我试着通过论坛寻找答案，但我认为这对我的案例来说太具体了。
我正在使用python和pyraf编写图像缩小脚本。它会提示用户是否需要使用raw_input（“Question”）完成某些IRAF任务。我有一行，粘贴在下面，在我第一次运行脚本时跳过。如果我在之后立即重新运行脚本，则不会跳过它。该脚本会跳过此提示并立即转到下一个提示，因此完全错过了缩减中的这一步骤。
有谁知道为什么会这样？或者如果已经在其他地方回答了这个问题，我就错过了它？
skyslit=input("Which slit is for sky? Enter 0 if no sky slit: ")-1
for i in range(len(rows)/2):
if raw_input("Need to combine flats, normalize response and divide from comparisons and science frames?: ") == 'yes':
####Making lists of individual slit files and normalized files
szflat,junk,szflats=listfiles(flats[0][5:-5]+'_s'+str(i+1),beg='z*.')
szcomp,nszcomp,szcomps=listfiles(comps[0][5:-5]+'_s'+str(i+1),beg='z*.',bias='yes',append='n')
scrzsci,nscrzsci,scrzscis=listfiles(scis[0][5:-5]+'_s'+str(i+1),beg='crz*.',bias='yes',append='n')
####Combine flats into master file
iraf.unlearn(iraf.flatcombine)
iraf.flatcombine(szflat,output='sz'+flats[0][5:-5]+'_s'+str(i+1),combine='average',reject='minmax',ccdtype='none',process='no',subsets='no',delete ='no',rdnoise='RDNOISE',gain='GAIN')
print 'Created Master Flat file: sz'+flats[0][5:-5]+'_s'+str(i+1)+'.fits'
####Normalize flat response for each slit
iraf.noao.twodspec.longslit.response('sz'+flats[0][5:-5]+'_s'+str(i+1)+'.fits','sz'+flats[0][5:-5]+'_s'+str(i+1)+'.fits','Res_sz'+flats[0][5:-5]+'_s'+str(i+1)+'.fits', interac='yes', functio='chebyshev', order='30')
print 'Normalized Flat response for each slit'
####Divide Comps and Science frames by Normalized Flat
####Make lists for extracted files
ccdproc(szcomp,nszcomp,szcomps,flat='yes',flatfile='Res_sz'+flats[0][5:-5]+'_s'+str(i+1)+'.fits')
ccdproc(scrzsci,nscrzsci,scrzscis,flat='yes',flatfile='Res_sz'+flats[0][5:-5]+'_s'+str(i+1)+'.fits')
print 'Divided Comp and Science frames by Normalized Flat'
####Combine consecutive, normalized Comparison spectra in batches
c_comps=sorted(glob.glob('nz*.'+comps[0][5:-5]+'_s'+str(i+1)+'.fits'))
num=[]
for c in c_comps: num.append(float(c[3:6]))
sets=[]
lis=[num[0]]
n=1
while n < len(num):
if num[n]-num[n-1] == 1.: lis.append(num[n])
if num[n]-num[n-1] > 1.:
sets.append(lis)
lis=[num[n]]
if n == len(num)-1: sets.append(lis)
n+=1
l=0
####Creating file lists
complist=''
compfiles=[]
while l < len(sets):
ind=[num.index(n) for n in sets[l]]
comblist=''
for n in ind: comblist+=c_comps[n]+','
iraf.imcombine(comblist[:-1],'nzComp'+str(l)+'_'+comps[0][5:comps[0].index('_')]+'_s'+str(i+1)+'.fits',combine='average',reject='minmax')
data,h=py.getdata('nzComp'+str(l)+'_'+comps[0][5:comps[0].index('_')]+'_s'+str(i+1)+'.fits',header=True)
del h['CCDSEC']
py.writeto('nzComp'+str(l)+'_'+comps[0][5:comps[0].index('_')]+'_s'+str(i+1)+'.fits',data,h,clobber=True)
complist+='nzComp'+str(l)+'_'+comps[0][5:comps[0].index('_')]+'_s'+str(i+1)+'.fits,'
compfiles.append('nzComp'+str(l)+'_'+comps[0][5:comps[0].index('_')]+'_s'+str(i+1)+'.fits')
l+=1
####Find wavelength solution
####Using the combined comparison files
if raw_input("Need to find wavelength solution?: ") == 'yes': ##THIS IS WHAT IS SKIPPED!
for im in compfiles:
iraf.noao.twodspec.longslit.identify(im,coordli='goodman_hgar.dat',match=10,fwidth=7,thresho=10,niter=1) iraf.noao.twodspec.longslit.reidentify(im,im,interac='no',coordli='goodman_hgar.dat',nlost=5,thresho=10,match=10,trace='no',overrid='yes',verbose='yes')
iraf.noao.twodspec.longslit.fitcoords(im[:-5])
scifiles=sorted(glob.glob('ncrz*.'+scis[0][5:-5]+'_s'+str(i+1)+'.fits'))
imnum=[]
for s in scifiles: imnum.append(s[5:8])
first,last=input("First and last number of science frames that correspond to this Comparison (string). Do not include leading 0.: ")
for s in scifiles[imnum.index(first):imnum.index(last)+1]: iraf.noao.twodspec.longslit.transform(s,'f'+s,fitname=im[:-5],flux='no')
####Subtract sky background if in slit
if i != skyslit:
if raw_input("Is sky background present in slit?: ") == 'yes': ##THIS IS WHERE IT SKIPS TO!!
这个if语句位于for循环中，迭代我正在减少的图像。以上是跳过的行周围的相关代码。对不起，这么久了。
提前感谢您的任何帮助！