/*
Copyright (c) 2011-2013, ESN Social Software AB and Jonas Tarnstrom
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the ESN Social Software AB nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL ESN SOCIAL SOFTWARE AB OR JONAS TARNSTROM BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
http://code.google.com/p/stringencoders/
Copyright (c) 2007  Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.

Numeric decoder derived from from TCL library
http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
#define PY_ARRAY_UNIQUE_SYMBOL UJSON_NUMPY

#include "py_defines.h"
#include <numpy/arrayobject.h>
#include <numpy/arrayscalars.h>
#include <np_datetime.h>
#include <np_datetime_strings.h>
#include <datetime_helper.h>
#include <numpy_helper.h>
#include <numpy/npy_math.h>
#include <math.h>
#include <stdio.h>
#include <ultrajson.h>

static PyObject* type_decimal;

#define NPY_JSON_BUFSIZE 32768

static PyTypeObject* cls_dataframe;
static PyTypeObject* cls_series;
static PyTypeObject* cls_index;
static PyTypeObject* cls_nat;

typedef void *(*PFN_PyTypeToJSON)(JSOBJ obj, JSONTypeContext *ti, void *outValue, size_t *_outLen);

#if (PY_VERSION_HEX < 0x02050000)
typedef ssize_t Py_ssize_t;
#endif


typedef struct __NpyArrContext
{
  PyObject *array;
  char* dataptr;
  int curdim;         // current dimension in array's order
  int stridedim;      // dimension we are striding over
  int inc;            // stride dimension increment (+/- 1)
  npy_intp dim;
  npy_intp stride;
  npy_intp ndim;
  npy_intp index[NPY_MAXDIMS];
  int type_num;
  PyArray_GetItemFunc* getitem;

  char** rowLabels;
  char** columnLabels;
} NpyArrContext;

typedef struct __PdBlockContext
{
  int colIdx;
  int ncols;
  int transpose;

  int* cindices;             // frame column -> block column map
  NpyArrContext** npyCtxts;  // NpyArrContext for each column
} PdBlockContext;

typedef struct __TypeContext
{
  JSPFN_ITERBEGIN iterBegin;
  JSPFN_ITEREND iterEnd;
  JSPFN_ITERNEXT iterNext;
  JSPFN_ITERGETNAME iterGetName;
  JSPFN_ITERGETVALUE iterGetValue;
  PFN_PyTypeToJSON PyTypeToJSON;
  PyObject *newObj;
  PyObject *dictObj;
  Py_ssize_t index;
  Py_ssize_t size;
  PyObject *itemValue;
  PyObject *itemName;
  PyObject *attrList;
  PyObject *iterator;

  double doubleValue;
  JSINT64 longValue;

  char *cStr;
  NpyArrContext *npyarr;
  PdBlockContext *pdblock;
  int transpose;
  char** rowLabels;
  char** columnLabels;
  npy_intp rowLabelsLen;
  npy_intp columnLabelsLen;
} TypeContext;

typedef struct __PyObjectEncoder
{
    JSONObjectEncoder enc;

    // pass through the NpyArrContext when encoding multi-dimensional arrays
    NpyArrContext* npyCtxtPassthru;

    // pass through the PdBlockContext when encoding blocks
    PdBlockContext* blkCtxtPassthru;

    // pass-through to encode numpy data directly
    int npyType;
    void* npyValue;
    TypeContext basicTypeContext;

    int datetimeIso;
    PANDAS_DATETIMEUNIT datetimeUnit;

    // output format style for pandas data types
    int outputFormat;
    int originalOutputFormat;

    PyObject *defaultHandler;
} PyObjectEncoder;

#define GET_TC(__ptrtc) ((TypeContext *)((__ptrtc)->prv))

enum PANDAS_FORMAT
{
  SPLIT,
  RECORDS,
  INDEX,
  COLUMNS,
  VALUES
};

//#define PRINTMARK() fprintf(stderr, "%s: MARK(%d)\n", __FILE__, __LINE__)
#define PRINTMARK()

// import_array() compat
#if (PY_VERSION_HEX >= 0x03000000)
void *initObjToJSON(void)

#else
void initObjToJSON(void)
#endif
{
  PyObject *mod_pandas;
  PyObject *mod_tslib;
  PyObject* mod_decimal = PyImport_ImportModule("decimal");
  type_decimal = PyObject_GetAttrString(mod_decimal, "Decimal");
  Py_INCREF(type_decimal);
  Py_DECREF(mod_decimal);

  PyDateTime_IMPORT;

  mod_pandas = PyImport_ImportModule("pandas");
  if (mod_pandas)
  {
    cls_dataframe = (PyTypeObject*) PyObject_GetAttrString(mod_pandas, "DataFrame");
    cls_index = (PyTypeObject*) PyObject_GetAttrString(mod_pandas, "Index");
    cls_series = (PyTypeObject*) PyObject_GetAttrString(mod_pandas, "Series");
    Py_DECREF(mod_pandas);
  }

  mod_tslib = PyImport_ImportModule("pandas.tslib");
  if (mod_tslib)
  {
    cls_nat = (PyTypeObject*) PyObject_GetAttrString(mod_tslib, "NaTType");
    Py_DECREF(mod_tslib);
  }

  /* Initialise numpy API and use 2/3 compatible return */
  import_array();
  return NUMPY_IMPORT_ARRAY_RETVAL;
}

static TypeContext* createTypeContext(void)
{
  TypeContext *pc;

  pc = PyObject_Malloc(sizeof(TypeContext));
  if (!pc)
  {
    PyErr_NoMemory();
    return NULL;
  }
  pc->newObj = NULL;
  pc->dictObj = NULL;
  pc->itemValue = NULL;
  pc->itemName = NULL;
  pc->attrList = NULL;
  pc->index = 0;
  pc->size = 0;
  pc->longValue = 0;
  pc->doubleValue = 0.0;
  pc->cStr = NULL;
  pc->npyarr = NULL;
  pc->pdblock = NULL;
  pc->rowLabels = NULL;
  pc->columnLabels = NULL;
  pc->transpose = 0;
  pc->rowLabelsLen = 0;
  pc->columnLabelsLen = 0;

  return pc;
}

static PyObject* get_sub_attr(PyObject *obj, char *attr, char *subAttr)
{
  PyObject *tmp = PyObject_GetAttrString(obj, attr);
  PyObject *ret;

  if (tmp == 0)
  {
    return 0;
  }
  ret = PyObject_GetAttrString(tmp, subAttr);
  Py_DECREF(tmp);

  return ret;
}

static int is_simple_frame(PyObject *obj)
{
  PyObject *check = get_sub_attr(obj, "_data", "is_mixed_type");
  int ret = (check == Py_False);

  if (!check)
  {
    return 0;
  }

  Py_DECREF(check);
  return ret;
}

static Py_ssize_t get_attr_length(PyObject *obj, char *attr)
{
  PyObject *tmp = PyObject_GetAttrString(obj, attr);
  Py_ssize_t ret;

  if (tmp == 0)
  {
    return 0;
  }
  ret = PyObject_Length(tmp);
  Py_DECREF(tmp);

  if (ret == -1)
  {
    return 0;
  }

  return ret;
}

static PyObject* get_item(PyObject *obj, Py_ssize_t i)
{
  PyObject *tmp = PyInt_FromSsize_t(i);
  PyObject *ret;

  if (tmp == 0)
  {
    return 0;
  }
  ret = PyObject_GetItem(obj, tmp);
  Py_DECREF(tmp);

  return ret;
}

static void *CDouble(JSOBJ obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PRINTMARK();
  *((double *) outValue) = GET_TC(tc)->doubleValue;
  return NULL;
}

static void *CLong(JSOBJ obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PRINTMARK();
  *((JSINT64 *) outValue) = GET_TC(tc)->longValue;
  return NULL;
}

#ifdef _LP64
static void *PyIntToINT64(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PyObject *obj = (PyObject *) _obj;
  *((JSINT64 *) outValue) = PyInt_AS_LONG (obj);
  return NULL;
}
#else
static void *PyIntToINT32(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PyObject *obj = (PyObject *) _obj;
  *((JSINT32 *) outValue) = PyInt_AS_LONG (obj);
  return NULL;
}
#endif

static void *PyLongToINT64(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  *((JSINT64 *) outValue) = GET_TC(tc)->longValue;
  return NULL;
}

static void *NpyFloatToDOUBLE(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PyObject *obj = (PyObject *) _obj;
  PyArray_CastScalarToCtype(obj, outValue, PyArray_DescrFromType(NPY_DOUBLE));
  return NULL;
}

static void *PyFloatToDOUBLE(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PyObject *obj = (PyObject *) _obj;
  *((double *) outValue) = PyFloat_AsDouble (obj);
  return NULL;
}

static void *PyStringToUTF8(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PyObject *obj = (PyObject *) _obj;
  *_outLen = PyString_GET_SIZE(obj);
  return PyString_AS_STRING(obj);
}

static void *PyUnicodeToUTF8(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  PyObject *obj = (PyObject *) _obj;
  PyObject *newObj = PyUnicode_EncodeUTF8 (PyUnicode_AS_UNICODE(obj), PyUnicode_GET_SIZE(obj), NULL);

  GET_TC(tc)->newObj = newObj;

  *_outLen = PyString_GET_SIZE(newObj);
  return PyString_AS_STRING(newObj);
}

static void *PandasDateTimeStructToJSON(pandas_datetimestruct *dts, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  int base = ((PyObjectEncoder*) tc->encoder)->datetimeUnit;

  if (((PyObjectEncoder*) tc->encoder)->datetimeIso)
  {
    PRINTMARK();
    *_outLen = (size_t) get_datetime_iso_8601_strlen(0, base);
    GET_TC(tc)->cStr = PyObject_Malloc(sizeof(char) * (*_outLen));
    if (!GET_TC(tc)->cStr)
    {
      PyErr_NoMemory();
      ((JSONObjectEncoder*) tc->encoder)->errorMsg = "";
      return NULL;
    }

    if (!make_iso_8601_datetime(dts, GET_TC(tc)->cStr, *_outLen, 0, base, -1, NPY_UNSAFE_CASTING))
    {
      PRINTMARK();
      *_outLen = strlen(GET_TC(tc)->cStr);
      return GET_TC(tc)->cStr;
    }
    else
    {
      PRINTMARK();
      PyErr_SetString(PyExc_ValueError, "Could not convert datetime value to string");
      ((JSONObjectEncoder*) tc->encoder)->errorMsg = "";
      PyObject_Free(GET_TC(tc)->cStr);
      return NULL;
    }
  }
  else
  {
    PRINTMARK();
    *((JSINT64*)outValue) = pandas_datetimestruct_to_datetime(base, dts);
    return NULL;
  }
}

static void *NpyDateTimeScalarToJSON(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  pandas_datetimestruct dts;
  PyDatetimeScalarObject *obj = (PyDatetimeScalarObject *) _obj;
  PRINTMARK();

  pandas_datetime_to_datetimestruct(obj->obval, obj->obmeta.base, &dts);
  return PandasDateTimeStructToJSON(&dts, tc, outValue, _outLen);
}

static void *PyDateTimeToJSON(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  pandas_datetimestruct dts;
  PyObject *obj = (PyObject *) _obj;

  PRINTMARK();

  if (!convert_pydatetime_to_datetimestruct(obj, &dts, NULL, 1))
  {
    PRINTMARK();
    return PandasDateTimeStructToJSON(&dts, tc, outValue, _outLen);
  }
  else
  {
    if (!PyErr_Occurred())
    {
      PyErr_SetString(PyExc_ValueError, "Could not convert datetime value to string");
    }
    ((JSONObjectEncoder*) tc->encoder)->errorMsg = "";
    return NULL;
  }
}

static void *NpyDatetime64ToJSON(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *_outLen)
{
  pandas_datetimestruct dts;
  PRINTMARK();

  pandas_datetime_to_datetimestruct(
      (npy_datetime) GET_TC(tc)->longValue,
      PANDAS_FR_ns, &dts);
  return PandasDateTimeStructToJSON(&dts, tc, outValue, _outLen);
}

static void *PyTimeToJSON(JSOBJ _obj, JSONTypeContext *tc, void *outValue, size_t *outLen)
{
  PyObject *obj = (PyObject *) _obj;
  PyObject *str;
  PyObject *tmp;

  str = PyObject_CallMethod(obj, "isoformat", NULL);
  if (str == NULL) {
    PRINTMARK();
    PyErr_SetString(PyExc_ValueError, "Failed to convert time");
    return NULL;
  }
  if (PyUnicode_Check(str)) 
  {
    tmp = str;
    str = PyUnicode_AsUTF8String(str);
    Py_DECREF(tmp);
  }
  outValue = (void *) PyString_AS_STRING (str);
  *outLen = strlen ((char *) outValue);
  Py_DECREF(str);
  return outValue;
}

static int NpyTypeToJSONType(PyObject* obj, JSONTypeContext* tc, int npyType, void* value)
{
  PyArray_VectorUnaryFunc* castfunc;
  npy_double doubleVal;
  npy_int64 longVal;

  if (PyTypeNum_ISFLOAT(npyType))
  {
    PRINTMARK();
    castfunc = PyArray_GetCastFunc(PyArray_DescrFromType(npyType), NPY_DOUBLE);
    if (!castfunc) 
    {
      PyErr_Format (
          PyExc_ValueError,
          "Cannot cast numpy dtype %d to double",
          npyType);
    }
    castfunc(value, &doubleVal, 1, NULL, NULL);
    if (npy_isnan(doubleVal) || npy_isinf(doubleVal))
    {
      PRINTMARK();
      return JT_NULL;
    }
    GET_TC(tc)->doubleValue = (double) doubleVal;
    GET_TC(tc)->PyTypeToJSON = CDouble;
    return JT_DOUBLE;
  }

  if (PyTypeNum_ISDATETIME(npyType))
  {
    PRINTMARK();
    castfunc = PyArray_GetCastFunc(PyArray_DescrFromType(npyType), NPY_INT64);
    if (!castfunc) 
    {
      PyErr_Format (
          PyExc_ValueError,
          "Cannot cast numpy dtype %d to long",
          npyType);
    }
    castfunc(value, &longVal, 1, NULL, NULL);
    if (longVal == get_nat())
    {
      PRINTMARK();
      return JT_NULL;
    }
    GET_TC(tc)->longValue = (JSINT64) longVal;
    GET_TC(tc)->PyTypeToJSON = NpyDatetime64ToJSON;
    return ((PyObjectEncoder *) tc->encoder)->datetimeIso ? JT_UTF8 : JT_LONG;
  }

  if (PyTypeNum_ISINTEGER(npyType))
  {
    PRINTMARK();
    castfunc = PyArray_GetCastFunc(PyArray_DescrFromType(npyType), NPY_INT64);
    if (!castfunc)
    {
      PyErr_Format (
          PyExc_ValueError,
          "Cannot cast numpy dtype %d to long",
          npyType);
    }
    castfunc(value, &longVal, 1, NULL, NULL);
    GET_TC(tc)->longValue = (JSINT64) longVal;
    GET_TC(tc)->PyTypeToJSON = CLong;
    return JT_LONG;
  }

  if (PyTypeNum_ISBOOL(npyType))
  {
    PRINTMARK();
    return *((npy_bool *) value) == NPY_TRUE ? JT_TRUE : JT_FALSE;
  }

  PRINTMARK();
  PyErr_Format (
      PyExc_RuntimeError,
      "Unhandled numpy dtype %d",
      npyType);
  return JT_INVALID;
}


//=============================================================================
// Numpy array iteration functions
//=============================================================================

static void NpyArr_freeItemValue(JSOBJ _obj, JSONTypeContext *tc)
{
  if (GET_TC(tc)->npyarr && GET_TC(tc)->itemValue != GET_TC(tc)->npyarr->array)
  {
    PRINTMARK();
    Py_XDECREF(GET_TC(tc)->itemValue);
    GET_TC(tc)->itemValue = NULL;
  }
}

int NpyArr_iterNextNone(JSOBJ _obj, JSONTypeContext *tc)
{
  return 0;
}

void NpyArr_iterBegin(JSOBJ _obj, JSONTypeContext *tc)
{
  PyArrayObject *obj;
  NpyArrContext *npyarr;

  if (GET_TC(tc)->newObj)
  {
    obj = (PyArrayObject *) GET_TC(tc)->newObj;
  }
  else
  {
    obj = (PyArrayObject *) _obj;
  }

  if (PyArray_SIZE(obj) > 0)
  {
    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;
  }
  else
  {
    PRINTMARK();
    GET_TC(tc)->iterNext = NpyArr_iterNextNone;
  }
}

void NpyArr_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  NpyArrContext *npyarr = GET_TC(tc)->npyarr;
  PRINTMARK();

  if (npyarr)
  {
    NpyArr_freeItemValue(obj, tc);
    PyObject_Free(npyarr);
  }
}

void NpyArrPassThru_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  PRINTMARK();
}

void NpyArrPassThru_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  NpyArrContext* npyarr = GET_TC(tc)->npyarr;
  PRINTMARK();
  // finished this dimension, reset the data pointer
  npyarr->curdim--;
  npyarr->dataptr -= npyarr->stride * npyarr->index[npyarr->stridedim];
  npyarr->stridedim -= npyarr->inc;
  npyarr->dim = PyArray_DIM(npyarr->array, npyarr->stridedim);
  npyarr->stride = PyArray_STRIDE(npyarr->array, npyarr->stridedim);
  npyarr->dataptr += npyarr->stride;

  NpyArr_freeItemValue(obj, tc);
}

int NpyArr_iterNextItem(JSOBJ obj, JSONTypeContext *tc)
{
  NpyArrContext* npyarr = GET_TC(tc)->npyarr;
  PRINTMARK();

  if (PyErr_Occurred())
  {
    return 0;
  }

  if (npyarr->index[npyarr->stridedim] >= npyarr->dim)
  {
    PRINTMARK();
    return 0;
  }

  NpyArr_freeItemValue(obj, tc);

#if NPY_API_VERSION < 0x00000007
  if(PyArray_ISDATETIME(npyarr->array))
  {
    PRINTMARK();
    GET_TC(tc)->itemValue = PyArray_ToScalar(npyarr->dataptr, npyarr->array);
  }
  else
  if (PyArray_ISNUMBER(npyarr->array))
#else
  if (PyArray_ISNUMBER(npyarr->array) || PyArray_ISDATETIME(npyarr->array))
#endif
  {
    PRINTMARK();
    GET_TC(tc)->itemValue = obj;
    Py_INCREF(obj);
    ((PyObjectEncoder*) tc->encoder)->npyType = PyArray_TYPE(npyarr->array);
    ((PyObjectEncoder*) tc->encoder)->npyValue = npyarr->dataptr;
  }
  else
  {
    PRINTMARK();
    GET_TC(tc)->itemValue = npyarr->getitem(npyarr->dataptr, npyarr->array);
  }

  npyarr->dataptr += npyarr->stride;
  npyarr->index[npyarr->stridedim]++;
  return 1;
}

int NpyArr_iterNext(JSOBJ _obj, JSONTypeContext *tc)
{
  NpyArrContext* npyarr = GET_TC(tc)->npyarr;
  PRINTMARK();

  if (PyErr_Occurred())
  {
    PRINTMARK();
    return 0;
  }

  if (npyarr->curdim >= npyarr->ndim || npyarr->index[npyarr->stridedim] >= npyarr->dim)
  {
    PRINTMARK();
    // innermost dimension, start retrieving item values
    GET_TC(tc)->iterNext = NpyArr_iterNextItem;
    return NpyArr_iterNextItem(_obj, tc);
  }

  // dig a dimension deeper
  npyarr->index[npyarr->stridedim]++;

  npyarr->curdim++;
  npyarr->stridedim += npyarr->inc;
  npyarr->dim = PyArray_DIM(npyarr->array, npyarr->stridedim);
  npyarr->stride = PyArray_STRIDE(npyarr->array, npyarr->stridedim);
  npyarr->index[npyarr->stridedim] = 0;

  ((PyObjectEncoder*) tc->encoder)->npyCtxtPassthru = npyarr;
  GET_TC(tc)->itemValue = npyarr->array;
  return 1;
}

JSOBJ NpyArr_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  PRINTMARK();
  return GET_TC(tc)->itemValue;
}

static void NpyArr_getLabel(JSOBJ obj, JSONTypeContext *tc, size_t *outLen, npy_intp idx, char** labels)
{
  JSONObjectEncoder* enc = (JSONObjectEncoder*) tc->encoder;
  PRINTMARK();
  *outLen = strlen(labels[idx]);
  memcpy(enc->offset, labels[idx], sizeof(char)*(*outLen));
  enc->offset += *outLen;
  *outLen = 0;
}

char *NpyArr_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  NpyArrContext* npyarr = GET_TC(tc)->npyarr;
  npy_intp idx;
  PRINTMARK();

  if (GET_TC(tc)->iterNext == NpyArr_iterNextItem)
  {
    idx = npyarr->index[npyarr->stridedim] - 1;
    NpyArr_getLabel(obj, tc, outLen, idx, npyarr->columnLabels);
  }
  else
  {
    idx = npyarr->index[npyarr->stridedim - npyarr->inc] - 1;
    NpyArr_getLabel(obj, tc, outLen, idx, npyarr->rowLabels);
  }
  return NULL;
}


//=============================================================================
// Pandas block iteration functions
//
// Serialises a DataFrame column by column to avoid unnecessary data copies and
// more representative serialisation when dealing with mixed dtypes.
//
// Uses a dedicated NpyArrContext for each column.
//=============================================================================


void PdBlockPassThru_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  PdBlockContext *blkCtxt = GET_TC(tc)->pdblock;
  PRINTMARK();

  if (blkCtxt->transpose)
  {
    blkCtxt->colIdx++;
  }
  else
  {
    blkCtxt->colIdx = 0;
  }

  NpyArr_freeItemValue(obj, tc);
}

int PdBlock_iterNextItem(JSOBJ obj, JSONTypeContext *tc)
{
  PdBlockContext *blkCtxt = GET_TC(tc)->pdblock;
  PRINTMARK();

  if (blkCtxt->colIdx >= blkCtxt->ncols)
  {
    return 0;
  }

  GET_TC(tc)->npyarr = blkCtxt->npyCtxts[blkCtxt->colIdx];
  blkCtxt->colIdx++;
  return NpyArr_iterNextItem(obj, tc);
}

char *PdBlock_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  PdBlockContext *blkCtxt = GET_TC(tc)->pdblock;
  NpyArrContext *npyarr = blkCtxt->npyCtxts[0];
  npy_intp idx;
  PRINTMARK();

  if (GET_TC(tc)->iterNext == PdBlock_iterNextItem)
  {
    idx = blkCtxt->colIdx - 1;
    NpyArr_getLabel(obj, tc, outLen, idx, npyarr->columnLabels);
  }
  else
  {
    idx = npyarr->index[npyarr->stridedim - npyarr->inc] - 1;
    NpyArr_getLabel(obj, tc, outLen, idx, npyarr->rowLabels);
  }
  return NULL;
}

char *PdBlock_iterGetName_Transpose(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  PdBlockContext *blkCtxt = GET_TC(tc)->pdblock;
  NpyArrContext* npyarr = blkCtxt->npyCtxts[blkCtxt->colIdx];
  npy_intp idx;
  PRINTMARK();

  if (GET_TC(tc)->iterNext == NpyArr_iterNextItem)
  {
    idx = npyarr->index[npyarr->stridedim] - 1;
    NpyArr_getLabel(obj, tc, outLen, idx, npyarr->columnLabels);
  }
  else
  {
    idx = blkCtxt->colIdx;
    NpyArr_getLabel(obj, tc, outLen, idx, npyarr->rowLabels);
  }
  return NULL;
}

int PdBlock_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  PdBlockContext *blkCtxt = GET_TC(tc)->pdblock;
  NpyArrContext* npyarr;
  PRINTMARK();

  if (PyErr_Occurred())
  {
    return 0;
  }

  if (blkCtxt->transpose)
  {
    if (blkCtxt->colIdx >= blkCtxt->ncols)
    {
      return 0;
    }
  }
  else
  {
    npyarr = blkCtxt->npyCtxts[0];
    if (npyarr->index[npyarr->stridedim] >= npyarr->dim)
    {
      return 0;
    }
  }

  ((PyObjectEncoder*) tc->encoder)->blkCtxtPassthru = blkCtxt;
  GET_TC(tc)->itemValue = obj;

  return 1;
}

void PdBlockPassThru_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  PdBlockContext *blkCtxt = GET_TC(tc)->pdblock;
  PRINTMARK();

  if (blkCtxt->transpose)
  {
    // if transposed we exhaust each column before moving to the next
    GET_TC(tc)->iterNext = NpyArr_iterNextItem;
    GET_TC(tc)->iterGetName = PdBlock_iterGetName_Transpose;
    GET_TC(tc)->npyarr = blkCtxt->npyCtxts[blkCtxt->colIdx];
  }
}

void PdBlock_iterBegin(JSOBJ _obj, JSONTypeContext *tc)
{
  PyObject *obj, *blocks, *block, *values, *tmp;
  PyArrayObject *locs;
  PdBlockContext *blkCtxt;
  NpyArrContext *npyarr;
  Py_ssize_t i;
  PyArray_Descr *dtype;
  NpyIter *iter;
  NpyIter_IterNextFunc *iternext;
  npy_int64 **dataptr;
  npy_int64 colIdx;
  npy_intp idx;

  PRINTMARK();

  i = 0;
  blocks = NULL;
  dtype = PyArray_DescrFromType(NPY_INT64);
  obj = (PyObject *)_obj;

  GET_TC(tc)->iterGetName = GET_TC(tc)->transpose ? PdBlock_iterGetName_Transpose : PdBlock_iterGetName;

  blkCtxt = PyObject_Malloc(sizeof(PdBlockContext));
  if (!blkCtxt)
  {
    PyErr_NoMemory();
    GET_TC(tc)->iterNext = NpyArr_iterNextNone;
    goto BLKRET;
  }
  GET_TC(tc)->pdblock = blkCtxt;

  blkCtxt->colIdx = 0;
  blkCtxt->transpose = GET_TC(tc)->transpose;
  blkCtxt->ncols = get_attr_length(obj, "columns");

  if (blkCtxt->ncols == 0)
  {
    blkCtxt->npyCtxts = NULL;
    blkCtxt->cindices = NULL;

    GET_TC(tc)->iterNext = NpyArr_iterNextNone;
    goto BLKRET;
  }

  blkCtxt->npyCtxts = PyObject_Malloc(sizeof(NpyArrContext*) * blkCtxt->ncols);
  if (!blkCtxt->npyCtxts)
  {
    PyErr_NoMemory();
    GET_TC(tc)->iterNext = NpyArr_iterNextNone;
    goto BLKRET;
  }
  for (i = 0; i < blkCtxt->ncols; i++)
  {
    blkCtxt->npyCtxts[i] = NULL;
  }

  blkCtxt->cindices = PyObject_Malloc(sizeof(int) * blkCtxt->ncols);
  if (!blkCtxt->cindices)
  {
    PyErr_NoMemory();
    GET_TC(tc)->iterNext = NpyArr_iterNextNone;
    goto BLKRET;
  }

  blocks = get_sub_attr(obj, "_data", "blocks");
  if (!blocks)
  {
    GET_TC(tc)->iterNext = NpyArr_iterNextNone;
    goto BLKRET;
  }

  // force transpose so each NpyArrContext strides down its column
  GET_TC(tc)->transpose = 1;

  for (i = 0; i < PyObject_Length(blocks); i++)
  {
    block = get_item(blocks, i);
    if (!block)
    {
      GET_TC(tc)->iterNext = NpyArr_iterNextNone;
      goto BLKRET;
    }

    tmp = PyObject_GetAttrString(block, "values");
    if (!tmp)
    {
      Py_DECREF(block);
      GET_TC(tc)->iterNext = NpyArr_iterNextNone;
      goto BLKRET;
    }
    values = PyArray_Transpose((PyArrayObject*) tmp, NULL);
    Py_DECREF(tmp);
    if (!values)
    {
      Py_DECREF(block);
      GET_TC(tc)->iterNext = NpyArr_iterNextNone;
      goto BLKRET;
    }


    locs = (PyArrayObject*) get_sub_attr(block, "mgr_locs", "as_array");
    if (!locs)
    {
      Py_DECREF(block);
      Py_DECREF(values);
      GET_TC(tc)->iterNext = NpyArr_iterNextNone;
      goto BLKRET;
    }

    iter = NpyIter_New(locs, NPY_ITER_READONLY, NPY_KEEPORDER, NPY_NO_CASTING, dtype);
    if (!iter)
    {
      Py_DECREF(block);
      Py_DECREF(values);
      Py_DECREF(locs);
      GET_TC(tc)->iterNext = NpyArr_iterNextNone;
      goto BLKRET;
    }
    iternext = NpyIter_GetIterNext(iter, NULL);
    if (!iternext)
    {
      NpyIter_Deallocate(iter);
      Py_DECREF(block);
      Py_DECREF(values);
      Py_DECREF(locs);
      GET_TC(tc)->iterNext = NpyArr_iterNextNone;
      goto BLKRET;
    }
    dataptr = (npy_int64 **) NpyIter_GetDataPtrArray(iter);
    do
    {
        colIdx = **dataptr;
        idx = NpyIter_GetIterIndex(iter);

        blkCtxt->cindices[colIdx] = idx;

        // Reference freed in Pdblock_iterend
        Py_INCREF(values);
        GET_TC(tc)->newObj = values;

        // init a dedicated context for this column
        NpyArr_iterBegin(obj, tc);
        npyarr = GET_TC(tc)->npyarr;

        // set the dataptr to our desired column and initialise
        npyarr->dataptr += npyarr->stride * idx;
        NpyArr_iterNext(obj, tc);
        GET_TC(tc)->itemValue = NULL;
        ((PyObjectEncoder*) tc->encoder)->npyCtxtPassthru = NULL;

        blkCtxt->npyCtxts[colIdx] = npyarr;
        GET_TC(tc)->newObj = NULL;

    } while (iternext(iter));

    NpyIter_Deallocate(iter);
    Py_DECREF(block);
    Py_DECREF(values);
    Py_DECREF(locs);
  }
  GET_TC(tc)->npyarr = blkCtxt->npyCtxts[0];

BLKRET:
  Py_XDECREF(dtype);
  Py_XDECREF(blocks);
}

void PdBlock_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  PdBlockContext *blkCtxt;
  NpyArrContext *npyarr;
  int i;
  PRINTMARK();

  GET_TC(tc)->itemValue = NULL;
  npyarr = GET_TC(tc)->npyarr;

  blkCtxt = GET_TC(tc)->pdblock;

  if (blkCtxt)
  {
    for (i = 0; i < blkCtxt->ncols; i++)
    {
      npyarr = blkCtxt->npyCtxts[i];
      if (npyarr)
      {
        if (npyarr->array)
        {
          Py_DECREF(npyarr->array);
          npyarr->array = NULL;
        }

        GET_TC(tc)->npyarr = npyarr;
        NpyArr_iterEnd(obj, tc);

        blkCtxt->npyCtxts[i] = NULL;
      }
    }

    if (blkCtxt->npyCtxts)
    {
      PyObject_Free(blkCtxt->npyCtxts);
    }
    if (blkCtxt->cindices)
    {
      PyObject_Free(blkCtxt->cindices);
    }
    PyObject_Free(blkCtxt);
  }
}


//=============================================================================
// Tuple iteration functions
// itemValue is borrowed reference, no ref counting
//=============================================================================
void Tuple_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->index = 0;
  GET_TC(tc)->size = PyTuple_GET_SIZE( (PyObject *) obj);
  GET_TC(tc)->itemValue = NULL;
}

int Tuple_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  PyObject *item;

  if (GET_TC(tc)->index >= GET_TC(tc)->size)
  {
    return 0;
  }

  item = PyTuple_GET_ITEM (obj, GET_TC(tc)->index);

  GET_TC(tc)->itemValue = item;
  GET_TC(tc)->index ++;
  return 1;
}

void Tuple_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
}

JSOBJ Tuple_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->itemValue;
}

char *Tuple_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  return NULL;
}

//=============================================================================
// Iterator iteration functions
// itemValue is borrowed reference, no ref counting
//=============================================================================
void Iter_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->itemValue = NULL;
  GET_TC(tc)->iterator = PyObject_GetIter(obj);
}

int Iter_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  PyObject *item;

  if (GET_TC(tc)->itemValue)
  {
    Py_DECREF(GET_TC(tc)->itemValue);
    GET_TC(tc)->itemValue = NULL;
  }

  item = PyIter_Next(GET_TC(tc)->iterator);

  if (item == NULL)
  {
    return 0;
  }

  GET_TC(tc)->itemValue = item;
  return 1;
}

void Iter_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  if (GET_TC(tc)->itemValue)
  {
    Py_DECREF(GET_TC(tc)->itemValue);
    GET_TC(tc)->itemValue = NULL;
  }

  if (GET_TC(tc)->iterator)
  {
    Py_DECREF(GET_TC(tc)->iterator);
    GET_TC(tc)->iterator = NULL;
  }
}

JSOBJ Iter_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->itemValue;
}

char *Iter_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  return NULL;
}

//=============================================================================
// Dir iteration functions
// itemName ref is borrowed from PyObject_Dir (attrList). No refcount
// itemValue ref is from PyObject_GetAttr. Ref counted
//=============================================================================
void Dir_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->attrList = PyObject_Dir(obj);
  GET_TC(tc)->index = 0;
  GET_TC(tc)->size = PyList_GET_SIZE(GET_TC(tc)->attrList);
  PRINTMARK();
}

void Dir_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  if (GET_TC(tc)->itemValue)
  {
    Py_DECREF(GET_TC(tc)->itemValue);
    GET_TC(tc)->itemValue = NULL;
  }

  if (GET_TC(tc)->itemName)
  {
    Py_DECREF(GET_TC(tc)->itemName);
    GET_TC(tc)->itemName = NULL;
  }

  Py_DECREF( (PyObject *) GET_TC(tc)->attrList);
  PRINTMARK();
}

int Dir_iterNext(JSOBJ _obj, JSONTypeContext *tc)
{
  PyObject *obj = (PyObject *) _obj;
  PyObject *itemValue = GET_TC(tc)->itemValue;
  PyObject *itemName = GET_TC(tc)->itemName;
  PyObject* attr;
  PyObject* attrName;
  char* attrStr;

  if (itemValue)
  {
    Py_DECREF(GET_TC(tc)->itemValue);
    GET_TC(tc)->itemValue = itemValue = NULL;
  }

  if (itemName)
  {
    Py_DECREF(GET_TC(tc)->itemName);
    GET_TC(tc)->itemName = itemName = NULL;
  }

  for (; GET_TC(tc)->index  < GET_TC(tc)->size; GET_TC(tc)->index ++)
  {
    attrName = PyList_GET_ITEM(GET_TC(tc)->attrList, GET_TC(tc)->index);
#if PY_MAJOR_VERSION >= 3
    attr = PyUnicode_AsUTF8String(attrName);
#else
    attr = attrName;
    Py_INCREF(attr);
#endif
    attrStr = PyString_AS_STRING(attr);

    if (attrStr[0] == '_')
    {
      PRINTMARK();
      Py_DECREF(attr);
      continue;
    }

    itemValue = PyObject_GetAttr(obj, attrName);
    if (itemValue == NULL)
    {
      PyErr_Clear();
      Py_DECREF(attr);
      PRINTMARK();
      continue;
    }

    if (PyCallable_Check(itemValue))
    {
      Py_DECREF(itemValue);
      Py_DECREF(attr);
      PRINTMARK();
      continue;
    }

    GET_TC(tc)->itemName = itemName;
    GET_TC(tc)->itemValue = itemValue;
    GET_TC(tc)->index ++;

    PRINTMARK();
    itemName = attr;
    break;
  }

  if (itemName == NULL)
  {
    GET_TC(tc)->index = GET_TC(tc)->size;
    GET_TC(tc)->itemValue = NULL;
    return 0;
  }

  GET_TC(tc)->itemName = itemName;
  GET_TC(tc)->itemValue = itemValue;
  GET_TC(tc)->index ++;

  PRINTMARK();
  return 1;
}

JSOBJ Dir_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  PRINTMARK();
  return GET_TC(tc)->itemValue;
}

char *Dir_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  PRINTMARK();
  *outLen = PyString_GET_SIZE(GET_TC(tc)->itemName);
  return PyString_AS_STRING(GET_TC(tc)->itemName);
}


//=============================================================================
// List iteration functions
// itemValue is borrowed from object (which is list). No refcounting
//=============================================================================
void List_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->index =  0;
  GET_TC(tc)->size = PyList_GET_SIZE( (PyObject *) obj);
}

int List_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  if (GET_TC(tc)->index >= GET_TC(tc)->size)
  {
    PRINTMARK();
    return 0;
  }

  GET_TC(tc)->itemValue = PyList_GET_ITEM (obj, GET_TC(tc)->index);
  GET_TC(tc)->index ++;
  return 1;
}

void List_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
}

JSOBJ List_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->itemValue;
}

char *List_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  return NULL;
}

//=============================================================================
// pandas Index iteration functions
//=============================================================================
void Index_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->index = 0;
  GET_TC(tc)->cStr = PyObject_Malloc(20 * sizeof(char));
  if (!GET_TC(tc)->cStr)
  {
    PyErr_NoMemory();
  }
  PRINTMARK();
}

int Index_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  Py_ssize_t index;
  if (!GET_TC(tc)->cStr)
  {
    return 0;
  }

  index = GET_TC(tc)->index;
  Py_XDECREF(GET_TC(tc)->itemValue);
  if (index == 0)
  {
    memcpy(GET_TC(tc)->cStr, "name", sizeof(char)*5);
    GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "name");
  }
  else
  if (index == 1)
  {
    memcpy(GET_TC(tc)->cStr, "data", sizeof(char)*5);
    GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "values");
  }
  else
  {
    PRINTMARK();
    return 0;
  }

  GET_TC(tc)->index++;
  PRINTMARK();
  return 1;
}

void Index_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  PRINTMARK();
}

JSOBJ Index_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->itemValue;
}

char *Index_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  *outLen = strlen(GET_TC(tc)->cStr);
  return GET_TC(tc)->cStr;
}

//=============================================================================
// pandas Series iteration functions
//=============================================================================
void Series_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  PyObjectEncoder* enc = (PyObjectEncoder*) tc->encoder;
  GET_TC(tc)->index = 0;
  GET_TC(tc)->cStr = PyObject_Malloc(20 * sizeof(char));
  enc->outputFormat = VALUES; // for contained series
  if (!GET_TC(tc)->cStr)
  {
    PyErr_NoMemory();
  }
  PRINTMARK();
}

int Series_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  Py_ssize_t index;
  if (!GET_TC(tc)->cStr)
  {
    return 0;
  }

  index = GET_TC(tc)->index;
  Py_XDECREF(GET_TC(tc)->itemValue);
  if (index == 0)
  {
    memcpy(GET_TC(tc)->cStr, "name", sizeof(char)*5);
    GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "name");
  }
  else
  if (index == 1)
  {
    memcpy(GET_TC(tc)->cStr, "index", sizeof(char)*6);
    GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "index");
  }
  else
  if (index == 2)
  {
    memcpy(GET_TC(tc)->cStr, "data", sizeof(char)*5);
    GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "values");
  }
  else
  {
    PRINTMARK();
    return 0;
  }

  GET_TC(tc)->index++;
  PRINTMARK();
  return 1;
}

void Series_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  PyObjectEncoder* enc = (PyObjectEncoder*) tc->encoder;
  enc->outputFormat = enc->originalOutputFormat;
  PRINTMARK();
}

JSOBJ Series_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->itemValue;
}

char *Series_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  *outLen = strlen(GET_TC(tc)->cStr);
  return GET_TC(tc)->cStr;
}

//=============================================================================
// pandas DataFrame iteration functions
//=============================================================================
void DataFrame_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  PyObjectEncoder* enc = (PyObjectEncoder*) tc->encoder;
  GET_TC(tc)->index = 0;
  GET_TC(tc)->cStr = PyObject_Malloc(20 * sizeof(char));
  enc->outputFormat = VALUES; // for contained series & index
  if (!GET_TC(tc)->cStr)
  {
    PyErr_NoMemory();
  }
  PRINTMARK();
}

int DataFrame_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  Py_ssize_t index;
  if (!GET_TC(tc)->cStr)
  {
    return 0;
  }

  index = GET_TC(tc)->index;
  Py_XDECREF(GET_TC(tc)->itemValue);
  if (index == 0)
  {
    memcpy(GET_TC(tc)->cStr, "columns", sizeof(char)*8);
    GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "columns");
  }
  else
  if (index == 1)
  {
    memcpy(GET_TC(tc)->cStr, "index", sizeof(char)*6);
    GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "index");
  }
  else
  if (index == 2)
  {
    memcpy(GET_TC(tc)->cStr, "data", sizeof(char)*5);
    if (is_simple_frame(obj))
    {
      GET_TC(tc)->itemValue = PyObject_GetAttrString(obj, "values");
    }
    else
    {
      Py_INCREF(obj);
      GET_TC(tc)->itemValue = obj;
    }
  }
  else
  {
    PRINTMARK();
    return 0;
  }

  GET_TC(tc)->index++;
  PRINTMARK();
  return 1;
}

void DataFrame_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  PyObjectEncoder* enc = (PyObjectEncoder*) tc->encoder;
  enc->outputFormat = enc->originalOutputFormat;
  PRINTMARK();
}

JSOBJ DataFrame_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->itemValue;
}

char *DataFrame_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  *outLen = strlen(GET_TC(tc)->cStr);
  return GET_TC(tc)->cStr;
}

//=============================================================================
// Dict iteration functions
// itemName might converted to string (Python_Str). Do refCounting
// itemValue is borrowed from object (which is dict). No refCounting
//=============================================================================
void Dict_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->index = 0;
  PRINTMARK();
}

int Dict_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
#if PY_MAJOR_VERSION >= 3
  PyObject* itemNameTmp;
#endif

  if (GET_TC(tc)->itemName)
  {
    Py_DECREF(GET_TC(tc)->itemName);
    GET_TC(tc)->itemName = NULL;
  }


  if (!PyDict_Next ( (PyObject *)GET_TC(tc)->dictObj, &GET_TC(tc)->index, &GET_TC(tc)->itemName, &GET_TC(tc)->itemValue))
  {
    PRINTMARK();
    return 0;
  }

  if (PyUnicode_Check(GET_TC(tc)->itemName))
  {
    GET_TC(tc)->itemName = PyUnicode_AsUTF8String (GET_TC(tc)->itemName);
  }
  else
    if (!PyString_Check(GET_TC(tc)->itemName))
    {
      GET_TC(tc)->itemName = PyObject_Str(GET_TC(tc)->itemName);
#if PY_MAJOR_VERSION >= 3
      itemNameTmp = GET_TC(tc)->itemName;
      GET_TC(tc)->itemName = PyUnicode_AsUTF8String (GET_TC(tc)->itemName);
      Py_DECREF(itemNameTmp);
#endif
    }
    else
    {
      Py_INCREF(GET_TC(tc)->itemName);
    }
    PRINTMARK();
    return 1;
}

void Dict_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  if (GET_TC(tc)->itemName)
  {
    Py_DECREF(GET_TC(tc)->itemName);
    GET_TC(tc)->itemName = NULL;
  }
  Py_DECREF(GET_TC(tc)->dictObj);
  PRINTMARK();
}

JSOBJ Dict_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->itemValue;
}

char *Dict_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  *outLen = PyString_GET_SIZE(GET_TC(tc)->itemName);
  return PyString_AS_STRING(GET_TC(tc)->itemName);
}

void NpyArr_freeLabels(char** labels, npy_intp len)
{
    npy_intp i;

    if (labels)
    {
        for (i = 0; i < len; i++)
        {
            PyObject_Free(labels[i]);
        }
        PyObject_Free(labels);
    }
}

char** NpyArr_encodeLabels(PyArrayObject* labels, JSONObjectEncoder* enc, npy_intp num)
{
    // NOTE this function steals a reference to labels.
    PyObjectEncoder* pyenc = (PyObjectEncoder *) enc;
    PyObject* item = NULL;
    npy_intp i, stride, len, need_quotes;
    char** ret;
    char *dataptr, *cLabel, *origend, *origst, *origoffset;
    char labelBuffer[NPY_JSON_BUFSIZE];
    PyArray_GetItemFunc* getitem;
    int type_num;
    PRINTMARK();

    if (!labels)
    {
      return 0;
    }

    if (PyArray_SIZE(labels) < num)
    {
        PyErr_SetString(PyExc_ValueError, "Label array sizes do not match corresponding data shape");
        Py_DECREF(labels);
        return 0;
    }

    ret = PyObject_Malloc(sizeof(char*)*num);
    if (!ret)
    {
        PyErr_NoMemory();
        Py_DECREF(labels);
        return 0;
    }

    for (i = 0; i < num; i++)
    {
        ret[i] = NULL;
    }

    origst = enc->start;
    origend = enc->end;
    origoffset = enc->offset;

    stride = PyArray_STRIDE(labels, 0);
    dataptr = PyArray_DATA(labels);
    getitem = (PyArray_GetItemFunc*) PyArray_DESCR(labels)->f->getitem;
    type_num = PyArray_TYPE(labels);

    for (i = 0; i < num; i++)
    {
#if NPY_API_VERSION < 0x00000007
        if(PyTypeNum_ISDATETIME(type_num))
        {
          item = PyArray_ToScalar(dataptr, labels);
        }
        else if(PyTypeNum_ISNUMBER(type_num))
#else
        if(PyTypeNum_ISDATETIME(type_num) || PyTypeNum_ISNUMBER(type_num))
#endif
        {
          item = (PyObject *) labels;
          pyenc->npyType = type_num;
          pyenc->npyValue = dataptr;
        }
        else
        {
          item = getitem(dataptr, labels);
          if (!item)
          {
              NpyArr_freeLabels(ret, num);
              ret = 0;
              break;
          }
        }

        cLabel = JSON_EncodeObject(item, enc, labelBuffer, NPY_JSON_BUFSIZE);

        if (item != (PyObject *) labels)
        {
          Py_DECREF(item);
        }

        if (PyErr_Occurred() || enc->errorMsg)
        {
            NpyArr_freeLabels(ret, num);
            ret = 0;
            break;
        }

        need_quotes = ((*cLabel) != '"');
        len = enc->offset - cLabel + 1 + 2 * need_quotes;
        ret[i] = PyObject_Malloc(sizeof(char)*len);

        if (!ret[i])
        {
            PyErr_NoMemory();
            ret = 0;
            break;
        }

        if (need_quotes)
        {
          ret[i][0] = '"';
          memcpy(ret[i]+1, cLabel, sizeof(char)*(len-4));
          ret[i][len-3] = '"';
        }
        else
        {
          memcpy(ret[i], cLabel, sizeof(char)*(len-2));
        }
        ret[i][len-2] = ':';
        ret[i][len-1] = '\0';
        dataptr += stride;
    }

    enc->start = origst;
    enc->end = origend;
    enc->offset = origoffset;

    Py_DECREF(labels);
    return ret;
}

void Object_beginTypeContext (JSOBJ _obj, JSONTypeContext *tc)
{
  PyObject *obj, *exc, *toDictFunc, *tmpObj;
  TypeContext *pc;
  PyObjectEncoder *enc;
  double val;
  npy_int64 value;
  int base;
  PRINTMARK();

  tc->prv = NULL;

  if (!_obj) {
    tc->type = JT_INVALID;
    return;
  }

  obj = (PyObject*) _obj;
  enc = (PyObjectEncoder*) tc->encoder;

  if (enc->npyType >= 0)
  {
    PRINTMARK();
    tc->prv = &(enc->basicTypeContext);
    tc->type = NpyTypeToJSONType(obj, tc, enc->npyType, enc->npyValue);
    enc->npyType = -1;
    return;
  }

  if (PyBool_Check(obj))
  {
    PRINTMARK();
    tc->type = (obj == Py_True) ? JT_TRUE : JT_FALSE;
    return;
  }
  else
  if (obj == Py_None)
  {
    PRINTMARK();
    tc->type = JT_NULL;
    return;
  }

  pc = createTypeContext();
  if (!pc)
  {
    tc->type = JT_INVALID;
    return;
  }
  tc->prv = pc;

  if (PyIter_Check(obj) || PyArray_Check(obj))
  {
    PRINTMARK();
    goto ISITERABLE;
  }

  if (PyLong_Check(obj))
  {
    PRINTMARK();
    pc->PyTypeToJSON = PyLongToINT64;
    tc->type = JT_LONG;
    GET_TC(tc)->longValue = PyLong_AsLongLong(obj);

    exc = PyErr_Occurred();

    if (exc && PyErr_ExceptionMatches(PyExc_OverflowError))
    {
      PRINTMARK();
      goto INVALID;
    }

    return;
  }
  else
  if (PyInt_Check(obj))
  {
      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();
    val = PyFloat_AS_DOUBLE (obj);
    if (npy_isnan(val) || npy_isinf(val))
    {
      tc->type = JT_NULL;
    }
    else
    {
      pc->PyTypeToJSON = PyFloatToDOUBLE; tc->type = JT_DOUBLE;
    }
    return;
  }
  else
  if (PyString_Check(obj))
  {
    PRINTMARK();
    pc->PyTypeToJSON = PyStringToUTF8; tc->type = JT_UTF8;
    return;
  }
  else
  if (PyUnicode_Check(obj))
  {
    PRINTMARK();
    pc->PyTypeToJSON = PyUnicodeToUTF8; tc->type = JT_UTF8;
    return;
  }
  else
  if (PyObject_IsInstance(obj, type_decimal))
  {
    PRINTMARK();
    pc->PyTypeToJSON = PyFloatToDOUBLE; tc->type = JT_DOUBLE;
    return;
  }
  else
  if (PyDateTime_Check(obj) || PyDate_Check(obj))
  {
    if (PyObject_TypeCheck(obj, cls_nat))
    {
      PRINTMARK();
      tc->type = JT_NULL;
      return;
    }

    PRINTMARK();
    pc->PyTypeToJSON = PyDateTimeToJSON;
    if (enc->datetimeIso)
    {
      PRINTMARK();
      tc->type = JT_UTF8;
    }
    else
    {
      PRINTMARK();
      tc->type = JT_LONG;
    }
    return;
  }
  else
  if (PyTime_Check(obj))
  {
    PRINTMARK();
    pc->PyTypeToJSON = PyTimeToJSON; tc->type = JT_UTF8;
    return;
  }
  else
  if (PyArray_IsScalar(obj, Datetime))
  {
    PRINTMARK();
    if (((PyDatetimeScalarObject*) obj)->obval == get_nat()) {
      PRINTMARK();
      tc->type = JT_NULL;
      return;
    }

    PRINTMARK();
    pc->PyTypeToJSON = NpyDateTimeScalarToJSON;
    tc->type = enc->datetimeIso ? JT_UTF8 : JT_LONG;
    return;
  }
  else
  if (PyDelta_Check(obj))
  {
    if (PyObject_HasAttrString(obj, "value"))
    {
      PRINTMARK();
      value = get_long_attr(obj, "value");
    }
    else
    {
      PRINTMARK();
      value = total_seconds(obj) * 1000000000LL; // nanoseconds per second
    }

    base = ((PyObjectEncoder*) tc->encoder)->datetimeUnit;
    switch (base)
    {
      case PANDAS_FR_ns:
        break;
      case PANDAS_FR_us:
        value /= 1000LL;
        break;
      case PANDAS_FR_ms:
        value /= 1000000LL;
        break;
      case PANDAS_FR_s:
        value /= 1000000000LL;
        break;
    }

    exc = PyErr_Occurred();

    if (exc && PyErr_ExceptionMatches(PyExc_OverflowError))
    {
      PRINTMARK();
      goto INVALID;
    }

    if (value == get_nat())
    {
      PRINTMARK();
      tc->type = JT_NULL;
      return;
    }

    GET_TC(tc)->longValue = value;

    PRINTMARK();
    pc->PyTypeToJSON = PyLongToINT64;
    tc->type = JT_LONG;
    return;
  }
  else
  if (PyArray_IsScalar(obj, Integer))
  {
    PRINTMARK();
    pc->PyTypeToJSON = PyLongToINT64;
    tc->type = JT_LONG;
    PyArray_CastScalarToCtype(obj, &(GET_TC(tc)->longValue), PyArray_DescrFromType(NPY_INT64));

    exc = PyErr_Occurred();

    if (exc && PyErr_ExceptionMatches(PyExc_OverflowError))
    {
      PRINTMARK();
      goto INVALID;
    }

    return;
  }
  else
  if (PyArray_IsScalar(obj, Bool))
  {
    PRINTMARK();
    PyArray_CastScalarToCtype(obj, &(GET_TC(tc)->longValue), PyArray_DescrFromType(NPY_BOOL));
    tc->type = (GET_TC(tc)->longValue) ? JT_TRUE : JT_FALSE;
    return;
  }
  else
  if (PyArray_IsScalar(obj, Float) || PyArray_IsScalar(obj, Double))
  {
    PRINTMARK();
    pc->PyTypeToJSON = NpyFloatToDOUBLE; tc->type = JT_DOUBLE;
    return;
  }

ISITERABLE:

  if (PyObject_TypeCheck(obj, cls_index))
  {
    if (enc->outputFormat == SPLIT)
    {
      PRINTMARK();
      tc->type = JT_OBJECT;
      pc->iterBegin = Index_iterBegin;
      pc->iterEnd = Index_iterEnd;
      pc->iterNext = Index_iterNext;
      pc->iterGetValue = Index_iterGetValue;
      pc->iterGetName = Index_iterGetName;
      return;
    }

    PRINTMARK();
    tc->type = JT_ARRAY;
    pc->newObj = PyObject_GetAttrString(obj, "values");
    pc->iterBegin = NpyArr_iterBegin;
    pc->iterEnd = NpyArr_iterEnd;
    pc->iterNext = NpyArr_iterNext;
    pc->iterGetValue = NpyArr_iterGetValue;
    pc->iterGetName = NpyArr_iterGetName;
    return;
  }
  else
  if (PyObject_TypeCheck(obj, cls_series))
  {
    if (enc->outputFormat == SPLIT)
    {
      PRINTMARK();
      tc->type = JT_OBJECT;
      pc->iterBegin = Series_iterBegin;
      pc->iterEnd = Series_iterEnd;
      pc->iterNext = Series_iterNext;
      pc->iterGetValue = Series_iterGetValue;
      pc->iterGetName = Series_iterGetName;
      return;
    }

    pc->newObj = PyObject_GetAttrString(obj, "values");

    if (enc->outputFormat == INDEX || enc->outputFormat == COLUMNS)
    {
      PRINTMARK();
      tc->type = JT_OBJECT;
      pc->columnLabelsLen = PyArray_DIM(pc->newObj, 0);
      pc->columnLabels = NpyArr_encodeLabels((PyArrayObject*) PyObject_GetAttrString(PyObject_GetAttrString(obj, "index"), "values"), (JSONObjectEncoder*) enc, pc->columnLabelsLen);
      if (!pc->columnLabels)
      {
        goto INVALID;
      }
    }
    else
    {
      PRINTMARK();
      tc->type = JT_ARRAY;
    }
    pc->iterBegin = NpyArr_iterBegin;
    pc->iterEnd = NpyArr_iterEnd;
    pc->iterNext = NpyArr_iterNext;
    pc->iterGetValue = NpyArr_iterGetValue;
    pc->iterGetName = NpyArr_iterGetName;
    return;
  }
  else
  if (PyArray_Check(obj))
  {
    if (enc->npyCtxtPassthru)
    {
      PRINTMARK();
      pc->npyarr = enc->npyCtxtPassthru;
      tc->type = (pc->npyarr->columnLabels ? JT_OBJECT : JT_ARRAY);

      pc->iterBegin = NpyArrPassThru_iterBegin;
      pc->iterNext = NpyArr_iterNext;
      pc->iterEnd = NpyArrPassThru_iterEnd;
      pc->iterGetValue = NpyArr_iterGetValue;
      pc->iterGetName = NpyArr_iterGetName;

      enc->npyCtxtPassthru = NULL;
      return;
    }

    PRINTMARK();
    tc->type = JT_ARRAY;
    pc->iterBegin = NpyArr_iterBegin;
    pc->iterEnd = NpyArr_iterEnd;
    pc->iterNext = NpyArr_iterNext;
    pc->iterGetValue = NpyArr_iterGetValue;
    pc->iterGetName = NpyArr_iterGetName;
    return;
  }
  else
  if (PyObject_TypeCheck(obj, cls_dataframe))
  {
    if (enc->blkCtxtPassthru)
    {
      PRINTMARK();
      pc->pdblock = enc->blkCtxtPassthru;
      tc->type = (pc->pdblock->npyCtxts[0]->columnLabels ? JT_OBJECT : JT_ARRAY);

      pc->iterBegin = PdBlockPassThru_iterBegin;
      pc->iterEnd = PdBlockPassThru_iterEnd;
      pc->iterNext = PdBlock_iterNextItem;
      pc->iterGetName = PdBlock_iterGetName;
      pc->iterGetValue = NpyArr_iterGetValue;

      enc->blkCtxtPassthru = NULL;
      return;
    }

    if (enc->outputFormat == SPLIT)
    {
      PRINTMARK();
      tc->type = JT_OBJECT;
      pc->iterBegin = DataFrame_iterBegin;
      pc->iterEnd = DataFrame_iterEnd;
      pc->iterNext = DataFrame_iterNext;
      pc->iterGetValue = DataFrame_iterGetValue;
      pc->iterGetName = DataFrame_iterGetName;
      return;
    }

    PRINTMARK();
    if (is_simple_frame(obj))
    {
      pc->iterBegin = NpyArr_iterBegin;
      pc->iterEnd = NpyArr_iterEnd;
      pc->iterNext = NpyArr_iterNext;
      pc->iterGetName = NpyArr_iterGetName;

      pc->newObj = PyObject_GetAttrString(obj, "values");
    }
    else
    {
      pc->iterBegin = PdBlock_iterBegin;
      pc->iterEnd = PdBlock_iterEnd;
      pc->iterNext = PdBlock_iterNext;
      pc->iterGetName = PdBlock_iterGetName;
    }
    pc->iterGetValue = NpyArr_iterGetValue;

    if (enc->outputFormat == VALUES)
    {
      PRINTMARK();
      tc->type = JT_ARRAY;
    }
    else
    if (enc->outputFormat == RECORDS)
    {
      PRINTMARK();
      tc->type = JT_ARRAY;
      tmpObj = PyObject_GetAttrString(obj, "columns");
      if (!tmpObj)
      {
        goto INVALID;
      }
      pc->columnLabelsLen = PyObject_Size(tmpObj);
      pc->columnLabels = NpyArr_encodeLabels((PyArrayObject*) PyObject_GetAttrString(tmpObj, "values"), (JSONObjectEncoder*) enc, pc->columnLabelsLen);
      Py_DECREF(tmpObj);
      if (!pc->columnLabels)
      {
        goto INVALID;
      }
    }
    else
    if (enc->outputFormat == INDEX || enc->outputFormat == COLUMNS)
    {
      PRINTMARK();
      tc->type = JT_OBJECT;
      tmpObj = (enc->outputFormat == INDEX ? PyObject_GetAttrString(obj, "index") : PyObject_GetAttrString(obj, "columns"));
      if (!tmpObj)
      {
        goto INVALID;
      }
      pc->rowLabelsLen = PyObject_Size(tmpObj);
      pc->rowLabels = NpyArr_encodeLabels((PyArrayObject*) PyObject_GetAttrString(tmpObj, "values"), (JSONObjectEncoder*) enc, pc->rowLabelsLen);
      Py_DECREF(tmpObj);
      if (!pc->rowLabels)
      {
        goto INVALID;
      }
      tmpObj = (enc->outputFormat == INDEX ? PyObject_GetAttrString(obj, "columns") : PyObject_GetAttrString(obj, "index"));
      if (!tmpObj)
      {
        NpyArr_freeLabels(pc->rowLabels, pc->rowLabelsLen);
        pc->rowLabels = NULL;
        goto INVALID;
      }
      pc->columnLabelsLen = PyObject_Size(tmpObj);
      pc->columnLabels = NpyArr_encodeLabels((PyArrayObject*) PyObject_GetAttrString(tmpObj, "values"), (JSONObjectEncoder*) enc, pc->columnLabelsLen);
      Py_DECREF(tmpObj);
      if (!pc->columnLabels)
      {
        NpyArr_freeLabels(pc->rowLabels, pc->rowLabelsLen);
        pc->rowLabels = NULL;
        goto INVALID;
      }

      if (enc->outputFormat == COLUMNS)
      {
        PRINTMARK();
        pc->transpose = 1;
      }
    }
    else
    {
      goto INVALID;
    }
    return;
  }
  else
  if (PyDict_Check(obj))
  {
      PRINTMARK();
      tc->type = JT_OBJECT;
      pc->iterBegin = Dict_iterBegin;
      pc->iterEnd = Dict_iterEnd;
      pc->iterNext = Dict_iterNext;
      pc->iterGetValue = Dict_iterGetValue;
      pc->iterGetName = Dict_iterGetName;
      pc->dictObj = obj;
      Py_INCREF(obj);

      return;
  }
  else
  if (PyList_Check(obj))
  {
      PRINTMARK();
      tc->type = JT_ARRAY;
      pc->iterBegin = List_iterBegin;
      pc->iterEnd = List_iterEnd;
      pc->iterNext = List_iterNext;
      pc->iterGetValue = List_iterGetValue;
      pc->iterGetName = List_iterGetName;
      return;
  }
  else
  if (PyTuple_Check(obj))
  {
      PRINTMARK();
      tc->type = JT_ARRAY;
      pc->iterBegin = Tuple_iterBegin;
      pc->iterEnd = Tuple_iterEnd;
      pc->iterNext = Tuple_iterNext;
      pc->iterGetValue = Tuple_iterGetValue;
      pc->iterGetName = Tuple_iterGetName;
      return;
  }
  else
  if (PyAnySet_Check(obj))
  {
    PRINTMARK();
    tc->type = JT_ARRAY;
    pc->iterBegin = Iter_iterBegin;
    pc->iterEnd = Iter_iterEnd;
    pc->iterNext = Iter_iterNext;
    pc->iterGetValue = Iter_iterGetValue;
    pc->iterGetName = Iter_iterGetName;
    return;
  }

  toDictFunc = PyObject_GetAttrString(obj, "toDict");

  if (toDictFunc)
  {
    PyObject* tuple = PyTuple_New(0);
    PyObject* toDictResult = PyObject_Call(toDictFunc, tuple, NULL);
    Py_DECREF(tuple);
    Py_DECREF(toDictFunc);

    if (toDictResult == NULL)
    {
      PyErr_Clear();
      tc->type = JT_NULL;
      return;
    }

    if (!PyDict_Check(toDictResult))
    {
      Py_DECREF(toDictResult);
      tc->type = JT_NULL;
      return;
    }

    PRINTMARK();
    tc->type = JT_OBJECT;
    pc->iterBegin = Dict_iterBegin;
    pc->iterEnd = Dict_iterEnd;
    pc->iterNext = Dict_iterNext;
    pc->iterGetValue = Dict_iterGetValue;
    pc->iterGetName = Dict_iterGetName;
    pc->dictObj = toDictResult;
    return;
  }

  PyErr_Clear();

  if (enc->defaultHandler)
  {
    PRINTMARK();
    tmpObj = PyObject_CallFunctionObjArgs(enc->defaultHandler, obj, NULL);
    if (tmpObj == NULL || PyErr_Occurred())
    {
      if (!PyErr_Occurred())
      {
        PyErr_SetString(PyExc_TypeError, "Failed to execute default handler");
      }
      goto INVALID;
    }
    encode (tmpObj, enc, NULL, 0);
    Py_DECREF(tmpObj);
    goto INVALID;
  }

  PRINTMARK();
  tc->type = JT_OBJECT;
  pc->iterBegin = Dir_iterBegin;
  pc->iterEnd = Dir_iterEnd;
  pc->iterNext = Dir_iterNext;
  pc->iterGetValue = Dir_iterGetValue;
  pc->iterGetName = Dir_iterGetName;
  return;

INVALID:
  tc->type = JT_INVALID;
  PyObject_Free(tc->prv);
  tc->prv = NULL;
  return;
}

void Object_endTypeContext(JSOBJ obj, JSONTypeContext *tc)
{
  PRINTMARK();
  if(tc->prv)
  {
    Py_XDECREF(GET_TC(tc)->newObj);
    GET_TC(tc)->newObj = NULL;
    NpyArr_freeLabels(GET_TC(tc)->rowLabels, GET_TC(tc)->rowLabelsLen);
    GET_TC(tc)->rowLabels = NULL;
    NpyArr_freeLabels(GET_TC(tc)->columnLabels, GET_TC(tc)->columnLabelsLen);
    GET_TC(tc)->columnLabels = NULL;

    PyObject_Free(GET_TC(tc)->cStr);
    GET_TC(tc)->cStr = NULL;
    if (tc->prv != &(((PyObjectEncoder*) tc->encoder)->basicTypeContext))
    {
      PyObject_Free(tc->prv);
    }
    tc->prv = NULL;
  }
}

const char *Object_getStringValue(JSOBJ obj, JSONTypeContext *tc, size_t *_outLen)
{
  return GET_TC(tc)->PyTypeToJSON (obj, tc, NULL, _outLen);
}

JSINT64 Object_getLongValue(JSOBJ obj, JSONTypeContext *tc)
{
  JSINT64 ret;
  GET_TC(tc)->PyTypeToJSON (obj, tc, &ret, NULL);
  return ret;
}

JSINT32 Object_getIntValue(JSOBJ obj, JSONTypeContext *tc)
{
  JSINT32 ret;
  GET_TC(tc)->PyTypeToJSON (obj, tc, &ret, NULL);
  return ret;
}

double Object_getDoubleValue(JSOBJ obj, JSONTypeContext *tc)
{
  double ret;
  GET_TC(tc)->PyTypeToJSON (obj, tc, &ret, NULL);
  return ret;
}

static void Object_releaseObject(JSOBJ _obj)
{
  Py_DECREF( (PyObject *) _obj);
}

void Object_iterBegin(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->iterBegin(obj, tc);
}

int Object_iterNext(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->iterNext(obj, tc);
}

void Object_iterEnd(JSOBJ obj, JSONTypeContext *tc)
{
  GET_TC(tc)->iterEnd(obj, tc);
}

JSOBJ Object_iterGetValue(JSOBJ obj, JSONTypeContext *tc)
{
  return GET_TC(tc)->iterGetValue(obj, tc);
}

char *Object_iterGetName(JSOBJ obj, JSONTypeContext *tc, size_t *outLen)
{
  return GET_TC(tc)->iterGetName(obj, tc, outLen);
}

PyObject* objToJSON(PyObject* self, PyObject *args, PyObject *kwargs)
{
  static char *kwlist[] = { "obj", "ensure_ascii", "double_precision", "encode_html_chars", "orient", "date_unit", "iso_dates", "default_handler", NULL};

  char buffer[65536];
  char *ret;
  PyObject *newobj;
  PyObject *oinput = NULL;
  PyObject *oensureAscii = NULL;
  int idoublePrecision = 10; // default double precision setting
  PyObject *oencodeHTMLChars = NULL;
  char *sOrient = NULL;
  char *sdateFormat = NULL;
  PyObject *oisoDates = 0;
  PyObject *odefHandler = 0;

  PyObjectEncoder pyEncoder =
  {
    {
        Object_beginTypeContext,
        Object_endTypeContext,
        Object_getStringValue,
        Object_getLongValue,
        Object_getIntValue,
        Object_getDoubleValue,
        Object_iterBegin,
        Object_iterNext,
        Object_iterEnd,
        Object_iterGetValue,
        Object_iterGetName,
        Object_releaseObject,
        PyObject_Malloc,
        PyObject_Realloc,
        PyObject_Free,
        -1, //recursionMax
        idoublePrecision,
        1, //forceAscii
        0, //encodeHTMLChars
    }
  };
  JSONObjectEncoder* encoder = (JSONObjectEncoder*) &pyEncoder;

  pyEncoder.npyCtxtPassthru = NULL;
  pyEncoder.blkCtxtPassthru = NULL;
  pyEncoder.npyType = -1;
  pyEncoder.npyValue = NULL;
  pyEncoder.datetimeIso = 0;
  pyEncoder.datetimeUnit = PANDAS_FR_ms;
  pyEncoder.outputFormat = COLUMNS;
  pyEncoder.defaultHandler = 0;
  pyEncoder.basicTypeContext.newObj = NULL;
  pyEncoder.basicTypeContext.dictObj = NULL;
  pyEncoder.basicTypeContext.itemValue = NULL;
  pyEncoder.basicTypeContext.itemName = NULL;
  pyEncoder.basicTypeContext.attrList = NULL;
  pyEncoder.basicTypeContext.iterator = NULL;
  pyEncoder.basicTypeContext.cStr = NULL;
  pyEncoder.basicTypeContext.npyarr = NULL;
  pyEncoder.basicTypeContext.rowLabels = NULL;
  pyEncoder.basicTypeContext.columnLabels = NULL;

  PRINTMARK();

  if (!PyArg_ParseTupleAndKeywords(args, kwargs, "O|OiOssOO", kwlist, &oinput, &oensureAscii, &idoublePrecision, &oencodeHTMLChars, &sOrient, &sdateFormat, &oisoDates, &odefHandler))
  {
    return NULL;
  }

  if (oensureAscii != NULL && !PyObject_IsTrue(oensureAscii))
  {
    encoder->forceASCII = 0;
  }

  if (oencodeHTMLChars != NULL && PyObject_IsTrue(oencodeHTMLChars))
  {
    encoder->encodeHTMLChars = 1;
  }

  if (idoublePrecision > JSON_DOUBLE_MAX_DECIMALS || idoublePrecision < 0)
  {
      PyErr_Format (
          PyExc_ValueError,
          "Invalid value '%d' for option 'double_precision', max is '%u'",
          idoublePrecision,
          JSON_DOUBLE_MAX_DECIMALS);
      return NULL;
  }
  encoder->doublePrecision = idoublePrecision;

  if (sOrient != NULL)
  {
    if (strcmp(sOrient, "records") == 0)
    {
      pyEncoder.outputFormat = RECORDS;
    }
    else
    if (strcmp(sOrient, "index") == 0)
    {
      pyEncoder.outputFormat = INDEX;
    }
    else
    if (strcmp(sOrient, "split") == 0)
    {
      pyEncoder.outputFormat = SPLIT;
    }
    else
    if (strcmp(sOrient, "values") == 0)
    {
      pyEncoder.outputFormat = VALUES;
    }
    else
    if (strcmp(sOrient, "columns") != 0)
    {
      PyErr_Format (PyExc_ValueError, "Invalid value '%s' for option 'orient'", sOrient);
      return NULL;
    }
  }

  if (sdateFormat != NULL)
  {
    if (strcmp(sdateFormat, "s") == 0)
    {
      pyEncoder.datetimeUnit = PANDAS_FR_s;
    }
    else
    if (strcmp(sdateFormat, "ms") == 0)
    {
      pyEncoder.datetimeUnit = PANDAS_FR_ms;
    }
    else
    if (strcmp(sdateFormat, "us") == 0)
    {
      pyEncoder.datetimeUnit = PANDAS_FR_us;
    }
    else
    if (strcmp(sdateFormat, "ns") == 0)
    {
      pyEncoder.datetimeUnit = PANDAS_FR_ns;
    }
    else
    {
      PyErr_Format (PyExc_ValueError, "Invalid value '%s' for option 'date_unit'", sdateFormat);
      return NULL;
    }
  }

  if (oisoDates != NULL && PyObject_IsTrue(oisoDates))
  {
    pyEncoder.datetimeIso = 1;
  }


  if (odefHandler != NULL && odefHandler != Py_None)
  {
    if (!PyCallable_Check(odefHandler)) 
    {
      PyErr_SetString (PyExc_TypeError, "Default handler is not callable");
      return NULL;
    }
    pyEncoder.defaultHandler = odefHandler;
  }

  pyEncoder.originalOutputFormat = pyEncoder.outputFormat;
  PRINTMARK();
  ret = JSON_EncodeObject (oinput, encoder, buffer, sizeof (buffer));
  PRINTMARK();

  if (PyErr_Occurred())
  {
    PRINTMARK();
    return NULL;
  }

  if (encoder->errorMsg)
  {
    PRINTMARK();
    if (ret != buffer)
    {
      encoder->free (ret);
    }

    PyErr_Format (PyExc_OverflowError, "%s", encoder->errorMsg);
    return NULL;
  }

  newobj = PyString_FromString (ret);

  if (ret != buffer)
  {
    encoder->free (ret);
  }

  PRINTMARK();

  return newobj;
}

PyObject* objToJSONFile(PyObject* self, PyObject *args, PyObject *kwargs)
{
  PyObject *data;
  PyObject *file;
  PyObject *string;
  PyObject *write;
  PyObject *argtuple;

  PRINTMARK();

  if (!PyArg_ParseTuple (args, "OO", &data, &file))
  {
    return NULL;
  }

  if (!PyObject_HasAttrString (file, "write"))
  {
    PyErr_Format (PyExc_TypeError, "expected file");
    return NULL;
  }

  write = PyObject_GetAttrString (file, "write");

  if (!PyCallable_Check (write))
  {
    Py_XDECREF(write);
    PyErr_Format (PyExc_TypeError, "expected file");
    return NULL;
  }

  argtuple = PyTuple_Pack(1, data);

  string = objToJSON (self, argtuple, kwargs);

  if (string == NULL)
  {
    Py_XDECREF(write);
    Py_XDECREF(argtuple);
    return NULL;
  }

  Py_XDECREF(argtuple);

  argtuple = PyTuple_Pack (1, string);
  if (argtuple == NULL)
  {
    Py_XDECREF(write);
    return NULL;
  }
  if (PyObject_CallObject (write, argtuple) == NULL)
  {
    Py_XDECREF(write);
    Py_XDECREF(argtuple);
    return NULL;
  }

  Py_XDECREF(write);
  Py_DECREF(argtuple);
  Py_XDECREF(string);

  PRINTMARK();

  Py_RETURN_NONE;
}
