update ata

bigcode-project · Apr 14, 2024 · 08a3199 · 08a3199
1 parent b480156
commit 08a3199
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Showing 15 changed files with 315 additions and 315 deletions.
diff --git a/data/clean/f_357_jenny.py b/data/clean/f_357_jenny.py
@@ -31,8 +31,8 @@ def f_357(n_samples=100, n_features=10, random_seed=None):
     >>> predictions, coefficients, intercept, mse = f_357(100, 5, random_seed=42)
     >>> predictions[:3]
     array([ 180.79207843, -295.0210232 ,  118.23799221])
-    >>> mse
-    0.011344800318058566
+    >>> round(mse, 4)
+    0.0113
     """
     # Generate synthetic data
     X, y = datasets.make_regression(
@@ -130,7 +130,7 @@ def test_case_5(self):
         self.assertEqual(
             predictions.shape[0], 20000
         )  # 20% of 100000 samples for testing
-        self.assertEqual(mse, 0.010142327812255192)
+        self.assertAlmostEqual(mse, 0.010142327812255192, places=4)
 
     def test_case_6(self):
         # Test output shapes

diff --git a/data/open-eval.jsonl b/data/open-eval.jsonl
diff --git a/data/processed/f_357_jenny_w_doc.py b/data/processed/f_357_jenny_w_doc.py
@@ -31,8 +31,8 @@ def f_357(n_samples=100, n_features=10, random_seed=None):
     >>> predictions, coefficients, intercept, mse = f_357(100, 5, random_seed=42)
     >>> predictions[:3]
     array([ 180.79207843, -295.0210232 ,  118.23799221])
-    >>> mse
-    0.011344800318058566
+    >>> round(mse, 4)
+    0.0113
     """
     # Generate synthetic data
     X, y = datasets.make_regression(
@@ -124,7 +124,7 @@ def test_case_5(self):
         self.assertEqual(
             predictions.shape[0], 20000
         )  # 20% of 100000 samples for testing
-        self.assertEqual(mse, 0.010142327812255192)
+        self.assertAlmostEqual(mse, 0.010142327812255192, places=4)
 
     def test_case_6(self):
         # Test output shapes

diff --git a/data/processed/f_382_jenny_w_doc.py → data/processed/f_382_jenny_wo_doc.py b/data/processed/f_382_jenny_w_doc.py → data/processed/f_382_jenny_wo_doc.py
diff --git a/data/processed/f_384_jenny_w_doc.py → data/processed/f_384_jenny_wo_doc.py b/data/processed/f_384_jenny_w_doc.py → data/processed/f_384_jenny_wo_doc.py
diff --git a/data/processed/f_386_jenny_w_doc.py → data/processed/f_386_jenny_wo_doc.py b/data/processed/f_386_jenny_w_doc.py → data/processed/f_386_jenny_wo_doc.py
diff --git a/data/processed/f_391_jenny_w_doc.py → data/processed/f_391_jenny_wo_doc.py b/data/processed/f_391_jenny_w_doc.py → data/processed/f_391_jenny_wo_doc.py
diff --git a/data/processed/f_735_wenhao_w_doc.py → data/processed/f_735_wenhao_wo_doc.py b/data/processed/f_735_wenhao_w_doc.py → data/processed/f_735_wenhao_wo_doc.py
diff --git a/data/processed/f_790_wenhao_w_doc.py → data/processed/f_790_wenhao_wo_doc.py b/data/processed/f_790_wenhao_w_doc.py → data/processed/f_790_wenhao_wo_doc.py
diff --git a/data/processed/f_795_wenhao_w_doc.py → data/processed/f_795_wenhao_wo_doc.py b/data/processed/f_795_wenhao_w_doc.py → data/processed/f_795_wenhao_wo_doc.py
diff --git a/data/processed/f_824_wenhao_w_doc.py → data/processed/f_824_wenhao_wo_doc.py b/data/processed/f_824_wenhao_w_doc.py → data/processed/f_824_wenhao_wo_doc.py
diff --git a/data/processed/f_890_chien_w_doc.py → data/processed/f_890_chien_wo_doc.py b/data/processed/f_890_chien_w_doc.py → data/processed/f_890_chien_wo_doc.py
diff --git a/data/processed/f_891_chien_w_doc.py → data/processed/f_891_chien_wo_doc.py b/data/processed/f_891_chien_w_doc.py → data/processed/f_891_chien_wo_doc.py
diff --git a/data/processed/f_892_chien_w_doc.py → data/processed/f_892_chien_wo_doc.py b/data/processed/f_892_chien_w_doc.py → data/processed/f_892_chien_wo_doc.py
diff --git a/data/raw/f_357_jenny.py b/data/raw/f_357_jenny.py
@@ -31,8 +31,8 @@ def f_357(n_samples=100, n_features=10, random_seed=None):
     >>> predictions, coefficients, intercept, mse = f_357(100, 5, random_seed=42)
     >>> predictions[:3]
     array([ 180.79207843, -295.0210232 ,  118.23799221])
-    >>> mse
-    0.011344800318058566
+    >>> round(mse, 4)
+    0.0113
     """
     # Generate synthetic data
     X, y = datasets.make_regression(
@@ -130,7 +130,7 @@ def test_case_5(self):
         self.assertEqual(
             predictions.shape[0], 20000
         )  # 20% of 100000 samples for testing
-        self.assertEqual(mse, 0.010142327812255192)
+        self.assertAlmostEqual(mse, 0.010142327812255192, places=4)
 
     def test_case_6(self):
         # Test output shapes