From 6872133e69e80f43e7ee0f784b758a811abc4ce8 Mon Sep 17 00:00:00 2001
From: vfdev <vfdev.5@gmail.com>
Date: Thu, 17 Oct 2024 20:05:05 +0000
Subject: [PATCH] Fixed mypy failures on the CI

---
 ignite/handlers/time_profilers.py | 8 ++++----
 ignite/handlers/visdom_logger.py  | 8 ++++----
 ignite/handlers/wandb_logger.py   | 2 +-
 ignite/metrics/fbeta.py           | 4 ++--
 4 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/ignite/handlers/time_profilers.py b/ignite/handlers/time_profilers.py
index 38427aab0e4..76f560e050a 100644
--- a/ignite/handlers/time_profilers.py
+++ b/ignite/handlers/time_profilers.py
@@ -400,7 +400,7 @@ def print_results(results: Dict) -> str:
 
         """
 
-        def to_str(v: Union[str, tuple]) -> str:
+        def to_str(v: Union[str, tuple, int, float]) -> str:
             if isinstance(v, str):
                 return v
             elif isinstance(v, tuple):
@@ -412,12 +412,12 @@ def odict_to_str(d: Mapping) -> str:
             return out
 
         others = {
-            k: odict_to_str(v) if isinstance(v, OrderedDict) else v for k, v in results["event_handlers_stats"].items()
+            k: odict_to_str(v) if isinstance(v, OrderedDict) else to_str(v) for k, v in results["event_handlers_stats"].items()
         }
 
         others.update(results["event_handlers_names"])
 
-        output_message = """
+        output_message: str = """
  ----------------------------------------------------
 | Time profiling stats (in seconds):                 |
  ----------------------------------------------------
@@ -430,7 +430,7 @@ def odict_to_str(d: Mapping) -> str:
 {dataflow_stats}
 
 Event handlers:
-{total_time:.5f}
+{total_time}
 
 - Events.STARTED: {STARTED_names}
 {STARTED}
diff --git a/ignite/handlers/visdom_logger.py b/ignite/handlers/visdom_logger.py
index 315191c3984..c820d343a6e 100644
--- a/ignite/handlers/visdom_logger.py
+++ b/ignite/handlers/visdom_logger.py
@@ -150,7 +150,7 @@ def __init__(
         **kwargs: Any,
     ):
         try:
-            import visdom
+            import visdom  # type: ignore[import-not-found]
         except ImportError:
             raise ModuleNotFoundError(
                 "This contrib module requires visdom package. "
@@ -187,7 +187,7 @@ def __init__(
 
         self.vis = visdom.Visdom(server=server, port=port, raise_exceptions=raise_exceptions, **kwargs)
 
-        if not self.vis.offline and not self.vis.check_connection():  # type: ignore[attr-defined]
+        if not self.vis.offline and not self.vis.check_connection():
             raise RuntimeError(f"Failed to connect to Visdom server at {server}. Did you run python -m visdom.server ?")
 
         self.executor: Union[_DummyExecutor, "ThreadPoolExecutor"] = _DummyExecutor()
@@ -195,7 +195,7 @@ def __init__(
             self.executor = ThreadPoolExecutor(max_workers=num_workers)
 
     def _save(self) -> None:
-        self.vis.save([self.vis.env])  # type: ignore[attr-defined]
+        self.vis.save([self.vis.env])
 
     def close(self) -> None:
         self.executor.shutdown()
@@ -240,7 +240,7 @@ def add_scalar(
         kwargs = {
             "X": [global_step],
             "Y": [v],
-            "env": logger.vis.env,  # type: ignore[attr-defined]
+            "env": logger.vis.env,
             "win": self.windows[k]["win"],
             "update": update,
             "opts": self.windows[k]["opts"],
diff --git a/ignite/handlers/wandb_logger.py b/ignite/handlers/wandb_logger.py
index 89675c00fe7..cc1e533b2dd 100644
--- a/ignite/handlers/wandb_logger.py
+++ b/ignite/handlers/wandb_logger.py
@@ -125,7 +125,7 @@ def score_function(engine):
 
     def __init__(self, *args: Any, **kwargs: Any):
         try:
-            import wandb
+            import wandb  # type: ignore[import-not-found]
 
             self._wandb = wandb
         except ImportError:
diff --git a/ignite/metrics/fbeta.py b/ignite/metrics/fbeta.py
index 6522efc6423..63f822fe3a5 100644
--- a/ignite/metrics/fbeta.py
+++ b/ignite/metrics/fbeta.py
@@ -151,7 +151,7 @@ def thresholded_output_transform(output):
 
     if precision is None:
         precision = Precision(
-            output_transform=(lambda x: x) if output_transform is None else output_transform,  # type: ignore[arg-type]
+            output_transform=(lambda x: x) if output_transform is None else output_transform,
             average=False,
             device=device,
         )
@@ -160,7 +160,7 @@ def thresholded_output_transform(output):
 
     if recall is None:
         recall = Recall(
-            output_transform=(lambda x: x) if output_transform is None else output_transform,  # type: ignore[arg-type]
+            output_transform=(lambda x: x) if output_transform is None else output_transform,
             average=False,
             device=device,
         )