67 lines
1.6 KiB
Python
67 lines
1.6 KiB
Python
#!/bin/env python
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__author__ = 'dongyun.zdy'
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import subprocess as sp
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import os
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import sys
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def run_cmd(cmd):
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print cmd
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res = ''
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p = sp.Popen(cmd, shell=True, stdout=sp.PIPE, stderr=sp.STDOUT)
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while True:
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line = p.stdout.readline()
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res += line
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if line:
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print line.strip()
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sys.stdout.flush()
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else:
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break
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p.wait()
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return res
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prep_file_name = 'scan.cache.prep'
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fit_file_name = 'scan.cache.fit'
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col_counts = [1, 20, 40, 50]
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modes = ['WE', 'E', 'W']
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mode_ids = {'WE':1, 'E':2, 'W':3}
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mode_names = {'WE':'io', 'E':'bc', 'W':'rc'}
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prep_cmd = './preprocess.py -i scan.NORMAL.res -o scan.cache.prep -t 10 -C 4 -d'.split()
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for mode in modes:
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mode_name = mode_names[mode]
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prep_cmd[2] = 'get.' + mode + '.res'
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prep_cmd[4] = 'get.' + mode_name + '.prep'
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run_cmd(' '.join(prep_cmd))
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for col_count in col_counts:
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prep_cmd[4] = 'get.' + mode_name + '.prep.' + str(col_count)
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run_cmd(' '.join(prep_cmd) + ' -f 1,e,%d' % col_count)
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fit_cmd = './fit_get.py -i aaa -o bbb'.split()
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apply_cmd = './apply_get_model.py -i aaa -o bbb -m mmm'.split()
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for mode in modes:
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mode_name = mode_names[mode]
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fit_cmd[2] = 'get.' + mode_name + '.prep'
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fit_cmd[4] = 'get.' + mode_name + '.model'
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run_cmd(' '.join(fit_cmd))
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for col_count in col_counts:
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apply_cmd[2] = 'get.' + mode_name + '.prep.' + str(col_count)
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apply_cmd[4] = 'get.' + mode_name + '.fit.' + str(col_count)
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apply_cmd[6] = 'get.' + mode_name + '.model'
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run_cmd(' '.join(apply_cmd))
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