Don't return false early just because one MIME type isn't displayable

[jkrumbiegel]

This caused a bug, for example in VSCode Jupyter Notebook mode, where the plot would not be shown inline ever.

[MakieBot]

Compile Times benchmark

Note, that these numbers may fluctuate on the CI servers, so take them with a grain of salt. All benchmark results are based on the mean time and negative percent mean faster than the base branch. Note, that GLMakie + WGLMakie run on an emulated GPU, so the runtime benchmark is much slower. Results are from running:

using_time = @ctime using Backend
# Compile time
create_time = @ctime fig = scatter(1:4; color=1:4, colormap=:turbo, markersize=20, visible=true)
display_time = @ctime Makie.colorbuffer(display(fig))
# Runtime
create_time = @benchmark fig = scatter(1:4; color=1:4, colormap=:turbo, markersize=20, visible=true)
display_time = @benchmark Makie.colorbuffer(fig)

	using	create	display	create	display
GLMakie	3.51s (3.40, 3.61) 0.08+-	547.82ms (529.84, 577.32) 20.37+-	485.20ms (472.93, 506.75) 12.84+-	7.79ms (7.49, 8.02) 0.22+-	26.01ms (25.53, 26.37) 0.39+-
master	3.47s (3.38, 3.61) 0.07+-	547.13ms (520.69, 581.09) 25.28+-	488.55ms (474.43, 518.19) 17.09+-	7.79ms (7.40, 8.24) 0.30+-	25.89ms (25.48, 26.49) 0.36+-
evaluation	0.99x invariant, 0.04s (0.47d, 0.40p, 0.08std)	1.00x invariant, 0.68ms (0.03d, 0.96p, 22.82std)	1.01x invariant, -3.35ms (-0.22d, 0.69p, 14.96std)	1.00x invariant, 0.0ms (0.01d, 0.98p, 0.26std)	1.00x invariant, 0.12ms (0.32d, 0.56p, 0.38std)
CairoMakie	2.85s (2.83, 2.87) 0.01+-	334.19ms (328.60, 341.37) 4.00+-	141.94ms (140.59, 144.54) 1.56+-	7.41ms (7.31, 7.48) 0.06+-	605.14μs (597.98, 615.16) 6.15+-
master	2.85s (2.83, 2.86) 0.01+-	334.99ms (333.33, 337.54) 1.63+-	143.65ms (140.32, 146.54) 2.47+-	7.44ms (7.34, 7.53) 0.07+-	608.55μs (603.15, 615.71) 5.40+-
evaluation	1.00x invariant, 0.01s (0.60d, 0.28p, 0.01std)	1.00x invariant, -0.8ms (-0.26d, 0.64p, 2.81std)	1.01x invariant, -1.71ms (-0.83d, 0.15p, 2.01std)	1.00x invariant, -0.04ms (-0.54d, 0.33p, 0.07std)	1.01x invariant, -3.4μs (-0.59d, 0.29p, 5.78std)
WGLMakie	3.67s (3.56, 3.84) 0.10+-	558.02ms (535.57, 610.14) 26.79+-	8.91s (8.58, 9.25) 0.29+-	9.80ms (9.54, 10.15) 0.21+-	69.86ms (67.34, 74.82) 2.86+-
master	3.69s (3.57, 3.77) 0.08+-	347.75ms (324.63, 359.59) 14.53+-	9.30s (8.91, 9.60) 0.26+-	10.42ms (9.58, 13.24) 1.27+-	70.83ms (67.65, 75.40) 3.16+-
evaluation	1.01x invariant, -0.03s (-0.28d, 0.61p, 0.09std)	0.62x slower❌, 210.26ms (9.76d, 0.00p, 20.66std)	1.04x faster ✓, -0.39s (-1.41d, 0.02p, 0.28std)	1.06x noisy🤷‍♀️, -0.61ms (-0.67d, 0.25p, 0.74std)	1.01x invariant, -0.97ms (-0.32d, 0.56p, 3.01std)