wip

s2.py

@@ -75,7 +75,7 @@ def produce_s2_part2(rank_result):
         rank_no = 1
         for rk in sorted(list(ro), reverse=True):
             # print(ii, ':', rk)
-            rows.append(['Rank#%s' % rank_no, rk])
+            rows.append(['Rank#%s' % rank_no, 'rank', rank_no, 'count', rk])
             rank_no += 1
             for i in ii:
                 # find order

s3.py

@@ -0,0 +1,57 @@
+# -*- coding:utf-8 -*-
+#!/usr/bin/env python
+from __future__ import print_function
+from base import Lo, create_csv
+import os
+import csv
+import sys
+
+los = Lo()
+
+xmodels = {
+    'IMSf': {}, 'IMSD': {}, 'IMHf': {}, 'IMHD': {}, 'IFSf': {}, 'IFSD': {},
+    'IFHf': {}, 'IFHD': {}, 'CMSf': {}, 'CMSD': {}, 'CMHf': {}, 'CMHD': {},
+    'CFSf': {}, 'CFSD': {}, 'CFHf': {}, 'CFHD': {}, 'PMSf': {}, 'PMSD': {},
+    'PMHf': {}, 'PMHD': {}, 'PFSf': {}, 'PFSD': {}, 'PFHf': {}, 'PFHD': {},
+}
+fs = ('Case1_LS.csv', 'Case1_Gender.csv', 'Case1_Level.csv', 'Case1_SciF.csv')
+
+
+def process_s2_data():
+    xm_data = {}
+    for ii in xmodels.keys():
+        fname = '%s-2.csv' % ii
+        fpath = os.path.join(os.getcwd(), 'build', 'part2', fname)
+        with open(fpath, 'rb') as f:
+            rows = csv.reader(f)
+            rank = 0
+            for r in rows:
+                if r[1] == "rank":
+                    rank = r[2]
+                    continue
+                if ii not in xm_data:
+                    xm_data[ii] = {}
+                if rank not in xm_data[ii]:
+                    xm_data[ii][rank] = {}
+                xm_data[ii][rank] = r[1].split(',')
+    return xm_data
+
+
+def produce_match_all(xdata):
+    for ii in xmodels.keys():
+        los = set()
+        for _rank in xdata[ii]:
+            print(_rank)
+
+
+def main(*argv):
+    xm = process_s2_data()
+    print(xm['CMHf'].keys())
+    produce_match_all(xm)
+    pass
+
+if __name__ == '__main__':
+    if len(sys.argv) > 1:
+        main(sys.argv[1:])
+    else:
+        main()