clippy: fix or_fun_call warnings
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@ -238,7 +238,7 @@ where
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SB: Storage<N, R>,
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{
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assert!(!columns.is_empty(), "At least one column must be given.");
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let ncols = C::try_to_usize().unwrap_or(columns.len());
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let ncols = C::try_to_usize().unwrap_or_else(|| columns.len());
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let nrows = columns[0].len();
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assert!(
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columns.len() == ncols,
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@ -81,7 +81,7 @@ impl<N: RealField, D: Dim, S: Storage<N, D>> Unit<Vector<N, D, S>> {
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{
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// TODO: the result is wrong when self and rhs are collinear with opposite direction.
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self.try_slerp(rhs, t, N::default_epsilon())
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.unwrap_or(Unit::new_unchecked(self.clone_owned()))
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.unwrap_or_else(|| Unit::new_unchecked(self.clone_owned()))
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}
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/// Computes the spherical linear interpolation between two unit vectors.
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@ -57,7 +57,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
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N: SimdPartialOrd + Zero,
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{
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self.fold_with(
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|e| e.map(|e| e.inlined_clone()).unwrap_or(N::zero()),
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|e| e.map(|e| e.inlined_clone()).unwrap_or_else(N::zero),
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|a, b| a.simd_max(b.inlined_clone()),
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)
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}
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@ -75,7 +75,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
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N: Zero + SimdPartialOrd + SimdSigned,
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{
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self.fold_with(
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|e| e.map(|e| e.simd_abs()).unwrap_or(N::zero()),
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|e| e.map(|e| e.simd_abs()).unwrap_or_else(N::zero),
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|a, b| a.simd_min(b.simd_abs()),
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)
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}
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@ -97,7 +97,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
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self.fold_with(
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|e| {
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e.map(|e| e.simd_norm1())
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.unwrap_or(N::SimdRealField::zero())
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.unwrap_or_else(N::SimdRealField::zero)
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},
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|a, b| a.simd_min(b.simd_norm1()),
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)
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@ -117,7 +117,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
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N: SimdPartialOrd + Zero,
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{
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self.fold_with(
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|e| e.map(|e| e.inlined_clone()).unwrap_or(N::zero()),
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|e| e.map(|e| e.inlined_clone()).unwrap_or_else(N::zero),
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|a, b| a.simd_min(b.inlined_clone()),
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)
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}
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