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'''
Step 5
'''
# -*- coding:utf-8 -*-
#!/usr/bin/env python
from __future__ import print_function
from base import create_csv, TARGET_DIR, MODEL_LIST
import os
import csv
import sys
def get_sorted_list(model_name):
_m = model_name
result = []
fpath = os.path.join(TARGET_DIR, 'part4', '%s-step4.csv' % _m)
if _m not in MODEL_LIST:
return []
weight_index = MODEL_LIST.index(_m) + 5 # offset
with open(fpath, 'rb') as f:
rows = csv.reader(f)
for r in rows:
# result[r[0]] = [r[1], r[2], r[3], r[4], r[5], r[6]]
result.append([
r[0], # no of tree
r[1], # lo_id
r[2], # ???
r[3], # ??
r[4], # something count
r[weight_index]
])
sorted_result = sorted(result, key=lambda x: x[5], reverse=True)
return sorted_result
def loop_thru_model():
result = {}
max_count = 0
for m in MODEL_LIST:
result[m] = get_sorted_list(m)
max_count = max_count if max_count > len(result[m]) else len(result[m])
return (result, max_count)
sorted_by_weight, max_count = loop_thru_model()
rows = []
# fill up header since there is no way to know what model is
row = ['|', ]
for m in MODEL_LIST:
row += ['-', '-', m, '-', '-', '|']
rows.append(row)
for i in xrange(0, max_count):
row = [i, ]
for m in MODEL_LIST:
try:
row += sorted_by_weight[m][i]
except IndexError:
row += ['', '', '', '', '', '']
rows.append(row)
create_csv('sorted_all.csv', rows, directory='part5')