forked from M-Labs/nalgebra
Add nalgebra/macros feature and re-export matrix macros from nalgebra
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@ -22,7 +22,7 @@ name = "nalgebra"
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path = "src/lib.rs"
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path = "src/lib.rs"
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[features]
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[features]
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default = [ "std" ]
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default = [ "std", "macros" ]
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std = [ "matrixmultiply", "simba/std" ]
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std = [ "matrixmultiply", "simba/std" ]
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sparse = [ ]
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sparse = [ ]
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debug = [ "approx/num-complex", "rand" ]
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debug = [ "approx/num-complex", "rand" ]
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@ -32,6 +32,7 @@ compare = [ "matrixcompare-core" ]
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libm = [ "simba/libm" ]
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libm = [ "simba/libm" ]
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libm-force = [ "simba/libm_force" ]
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libm-force = [ "simba/libm_force" ]
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no_unsound_assume_init = [ ]
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no_unsound_assume_init = [ ]
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macros = [ "nalgebra-macros" ]
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# Conversion
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# Conversion
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convert-mint = [ "mint" ]
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convert-mint = [ "mint" ]
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@ -60,6 +61,7 @@ proptest-support = [ "proptest" ]
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slow-tests = []
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slow-tests = []
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[dependencies]
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[dependencies]
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nalgebra-macros = { version = "0.1", path = "nalgebra-macros", optional = true }
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typenum = "1.12"
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typenum = "1.12"
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rand-package = { package = "rand", version = "0.8", optional = true, default-features = false }
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rand-package = { package = "rand", version = "0.8", optional = true, default-features = false }
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num-traits = { version = "0.2", default-features = false }
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num-traits = { version = "0.2", default-features = false }
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@ -136,6 +136,9 @@ pub use crate::sparse::*;
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)]
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)]
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pub use base as core;
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pub use base as core;
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#[cfg(feature = "macros")]
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pub use nalgebra_macros::{dmatrix, dvector, matrix, vector};
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use simba::scalar::SupersetOf;
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use simba::scalar::SupersetOf;
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use std::cmp::{self, Ordering, PartialOrd};
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use std::cmp::{self, Ordering, PartialOrd};
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