continued to work with the json file

dict_test.py

@@ -11,38 +11,24 @@ data = json.load(open('dict.json', 'r'))
 # the essence of the program is to introduce noise to disrupt 
 # the mapping relation of the dictionary. 
 # learning rules is also essential to machine learning, which
-for i in data:
-    print(i["letter"])
-    # modify numeral for letter and update json file
-    i["numeral"] = "updated value nul"
-    print(i["numeral"])
 
-for i in data:
-    print(i)
+noise = np.random.randint(1,3)
 
-# how to save to json file
+for i in data:
+    i["numeral"] = int(i["numeral"]) 
+    i["numeral"] += noise
 
-# the problem is, dictionary keys are saved as strings
-# using numerical update can apply? 
+# write to a new json file
+with open('new.json','w') as w_file:
+    json.dump(data,w_file, indent=4)
 
+# test with an existing corpus 
+# try a chinese dictionary and a latin dictionary
+# and any other types of dictionary structures, remix!
 
 # current rule
 # 1 <= key <= 3, silk; 4 <= key <= 6, earth; 7 <= key <= 9, water
 
-
-
-# add noise to rule 
-
-# there is some noise
-noise = np.random.randint(1,3)
-
-
-# loop through keys, add noise to key value
-# say noise is 2, every key adds 2 
-# dict = { '3':'silk-1', '4':'silk-2', '5':'silk-3',
-#       '6':'earth-1', '7':'earth-2', '8':'earth-3',
-#        '9':'water-1', '10':'water-2', '11':'water-3',
-#    }
 # then when i query the dictionary again, 
 # the rule is disrupted, the message is disrupted
 # the rule is disrupted by adding a simple number