julia 1.13.0 DEVstyling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2058 页 | 7.45 MB | 3 月前3
Comprehensive Rust(繁体中文)} impl Widget for Button { fn width(&self) -> usize { self.label.width() + 8 // add a bit of padding } fn draw_into(&self, buffer: &mut dyn std::fmt::Write) { let width = self.width(); let mut label fn width(&self) -> usize { // ANCHOR_END: Button-width self.label.width() + 8 // add a bit of padding } // ANCHOR: Button-draw_into fn draw_into(&self, buffer: &mut dyn std::fmt::Write) { // ANCHOR_END: l; use std::slice; /// ... /// # Safety /// The type must have a defined representation and no padding. pub unsafe trait AsBytes { fn as_bytes(&self) -> &[u8] { unsafe { slice::from_raw_parts( self0 码力 | 358 页 | 1.41 MB | 11 月前3
Julia 1.11.4styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.5 Documentationstyling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.6 Release Notesstyling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.12.0 RC1styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta4styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta3styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2057 页 | 7.44 MB | 3 月前3
julia 1.12.0 beta1styling information is preserved. This means you can manipulate a AnnotatedString —taking substrings, padding them, concatenating them with other strings— and the metadata annotations will "come along for the digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together0 码力 | 2047 页 | 7.41 MB | 3 月前3
julia 1.10.10digital filtering algorithm and you have a method that handles the edges of the signal by applying padding: function myfilter(A, kernel, ::Replicate) Apadded = replicate_edges(A, size(kernel)) myfilter(Apadded # now perform the "real" computation end This will run afoul of a method that supplies default padding: myfilter(A, kernel) = myfilter(A, kernel, Replicate()) # replicate the edge by default Together better design would be to define your call hierarchy like this: struct NoPad end # indicate that no padding is desired, or that it's already applied myfilter(A, kernel) = myfilter(A, kernel, Replicate())0 码力 | 1692 页 | 6.34 MB | 3 月前3
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