start implementation

src/config_parser.py

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+import yaml
+
+import logging
+
+
+
+class ExperimentConfig:
+    def __init__(self, config_file: str):
+        """
+        Initialize the ExperimentConfig with a configuration dictionary.
+        
+        :param config: Configuration dictionary.
+        """
+        self.config = self.load_yaml(config_file)
+        
+
+    @classmethod
+    def load_yaml(cls, file_path: str) -> dict:
+        """Load a YAML file and return its content.
+    
+        Args:
+            file_path (str): Path to the YAML file.
+        
+        Returns:
+            dict: Parsed content of the YAML file.
+        """
+        with open(file_path, 'r') as file:
+            return yaml.safe_load(file)
+    
+    def _setup_logging(self):
+        """Set up logging based on the configuration."""
+        log_level = self.config.get('general', {}).get('log_level', 'INFO').upper()
+        log_file = self.config.get('general', {}).get('log_file', None)
+        
+        log_handlers = [logging.StreamHandler()]  # Default to console logging
+        if log_file:
+            log_handlers.append(logging.FileHandler(log_file))
+        
+        logging.basicConfig(
+            level=log_level,
+            format="%(asctime)s.%(msecs)03d %(levelname)s - %(funcName)s: %(message)s",
+            datefmt="%Y-%m-%d %H:%M:%S",
+            handlers=log_handlers
+        )

src/interfaces.py

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+
+
+class ModuleInterface:
+    """
+    Interface for modules in the EEG Code Research Tool.
+    """
+
+    def run(self, *args, **kwargs):
+        """
+        Run the module with the provided arguments.
+        """
+        raise NotImplementedError("Subclasses must implement this method.")
+
+    def get_config(self) -> dict:
+        """
+        Get the configuration of the module.
+        """
+        raise NotImplementedError("Subclasses must implement this method.")
+    

src/model_loader.py

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+
+
+