From 73fe2e7385af4c6062f366825af570d44cd22fd8 Mon Sep 17 00:00:00 2001 From: VictorSanh Date: Tue, 5 Nov 2019 12:51:43 -0500 Subject: [PATCH] remove fstrings --- examples/run_xnli.py | 4 ++-- transformers/data/processors/xnli.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/run_xnli.py b/examples/run_xnli.py index e8457e542b..952128f4ad 100644 --- a/examples/run_xnli.py +++ b/examples/run_xnli.py @@ -248,7 +248,7 @@ def evaluate(args, model, tokenizer, prefix=""): if args.output_mode == "classification": preds = np.argmax(preds, axis=1) else: - raise ValueError(f'No other `output_mode` for XNLI.') + raise ValueError('No other `output_mode` for XNLI.') result = compute_metrics(eval_task, preds, out_label_ids) results.update(result) @@ -305,7 +305,7 @@ def load_and_cache_examples(args, task, tokenizer, evaluate=False): if output_mode == "classification": all_labels = torch.tensor([f.label for f in features], dtype=torch.long) else: - raise ValueError(f'No other `output_mode` for XNLI.') + raise ValueError('No other `output_mode` for XNLI.') dataset = TensorDataset(all_input_ids, all_attention_mask, all_token_type_ids, all_labels) return dataset diff --git a/transformers/data/processors/xnli.py b/transformers/data/processors/xnli.py index 96fac761a9..a4807dd901 100644 --- a/transformers/data/processors/xnli.py +++ b/transformers/data/processors/xnli.py @@ -36,7 +36,7 @@ class XnliProcessor(DataProcessor): def get_train_examples(self, data_dir): """See base class.""" lg = self.language if self.train_language is None else self.train_language - lines = self._read_tsv(os.path.join(data_dir, f"XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv")) + lines = self._read_tsv(os.path.join(data_dir, "XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv".format(lg))) examples = [] for (i, line) in enumerate(lines): if i == 0: @@ -78,7 +78,7 @@ def xnli_compute_metrics(task_name, preds, labels): if task_name == "xnli": return {"acc": simple_accuracy(preds, labels)} else: - raise ValueError(f'{task_name} is not a supported task.') + raise ValueError('{} is not a supported task.'.format(task_name)) xnli_processors = { "xnli": XnliProcessor,