer optimizations than Rust
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- **More memory** - Overhead in standard library
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- **Less mature** - Younger language (2016 vs 2015)
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- **Manual memory** - More allocations than needed
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**Implementation:**
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```zig
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// Custom BigInt implementation
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const BigInt = struct {
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digits: []u32,
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len: usize,
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// Manual add, sub, mul, div operations
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}
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```
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- Uses Machin's formula with custom BigInt
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- More operations per calculation
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- Less optimized than Rust's `num-bigint`
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#### 9. C++ (23 ms, 1.5 MB) - Fast
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**Why fast:**
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- **Mature compiler** - LLVM/GCC with aggressive optimizations
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- **Template metaprogramming** - Compile-time optimizations
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- **STL optimizations** - Highly optimized standard library
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- **Manual memory** - No garbage collection overhead
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- **Inline functions** - Zero-overhead abstractions
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**Implementation:**
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- Uses custom BigInt or boost::multiprecision
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- Machin's formula with optimized operations
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- Minimal overhead (1.5 MB)
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#### 10. Go (24 ms, 3.9 MB) - Moderate
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**Why moderate:**
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- **Runtime overhead** - Garbage collector, goroutines
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- **Larger binary** - Runtime included in binary
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- **Safety checks** - Bounds checking, GC overhead
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- **Not as optimized** - Younger than C/C++
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- **Good balance** - Performance + safety + concurrency
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**Implementation:**
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- Uses `math/big` package for BigInt
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- Machin's formula with GC overhead
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- Runtime included (3.9 MB)
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### Middle Performers (Rank 11-20)
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#### 11. C (25 ms, 1.7 MB) - Fast
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**Why fast:**
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- **Mature compiler** - Decades of optimization
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- **Direct compilation** - No runtime overhead
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- **Manual memory** - Precise control over allocations
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- **Optimized libraries** - GMP library for BigInt
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- **Low-level access** - Direct hardware control
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**Implementation:**
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- Uses GMP library for arbitrary precision
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- Machin's formula with optimized arithmetic
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- Minimal runtime (1.7 MB)
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#### 12. D (30 ms, 2.5 MB) - Moderate
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**Why moderate:**
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- **GC overhead** - Garbage collector included
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- **Runtime** - D runtime library
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- **Good optimization** - LLVM/GCC backend
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- **Multiple backends** - Can compile to C or native
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- **Balance** - Performance + safety
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**Implementation:**
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- Uses std.bigint for arbitrary precision
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- Machin's formula with GC overhead
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- Runtime included (2.5 MB)
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#### 13. Bash (30 ms, 2.1 MB) - Moderate
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**Why moderate:**
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- **Shell overhead** - Process creation, pipes
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- **External commands** - Uses `bc` for calculations
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- **Interpretation** - Line-by-line execution
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- **Process spawning** - Each command is a new process
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- **Good for scripting** - Not designed for computation
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**Implementation:**
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- Uses `bc` command for arbitrary precision
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- Machin's formula with shell overhead
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- Process spawning overhead (2.1 MB)
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#### 14. Fortran (31 ms, 1.8 MB) - Moderate
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**Why moderate:**
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- **Array operations** - Optimized for numerical computing
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- **Mature compiler** - Decades of optimization
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- **No GC** - Manual memory management
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- **Scientific focus** - Designed for numerical work
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- **Good optimization** - LLVM/GCC backend
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**Implementation:**
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- Uses intrinsic functions for precision
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- Machin's formula with numerical optimizations
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- Minimal overhead (1.8 MB)
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#### 15. Crystal (32 ms, 3.2 MB) - Moderate
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**Why moderate:**
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- **Ruby-like syntax** - Compiles to machine code
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- **GC overhead** - Garbage collector included
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- **Runtime** - Small runtime library
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- **Type inference** - Compile-time type checking
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- **Good performance** - Near-C speed
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**Implementation:**
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- Uses built-in BigInt support
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- Machin's formula with GC overhead
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- Runtime included (3.2 MB)
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#### 16. Dart (34 ms, 14.5 MB) - Moderate
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**Why moderate:**
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- **VM overhead** - Dart virtual machine
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- **JIT compilation** - Compiles to machine code
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- **GC overhead** - Garbage collector
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- **Moderate runtime** - Smaller than JVM
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- **Good optimization** - Designed for web/mobile
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**Implementation:**
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- Uses `dart:math` for precision
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- Machin's formula with VM overhead
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- Moderate runtime (14.5 MB)
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#### 17. Haskell (40 ms, 11.9 MB) - Moderate
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**Why moderate:**
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- **Lazy evaluation** - Only computes what's needed
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- **GC overhead** - Garbage collector
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- **Functional overhead** - Immutability, pattern matching
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- **Runtime** - GHC runtime system
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- **Good optimization** - LLVM backend
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**Implementation:**
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- Uses `Integer` type for precision
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- Machin's formula with lazy evaluation
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- Moderate runtime (11.9 MB)
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#### 18. Java (46 ms, 43.1 MB) - Moderate
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**Why moderate:**
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- **JVM startup** - Virtual machine initialization
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- **JIT compilation** - Compiles bytecode to machine code
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- **Large runtime** - JVM includes extensive libraries
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- **GC overhead** - Garbage collector
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- **Good optimization** - HotSpot JIT is mature
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**Implementation:**
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- Uses `BigInteger` class for precision
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- Machin's formula with JVM overhead
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- Large runtime (43.1 MB)
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#### 19. Python (47 ms, 9.7 MB) - Moderate
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**Why moderate:**
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- **Interpretation** - Bytecode execution
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- **Dynamic typing** - Runtime type checking
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- **GIL** - Global Interpreter Lock
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- **Large runtime** - Comprehensive standard library
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- **Good optimization** - CPython is well-optimized
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**Implementation:**
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- Uses `decimal` module for precision
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- Machin's formula with interpretation overhead
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- Moderate runtime (9.7 MB)
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#### 20. Perl (47 ms, 12.5 MB) - Moderate
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**Why moderate:**
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- **Interpretation overhead** - Line-by-line execution
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- **Dynamic typing** - Type checking at runtime
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- **Large runtime** - Comprehensive standard library
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- **Regex engine** - Powerful but overhead
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- **Mature** - Years of optimization
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**Implementation:**
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- Uses `Math::BigInt` module
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- Machin's formula with interpretation overhead
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- Large runtime (12.5 MB)
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### Lower Performers (Rank 21-32)
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#### 21. Brainfuck (50 ms, 9.3 MB) - Moderate
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**Why moderate:**
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- **Minimal language** - Only 8 instructions
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- **Interpreter overhead** - Must interpret each instruction
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- **Simple operations** - No complex operations
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- **Small runtime** - Minimal interpreter
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- **Educational** - Not designed for performance
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**Implementation:**
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- Uses custom BigInt implementation
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- Machin's formula with interpretation overhead
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- Moderate runtime (9.3 MB)
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#### 22. Kotlin (60 ms, 45.2 MB) - Moderate
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**Why moderate:**
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- **JVM overhead** - Same as Java
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- **Kotlin runtime** - Additional Kotlin libraries
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- **JIT compilation** - Compiles to JVM bytecode
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- **GC overhead** - Garbage collector
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- **Good optimization** - Leverages JVM optimizations
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**Implementation:**
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- Uses `BigInteger` from Java stdlib
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- Machin's formula with JVM + Kotlin overhead
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- Large runtime (45.2 MB)
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#### 23. C# (66 ms, 41.5 MB) - Moderate
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**Why moderate:**
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- **CLR overhead** - Common Language Runtime
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- **JIT compilation** - Compiles IL to machine code
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- **Large runtime** - .NET framework included
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- **GC overhead** - Garbage collector
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- **Good optimization** - Mature JIT compiler
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**Implementation:**
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- Uses `System.Numerics.BigInteger`
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- Machin's formula with CLR overhead
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- Large runtime (41.5 MB)
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#### 24. PHP (68 ms, 26.5 MB) - Moderate
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**Why moderate:**
|
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- **Interpretation** - Bytecode execution
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- **Dynamic typing** - Runtime type checking
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- **Large runtime** - Web-focused standard library
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- **GC overhead** - Garbage collector
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- **Good for web** - Not designed for computation
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**Implementation:**
|
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- Uses `bcmath` extension for precision
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- Machin's formula with interpretation overhead
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- Large runtime (26.5 MB)
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#### 25. Ruby (79 ms, 28.8 MB) - Slower
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**Why slower:**
|
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- **Interpretation** - Bytecode execution
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- **Dynamic typing** - Runtime type checking
|
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- **Large runtime** - Object-oriented overhead
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- **GC overhead** - Garbage collector
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- **Less optimized** - Slower than Python
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|
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**Implementation:**
|
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- Uses `BigDecimal` library
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- Machin's formula with interpretation overhead
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- Large runtime (28.8 MB)
|
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#### 26. JavaScript (89 ms, 44.8 MB) - Moderate
|
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**Why moderate:**
|
||||
- **JIT compilation** - V8 engine compiles to machine code
|
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- **Dynamic typing** - Runtime type checking
|
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- **Large runtime** - JavaScript engine overhead
|
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- **GC overhead** - Garbage collector
|
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- **Good optimization** - V8 is highly optimized
|
||||
|
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**Implementation:**
|
||||
- Uses `BigInt` for arbitrary precision
|
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- Machin's formula with JIT overhead
|
||||
- Large runtime (44.8 MB)
|
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|
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#### 27. Julia (157 ms, 235.9 MB) - Moderate
|
||||
**Why moderate:**
|
||||
- **JIT compilation** - Compiles to machine code
|
||||
- **Large runtime** - Scientific libraries included
|
||||
- **Dynamic typing** - Runtime type checking
|
||||
- **GC overhead** - Garbage collector
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- **Designed for science** - Optimized for numerical work
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|
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**Implementation:**
|
||||
- Uses `BigFloat` for precision
|
||||
- Machin's formula with JIT overhead
|
||||
- Very large runtime (235.9 MB)
|
||||
|
||||
#### 28. R (163 ms, 90.9 MB) - Moderate
|
||||
**Why moderate:**
|
||||
- **Interpretation** - R interpreter
|
||||
- **Dynamic typing** - Runtime type checking
|
||||
- **Large runtime** - Statistical libraries included
|
||||
- **GC overhead** - Garbage collector
|
||||
- **Designed for stats** - Not optimized for general computation
|
||||
|
||||
**Implementation:**
|
||||
- Uses `Rmpfr` package for precision
|
||||
- Machin's formula with interpretation overhead
|
||||
- Large runtime (90.9 MB)
|
||||
|
||||
#### 29. Erlang (176 ms, 77.4 MB) - Moderate
|
||||
**Why moderate:**
|
||||
- **BEAM VM** - Erlang virtual machine
|
||||
- **Functional overhead** - Immutability, pattern matching
|
||||
- **Concurrency focus** - Designed for distributed systems
|
||||
- **Large runtime** - BEAM VM included
|
||||
- **Not optimized for math** - Designed for reliability
|
||||
|
||||
**Implementation:**
|
||||
- Uses `Integer` module for precision
|
||||
- Machin's formula with BEAM overhead
|
||||
- Large runtime (77.4 MB)
|
||||
|
||||
#### 30. Scala (344 ms, 55.5 MB) - Slow
|
||||
**Why slow:**
|
||||
- **JVM overhead** - Same as Java
|
||||
- **Scala runtime** - Large standard library
|
||||
- **Functional overhead** - Immutability, pattern matching
|
||||
- **Complex compilation** - Advanced type system
|
||||
- **Less optimized** - More overhead than Java
|
||||
|
||||
**Implementation:**
|
||||
- Uses `BigInt` from Scala library
|
||||
- Machin's formula with functional overhead
|
||||
- Very large runtime (55.5 MB)
|
||||
|
||||
#### 31. Elixir (401 ms, 89.2 MB) - Slow
|
||||
**Why slow:**
|
||||
- **BEAM VM** - Erlang virtual machine
|
||||
- **Functional overhead** - Immutability, pattern matching
|
||||
- **Concurrency focus** - Designed for distributed systems
|
||||
- **Large runtime** - BEAM VM + Elixir libraries
|
||||
- **Not optimized for math** - Designed for reliability
|
||||
|
||||
**Implementation:**
|
||||
- Uses `Integer` module for precision
|
||||
- Machin's formula with BEAM overhead
|
||||
- Very large runtime (89.2 MB)
|
||||
|
||||
#### 32. TypeScript (931 ms, 218.9 MB) - Slowest
|
||||
**Why slow:**
|
||||
- **TypeScript compiler** - Extra compilation step
|
||||
- **JavaScript runtime** - V8 engine overhead
|
||||
- **Large runtime** - TypeScript + JavaScript libraries
|
||||
- **Dynamic typing** - Runtime type checking
|
||||
- **Not optimized** - Designed for web development
|
||||
|
||||
**Implementation:**
|
||||
- Uses `BigInt` for precision
|
||||
- Machin's formula with TypeScript + JS overhead
|
||||
- Very large runtime (218.9 MB)
|
||||
|
||||
## Languages Tested
|
||||
|
||||
**Compiled (10):** Assembly, C, C++, Rust, Go, Nim, Odin, Fortran, Swift, Crystal
|
||||
|
||||
Reference in New Issue
Block a user