Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

the compiler's effect modeling. This macro can be used in several contexts:CHAPTER 43. ESSENTIALS 665 1. Immediately before a method definition, to override the entire effect modeling of the applied method without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline

Override the compiler's effect modeling. This macro can be used in several contexts: 1. Immediately before a method definition, to override the entire effect modeling of the applied method. 2. Within without any arguments, to override the entire effect modeling of the en- closing method. 3. Applied to a code block, to override the local effect modeling of the applied code block. Examples julia> Base transformations such as vectorization rely upon target information such as vector register width and cost modeling. Additionally, codegen itself makes a few target-dependent assumptions, and the optimization pipeline