From ebf66251d03c1a5bdb277aeb345f33b8d0637799 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Nguy=E1=BB=85n=20Ph=C6=B0=E1=BB=9Bc=20Th=C3=A0nh?=
 <93478665+Zeres-Engel@users.noreply.github.com>
Date: Thu, 4 Sep 2025 20:54:57 +0700
Subject: [PATCH] delte test code

---
 test_batch_loader.py | 63 --------------------------------------------
 1 file changed, 63 deletions(-)
 delete mode 100644 test_batch_loader.py

diff --git a/test_batch_loader.py b/test_batch_loader.py
deleted file mode 100644
index ec272a4..0000000
--- a/test_batch_loader.py
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for memory-efficient batch loader.
-"""
-
-import sys
-from pathlib import Path
-
-# Add src directory to path for imports
-sys.path.append(str(Path(__file__).parent / "src"))
-
-from src.batch_loader import MemoryEfficientBatchLoader, BatchProcessor
-from src.logger_config import setup_logging
-
-def test_batch_loader():
-    """Test the batch loader with sample functionality."""
-    
-    # Setup logging
-    logger = setup_logging(log_dir="logs", log_level="INFO")
-    
-    # Test configuration
-    batch_size = 4
-    max_image_size = (512, 512)
-    
-    # Create batch loader
-    loader = MemoryEfficientBatchLoader(
-        batch_size=batch_size,
-        max_image_size=max_image_size,
-        enable_memory_monitoring=True
-    )
-    
-    # Show initial memory stats
-    memory_stats = loader.get_memory_stats()
-    logger.info(f"Initial memory stats: {memory_stats}")
-    
-    # Sample image paths (for testing - these would be real image paths)
-    sample_image_paths = [
-        f"/home/nguyendc/thanh-dev/IQA-Metric-Benchmark/data/task/cni/images/image_{i}.png" 
-        for i in range(10)
-    ]
-    
-    # Test batch creation
-    batches = list(loader.create_batches(sample_image_paths))
-    logger.info(f"Created {len(batches)} batches from {len(sample_image_paths)} images")
-    for i, batch in enumerate(batches):
-        logger.info(f"Batch {i+1}: {len(batch)} images")
-    
-    # Mock scoring function for testing
-    def mock_scoring_function(images):
-        """Mock function that returns random scores."""
-        import random
-        return [random.uniform(1.0, 5.0) for _ in images]
-    
-    # Test processing a single batch (with mock data)
-    if batches:
-        logger.info("Testing batch processing with mock data...")
-        # Note: This will fail with actual file paths that don't exist
-        # but demonstrates the interface
-    
-    logger.info("Batch loader test completed!")
-
-if __name__ == "__main__":
-    test_batch_loader()