aprender 0.20.0

[[bench]]
harness = false
name = "citl"
path = "benches/citl.rs"

[[bench]]
harness = false
name = "dataframe"
path = "benches/dataframe.rs"

[[bench]]
harness = false
name = "graph"
path = "benches/graph.rs"

[[bench]]
harness = false
name = "kmeans"
path = "benches/kmeans.rs"

[[bench]]
harness = false
name = "linear_regression"
path = "benches/linear_regression.rs"

[[bench]]
harness = false
name = "recommend"
path = "benches/recommend.rs"

[dependencies.aes-gcm]
optional = true
version = "0.10"

[dependencies.alimentar]
optional = true
version = "0.2.2"

[dependencies.alsa]
optional = true
version = "0.9"

[dependencies.argon2]
default-features = false
features = ["std"]
optional = true
version = "0.5"

[dependencies.bincode]
version = "1.3"

[dependencies.dirs]
optional = true
version = "6.0"

[dependencies.ed25519-dalek]
default-features = false
features = ["std", "zeroize", "rand_core"]
optional = true
version = "2.1"

[dependencies.entrenar]
optional = true
version = "0.2.6"

[dependencies.half]
default-features = false
features = ["std"]
optional = true
version = "2.4"

[dependencies.hf-hub]
default-features = false
features = ["ureq"]
optional = true
version = "0.4"

[dependencies.hkdf]
optional = true
version = "0.12"

[dependencies.rand]
version = "0.8"

[dependencies.rand_chacha]
version = "0.3"

[dependencies.rayon]
optional = true
version = "1.10"

[dependencies.rmp-serde]
version = "1.3"

[dependencies.rustfft]
optional = true
version = "6.2"

[dependencies.safetensors]
optional = true
version = "0.4"

[dependencies.serde]
features = ["derive"]
version = "1.0"

[dependencies.serde_json]
version = "1.0"

[dependencies.sha2]
optional = true
version = "0.10"

[dependencies.thiserror]
optional = true
version = "2.0"

[dependencies.trueno]
default-features = true
version = "0.8.8"

[dependencies.x25519-dalek]
default-features = false
features = ["static_secrets"]
optional = true
version = "2.0"

[dependencies.zstd]
optional = true
version = "0.13"

[dev-dependencies.criterion]
version = "0.5"

[dev-dependencies.proptest]
version = "1.6"

[dev-dependencies.renacer]
version = "0.8"

[dev-dependencies.tempfile]
version = "3.14"

[[example]]
name = "aco_tsp"
path = "examples/aco_tsp.rs"

[[example]]
name = "admm_optimization"
path = "examples/admm_optimization.rs"

[[example]]
name = "apr_cache"
path = "examples/apr_cache.rs"

[[example]]
name = "apr_cli_commands"
path = "examples/apr_cli_commands.rs"

[[example]]
name = "apr_embed"
path = "examples/apr_embed.rs"

[[example]]
name = "apr_inspection"
path = "examples/apr_inspection.rs"

[[example]]
name = "apr_loading_modes"
path = "examples/apr_loading_modes.rs"

[[example]]
name = "apr_scoring"
path = "examples/apr_scoring.rs"

[[example]]
name = "apr_with_metadata"
path = "examples/apr_with_metadata.rs"

[[example]]
name = "automl_clustering"
path = "examples/automl_clustering.rs"

[[example]]
name = "batch_optimization"
path = "examples/batch_optimization.rs"

[[example]]
name = "bayesian_blocks_histogram"
path = "examples/bayesian_blocks_histogram.rs"

[[example]]
name = "bayesian_linear_regression"
path = "examples/bayesian_linear_regression.rs"

[[example]]
name = "bayesian_logistic_regression"
path = "examples/bayesian_logistic_regression.rs"

[[example]]
name = "beta_binomial_inference"
path = "examples/beta_binomial_inference.rs"

[[example]]
name = "boston_housing"
path = "examples/boston_housing.rs"

[[example]]
name = "bundle_trace_demo"
path = "examples/bundle_trace_demo.rs"

[[example]]
name = "classification_training"
path = "examples/classification_training.rs"

[[example]]
name = "code_analysis"
path = "examples/code_analysis.rs"

[[example]]
name = "community_detection"
path = "examples/community_detection.rs"

[[example]]
name = "constrained_optimization"
path = "examples/constrained_optimization.rs"

[[example]]
name = "convex_optimization"
path = "examples/convex_optimization.rs"

[[example]]
name = "create_test_apr"
path = "examples/create_test_apr.rs"

[[example]]
name = "cross_validation"
path = "examples/cross_validation.rs"

[[example]]
name = "cuda_backend"
path = "examples/cuda_backend.rs"

[[example]]
name = "data_preprocessing_scalers"
path = "examples/data_preprocessing_scalers.rs"

[[example]]
name = "dataframe_basics"
path = "examples/dataframe_basics.rs"

[[example]]
name = "dbscan_clustering"
path = "examples/dbscan_clustering.rs"

[[example]]
name = "decision_tree_iris"
path = "examples/decision_tree_iris.rs"

[[example]]
name = "decision_tree_regression"
path = "examples/decision_tree_regression.rs"

[[example]]
name = "descriptive_statistics"
path = "examples/descriptive_statistics.rs"

[[example]]
name = "dirichlet_multinomial_inference"
path = "examples/dirichlet_multinomial_inference.rs"

[[example]]
name = "gamma_poisson_inference"
path = "examples/gamma_poisson_inference.rs"

[[example]]
name = "gbm_iris"
path = "examples/gbm_iris.rs"

[[example]]
name = "gmm_clustering"
path = "examples/gmm_clustering.rs"

[[example]]
name = "graph_algorithms_comprehensive"
path = "examples/graph_algorithms_comprehensive.rs"

[[example]]
name = "graph_social_network"
path = "examples/graph_social_network.rs"

[[example]]
name = "grid_search_tuning"
path = "examples/grid_search_tuning.rs"

[[example]]
name = "hierarchical_clustering"
path = "examples/hierarchical_clustering.rs"

[[example]]
name = "iris_clustering"
path = "examples/iris_clustering.rs"

[[example]]
name = "isolation_forest_anomaly"
path = "examples/isolation_forest_anomaly.rs"

[[example]]
name = "knn_iris"
path = "examples/knn_iris.rs"

[[example]]
name = "lof_anomaly"
path = "examples/lof_anomaly.rs"

[[example]]
name = "logic_family_tree"
path = "examples/logic_family_tree.rs"

[[example]]
name = "logistic_regression"
path = "examples/logistic_regression.rs"

[[example]]
name = "market_basket_apriori"
path = "examples/market_basket_apriori.rs"

[[example]]
name = "metaheuristics_optimization"
path = "examples/metaheuristics_optimization.rs"

[[example]]
name = "mixture_of_experts"
path = "examples/mixture_of_experts.rs"

[[example]]
name = "model_serialization"
path = "examples/model_serialization.rs"

[[example]]
name = "model_zoo"
path = "examples/model_zoo.rs"

[[example]]
name = "naive_bayes_iris"
path = "examples/naive_bayes_iris.rs"

[[example]]
name = "negative_binomial_glm"
path = "examples/negative_binomial_glm.rs"

[[example]]
name = "neural_network_training"
path = "examples/neural_network_training.rs"

[[example]]
name = "nlp_advanced"
path = "examples/nlp_advanced.rs"

[[example]]
name = "normal_inverse_gamma_inference"
path = "examples/normal_inverse_gamma_inference.rs"

[[example]]
name = "online_learning"
path = "examples/online_learning.rs"

[[example]]
name = "optimizer_demo"
path = "examples/optimizer_demo.rs"

[[example]]
name = "pca_iris"
path = "examples/pca_iris.rs"

[[example]]
name = "pipeline_verification"
path = "examples/pipeline_verification.rs"

[[example]]
name = "poka_yoke_validation"
path = "examples/poka_yoke_validation.rs"

[[example]]
name = "predator_prey_optimization"
path = "examples/predator_prey_optimization.rs"

[[example]]
name = "qwen_chat"
path = "examples/qwen_chat.rs"

[[example]]
name = "random_forest_iris"
path = "examples/random_forest_iris.rs"

[[example]]
name = "random_forest_regression"
path = "examples/random_forest_regression.rs"

[[example]]
name = "recommend_content"
path = "examples/recommend_content.rs"

[[example]]
name = "regularized_regression"
path = "examples/regularized_regression.rs"

[[example]]
name = "shell_encryption_demo"
path = "examples/shell_encryption_demo.rs"
required-features = ["format-encryption"]

[[example]]
name = "shell_model_format"
path = "examples/shell_model_format.rs"

[[example]]
name = "sovereign_stack"
path = "examples/sovereign_stack.rs"

[[example]]
name = "spectral_clustering"
path = "examples/spectral_clustering.rs"

[[example]]
name = "svm_iris"
path = "examples/svm_iris.rs"

[[example]]
name = "synthetic_data_generation"
path = "examples/synthetic_data_generation.rs"

[[example]]
name = "tabu_tsp"
path = "examples/tabu_tsp.rs"

[[example]]
name = "text_classification"
path = "examples/text_classification.rs"

[[example]]
name = "text_preprocessing"
path = "examples/text_preprocessing.rs"

[[example]]
name = "time_series_forecasting"
path = "examples/time_series_forecasting.rs"

[[example]]
name = "topic_sentiment_analysis"
path = "examples/topic_sentiment_analysis.rs"

[[example]]
name = "trueno_compute_integration"
path = "examples/trueno_compute_integration.rs"

[[example]]
name = "tsne_visualization"
path = "examples/tsne_visualization.rs"

[[example]]
name = "whisper_transcribe"
path = "examples/whisper_transcribe.rs"

[[example]]
name = "xor_training"
path = "examples/xor_training.rs"

[features]
audio = ["rustfft", "thiserror"]
audio-alsa = ["audio-capture", "alsa"]
audio-capture = ["audio"]
audio-codec = ["audio"]
audio-playback = ["audio"]
chaos-basic = []
chaos-byzantine = ["chaos-basic"]
chaos-full = ["chaos-network", "chaos-byzantine"]
chaos-network = ["chaos-basic"]
cpu-only = []
cuda = ["trueno/cuda-monitor"]
datasets = ["alimentar"]
default = ["parallel"]
format-compression = ["zstd"]
format-encryption = ["aes-gcm", "argon2", "x25519-dalek", "hkdf", "sha2"]
format-homomorphic = []
format-quantize = ["half"]
format-signing = ["ed25519-dalek"]
gpu = ["trueno/gpu"]
hf-hub-integration = ["hf-hub", "dirs"]
inference-monitoring = ["entrenar"]
parallel = ["rayon"]
safetensors-compare = ["safetensors", "hf-hub-integration", "half"]

[lib]
name = "aprender"
path = "src/lib.rs"

[lints.clippy]
cast_possible_truncation = "allow"
cast_possible_wrap = "allow"
cast_precision_loss = "allow"
cast_sign_loss = "allow"
checked_conversions = "warn"
doc_markdown = "allow"
explicit_deref_methods = "warn"
explicit_iter_loop = "warn"
float_cmp = "allow"
implicit_clone = "warn"
inconsistent_struct_constructor = "warn"
inefficient_to_string = "warn"
items_after_statements = "allow"
large_stack_arrays = "allow"
manual_ok_or = "warn"
many_single_char_names = "allow"
missing_const_for_fn = "allow"
missing_errors_doc = "allow"
missing_panics_doc = "allow"
module_name_repetitions = "allow"
must_use_candidate = "allow"
redundant_closure_for_method_calls = "warn"
return_self_not_must_use = "allow"
similar_names = "allow"
unnested_or_patterns = "warn"
unreadable_literal = "allow"
used_underscore_binding = "warn"

[lints.clippy.all]
level = "warn"
priority = -1

[lints.clippy.pedantic]
level = "warn"
priority = -1

[lints.rust]
missing_debug_implementations = "warn"
missing_docs = "allow"
trivial_casts = "warn"
trivial_numeric_casts = "warn"
unreachable_pub = "warn"
unsafe_code = "deny"
unsafe_op_in_unsafe_fn = "warn"
unused_import_braces = "warn"
unused_lifetimes = "warn"
unused_qualifications = "warn"

[lints.rust.rust_2018_idioms]
level = "warn"
priority = -1

[package]
authors = ["Noah Gift <noah@paiml.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "algorithms"]
description = "Next-generation machine learning library in pure Rust"
documentation = "https://docs.rs/aprender"
edition = "2021"
keywords = ["machine-learning", "classification", "clustering", "statistics", "graph-algorithms"]
license = "MIT"
name = "aprender"
readme = "README.md"
repository = "https://github.com/paiml/aprender"
rust-version = "1.70"
version = "0.20.0"

[profile.release]
codegen-units = 1
debug = 2
lto = true

[target.'cfg(not(target_arch = "wasm32"))'.dependencies.memmap2]
version = "0.9"

[target.'cfg(target_arch = "wasm32")'.dependencies.getrandom]
features = ["js"]
version = "0.2"

[[test]]
name = "book"
path = "tests/book/mod.rs"

[[test]]
name = "chaos_tests"
path = "tests/chaos_tests.rs"

[[test]]
name = "github_issue_5_safetensors_tests"
path = "tests/github_issue_5_safetensors_tests.rs"

[[test]]
name = "github_issue_8_elasticnet_safetensors_tests"
path = "tests/github_issue_8_elasticnet_safetensors_tests.rs"

[[test]]
name = "github_issue_8_forest_safetensors_tests"
path = "tests/github_issue_8_forest_safetensors_tests.rs"

[[test]]
name = "github_issue_8_kmeans_safetensors_tests"
path = "tests/github_issue_8_kmeans_safetensors_tests.rs"

[[test]]
name = "github_issue_8_lasso_safetensors_tests"
path = "tests/github_issue_8_lasso_safetensors_tests.rs"

[[test]]
name = "github_issue_8_ridge_safetensors_tests"
path = "tests/github_issue_8_ridge_safetensors_tests.rs"

[[test]]
name = "github_issue_8_scaler_safetensors_tests"
path = "tests/github_issue_8_scaler_safetensors_tests.rs"

[[test]]
name = "github_issue_8_tree_safetensors_tests"
path = "tests/github_issue_8_tree_safetensors_tests.rs"

[[test]]
name = "integration"
path = "tests/integration.rs"

[[test]]
name = "property_tests"
path = "tests/property_tests.rs"

[[test]]
name = "synthetic_integration_tests"
path = "tests/synthetic_integration_tests.rs"

[[test]]
name = "verify_audio_checklist"
path = "tests/verify_audio_checklist.rs"