feat(dart): add bfloat16 and bfloat16_array support

[miantalha45]

Description

This PR introduces the bfloat16 and bfloat16_array primitives to the Fory Dart runtime, fulfilling the requirement for a memory-efficient brain floating-point formulation commonly used in ML/AI workflows. It strictly mirrors the structural implementations of the existing float16 work.

Fixes #3287

Changes Made

1. Dart Runtime Type Definitions:

   • Introduced BFloat16 as a strongly-typed subclass of the FixedNum base class, safely wrapping the 16-bit integer representing the representation bits without exposing raw uint16 in public math APIs.
   • Implemented BFloat16Array as a packed contiguous array collection optimally backed by Uint16List.

2. IEEE 754 Conversions:

   • Implemented BFloat16.fromFloat32 and toFloat32() doing bitwise round-to-nearest and ties-to-even operations over proxy memory layers (Float32List / Uint32List.view) mapped exactly to cross-language canonical IEEE 754 bfloat16 bit representations.
   • Exposed explicit scalar getters (value, toBits(), fromBits()).

3. Reflection & Serialization Integration:

   • Registered _BFloat16SerializerCache inside primitive_type_serializer.dart directly wiring to BFloat16Serializer.
   • Populated the BFloat16 serialization route inside the typeToTypeInfo registry in serializer_pool.dart.
   • Exported the new datatypes in the main fory.dart barrel file.

4. Testing:

   • Added rigorous tests targeting scalar numeric conversions (validating mappings like 0x3f80 == 1.0).
   • Covered object equality, hashcode matching, and BFloat16Array dynamic generic injections handling List<dynamic> scaling natively.

Type of change

• New feature (non-breaking change which adds functionality)
• Bug fix (non-breaking change which fixes an issue)
• Performance optimization
• Documentation update

Checklist:

• I have performed a self-review of my own code
• I have added standard ASF license headers and Dartdoc comments (///)
• I have added necessary unit tests confirming the bitwise boundaries
• Existing and new tests pass locally (dart test)

AI Assistance Checklist

• Substantial AI assistance was used in this PR (yes)
• I included the standardized AI Usage Disclosure block below
• I can explain and defend all important changes without AI help
• I reviewed AI-assisted code changes line by line before submission
• I ran adequate human verification and recorded evidence (local/CI checks, pass/fail summary, and review confirmation)
• I added/updated tests and specs where required
• I validated protocol/performance impacts with evidence when applicable
• I verified licensing and provenance compliance

AI Usage Disclosure

• substantial_ai_assistance: yes
• scope: <design drafting | code drafting>