Apply ruff flake8-comprehensions (#21694)
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@@ -941,9 +941,9 @@ def main():
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tokenizer = tokenizer_class.from_pretrained(args.output_dir, do_lower_case=args.do_lower_case)
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checkpoints = [args.output_dir]
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if args.eval_all_checkpoints:
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checkpoints = list(
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checkpoints = [
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os.path.dirname(c) for c in sorted(glob.glob(args.output_dir + "/**/" + WEIGHTS_NAME, recursive=True))
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)
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]
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logger.info("Evaluate the following checkpoints: %s", checkpoints)
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for checkpoint in checkpoints:
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@@ -953,7 +953,7 @@ def main():
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model = model_class.from_pretrained(checkpoint)
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model.to(args.device)
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result = evaluate(args, model, tokenizer, prefix=prefix)
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result = dict((k + "_{}".format(global_step), v) for k, v in result.items())
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result = {k + "_{}".format(global_step): v for k, v in result.items()}
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results.update(result)
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return results
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@@ -1109,10 +1109,10 @@ def main():
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logger.info("Loading checkpoints saved during training for evaluation")
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checkpoints = [args.output_dir]
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if args.eval_all_checkpoints:
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checkpoints = list(
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checkpoints = [
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os.path.dirname(c)
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for c in sorted(glob.glob(args.output_dir + "/**/" + WEIGHTS_NAME, recursive=True))
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)
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]
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else:
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logger.info("Loading checkpoint %s for evaluation", args.model_name_or_path)
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@@ -1129,7 +1129,7 @@ def main():
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# Evaluate
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result = evaluate(args, model, tokenizer, prefix=global_step)
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result = dict((k + ("_{}".format(global_step) if global_step else ""), v) for k, v in result.items())
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result = {k + ("_{}".format(global_step) if global_step else ""): v for k, v in result.items()}
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results.update(result)
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logger.info("Results: {}".format(results))
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