From 04cd7496244c83e1d927ccbe20f89de8b26ea76c Mon Sep 17 00:00:00 2001
From: "deepsource-autofix[bot]"
 <62050782+deepsource-autofix[bot]@users.noreply.github.com>
Date: Wed, 7 Jul 2021 01:58:38 +0000
Subject: [PATCH] Pass string format arguments as logging method parameters

---
 lecture2notes/dataset/transcripts_wer.py               |  4 ++--
 lecture2notes/end_to_end/summarization_approaches.py   | 10 +++++-----
 lecture2notes/end_to_end/transcribe/transcribe_main.py |  8 ++++----
 lecture2notes/end_to_end/transcribe/webrtcvad_utils.py |  2 +-
 4 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/lecture2notes/dataset/transcripts_wer.py b/lecture2notes/dataset/transcripts_wer.py
index 5e39917..c12ad80 100644
--- a/lecture2notes/dataset/transcripts_wer.py
+++ b/lecture2notes/dataset/transcripts_wer.py
@@ -136,7 +136,7 @@
             audio_path = process_folder / (video_id + "." + ARGS.audio_format)
 
             end_time = timer() - start_time
-            logger.info("Stage 1 (Download and Convert Audio) took %s" % end_time)
+            logger.info("Stage 1 (Download and Convert Audio) took %s", end_time)
 
             # Transcribe
             start_time = timer()
@@ -157,7 +157,7 @@
                 )
 
             end_time = timer() - start_time
-            logger.info("Stage 2 (Transcribe) took %s" % end_time)
+            logger.info("Stage 2 (Transcribe) took %s", end_time)
 
             transcribe.write_to_file(transcript, transcript_ml_path)
             logger.info(
diff --git a/lecture2notes/end_to_end/summarization_approaches.py b/lecture2notes/end_to_end/summarization_approaches.py
index b24cadc..111cee9 100644
--- a/lecture2notes/end_to_end/summarization_approaches.py
+++ b/lecture2notes/end_to_end/summarization_approaches.py
@@ -293,8 +293,8 @@ def extract_features_bow(
         )
     features = vectorizer.fit_transform(data)
 
-    logger.debug("done in %fs" % (time() - t0))
-    logger.debug("n_samples: %d, n_features: %d" % features.shape)
+    logger.debug("done in %fs", (time() - t0))
+    logger.debug("n_samples: %d, n_features: %d", features.shape)
 
     if return_lsa_svd:
         doc_term_matrix = features.toarray()
@@ -314,7 +314,7 @@ def extract_features_bow(
 
         features = lsa.fit_transform(features)
 
-        logger.debug("done in %fs" % (time() - t0))
+        logger.debug("done in %fs", (time() - t0))
 
         explained_variance = svd.explained_variance_ratio_.sum()
         logger.debug(
@@ -555,10 +555,10 @@ def cluster(
     else:
         km = KMeans(n_clusters=num_topics, max_iter=100)
 
-    logger.debug("Clustering data with %s" % km)
+    logger.debug("Clustering data with %s", km)
     t0 = time()
     km.fit(X)
-    logger.debug("done in %0.3fs" % (time() - t0))
+    logger.debug("done in %0.3fs", (time() - t0))
 
     sentence_clusters = [
         [] for _ in range(num_topics)
diff --git a/lecture2notes/end_to_end/transcribe/transcribe_main.py b/lecture2notes/end_to_end/transcribe/transcribe_main.py
index 282e340..d48bb8e 100644
--- a/lecture2notes/end_to_end/transcribe/transcribe_main.py
+++ b/lecture2notes/end_to_end/transcribe/transcribe_main.py
@@ -412,10 +412,10 @@ def resolve_deepspeech_models(dir_name):
     """
 
     pb = glob.glob(dir_name + "/*.pbmm")[0]
-    logging.debug("Found model: %s" % pb)
+    logging.debug("Found model: %s", pb)
 
     scorer = glob.glob(dir_name + "/*.scorer")[0]
-    logging.debug("Found scorer: %s" % scorer)
+    logging.debug("Found scorer: %s", scorer)
 
     return pb, scorer
 
@@ -515,7 +515,7 @@ def transcribe_audio_deepspeech(
     transcript_json_converted = convert_deepspeech_json(transcript_json)
 
     inference_end = timer() - inference_start
-    logger.debug("Inference (transcription) took %0.3fs." % inference_end)
+    logger.debug("Inference (transcription) took %0.3fs.", inference_end)
 
     return transcript_text, transcript_json_converted
 
@@ -682,7 +682,7 @@ def process_segments(
                 segment, model, raw_audio_data=True
             )
 
-            logging.debug("Chunk Transcript: %s" % transcript)
+            logging.debug("Chunk Transcript: %s", transcript)
 
             full_transcript_json.extend(transcript_json)
 
diff --git a/lecture2notes/end_to_end/transcribe/webrtcvad_utils.py b/lecture2notes/end_to_end/transcribe/webrtcvad_utils.py
index 632d585..a1ad303 100644
--- a/lecture2notes/end_to_end/transcribe/webrtcvad_utils.py
+++ b/lecture2notes/end_to_end/transcribe/webrtcvad_utils.py
@@ -129,7 +129,7 @@ def vad_segment_generator(wavFile, aggressiveness, desired_sample_rate=None):
     """
     from .transcribe_main import read_wave
 
-    logging.debug("Caught the wav file @: %s" % (wavFile))
+    logging.debug("Caught the wav file @: %s", (wavFile))
     audio, sample_rate, audio_length = read_wave(wavFile, desired_sample_rate)
     if sample_rate not in (
         8000,