Squashed 'vendor/ruvector/' content from commit b64c2172

git-subtree-dir: vendor/ruvector
git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900

crates/ruvector-dag/src/attention/mod.rs

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+//! DAG Attention Mechanisms
+//!
+//! This module provides graph-topology-aware attention mechanisms for DAG-based
+//! query optimization. Unlike traditional neural attention, these mechanisms
+//! leverage the structural properties of the DAG (topology, paths, cuts) to
+//! compute attention scores.
+
+// Team 2 (Agent #2) - Base attention mechanisms
+mod causal_cone;
+mod critical_path;
+mod mincut_gated;
+mod topological;
+mod traits;
+
+// Team 2 (Agent #3) - Advanced attention mechanisms
+mod cache;
+mod hierarchical_lorentz;
+mod parallel_branch;
+mod selector;
+mod temporal_btsp;
+mod trait_def;
+
+// Export base mechanisms
+pub use causal_cone::{CausalConeAttention, CausalConeConfig};
+pub use critical_path::{CriticalPathAttention, CriticalPathConfig};
+pub use mincut_gated::{FlowCapacity, MinCutConfig, MinCutGatedAttention};
+pub use topological::{TopologicalAttention, TopologicalConfig};
+pub use traits::{AttentionConfig, AttentionError, AttentionScores, DagAttention};
+
+// Export advanced mechanisms
+pub use cache::{AttentionCache, CacheConfig, CacheStats};
+pub use hierarchical_lorentz::{HierarchicalLorentzAttention, HierarchicalLorentzConfig};
+pub use parallel_branch::{ParallelBranchAttention, ParallelBranchConfig};
+pub use selector::{AttentionSelector, MechanismStats, SelectorConfig};
+pub use temporal_btsp::{TemporalBTSPAttention, TemporalBTSPConfig};
+pub use trait_def::{
+    AttentionError as AttentionErrorV2, AttentionScores as AttentionScoresV2, DagAttentionMechanism,
+};