bool = False) → Future[None] Flushes the current output buffer to the network. Changed in version 4.0: Now returns a Future if no callback is given. Changed in version 6.0: The callback argument was removed textual formats will be compressed automatically. New in Tornado 4.0. • gzip: Deprecated alias for compress_response since Tornado 4.0. • log_function: This function will be called at the end of every given path. This method may be overridden by subclasses. Added in version 3.1. Changed in version 4.0: This method is now always called, instead of only when partial results are requested. get_modified_time()

What’s new in Tornado 4.1 What’s new in Tornado 4.0.2 What’s new in Tornado 4.0.1 What’s new in Tornado 4.0 What’s new in Tornado 3.2.2 What’s new in Tornado 3.2.1 What’s new in Tornado 3.2 What’s new in Tornado org/3/library/constants.html#None]] Flushes the current output buffer to the network. Changed in version 4.0: Now returns a Future if no callback is given. Changed in version 6.0: The callback argument was removed in textual formats will be compressed automatically. New in Tornado 4.0. gzip: Deprecated alias for compress_response since Tornado 4.0.log_function: This function will be called at the end of every request

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x,y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0]; julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y)) # equivalent to X

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x,y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0]; julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y)) # equivalent to X

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))