CI/TST: Address some warnings

.github/workflows/unit-tests.yml

@@ -103,7 +103,7 @@ jobs:
 
     services:
       mysql:
-        image: mysql
+        image: mysql:8.0.33
         env:
           MYSQL_ALLOW_EMPTY_PASSWORD: yes
           MYSQL_DATABASE: pandas
@@ -116,8 +116,9 @@ jobs:
           - 3306:3306
 
       postgres:
-        image: postgres
+        image: postgres:13
         env:
+          PGUSER: postgres
           POSTGRES_USER: postgres
           POSTGRES_PASSWORD: postgres
           POSTGRES_DB: pandas
@@ -130,7 +131,7 @@ jobs:
           - 5432:5432
 
       moto:
-        image: motoserver/moto:4.1.12
+        image: motoserver/moto:4.1.13
         env:
           AWS_ACCESS_KEY_ID: foobar_key
           AWS_SECRET_ACCESS_KEY: foobar_secret
@@ -237,7 +238,7 @@ jobs:
         run: |
           /opt/python/cp311-cp311/bin/python -m venv ~/virtualenvs/pandas-dev
           . ~/virtualenvs/pandas-dev/bin/activate
-          python -m pip install -U pip wheel setuptools meson[ninja]==1.0.1 meson-python==0.13.1
+          python -m pip install --no-cache-dir -U pip wheel setuptools meson[ninja]==1.0.1 meson-python==0.13.1
           python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytz pytest>=7.3.2 pytest-xdist>=2.2.0 pytest-asyncio>=0.17 hypothesis>=6.46.1
           python -m pip install --no-cache-dir --no-build-isolation -e .
           python -m pip list --no-cache-dir
@@ -275,7 +276,7 @@ jobs:
         run: |
           /opt/python/cp311-cp311/bin/python -m venv ~/virtualenvs/pandas-dev
           . ~/virtualenvs/pandas-dev/bin/activate
-          python -m pip install -U pip wheel setuptools meson-python==0.13.1 meson[ninja]==1.0.1
+          python -m pip install --no-cache-dir -U pip wheel setuptools meson-python==0.13.1 meson[ninja]==1.0.1
           python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytz pytest>=7.3.2 pytest-xdist>=2.2.0 pytest-asyncio>=0.17 hypothesis>=6.46.1
           python -m pip install --no-cache-dir --no-build-isolation -e .
           python -m pip list --no-cache-dir

ci/meta.yaml

@@ -34,7 +34,8 @@ requirements:
     - tomli  # [py<311]
   run:
     - python
-    - {{ pin_compatible('numpy') }}
+    - numpy >=1.21.6  # [py<311]
+    - numpy >=1.23.2  # [py>=311]
     - python-dateutil >=2.8.2
     - pytz >=2020.1
     - python-tzdata >=2022.1

pandas/tests/arrays/sparse/test_unary.py

@@ -8,6 +8,7 @@
 from pandas.core.arrays import SparseArray
 
 
+@pytest.mark.filterwarnings("ignore:invalid value encountered in cast:RuntimeWarning")
 @pytest.mark.parametrize("fill_value", [0, np.nan])
 @pytest.mark.parametrize("op", [operator.pos, operator.neg])
 def test_unary_op(op, fill_value):
@@ -36,6 +37,9 @@ def test_invert(fill_value):
 
 
 class TestUnaryMethods:
+    @pytest.mark.filterwarnings(
+        "ignore:invalid value encountered in cast:RuntimeWarning"
+    )
     def test_neg_operator(self):
         arr = SparseArray([-1, -2, np.nan, 3], fill_value=np.nan, dtype=np.int8)
         res = -arr
@@ -47,6 +51,9 @@ def test_neg_operator(self):
         exp = SparseArray([1, 2, -1, -3], fill_value=1, dtype=np.int8)
         tm.assert_sp_array_equal(exp, res)
 
+    @pytest.mark.filterwarnings(
+        "ignore:invalid value encountered in cast:RuntimeWarning"
+    )
     def test_abs_operator(self):
         arr = SparseArray([-1, -2, np.nan, 3], fill_value=np.nan, dtype=np.int8)
         res = abs(arr)

pandas/tests/extension/test_boolean.py

@@ -26,6 +26,13 @@
 from pandas.core.arrays.boolean import BooleanDtype
 from pandas.tests.extension import base
 
+pytestmark = [
+    pytest.mark.filterwarnings(
+        "ignore:invalid value encountered in divide:RuntimeWarning"
+    ),
+    pytest.mark.filterwarnings("ignore:Mean of empty slice:RuntimeWarning"),
+]
+
 
 def make_data():
     return [True, False] * 4 + [np.nan] + [True, False] * 44 + [np.nan] + [True, False]

pandas/tests/extension/test_floating.py

@@ -30,6 +30,14 @@
     masked_shared,
 )
 
+pytestmark = [
+    pytest.mark.filterwarnings("ignore:overflow encountered in reduce:RuntimeWarning"),
+    pytest.mark.filterwarnings(
+        "ignore:invalid value encountered in divide:RuntimeWarning"
+    ),
+    pytest.mark.filterwarnings("ignore:Mean of empty slice:RuntimeWarning"),
+]
+
 
 def make_data():
     return (

pandas/tests/extension/test_integer.py

@@ -37,6 +37,13 @@
     masked_shared,
 )
 
+pytestmark = [
+    pytest.mark.filterwarnings(
+        "ignore:invalid value encountered in divide:RuntimeWarning"
+    ),
+    pytest.mark.filterwarnings("ignore:Mean of empty slice:RuntimeWarning"),
+]
+
 
 def make_data():
     return list(range(1, 9)) + [pd.NA] + list(range(10, 98)) + [pd.NA] + [99, 100]

pandas/tests/groupby/test_groupby.py

@@ -30,6 +30,8 @@
 import pandas.core.common as com
 from pandas.tests.groupby import get_groupby_method_args
 
+pytestmark = pytest.mark.filterwarnings("ignore:Mean of empty slice:RuntimeWarning")
+
 
 def test_repr():
     # GH18203

pandas/tests/series/methods/test_describe.py

@@ -158,6 +158,7 @@ def test_datetime_is_numeric_includes_datetime(self):
         )
         tm.assert_series_equal(result, expected)
 
+    @pytest.mark.filterwarnings("ignore:Casting complex values to real discards")
     def test_numeric_result_dtype(self, any_numeric_dtype):
         # GH#48340 - describe should always return float on non-complex numeric input
         if is_extension_array_dtype(any_numeric_dtype):