From 8687504496bd29ca07dc89c70bb66f97e27f131c Mon Sep 17 00:00:00 2001
From: leufen1 <l.leufen@fz-juelich.de>
Date: Wed, 10 Feb 2021 17:48:21 +0100
Subject: [PATCH] removed import statement in tests
---
test/test_helpers/test_statistics.py | 51 +---------------------------
1 file changed, 1 insertion(+), 50 deletions(-)
diff --git a/test/test_helpers/test_statistics.py b/test/test_helpers/test_statistics.py
index 76adc1bd..52ccfd23 100644
--- a/test/test_helpers/test_statistics.py
+++ b/test/test_helpers/test_statistics.py
@@ -3,10 +3,8 @@ import pandas as pd
import pytest
import xarray as xr
-from mlair.helpers.statistics import DataClass, TransformationClass
from mlair.helpers.statistics import standardise, standardise_inverse, standardise_apply, centre, centre_inverse, \
- centre_apply, \
- apply_inverse_transformation
+ centre_apply, apply_inverse_transformation
lazy = pytest.lazy_fixture
@@ -115,50 +113,3 @@ class TestCentre:
data = centre_apply(data_orig, mean)
mean_expected = np.array([2, -5, 10]) - np.array([2, 10, 3])
assert np.testing.assert_almost_equal(data.mean(dim), mean_expected, decimal=1) is None
-
-
-class TestDataClass:
-
- def test_init(self):
- dc = DataClass()
- assert all([obj is None for obj in [dc.data, dc.mean, dc.std, dc.max, dc.min, dc.transform_method, dc._method]])
-
- def test_init_values(self):
- dc = DataClass(data=12, mean=2, std="test", max=23.4, min=np.array([3]), transform_method="f")
- assert dc.data == 12
- assert dc.mean == 2
- assert dc.std == "test"
- assert dc.max == 23.4
- assert np.testing.assert_array_equal(dc.min, np.array([3])) is None
- assert dc.transform_method == "f"
- assert dc._method is None
-
- def test_as_dict(self):
- dc = DataClass(std=23)
- dc._method = "f(x)"
- assert dc.as_dict() == {"data": None, "mean": None, "std": 23, "max": None, "min": None,
- "transform_method": None}
-
-
-class TestTransformationClass:
-
- def test_init(self):
- tc = TransformationClass()
- assert hasattr(tc, "inputs")
- assert isinstance(tc.inputs, DataClass)
- assert hasattr(tc, "targets")
- assert isinstance(tc.targets, DataClass)
- assert tc.inputs.mean is None
- assert tc.targets.std is None
-
- def test_init_values(self):
- tc = TransformationClass(inputs_mean=1, inputs_std=2, inputs_method="f", targets_mean=3, targets_std=4,
- targets_method="g")
- assert tc.inputs.mean == 1
- assert tc.inputs.std == 2
- assert tc.inputs.transform_method == "f"
- assert tc.inputs.max is None
- assert tc.targets.mean == 3
- assert tc.targets.std == 4
- assert tc.targets.transform_method == "g"
- assert tc.inputs.min is None
--
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