DEPS/CLN: remove distutils usage (#41207)

LICENSES/PACKAGING_LICENSE

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pandas/_libs/missing.pyx

@@ -1,5 +1,6 @@
 from decimal import Decimal
 import numbers
+from sys import maxsize
 
 import cython
 from cython import Py_ssize_t
@@ -27,15 +28,14 @@ from pandas._libs.tslibs.np_datetime cimport (
 )
 
 from pandas._libs.ops_dispatch import maybe_dispatch_ufunc_to_dunder_op
-from pandas.compat import IS64
 
 cdef:
     float64_t INF = <float64_t>np.inf
     float64_t NEGINF = -INF
 
     int64_t NPY_NAT = util.get_nat()
 
-    bint is_32bit = not IS64
+    bint is_32bit = maxsize <= 2 ** 32
 
     type cDecimal = Decimal  # for faster isinstance checks
 

pandas/compat/_optional.py

@@ -1,11 +1,12 @@
 from __future__ import annotations
 
-import distutils.version
 import importlib
 import sys
 import types
 import warnings
 
+from pandas.util.version import Version
+
 # Update install.rst when updating versions!
 
 VERSIONS = {
@@ -128,7 +129,7 @@ def import_optional_dependency(
     minimum_version = min_version if min_version is not None else VERSIONS.get(parent)
     if minimum_version:
         version = get_version(module_to_get)
-        if distutils.version.LooseVersion(version) < minimum_version:
+        if Version(version) < Version(minimum_version):
             msg = (
                 f"Pandas requires version '{minimum_version}' or newer of '{parent}' "
                 f"(version '{version}' currently installed)."

pandas/compat/numpy/__init__.py

@@ -1,21 +1,22 @@
 """ support numpy compatibility across versions """
 
-from distutils.version import LooseVersion
 import re
 
 import numpy as np
 
+from pandas.util.version import Version
+
 # numpy versioning
 _np_version = np.__version__
-_nlv = LooseVersion(_np_version)
-np_version_under1p18 = _nlv < LooseVersion("1.18")
-np_version_under1p19 = _nlv < LooseVersion("1.19")
-np_version_under1p20 = _nlv < LooseVersion("1.20")
-is_numpy_dev = ".dev" in str(_nlv)
+_nlv = Version(_np_version)
+np_version_under1p18 = _nlv < Version("1.18")
+np_version_under1p19 = _nlv < Version("1.19")
+np_version_under1p20 = _nlv < Version("1.20")
+is_numpy_dev = _nlv.dev is not None
 _min_numpy_ver = "1.17.3"
 
 
-if _nlv < _min_numpy_ver:
+if _nlv < Version(_min_numpy_ver):
     raise ImportError(
         f"this version of pandas is incompatible with numpy < {_min_numpy_ver}\n"
         f"your numpy version is {_np_version}.\n"

pandas/compat/numpy/function.py

@@ -15,7 +15,6 @@
 methods that are spread throughout the codebase. This module will make it
 easier to adjust to future upstream changes in the analogous numpy signatures.
 """
-from distutils.version import LooseVersion
 from typing import (
     Any,
     Dict,
@@ -39,6 +38,8 @@
     validate_kwargs,
 )
 
+from pandas.util.version import Version
+
 
 class CompatValidator:
     def __init__(
@@ -128,7 +129,7 @@ def validate_argmax_with_skipna(skipna, args, kwargs):
 ARGSORT_DEFAULTS["kind"] = "quicksort"
 ARGSORT_DEFAULTS["order"] = None
 
-if LooseVersion(__version__) >= LooseVersion("1.17.0"):
+if Version(__version__) >= Version("1.17.0"):
     # GH-26361. NumPy added radix sort and changed default to None.
     ARGSORT_DEFAULTS["kind"] = None
 

pandas/compat/pyarrow.py

@@ -1,16 +1,16 @@
 """ support pyarrow compatibility across versions """
 
-from distutils.version import LooseVersion
+from pandas.util.version import Version
 
 try:
     import pyarrow as pa
 
     _pa_version = pa.__version__
-    _palv = LooseVersion(_pa_version)
-    pa_version_under1p0 = _palv < LooseVersion("1.0.0")
-    pa_version_under2p0 = _palv < LooseVersion("2.0.0")
-    pa_version_under3p0 = _palv < LooseVersion("3.0.0")
-    pa_version_under4p0 = _palv < LooseVersion("4.0.0")
+    _palv = Version(_pa_version)
+    pa_version_under1p0 = _palv < Version("1.0.0")
+    pa_version_under2p0 = _palv < Version("2.0.0")
+    pa_version_under3p0 = _palv < Version("3.0.0")
+    pa_version_under4p0 = _palv < Version("4.0.0")
 except ImportError:
     pa_version_under1p0 = True
     pa_version_under2p0 = True

pandas/core/arrays/string_arrow.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from distutils.version import LooseVersion
 import re
 from typing import (
     TYPE_CHECKING,
@@ -53,6 +52,7 @@
     validate_indices,
 )
 from pandas.core.strings.object_array import ObjectStringArrayMixin
+from pandas.util.version import Version
 
 try:
     import pyarrow as pa
@@ -62,7 +62,7 @@
     # PyArrow backed StringArrays are available starting at 1.0.0, but this
     # file is imported from even if pyarrow is < 1.0.0, before pyarrow.compute
     # and its compute functions existed. GH38801
-    if LooseVersion(pa.__version__) >= "1.0.0":
+    if Version(pa.__version__) >= Version("1.0.0"):
         import pyarrow.compute as pc
 
         ARROW_CMP_FUNCS = {
@@ -232,7 +232,7 @@ def __init__(self, values):
     def _chk_pyarrow_available(cls) -> None:
         # TODO: maybe update import_optional_dependency to allow a minimum
         # version to be specified rather than use the global minimum
-        if pa is None or LooseVersion(pa.__version__) < "1.0.0":
+        if pa is None or Version(pa.__version__) < Version("1.0.0"):
             msg = "pyarrow>=1.0.0 is required for PyArrow backed StringArray."
             raise ImportError(msg)
 

pandas/core/computation/ops.py

@@ -5,7 +5,6 @@
 from __future__ import annotations
 
 from datetime import datetime
-from distutils.version import LooseVersion
 from functools import partial
 import operator
 from typing import (
@@ -28,6 +27,7 @@
     result_type_many,
 )
 from pandas.core.computation.scope import DEFAULT_GLOBALS
+from pandas.util.version import Version
 
 from pandas.io.formats.printing import (
     pprint_thing,
@@ -623,7 +623,7 @@ def __init__(self, name: str):
 
         if name not in MATHOPS or (
             NUMEXPR_INSTALLED
-            and NUMEXPR_VERSION < LooseVersion("2.6.9")
+            and Version(NUMEXPR_VERSION) < Version("2.6.9")
             and name in ("floor", "ceil")
         ):
             raise ValueError(f'"{name}" is not a supported function')