首先，72万行对于预处理来说并不算太多。类似的工具sed and awk主要是逐行工作，因此它们的扩展性非常好。
我实际上所做的是将数据转换为可以使用名单的方式：
$ cat preprocess.sed
# Add commas between values
# Space followed by letter -> insert comma
s/ \([[:alpha:]]\)/ , \1/g
# "number" is a key word in Fortran, so replace it with num
s/number/num/g
# Replace all possible data delimitors with the equals character
s/[#:]/=/g
# add the '&mydata' namelist descriptor to the beginning
s/^/\&mydata /1
# add the namelist closing "/" character to the end of the line:
s,$,/,1
$ sed -f preprocess.sed < data.dat > data.nml
检查数据是否已正确预处理：
$ tail -3 data.dat
number#1997 var1=114 var2=130 var3:127
number#1998 var1=164 var2=192 var3: 86
number#1999 var1=101 var2= 48 var3:120
$ tail -3 data.nml
&mydata num=1997 , var1=114 , var2=130 , var3=127/
&mydata num=1998 , var1=164 , var2=192 , var3= 86/
&mydata num=1999 , var1=101 , var2= 48 , var3=120/
然后你可以用这个 fortran 程序来读取它：
program read_mixed
implicit none
integer :: num, var1, var2, var3
integer :: io_stat
namelist /mydata/ num, var1, var2, var3
open(unit=100, file='data.nml', status='old', action='read')
do
read(100, nml=mydata, iostat=io_stat)
if (io_stat /= 0) exit
print *, num, var1, var2, var3
end do
close(100)
end program read_mixed
