Merge branch 'pyjanitor-devs:dev' into ci/testing-env

Author: Zeroto521

CHANGELOG.md

@@ -28,6 +28,7 @@
 -   [ENH] Fix error when `sort_by_appearance=True` is combined with `dropna=True`. Issue #1168 @samukweku
 -   [ENH] Add explicit default parameter to `case_when` function. Issue #1159 @samukweku
 -   [BUG] pandas 1.5.x `_MergeOperation` doesn't have `copy` keyword anymore. Issue #1174 @Zeroto521
+-   [TST] Compat with macos and window, to fix `FailedHealthCheck` Issue #1181 @Zeroto521
 
 ## [v0.23.1] - 2022-05-03
 

tests/functions/test_add_column.py

@@ -2,6 +2,7 @@
 import pandas as pd
 import pytest
 from hypothesis import given
+from hypothesis import settings
 from hypothesis import strategies as st
 from pandas.testing import assert_series_equal
 
@@ -10,6 +11,7 @@
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_add_column_add_integer(df):
     """col_name wasn't a string"""
     with pytest.raises(TypeError):
@@ -48,6 +50,7 @@ def test_add_column_too_few_but_no_fill_remaining(dataframe):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_add_column_scalar(df):
     """Checks `add_column` works as expected when adding a numeric scalar
     to the column"""
@@ -63,6 +66,7 @@ def test_add_column_scalar(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_add_column_string(df):
     """Checks `add_column` works as expected when adding a string scalar
     to the column.
@@ -94,6 +98,7 @@ def test_add_column_iterator_repeat_subtraction(dataframe):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_add_column_fill_scalar(df):
     """Checks the `fill_remaining` parameter works as expected when value
     is a scalar."""
@@ -105,6 +110,7 @@ def test_add_column_fill_scalar(df):
 
 @pytest.mark.functions
 @given(df=df_strategy(), vals=st.lists(elements=st.integers()))
+@settings(deadline=None)
 def test_add_column_fill_remaining_iterable(df, vals: list):
     """Checks the `fill_remaining` parameter works as expected."""
     if len(vals) > len(df) or not vals:

tests/functions/test_add_columns.py

@@ -2,6 +2,7 @@
 import pandas as pd
 import pytest
 from hypothesis import given
+from hypothesis import settings
 from hypothesis import strategies as st
 from pandas.testing import assert_series_equal
 
@@ -14,6 +15,7 @@
     x_vals=st.floats(),
     n_yvals=st.integers(min_value=0, max_value=100),
 )
+@settings(deadline=None)
 def test_add_columns(df, x_vals, n_yvals):
     """
     Test for adding multiple columns at the same time.

tests/functions/test_bin_numeric.py

@@ -1,13 +1,14 @@
 import pytest
 from hypothesis import given
+from hypothesis import settings
 
 from janitor.testing_utils.strategies import df_strategy
 
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_bin_numeric_expected_columns(df):
-
     df = df.bin_numeric(from_column_name="a", to_column_name="a_bin")
     expected_columns = [
         "a",
@@ -23,6 +24,7 @@ def test_bin_numeric_expected_columns(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_bin_numeric_kwargs_has_no_retbins(df):
 
     with pytest.raises(ValueError):

tests/functions/test_case_when.py

@@ -1,6 +1,7 @@
 import numpy as np
 import pandas as pd
 import pytest
+from hypothesis import settings
 from hypothesis import given
 from pandas.testing import assert_frame_equal
 
@@ -128,6 +129,7 @@ def test_error_multiple_conditions():
 
 
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_case_when_condition_callable(df):
     """Test case_when for callable."""
     result = df.case_when(
@@ -139,6 +141,7 @@ def test_case_when_condition_callable(df):
 
 
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_case_when_condition_eval(df):
     """Test case_when for callable."""
     result = df.case_when("a < 10", "baby", default="bleh", column_name="bleh")
@@ -148,6 +151,7 @@ def test_case_when_condition_eval(df):
 
 
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_case_when_replacement_callable(df):
     """Test case_when for callable."""
     result = df.case_when(
@@ -214,6 +218,7 @@ def test_case_when_default_index(df):
 
 
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_case_when_multiple_args(df):
     """Test case_when for multiple arguments."""
     result = df.case_when(

tests/functions/test_complete.py

@@ -1,12 +1,13 @@
+from string import ascii_lowercase
+
 import numpy as np
 import pandas as pd
 import pytest
 from hypothesis import given
+from hypothesis import settings
 from pandas.testing import assert_frame_equal
-from janitor.testing_utils.strategies import (
-    categoricaldf_strategy,
-)
-from string import ascii_lowercase
+
+from janitor.testing_utils.strategies import categoricaldf_strategy
 
 
 @pytest.fixture
@@ -156,6 +157,7 @@ def test_type_explicit(fill_df):
 
 
 @given(df=categoricaldf_strategy())
+@settings(deadline=None)
 def test_all_strings_no_nulls(df):
     """
     Test `complete` output when *columns
@@ -177,6 +179,7 @@ def test_all_strings_no_nulls(df):
 
 
 @given(df=categoricaldf_strategy())
+@settings(deadline=None)
 def test_dict(df):
     """
     Test `complete` output when *columns
@@ -228,6 +231,7 @@ def test_dict_extension_array(df):
 
 
 @given(df=categoricaldf_strategy())
+@settings(deadline=None)
 def test_dict_numpy(df):
     """
     Test `complete` output when *columns
@@ -254,6 +258,7 @@ def test_dict_numpy(df):
 
 
 @given(df=categoricaldf_strategy())
+@settings(deadline=None)
 def test_dict_Index(df):
     """
     Test `complete` output when *columns
@@ -282,6 +287,7 @@ def test_dict_Index(df):
 
 
 @given(df=categoricaldf_strategy())
+@settings(deadline=None)
 def test_dict_duplicated(df):
     """
     Test `complete` output when *columns

tests/functions/test_encode_categorical.py

@@ -3,6 +3,7 @@
 import datetime
 import pytest
 from hypothesis import given
+from hypothesis import settings
 from pandas.testing import assert_frame_equal
 
 from janitor.testing_utils.strategies import (
@@ -32,6 +33,7 @@ def test_encode_categorical(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_encode_categorical_missing_column(df):
     """
     Raise ValueError for missing columns
@@ -44,6 +46,7 @@ def test_encode_categorical_missing_column(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_encode_categorical_missing_columns(df):
     """
     Raise ValueError for missing columns
@@ -56,6 +59,7 @@ def test_encode_categorical_missing_columns(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_encode_categorical_invalid_input(df):
     """
     Raise ValueError for wrong input type
@@ -67,6 +71,7 @@ def test_encode_categorical_invalid_input(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_encode_categorical_invalid_input_2(df):
     """
     Raise TypeError for wrong input type
@@ -78,6 +83,7 @@ def test_encode_categorical_invalid_input_2(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_encode_categorical_multiple_column_names(df):
     """
     Test output when more than one column is provided
@@ -147,6 +153,7 @@ def test_categories_ndim_DataFrame_gt_1_in_kwargs(df_checks):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_categories_null_in_categories(df):
     """
     Raise ValueError if categories is provided, but has nulls.
@@ -157,6 +164,7 @@ def test_categories_null_in_categories(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_non_unique_cat(df):
     """Raise ValueError if categories is provided, but is not unique."""
     with pytest.raises(ValueError):
@@ -165,6 +173,7 @@ def test_non_unique_cat(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_empty_cat(df):
     """Raise ValueError if empty categories is provided."""
     with pytest.raises(ValueError):
@@ -173,6 +182,7 @@ def test_empty_cat(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_empty_col(df):
     """
     Raise ValueError if categories is provided,
@@ -199,6 +209,7 @@ def test_warnings(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_order_wrong_option_in_kwargs(df):
     """
     Raise ValueError if a string is provided, but is not
@@ -210,6 +221,7 @@ def test_order_wrong_option_in_kwargs(df):
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_empty_col_sort(df):
     """
     Raise ValueError if a string is provided,
@@ -285,6 +297,7 @@ def test_all_cat_None_2(df):
 
 @pytest.mark.functions
 @given(df=categoricaldf_strategy())
+@settings(deadline=None)
 def test_all_cat_not_None(df):
     """
     Test output where categories is provided.

tests/functions/test_expand_grid.py

@@ -1,14 +1,15 @@
+from functools import reduce
+
 import numpy as np
 import pandas as pd
 import pytest
-from hypothesis import given, settings
+from hypothesis import given
+from hypothesis import settings
 from pandas.testing import assert_frame_equal
-from janitor.testing_utils.strategies import (
-    df_strategy,
-    categoricaldf_strategy,
-)
+
 from janitor.functions import expand_grid
-from functools import reduce
+from janitor.testing_utils.strategies import df_strategy
+from janitor.testing_utils.strategies import categoricaldf_strategy
 
 
 @given(df=df_strategy())
@@ -19,6 +20,7 @@ def test_others_not_dict(df):
 
 
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_others_none(df):
     """Return DataFrame if no `others`, and df exists."""
     assert_frame_equal(df.expand_grid("df"), df)
@@ -37,6 +39,7 @@ def test_df_key(df):
 
 
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_df_key_hashable(df):
     """Raise error if df exists and df_key is not Hashable."""
     with pytest.raises(TypeError):

tests/functions/test_filter_column_isin.py

@@ -1,14 +1,15 @@
 import pytest
-from hypothesis import assume, given
+from hypothesis import assume
+from hypothesis import given
+from hypothesis import settings
 
-from janitor.testing_utils.strategies import (
-    categoricaldf_strategy,
-    names_strategy,
-)
+from janitor.testing_utils.strategies import categoricaldf_strategy
+from janitor.testing_utils.strategies import names_strategy
 
 
 @pytest.mark.functions
 @given(df=categoricaldf_strategy(), iterable=names_strategy())
+@settings(deadline=None)
 def test_filter_column_isin(df, iterable):
     """
     `filter_column_isin` should return the property that the column of

tests/functions/test_remove_empty.py

@@ -2,12 +2,14 @@
 import pandas as pd
 import pytest
 from hypothesis import given
+from hypothesis import settings
 
 from janitor.testing_utils.strategies import df_strategy
 
 
 @pytest.mark.functions
 @given(df=df_strategy())
+@settings(deadline=None)
 def test_remove_empty(df):
     # This test ensures that there are no columns that are completely null.
     df = df.remove_empty()