d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
73 lines
1.5 KiB
TOML
73 lines
1.5 KiB
TOML
# Standalone workspace for isolated compilation
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[workspace]
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[package]
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name = "demand-paged-cognition"
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version = "0.1.0"
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edition = "2021"
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authors = ["DPNC Research Team"]
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description = "Memory-mapped neural fields for petabyte-scale cognition"
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license = "MIT"
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keywords = ["neural-networks", "memory-mapping", "tiered-storage", "machine-learning", "ai"]
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categories = ["science", "memory-management", "machine-learning"]
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[dependencies]
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# Memory mapping
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memmap2 = "0.9"
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# Async I/O (for future prefetch optimization)
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tokio = { version = "1.35", features = ["full"], optional = true }
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# Serialization (for checkpointing)
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serde = { version = "1.0", features = ["derive"], optional = true }
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bincode = { version = "1.3", optional = true }
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# Metrics
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metrics = { version = "0.21", optional = true }
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[dev-dependencies]
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tempfile = "3.8"
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criterion = "0.5"
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[features]
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default = []
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async = ["tokio"]
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serialization = ["serde", "bincode"]
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metrics = ["dep:metrics"]
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full = ["async", "serialization", "metrics"]
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[[bench]]
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name = "neural_field_bench"
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harness = false
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[[bench]]
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name = "prefetch_bench"
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harness = false
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[profile.release]
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opt-level = 3
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lto = true
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codegen-units = 1
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strip = true
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[profile.bench]
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opt-level = 3
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lto = true
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codegen-units = 1
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[lib]
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name = "demand_paged_cognition"
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path = "src/lib.rs"
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[[example]]
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name = "basic_usage"
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path = "examples/basic_usage.rs"
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[[example]]
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name = "petabyte_scale"
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path = "examples/petabyte_scale.rs"
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[package.metadata.docs.rs]
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all-features = true
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rustdoc-args = ["--cfg", "docsrs"]
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