Create tokenizer.py

train/code/tokenizer.py

@@ -0,0 +1,87 @@
+import regex as re
+
+#raw string
+mystring="هوشمند بیرانوند   فروغی مظاهری زینلی معینی دولت رضاییان قادمه حیدرزاده کوچک سیاح حکیمی غلامزاده"
+#g=[ord(x)for x in mystring]
+
+
+#encoding raw txt with utf-8 encoding
+tokens=list(mystring.encode("utf-8"))
+
+#gets the statistic of which pair appear togather more frequently
+def get_stats(ids):
+    counts={}
+    for pair in zip(ids,ids[1:]):  # (ids,ids[1:]) a way to make a silding window to comp 2 elements
+        counts[pair]=counts.get(pair,0)+1
+    return counts
+stats=get_stats(tokens)
+#print(stats)
+#print(sorted(((v,k) for k,v in stats.items()),reverse=True))
+top_pair=max(stats,key=stats.get)
+#print(top_pair)
+
+#replaces the most common pair with a new id index or idx
+def merge(ids,pair,idx):
+    newids=[]
+    i=0
+    while i <len(ids):
+        if i <len(ids) - 1 and ids[i]==pair[0] and ids[i+1]==pair[1]:
+            newids.append(idx)
+            i+=2
+        else:
+            newids.append(ids[i])
+            i+=1
+    return newids
+#print(merge([2,4,578,5,2,4,12,2,4,1,3,2,4,63,256,2453,24,2,4],(2,4),69))
+"""tokens2=merge(tokens,top_pair,128)
+print(tokens2)
+print("length: ",len(tokens2)) """
+
+vocabsize=276
+num_merges=vocabsize-256
+ids=list(tokens) #so we still have a copy of the og list
+merges={} # (int,int) -> int or (child1,child2 ) turning into a new token
+for i in range(num_merges):
+    stats=get_stats(ids)
+    pair=max(stats,key=stats.get)
+    idx=256+i
+    print(f"merging {pair} into a new token {idx}")
+    ids=merge(ids,pair,idx)
+    merges[pair]=idx
+
+
+print("token length: ",len(tokens))
+print("ids length:",len(ids))
+print(f"compression ratio: {len(tokens)/len(ids):.2f}X")
+
+
+#decoding 
+
+# pre processing variable
+vocab={idx:bytes([idx]) for idx in range(256)}
+for (p0,p1),idx in merges.items():
+    vocab[idx]=vocab[p0]+vocab[p1] #addition of two bytes object kinda of a concatination
+def decoding(ids):
+    #given ids (list of ints) ,return python string\
+    tokens= b"".join(vocab[idx] for idx in ids)
+    text=tokens.decode("utf-8",errors='replace')
+    return text
+
+ #encoding segment
+
+def encoding(text):
+    tokens=list(text.encode("utf-8"))
+    while len(tokens)>=2:
+        stats=get_stats(tokens)
+        pair=min(stats, key=lambda p:merges.get(p,float("inf")))
+        if pair not in merges:
+            break #nothing else is mergable
+        idx=merges[pair]
+        tokens=merge(tokens,pair,idx)
+    return tokens
+f=encoding('حسینی زاده')
+print(f)
+print(decoding(f))
+
+
+##print(re.findall(gpt2pat,"heyo 123 123 I've come to you with big MASSIvE     news "))