From ca6515efaeda866c60f7ac4144fe96205d51588e Mon Sep 17 00:00:00 2001
From: Vijay Janapa Reddi <vj@eecs.harvard.edu>
Date: Sun, 20 Jul 2025 09:25:38 -0400
Subject: [PATCH] =?UTF-8?q?=E2=9C=85=20Fix=2002=5Ftensor:=20Correct=20patt?=
 =?UTF-8?q?ern=20-=20Tests=20=E2=86=92=20STANDARDIZED=20MODULE=20TESTING?=
 =?UTF-8?q?=20=E2=86=92=20Module=20Summary?=
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CORRECT PATTERN NOW:
1. ✅ Unit tests (test_unit_tensor_creation, test_unit_tensor_properties, test_unit_tensor_arithmetic)
2. ✅ ## 🧪 Module Testing
3. ✅ STANDARDIZED MODULE TESTING cell
4. ✅ run_module_tests_auto call
5. ✅ ## 🎯 Module Summary (immediately after, no code between)

✅ Moved test functions from after run_module_tests_auto to before ## 🧪 Module Testing
✅ Removed duplicate test functions from wrong location
✅ Clean separation: Tests → Testing → Summary
✅ No code between STANDARDIZED MODULE TESTING and Module Summary
---
 modules/source/02_tensor/tensor_dev.py | 42 +++++++++++++-------------
 1 file changed, 21 insertions(+), 21 deletions(-)

diff --git a/modules/source/02_tensor/tensor_dev.py b/modules/source/02_tensor/tensor_dev.py
index b518ab01..2c318708 100644
--- a/modules/source/02_tensor/tensor_dev.py
+++ b/modules/source/02_tensor/tensor_dev.py
@@ -815,27 +815,6 @@ Congratulations! You've successfully implemented the core Tensor class for TinyT
 **Ready for the next challenge?** Let's add the mathematical functions that make neural networks powerful!
 """
 
-# %% [markdown]
-"""
-## 🧪 Module Testing
-
-Time to test your implementation! This section uses TinyTorch's standardized testing framework to ensure your implementation works correctly.
-
-**This testing section is locked** - it provides consistent feedback across all modules and cannot be modified.
-"""
-
-# %% nbgrader={"grade": false, "grade_id": "standardized-testing", "locked": true, "schema_version": 3, "solution": false, "task": false}
-# =============================================================================
-# STANDARDIZED MODULE TESTING - DO NOT MODIFY
-# This cell is locked to ensure consistent testing across all TinyTorch modules
-# =============================================================================
-
-if __name__ == "__main__":
-    from tito.tools.testing import run_module_tests_auto
-    
-    # Automatically discover and run all tests in this module
-    success = run_module_tests_auto("Tensor")
-
 # %%
 def test_unit_tensor_creation():
     """Comprehensive test of tensor creation with all data types and shapes."""
@@ -903,6 +882,27 @@ def test_unit_tensor_arithmetic():
     assert np.allclose(f.data, expected)
     print("✅ Tensor arithmetic tests passed!")
 
+# %% [markdown]
+"""
+## 🧪 Module Testing
+
+Time to test your implementation! This section uses TinyTorch's standardized testing framework to ensure your implementation works correctly.
+
+**This testing section is locked** - it provides consistent feedback across all modules and cannot be modified.
+"""
+
+# %% nbgrader={"grade": false, "grade_id": "standardized-testing", "locked": true, "schema_version": 3, "solution": false, "task": false}
+# =============================================================================
+# STANDARDIZED MODULE TESTING - DO NOT MODIFY
+# This cell is locked to ensure consistent testing across all TinyTorch modules
+# =============================================================================
+
+if __name__ == "__main__":
+    from tito.tools.testing import run_module_tests_auto
+    
+    # Automatically discover and run all tests in this module
+    success = run_module_tests_auto("Tensor")
+
 # %% [markdown]
 """
 ## 🎯 Module Summary: Tensor Foundation Mastery!