BUG: read-only values in cython funcs

doc/source/whatsnew/v1.2.0.rst

@@ -394,11 +394,13 @@ Datetimelike
 - Bug in :meth:`TimedeltaIndex.sum` and :meth:`Series.sum` with ``timedelta64`` dtype on an empty index or series returning ``NaT`` instead of ``Timedelta(0)`` (:issue:`31751`)
 - Bug in :meth:`DatetimeArray.shift` incorrectly allowing ``fill_value`` with a mismatched timezone (:issue:`37299`)
 - Bug in adding a :class:`BusinessDay` with nonzero ``offset`` to a non-scalar other (:issue:`37457`)
+- Bug in :func:`to_datetime` with a read-only array incorrectly raising (:issue:`34857`)
 
 Timedelta
 ^^^^^^^^^
 - Bug in :class:`TimedeltaIndex`, :class:`Series`, and :class:`DataFrame` floor-division with ``timedelta64`` dtypes and ``NaT`` in the denominator (:issue:`35529`)
 - Bug in parsing of ISO 8601 durations in :class:`Timedelta`, :meth:`pd.to_datetime` (:issue:`37159`, fixes :issue:`29773` and :issue:`36204`)
+- Bug in :func:`to_timedelta` with a read-only array incorrectly raising (:issue:`34857`)
 
 Timezones
 ^^^^^^^^^

pandas/_libs/join.pyx

@@ -268,7 +268,7 @@ ctypedef fused join_t:
 
 @cython.wraparound(False)
 @cython.boundscheck(False)
-def left_join_indexer_unique(join_t[:] left, join_t[:] right):
+def left_join_indexer_unique(ndarray[join_t] left, ndarray[join_t] right):
     cdef:
         Py_ssize_t i, j, nleft, nright
         ndarray[int64_t] indexer

pandas/_libs/tslibs/strptime.pyx

@@ -12,7 +12,7 @@ from _thread import allocate_lock as _thread_allocate_lock
 import numpy as np
 import pytz
 
-from numpy cimport int64_t
+from numpy cimport int64_t, ndarray
 
 from pandas._libs.tslibs.nattype cimport (
     NPY_NAT,
@@ -51,7 +51,7 @@ cdef dict _parse_code_table = {'y': 0,
                                'u': 22}
 
 
-def array_strptime(object[:] values, object fmt, bint exact=True, errors='raise'):
+def array_strptime(ndarray[object] values, object fmt, bint exact=True, errors='raise'):
     """
     Calculates the datetime structs represented by the passed array of strings
 

pandas/_libs/tslibs/timedeltas.pyx

@@ -227,7 +227,7 @@ cdef convert_to_timedelta64(object ts, str unit):
 
 @cython.boundscheck(False)
 @cython.wraparound(False)
-def array_to_timedelta64(object[:] values, str unit=None, str errors="raise"):
+def array_to_timedelta64(ndarray[object] values, str unit=None, str errors="raise"):
     """
     Convert an ndarray to an array of timedeltas. If errors == 'coerce',
     coerce non-convertible objects to NaT. Otherwise, raise.

pandas/tests/libs/test_join.py

@@ -135,9 +135,14 @@ def test_cython_inner_join(self):
         tm.assert_numpy_array_equal(rs, exp_rs, check_dtype=False)
 
 
-def test_left_join_indexer_unique():
+@pytest.mark.parametrize("readonly", [True, False])
+def test_left_join_indexer_unique(readonly):
     a = np.array([1, 2, 3, 4, 5], dtype=np.int64)
     b = np.array([2, 2, 3, 4, 4], dtype=np.int64)
+    if readonly:
+        # GH#37312, GH#37264
+        a.setflags(write=False)
+        b.setflags(write=False)
 
     result = libjoin.left_join_indexer_unique(b, a)
     expected = np.array([1, 1, 2, 3, 3], dtype=np.int64)

pandas/tests/tools/test_to_datetime.py

@@ -36,6 +36,14 @@
 
 
 class TestTimeConversionFormats:
+    def test_to_datetime_readonly(self):
+        # GH#34857
+        arr = np.array([], dtype=object)
+        arr.setflags(write=False)
+        result = to_datetime(arr)
+        expected = to_datetime([])
+        tm.assert_index_equal(result, expected)
+
     @pytest.mark.parametrize("cache", [True, False])
     def test_to_datetime_format(self, cache):
         values = ["1/1/2000", "1/2/2000", "1/3/2000"]

pandas/tests/tools/test_to_timedelta.py

@@ -9,6 +9,14 @@
 
 
 class TestTimedeltas:
+    def test_to_timedelta_readonly(self):
+        # GH#34857
+        arr = np.array([], dtype=object)
+        arr.setflags(write=False)
+        result = to_timedelta(arr)
+        expected = to_timedelta([])
+        tm.assert_index_equal(result, expected)
+
     def test_to_timedelta(self):
 
         result = to_timedelta(["", ""])