fix: support Pandas 0.24 (#8)

* test: Don't use the equal_nan option of array_equal. It requires new versions of numpy

* 🦉 Updates from OwlBot

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* blacken

* fix: support pandas 0.24

* blacken

* remove 'stop on first error'

* 🦉 Updates from OwlBot

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* 🦉 Updates from OwlBot

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
Co-authored-by: Tim Swast <swast@google.com>

db_dtypes/core.py

@@ -17,7 +17,6 @@
 import numpy
 import pandas
 from pandas._libs import NaT
-from pandas._typing import Scalar
 import pandas.compat.numpy.function
 import pandas.core.algorithms
 import pandas.core.arrays
@@ -171,18 +170,14 @@ def all(
         result = pandas.core.nanops.nanall(self._ndarray, axis=axis, skipna=skipna)
         return result
 
-    def min(
-        self, *, axis: Optional[int] = None, skipna: bool = True, **kwargs
-    ) -> Scalar:
+    def min(self, *, axis: Optional[int] = None, skipna: bool = True, **kwargs):
         pandas.compat.numpy.function.validate_min((), kwargs)
         result = pandas.core.nanops.nanmin(
             values=self._ndarray, axis=axis, mask=self.isna(), skipna=skipna
         )
         return self._box_func(result)
 
-    def max(
-        self, *, axis: Optional[int] = None, skipna: bool = True, **kwargs
-    ) -> Scalar:
+    def max(self, *, axis: Optional[int] = None, skipna: bool = True, **kwargs):
         pandas.compat.numpy.function.validate_max((), kwargs)
         result = pandas.core.nanops.nanmax(
             values=self._ndarray, axis=axis, mask=self.isna(), skipna=skipna

noxfile.py

@@ -44,7 +44,6 @@
 ]
 
 # Error if a python version is missing
-nox.options.stop_on_first_error = True
 nox.options.error_on_missing_interpreters = True
 
 

owlbot.py

@@ -51,21 +51,6 @@
     ["noxfile.py"], "google/cloud", "db_dtypes",
 )
 
-
-def place_before(path, text, *before_text, escape=None):
-    replacement = "\n".join(before_text) + "\n" + text
-    if escape:
-        for c in escape:
-            text = text.replace(c, "\\" + c)
-    s.replace([path], text, replacement)
-
-
-place_before(
-    "noxfile.py",
-    "nox.options.error_on_missing_interpreters = True",
-    "nox.options.stop_on_first_error = True",
-)
-
 # There are no system tests for this package.
 old_sessions = """
     "unit",

tests/unit/test_dtypes.py

@@ -58,6 +58,12 @@
 for_date_and_time = pytest.mark.parametrize("dtype", ["date", "time"])
 
 
+def eq_na(a1, a2):
+    nna1 = pd.notna(a1)
+    nna2 = pd.notna(a2)
+    return np.array_equal(nna1, nna2) and np.array_equal(a1[nna1], a2[nna2])
+
+
 @pytest.fixture(autouse=True)
 def register_dtype():
     import db_dtypes  # noqa
@@ -575,8 +581,8 @@ def test_date_add():
     dates = pd.Series(dates)
     times = pd.Series(times)
     expect = dates.astype("datetime64") + times.astype("timedelta64")[:2]
-    assert np.array_equal(dates + times[:2], expect, equal_nan=True)
-    assert np.array_equal(times[:2] + dates, expect, equal_nan=True)
+    assert eq_na(dates + times[:2], expect)
+    assert eq_na(times[:2] + dates, expect)
 
     do = pd.Series([pd.DateOffset(days=i) for i in range(4)])
     expect = dates.astype("object") + do
@@ -609,7 +615,7 @@ def test_date_sub():
     dates = pd.Series(dates)
     dates2 = pd.Series(dates2)
     expect = dates.astype("datetime64") - dates2.astype("datetime64")[:2]
-    assert np.array_equal(dates - dates2[:2], expect, equal_nan=True)
+    assert eq_na(dates - dates2[:2], expect)
 
     do = pd.Series([pd.DateOffset(days=i) for i in range(4)])
     expect = dates.astype("object") - do