First version of CodeI/O reasoning data (#264)

* notebook for prepping first set of raw code files
* updated codeio processing notebook for repo-level processing
* fix for edge case in codeio scoring
* Add reformat notebook
* filtering pass
* add non-determinism filtering
* Tweak CodeIODataset & include first real data
* add basic codeio test, metadata

tests/test_codeio.py

@@ -0,0 +1,42 @@
+import pytest
+
+from reasoning_gym.code.codeio import CodeIOConfig, CodeIODataset
+
+
+def test_codeio_dataset():
+    # Create a small CodeI/O reasoning dataset
+    config = CodeIOConfig(size=10, seed=42)
+    dataset = CodeIODataset(config)
+
+    for i in range(10):
+        item = dataset[i]
+
+        assert isinstance(item, dict)
+        assert "question" in item
+        assert "answer" in item
+        assert "metadata" in item
+
+        assert "input_data" in item["metadata"]
+        assert "output_data" in item["metadata"]
+
+        # Score some correct and incorrect answers
+        score = dataset.score_answer(answer=item["answer"], entry=item)
+        assert score == 1.0
+        # Incorrect answer (None)
+        score = dataset.score_answer(answer=None, entry=item)
+        assert score == 0.00
+        # Incorrect answer (empty dict)
+        score = dataset.score_answer(answer="{}", entry=item)
+        assert score == 0.01
+
+
+def test_codeio_config():
+    # Test constraints on input probability
+    with pytest.raises(AssertionError):
+        CodeIOConfig(size=10, seed=42, input_prediction_probability=1.1).validate()
+
+    with pytest.raises(AssertionError):
+        CodeIOConfig(size=10, seed=42, input_prediction_probability=-0.1).validate()
+
+    CodeIOConfig(size=10, seed=42, input_prediction_probability=0.1).validate()
+    CodeIOConfig(size=10, seed=42, input_prediction_probability=0.9).validate()