线性问题分析器
Aplos的Python项目详细描述
aplos是一个简单而优雅的线性问题（lp）解析器。它允许一个人获得所有的信息，他们所需要的任何线性问题给出正确的语法。您可以阅读有关线性规划的更多信息here.
预期的LP格式
min/max cTx
s.t /st /s.t. /subject to Ax ⊗ b
End
其中可以是以下任一项=，<；=，>；=
变量（x）约束/域未考虑（尚未）。
示例：
最大3x1+2x2
S.T.x1+2x2<；=9
2x1+5x2<；=4
结束
最小3x1-5x2+x4
st x2+x3=2
2x1+3x2+5x4>；=5
x1-5x2+2x3-4x4<；=10
结束
用法
importAplos# Initialization# From a fileparser=Aplos.AplosParser(filename='lp.txt')# From a stringtext_lp='''Max 3x1 +2x2s.t. x1+2x2<=92x1+5x2<=4End'''parser=Aplos.AplosParser(text=text_lp)# From a string with a custom delimetertext="Max 3x1 +2x3 + x5,s.t. x1+2x2<=9,2x1+5x2<=4,End"parser=Aplos.AplosParser(text=text,delimeter=',')# Getting the variablesvariables_of_line=parser.get_vars(line_idx=0)# variables_of_line = {"existing":['x1','x3'], "extended":['x1','x2','x3','x4','x5']}variables_all=parser.get_vars()# variables_all = ['x1','x2','x3','x4','x5']# Detect errorserrors=parser.detect_errors()# set print_msg=True to print the full list of errorsifnoterrors:# Get dimensionsdimensions=parser.get_dimensions()m=dimensions['m']n=dimensions['n']# Get any matrix (A,b,c,Eqin or MinMax)# Eqin and MinMax have values corresponding to symbols# Eqin -- '<=': -1 | '>=' : 1 | '=' : 0# MinMax -- 'max':1 | 'min':-1matrix_A=parser.get_matrix('a')matrix_b=parser.get_matrix('B')# And so on# Otherwise, get all matrices at once.# Keys are : A,b,c,Eqin & MinMaxmatrices=parser.get_matrices()matrix_A=matrices['A']# And so on# Save matrices to fileparser.write_matrices_to_file('output.txt')# Get dual matrices# Variable constraints -- 'free' : 0 | '>= 0' : 1 | '<= 0' : -1}dual_A=parser.get_dual_matrix('a')# Variable constraints are calculated assuming that x(i) >= 0# for every i. This is subject to change.dual_var_constr=parser.get_dual_matrix('var_constr')# And so on# You can also get all the dual matrices together# Similarly keys are : A,b,c,Eqin,MinMax & VarConstrdual_matrices=parser.get_dual_matrices()dual_A=dual_matrices['A']# And so on# Save dual matrices to fileparser.write_matrices_to_file('output_dual.txt',dual=True)# After saving matrices (non-dual), you can also read them backsaved_matrices=parser.read_matrices_from_file('output.txt')# If dualsaved_d_matrices=parser.read_matrices_from_file('output_dual.txt')
随着项目的继续，“usage”部分将得到更新，并最终（希望）在文档文件/页面中一起移动。
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