renamed files

worked on program
int and str is a problem
list comprehension is a different thing while working with json

dict.json

@@ -1,30 +0,0 @@
-[
-    {
-        "letter": "silk-1",
-        "radical": "silk",
-        "numeral": "1"
-
-    },
-
-    {
-        "letter": "silk-2",
-        "radical": "silk",
-        "numeral": "2"
-
-    },
-
-    {
-        "letter": "silk-3",
-        "radical": "silk",
-        "numeral": "3"
-
-    },
-
-    {
-        "letter": "earth-1",
-        "radical": "earth",
-        "numeral": "4"
-
-    }
-]
-

dict_test.py

@@ -1,37 +1,82 @@
-# prototype to translate a system to text into dictionary
+'''
-# as a type of structured text
+Development Notes
+JSON is a common format used to represent structured text.   
+
+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. 
+
+When the rule is disrupted, when I query the dictionary again, 
+the message is disrupted. 
+
+The rule is disrupted by linear arithemetic operation, 
+are there more disruptive and complex rules? 
+
+Prototype to translate a system to text into dictionary
+as a type of structured text
+
+str int conversion is important to debug the program
+
+why is it that noise is perceived as adverse?  
+
+'''
+
 import numpy as np
 import json
 
-# what is the proper way to store radicals with dictionary?
+# 1 <= key <= 3, silk; 4 <= key <= 6, earth; 7 <= key <= 9, water
-# use json
+
+# perform message decryption process via this mini corpus  
+# "no" field is similar to ascii/morse code/unicode coding protocols
+# original message identified by "no" field, no 2 & 3
+# first wrd
 
-data = json.load(open('dict.json', 'r'))
+# disrupted message idenfified by "no" field
 
-# the essence of the program is to introduce noise to disrupt 
+data = json.load(open('seed.json', 'r'))
-# the mapping relation of the dictionary. 
+
-# learning rules is also essential to machine learning, which
+print("before disrupting, the message is: ")
+
+for i in data:
+    print(i)
+    if i["no"] == "2":
+        print(i["glyph"] + " " + i["radical"] )
+    if i["no"] == "3":
+        print(i["glyph"] + " " + i["radical"] )
+    
+# write as a function, input are codes, output are a {} of glyphs
 
 noise = np.random.randint(1,3)
 
 for i in data:
-    i["numeral"] = int(i["numeral"]) 
+    i["no"] = int(i["no"]) 
-    i["numeral"] += noise
+    i["no"] += noise
 
-# write to a new json file
+with open('noised.json','w') as w_file:
-with open('new.json','w') as w_file:
     json.dump(data,w_file, indent=4)
 
-# test with an existing corpus 
+print("after disrupting, the message is: ")
-# try a chinese dictionary and a latin dictionary
-# and any other types of dictionary structures, remix!
 
-# current rule
+# use noised json to decrypt 
-# 1 <= key <= 3, silk; 4 <= key <= 6, earth; 7 <= key <= 9, water
 
-# then when i query the dictionary again, 
+noise_data = json.load(open('noised.json','r')) 
-# the rule is disrupted, the message is disrupted
+for i in noise_data:
-# the rule is disrupted by adding a simple number 
+    print(i)
-# are there more disruptive and complex rules? 
+    print(type(i["no"]))
+    # comparing integers, the noise_data no fields are previously
+    # dumped as integers
+    if i["no"] == 2:
+        print(i["glyph"] + " " + i["radical"] )
+    if i["no"] == 3:
+        print(i["glyph"] + " " + i["radical"] )
+
+# at this point the interferences are not so apparent 
+
+# test with a large corpus 
+
+# try with corpuses of different language
+
+# try a chinese dictionary and a latin dictionary
 
-# next step is to investigate json files themselves
+# and any other types of dictionary structures, remix!

new.json

@@ -1,22 +0,0 @@
-[
-    {
-        "letter": "silk-1",
-        "radical": "silk",
-        "numeral": 2
-    },
-    {
-        "letter": "silk-2",
-        "radical": "silk",
-        "numeral": 3
-    },
-    {
-        "letter": "silk-3",
-        "radical": "silk",
-        "numeral": 4
-    },
-    {
-        "letter": "earth-1",
-        "radical": "earth",
-        "numeral": 5
-    }
-]

noised.json

@@ -0,0 +1,26 @@
+[
+    {
+        "glyph": "hong",
+        "dept-no": "silk-1",
+        "radical": "silk",
+        "no": 2
+    },
+    {
+        "glyph": "jiao",
+        "dept-no": "silk-2",
+        "radical": "silk",
+        "no": 3
+    },
+    {
+        "glyph": "zhu",
+        "dept-no": "silk-3",
+        "radical": "silk",
+        "no": 4
+    },
+    {
+        "glyph": "du",
+        "dept-no": "earth-1",
+        "radical": "earth",
+        "no": 5
+    }
+]

seed.json

@@ -0,0 +1,30 @@
+[
+    {
+        "glyph": "hong",
+        "dept-no": "silk-1",
+        "radical": "silk",
+        "no": "1"
+    },
+
+    {
+        "glyph": "jiao",
+        "dept-no": "silk-2",
+        "radical": "silk",
+        "no": "2"
+    },
+
+    {
+        "glyph": "zhu",
+        "dept-no": "silk-3",
+        "radical": "silk",
+        "no": "3"
+    },
+
+    {
+        "glyph": "du",
+        "dept-no": "earth-1",
+        "radical": "earth",
+        "no": "4"
+    }
+]
+