CI: troubleshoot py310 build

pandas/core/algorithms.py

@@ -20,6 +20,7 @@
 import numpy as np
 
 from pandas._libs import (
+    Timestamp,
     algos,
     hashtable as htable,
     iNaT,
@@ -1092,18 +1093,19 @@ def checked_add_with_arr(
     # it is negative, we then check whether its sum with the element in
     # 'arr' exceeds np.iinfo(np.int64).min. If so, we have an overflow
     # error as well.
+    i8max = Timestamp.max.value  # GH#?
+    i8min = iNaT
+
     mask1 = b2 > 0
     mask2 = b2 < 0
 
     if not mask1.any():
-        to_raise = ((np.iinfo(np.int64).min - b2 > arr) & not_nan).any()
+        to_raise = ((i8min - b2 > arr) & not_nan).any()
     elif not mask2.any():
-        to_raise = ((np.iinfo(np.int64).max - b2 < arr) & not_nan).any()
+        to_raise = ((i8max - b2 < arr) & not_nan).any()
     else:
-        to_raise = (
-            (np.iinfo(np.int64).max - b2[mask1] < arr[mask1]) & not_nan[mask1]
-        ).any() or (
-            (np.iinfo(np.int64).min - b2[mask2] > arr[mask2]) & not_nan[mask2]
+        to_raise = ((i8max - b2[mask1] < arr[mask1]) & not_nan[mask1]).any() or (
+            (i8min - b2[mask2] > arr[mask2]) & not_nan[mask2]
         ).any()
 
     if to_raise:

pandas/core/arrays/_ranges.py

@@ -103,7 +103,7 @@ def _generate_range_overflow_safe(
     # GH#14187 raise instead of incorrectly wrapping around
     assert side in ["start", "end"]
 
-    i64max = np.uint64(np.iinfo(np.int64).max)
+    i64max = np.uint64(Timestamp.max.value)  # GH#???
     msg = f"Cannot generate range with {side}={endpoint} and periods={periods}"
 
     with np.errstate(over="raise"):
@@ -180,7 +180,7 @@ def _generate_range_overflow_safe_signed(
             # error: Incompatible types in assignment (expression has type
             # "unsignedinteger[_64Bit]", variable has type "signedinteger[_64Bit]")
             result = np.uint64(endpoint) + np.uint64(addend)  # type: ignore[assignment]
-            i64max = np.uint64(np.iinfo(np.int64).max)
+            i64max = np.uint64(Timestamp.max.value)
             assert result > i64max
             if result <= i64max + np.uint64(stride):
                 # error: Incompatible return value type (got "unsignedinteger", expected

pandas/core/nanops.py

@@ -205,7 +205,7 @@ def _get_fill_value(
     else:
         if fill_value_typ == "+inf":
             # need the max int here
-            return np.iinfo(np.int64).max
+            return Timedelta.max.value  # GH#???
         else:
             return iNaT
 
@@ -376,7 +376,7 @@ def _wrap_results(result, dtype: np.dtype, fill_value=None):
                 result = np.nan
 
             # raise if we have a timedelta64[ns] which is too large
-            if np.fabs(result) > np.iinfo(np.int64).max:
+            if np.fabs(result) > Timedelta.max.value:
                 raise ValueError("overflow in timedelta operation")
 
             result = Timedelta(result, unit="ns")
@@ -1758,7 +1758,7 @@ def na_accum_func(values: ArrayLike, accum_func, *, skipna: bool) -> ArrayLike:
         if accum_func == np.minimum.accumulate:
             # Note: the accum_func comparison fails as an "is" comparison
             y = values.view("i8")
-            y[mask] = np.iinfo(np.int64).max
+            y[mask] = Timedelta.max.value
             changed = True
         else:
             y = values

pandas/core/sorting.py

@@ -13,6 +13,7 @@
 import numpy as np
 
 from pandas._libs import (
+    Timestamp,
     algos,
     hashtable,
     lib,
@@ -40,7 +41,7 @@
     from pandas import MultiIndex
     from pandas.core.indexes.base import Index
 
-_INT64_MAX = np.iinfo(np.int64).max
+_INT64_MAX = Timestamp.max.value  # GH#?
 
 
 def get_indexer_indexer(