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[ci-skip] fix docs
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src/func.jl

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@@ -133,7 +133,7 @@ uniform across `op`, `op_adjoint`, `op_inverse`, `op_adjoint_inverse`.
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* `has_mul5` - `true` if the operator provides a five-argument `mul!` via the signature `op(v, u, p, t, α, β; <accepted_kwargs>)`. This trait is inferred if no value is provided.
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* `isconstant` - `true` if the operator is constant, and doesn't need to be updated via `update_coefficients[!]` during operator evaluation.
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* `islinear` - `true` if the operator is linear. Defaults to `false`.
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* `batch` - Boolean indicating if the input/output arrays comprise of batched vectors. If `true`, the last dimension of input/output arrays is considered to be the batch dimension and is not involved in size computation. For example, let `size(output), size(input) = (M, K), (N, K)`. If `batch = true`, then the second dimension is assumed to be the batch dimension, and the `size` of `FunctionOperator` is set to `(M, N)`. If `batch = false`, then `size` would be set to `(M * K, M * K)`.
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* `batch` - Boolean indicating if the input/output arrays comprise of batched vectors. If `true`, the last dimension of input/output arrays is considered to be the batch dimension and is not involved in size computation. For example, let `size(output), size(input) = (M, K), (N, K)`. If `batch = true`, then the second dimension is assumed to be the batch dimension, and the `size(F::FunctionOperator) = (M, N)`. If `batch = false`, then `size(F::FunctionOperator) = (M * K, M * K)`.
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* `ifcache` - Allocate cache arrays in constructor. Defaults to `true`. Cache can be generated afterwards by calling `cache_operator(L, input, output)`
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* `cache` - Pregenerated cache arrays for in-place evaluations. Expected to be of type and shape `(similar(input), similar(output),)`. The constructor generates cache if no values are provided. Cache generation by the constructor can be disabled by setting the kwarg `ifcache = false`.
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* `opnorm` - The norm of `op`. Can be a `Number`, or function `opnorm(p::Integer)`. Defaults to `nothing`.

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