// python wrapper for vtkImageHistogramStatistics
//
#define VTK_WRAPPING_CXX
#define VTK_STREAMS_FWD_ONLY
#include "vtkPythonArgs.h"
#include "vtkPythonOverload.h"
#include "vtkConfigure.h"
#include <cstddef>
#include <sstream>
#include "vtkVariant.h"
#include "vtkIndent.h"
#include "vtkImageHistogramStatistics.h"

extern "C" { VTK_ABI_EXPORT void PyVTKAddFile_vtkImageHistogramStatistics(PyObject *); }
extern "C" { VTK_ABI_EXPORT PyObject *PyvtkImageHistogramStatistics_ClassNew(); }

#ifndef DECLARED_PyvtkImageHistogram_ClassNew
extern "C" { PyObject *PyvtkImageHistogram_ClassNew(); }
#define DECLARED_PyvtkImageHistogram_ClassNew
#endif

static const char *PyvtkImageHistogramStatistics_Doc =
  "vtkImageHistogramStatistics - Compute statistics for an image\n\n"
  "Superclass: vtkImageHistogram\n\n"
  "vtkImageHistogramStatistics computes statistics such as mean, median,\n"
  "and standard deviation.  These statistics are computed from the\n"
  "histogram of the image, rather than from the image itself, because\n"
  "this is more efficient than computing the statistics while traversing\n"
  "the pixels. If the input image is of type float or double, then the\n"
  "precision of the Mean, Median, and StandardDeviation will depend on\n"
  "the number of histogram bins.  By default, 65536 bins are used for\n"
  "float data, giving at least 16 bits of precision.@par Thanks: Thanks\n"
  "to David Gobbi at the Seaman Family MR Centre and Dept. of Clinical\n"
  "Neurosciences, Foothills Medical Centre, Calgary, for providing this\n"
  "class.\n\n";


static PyObject *
PyvtkImageHistogramStatistics_IsTypeOf(PyObject *, PyObject *args)
{
  vtkPythonArgs ap(args, "IsTypeOf");

  char *temp0 = nullptr;
  PyObject *result = nullptr;

  if (ap.CheckArgCount(1) &&
      ap.GetValue(temp0))
  {
    int tempr = vtkImageHistogramStatistics::IsTypeOf(temp0);

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildValue(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_IsA(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "IsA");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  char *temp0 = nullptr;
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(1) &&
      ap.GetValue(temp0))
  {
    int tempr = (ap.IsBound() ?
      op->IsA(temp0) :
      op->vtkImageHistogramStatistics::IsA(temp0));

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildValue(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_SafeDownCast(PyObject *, PyObject *args)
{
  vtkPythonArgs ap(args, "SafeDownCast");

  vtkObjectBase *temp0 = nullptr;
  PyObject *result = nullptr;

  if (ap.CheckArgCount(1) &&
      ap.GetVTKObject(temp0, "vtkObjectBase"))
  {
    vtkImageHistogramStatistics *tempr = vtkImageHistogramStatistics::SafeDownCast(temp0);

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildVTKObject(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_NewInstance(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "NewInstance");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    vtkImageHistogramStatistics *tempr = (ap.IsBound() ?
      op->NewInstance() :
      op->vtkImageHistogramStatistics::NewInstance());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildVTKObject(tempr);
      if (result && PyVTKObject_Check(result))
      {
        PyVTKObject_GetObject(result)->UnRegister(0);
        PyVTKObject_SetFlag(result, VTK_PYTHON_IGNORE_UNREGISTER, 1);
      }
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_GetMinimum(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetMinimum");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double tempr = (ap.IsBound() ?
      op->GetMinimum() :
      op->vtkImageHistogramStatistics::GetMinimum());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildValue(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_GetMaximum(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetMaximum");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double tempr = (ap.IsBound() ?
      op->GetMaximum() :
      op->vtkImageHistogramStatistics::GetMaximum());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildValue(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_GetMean(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetMean");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double tempr = (ap.IsBound() ?
      op->GetMean() :
      op->vtkImageHistogramStatistics::GetMean());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildValue(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_GetMedian(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetMedian");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double tempr = (ap.IsBound() ?
      op->GetMedian() :
      op->vtkImageHistogramStatistics::GetMedian());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildValue(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_GetStandardDeviation(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetStandardDeviation");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double tempr = (ap.IsBound() ?
      op->GetStandardDeviation() :
      op->vtkImageHistogramStatistics::GetStandardDeviation());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildValue(tempr);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_SetAutoRangePercentiles_s1(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "SetAutoRangePercentiles");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  double temp0;
  double temp1;
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(2) &&
      ap.GetValue(temp0) &&
      ap.GetValue(temp1))
  {
    if (ap.IsBound())
    {
      op->SetAutoRangePercentiles(temp0, temp1);
    }
    else
    {
      op->vtkImageHistogramStatistics::SetAutoRangePercentiles(temp0, temp1);
    }

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildNone();
    }
  }

  return result;
}

static PyObject *
PyvtkImageHistogramStatistics_SetAutoRangePercentiles_s2(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "SetAutoRangePercentiles");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  const int size0 = 2;
  double temp0[2];
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(1) &&
      ap.GetArray(temp0, size0))
  {
    if (ap.IsBound())
    {
      op->SetAutoRangePercentiles(temp0);
    }
    else
    {
      op->vtkImageHistogramStatistics::SetAutoRangePercentiles(temp0);
    }

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildNone();
    }
  }

  return result;
}

static PyObject *
PyvtkImageHistogramStatistics_SetAutoRangePercentiles(PyObject *self, PyObject *args)
{
  int nargs = vtkPythonArgs::GetArgCount(self, args);

  switch(nargs)
  {
    case 2:
      return PyvtkImageHistogramStatistics_SetAutoRangePercentiles_s1(self, args);
    case 1:
      return PyvtkImageHistogramStatistics_SetAutoRangePercentiles_s2(self, args);
  }

  vtkPythonArgs::ArgCountError(nargs, "SetAutoRangePercentiles");
  return nullptr;
}



static PyObject *
PyvtkImageHistogramStatistics_GetAutoRangePercentiles(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetAutoRangePercentiles");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  int sizer = 2;
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double *tempr = (ap.IsBound() ?
      op->GetAutoRangePercentiles() :
      op->vtkImageHistogramStatistics::GetAutoRangePercentiles());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildTuple(tempr, sizer);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_SetAutoRangeExpansionFactors_s1(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "SetAutoRangeExpansionFactors");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  double temp0;
  double temp1;
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(2) &&
      ap.GetValue(temp0) &&
      ap.GetValue(temp1))
  {
    if (ap.IsBound())
    {
      op->SetAutoRangeExpansionFactors(temp0, temp1);
    }
    else
    {
      op->vtkImageHistogramStatistics::SetAutoRangeExpansionFactors(temp0, temp1);
    }

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildNone();
    }
  }

  return result;
}

static PyObject *
PyvtkImageHistogramStatistics_SetAutoRangeExpansionFactors_s2(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "SetAutoRangeExpansionFactors");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  const int size0 = 2;
  double temp0[2];
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(1) &&
      ap.GetArray(temp0, size0))
  {
    if (ap.IsBound())
    {
      op->SetAutoRangeExpansionFactors(temp0);
    }
    else
    {
      op->vtkImageHistogramStatistics::SetAutoRangeExpansionFactors(temp0);
    }

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildNone();
    }
  }

  return result;
}

static PyObject *
PyvtkImageHistogramStatistics_SetAutoRangeExpansionFactors(PyObject *self, PyObject *args)
{
  int nargs = vtkPythonArgs::GetArgCount(self, args);

  switch(nargs)
  {
    case 2:
      return PyvtkImageHistogramStatistics_SetAutoRangeExpansionFactors_s1(self, args);
    case 1:
      return PyvtkImageHistogramStatistics_SetAutoRangeExpansionFactors_s2(self, args);
  }

  vtkPythonArgs::ArgCountError(nargs, "SetAutoRangeExpansionFactors");
  return nullptr;
}



static PyObject *
PyvtkImageHistogramStatistics_GetAutoRangeExpansionFactors(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetAutoRangeExpansionFactors");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  int sizer = 2;
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double *tempr = (ap.IsBound() ?
      op->GetAutoRangeExpansionFactors() :
      op->vtkImageHistogramStatistics::GetAutoRangeExpansionFactors());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildTuple(tempr, sizer);
    }
  }

  return result;
}


static PyObject *
PyvtkImageHistogramStatistics_GetAutoRange(PyObject *self, PyObject *args)
{
  vtkPythonArgs ap(self, args, "GetAutoRange");
  vtkObjectBase *vp = ap.GetSelfPointer(self, args);
  vtkImageHistogramStatistics *op = static_cast<vtkImageHistogramStatistics *>(vp);

  int sizer = 2;
  PyObject *result = nullptr;

  if (op && ap.CheckArgCount(0))
  {
    double *tempr = (ap.IsBound() ?
      op->GetAutoRange() :
      op->vtkImageHistogramStatistics::GetAutoRange());

    if (!ap.ErrorOccurred())
    {
      result = ap.BuildTuple(tempr, sizer);
    }
  }

  return result;
}

static PyMethodDef PyvtkImageHistogramStatistics_Methods[] = {
  {"IsTypeOf", PyvtkImageHistogramStatistics_IsTypeOf, METH_VARARGS,
   "V.IsTypeOf(string) -> int\nC++: static vtkTypeBool IsTypeOf(const char *type)\n\nReturn 1 if this class type is the same type of (or a subclass\nof) the named class. Returns 0 otherwise. This method works in\ncombination with vtkTypeMacro found in vtkSetGet.h.\n"},
  {"IsA", PyvtkImageHistogramStatistics_IsA, METH_VARARGS,
   "V.IsA(string) -> int\nC++: vtkTypeBool IsA(const char *type) override;\n\nReturn 1 if this class is the same type of (or a subclass of) the\nnamed class. Returns 0 otherwise. This method works in\ncombination with vtkTypeMacro found in vtkSetGet.h.\n"},
  {"SafeDownCast", PyvtkImageHistogramStatistics_SafeDownCast, METH_VARARGS,
   "V.SafeDownCast(vtkObjectBase) -> vtkImageHistogramStatistics\nC++: static vtkImageHistogramStatistics *SafeDownCast(\n    vtkObjectBase *o)\n\n"},
  {"NewInstance", PyvtkImageHistogramStatistics_NewInstance, METH_VARARGS,
   "V.NewInstance() -> vtkImageHistogramStatistics\nC++: vtkImageHistogramStatistics *NewInstance()\n\n"},
  {"GetMinimum", PyvtkImageHistogramStatistics_GetMinimum, METH_VARARGS,
   "V.GetMinimum() -> float\nC++: double GetMinimum()\n\nGet the minimum value present in the image.  This value is\ncomputed when Update() is called.\n"},
  {"GetMaximum", PyvtkImageHistogramStatistics_GetMaximum, METH_VARARGS,
   "V.GetMaximum() -> float\nC++: double GetMaximum()\n\nGet the maximum value present in the image.  This value is\ncomputed when Update() is called.\n"},
  {"GetMean", PyvtkImageHistogramStatistics_GetMean, METH_VARARGS,
   "V.GetMean() -> float\nC++: double GetMean()\n\nGet the mean value of the image.  This value is computed when\nUpdate() is called.\n"},
  {"GetMedian", PyvtkImageHistogramStatistics_GetMedian, METH_VARARGS,
   "V.GetMedian() -> float\nC++: double GetMedian()\n\nGet the median value.  This is computed when Update() is called.\n"},
  {"GetStandardDeviation", PyvtkImageHistogramStatistics_GetStandardDeviation, METH_VARARGS,
   "V.GetStandardDeviation() -> float\nC++: double GetStandardDeviation()\n\nGet the standard deviation of the values in the image.  This is\ncomputed when Update() is called.\n"},
  {"SetAutoRangePercentiles", PyvtkImageHistogramStatistics_SetAutoRangePercentiles, METH_VARARGS,
   "V.SetAutoRangePercentiles(float, float)\nC++: void SetAutoRangePercentiles(double, double)\nV.SetAutoRangePercentiles((float, float))\nC++: void SetAutoRangePercentiles(double a[2])\n\n"},
  {"GetAutoRangePercentiles", PyvtkImageHistogramStatistics_GetAutoRangePercentiles, METH_VARARGS,
   "V.GetAutoRangePercentiles() -> (float, float)\nC++: double *GetAutoRangePercentiles()\n\n"},
  {"SetAutoRangeExpansionFactors", PyvtkImageHistogramStatistics_SetAutoRangeExpansionFactors, METH_VARARGS,
   "V.SetAutoRangeExpansionFactors(float, float)\nC++: void SetAutoRangeExpansionFactors(double, double)\nV.SetAutoRangeExpansionFactors((float, float))\nC++: void SetAutoRangeExpansionFactors(double a[2])\n\n"},
  {"GetAutoRangeExpansionFactors", PyvtkImageHistogramStatistics_GetAutoRangeExpansionFactors, METH_VARARGS,
   "V.GetAutoRangeExpansionFactors() -> (float, float)\nC++: double *GetAutoRangeExpansionFactors()\n\n"},
  {"GetAutoRange", PyvtkImageHistogramStatistics_GetAutoRange, METH_VARARGS,
   "V.GetAutoRange() -> (float, float)\nC++: double *GetAutoRange()\n\n"},
  {nullptr, nullptr, 0, nullptr}
};

static PyTypeObject PyvtkImageHistogramStatistics_Type = {
  PyVarObject_HEAD_INIT(&PyType_Type, 0)
  "vtkImagingStatisticsPython.vtkImageHistogramStatistics", // tp_name
  sizeof(PyVTKObject), // tp_basicsize
  0, // tp_itemsize
  PyVTKObject_Delete, // tp_dealloc
  0, // tp_print
  nullptr, // tp_getattr
  nullptr, // tp_setattr
  nullptr, // tp_compare
  PyVTKObject_Repr, // tp_repr
  nullptr, // tp_as_number
  nullptr, // tp_as_sequence
  nullptr, // tp_as_mapping
  nullptr, // tp_hash
  nullptr, // tp_call
  PyVTKObject_String, // tp_str
  PyObject_GenericGetAttr, // tp_getattro
  PyObject_GenericSetAttr, // tp_setattro
  &PyVTKObject_AsBuffer, // tp_as_buffer
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_BASETYPE, // tp_flags
  PyvtkImageHistogramStatistics_Doc, // tp_doc
  PyVTKObject_Traverse, // tp_traverse
  nullptr, // tp_clear
  nullptr, // tp_richcompare
  offsetof(PyVTKObject, vtk_weakreflist), // tp_weaklistoffset
  nullptr, // tp_iter
  nullptr, // tp_iternext
  nullptr, // tp_methods
  nullptr, // tp_members
  PyVTKObject_GetSet, // tp_getset
  nullptr, // tp_base
  nullptr, // tp_dict
  nullptr, // tp_descr_get
  nullptr, // tp_descr_set
  offsetof(PyVTKObject, vtk_dict), // tp_dictoffset
  nullptr, // tp_init
  nullptr, // tp_alloc
  PyVTKObject_New, // tp_new
  PyObject_GC_Del, // tp_free
  nullptr, // tp_is_gc
  nullptr, // tp_bases
  nullptr, // tp_mro
  nullptr, // tp_cache
  nullptr, // tp_subclasses
  nullptr, // tp_weaklist
  VTK_WRAP_PYTHON_SUPPRESS_UNINITIALIZED
};

static vtkObjectBase *PyvtkImageHistogramStatistics_StaticNew()
{
  return vtkImageHistogramStatistics::New();
}

PyObject *PyvtkImageHistogramStatistics_ClassNew()
{
  PyVTKClass_Add(
    &PyvtkImageHistogramStatistics_Type, PyvtkImageHistogramStatistics_Methods,
    "vtkImageHistogramStatistics",
 &PyvtkImageHistogramStatistics_StaticNew);

  PyTypeObject *pytype = &PyvtkImageHistogramStatistics_Type;

  if ((pytype->tp_flags & Py_TPFLAGS_READY) != 0)
  {
    return (PyObject *)pytype;
  }

#if !defined(VTK_PY3K) && PY_VERSION_HEX >= 0x02060000
  pytype->tp_flags |= Py_TPFLAGS_HAVE_NEWBUFFER;
#endif

  pytype->tp_base = (PyTypeObject *)PyvtkImageHistogram_ClassNew();

  PyType_Ready(pytype);
  return (PyObject *)pytype;
}

void PyVTKAddFile_vtkImageHistogramStatistics(
  PyObject *dict)
{
  PyObject *o;
  o = PyvtkImageHistogramStatistics_ClassNew();

  if (o && PyDict_SetItemString(dict, "vtkImageHistogramStatistics", o) != 0)
  {
    Py_DECREF(o);
  }

}