diff --git a/pls.py b/pls.py
index 95f4a44..7a626e7 100644
--- a/pls.py
+++ b/pls.py
@@ -19,8 +19,8 @@ for i in group3:
     sum_group_dict[sum(map(int, list(i)))].append(i)
 
 for i in sum_group_dict.keys():
-    f3 = lambda number: True if '1' not in number else False
-    print(i, -cachesum_group_dict[i])
+    f3 = lambda number: True if '7' not in number else False
+    print(i, list(filter(f3, sum_group_dict[i])))
 # print(sum_group3_dict) 
 # sum_group3 = [ sum(map(int, list(i))) for i in group3]
 # print(pd.value_counts(sum_group3).to_dict())
diff --git a/sd.py b/sd.py
index 9947fdb..b762fe9 100644
--- a/sd.py
+++ b/sd.py
@@ -3,14 +3,43 @@ import pandas as pd
 
 a = np.arange(1000)
 
+nums = [ f"{i:03d}" for i in a ]
+is_odd = lambda i: True if int(i) % 2 == 1 else False
+is_even = lambda i: True if int(i) % 2 == 0 else False
+
+#奇奇奇
+odd_odd_odd = [i for i in nums if is_odd(i[0]) and is_odd(i[1]) and is_odd(i[2]) ]
+#奇奇偶
+odd_odd_even = [i for i in nums if is_odd(i[0]) and is_odd(i[1]) and is_even(i[2]) ]
+#
+odd_even_odd = [i for i in nums if is_odd(i[0]) and is_even(i[1]) and is_odd(i[2]) ]
+#
+odd_even_even = [i for i in nums if is_odd(i[0]) and is_even(i[1]) and is_even(i[2])]
+#
+even_odd_odd = [i for i in nums if is_even(i[0]) and is_odd(i[1]) and is_odd(i[2]) ]
+#奇奇偶
+even_odd_even = [i for i in nums if is_even(i[0]) and is_odd(i[1]) and is_even(i[2]) ]
+#
+even_even_odd = [i for i in nums if is_even(i[0]) and is_even(i[1]) and is_odd(i[2]) ]
+#
+even_even_even = [i for i in nums if is_even(i[0]) and is_even(i[1]) and is_even(i[2])]
+
+print(len(even_even_even))
+print(len(even_even_odd))
+print(len(odd_odd_even))
+
+f = lambda x: True if '7' not in x and '5' not in x else False
+result = list(filter(f, even_odd_even))
+print(result)
+
 l = set([ f"{i:03d}" for i in a ])
 
 sum_dict = dict()
-print(len(l))
+# print(len(l))
 for i in l:
     _sum = sum(map(int, i))
     v = sum_dict.get(_sum, 0)
     sum_dict[_sum] = v + 1
 
 df = pd.Series(sum_dict)
-print(df.sort_values(ascending=False))
\ No newline at end of file
+# print(df.sort_values(ascending=False))
\ No newline at end of file