difftastic/sample_files/julia_2.jl

56 lines
1.5 KiB
Julia

import Base: display, redisplay
struct InlineDisplay <: AbstractDisplay end
# supported MIME types for inline display in IPython, in descending order
# of preference (descending "richness")
const ipy_mime = [
"application/vnd.dataresource+json",
["application/vnd.vegalite.v$n+json" for n in 3:-1:2]...,
["application/vnd.vega.v$n+json" for n in 5:-1:3]...,
"application/vnd.plotly.v1+json",
"text/html",
"text/latex",
"image/svg+xml",
"image/png",
"image/jpeg",
"text/plain",
"text/markdown",
"application/javascript"
]
# need special handling for showing a string as a textmime
# type, since in that case the string is assumed to be
# raw data unless it is text/plain
israwtext(::MIME, x::AbstractString) = true
israwtext(::MIME"text/plain", x::AbstractString) = false
israwtext(::MIME, x) = false
InlineIOContext(io, KVs::Pair...) = IOContext(
io,
:limit=>true, :color=>true, :jupyter=>true,
KVs...
)
# convert x to a string of type mime, making sure to use an
# IOContext that tells the underlying show function to limit output
function limitstringmime(mime::MIME, x)
buf = IOBuffer()
if istextmime(mime)
if israwtext(mime, x)
return String(x)
else
show(InlineIOContext(buf), mime, x)
end
else
b64 = Base64EncodePipe(buf)
if isa(x, Vector{UInt8})
write(b64, x) # x assumed to be raw binary data
else
show(InlineIOContext(b64), mime, x)
end
close(b64)
end
return String(take!(buf))
end