style: reformat assertion blocks in test files
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@@ -82,9 +82,9 @@ def _test_positive_values(component, W, component_name="Component"):
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f"W range: [{W_arr.min():.3f}, {W_arr.max():.3f}], "
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f"result range: [{np.nanmin(result):.6f}, {np.nanmax(result):.6f}]"
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)
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assert not np.any(
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np.isinf(result)
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), f"{component_name}: Inf values found in output."
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assert not np.any(np.isinf(result)), (
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f"{component_name}: Inf values found in output."
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)
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assert np.all(result > 0), (
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f"{component_name}: non-positive values found. "
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f"Min = {np.min(result):.10f} at W = {W_arr[np.argmin(result)][0]:.4f}"
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@@ -108,21 +108,20 @@ def _test_non_negative_values(
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W_arr = np.asarray(W, dtype=float)
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result = component(W_arr)
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assert not np.any(
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np.isnan(result)
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), f"{component_name}: NaN values found in output."
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assert not np.any(
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np.isinf(result)
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), f"{component_name}: Inf values found in output."
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assert not np.any(np.isnan(result)), (
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f"{component_name}: NaN values found in output."
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)
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assert not np.any(np.isinf(result)), (
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f"{component_name}: Inf values found in output."
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)
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if allow_zero:
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assert np.all(result >= 0), (
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f"{component_name}: negative values found. " f"Min = {np.min(result):.10f}"
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f"{component_name}: negative values found. Min = {np.min(result):.10f}"
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)
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else:
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assert np.all(result > 0), (
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f"{component_name}: non-positive values found. "
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f"Min = {np.min(result):.10f}"
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f"{component_name}: non-positive values found. Min = {np.min(result):.10f}"
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)
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@@ -137,12 +136,11 @@ def _test_output_shape_preserved(component, W, component_name="Component"):
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W_arr = np.asarray(W, dtype=float)
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result = component(W_arr)
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assert isinstance(
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result, np.ndarray
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), f"{component_name}: output is {type(result)}, expected np.ndarray"
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assert isinstance(result, np.ndarray), (
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f"{component_name}: output is {type(result)}, expected np.ndarray"
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)
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assert result.shape == W_arr.shape, (
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f"{component_name}: shape mismatch. "
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f"Input {W_arr.shape} → Output {result.shape}"
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f"{component_name}: shape mismatch. Input {W_arr.shape} → Output {result.shape}"
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)
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@@ -217,8 +215,7 @@ def _test_output_is_ndarray(component, W, component_name="Component"):
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result = component(W_arr)
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assert isinstance(result, np.ndarray), (
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f"{component_name}: output type is {type(result).__name__}, "
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f"expected np.ndarray"
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f"{component_name}: output type is {type(result).__name__}, expected np.ndarray"
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)
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