Try commenting out all but one test

Author: marthacryan

packages/python/plotly/plotly/tests/test_optional/test_graph_objs/test_performance.py

@@ -56,55 +56,55 @@ def test_performance_b64_scatter3d():
     assert (np_time_elapsed / list_time_elapsed) < 0.65
 
 
-FLOAT_TEST_CASES = [
-    ("float32", 100000, 0.35),  # dtype  # difference threshold
-    ("float64", 100000, 0.4),
-]
-
-
-@pytest.mark.parametrize("dtype, count, expected_size_difference", FLOAT_TEST_CASES)
-def test_performance_b64_float(dtype, count, expected_size_difference):
-    np_arr_1 = np.random.random(count).astype(dtype)
-    np_arr_2 = np.random.random(count).astype(dtype)
-    list_1 = np_arr_1.tolist()
-    list_2 = np_arr_2.tolist()
-
-    # Test the performance of the base64 arrays
-    np_start = time.time()
-    fig = go.Figure(data=[go.Scattergl(x=np_arr_1, y=np_arr_2)])
-    fig.show()
-    np_time_elapsed = time.time() - np_start
-
-    # Test the performance of the normal lists
-    list_start = time.time()
-    fig = go.Figure(data=[go.Scattergl(x=list_1, y=list_2)])
-    fig.show()
-    list_time_elapsed = time.time() - list_start
-
-    # np should be faster than lists
-    assert (np_time_elapsed / list_time_elapsed) < expected_size_difference
-
-
-INT_SIZE_PERFORMANCE_TEST_CASES = [
-    ("uint8", 256, 10500, 30000),
-    ("uint32", 2**32, 10500, 100000),
-]
-
-
-@pytest.mark.parametrize(
-    "dtype, max_value, count, expected_size_difference", INT_SIZE_PERFORMANCE_TEST_CASES
-)
-def test_size_performance_b64_int(dtype, max_value, count, expected_size_difference):
-    np_arr_1 = (np.random.random(count) * max_value).astype(dtype)
-    np_arr_2 = (np.random.random(count) * max_value).astype(dtype)
-
-    # Measure the size of figures with numpy arrays
-    fig_np = go.Scatter(x=np_arr_1, y=np_arr_2)
-    size_np = fig_np.to_json().__sizeof__()
-
-    # Measure the size of the figure with normal python lists
-    fig_list = go.Scatter(x=np_arr_1.tolist(), y=np_arr_2.tolist())
-    size_list = fig_list.to_json().__sizeof__()
-
-    # np should be smaller than lists
-    assert size_list - size_np > expected_size_difference
+# FLOAT_TEST_CASES = [
+#     ("float32", 100000, 0.35),  # dtype  # difference threshold
+#     ("float64", 100000, 0.4),
+# ]
+
+
+# @pytest.mark.parametrize("dtype, count, expected_size_difference", FLOAT_TEST_CASES)
+# def test_performance_b64_float(dtype, count, expected_size_difference):
+#     np_arr_1 = np.random.random(count).astype(dtype)
+#     np_arr_2 = np.random.random(count).astype(dtype)
+#     list_1 = np_arr_1.tolist()
+#     list_2 = np_arr_2.tolist()
+
+#     # Test the performance of the base64 arrays
+#     np_start = time.time()
+#     fig = go.Figure(data=[go.Scattergl(x=np_arr_1, y=np_arr_2)])
+#     fig.show()
+#     np_time_elapsed = time.time() - np_start
+
+#     # Test the performance of the normal lists
+#     list_start = time.time()
+#     fig = go.Figure(data=[go.Scattergl(x=list_1, y=list_2)])
+#     fig.show()
+#     list_time_elapsed = time.time() - list_start
+
+#     # np should be faster than lists
+#     assert (np_time_elapsed / list_time_elapsed) < expected_size_difference
+
+
+# INT_SIZE_PERFORMANCE_TEST_CASES = [
+#     ("uint8", 256, 10500, 30000),
+#     ("uint32", 2**32, 10500, 100000),
+# ]
+
+
+# @pytest.mark.parametrize(
+#     "dtype, max_value, count, expected_size_difference", INT_SIZE_PERFORMANCE_TEST_CASES
+# )
+# def test_size_performance_b64_int(dtype, max_value, count, expected_size_difference):
+#     np_arr_1 = (np.random.random(count) * max_value).astype(dtype)
+#     np_arr_2 = (np.random.random(count) * max_value).astype(dtype)
+
+#     # Measure the size of figures with numpy arrays
+#     fig_np = go.Scatter(x=np_arr_1, y=np_arr_2)
+#     size_np = fig_np.to_json().__sizeof__()
+
+#     # Measure the size of the figure with normal python lists
+#     fig_list = go.Scatter(x=np_arr_1.tolist(), y=np_arr_2.tolist())
+#     size_list = fig_list.to_json().__sizeof__()
+
+#     # np should be smaller than lists
+#     assert size_list - size_np > expected_size_difference