diff --git a/s10.py b/s10.py
index c999d89..d48777e 100644
--- a/s10.py
+++ b/s10.py
@@ -3,33 +3,161 @@
 from __future__ import absolute_import, print_function
 import sys
 import getopt
-import time
+import os
+import csv
+from base import RAW_DIR, TARGET_DIR, create_csv
 
+OCT_RAW_DIR = os.path.join(RAW_DIR, '..', 'oct')
+verbose = False
+writefile = False
 
 
+def process_lo_data4search(model=None):
+    '''
+    return group of LO by model
+        if not asking for model, return dict with all models + LO
+    '''
+    groupy = {}
+    with open(os.path.join(OCT_RAW_DIR, 'LO_DataFor_Search.csv'), 'rU') as f:
+        '''
+        PEP278 explained what rU stands for:
+            In a Python with universal newline support open() the mode
+            parameter can also be "U", meaning "open for input as a text file
+            with universal newline interpretation". Mode "rU" is also allowed,
+            for symmetry with "rb".
+        '''
+        rows = csv.reader(f)
+        for row in rows:
+            if row[1] not in groupy:
+                groupy[row[1]] = []
+            groupy[row[1]].append(row)
+    if not model:
+        return groupy
+    elif model in groupy:
+        return groupy[model]
+    else:
+        return []
 
 
+def get_lo_list_from_part7(model=None, rtype=None):
+    '''
+    Fetch data from part 7 putting in List for easy access
+    '''
+    if not model and not rtype:
+        return []
+    result = []
+    filename = '%s-%s.csv' % (model, rtype)
+    with open(os.path.join(TARGET_DIR, 'part7', filename), 'rb') as f:
+        rows = csv.reader(f)
+        for row in rows:
+            result.append(row)
+    return result
 
 
+def isMatch(a, b):
+    '''
+    ----> one limit : b needs to be 1-char since it will complicate things too much
+    possibility:
+        Y/N* --- N, Y
+    '''
+    match = False
+    aa = a.replace('*', '').split('/')
+    if b in aa:
+        return True
+    return False
 
 
+def get_matched_lo_list(los, ros):
+    COMPARSION_PAIR = [  # ใส่ไป (#R, #LO) คือ
+        (5, 2), (6, 3), (7, 6), (8, 7), (9, 10),
+        (10,12), (11,13), (12,15), (13,17), (14,18),
+        (15,19), (16,21) ,(17, 22), (18, 24), (19, 27),
+        (20, 29), (21, 30), (22, 31), (23, 33)
+    ]
+    ok = []
+
+    isMatched = False
+    for lo in los:
+        if verbose:
+            print('\n----------------------------------------------')
+        for ro in ros:
+            if isMatched:
+                continue
+            # check if all columns are matched
+            count = 0
+            for r, l in COMPARSION_PAIR:
+                if isMatch(ro[r], lo[l]):
+                    # print('MATCHED: %s === %s' % (ro[r], lo[l]), end=' | ')
+                    if verbose:
+                        print('_', end='')
+                    count += 1
+                else:
+                    # print(' X     : %s !== %s' % (ro[r], lo[l]), end=' | ')
+                    if verbose:
+                        print('X', end='')
+            # if matched column count == len(COMPARSION_PAIR), then it's a match
+            if count == len(COMPARSION_PAIR):
+                isMatched = True
+            if verbose:
+                print('\n%s %s ==> %s | matched pair #%s/%s' % (
+                    lo[0], ro[0], isMatched, count, len(COMPARSION_PAIR)))
+        if isMatched:
+            ok.append(lo)
+        # reset match boolean
+        isMatched = False
+
+    return ok
+
+
+def startProcessingS10(model, rtype):
+    data4search = process_lo_data4search(model)
+    part7data = get_lo_list_from_part7(model, rtype)
+    output = get_matched_lo_list(data4search, part7data)
+    print('==============================================')
+    print('output: #%s' % len(output))
+
+    if len(output):
+        print([l[0] for l in output])
+
+    if writefile:
+        output_name = '%s-%s.csv' % (model, rtype)
+        create_csv(output_name, output, directory='part10')
+
 
 def usage():
-    print('Help:')
+    print(
+        '''Help:
+    [opts]
+    -m, --model     Model Name
+    -r, --rtype     R_Type
+    -v              verbose
+    -w              write output to file
+Usage:
+    $ python s10.py [opts] [value]
+Example:
+    $ python s10.py -mCFHD -r3
+    $ python s10.py -mCFHD -r3 -v               << show more information
+    $ python s10.py -m CFHD -r 3 -v             << same as above
+    $ python s10.py --model=CFHD --rtype=3 -v   << same as above
+    $ python s10.py -m CFHD -r 3 -w     << write output file too.
+    $ python s10.py -mCFHD -r3 -vw      << show more information & output file.
+    ''')
 
 
 def main():
-    override = False
     try:
-        opts, args = getopt.getopt(sys.argv[1:], 'm:r:v', ['model=', 'rtype='])
+        opts, args = getopt.getopt(sys.argv[1:], 'm:r:vw', ['model=', 'rtype='])
     except getopt.GetoptError:
         usage()
         sys.exit(2)
-    verbose = False
     model_value = rtype_value = None
     for opt, arg in opts:
         if opt == "-v":
+            global verbose
             verbose = True
+        elif opt == "-w":
+            global writefile
+            writefile = True
         elif opt in ('-m', '--model'):
             ## TODO: filter model availabel and throw exception if invalid
             if len(arg) != 4:
@@ -42,8 +170,9 @@ def main():
                 sys.exit(2)
             rtype_value = arg
 
-    print('model: %s | r_type: %s | verbose: %s' % (
-        model_value, rtype_value, verbose))
+    print('[s10] model: %s | r_type: %s' % (model_value, rtype_value))
+
+    startProcessingS10(model_value, rtype_value)
 
 if __name__ == '__main__':
     main()
diff --git a/s8.py b/s8.py
index 5ba69b4..f9623a9 100755
--- a/s8.py
+++ b/s8.py
@@ -48,9 +48,10 @@ def get_ro_data(m, suffix):
     return result
 
 
-def get_similarity_count(l, r):
+def get_similarity_count(l, r, **kwargs):
+    C_PAIR = kwargs.get('pair', COMPARSION_PAIR)
     cnt = 0
-    for (x, y) in COMPARSION_PAIR:
+    for (x, y) in C_PAIR:
         r_value = r[y].replace('*', '')
         if l[x] == r_value:
             cnt += 1
@@ -98,4 +99,6 @@ def main():
             result = [__h] + result
             create_csv(output_name, result, directory='part8')
 
-main()
+
+if __name__ == '__main__':
+    main()