Merge pull request #285 from bobleesj/do-ops

Refactor `__add__` operation in `DiffractionObject` and add tests

news/add-operations-tests.rst

@@ -0,0 +1,23 @@
+**Added:**
+
+* unit tests for __add__ operation for DiffractionObject
+
+**Changed:**
+
+* <news item>
+
+**Deprecated:**
+
+* <news item>
+
+**Removed:**
+
+* <news item>
+
+**Fixed:**
+
+* <news item>
+
+**Security:**
+
+* <news item>

src/diffpy/utils/diffraction_objects.py

@@ -14,9 +14,15 @@
 XQUANTITIES = ANGLEQUANTITIES + DQUANTITIES + QQUANTITIES
 XUNITS = ["degrees", "radians", "rad", "deg", "inv_angs", "inv_nm", "nm-1", "A-1"]
 
-x_grid_emsg = (
-    "objects are not on the same x-grid. You may add them using the self.add method "
-    "and specifying how to handle the mismatch."
+y_grid_length_mismatch_emsg = (
+    "The two objects have different y-array lengths. "
+    "Please ensure the length of the y-value during initialization is identical."
+)
+
+invalid_add_type_emsg = (
+    "You may only add a DiffractionObject with another DiffractionObject or a scalar value. "
+    "Please rerun by adding another DiffractionObject instance or a scalar value. "
+    "e.g., my_do_1 + my_do_2 or my_do + 10 or 10 + my_do"
 )
 
 
@@ -169,32 +175,56 @@ def __eq__(self, other):
         return True
 
     def __add__(self, other):
-        summed = deepcopy(self)
-        if isinstance(other, int) or isinstance(other, float) or isinstance(other, np.ndarray):
-            summed.on_tth[1] = self.on_tth[1] + other
-            summed.on_q[1] = self.on_q[1] + other
-        elif not isinstance(other, DiffractionObject):
-            raise TypeError("I only know how to sum two DiffractionObject objects")
-        elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
-        else:
-            summed.on_tth[1] = self.on_tth[1] + other.on_tth[1]
-            summed.on_q[1] = self.on_q[1] + other.on_q[1]
-        return summed
+        """Add a scalar value or another DiffractionObject to the yarray of the
+        DiffractionObject.
 
-    def __radd__(self, other):
-        summed = deepcopy(self)
-        if isinstance(other, int) or isinstance(other, float) or isinstance(other, np.ndarray):
-            summed.on_tth[1] = self.on_tth[1] + other
-            summed.on_q[1] = self.on_q[1] + other
-        elif not isinstance(other, DiffractionObject):
-            raise TypeError("I only know how to sum two Scattering_object objects")
-        elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
-        else:
-            summed.on_tth[1] = self.on_tth[1] + other.on_tth[1]
-            summed.on_q[1] = self.on_q[1] + other.on_q[1]
-        return summed
+        Parameters
+        ----------
+        other : DiffractionObject or int or float
+            The object to add to the current DiffractionObject. If `other` is a scalar value,
+            it will be added to all yarray. The length of the yarray must match if `other` is
+            an instance of DiffractionObject.
+
+        Returns
+        -------
+        DiffractionObject
+            The new and deep-copied DiffractionObject instance after adding values to the yarray.
+
+        Raises
+        ------
+        ValueError
+            Raised when the length of the yarray of the two DiffractionObject instances do not match.
+        TypeError
+            Raised when the type of `other` is not an instance of DiffractionObject, int, or float.
+
+        Examples
+        --------
+        Add a scalar value to the yarray of the DiffractionObject instance:
+        >>> new_do = my_do + 10.1
+        >>> new_do = 10.1 + my_do
+
+        Add the yarray of two DiffractionObject instances:
+        >>> new_do = my_do_1 + my_do_2
+        """
+
+        self._check_operation_compatibility(other)
+        summed_do = deepcopy(self)
+        if isinstance(other, (int, float)):
+            summed_do._all_arrays[:, 0] += other
+        if isinstance(other, DiffractionObject):
+            summed_do._all_arrays[:, 0] += other.all_arrays[:, 0]
+        return summed_do
+
+    __radd__ = __add__
+
+    def _check_operation_compatibility(self, other):
+        if not isinstance(other, (DiffractionObject, int, float)):
+            raise TypeError(invalid_add_type_emsg)
+        if isinstance(other, DiffractionObject):
+            self_yarray = self.all_arrays[:, 0]
+            other_yarray = other.all_arrays[:, 0]
+            if len(self_yarray) != len(other_yarray):
+                raise ValueError(y_grid_length_mismatch_emsg)
 
     def __sub__(self, other):
         subtracted = deepcopy(self)
@@ -204,7 +234,7 @@ def __sub__(self, other):
         elif not isinstance(other, DiffractionObject):
             raise TypeError("I only know how to subtract two Scattering_object objects")
         elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
+            raise RuntimeError(y_grid_length_mismatch_emsg)
         else:
             subtracted.on_tth[1] = self.on_tth[1] - other.on_tth[1]
             subtracted.on_q[1] = self.on_q[1] - other.on_q[1]
@@ -218,7 +248,7 @@ def __rsub__(self, other):
         elif not isinstance(other, DiffractionObject):
             raise TypeError("I only know how to subtract two Scattering_object objects")
         elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
+            raise RuntimeError(y_grid_length_mismatch_emsg)
         else:
             subtracted.on_tth[1] = other.on_tth[1] - self.on_tth[1]
             subtracted.on_q[1] = other.on_q[1] - self.on_q[1]
@@ -232,7 +262,7 @@ def __mul__(self, other):
         elif not isinstance(other, DiffractionObject):
             raise TypeError("I only know how to multiply two Scattering_object objects")
         elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
+            raise RuntimeError(y_grid_length_mismatch_emsg)
         else:
             multiplied.on_tth[1] = self.on_tth[1] * other.on_tth[1]
             multiplied.on_q[1] = self.on_q[1] * other.on_q[1]
@@ -244,7 +274,7 @@ def __rmul__(self, other):
             multiplied.on_tth[1] = other * self.on_tth[1]
             multiplied.on_q[1] = other * self.on_q[1]
         elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
+            raise RuntimeError(y_grid_length_mismatch_emsg)
         else:
             multiplied.on_tth[1] = self.on_tth[1] * other.on_tth[1]
             multiplied.on_q[1] = self.on_q[1] * other.on_q[1]
@@ -258,7 +288,7 @@ def __truediv__(self, other):
         elif not isinstance(other, DiffractionObject):
             raise TypeError("I only know how to multiply two Scattering_object objects")
         elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
+            raise RuntimeError(y_grid_length_mismatch_emsg)
         else:
             divided.on_tth[1] = self.on_tth[1] / other.on_tth[1]
             divided.on_q[1] = self.on_q[1] / other.on_q[1]
@@ -270,7 +300,7 @@ def __rtruediv__(self, other):
             divided.on_tth[1] = other / self.on_tth[1]
             divided.on_q[1] = other / self.on_q[1]
         elif self.on_tth[0].all() != other.on_tth[0].all():
-            raise RuntimeError(x_grid_emsg)
+            raise RuntimeError(y_grid_length_mismatch_emsg)
         else:
             divided.on_tth[1] = other.on_tth[1] / self.on_tth[1]
             divided.on_q[1] = other.on_q[1] / self.on_q[1]

tests/conftest.py

@@ -47,6 +47,12 @@ def do_minimal_tth():
     return DiffractionObject(wavelength=2 * np.pi, xarray=np.array([30, 60]), yarray=np.array([1, 2]), xtype="tth")
 
 
+@pytest.fixture
+def do_minimal_d():
+    # Create an instance of DiffractionObject with non-empty xarray, yarray, and wavelength values
+    return DiffractionObject(wavelength=1.54, xarray=np.array([1, 2]), yarray=np.array([1, 2]), xtype="d")
+
+
 @pytest.fixture
 def wavelength_warning_msg():
     return (
@@ -63,3 +69,20 @@ def invalid_q_or_d_or_wavelength_error_msg():
         "The supplied input array and wavelength will result in an impossible two-theta. "
         "Please check these values and re-instantiate the DiffractionObject with correct values."
     )
+
+
+@pytest.fixture
+def invalid_add_type_error_msg():
+    return (
+        "You may only add a DiffractionObject with another DiffractionObject or a scalar value. "
+        "Please rerun by adding another DiffractionObject instance or a scalar value. "
+        "e.g., my_do_1 + my_do_2 or my_do + 10 or 10 + my_do"
+    )
+
+
+@pytest.fixture
+def y_grid_size_mismatch_error_msg():
+    return (
+        "The two objects have different y-array lengths. "
+        "Please ensure the length of the y-value during initialization is identical."
+    )

tests/test_diffraction_objects.py

@@ -710,3 +710,78 @@ def test_copy_object(do_minimal):
     do_copy = do.copy()
     assert do == do_copy
     assert id(do) != id(do_copy)
+
+
+@pytest.mark.parametrize(
+    "starting_all_arrays, scalar_to_add, expected_all_arrays",
+    [
+        # Test scalar addition to yarray values (intensity) and expect no change to xarrays (q, tth, d)
+        (  # C1: Add integer of 5, expect yarray to increase by by 5
+            np.array([[1.0, 0.51763809, 30.0, 12.13818192], [2.0, 1.0, 60.0, 6.28318531]]),
+            5,
+            np.array([[6.0, 0.51763809, 30.0, 12.13818192], [7.0, 1.0, 60.0, 6.28318531]]),
+        ),
+        (  # C2: Add float of 5.1, expect yarray to be added by 5.1
+            np.array([[1.0, 0.51763809, 30.0, 12.13818192], [2.0, 1.0, 60.0, 6.28318531]]),
+            5.1,
+            np.array([[6.1, 0.51763809, 30.0, 12.13818192], [7.1, 1.0, 60.0, 6.28318531]]),
+        ),
+    ],
+)
+def test_addition_operator_by_scalar(starting_all_arrays, scalar_to_add, expected_all_arrays, do_minimal_tth):
+    do = do_minimal_tth
+    assert np.allclose(do.all_arrays, starting_all_arrays)
+    do_scalar_right_sum = do + scalar_to_add
+    assert np.allclose(do_scalar_right_sum.all_arrays, expected_all_arrays)
+    do_scalar_left_sum = scalar_to_add + do
+    assert np.allclose(do_scalar_left_sum.all_arrays, expected_all_arrays)
+
+
+@pytest.mark.parametrize(
+    "do_1_all_arrays, "
+    "do_2_all_arrays, "
+    "expected_do_1_all_arrays_with_y_summed, "
+    "expected_do_2_all_arrays_with_y_summed",
+    [
+        # Test addition of two DO objects, expect combined yarray values and no change to xarrays ((q, tth, d)
+        (  # C1: Add two DO objects, expect sum of yarray values
+            (np.array([[1.0, 0.51763809, 30.0, 12.13818192], [2.0, 1.0, 60.0, 6.28318531]]),),
+            (np.array([[1.0, 6.28318531, 100.70777771, 1], [2.0, 3.14159265, 45.28748053, 2.0]]),),
+            (np.array([[2.0, 0.51763809, 30.0, 12.13818192], [4.0, 1.0, 60.0, 6.28318531]]),),
+            (np.array([[2.0, 6.28318531, 100.70777771, 1], [4.0, 3.14159265, 45.28748053, 2.0]]),),
+        ),
+    ],
+)
+def test_addition_operator_by_another_do(
+    do_1_all_arrays,
+    do_2_all_arrays,
+    expected_do_1_all_arrays_with_y_summed,
+    expected_do_2_all_arrays_with_y_summed,
+    do_minimal_tth,
+    do_minimal_d,
+):
+    do_1 = do_minimal_tth
+    assert np.allclose(do_1.all_arrays, do_1_all_arrays)
+    do_2 = do_minimal_d
+    assert np.allclose(do_2.all_arrays, do_2_all_arrays)
+    assert np.allclose((do_1 + do_2).all_arrays, expected_do_1_all_arrays_with_y_summed)
+    assert np.allclose((do_2 + do_1).all_arrays, expected_do_2_all_arrays_with_y_summed)
+
+
+def test_addition_operator_invalid_type(do_minimal_tth, invalid_add_type_error_msg):
+    # Add a string to a DO object, expect TypeError, only scalar (int, float) allowed for addition
+    do = do_minimal_tth
+    with pytest.raises(TypeError, match=re.escape(invalid_add_type_error_msg)):
+        do + "string_value"
+    with pytest.raises(TypeError, match=re.escape(invalid_add_type_error_msg)):
+        "string_value" + do
+
+
+def test_addition_operator_invalid_yarray_length(do_minimal, do_minimal_tth, y_grid_size_mismatch_error_msg):
+    # Combine two DO objects, one with empty xarrays (do_minimal) and the other with non-empty xarrays
+    do_1 = do_minimal
+    do_2 = do_minimal_tth
+    assert len(do_1.all_arrays[:, 0]) == 0
+    assert len(do_2.all_arrays[:, 0]) == 2
+    with pytest.raises(ValueError, match=re.escape(y_grid_size_mismatch_error_msg)):
+        do_1 + do_2