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improve comments for test_scale_to
#280
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**Added:** | ||
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* no news added - make test comments for `test_scale_to` more readable | ||
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**Fixed:** | ||
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@@ -190,8 +190,8 @@ def test_init_invalid_xtype(): | |
@pytest.mark.parametrize( | ||
"org_do_args, target_do_args, scale_inputs, expected", | ||
[ | ||
# Test whether scale_to() scales to the expected values | ||
( # C1: Same x-array and y-array with 2.1 offset, expect yarray shifted by 2.1 offset | ||
# Test whether the original y-array is scaled as expected | ||
( # C1: Same x-array and y-array with 2.1 offset, expect y-array to shift up by 2.1 | ||
{ | ||
"xarray": np.array([10, 15, 25, 30, 60, 140]), | ||
"yarray": np.array([2, 3, 4, 5, 6, 7]), | ||
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@@ -212,7 +212,10 @@ def test_init_invalid_xtype(): | |
}, | ||
{"xtype": "tth", "yarray": np.array([4.1, 5.1, 6.1, 7.1, 8.1, 9.1])}, | ||
), | ||
( # C2: Same length x-arrays with exact x-value match | ||
( # C2: Same x-arrays | ||
# x-value has exact matches at tth=60 (y=60) and tth=60 (y=6), | ||
# for original and target diffraction objects, | ||
# expect original y-array to multiply by 6/60=1/10 | ||
{ | ||
"xarray": np.array([10, 15, 25, 30, 60, 140]), | ||
"yarray": np.array([10, 20, 25, 30, 60, 100]), | ||
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@@ -233,7 +236,10 @@ def test_init_invalid_xtype(): | |
}, | ||
{"xtype": "tth", "yarray": np.array([1, 2, 2.5, 3, 6, 10])}, | ||
), | ||
( # C3: Same length x-arrays with approximate x-value match | ||
( # C3: Different x-arrays with same length, | ||
# x-value has closest match at q=0.12 (y=10) and q=0.14 (y=1) | ||
# for original and target diffraction objects, | ||
# expect original y-array to multiply by 1/10 | ||
{ | ||
"xarray": np.array([0.12, 0.24, 0.31, 0.4]), | ||
"yarray": np.array([10, 20, 40, 60]), | ||
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@@ -254,7 +260,10 @@ def test_init_invalid_xtype(): | |
}, | ||
{"xtype": "q", "yarray": np.array([1, 2, 4, 6])}, | ||
), | ||
( # C4: Different x-array lengths with approximate x-value match | ||
( # C4: Different x-array lengths | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. okay - clear, I understand the function now. yeah for C2, it was hard for me to understand what the function does by reading the test alone since numbers were similiar but other cases are clear. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Thanks! I'll edit C2 |
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# x-value has closest matches at tth=61 (y=50) and tth=62 (y=5), | ||
# for original and target diffraction objects, | ||
# expect original y-array to multiply by 5/50=1/10 | ||
{ | ||
"xarray": np.array([10, 25, 30.1, 40.2, 61, 120, 140]), | ||
"yarray": np.array([10, 20, 30, 40, 50, 60, 100]), | ||
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@@ -273,7 +282,6 @@ def test_init_invalid_xtype(): | |
"d": None, | ||
"offset": 0, | ||
}, | ||
# C5: Scaling factor is calculated at index = 4 (tth=61) for self and index = 5 for target (tth=62) | ||
{"xtype": "tth", "yarray": np.array([1, 2, 3, 4, 5, 6, 10])}, | ||
), | ||
], | ||
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clear