Accepting request 909017 from home:mcepl:branches:devel:languages:python

- Update to 2.2.0:
  - #45: num_regression.check now accepts any object that can be coerced
    to a 1d numpy array with numeric dtype (e.g. list, tuple, etc).
  - #35: New dataframe_regression fixture to check pandas DataFrames
    directly.
  - #34: Fix data_regression bug that creates empty file on serializing
    error.
- Add np_num-deprecated.patch to avoid tests failing on using deprecated
  data types (gh#ESSS/pytest-regressions#63).

OBS-URL: https://build.opensuse.org/request/show/909017
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:pytest/python-pytest-regressions?expand=0&rev=1

np_num-deprecated.patch

@@ -0,0 +1,97 @@
+---
+ src/pytest_regressions/dataframe_regression.py |    4 ++--
+ tests/test_dataframe_regression.py             |    8 ++++----
+ tests/test_num_regression.py                   |   10 +++++-----
+ 3 files changed, 11 insertions(+), 11 deletions(-)
+
+--- a/src/pytest_regressions/dataframe_regression.py
++++ b/src/pytest_regressions/dataframe_regression.py
+@@ -123,7 +123,7 @@ class DataFrameRegressionFixture:
+             self._check_data_shapes(obtained_column, expected_column)
+ 
+             data_type = obtained_column.values.dtype
+-            if data_type in [float, np.float, np.float16, np.float32, np.float64]:
++            if data_type in [float, np.float16, np.float32, np.float64]:
+                 not_close_mask = ~np.isclose(
+                     obtained_column.values,
+                     expected_column.values,
+@@ -137,7 +137,7 @@ class DataFrameRegressionFixture:
+                 diff_ids = np.where(not_close_mask)[0]
+                 diff_obtained_data = obtained_column[diff_ids]
+                 diff_expected_data = expected_column[diff_ids]
+-                if data_type == np.bool:
++                if data_type == bool:
+                     diffs = np.logical_xor(obtained_column, expected_column)[diff_ids]
+                 else:
+                     diffs = np.abs(obtained_column - expected_column)[diff_ids]
+--- a/tests/test_dataframe_regression.py
++++ b/tests/test_dataframe_regression.py
+@@ -193,7 +193,7 @@ def test_arrays_with_different_sizes(dat
+ 
+ 
+ def test_integer_values_smoke_test(dataframe_regression, no_regen):
+-    data1 = np.ones(11, dtype=np.int)
++    data1 = np.ones(11, dtype=int)
+     dataframe_regression.check(pd.DataFrame.from_dict({"data1": data1}))
+ 
+ 
+@@ -203,7 +203,7 @@ def test_number_formats(dataframe_regres
+ 
+ 
+ def test_bool_array(dataframe_regression, no_regen):
+-    data1 = np.array([True, True, True], dtype=np.bool)
++    data1 = np.array([True, True, True], dtype=bool)
+     with pytest.raises(AssertionError) as excinfo:
+         dataframe_regression.check(pd.DataFrame.from_dict({"data1": data1}))
+     obtained_error_msg = str(excinfo.value)
+@@ -228,8 +228,8 @@ def test_bool_array(dataframe_regression
+ 
+ def test_arrays_of_same_size(dataframe_regression):
+     same_size_int_arrays = {
+-        "hello": np.zeros((1,), dtype=np.int),
+-        "world": np.zeros((1,), dtype=np.int),
++        "hello": np.zeros((1,), dtype=int),
++        "world": np.zeros((1,), dtype=int),
+     }
+     dataframe_regression.check(pd.DataFrame.from_dict(same_size_int_arrays))
+ 
+--- a/tests/test_num_regression.py
++++ b/tests/test_num_regression.py
+@@ -169,7 +169,7 @@ def test_different_data_types(num_regres
+ 
+ 
+ def test_n_dimensions(num_regression, no_regen):
+-    data1 = np.ones(shape=(10, 10), dtype=np.int)
++    data1 = np.ones(shape=(10, 10), dtype=int)
+     with pytest.raises(
+         AssertionError,
+         match="Only 1D arrays are supported on num_data_regression fixture.",
+@@ -186,7 +186,7 @@ def test_arrays_with_different_sizes(num
+ 
+ 
+ def test_integer_values_smoke_test(num_regression, no_regen):
+-    data1 = np.ones(11, dtype=np.int)
++    data1 = np.ones(11, dtype=int)
+     num_regression.check({"data1": data1})
+ 
+ 
+@@ -228,7 +228,7 @@ def test_fill_different_shape_with_nan_f
+ 
+ 
+ def test_bool_array(num_regression, no_regen):
+-    data1 = np.array([True, True, True], dtype=np.bool)
++    data1 = np.array([True, True, True], dtype=bool)
+     with pytest.raises(AssertionError) as excinfo:
+         num_regression.check({"data1": data1})
+     obtained_error_msg = str(excinfo.value)
+@@ -253,8 +253,8 @@ def test_bool_array(num_regression, no_r
+ 
+ def test_arrays_of_same_size(num_regression):
+     same_size_int_arrays = {
+-        "hello": np.zeros((1,), dtype=np.int),
+-        "world": np.zeros((1,), dtype=np.int),
++        "hello": np.zeros((1,), dtype=int),
++        "world": np.zeros((1,), dtype=int),
+     }
+     num_regression.check(same_size_int_arrays)
+