gs_packer.erl
来自「OTP是开放电信平台的简称」· ERL 代码 · 共 273 行
ERL
273 行
%% ``The contents of this file are subject to the Erlang Public License,%% Version 1.1, (the "License"); you may not use this file except in%% compliance with the License. You should have received a copy of the%% Erlang Public License along with this software. If not, it can be%% retrieved via the world wide web at http://www.erlang.org/.%% %% Software distributed under the License is distributed on an "AS IS"%% basis, WITHOUT WARRANTY OF ANY KIND, either express or implied. See%% the License for the specific language governing rights and limitations%% under the License.%% %% The Initial Developer of the Original Code is Ericsson Utvecklings AB.%% Portions created by Ericsson are Copyright 1999, Ericsson Utvecklings%% AB. All Rights Reserved.''%% %% $Id$%%%% ------------------------------------------------------------%% Erlang Graphics Interface geometry manager caclulator%% -------------------------------------------------------------module(gs_packer).-export([pack/2]).%-compile(export_all).%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This is a simple packer that take a specification in the format%%%% %%%% Spec -> [WidthSpec, WidthSpec....]%%%% WidthSpec -> {fixed,Size} | {stretch,Weight} |%%%% {stretch,Weight,Min} | {stretch,Weight,Min,Max}%%%%%%%% and a given total size it produces a list of sizes of the%%%% individual elements. Simple heuristics are used to make the code%%%% fast and simple.%%%%%%%% The Weight is simply a number that is the relative size to the%%%% other elements that has weights. If for example the weights%%%% for a frame that has three columns are 40 20 100 it means that%%%% column 1 has 40/160'th of the space, column 2 20/160'th of%%%% the space and column 3 100/160'th of the space.%%%%%%%% The program try to solve the equation with the constraints given.%%%% We have tree cases%%%%%%%% o We can fullfil the request in the space given%%%% o We have less space than needed%%%% o We have more space than allowed%%%%%%%% The algorithm is as follows:%%%%%%%% 1. Subtract the fixed size, nothing to do about that.%%%%%%%% 2. Calculate the Unit (or whatever it should be called), the%%%% given space minus the fixed sise divided by the Weights.%%%%%%%% 3. If we in total can fullfill the request we try to%%%% fullfill the individual constraints. See remove_failure/2.%%%%%%%% 4. If we have too little or too much pixels we take our%%%% specification and create a new more relaxed one. See%%%% cnvt_to_min/1 and cnvt_to_max/1.%%%%%%%% In general we adjust the specification and redo the whole process%%%% until we have a specification that meet the total constraints%%%% and individual constraints. When we know that the constraints%%%% are satisfied we finally call distribute_space/2 to set the%%%% resulting size values for the individual elements.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%pack(Size, SpecSizes) when Size < 0 -> pack(0, SpecSizes);pack(Size, SpecSizes) -> {Weights,_Stretched,Fixed,Min,Max} = get_size_info(SpecSizes), Left = Size - Fixed, Unit = if Weights == 0 -> 0; true -> Left / Weights end, if Left < Min -> NewSpecs = cnvt_to_min(SpecSizes), pack(Size,NewSpecs); is_integer(Max), Max =/= 0, Left > Max -> NewSpecs = cnvt_to_max(SpecSizes), pack(Size,NewSpecs); true -> case remove_failure(SpecSizes, Unit) of {no,NewSpecs} -> distribute_space(NewSpecs,Unit); {yes,NewSpecs} -> pack(Size, NewSpecs) end end.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% remove_failure(Specs, Unit)%%%%%%%% We know that we in total have enough space to fit within the total%%%% maximum and minimum requirements. But we have to take care of%%%% individual minimum and maximum requirements.%%%%%%%% This is done with a simple heuristic. We pick the element that%%%% has the largest diff from the required min or max, change this%%%% {stretch,W,Mi,Ma} to a {fixed,Mi} or {fixed,Ma} and redo the%%%% whole process again.%%%%%%%% **** BUGS ****%%%% No known. But try to understand this function and you get a medal ;-)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%remove_failure(Specs, Unit) -> case remove_failure(Specs, Unit, 0) of {done,NewSpecs} -> {yes,NewSpecs}; {_,_NewSpecs} -> {no,Specs} % NewSpecs == Specs but end. % we choose the old oneremove_failure([], _Unit, MaxFailure) -> {MaxFailure,[]};remove_failure([{stretch,W,Mi} | Specs], Unit, MaxFailure) -> {MinMax,NewMaxFailure} = max_failure(MaxFailure, Mi-W*Unit, 0), case {MinMax,remove_failure(Specs, Unit, NewMaxFailure)} of {min,{NewMaxFailure,Rest}} -> {done,[{fixed,Mi} | Rest]}; {_,{OtherMaxFailure, Rest}} -> {OtherMaxFailure,[{stretch,W,Mi} | Rest]} end;remove_failure([{stretch,W,Mi,Ma} | Specs], Unit, MaxFailure) -> {MinMax,NewMaxFailure} = max_failure(MaxFailure, Mi-W*Unit, W*Unit-Ma), case {MinMax,remove_failure(Specs, Unit, NewMaxFailure)} of {min,{NewMaxFailure,Rest}} -> {done,[{fixed,Mi} | Rest]}; {max,{NewMaxFailure,Rest}} -> {done,[{fixed,Ma} | Rest]}; {_,{OtherMaxFailure, Rest}} -> {OtherMaxFailure,[{stretch,W,Mi,Ma} | Rest]} end;remove_failure([Spec | Specs], Unit, MaxFailure) -> {NewMaxFailure,NewSpecs} = remove_failure(Specs, Unit, MaxFailure), {NewMaxFailure, [Spec | NewSpecs]}.max_failure(LastDiff, DMi, DMa) when DMi > LastDiff, DMi > DMa -> {min,DMi};max_failure(LastDiff, _DMi, DMa) when DMa > LastDiff -> {max,DMa};max_failure(MaxFailure, _DMi, _DMa) -> {other,MaxFailure}.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% distribute_space(Spec,Unit)%%%%%%%% We now know that we can distribute the space to the elements in%%%% the list.%%%%%%%% **** BUGS ****%%%% No known bugs. It try hard to distribute the pixels so that%%%% there should eb no pixels left when done but there is no proof%%%% that this is the case. The distribution of pixels may also%%%% not be optimal. The rounding error from giving one element some%%%% pixels is added to the next even if it would be better to add%%%% it to an element later in the list (for example the weights%%%% 1000, 2, 1000). But this should be good enough.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%distribute_space(Specs, Unit) -> distribute_space(Specs, Unit, 0.0).distribute_space([], _Unit, _Err) -> [];distribute_space([Spec | Specs], Unit, Err) -> distribute_space(Spec, Specs, Unit, Err).distribute_space({fixed,P}, Specs, Unit, Err) -> [P | distribute_space(Specs, Unit, Err)];distribute_space({stretch,Weight}, Specs, Unit, Err) -> Size = Weight * Unit + Err, Pixels = round(Size), NewErr = Size - Pixels, [Pixels | distribute_space(Specs, Unit, NewErr)];distribute_space({stretch,W,_Mi}, Specs, Unit, Err) -> distribute_space({stretch,W}, Specs, Unit, Err);distribute_space({stretch,W,_Mi,_Ma}, Specs, Unit, Err) -> distribute_space({stretch,W}, Specs, Unit, Err). %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% cnvt_to_min(Spec)%%%% cnvt_to_max(Spec)%%%%%%%% If the space we got isn't enough for the total minimal or maximal%%%% requirements then we convert the specification to a more relaxed%%%% one that we always can satisfy.%%%%%%%% This is fun! We do a simple transformation from one specification%%%% to a new one. The min, max and fixed size are our new weights!%%%% This way the step from a specification we can satisfy and one%%%% close that we can't is only a few pixels away, i.e. the transition%%%% from within the constraints and outside will be smooth.%%%%%%%% **** BUGS ****%%%% No known bugs.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%cnvt_to_min([]) -> [];cnvt_to_min([Spec | Specs]) -> cnvt_to_min(Spec, Specs).cnvt_to_max([]) -> [];cnvt_to_max([Spec | Specs]) -> cnvt_to_max(Spec, Specs).cnvt_to_min({fixed,P}, Specs) -> [{stretch,P} | cnvt_to_min(Specs)];cnvt_to_min({stretch,_W}, Specs) -> [{fixed,0} | cnvt_to_min(Specs)];cnvt_to_min({stretch,_W,Mi}, Specs) -> [{stretch,Mi} | cnvt_to_min(Specs)];cnvt_to_min({stretch,_W,Mi,_Ma}, Specs) -> [{stretch,Mi} | cnvt_to_min(Specs)].%% We know that there can only be {fixed,P} and {stretch,W,Mi,Ma}%% in this list.cnvt_to_max({fixed,P}, Specs) -> [{stretch,P} | cnvt_to_max(Specs)];cnvt_to_max({stretch,_W,_Mi,Ma}, Specs) -> [{stretch,Ma} | cnvt_to_max(Specs)].%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Sum the Weights, Min and Max etc%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%get_size_info(Specs) -> get_size_info(Specs, 0, 0, 0, 0, 0).get_size_info([], TotW, NumW, TotFixed, TotMin, TotMax) -> {TotW, NumW, TotFixed, TotMin, TotMax};get_size_info([Spec | Specs], TotW, NumW, TotFixed, TotMin, TotMax) -> get_size_info(Spec, TotW, NumW, TotFixed, TotMin, TotMax, Specs). get_size_info({fixed,P}, TotW, NumW, TotFixed, TotMin, TotMax, Specs) -> get_size_info(Specs, TotW, NumW, TotFixed+P, TotMin, TotMax);get_size_info({stretch,W}, TotW, NumW, TotFixed, TotMin, _TotMax, Specs) -> get_size_info(Specs, TotW+W, NumW+1, TotFixed, TotMin, infinity);get_size_info({stretch,W,Mi}, TotW, NumW, TotFixed, TotMin, _TotMax, Specs) -> get_size_info(Specs, TotW+W, NumW+1, TotFixed, TotMin+Mi, infinity);get_size_info({stretch,W,Mi,_Ma}, TotW, NumW, TotFixed, TotMin, infinity, Specs) -> get_size_info(Specs, TotW+W, NumW+1, TotFixed, TotMin+Mi, infinity);get_size_info({stretch,W,Mi,Ma}, TotW, NumW, TotFixed, TotMin, TotMax, Specs) -> get_size_info(Specs, TotW+W, NumW+1, TotFixed, TotMin+Mi, TotMax+Ma).
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