Add "Done" button to stats screen
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8
init.lua
8
init.lua
@ -1191,7 +1191,7 @@ local show_histogram_formspec = function(player, options, stats)
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"label[1.1,8.15;"..F(S("Noise values")).."]"..
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"label[0,7.0;"..F(S("Max.")).."\n"..F(S("Min.")).."]"..
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"tooltip[0,6.8;0.7,1;"..F(S("Upper bounds (exclusive) and lower bounds (inclusive) of the noise value data bucketing")).."]"..
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"box[0.75,0;0.025,8.3;"..FORMSPEC_HISTOGRAM_LINE_COLOR.."]"..
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"box[0.75,0;0.025,8.5;"..FORMSPEC_HISTOGRAM_LINE_COLOR.."]"..
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"box[0,6.65;"..HISTOGRAM_BUCKETS..",0.025;"..FORMSPEC_HISTOGRAM_LINE_COLOR.."]"..
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"box[0,7.8;"..HISTOGRAM_BUCKETS..",0.025;"..FORMSPEC_HISTOGRAM_LINE_COLOR.."]"
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local hstart = 1
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@ -1276,13 +1276,14 @@ local show_histogram_formspec = function(player, options, stats)
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]]..labels..[[
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container_end[]
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container[0,2.75]
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box[0,0;]]..(HISTOGRAM_BUCKETS+0.5)..[[,9.0;]]..FORMSPEC_BOX_COLOR..[[]
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box[0,0;]]..(HISTOGRAM_BUCKETS+0.5)..[[,9.25;]]..FORMSPEC_BOX_COLOR..[[]
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box[0,0;]]..(HISTOGRAM_BUCKETS+0.5)..[[,0.4;]]..FORMSPEC_HEADER_COLOR..[[]
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label[0.25,0.2;]]..F(S("Noise Value Histogram"))..[[]
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container[0.25,0.6]
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]]..histogram..[[
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container_end[]
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container_end[]
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button[7.25,11.35;3,0.5;done;]]..F(S("Done"))..[[]
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container_end[]
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]]
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minetest.show_formspec(player:get_player_name(), "perlin_explorer:histogram", form)
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@ -1537,7 +1538,7 @@ minetest.register_on_player_receive_fields(function(player, formname, fields)
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end
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-- Analysis window
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if formname == "perlin_explorer:analyze" or formname == "perlin_explorer:error" then
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if formname == "perlin_explorer:analyze" or formname == "perlin_explorer:error" or formname == "perlin_explorer:histogram" then
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if fields.done then
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local noiseparams = formspec_states[player:get_player_name()].noiseparams
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show_noise_formspec(player, noiseparams)
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@ -1713,6 +1714,7 @@ minetest.register_on_player_receive_fields(function(player, formname, fields)
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-- Start statistics calculation
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if fields.statistics then
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formspec_states[player:get_player_name()].noiseparams = noiseparams
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local max_spread = 0
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max_spread = math.max(max_spread, noiseparams.spread.x)
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max_spread = math.max(max_spread, noiseparams.spread.y)
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