本文整理汇总了Python中pyparsing.Group.parseFile方法的典型用法代码示例。如果您正苦于以下问题：Python Group.parseFile方法的具体用法？Python Group.parseFile怎么用？Python Group.parseFile使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyparsing.Group的用法示例。
在下文中一共展示了Group.parseFile方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: solve
# 需要导入模块: from pyparsing import Group [as 别名]
# 或者: from pyparsing.Group import parseFile [as 别名]
#.........这里部分代码省略.........
CondPrecedences = list()
for P in S.precs_cond() :
CondPrecedences.append(( task_to_id[P.left],task_to_id[P.right],P.offset))
LowerBounds = list()
for P in S.precs_low() :
LowerBounds.append((task_to_id[P.left],P.right))
UpperBounds = list()
for P in S.precs_up() :
UpperBounds.append((task_to_id[P.left],P.right))
FixBounds = list()
for T in S.tasks() :
if T.start is not None :
FixBounds.append((task_to_id[T],T.start))
Precedences = sorted(Precedences)
CondPrecedences = sorted(CondPrecedences)
# add objective
Objectives = [ (task_to_id[key],S.objective[key]) for key in S.objective if key != 1 ]
#for key in S.objective :
# Objectives.append( (task_to_id[key],S.objective[key]) )
Objectives = sorted(Objectives)
# function to convert table into opl type typle lists
def to_str(l) :
return '\n'.join([ '<'+' '.join([ str(x) for x in row ])+'>' \
for row in l ])
if not os.path.exists(solvers_path+'/tmp') :
os.makedirs(solvers_path+'/tmp')
# write .dat-file
f = open(solvers_path+'/tmp/cpoptimizer.dat','w')
f.write('Objectives={\n'+to_str(Objectives)+'\n};\n\n')
f.write('Tasks={\n'+to_str(Tasks)+'\n};\n\n')
f.write('Resources={\n'+to_str(Resources)+'\n};\n\n')
f.write('PulseResources={\n'+to_str(PulseResources)+'\n};\n\n')
f.write('TaskResources={\n'+to_str(TaskResources)+'\n};\n\n')
f.write('TaskResourceGroups={\n'+to_str(TaskResourceGroups)+'\n};\n\n')
f.write('TaskPulseResources={\n'+to_str(TaskPulsResources)+'\n};\n\n')
f.write('Precedences={\n'+to_str(Precedences)+'\n};\n\n')
f.write('TightPrecedences={\n'+to_str(TightPrecedences)+'\n};\n\n')
f.write('CondPrecedences={\n'+to_str(CondPrecedences)+'\n};\n\n')
f.write('UpperBounds={\n'+to_str(UpperBounds)+'\n};\n\n')
f.write('LowerBounds={\n'+to_str(LowerBounds)+'\n};\n\n')
f.write('FixBounds={\n'+to_str(FixBounds)+'\n};\n\n')
f.close()
# run cp-optimizer
start_time = time.time()
os.system('oplrun '+solvers_path+'/cpoptimizer.mod '+solvers_path+'/tmp/cpoptimizer.dat')
if msg : print('INFO: execution time (sec) = '+str(time.time()-start_time))
# parse output
from pyparsing import Keyword,Literal,Word,alphas,nums,printables,OneOrMore,ZeroOrMore,dblQuotedString,Group
INT = Word( nums )
int_row = Group( INT + \
Literal("<").suppress() + \
INT + INT + INT + INT + \
Literal(">").suppress() )
rint_row = Group( INT + INT +\
Literal("<").suppress() + \
INT + INT + INT + INT + \
Literal(">").suppress() )
res_seq_row = Group(Literal("<").suppress() + dblQuotedString + \
INT + INT + INT + \
INT + INT + INT + \
Literal(">").suppress() )
plan = Group( Keyword("INTERVALS").suppress() + Group( ZeroOrMore(int_row) ) +
Keyword("RINTERVALS").suppress() + Group( ZeroOrMore(rint_row) ) )#+
opl_plan = plan.parseFile(solvers_path+'/tmp/cpoptimizer.out')
int_plan = opl_plan[0][0]
rint_plan = opl_plan[0][1]
#res_seq_plan = opl_plan[0][2][0]
# get starts of tasks #TODO: merge with resource assignment
starts = { i : int(int_plan[i][2]) for i in range(len(int_plan)) }
# get resource assignment
assign = { i : [ int(rint_plan[j][1]) for j in range(len(rint_plan)) \
if int(rint_plan[j][0]) == i and int(rint_plan[j][2]) ] \
for i in starts.keys() }
# add to scenario
for T in S.tasks() :
T.start = starts[task_to_id[T]] #second column is start
if T.resources is None :
T.resources = list()
T.resources += [ id_to_resource[j] for j in assign[task_to_id[T]] ]