v4.0.0

This is a packed redesign! Let's start with what's cool about it and later cover the mechanics.

1. Extends dot products covering the entire matrix:
   • all IEEE 754 floating-point formats (f16, f32, f64)
   • real, complex, complex-conjugate dot-products
   • Arm NEON & SVE, x86 Haswell, Skylake, Ice Lake, Sapphire Rapids
2. Add support for complex32 Python type ... that:
   • NumPy doesn't support,
   • but CuPy wants.

SimSIMD is now the fastest and most popular library for computing half-precision products/similarities for Fourier Series and other complex data 🥳

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What breaks:

• Return types are now 64-bit floats, up from 32.
• Inner products are now defined as AB, instead of 1 - AB for broader applicability.