forked from M-Labs/nalgebra
Merge pull request #976 from saona-raimundo/dev
Implement conversion methods for RowDVector
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commit
80c7064bf4
42
CHANGELOG.md
42
CHANGELOG.md
@ -4,6 +4,12 @@ documented here.
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This project adheres to [Semantic Versioning](https://semver.org/).
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This project adheres to [Semantic Versioning](https://semver.org/).
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## [0.29.1] - WIP
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### Added
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- The conversion trait `From<Vec<T>>` and method `from_vec_storage` for `RowDVector`. See [#975](https://github.com/dimforge/nalgebra/issues/975)
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## [0.29.0]
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## [0.29.0]
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### Breaking changes
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### Breaking changes
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- We updated to the version 0.6 of `simba`. This means that the trait bounds `T: na::RealField`, `na::ComplexField`,
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- We updated to the version 0.6 of `simba`. This means that the trait bounds `T: na::RealField`, `na::ComplexField`,
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@ -242,7 +248,7 @@ for details about this switch and its benefits.
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geometric types.
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geometric types.
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### Modified
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### Modified
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* Use of traits like `alga::general::{RealField, ComplexField}` have now been replaced by
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* Use of traits like `alga::general::{RealField, ComplexField}` have now been replaced by
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`simba::scalar::{RealField, ComplexField}`.
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`simba::scalar::{RealField, ComplexField}`.
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* The implementation of traits from the __alga__ crate (and well as the dependency to _alga__) are now
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* The implementation of traits from the __alga__ crate (and well as the dependency to _alga__) are now
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omitted unless the `alga` cargo feature is activated.
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omitted unless the `alga` cargo feature is activated.
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### Removed
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### Removed
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@ -264,16 +270,16 @@ for details about this switch and its benefits.
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### Added
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### Added
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* `.remove_rows_at` and `remove_columns_at` which removes a set of rows or columns (specified by indices) from a matrix.
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* `.remove_rows_at` and `remove_columns_at` which removes a set of rows or columns (specified by indices) from a matrix.
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* Several formatting traits have been implemented for all matrices/vectors: `LowerExp`, `UpperExp`, `Octal`, `LowerHex`,
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* Several formatting traits have been implemented for all matrices/vectors: `LowerExp`, `UpperExp`, `Octal`, `LowerHex`,
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`UpperHex`, `Binary`, `Pointer`.
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`UpperHex`, `Binary`, `Pointer`.
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* `UnitQuaternion::quaternions_mean(...)` which computes the mean rotation of a set of unit quaternions. This implements
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* `UnitQuaternion::quaternions_mean(...)` which computes the mean rotation of a set of unit quaternions. This implements
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the algorithm from _Oshman, Yaakov, and Avishy Carmi, "Attitude estimation from vector observations using a genetic-algorithm-embedded quaternion particle filter."
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the algorithm from _Oshman, Yaakov, and Avishy Carmi, "Attitude estimation from vector observations using a genetic-algorithm-embedded quaternion particle filter."
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### Modified
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### Modified
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* It is now possible to get the `min/max` element of unsigned integer matrices.
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* It is now possible to get the `min/max` element of unsigned integer matrices.
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### Added to nalgebra-glm
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### Added to nalgebra-glm
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* Some infinite and reversed perspectives: `::infinite_perspective_rh_no`, `::infinite_perspective_rh_zo`,
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* Some infinite and reversed perspectives: `::infinite_perspective_rh_no`, `::infinite_perspective_rh_zo`,
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`::reversed_perspective_rh_zo`, and `::reversed_infinite_perspective_rh_zo`.
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`::reversed_perspective_rh_zo`, and `::reversed_infinite_perspective_rh_zo`.
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## [0.18.0]
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## [0.18.0]
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This release adds full complex number support to nalgebra. This includes all common vector/matrix operations as well
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This release adds full complex number support to nalgebra. This includes all common vector/matrix operations as well
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@ -329,22 +335,22 @@ Note that all the other BLAS operation will continue to work for all fields, inc
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* Add `.slerp` and `.try_slerp` to unit vectors.
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* Add `.slerp` and `.try_slerp` to unit vectors.
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* Add `.lerp` to vectors.
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* Add `.lerp` to vectors.
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* Add `.to_projective` and `.as_projective` to `Perspective3` and `Orthographic3` in order to
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* Add `.to_projective` and `.as_projective` to `Perspective3` and `Orthographic3` in order to
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use them as `Projective3` structures.
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use them as `Projective3` structures.
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* Add `From/Into` impls to allow the conversion of any transformation type to a matrix.
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* Add `From/Into` impls to allow the conversion of any transformation type to a matrix.
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* Add `Into` impls to convert a matrix slice into an owned matrix.
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* Add `Into` impls to convert a matrix slice into an owned matrix.
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* Add `Point*::from_slice` to create a point from a slice.
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* Add `Point*::from_slice` to create a point from a slice.
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* Add `.map_with_location` to matrices to apply a map which passes the component indices to the user-defined closure alongside
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* Add `.map_with_location` to matrices to apply a map which passes the component indices to the user-defined closure alongside
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the component itself.
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the component itself.
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* Add impl `From<Vector>` for `Point`.
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* Add impl `From<Vector>` for `Point`.
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* Add impl `From<Vector4>` for `Quaternion`.
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* Add impl `From<Vector4>` for `Quaternion`.
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* Add impl `From<Vector>` for `Translation`.
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* Add impl `From<Vector>` for `Translation`.
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* Add the `::from_vec` constructor to construct a matrix from a `Vec` (a `DMatrix` will reuse the original `Vec`
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* Add the `::from_vec` constructor to construct a matrix from a `Vec` (a `DMatrix` will reuse the original `Vec`
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as-is for its storage).
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as-is for its storage).
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* Add `.to_homogeneous` to square matrices (and with dimensions higher than 1x1). This will increase their number of row
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* Add `.to_homogeneous` to square matrices (and with dimensions higher than 1x1). This will increase their number of row
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and columns by 1. The new column and row are filled with 0, except for the diagonal element which is set to 1.
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and columns by 1. The new column and row are filled with 0, except for the diagonal element which is set to 1.
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* Implement `Extend<Vec>` for matrices with a dynamic storage. The provided `Vec` is assumed to represent a column-major
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* Implement `Extend<Vec>` for matrices with a dynamic storage. The provided `Vec` is assumed to represent a column-major
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matrix with the same number of rows as the one being extended. This will effectively append new columns on the right of
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matrix with the same number of rows as the one being extended. This will effectively append new columns on the right of
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the matrix being extended.
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the matrix being extended.
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* Implement `Extend<Vec>` for vectors with a dynamic storage. This will concatenate the vector with the given `Vec`.
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* Implement `Extend<Vec>` for vectors with a dynamic storage. This will concatenate the vector with the given `Vec`.
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* Implement `Extend<Matrix<...>>` for matrices with dynamic storage. This will concatenate the columns of both matrices.
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* Implement `Extend<Matrix<...>>` for matrices with dynamic storage. This will concatenate the columns of both matrices.
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* Implement `Into<Vec>` for the `MatrixVec` storage.
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* Implement `Into<Vec>` for the `MatrixVec` storage.
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@ -353,10 +359,10 @@ Note that all the other BLAS operation will continue to work for all fields, inc
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### Modified
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### Modified
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* The orthographic projection no longer require that `bottom < top`, that `left < right`, and that `znear < zfar`. The
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* The orthographic projection no longer require that `bottom < top`, that `left < right`, and that `znear < zfar`. The
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only restriction now ith that they must not be equal (in which case the projection would be singular).
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only restriction now ith that they must not be equal (in which case the projection would be singular).
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* The `Point::from_coordinates` methods is deprecated. Use `Point::from` instead.
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* The `Point::from_coordinates` methods is deprecated. Use `Point::from` instead.
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* The `.transform_point` and `.transform_vector` methods are now inherent methods for matrices so that the user does not have to
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* The `.transform_point` and `.transform_vector` methods are now inherent methods for matrices so that the user does not have to
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explicitly import the `Transform` trait from the alga crate.
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explicitly import the `Transform` trait from the alga crate.
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* Renamed the matrix storage types: `MatrixArray` -> `ArrayStorage` and `MatrixVec` -> `VecStorage`.
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* Renamed the matrix storage types: `MatrixArray` -> `ArrayStorage` and `MatrixVec` -> `VecStorage`.
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* Renamed `.unwrap()` to `.into_inner()` for geometric types that wrap another type.
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* Renamed `.unwrap()` to `.into_inner()` for geometric types that wrap another type.
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This is for the case of `Unit`, `Transform`, `Orthographic3`, `Perspective3`, `Rotation`.
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This is for the case of `Unit`, `Transform`, `Orthographic3`, `Perspective3`, `Rotation`.
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@ -552,8 +558,8 @@ overview of all the added/modified features.
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This version is a major rewrite of the library. Major changes are:
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This version is a major rewrite of the library. Major changes are:
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* Algebraic traits are now defined by the [alga](https://crates.io/crates/alga) crate.
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* Algebraic traits are now defined by the [alga](https://crates.io/crates/alga) crate.
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All other mathematical traits, except `Axpy` have been removed from
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All other mathematical traits, except `Axpy` have been removed from
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**nalgebra**.
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**nalgebra**.
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* Methods are now preferred to free functions because they do not require any
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* Methods are now preferred to free functions because they do not require any
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trait to be used anymore.
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trait to be used anymore.
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* Most algebraic entities can be parametrized by type-level integers
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* Most algebraic entities can be parametrized by type-level integers
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@ -746,11 +752,11 @@ you [there](https://users.nphysics.org)!
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### Modified
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### Modified
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* Vectors are now multipliable with isometries. This will result into a pure rotation (this is how
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* Vectors are now multipliable with isometries. This will result into a pure rotation (this is how
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vectors differ from point semantically: they design directions, so they are not translatable).
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vectors differ from point semantically: they design directions, so they are not translatable).
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* `{Isometry3, Rotation3}::look_at` reimplemented and renamed to `::look_at_rh` and `::look_at_lh` to agree
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* `{Isometry3, Rotation3}::look_at` reimplemented and renamed to `::look_at_rh` and `::look_at_lh` to agree
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with the computer graphics community (in particular, the GLM library). Use the `::look_at_rh`
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with the computer graphics community (in particular, the GLM library). Use the `::look_at_rh`
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variant to build a view matrix that
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variant to build a view matrix that
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may be successfully used with `Persp` and `Ortho`.
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may be successfully used with `Persp` and `Ortho`.
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* The old `{Isometry3, Rotation3}::look_at` implementations are now called `::new_observer_frame`.
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* The old `{Isometry3, Rotation3}::look_at` implementations are now called `::new_observer_frame`.
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* Rename every `fov` on `Persp` to `fovy`.
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* Rename every `fov` on `Persp` to `fovy`.
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* Fixed the perspective and orthographic projection matrices.
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* Fixed the perspective and orthographic projection matrices.
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@ -20,7 +20,7 @@ use crate::base::{
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MatrixSliceMut, OMatrix, Scalar,
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MatrixSliceMut, OMatrix, Scalar,
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};
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};
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#[cfg(any(feature = "std", feature = "alloc"))]
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#[cfg(any(feature = "std", feature = "alloc"))]
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use crate::base::{DVector, VecStorage};
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use crate::base::{DVector, RowDVector, VecStorage};
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use crate::base::{SliceStorage, SliceStorageMut};
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use crate::base::{SliceStorage, SliceStorageMut};
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use crate::constraint::DimEq;
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use crate::constraint::DimEq;
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use crate::{IsNotStaticOne, RowSVector, SMatrix, SVector};
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use crate::{IsNotStaticOne, RowSVector, SMatrix, SVector};
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@ -453,6 +453,14 @@ impl<'a, T: Scalar> From<Vec<T>> for DVector<T> {
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}
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}
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}
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}
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#[cfg(any(feature = "std", feature = "alloc"))]
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impl<'a, T: Scalar> From<Vec<T>> for RowDVector<T> {
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#[inline]
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fn from(vec: Vec<T>) -> Self {
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Self::from_vec(vec)
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}
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}
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impl<'a, T: Scalar + Copy, R: Dim, C: Dim, S: RawStorage<T, R, C> + IsContiguous>
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impl<'a, T: Scalar + Copy, R: Dim, C: Dim, S: RawStorage<T, R, C> + IsContiguous>
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From<&'a Matrix<T, R, C, S>> for &'a [T]
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From<&'a Matrix<T, R, C, S>> for &'a [T]
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{
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{
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@ -32,7 +32,7 @@ use crate::{ArrayStorage, SMatrix, SimdComplexField, Storage, UninitMatrix};
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use crate::storage::IsContiguous;
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use crate::storage::IsContiguous;
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use crate::uninit::{Init, InitStatus, Uninit};
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use crate::uninit::{Init, InitStatus, Uninit};
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#[cfg(any(feature = "std", feature = "alloc"))]
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#[cfg(any(feature = "std", feature = "alloc"))]
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use crate::{DMatrix, DVector, Dynamic, VecStorage};
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use crate::{DMatrix, DVector, Dynamic, RowDVector, VecStorage};
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use std::mem::MaybeUninit;
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use std::mem::MaybeUninit;
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/// A square matrix.
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/// A square matrix.
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@ -411,6 +411,21 @@ impl<T> DVector<T> {
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}
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}
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}
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}
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// TODO: Consider removing/deprecating `from_vec_storage` once we are able to make
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// `from_data` const fn compatible
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#[cfg(any(feature = "std", feature = "alloc"))]
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impl<T> RowDVector<T> {
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/// Creates a new heap-allocated matrix from the given [`VecStorage`].
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///
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/// This method exists primarily as a workaround for the fact that `from_data` can not
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/// work in `const fn` contexts.
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pub const fn from_vec_storage(storage: VecStorage<T, U1, Dynamic>) -> Self {
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// This is sound because the dimensions of the matrix and the storage are guaranteed
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// to be the same
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unsafe { Self::from_data_statically_unchecked(storage) }
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}
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}
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impl<T, R: Dim, C: Dim> UninitMatrix<T, R, C>
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impl<T, R: Dim, C: Dim> UninitMatrix<T, R, C>
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where
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where
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DefaultAllocator: Allocator<T, R, C>,
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DefaultAllocator: Allocator<T, R, C>,
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