autodj 0.5.3

Automatic Differentiation Library
Documentation 
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[dependencies.no-std-compat]
default-features = false
features = ["alloc"]
version = "0.4.1"

[dependencies.num-traits]
default-features = false
features = ["libm"]
version = "0.2.18"

[dependencies.uuid]
default-features = false
features = ["v4"]
optional = true
version = "1.7.0"

[dev-dependencies.autodiff]
version = "0.7.0"

[dev-dependencies.nalgebra]
version = "0.32.4"

[[example]]
name = "pendulum_sparse"
required-features = ["uuid"]

[features]
default = ["std", "uuid"]
sparse = ["no-std-compat/compat_hash"]
std = ["num-traits/std", "uuid?/std", "no-std-compat/std"]
uuid = ["sparse", "dep:uuid"]

[lints.clippy]
allow_attributes_without_reason = "warn"
as_conversions = "warn"
cargo = "warn"
cast_lossless = "warn"
clone_on_ref_ptr = "warn"
complexity = "warn"
dbg_macro = "warn"
default_numeric_fallback = "warn"
disallowed_methods = "warn"
exhaustive_enums = "warn"
expect_used = "warn"
fallible_impl_from = "warn"
float_cmp_const = "warn"
get_unwrap = "warn"
if_then_some_else_none = "warn"
impl_trait_in_params = "warn"
indexing_slicing = "warn"
lossy_float_literal = "warn"
map_unwrap_or = "warn"
missing_docs_in_private_items = "warn"
pedantic = "warn"
perf = "warn"
redundant_pub_crate = "warn"
style = "warn"
suspicious = "warn"
trivially_copy_pass_by_ref = "warn"
type_repetition_in_bounds = "warn"
unnecessary_safety_comment = "warn"
unwrap_in_result = "warn"
unwrap_used = "warn"

[lints.rust]
exported_private_dependencies = "warn"
missing_docs = "warn"
private_bounds = "warn"
private_interfaces = "warn"
pub_use_of_private_extern_crate = "warn"
unreachable_pub = "warn"
unused = "warn"
unused_import_braces = "warn"
unused_lifetimes = "warn"
unused_qualifications = "warn"
unused_results = "warn"

[lints.rustdoc]
all = "warn"
missing_crate_level_docs = "warn"
private_doc_tests = "warn"
private_intra_doc_links = "warn"

[package]
authors = ["Maksim Elizarev <maxim.elizarev.research@gmail.com>", "https://djmaxus.github.io/"]
categories = ["mathematics", "science", "simulation"]
description = "Automatic Differentiation Library"
edition = "2021"
keywords = ["automatic", "derivative", "jacobian", "dual-number", "comp-math"]
license = "MIT OR Apache-2.0"
name = "autodj"
readme = "README.md"
repository = "https://github.com/djmaxus/autodj"
version = "0.5.3"

[package.metadata.docs.rs]
features = ["std", "uuid"]