Merge pull request #239 from Aydinhamedi/Beta-b

Beta b
Aydinhamedi · Apr 4, 2024 · ab47217 · ab47217
2 parents c2ac36b + 9ec545c
commit ab47217
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Showing 7 changed files with 9,488 additions and 7,252 deletions.
diff --git a/.idea/.name b/.idea/.name
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
diff --git a/BETA_E_Model_T&T.ipynb b/BETA_E_Model_T&T.ipynb
diff --git a/Model_T&T.ipynb b/Model_T&T.ipynb
diff --git a/Utils/Other.py b/Utils/Other.py
@@ -162,4 +162,4 @@ def print_optimizer_info(model):
         for param, value in model.optimizer.get_config().items():
             print_Color(f"~* <Opt> -- ~*{param}: ~*{value}", ["cyan", "light_cyan", "green"], advanced_mode=True)
     else:
-        print_Color("No optimizer found in the model.", ["red"])
+        print_Color("No optimizer found in the model.", ["red"])
diff --git a/Utils/Timeout_input.py b/Utils/Timeout_input.py
@@ -2,6 +2,7 @@
 import queue
 import keyboard
 
+
 class TimeoutInput:
     """
     A class to get user input with a timeout.
@@ -24,9 +25,9 @@ def __init__(self, prompt, timeout, default_var, timeout_message="\nTimeout!"):
 
     def get_input(self):
         """Get user input in a non-blocking manner."""
-        print(self.prompt, end='', flush=True)
+        print(self.prompt, end="", flush=True)
         while not self.stop_thread:
-            if keyboard.is_pressed('\n'):
+            if keyboard.is_pressed("\n"):
                 line = input()
                 if line:
                     self.input_queue.put(line.strip())
@@ -50,6 +51,7 @@ def run(self):
             self.user_input = self.input_queue.get()
             return {"user_input": self.user_input, "input_time": self.timeout, "default_var_used": False}
 
+
 # Example usage
 if __name__ == "__main__":
     timeout_input = TimeoutInput("Enter something: ", 5, "default", "\nTimeout from TimeoutInput!")

diff --git a/requirements.txt b/requirements.txt
@@ -5,6 +5,7 @@ hyperas==0.4.1
 imbalanced-learn==0.11.0
 keras==2.10.0
 keras-efficientnet-v2==1.2.2
+keyboard==0.13.5
 loguru==0.5.3
 matplotlib==3.7.2
 model-profiler==1.1.8