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Continued ujson cleanups #26222

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Merged
merged 3 commits into from
Apr 30, 2019
Merged

Continued ujson cleanups #26222

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b27352b
Converted static PyObject to PyTypeObject
WillAyd Apr 26, 2019
08e58b0
Removed unreachable PyLong check (was PyInt in python2)
WillAyd Apr 26, 2019
2f478f9
Removed unreachable condition for ndarray ndim < 0
WillAyd Apr 26, 2019
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87 changes: 35 additions & 52 deletions pandas/_libs/src/ujson/python/objToJSON.c
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Original file line number Diff line number Diff line change
Expand Up @@ -48,10 +48,9 @@ Numeric decoder derived from from TCL library
#include <../../../tslibs/src/datetime/np_datetime_strings.h>
#include "datetime.h"

static PyObject *type_decimal;

#define NPY_JSON_BUFSIZE 32768

static PyTypeObject *type_decimal;
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This was previously a static PyObject, but the CPython guide says you should never declare static PyObjects. Swapped over to PyTypeObject to match semantics of others in the extension:

https://docs.python.org/3/c-api/intro.html#objects-types-and-reference-counts

static PyTypeObject *cls_dataframe;
static PyTypeObject *cls_series;
static PyTypeObject *cls_index;
Expand Down Expand Up @@ -154,8 +153,8 @@ void *initObjToJSON(void)
PyObject *mod_pandas;
PyObject *mod_nattype;
PyObject *mod_decimal = PyImport_ImportModule("decimal");
type_decimal = PyObject_GetAttrString(mod_decimal, "Decimal");
Py_INCREF(type_decimal);
type_decimal =
(PyTypeObject *)PyObject_GetAttrString(mod_decimal, "Decimal");
Py_DECREF(mod_decimal);

PyDateTime_IMPORT;
Expand Down Expand Up @@ -628,44 +627,39 @@ void NpyArr_iterBegin(JSOBJ _obj, JSONTypeContext *tc) {
obj = (PyArrayObject *)_obj;
}

if (PyArray_SIZE(obj) < 0) {
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This branch of the condition was unreachable

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@shoyer is there some special case this might have been intended for?

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I'm not familiar with the context here, but I agree that this was unreachable.

Maybe it was intended to cover size 0 arrays, may not be representable in JSON? e.g., an shape with shape (0, 1)

PRINTMARK();
GET_TC(tc)->iterNext = NpyArr_iterNextNone;
PRINTMARK();
npyarr = PyObject_Malloc(sizeof(NpyArrContext));
GET_TC(tc)->npyarr = npyarr;

if (!npyarr) {
PyErr_NoMemory();
GET_TC(tc)->iterNext = NpyArr_iterNextNone;
return;
}

npyarr->array = (PyObject *)obj;
npyarr->getitem = (PyArray_GetItemFunc *)PyArray_DESCR(obj)->f->getitem;
npyarr->dataptr = PyArray_DATA(obj);
npyarr->ndim = PyArray_NDIM(obj) - 1;
npyarr->curdim = 0;
npyarr->type_num = PyArray_DESCR(obj)->type_num;

if (GET_TC(tc)->transpose) {
npyarr->dim = PyArray_DIM(obj, npyarr->ndim);
npyarr->stride = PyArray_STRIDE(obj, npyarr->ndim);
npyarr->stridedim = npyarr->ndim;
npyarr->index[npyarr->ndim] = 0;
npyarr->inc = -1;
} else {
PRINTMARK();
npyarr = PyObject_Malloc(sizeof(NpyArrContext));
GET_TC(tc)->npyarr = npyarr;

if (!npyarr) {
PyErr_NoMemory();
GET_TC(tc)->iterNext = NpyArr_iterNextNone;
return;
}

npyarr->array = (PyObject *)obj;
npyarr->getitem = (PyArray_GetItemFunc *)PyArray_DESCR(obj)->f->getitem;
npyarr->dataptr = PyArray_DATA(obj);
npyarr->ndim = PyArray_NDIM(obj) - 1;
npyarr->curdim = 0;
npyarr->type_num = PyArray_DESCR(obj)->type_num;

if (GET_TC(tc)->transpose) {
npyarr->dim = PyArray_DIM(obj, npyarr->ndim);
npyarr->stride = PyArray_STRIDE(obj, npyarr->ndim);
npyarr->stridedim = npyarr->ndim;
npyarr->index[npyarr->ndim] = 0;
npyarr->inc = -1;
} else {
npyarr->dim = PyArray_DIM(obj, 0);
npyarr->stride = PyArray_STRIDE(obj, 0);
npyarr->stridedim = 0;
npyarr->index[0] = 0;
npyarr->inc = 1;
}

npyarr->columnLabels = GET_TC(tc)->columnLabels;
npyarr->rowLabels = GET_TC(tc)->rowLabels;
npyarr->dim = PyArray_DIM(obj, 0);
npyarr->stride = PyArray_STRIDE(obj, 0);
npyarr->stridedim = 0;
npyarr->index[0] = 0;
npyarr->inc = 1;
}

npyarr->columnLabels = GET_TC(tc)->columnLabels;
npyarr->rowLabels = GET_TC(tc)->rowLabels;
}

void NpyArr_iterEnd(JSOBJ obj, JSONTypeContext *tc) {
Expand Down Expand Up @@ -1750,17 +1744,6 @@ void Object_beginTypeContext(JSOBJ _obj, JSONTypeContext *tc) {
goto INVALID;
}

return;
} else if (PyLong_Check(obj)) {
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Also unreachable; this used to be PyInt_Check so could yield something in Python2, but with switch to Python3 was duplicative of the PyLong_Check that immediately preceded it

PRINTMARK();

#ifdef _LP64
pc->PyTypeToJSON = PyIntToINT64;
tc->type = JT_LONG;
#else
pc->PyTypeToJSON = PyIntToINT32;
tc->type = JT_INT;
#endif
return;
} else if (PyFloat_Check(obj)) {
PRINTMARK();
Expand All @@ -1782,7 +1765,7 @@ void Object_beginTypeContext(JSOBJ _obj, JSONTypeContext *tc) {
pc->PyTypeToJSON = PyUnicodeToUTF8;
tc->type = JT_UTF8;
return;
} else if (PyObject_IsInstance(obj, type_decimal)) {
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are there any Decimal subclasses to worry about?

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PyObject_TypeCheck returns true for subtypes as well, so I don't think that matters:

https://docs.python.org/3.7/c-api/object.html#c.PyObject_TypeCheck

} else if (PyObject_TypeCheck(obj, type_decimal)) {
PRINTMARK();
pc->PyTypeToJSON = PyFloatToDOUBLE;
tc->type = JT_DOUBLE;
Expand Down