chore(pre-commit.ci): auto fixes

Author: pre-commit-ci[bot]

src/so_vits_svc_fork/gui.py

@@ -86,9 +86,11 @@ def get_supported_file_types() -> tuple[tuple[str, str], ...]:
     common_file_types = ["WAV", "MP3", "FLAC", "OGG", "M4A", "WMA"]
     res = sorted(
         res,
-        key=lambda x: common_file_types.index(x[0])
-        if x[0] in common_file_types
-        else len(common_file_types),
+        key=lambda x: (
+            common_file_types.index(x[0])
+            if x[0] in common_file_types
+            else len(common_file_types)
+        ),
     )
     return res
 
@@ -187,15 +189,19 @@ def main():
                 sg.Push(),
                 sg.InputText(
                     key="model_path",
-                    default_text=model_candidates[-1].absolute().as_posix()
-                    if model_candidates
-                    else "",
+                    default_text=(
+                        model_candidates[-1].absolute().as_posix()
+                        if model_candidates
+                        else ""
+                    ),
                     enable_events=True,
                 ),
                 sg.FileBrowse(
-                    initial_folder=Path("./logs/44k/").absolute
-                    if Path("./logs/44k/").exists()
-                    else Path(".").absolute().as_posix(),
+                    initial_folder=(
+                        Path("./logs/44k/").absolute
+                        if Path("./logs/44k/").exists()
+                        else Path(".").absolute().as_posix()
+                    ),
                     key="model_path_browse",
                     file_types=(
                         ("PyTorch", "G_*.pth G_*.pt"),
@@ -208,15 +214,19 @@ def main():
                 sg.Push(),
                 sg.InputText(
                     key="config_path",
-                    default_text=Path("./configs/44k/config.json").absolute().as_posix()
-                    if Path("./configs/44k/config.json").exists()
-                    else "",
+                    default_text=(
+                        Path("./configs/44k/config.json").absolute().as_posix()
+                        if Path("./configs/44k/config.json").exists()
+                        else ""
+                    ),
                     enable_events=True,
                 ),
                 sg.FileBrowse(
-                    initial_folder=Path("./configs/44k/").as_posix()
-                    if Path("./configs/44k/").exists()
-                    else Path(".").absolute().as_posix(),
+                    initial_folder=(
+                        Path("./configs/44k/").as_posix()
+                        if Path("./configs/44k/").exists()
+                        else Path(".").absolute().as_posix()
+                    ),
                     key="config_path_browse",
                     file_types=(("JSON", "*.json"),),
                 ),
@@ -226,15 +236,17 @@ def main():
                 sg.Push(),
                 sg.InputText(
                     key="cluster_model_path",
-                    default_text=Path("./logs/44k/kmeans.pt").absolute().as_posix()
-                    if Path("./logs/44k/kmeans.pt").exists()
-                    else "",
+                    default_text=(
+                        Path("./logs/44k/kmeans.pt").absolute().as_posix()
+                        if Path("./logs/44k/kmeans.pt").exists()
+                        else ""
+                    ),
                     enable_events=True,
                 ),
                 sg.FileBrowse(
-                    initial_folder="./logs/44k/"
-                    if Path("./logs/44k/").exists()
-                    else ".",
+                    initial_folder=(
+                        "./logs/44k/" if Path("./logs/44k/").exists() else "."
+                    ),
                     key="cluster_model_path_browse",
                     file_types=(("PyTorch", "*.pt"), ("Pickle", "*.pt *.pth *.pkl")),
                 ),
@@ -735,9 +747,11 @@ def apply_preset(name: str) -> None:
                             recursive=True,
                             # svc config
                             speaker=values["speaker"],
-                            cluster_model_path=Path(values["cluster_model_path"])
-                            if values["cluster_model_path"]
-                            else None,
+                            cluster_model_path=(
+                                Path(values["cluster_model_path"])
+                                if values["cluster_model_path"]
+                                else None
+                            ),
                             transpose=values["transpose"],
                             auto_predict_f0=values["auto_predict_f0"],
                             cluster_infer_ratio=values["cluster_infer_ratio"],
@@ -749,9 +763,9 @@ def apply_preset(name: str) -> None:
                             chunk_seconds=values["chunk_seconds"],
                             absolute_thresh=values["absolute_thresh"],
                             max_chunk_seconds=values["max_chunk_seconds"],
-                            device="cpu"
-                            if not values["use_gpu"]
-                            else get_optimal_device(),
+                            device=(
+                                "cpu" if not values["use_gpu"] else get_optimal_device()
+                            ),
                         ),
                     )
                     infer_future.add_done_callback(
@@ -782,9 +796,11 @@ def apply_preset(name: str) -> None:
                         config_path=Path(values["config_path"]),
                         speaker=values["speaker"],
                         # svc config
-                        cluster_model_path=Path(values["cluster_model_path"])
-                        if values["cluster_model_path"]
-                        else None,
+                        cluster_model_path=(
+                            Path(values["cluster_model_path"])
+                            if values["cluster_model_path"]
+                            else None
+                        ),
                         transpose=values["transpose"],
                         auto_predict_f0=values["auto_predict_f0"],
                         cluster_infer_ratio=values["cluster_infer_ratio"],

src/so_vits_svc_fork/inference/main.py

@@ -75,9 +75,9 @@ def infer(
     svc_model = Svc(
         net_g_path=model_path.as_posix(),
         config_path=config_path.as_posix(),
-        cluster_model_path=cluster_model_path.as_posix()
-        if cluster_model_path
-        else None,
+        cluster_model_path=(
+            cluster_model_path.as_posix() if cluster_model_path else None
+        ),
         device=device,
     )
 
@@ -148,9 +148,9 @@ def realtime(
     svc_model = Svc(
         net_g_path=model_path.as_posix(),
         config_path=config_path.as_posix(),
-        cluster_model_path=cluster_model_path.as_posix()
-        if cluster_model_path
-        else None,
+        cluster_model_path=(
+            cluster_model_path.as_posix() if cluster_model_path else None
+        ),
         device=device,
     )
 

src/so_vits_svc_fork/preprocessing/preprocess_hubert_f0.py

@@ -131,10 +131,12 @@ def preprocess_hubert_f0(
         memory = get_total_gpu_memory("total")
         n_jobs = min(
             max(
-                memory
-                // (HUBERT_MEMORY_CREPE if f0_method == "crepe" else HUBERT_MEMORY)
-                if memory is not None
-                else 1,
+                (
+                    memory
+                    // (HUBERT_MEMORY_CREPE if f0_method == "crepe" else HUBERT_MEMORY)
+                    if memory is not None
+                    else 1
+                ),
                 1,
             ),
             cpu_count(),

src/so_vits_svc_fork/train.py

@@ -104,11 +104,11 @@ def train(
         val_check_interval=hparams.train.eval_interval,
         max_epochs=hparams.train.epochs,
         check_val_every_n_epoch=None,
-        precision="16-mixed"
-        if hparams.train.fp16_run
-        else "bf16-mixed"
-        if hparams.train.get("bf16_run", False)
-        else 32,
+        precision=(
+            "16-mixed"
+            if hparams.train.fp16_run
+            else "bf16-mixed" if hparams.train.get("bf16_run", False) else 32
+        ),
         strategy=strategy,
         callbacks=([pl.callbacks.RichProgressBar()] if not is_notebook() else [])
         + [DeviceStatsMonitor()],