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msdiffusion/utils.py

@@ -0,0 +1,50 @@
+import re
+
+
+def get_phrase_idx(tokenizer, phrase, prompt, get_last_word=False, num=0):
+    def is_equal_words(pr_words, ph_words):
+        if len(pr_words) != len(ph_words):
+            return False
+        for pr_word, ph_word in zip(pr_words, ph_words):
+            if "-"+ph_word not in pr_word and ph_word != re.sub(r'[.!?,:]$', '', pr_word):
+                return False
+        return True
+
+    phrase_words = phrase.split()
+    if len(phrase_words) == 0:
+        return [0, 0], None
+    if get_last_word:
+        phrase_words = phrase_words[-1:]
+    # prompt_words = re.findall(r'\b[\w\'-]+\b', prompt)
+    prompt_words = prompt.split()
+    start = 1
+    end = 0
+    res_words = phrase_words
+    for i in range(len(prompt_words)):
+        if is_equal_words(prompt_words[i:i+len(phrase_words)], phrase_words):
+            if num != 0:
+                # skip this one
+                num -= 1
+                continue
+            end = start
+            res_words = prompt_words[i:i+len(phrase_words)]
+            res_words = [re.sub(r'[.!?,:]$', '', w) for w in res_words]
+            prompt_words[i+len(phrase_words)-1] = res_words[-1]  # remove the last punctuation
+            for j in range(i, i+len(phrase_words)):
+                end += len(tokenizer.encode(prompt_words[j])) - 2
+            break
+        else:
+            start += len(tokenizer.encode(prompt_words[i])) - 2
+
+    if end == 0:
+        return [0, 0], None
+
+    return [start, end], res_words
+
+
+def get_eot_idx(tokenizer, prompt):
+    words = prompt.split()
+    start = 1
+    for w in words:
+        start += len(tokenizer.encode(w)) - 2
+    return start