fix: replace PyObject_Malloc with PyMem_Malloc

Author: Alvaro-Kothe

pandas/_libs/src/datetime/date_conversions.c

@@ -49,7 +49,7 @@ char *int64ToIso(int64_t value, NPY_DATETIMEUNIT valueUnit,
   pandas_datetime_to_datetimestruct(value, valueUnit, &dts);
 
   *len = (size_t)get_datetime_iso_8601_strlen(0, base);
-  char *result = PyObject_Malloc(*len);
+  char *result = PyMem_Malloc(*len);
 
   if (result == NULL) {
     PyErr_NoMemory();
@@ -78,7 +78,7 @@ char *int64ToIsoDuration(int64_t value, size_t *len) {
 
   // Max theoretical length of ISO Duration with 64 bit day
   // as the largest unit is 70 characters + 1 for a null terminator
-  char *result = PyObject_Malloc(71);
+  char *result = PyMem_Malloc(71);
   if (result == NULL) {
     PyErr_NoMemory();
     return NULL;

pandas/_libs/src/datetime/pd_datetime.c

@@ -170,7 +170,7 @@ static char *PyDateTimeToIso(PyObject *obj, NPY_DATETIMEUNIT base,
   }
 
   *len = (size_t)get_datetime_iso_8601_strlen(0, base);
-  char *result = PyObject_Malloc(*len);
+  char *result = PyMem_Malloc(*len);
   // Check to see if PyDateTime has a timezone.
   // Don't convert to UTC if it doesn't.
   int is_tz_aware = 0;

pandas/_libs/src/vendored/ujson/python/objToJSON.c

@@ -1008,7 +1008,7 @@ static const char *List_iterGetName(JSOBJ Py_UNUSED(obj),
 //=============================================================================
 static void Index_iterBegin(JSOBJ Py_UNUSED(obj), JSONTypeContext *tc) {
   GET_TC(tc)->index = 0;
-  GET_TC(tc)->cStr = PyObject_Malloc(20);
+  GET_TC(tc)->cStr = PyMem_Malloc(20);
   if (!GET_TC(tc)->cStr) {
     PyErr_NoMemory();
   }
@@ -1058,7 +1058,7 @@ static void Series_iterBegin(JSOBJ Py_UNUSED(obj), JSONTypeContext *tc) {
   PyObjectEncoder *enc = (PyObjectEncoder *)tc->encoder;
   GET_TC(tc)->index = 0;
   enc->outputFormat = VALUES; // for contained series
-  GET_TC(tc)->cStr = PyObject_Malloc(20);
+  GET_TC(tc)->cStr = PyMem_Malloc(20);
   if (!GET_TC(tc)->cStr) {
     PyErr_NoMemory();
   }
@@ -1113,7 +1113,7 @@ static void DataFrame_iterBegin(JSOBJ Py_UNUSED(obj), JSONTypeContext *tc) {
   PyObjectEncoder *enc = (PyObjectEncoder *)tc->encoder;
   GET_TC(tc)->index = 0;
   enc->outputFormat = VALUES; // for contained series & index
-  GET_TC(tc)->cStr = PyObject_Malloc(20);
+  GET_TC(tc)->cStr = PyMem_Malloc(20);
   if (!GET_TC(tc)->cStr) {
     PyErr_NoMemory();
   }
@@ -1905,7 +1905,7 @@ static void Object_endTypeContext(JSOBJ Py_UNUSED(obj), JSONTypeContext *tc) {
     GET_TC(tc)->rowLabels = NULL;
     NpyArr_freeLabels(GET_TC(tc)->columnLabels, GET_TC(tc)->columnLabelsLen);
     GET_TC(tc)->columnLabels = NULL;
-    PyObject_Free((void *)GET_TC(tc)->cStr);
+    PyMem_Free((void *)GET_TC(tc)->cStr);
     GET_TC(tc)->cStr = NULL;
     PyObject_Free(tc->prv);
     tc->prv = NULL;
@@ -1929,7 +1929,7 @@ static const char *Object_getBigNumStringValue(JSOBJ obj, JSONTypeContext *tc,
                                                size_t *_outLen) {
   PyObject *repr = PyObject_Str(obj);
   const char *str = PyUnicode_AsUTF8AndSize(repr, (Py_ssize_t *)_outLen);
-  char *bytes = PyObject_Malloc(*_outLen + 1);
+  char *bytes = PyMem_Malloc(*_outLen + 1);
   memcpy(bytes, str, *_outLen + 1);
   GET_TC(tc)->cStr = bytes;