How to use _histogram method in yandex-tank

Best Python code snippet using yandex-tank

histogram2D.py

Source:histogram2D.py

1# $Id$2from module_base import ModuleBase3from module_mixins import ScriptedConfigModuleMixin4import module_utils5import vtk6import vtkdevide7class histogram2D(ScriptedConfigModuleMixin, ModuleBase):8    """This module takes two inputs and creates a 2D histogram with input 29    vs input 1, i.e. input 1 on x-axis and input 2 on y-axis.10    The inputs have to have identical dimensions.11    """12    def __init__(self, module_manager):13        ModuleBase.__init__(self, module_manager)14        self._histogram = vtkdevide.vtkImageHistogram2D()15        module_utils.setup_vtk_object_progress(self, self._histogram,16                                           'Calculating 2D histogram')17        self._config.input1Bins = 25618        self._config.input2Bins = 25619        self._config.maxSamplesPerBin = 51220        configList = [21            ('Number of bins for input 1', 'input1Bins', 'base:int', 'text',22             'The full range of input 1 values will be divided into this many '23             'classes.'),24            ('Number of bins for input 2', 'input2Bins', 'base:int', 'text',25             'The full range of input 2 values will be divided into this many '26             'classes.'),27            ('Maximum samples per bin', 'maxSamplesPerBin', 'base:int', 'text',28             'The number of samples per 2D bin/class will be truncated to '29             'this value.')]30        ScriptedConfigModuleMixin.__init__(31            self, configList,32            {'Module (self)' : self,33             'vtkImageHistogram2D' : self._histogram})34        self.sync_module_logic_with_config()35        self._input0 = None36        self._input1 = None37    def close(self):38        self.set_input(0, None)39        self.set_input(1, None)40        ScriptedConfigModuleMixin.close(self)41        ModuleBase.close(self)42        del self._histogram43    def get_input_descriptions(self):44        return ('Image Data 1', 'Imaga Data 2')45    def set_input(self, idx, inputStream):46        def checkTypeAndReturnInput(inputStream):47            """Check type of input.  None gets returned.  The input is48            returned if it has a valid type.  An exception is thrown if49            the input is invalid.50            """51            52            if inputStream == None:53                # disconnect54                return None55                56            else:57                # first check the type58                validType = False59                try:60                    if inputStream.IsA('vtkImageData'):61                        validType = True62                except AttributeError:63                    # validType is already False64                    pass65                if not validType:66                    raise TypeError, 'Input has to be of type vtkImageData.'67                else:68                    return inputStream69            70            71        if idx == 0:72            self._input0 = checkTypeAndReturnInput(inputStream)73            self._histogram.SetInput1(self._input0)74        elif idx == 1:75            self._input1 = checkTypeAndReturnInput(inputStream)76            self._histogram.SetInput2(self._input1)77    def get_output_descriptions(self):78        return (self._histogram.GetOutput().GetClassName(),)79    def get_output(self, idx):80        #raise NotImplementedError81        return self._histogram.GetOutput()82    def execute_module(self):83        self._histogram.Update()84    def logic_to_config(self):85        self._config.input1Bins = self._histogram.GetInput1Bins()86        self._config.input2Bins = self._histogram.GetInput2Bins()87        self._config.maxSamplesPerBin = self._histogram.GetMaxSamplesPerBin()88    89    def config_to_logic(self):90        self._histogram.SetInput1Bins(self._config.input1Bins)91        self._histogram.SetInput2Bins(self._config.input2Bins)92        self._histogram.SetMaxSamplesPerBin(self._config.maxSamplesPerBin)93    # ----------------------------------------------------------------------94    # non-API methods start here -------------------------------------------95    # ----------------------------------------------------------------------96    97    def _histogramSourceExecute(self):98        """Execute callback for the vtkProgrammableSource histogram instance.99        """...

GL.EXT.histogram.011f.py

Source:GL.EXT.histogram.011f.py

1# This file was created automatically by SWIG.2# Don't modify this file, modify the SWIG interface instead.3# This file is compatible with both classic and new-style classes.4import _histogram5def _swig_setattr_nondynamic(self,class_type,name,value,static=1):6    if (name == "this"):7        if isinstance(value, class_type):8            self.__dict__[name] = value.this9            if hasattr(value,"thisown"): self.__dict__["thisown"] = value.thisown10            del value.thisown11            return12    method = class_type.__swig_setmethods__.get(name,None)13    if method: return method(self,value)14    if (not static) or hasattr(self,name) or (name == "thisown"):15        self.__dict__[name] = value16    else:17        raise AttributeError("You cannot add attributes to %s" % self)18def _swig_setattr(self,class_type,name,value):19    return _swig_setattr_nondynamic(self,class_type,name,value,0)20def _swig_getattr(self,class_type,name):21    method = class_type.__swig_getmethods__.get(name,None)22    if method: return method(self)23    raise AttributeError,name24import types25try:26    _object = types.ObjectType27    _newclass = 128except AttributeError:29    class _object : pass30    _newclass = 031del types32__version__ = _histogram.__version__33__date__ = _histogram.__date__34__api_version__ = _histogram.__api_version__35__author__ = _histogram.__author__36__doc__ = _histogram.__doc__37glResetHistogramEXT = _histogram.glResetHistogramEXT38glInitHistogramEXT = _histogram.glInitHistogramEXT39__info = _histogram.__info40GL_HISTOGRAM_EXT = _histogram.GL_HISTOGRAM_EXT41GL_PROXY_HISTOGRAM_EXT = _histogram.GL_PROXY_HISTOGRAM_EXT42GL_HISTOGRAM_WIDTH_EXT = _histogram.GL_HISTOGRAM_WIDTH_EXT43GL_HISTOGRAM_FORMAT_EXT = _histogram.GL_HISTOGRAM_FORMAT_EXT44GL_HISTOGRAM_RED_SIZE_EXT = _histogram.GL_HISTOGRAM_RED_SIZE_EXT45GL_HISTOGRAM_GREEN_SIZE_EXT = _histogram.GL_HISTOGRAM_GREEN_SIZE_EXT46GL_HISTOGRAM_BLUE_SIZE_EXT = _histogram.GL_HISTOGRAM_BLUE_SIZE_EXT47GL_HISTOGRAM_ALPHA_SIZE_EXT = _histogram.GL_HISTOGRAM_ALPHA_SIZE_EXT48GL_HISTOGRAM_LUMINANCE_SIZE_EXT = _histogram.GL_HISTOGRAM_LUMINANCE_SIZE_EXT49GL_HISTOGRAM_SINK_EXT = _histogram.GL_HISTOGRAM_SINK_EXT50GL_MINMAX_EXT = _histogram.GL_MINMAX_EXT51GL_MINMAX_FORMAT_EXT = _histogram.GL_MINMAX_FORMAT_EXT...

debugging_vars.py

Source:debugging_vars.py

1import numpy as np2DEBUGGING_VARS = {"FIND_NEIGHBOUR_DIST": False}3def extract_histogram(spatial_ops, normalize=True):4    out = []5    for idx, nf in enumerate(spatial_ops["neighbour_finder"]):6        dist_meters = nf.dist_meters7        temp = {}8        for dist_meter in dist_meters:9            hist = dist_meter.histogram.copy()10            if normalize:11                hist /= hist.sum()12            temp[str(dist_meter.radius)] = hist.tolist()13            dist_meter.reset()14        out.append(temp)15    return out16class DistributionNeighbour(object):17    def __init__(self, radius, bins=1000):...

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