diff --git a/.gitignore b/.gitignore
index 85fa4ef..87797e7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -128,6 +128,13 @@ dmypy.json
 # Pyre type checker
 .pyre/
 
+# IDE files
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
 # Datasets
 data/
 logs/
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..5a1d054
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,2918 @@
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+
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..cf1b9ab
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,86 @@
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+
+[tool.poetry.group.dev.dependencies]
+pytest = "^7.4.0"
+pytest-cov = "^4.1.0"
+pytest-mock = "^3.11.0"
+
+# Scripts will be run with poetry run command
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = ["test_*.py", "*_test.py"]
+python_classes = ["Test*"]
+python_functions = ["test_*"]
+addopts = [
+    "--strict-markers",
+    "--strict-config",
+    "--verbose",
+    "--cov=.",
+    "--cov-report=term-missing",
+    "--cov-report=html:htmlcov",
+    "--cov-report=xml:coverage.xml",
+    "--cov-fail-under=80"
+]
+markers = [
+    "unit: Unit tests",
+    "integration: Integration tests", 
+    "slow: Slow running tests"
+]
+filterwarnings = [
+    "ignore::DeprecationWarning",
+    "ignore::PendingDeprecationWarning"
+]
+
+[tool.coverage.run]
+source = ["."]
+omit = [
+    "tests/*",
+    "scripts/*",
+    "configs/*",
+    "*/test_*",
+    "*/__pycache__/*",
+    "*/venv/*",
+    "*/.venv/*"
+]
+
+[tool.coverage.report]
+exclude_lines = [
+    "pragma: no cover",
+    "def __repr__",
+    "if __name__ == .__main__.:",
+    "raise AssertionError",
+    "raise NotImplementedError",
+    "if 0:",
+    "if False:",
+    "class .*\\bProtocol\\):",
+    "@(abc\\.)?abstractmethod"
+]
+show_missing = true
+precision = 2
+
+[tool.coverage.html]
+directory = "htmlcov"
+
+[tool.coverage.xml]
+output = "coverage.xml"
\ No newline at end of file
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..0158825
--- /dev/null
+++ b/tests/__init__.py
@@ -0,0 +1 @@
+# HashNeRF Testing Package
\ No newline at end of file
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000..f034ef7
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,163 @@
+"""Shared pytest fixtures for HashNeRF testing."""
+
+import os
+import tempfile
+import pytest
+import torch
+import numpy as np
+from pathlib import Path
+
+
+@pytest.fixture
+def temp_dir():
+    """Create a temporary directory for testing."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        yield Path(tmpdir)
+
+
+@pytest.fixture
+def device():
+    """Get the appropriate device for testing."""
+    return torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+
+@pytest.fixture
+def sample_config():
+    """Sample configuration for testing."""
+    return {
+        'datadir': './data/nerf_synthetic/lego',
+        'dataset_type': 'blender',
+        'white_bkgd': True,
+        'half_res': True,
+        'testskip': 8,
+        'N_samples': 64,
+        'N_importance': 64,
+        'use_viewdirs': True,
+        'raw_noise_std': 0.0,
+        'lrate': 5e-4,
+        'lrate_decay': 250,
+        'chunk': 1024*32,
+        'netchunk': 1024*64,
+        'no_batching': True,
+        'no_reload': False,
+        'ft_path': None,
+        'N_iters': 200000,
+        'i_print': 100,
+        'i_img': 500,
+        'i_weights': 10000,
+        'i_testset': 50000,
+        'i_video': 50000,
+        'N_rand': 1024,
+        'precrop_iters': 0,
+        'precrop_frac': 0.5,
+        'multires': 10,
+        'multires_views': 4,
+        'netdepth': 8,
+        'netwidth': 256,
+        'netdepth_fine': 8,
+        'netwidth_fine': 256,
+        'perturb': 1.0,
+        'lindisp': False,
+        'i_embed': 0,
+        'render_only': False,
+        'render_test': False,
+        'render_factor': 0,
+        'expname': 'test',
+        'basedir': './logs',
+        'factor': 8,
+        'no_ndc': True,
+        'spherify': False,
+        'llffhold': 8,
+        'bound': 1.5,
+        'finest_res': 512,
+        'log2_hashmap_size': 19,
+        'lrate_hash': 1e-2,
+        'hash_levels': 16,
+        'hash_features': 2
+    }
+
+
+@pytest.fixture
+def sample_bounding_box():
+    """Sample bounding box for testing."""
+    return torch.tensor([[-1.0, -1.0, -1.0], [1.0, 1.0, 1.0]], dtype=torch.float32)
+
+
+@pytest.fixture
+def sample_rays():
+    """Sample ray data for testing."""
+    batch_size = 1024
+    rays_o = torch.randn(batch_size, 3)
+    rays_d = torch.randn(batch_size, 3)
+    rays_d = rays_d / torch.norm(rays_d, dim=-1, keepdim=True)  # normalize
+    return rays_o, rays_d
+
+
+@pytest.fixture
+def sample_points():
+    """Sample 3D points for testing."""
+    return torch.randn(1000, 3)
+
+
+@pytest.fixture
+def sample_image_data():
+    """Sample image data for testing."""
+    height, width = 100, 100
+    images = np.random.rand(10, height, width, 3).astype(np.float32)
+    poses = np.random.rand(10, 4, 4).astype(np.float32)
+    hwf = [height, width, 100.0]  # focal length
+    return images, poses, hwf
+
+
+@pytest.fixture
+def mock_config_file(temp_dir):
+    """Create a mock config file for testing."""
+    config_content = """expname = test_experiment
+basedir = ./logs
+datadir = ./data/nerf_synthetic/lego
+dataset_type = blender
+white_bkgd = True
+half_res = True
+testskip = 8
+"""
+    config_file = temp_dir / "test_config.txt"
+    config_file.write_text(config_content)
+    return str(config_file)
+
+
+@pytest.fixture
+def mock_nerf_model():
+    """Mock NeRF model for testing."""
+    import torch.nn as nn
+    
+    class MockNeRF(nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.linear = nn.Linear(63, 4)  # 63 = 3*21 for position encoding
+            
+        def forward(self, x):
+            return self.linear(x)
+    
+    return MockNeRF()
+
+
+@pytest.fixture(autouse=True)
+def set_random_seeds():
+    """Set random seeds for reproducible tests."""
+    torch.manual_seed(42)
+    np.random.seed(42)
+
+
+@pytest.fixture
+def suppress_warnings():
+    """Suppress common warnings during testing."""
+    import warnings
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore")
+        yield
+
+
+@pytest.fixture(scope="session")
+def test_data_dir():
+    """Directory for test data files."""
+    return Path(__file__).parent / "test_data"
\ No newline at end of file
diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py
new file mode 100644
index 0000000..389033a
--- /dev/null
+++ b/tests/integration/__init__.py
@@ -0,0 +1 @@
+# Integration Tests Package
\ No newline at end of file
diff --git a/tests/integration/test_sample_integration.py b/tests/integration/test_sample_integration.py
new file mode 100644
index 0000000..156fee3
--- /dev/null
+++ b/tests/integration/test_sample_integration.py
@@ -0,0 +1,30 @@
+"""Sample integration test to validate integration testing structure."""
+
+import pytest
+import torch
+
+
+@pytest.mark.integration
+def test_torch_cuda_integration():
+    """Test PyTorch CUDA integration (if available)."""
+    if torch.cuda.is_available():
+        device = torch.device("cuda")
+        tensor = torch.tensor([1.0, 2.0, 3.0]).to(device)
+        result = tensor * 2
+        expected = torch.tensor([2.0, 4.0, 6.0]).to(device)
+        assert torch.allclose(result, expected)
+    else:
+        pytest.skip("CUDA not available")
+
+
+@pytest.mark.integration
+def test_model_device_integration(device, mock_nerf_model):
+    """Test model and device integration."""
+    model = mock_nerf_model.to(device)
+    input_tensor = torch.randn(5, 63).to(device)
+    
+    with torch.no_grad():
+        output = model(input_tensor)
+    
+    assert output.device == device
+    assert output.shape == (5, 4)
\ No newline at end of file
diff --git a/tests/test_infrastructure.py b/tests/test_infrastructure.py
new file mode 100644
index 0000000..2a66f3f
--- /dev/null
+++ b/tests/test_infrastructure.py
@@ -0,0 +1,134 @@
+"""Test to validate the testing infrastructure setup."""
+
+import pytest
+import torch
+import numpy as np
+from pathlib import Path
+
+
+def test_pytest_working():
+    """Test that pytest is working correctly."""
+    assert True
+
+
+def test_torch_available():
+    """Test that PyTorch is available and working."""
+    tensor = torch.tensor([1, 2, 3])
+    assert tensor.sum() == 6
+
+
+def test_numpy_available():
+    """Test that NumPy is available and working."""
+    array = np.array([1, 2, 3])
+    assert array.sum() == 6
+
+
+def test_cuda_detection():
+    """Test CUDA detection (should work whether CUDA is available or not)."""
+    cuda_available = torch.cuda.is_available()
+    assert isinstance(cuda_available, bool)
+
+
+def test_fixtures_working(temp_dir, device, sample_config):
+    """Test that shared fixtures are working."""
+    # Test temp directory fixture
+    assert temp_dir.exists()
+    assert temp_dir.is_dir()
+    
+    # Test device fixture
+    assert isinstance(device, torch.device)
+    
+    # Test config fixture
+    assert isinstance(sample_config, dict)
+    assert 'datadir' in sample_config
+    assert 'dataset_type' in sample_config
+
+
+def test_bounding_box_fixture(sample_bounding_box):
+    """Test bounding box fixture."""
+    assert sample_bounding_box.shape == (2, 3)
+    assert torch.is_tensor(sample_bounding_box)
+
+
+def test_rays_fixture(sample_rays):
+    """Test rays fixture."""
+    rays_o, rays_d = sample_rays
+    assert rays_o.shape[1] == 3  # Origin vectors
+    assert rays_d.shape[1] == 3  # Direction vectors
+    assert rays_o.shape[0] == rays_d.shape[0]  # Same batch size
+    
+    # Check that direction vectors are normalized
+    norms = torch.norm(rays_d, dim=-1)
+    assert torch.allclose(norms, torch.ones_like(norms), atol=1e-6)
+
+
+def test_points_fixture(sample_points):
+    """Test points fixture."""
+    assert sample_points.shape[1] == 3
+    assert torch.is_tensor(sample_points)
+
+
+def test_image_data_fixture(sample_image_data):
+    """Test image data fixture."""
+    images, poses, hwf = sample_image_data
+    assert images.shape[-1] == 3  # RGB channels
+    assert poses.shape[-2:] == (4, 4)  # 4x4 transformation matrices
+    assert len(hwf) == 3  # Height, width, focal length
+
+
+def test_mock_nerf_model(mock_nerf_model):
+    """Test mock NeRF model fixture."""
+    # Test forward pass
+    input_tensor = torch.randn(10, 63)
+    output = mock_nerf_model(input_tensor)
+    assert output.shape == (10, 4)
+
+
+@pytest.mark.unit
+def test_unit_marker():
+    """Test that unit marker works."""
+    assert True
+
+
+@pytest.mark.integration
+def test_integration_marker():
+    """Test that integration marker works."""
+    assert True
+
+
+@pytest.mark.slow
+def test_slow_marker():
+    """Test that slow marker works."""
+    import time
+    time.sleep(0.1)  # Small delay to simulate slow test
+    assert True
+
+
+def test_project_structure():
+    """Test that project structure is correct."""
+    project_root = Path(__file__).parent.parent
+    
+    # Check main files exist
+    assert (project_root / "pyproject.toml").exists()
+    assert (project_root / "run_nerf.py").exists()
+    assert (project_root / "hash_encoding.py").exists()
+    
+    # Check test structure
+    tests_dir = project_root / "tests"
+    assert tests_dir.exists()
+    assert (tests_dir / "__init__.py").exists()
+    assert (tests_dir / "conftest.py").exists()
+    assert (tests_dir / "unit" / "__init__.py").exists()
+    assert (tests_dir / "integration" / "__init__.py").exists()
+
+
+class TestInfrastructureClass:
+    """Test class to verify class-based testing works."""
+    
+    def test_class_method(self):
+        """Test method within a test class."""
+        assert True
+    
+    def test_class_with_fixture(self, device):
+        """Test class method with fixture."""
+        assert isinstance(device, torch.device)
\ No newline at end of file
diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py
new file mode 100644
index 0000000..8dd5442
--- /dev/null
+++ b/tests/unit/__init__.py
@@ -0,0 +1 @@
+# Unit Tests Package
\ No newline at end of file
diff --git a/tests/unit/test_sample_unit.py b/tests/unit/test_sample_unit.py
new file mode 100644
index 0000000..98ce244
--- /dev/null
+++ b/tests/unit/test_sample_unit.py
@@ -0,0 +1,34 @@
+"""Sample unit test to validate unit testing structure."""
+
+import pytest
+import torch
+import numpy as np
+
+
+@pytest.mark.unit
+def test_tensor_operations():
+    """Test basic tensor operations."""
+    a = torch.tensor([1.0, 2.0, 3.0])
+    b = torch.tensor([4.0, 5.0, 6.0])
+    result = a + b
+    expected = torch.tensor([5.0, 7.0, 9.0])
+    assert torch.allclose(result, expected)
+
+
+@pytest.mark.unit
+def test_numpy_operations():
+    """Test basic numpy operations."""
+    a = np.array([1, 2, 3])
+    b = np.array([4, 5, 6])
+    result = np.dot(a, b)
+    expected = 32  # 1*4 + 2*5 + 3*6
+    assert result == expected
+
+
+@pytest.mark.unit
+def test_with_mock(mocker):
+    """Test using pytest-mock functionality."""
+    mock_func = mocker.Mock(return_value=42)
+    result = mock_func("test_arg")
+    assert result == 42
+    mock_func.assert_called_once_with("test_arg")
\ No newline at end of file