From f504c6416a2a3c31d25aaa9e1e77a0832f35e24e Mon Sep 17 00:00:00 2001 From: Kantajit Shaw Date: Wed, 5 May 2021 21:28:52 +0530 Subject: [PATCH] [python] added f-strings to python-package/lightgbm/engine.py --- python-package/lightgbm/engine.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/python-package/lightgbm/engine.py b/python-package/lightgbm/engine.py index 43f04cbf67a5..0029361280c7 100644 --- a/python-package/lightgbm/engine.py +++ b/python-package/lightgbm/engine.py @@ -149,12 +149,12 @@ def train(params, train_set, num_boost_round=100, for alias in _ConfigAliases.get("num_iterations"): if alias in params: num_boost_round = params.pop(alias) - _log_warning("Found `{}` in params. Will use it instead of argument".format(alias)) + _log_warning(f"Found `{alias}` in params. Will use it instead of argument") params["num_iterations"] = num_boost_round for alias in _ConfigAliases.get("early_stopping_round"): if alias in params: early_stopping_rounds = params.pop(alias) - _log_warning("Found `{}` in params. Will use it instead of argument".format(alias)) + _log_warning(f"Found `{alias}` in params. Will use it instead of argument") params["early_stopping_round"] = early_stopping_rounds first_metric_only = params.get('first_metric_only', False) @@ -198,7 +198,7 @@ def train(params, train_set, num_boost_round=100, if valid_names is not None and len(valid_names) > i: name_valid_sets.append(valid_names[i]) else: - name_valid_sets.append('valid_' + str(i)) + name_valid_sets.append(f'valid_{i}') # process callbacks if callbacks is None: callbacks = set() @@ -383,7 +383,7 @@ def _agg_cv_result(raw_results, eval_train_metric=False): for one_result in raw_results: for one_line in one_result: if eval_train_metric: - key = "{} {}".format(one_line[0], one_line[1]) + key = f"{one_line[0]} {one_line[1]}" else: key = one_line[1] metric_type[key] = one_line[3] @@ -532,12 +532,12 @@ def cv(params, train_set, num_boost_round=100, params['objective'] = 'none' for alias in _ConfigAliases.get("num_iterations"): if alias in params: - _log_warning("Found `{}` in params. Will use it instead of argument".format(alias)) + _log_warning(f"Found `{alias}` in params. Will use it instead of argument") num_boost_round = params.pop(alias) params["num_iterations"] = num_boost_round for alias in _ConfigAliases.get("early_stopping_round"): if alias in params: - _log_warning("Found `{}` in params. Will use it instead of argument".format(alias)) + _log_warning(f"Found `{alias}` in params. Will use it instead of argument") early_stopping_rounds = params.pop(alias) params["early_stopping_round"] = early_stopping_rounds first_metric_only = params.get('first_metric_only', False) @@ -597,8 +597,8 @@ def cv(params, train_set, num_boost_round=100, cvfolds.update(fobj=fobj) res = _agg_cv_result(cvfolds.eval_valid(feval), eval_train_metric) for _, key, mean, _, std in res: - results[key + '-mean'].append(mean) - results[key + '-stdv'].append(std) + results[f'{key}-mean'].append(mean) + results[f'{key}-stdv'].append(std) try: for cb in callbacks_after_iter: cb(callback.CallbackEnv(model=cvfolds,