[numpy] Fix test failures under NumPy 2.0.

hawkinsp · copybara-github · commit ee3104061f35 · 2024-08-16T10:33:25.000-07:00
PiperOrigin-RevId: 663776255
diff --git a/language_table/common/clip_tokenizer_test.py b/language_table/common/clip_tokenizer_test.py
@@ -58,7 +58,7 @@ def _simple_tokenize(tokenizer, texts, context_length = 77):
   all_tokens = [
       [sot_token] + tokenizer.encode(text) + [eot_token] for text in texts
   ]
-  result = np.zeros((len(all_tokens), context_length), dtype=np.compat.long)
+  result = np.zeros((len(all_tokens), context_length), dtype=int)
 
   for i, tokens in enumerate(all_tokens):
     if len(tokens) > context_length:

Original file line number	Diff line number	Diff line change
`@@ -58,7 +58,7 @@ def _simple_tokenize(tokenizer, texts, context_length = 77):`
`58`	`58`	`all_tokens = [`
`59`	`59`	`[sot_token] + tokenizer.encode(text) + [eot_token] for text in texts`
`60`	`60`	`]`
`61`		`- result = np.zeros((len(all_tokens), context_length), dtype=np.compat.long)`
	`61`	`+ result = np.zeros((len(all_tokens), context_length), dtype=int)`
`62`	`62`
`63`	`63`	`for i, tokens in enumerate(all_tokens):`
`64`	`64`	`if len(tokens) > context_length:`