Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use handle method in Kiwi

Best Python code snippet using Kiwi_python

legend_handler.py

Source:legend_handler.py

1"""2This module defines default legend handlers.3It is strongly encouraged to have read the :ref:`legend guide4<plotting-guide-legend>` before this documentation.5Legend handlers are expected to be a callable object with a following6signature. ::7    legend_handler(legend, orig_handle, fontsize, handlebox)8Where *legend* is the legend itself, *orig_handle* is the original9plot, *fontsize* is the fontsize in pixles, and *handlebox* is a10OffsetBox instance. Within the call, you should create relevant11artists (using relevant properties from the *legend* and/or12*orig_handle*) and add them into the handlebox. The artists needs to13be scaled according to the fontsize (note that the size is in pixel,14i.e., this is dpi-scaled value).15This module includes definition of several legend handler classes16derived from the base class (HandlerBase) with the following method.17    def legend_artist(self, legend, orig_handle, fontsize, handlebox):18"""19from __future__ import (absolute_import, division, print_function,20                        unicode_literals)21import six22from six.moves import zip23from itertools import cycle24import numpy as np25from matplotlib.lines import Line2D26from matplotlib.patches import Rectangle27import matplotlib.collections as mcoll28import matplotlib.colors as mcolors29def update_from_first_child(tgt, src):30    tgt.update_from(src.get_children()[0])31class HandlerBase(object):32    """33    A Base class for default legend handlers.34    The derived classes are meant to override *create_artists* method, which35    has a following signature.::36      def create_artists(self, legend, orig_handle,37                         xdescent, ydescent, width, height, fontsize,38                         trans):39    The overridden method needs to create artists of the given40    transform that fits in the given dimension (xdescent, ydescent,41    width, height) that are scaled by fontsize if necessary.42    """43    def __init__(self, xpad=0., ypad=0., update_func=None):44        self._xpad, self._ypad = xpad, ypad45        self._update_prop_func = update_func46    def _update_prop(self, legend_handle, orig_handle):47        if self._update_prop_func is None:48            self._default_update_prop(legend_handle, orig_handle)49        else:50            self._update_prop_func(legend_handle, orig_handle)51    def _default_update_prop(self, legend_handle, orig_handle):52        legend_handle.update_from(orig_handle)53    def update_prop(self, legend_handle, orig_handle, legend):54        self._update_prop(legend_handle, orig_handle)55        legend._set_artist_props(legend_handle)56        legend_handle.set_clip_box(None)57        legend_handle.set_clip_path(None)58    def adjust_drawing_area(self, legend, orig_handle,59                            xdescent, ydescent, width, height, fontsize,60                            ):61        xdescent = xdescent - self._xpad * fontsize62        ydescent = ydescent - self._ypad * fontsize63        width = width - self._xpad * fontsize64        height = height - self._ypad * fontsize65        return xdescent, ydescent, width, height66    def legend_artist(self, legend, orig_handle,67                       fontsize, handlebox):68        """69        Return the artist that this HandlerBase generates for the given70        original artist/handle.71        Parameters72        ----------73        legend : :class:`matplotlib.legend.Legend` instance74            The legend for which these legend artists are being created.75        orig_handle : :class:`matplotlib.artist.Artist` or similar76            The object for which these legend artists are being created.77        fontsize : float or int78            The fontsize in pixels. The artists being created should79            be scaled according to the given fontsize.80        handlebox : :class:`matplotlib.offsetbox.OffsetBox` instance81            The box which has been created to hold this legend entry's82            artists. Artists created in the `legend_artist` method must83            be added to this handlebox inside this method.84        """85        xdescent, ydescent, width, height = self.adjust_drawing_area(86                 legend, orig_handle,87                 handlebox.xdescent, handlebox.ydescent,88                 handlebox.width, handlebox.height,89                 fontsize)90        artists = self.create_artists(legend, orig_handle,91                                      xdescent, ydescent, width, height,92                                      fontsize, handlebox.get_transform())93        # create_artists will return a list of artists.94        for a in artists:95            handlebox.add_artist(a)96        # we only return the first artist97        return artists[0]98    def create_artists(self, legend, orig_handle,99                       xdescent, ydescent, width, height, fontsize,100                       trans):101        raise NotImplementedError('Derived must override')102class HandlerNpoints(HandlerBase):103    def __init__(self, marker_pad=0.3, numpoints=None, **kw):104        HandlerBase.__init__(self, **kw)105        self._numpoints = numpoints106        self._marker_pad = marker_pad107    def get_numpoints(self, legend):108        if self._numpoints is None:109            return legend.numpoints110        else:111            return self._numpoints112    def get_xdata(self, legend, xdescent, ydescent, width, height, fontsize):113        numpoints = self.get_numpoints(legend)114        if numpoints > 1:115            # we put some pad here to compensate the size of the116            # marker117            pad = self._marker_pad * fontsize118            xdata = np.linspace(-xdescent + pad,119                                -xdescent + width - pad,120                                numpoints)121            xdata_marker = xdata122        elif numpoints == 1:123            xdata = np.linspace(-xdescent, -xdescent+width, 2)124            xdata_marker = [-xdescent + 0.5 * width]125        return xdata, xdata_marker126class HandlerNpointsYoffsets(HandlerNpoints):127    def __init__(self, numpoints=None, yoffsets=None, **kw):128        HandlerNpoints.__init__(self, numpoints=numpoints, **kw)129        self._yoffsets = yoffsets130    def get_ydata(self, legend, xdescent, ydescent, width, height, fontsize):131        if self._yoffsets is None:132            ydata = height * legend._scatteryoffsets133        else:134            ydata = height * np.asarray(self._yoffsets)135        return ydata136class HandlerLine2D(HandlerNpoints):137    """138    Handler for Line2D instances.139    """140    def __init__(self, marker_pad=0.3, numpoints=None, **kw):141        HandlerNpoints.__init__(self, marker_pad=marker_pad, numpoints=numpoints, **kw)142    def create_artists(self, legend, orig_handle,143                       xdescent, ydescent, width, height, fontsize,144                       trans):145        xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,146                                             width, height, fontsize)147        ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)148        legline = Line2D(xdata, ydata)149        self.update_prop(legline, orig_handle, legend)150        legline.set_drawstyle('default')151        legline.set_marker("")152        legline_marker = Line2D(xdata_marker, ydata[:len(xdata_marker)])153        self.update_prop(legline_marker, orig_handle, legend)154        legline_marker.set_linestyle('None')155        if legend.markerscale != 1:156            newsz = legline_marker.get_markersize() * legend.markerscale157            legline_marker.set_markersize(newsz)158        # we don't want to add this to the return list because159        # the texts and handles are assumed to be in one-to-one160        # correspondence.161        legline._legmarker = legline_marker162        legline.set_transform(trans)163        legline_marker.set_transform(trans)164        return [legline, legline_marker]165class HandlerPatch(HandlerBase):166    """167    Handler for Patch instances.168    """169    def __init__(self, patch_func=None, **kw):170        """171        The HandlerPatch class optionally takes a function ``patch_func``172        who's responsibility is to create the legend key artist. The173        ``patch_func`` should have the signature::174            def patch_func(legend=legend, orig_handle=orig_handle,175                           xdescent=xdescent, ydescent=ydescent,176                           width=width, height=height, fontsize=fontsize)177        Subsequently the created artist will have its ``update_prop`` method178        called and the appropriate transform will be applied.179        """180        HandlerBase.__init__(self, **kw)181        self._patch_func = patch_func182    def _create_patch(self, legend, orig_handle,183                      xdescent, ydescent, width, height, fontsize):184        if self._patch_func is None:185            p = Rectangle(xy=(-xdescent, -ydescent),186                          width=width, height=height)187        else:188            p = self._patch_func(legend=legend, orig_handle=orig_handle,189                                 xdescent=xdescent, ydescent=ydescent,190                                 width=width, height=height, fontsize=fontsize)191        return p192    def create_artists(self, legend, orig_handle,193                       xdescent, ydescent, width, height, fontsize, trans):194        p = self._create_patch(legend, orig_handle,195                               xdescent, ydescent, width, height, fontsize)196        self.update_prop(p, orig_handle, legend)197        p.set_transform(trans)198        return [p]199class HandlerLineCollection(HandlerLine2D):200    """201    Handler for LineCollection instances.202    """203    def get_numpoints(self, legend):204        if self._numpoints is None:205            return legend.scatterpoints206        else:207            return self._numpoints208    def _default_update_prop(self, legend_handle, orig_handle):209        lw = orig_handle.get_linewidths()[0]210        dashes = orig_handle._us_linestyles[0]211        color = orig_handle.get_colors()[0]212        legend_handle.set_color(color)213        legend_handle.set_linestyle(dashes)214        legend_handle.set_linewidth(lw)215    def create_artists(self, legend, orig_handle,216                       xdescent, ydescent, width, height, fontsize, trans):217        xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,218                                             width, height, fontsize)219        ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)220        legline = Line2D(xdata, ydata)221        self.update_prop(legline, orig_handle, legend)222        legline.set_transform(trans)223        return [legline]224class HandlerRegularPolyCollection(HandlerNpointsYoffsets):225    """226    Handler for RegularPolyCollections.227    """228    def __init__(self, yoffsets=None, sizes=None, **kw):229        HandlerNpointsYoffsets.__init__(self, yoffsets=yoffsets, **kw)230        self._sizes = sizes231    def get_numpoints(self, legend):232        if self._numpoints is None:233            return legend.scatterpoints234        else:235            return self._numpoints236    def get_sizes(self, legend, orig_handle,237                 xdescent, ydescent, width, height, fontsize):238        if self._sizes is None:239            handle_sizes = orig_handle.get_sizes()240            if not len(handle_sizes):241                handle_sizes = [1]242            size_max = max(handle_sizes) * legend.markerscale ** 2243            size_min = min(handle_sizes) * legend.markerscale ** 2244            numpoints = self.get_numpoints(legend)245            if numpoints < 4:246                sizes = [.5 * (size_max + size_min), size_max,247                         size_min][:numpoints]248            else:249                rng = (size_max - size_min)250                sizes = rng * np.linspace(0, 1, numpoints) + size_min251        else:252            sizes = self._sizes253        return sizes254    def update_prop(self, legend_handle, orig_handle, legend):255        self._update_prop(legend_handle, orig_handle)256        legend_handle.set_figure(legend.figure)257        #legend._set_artist_props(legend_handle)258        legend_handle.set_clip_box(None)259        legend_handle.set_clip_path(None)260    def create_collection(self, orig_handle, sizes, offsets, transOffset):261        p = type(orig_handle)(orig_handle.get_numsides(),262                              rotation=orig_handle.get_rotation(),263                              sizes=sizes,264                              offsets=offsets,265                              transOffset=transOffset,266                              )267        return p268    def create_artists(self, legend, orig_handle,269                       xdescent, ydescent, width, height, fontsize,270                       trans):271        xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,272                                             width, height, fontsize)273        ydata = self.get_ydata(legend, xdescent, ydescent,274                               width, height, fontsize)275        sizes = self.get_sizes(legend, orig_handle, xdescent, ydescent,276                               width, height, fontsize)277        p = self.create_collection(orig_handle, sizes,278                                   offsets=list(zip(xdata_marker, ydata)),279                                   transOffset=trans)280        self.update_prop(p, orig_handle, legend)281        p._transOffset = trans282        return [p]283class HandlerPathCollection(HandlerRegularPolyCollection):284    """285    Handler for PathCollections, which are used by scatter286    """287    def create_collection(self, orig_handle, sizes, offsets, transOffset):288        p = type(orig_handle)([orig_handle.get_paths()[0]],289                              sizes=sizes,290                              offsets=offsets,291                              transOffset=transOffset,292                              )293        return p294class HandlerCircleCollection(HandlerRegularPolyCollection):295    """296    Handler for CircleCollections297    """298    def create_collection(self, orig_handle, sizes, offsets, transOffset):299        p = type(orig_handle)(sizes,300                              offsets=offsets,301                              transOffset=transOffset,302                              )303        return p304class HandlerErrorbar(HandlerLine2D):305    """306    Handler for Errorbars307    """308    def __init__(self, xerr_size=0.5, yerr_size=None,309                 marker_pad=0.3, numpoints=None, **kw):310        self._xerr_size = xerr_size311        self._yerr_size = yerr_size312        HandlerLine2D.__init__(self, marker_pad=marker_pad, numpoints=numpoints,313                               **kw)314    def get_err_size(self, legend, xdescent, ydescent, width, height, fontsize):315        xerr_size = self._xerr_size * fontsize316        if self._yerr_size is None:317            yerr_size = xerr_size318        else:319            yerr_size = self._yerr_size * fontsize320        return xerr_size, yerr_size321    def create_artists(self, legend, orig_handle,322                       xdescent, ydescent, width, height, fontsize,323                       trans):324        plotlines, caplines, barlinecols = orig_handle325        xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,326                                             width, height, fontsize)327        ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)328        legline = Line2D(xdata, ydata)329        xdata_marker = np.asarray(xdata_marker)330        ydata_marker = np.asarray(ydata[:len(xdata_marker)])331        xerr_size, yerr_size = self.get_err_size(legend, xdescent, ydescent,332                                                 width, height, fontsize)333        legline_marker = Line2D(xdata_marker, ydata_marker)334        # when plotlines are None (only errorbars are drawn), we just335        # make legline invisible.336        if plotlines is None:337            legline.set_visible(False)338            legline_marker.set_visible(False)339        else:340            self.update_prop(legline, plotlines, legend)341            legline.set_drawstyle('default')342            legline.set_marker('None')343            self.update_prop(legline_marker, plotlines, legend)344            legline_marker.set_linestyle('None')345            if legend.markerscale != 1:346                newsz = legline_marker.get_markersize() * legend.markerscale347                legline_marker.set_markersize(newsz)348        handle_barlinecols = []349        handle_caplines = []350        if orig_handle.has_xerr:351            verts = [ ((x - xerr_size, y), (x + xerr_size, y))352                      for x, y in zip(xdata_marker, ydata_marker)]353            coll = mcoll.LineCollection(verts)354            self.update_prop(coll, barlinecols[0], legend)355            handle_barlinecols.append(coll)356            if caplines:357                capline_left = Line2D(xdata_marker - xerr_size, ydata_marker)358                capline_right = Line2D(xdata_marker + xerr_size, ydata_marker)359                self.update_prop(capline_left, caplines[0], legend)360                self.update_prop(capline_right, caplines[0], legend)361                capline_left.set_marker("|")362                capline_right.set_marker("|")363                handle_caplines.append(capline_left)364                handle_caplines.append(capline_right)365        if orig_handle.has_yerr:366            verts = [ ((x, y - yerr_size), (x, y + yerr_size))367                      for x, y in zip(xdata_marker, ydata_marker)]368            coll = mcoll.LineCollection(verts)369            self.update_prop(coll, barlinecols[0], legend)370            handle_barlinecols.append(coll)371            if caplines:372                capline_left = Line2D(xdata_marker, ydata_marker - yerr_size)373                capline_right = Line2D(xdata_marker, ydata_marker + yerr_size)374                self.update_prop(capline_left, caplines[0], legend)375                self.update_prop(capline_right, caplines[0], legend)376                capline_left.set_marker("_")377                capline_right.set_marker("_")378                handle_caplines.append(capline_left)379                handle_caplines.append(capline_right)380        artists = []381        artists.extend(handle_barlinecols)382        artists.extend(handle_caplines)383        artists.append(legline)384        artists.append(legline_marker)385        for artist in artists:386            artist.set_transform(trans)387        return artists388class HandlerStem(HandlerNpointsYoffsets):389    """390    Handler for Errorbars391    """392    def __init__(self, marker_pad=0.3, numpoints=None,393                 bottom=None, yoffsets=None, **kw):394        HandlerNpointsYoffsets.__init__(self, marker_pad=marker_pad,395                                        numpoints=numpoints,396                                        yoffsets=yoffsets,397                                        **kw)398        self._bottom = bottom399    def get_ydata(self, legend, xdescent, ydescent, width, height, fontsize):400        if self._yoffsets is None:401            ydata = height * (0.5 * legend._scatteryoffsets + 0.5)402        else:403            ydata = height * np.asarray(self._yoffsets)404        return ydata405    def create_artists(self, legend, orig_handle,406                       xdescent, ydescent, width, height, fontsize,407                       trans):408        markerline, stemlines, baseline = orig_handle409        xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,410                                             width, height, fontsize)411        ydata = self.get_ydata(legend, xdescent, ydescent,412                               width, height, fontsize)413        if self._bottom is None:414            bottom = 0.415        else:416            bottom = self._bottom417        leg_markerline = Line2D(xdata_marker, ydata[:len(xdata_marker)])418        self.update_prop(leg_markerline, markerline, legend)419        leg_stemlines = []420        for thisx, thisy in zip(xdata_marker, ydata):421            l = Line2D([thisx, thisx], [bottom, thisy])422            leg_stemlines.append(l)423        for lm, m in zip(leg_stemlines, stemlines):424            self.update_prop(lm, m, legend)425        leg_baseline = Line2D([np.min(xdata), np.max(xdata)],426                              [bottom, bottom])427        self.update_prop(leg_baseline, baseline, legend)428        artists = [leg_markerline]429        artists.extend(leg_stemlines)430        artists.append(leg_baseline)431        for artist in artists:432            artist.set_transform(trans)433        return artists434class HandlerTuple(HandlerBase):435    """436    Handler for Tuple.437    Additional kwargs are passed through to `HandlerBase`.438    Parameters439    ----------440    ndivide : int, optional441        The number of sections to divide the legend area into.  If None,442        use the length of the input tuple. Default is 1.443    pad : float, optional444        If None, fall back to `legend.borderpad` as the default.445        In units of fraction of font size. Default is None.446    """447    def __init__(self, ndivide=1, pad=None, **kwargs):448        self._ndivide = ndivide449        self._pad = pad450        HandlerBase.__init__(self, **kwargs)451    def create_artists(self, legend, orig_handle,452                       xdescent, ydescent, width, height, fontsize,453                       trans):454        handler_map = legend.get_legend_handler_map()455        if self._ndivide is None:456            ndivide = len(orig_handle)457        else:458            ndivide = self._ndivide459        if self._pad is None:460            pad = legend.borderpad * fontsize461        else:462            pad = self._pad * fontsize463        if ndivide > 1:464            width = (width - pad*(ndivide - 1)) / ndivide465        xds = [xdescent - (width + pad) * i for i in range(ndivide)]466        xds_cycle = cycle(xds)467        a_list = []468        for handle1 in orig_handle:469            handler = legend.get_legend_handler(handler_map, handle1)470            _a_list = handler.create_artists(legend, handle1,471                                             six.next(xds_cycle),472                                             ydescent,473                                             width, height,474                                             fontsize,475                                             trans)476            a_list.extend(_a_list)477        return a_list478class HandlerPolyCollection(HandlerBase):479    """480    Handler for PolyCollection used in fill_between and stackplot.481    """482    def _update_prop(self, legend_handle, orig_handle):483        def first_color(colors):484            colors = mcolors.to_rgba_array(colors)485            if len(colors):486                return colors[0]487            else:488                return "none"489        def get_first(prop_array):490            if len(prop_array):491                return prop_array[0]492            else:493                return None494        legend_handle.set_edgecolor(first_color(orig_handle.get_edgecolor()))495        legend_handle.set_facecolor(first_color(orig_handle.get_facecolor()))496        legend_handle.set_fill(orig_handle.get_fill())497        legend_handle.set_hatch(orig_handle.get_hatch())498        legend_handle.set_linewidth(get_first(orig_handle.get_linewidths()))499        legend_handle.set_linestyle(get_first(orig_handle.get_linestyles()))500        legend_handle.set_transform(get_first(orig_handle.get_transforms()))501        legend_handle.set_figure(orig_handle.get_figure())502        legend_handle.set_alpha(orig_handle.get_alpha())503    def create_artists(self, legend, orig_handle,504                       xdescent, ydescent, width, height, fontsize, trans):505        p = Rectangle(xy=(-xdescent, -ydescent),506                      width=width, height=height)507        self.update_prop(p, orig_handle, legend)508        p.set_transform(trans)...

dashboard-v2.js

Source:dashboard-v2.js

1/*2Template Name: Color Admin - Responsive Admin Dashboard Template build with Twitter Bootstrap 3 & 43Version: 4.0.04Author: Sean Ngu5Website: http://www.seantheme.com/color-admin-v4.0/admin/6*/7var getMonthName = function(number) {8    var month = [];9    month[0] = "JAN";10    month[1] = "FEB";11    month[2] = "MAR";12    month[3] = "APR";13    month[4] = "MAY";14    month[5] = "JUN";15    month[6] = "JUL";16    month[7] = "AUG";17    month[8] = "SEP";18    month[9] = "OCT";19    month[10] = "NOV";20    month[11] = "DEC";21    22    return month[number];23};24var getDate = function(date) {25    var currentDate = new Date(date);26    var dd = currentDate.getDate();27    var mm = currentDate.getMonth() + 1;28    var yyyy = currentDate.getFullYear();29    30    if (dd < 10) {31        dd = '0' + dd;32    }33    if (mm < 10) {34        mm = '0' + mm;35    }36    currentDate = yyyy+'-'+mm+'-'+dd;37    38    return currentDate;39};40var handleVisitorsAreaChart = function() {41	var handleGetDate = function(minusDate) {42		var d = new Date();43			d = d.setDate(d.getDate() - minusDate);44		return d;45	};46	var visitorAreaChartData = [{47		'key' : 'Unique Visitors',48		'color' : COLOR_AQUA,49		'values' : [ 50			[handleGetDate(77), 13], [handleGetDate(76), 13], [handleGetDate(75), 6 ], 51			[handleGetDate(73), 6 ], [handleGetDate(72), 6 ], [handleGetDate(71), 5 ], [handleGetDate(70), 5 ], 52			[handleGetDate(69), 5 ], [handleGetDate(68), 6 ], [handleGetDate(67), 7 ], [handleGetDate(66), 6 ], 53			[handleGetDate(65), 9 ], [handleGetDate(64), 9 ], [handleGetDate(63), 8 ], [handleGetDate(62), 10], 54			[handleGetDate(61), 10], [handleGetDate(60), 10], [handleGetDate(59), 10], [handleGetDate(58), 9 ], 55			[handleGetDate(57), 9 ], [handleGetDate(56), 10], [handleGetDate(55), 9 ], [handleGetDate(54), 9 ], 56			[handleGetDate(53), 8 ], [handleGetDate(52), 8 ], [handleGetDate(51), 8 ], [handleGetDate(50), 8 ], 57			[handleGetDate(49), 8 ], [handleGetDate(48), 7 ], [handleGetDate(47), 7 ], [handleGetDate(46), 6 ], 58			[handleGetDate(45), 6 ], [handleGetDate(44), 6 ], [handleGetDate(43), 6 ], [handleGetDate(42), 5 ], 59			[handleGetDate(41), 5 ], [handleGetDate(40), 4 ], [handleGetDate(39), 4 ], [handleGetDate(38), 5 ], 60			[handleGetDate(37), 5 ], [handleGetDate(36), 5 ], [handleGetDate(35), 7 ], [handleGetDate(34), 7 ], 61			[handleGetDate(33), 7 ], [handleGetDate(32), 10], [handleGetDate(31), 9 ], [handleGetDate(30), 9 ], 62			[handleGetDate(29), 10], [handleGetDate(28), 11], [handleGetDate(27), 11], [handleGetDate(26), 8 ], 63			[handleGetDate(25), 8 ], [handleGetDate(24), 7 ], [handleGetDate(23), 8 ], [handleGetDate(22), 9 ], 64			[handleGetDate(21), 8 ], [handleGetDate(20), 9 ], [handleGetDate(19), 10], [handleGetDate(18), 9 ], 65			[handleGetDate(17), 10], [handleGetDate(16), 16], [handleGetDate(15), 17], [handleGetDate(14), 16], 66			[handleGetDate(13), 17], [handleGetDate(12), 16], [handleGetDate(11), 15], [handleGetDate(10), 14], 67			[handleGetDate(9) , 24], [handleGetDate(8) , 18], [handleGetDate(7) , 15], [handleGetDate(6) , 14], 68			[handleGetDate(5) , 16], [handleGetDate(4) , 16], [handleGetDate(3) , 17], [handleGetDate(2) , 7 ], 69			[handleGetDate(1) , 7 ], [handleGetDate(0) , 7 ]70		]71	}, {72		'key' : 'Page Views',73		'color' : COLOR_BLUE,74		'values' : [ 75			[handleGetDate(77), 14], [handleGetDate(76), 13], [handleGetDate(75), 15], 76			[handleGetDate(73), 14], [handleGetDate(72), 13], [handleGetDate(71), 15], [handleGetDate(70), 16], 77			[handleGetDate(69), 16], [handleGetDate(68), 14], [handleGetDate(67), 14], [handleGetDate(66), 13], 78			[handleGetDate(65), 12], [handleGetDate(64), 13], [handleGetDate(63), 13], [handleGetDate(62), 15], 79			[handleGetDate(61), 16], [handleGetDate(60), 16], [handleGetDate(59), 17], [handleGetDate(58), 17], 80			[handleGetDate(57), 18], [handleGetDate(56), 15], [handleGetDate(55), 15], [handleGetDate(54), 15], 81			[handleGetDate(53), 19], [handleGetDate(52), 19], [handleGetDate(51), 18], [handleGetDate(50), 18], 82			[handleGetDate(49), 17], [handleGetDate(48), 16], [handleGetDate(47), 18], [handleGetDate(46), 18], 83			[handleGetDate(45), 18], [handleGetDate(44), 16], [handleGetDate(43), 14], [handleGetDate(42), 14], 84			[handleGetDate(41), 13], [handleGetDate(40), 14], [handleGetDate(39), 13], [handleGetDate(38), 10], 85			[handleGetDate(37), 9 ], [handleGetDate(36), 10], [handleGetDate(35), 11], [handleGetDate(34), 11], 86			[handleGetDate(33), 11], [handleGetDate(32), 10], [handleGetDate(31), 9 ], [handleGetDate(30), 10], 87			[handleGetDate(29), 13], [handleGetDate(28), 14], [handleGetDate(27), 14], [handleGetDate(26), 13], 88			[handleGetDate(25), 12], [handleGetDate(24), 11], [handleGetDate(23), 13], [handleGetDate(22), 13], 89			[handleGetDate(21), 13], [handleGetDate(20), 13], [handleGetDate(19), 14], [handleGetDate(18), 13], 90			[handleGetDate(17), 13], [handleGetDate(16), 19], [handleGetDate(15), 21], [handleGetDate(14), 22],91			[handleGetDate(13), 25], [handleGetDate(12), 24], [handleGetDate(11), 24], [handleGetDate(10), 22], 92			[handleGetDate(9) , 16], [handleGetDate(8) , 15], [handleGetDate(7) , 12], [handleGetDate(6) , 12], 93			[handleGetDate(5) , 15], [handleGetDate(4) , 15], [handleGetDate(3) , 15], [handleGetDate(2) , 18], 94			[handleGetDate(2) , 18], [handleGetDate(0) , 17]95		]96	}];97	nv.addGraph(function() {98		var stackedAreaChart = nv.models.stackedAreaChart()99			.useInteractiveGuideline(true)100			.x(function(d) { return d[0] })101			.y(function(d) { return d[1] })102			.pointSize(0.5)103			.margin({'left':35,'right': 25,'top': 20,'bottom':20})104			.controlLabels({stacked: 'Stacked'})105			.showControls(false)106			.duration(300);107		stackedAreaChart.xAxis.tickFormat(function(d) { 108			var monthsName = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];109			d = new Date(d);110			d = monthsName[d.getMonth()] + ' ' + d.getDate();111			return d ;112		});113		stackedAreaChart.yAxis.tickFormat(d3.format(',.0f'));114		d3.select('#visitors-line-chart')115			.append('svg')116			.datum(visitorAreaChartData)117			.transition().duration(1000)118			.call(stackedAreaChart)119			.each('start', function() {120				setTimeout(function() {121					d3.selectAll('#visitors-line-chart *').each(function() {122						if(this.__transition__)123							this.__transition__.duration = 1;124					})125				}, 0)126			});127		nv.utils.windowResize(stackedAreaChart.update);128		return stackedAreaChart;129	});130};131var handleVisitorsDonutChart = function() {132	var visitorDonutChartData = [133		{ 'label': 'Return Visitors', 'value' : 784466, 'color': COLOR_BLUE }, 134		{ 'label': 'New Visitors', 'value' : 416747, 'color': COLOR_GREEN }135	];136	var arcRadius = [137		{ inner: 0.65, outer: 0.93 },138		{ inner: 0.6, outer: 1 }139	];140	nv.addGraph(function() {141	  var donutChart = nv.models.pieChart()142		  .x(function(d) { return d.label })143		  .y(function(d) { return d.value })144		  .margin({'left': 10,'right':  10,'top': 10,'bottom': 10})145		  .showLegend(false)146		  .donut(true) 147		  .growOnHover(false)148		  .arcsRadius(arcRadius)149		  .donutRatio(0.5);150		151		donutChart.labelFormat(d3.format(',.0f'));152		153		d3.select('#visitors-donut-chart').append('svg')154			.datum(visitorDonutChartData)155			.transition().duration(3000)156			.call(donutChart);157		158		return donutChart;159	});160};161var handleVisitorsVectorMap = function() {162    if ($('#visitors-map').length !== 0) {163        $('#visitors-map').vectorMap({164            map: 'world_merc_en',165            scaleColors: [COLOR_BLACK_LIGHTER, COLOR_BLACK],166            container: $('#visitors-map'),167            normalizeFunction: 'linear',168            hoverOpacity: 0.5,169            hoverColor: false,170            zoomOnScroll: false,171            markerStyle: {172                initial: {173                    fill: COLOR_BLACK,174                    stroke: 'transparent',175                    r: 3176                }177            },178            regions: [{179                attribute: 'fill'180            }],181            regionStyle: {182                initial: {183                    fill: COLOR_BLACK_LIGHTER,184                    "fill-opacity": 1,185                    stroke: 'none',186                    "stroke-width": 0.4,187                    "stroke-opacity": 1188                },189                hover: {190                    "fill-opacity": 0.8191                },192                selected: {193                    fill: 'yellow'194                }195            },196            series: {197                regions: [{198					values: {199						IN: COLOR_BLUE,200						US: COLOR_GREEN,201						MN: COLOR_GREY_DARKER202					}203                }]204            },205            focusOn: {206                x: 0.5,207                y: 0.5,208                scale: 1209            },210            backgroundColor: 'transparent'211        });212    }213};214var handleScheduleCalendar = function() {215    var monthNames = ["January", "February", "March", "April", "May", "June",  "July", "August", "September", "October", "November", "December"];216    var dayNames = ["S", "M", "T", "W", "T", "F", "S"];217    var now = new Date(),218        month = now.getMonth() + 1,219        year = now.getFullYear();220    var events = [221        [222            '2/' + month + '/' + year,223            'Popover Title',224            '#',225            COLOR_GREEN,226            'Some contents here'227        ],228        [229            '5/' + month + '/' + year,230            'Tooltip with link',231            'http://www.seantheme.com/',232            COLOR_BLACK233        ],234        [235            '18/' + month + '/' + year,236            'Popover with HTML Content',237            '#',238            COLOR_BLACK,239            'Some contents here <div class="text-right"><a href="http://www.google.com">view more >>></a></div>'240        ],241        [242            '28/' + month + '/' + year,243            'Color Admin V1.3 Launched',244            'http://www.seantheme.com/color-admin-v1.3',245            COLOR_BLACK,246        ]247    ];248    var calendarTarget = $('#schedule-calendar');249    $(calendarTarget).calendar({250        months: monthNames,251        days: dayNames,252        events: events,253        popover_options:{254            placement: 'top',255            html: true256        }257    });258    $(calendarTarget).find('td.event').each(function() {259        var backgroundColor = $(this).css('background-color');260        $(this).removeAttr('style');261        $(this).find('a').css('background-color', backgroundColor);262    });263    $(calendarTarget).find('.icon-arrow-left, .icon-arrow-right').parent().on('click', function() {264        $(calendarTarget).find('td.event').each(function() {265            var backgroundColor = $(this).css('background-color');266            $(this).removeAttr('style');267            $(this).find('a').css('background-color', backgroundColor);268        });269    });270};271var handleDashboardGritterNotification = function() {272	setTimeout(function() {273		$.gritter.add({274			title: 'Welcome back, Admin!',275			text: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed tempus lacus ut lectus rutrum placerat.',276			image: '../assets/img/user/user-12.jpg',277			sticky: true,278			time: '',279			class_name: 'my-sticky-class'280		});281	}, 1000);282};283var DashboardV2 = function () {284	"use strict";285    return {286        //main function287        init: function () {288            handleVisitorsAreaChart();289            handleVisitorsDonutChart();290            handleVisitorsVectorMap();291            handleScheduleCalendar();292            handleDashboardGritterNotification();293        }294    };...

session_ops_test.py

Source:session_ops_test.py

...31      # Return a handle.32      a = constant_op.constant(10)33      b = constant_op.constant(5)34      c = math_ops.multiply(a, b)35      h = session_ops.get_session_handle(c)36      h = sess.run(h)37      # Feed a tensor handle.38      f, x = session_ops.get_session_tensor(h.handle, dtypes.int32)39      y = math_ops.multiply(x, 10)40      self.assertEqual(500, sess.run(y, feed_dict={f: h.handle}))41  def testHandleEval(self):42    with self.test_session() as sess:43      # Return a handle.44      a = constant_op.constant(10)45      b = constant_op.constant(5)46      c = math_ops.multiply(a, b)47      h = session_ops.get_session_handle(c)48      h = sess.run(h)49      # Get the tensor from its handle.50      self.assertEqual(50, h.eval())51  def testHandleAndValue(self):52    with self.test_session() as sess:53      # Return a handle and a value.54      a = constant_op.constant(10)55      b = constant_op.constant(5)56      c = math_ops.multiply(a, b)57      h = session_ops.get_session_handle(c)58      v = math_ops.multiply(a, c)59      h, v = sess.run([h, v])60      self.assertEqual(50, h.eval())61      self.assertEqual(500, v)62  def testHandleCond(self):63    with self.test_session() as sess:64      # Return a handle and a value65      a = constant_op.constant(10)66      b = constant_op.constant(5)67      p = math_ops.less(a, b)68      c = math_ops.multiply(a, b)69      h = session_ops.get_session_handle(c)70      p, h = sess.run([p, h])71      # Run by feeding a tensor handle.72      f, x = session_ops.get_session_tensor(h.handle, dtypes.int32)73      if p:74        y = math_ops.multiply(x, 10)75      else:76        y = math_ops.multiply(x, 100)77      result = sess.run(y, feed_dict={f: h.handle})78      self.assertEqual(5000, result)79  def testHandleForLoop(self):80    with self.test_session() as sess:81      # Initialize a handle.82      a = constant_op.constant(0)83      h = session_ops.get_session_handle(a)84      h = sess.run(h)85      # Do some computation.86      f, x = session_ops.get_session_tensor(h.handle, dtypes.int32)87      # Must define the loop body outside the loop.88      h_x = session_ops.get_session_handle(math_ops.add(x, 1))89      for _ in range(100):90        # This exercises garbage collection.91        h = sess.run(h_x, feed_dict={f: h.handle})92      self.assertEqual(100, h.eval())93  def testHandleWhileLoop(self):94    with self.test_session() as sess:95      # Initialize a handle.96      a = constant_op.constant(0)97      h = session_ops.get_session_handle(a)98      h = sess.run(h)99      # Do some computation.100      f, x = session_ops.get_session_tensor(h.handle, dtypes.int32)101      b = constant_op.constant(100)102      p = math_ops.less(x, b)103      # Must define the loop body outside the loop.104      h_x = session_ops.get_session_handle(math_ops.add(x, 1))105      while True:106        rp, h = sess.run([p, h_x], feed_dict={f: h.handle})107        if not rp:108          break109      self.assertEqual(101, h.eval())110  def testHandleMover(self):111    with self.test_session() as sess:112      # Return a handle.113      a = constant_op.constant(10)114      b = constant_op.constant(5)115      c = math_ops.multiply(a, b)116      h = session_ops.get_session_handle(c)117      h = sess.run(h)118      # Feed a tensor handle.119      f, x = session_ops.get_session_tensor(h.handle, dtypes.int32)120      y = math_ops.multiply(x, 10)121      self.assertEqual(500, sess.run(y, feed_dict={f: h.handle}))122      # Feed another tensor handle.123      with ops.device(test.gpu_device_name()):124        a = constant_op.constant(10)125        h = session_ops.get_session_handle(a)126        h = sess.run(h)127        self.assertEqual(100, sess.run(y, feed_dict={f: h.handle}))128  def testHandleDelete(self):129    with self.test_session() as sess:130      # Return a handle.131      a = constant_op.constant(10)132      b = constant_op.constant(5)133      c = math_ops.multiply(a, b)134      h = session_ops.get_session_handle(c)135      sess.run(h).delete()136  def testHandleDeleteRaw(self):137    with self.test_session() as sess:138      # Return a handle.139      a = constant_op.constant(10)140      b = constant_op.constant(5)141      c = math_ops.multiply(a, b)142      h = session_ops.get_session_handle(c)143      h = sess.run(h)144      # Delete using a raw tensor handle.145      raw_h = h.get_raw_handle()146      f, x = session_ops.delete_session_tensor(raw_h)147      sess.run(x, feed_dict={f: raw_h})148  def testMultiDevices(self):149    with self.test_session() as sess:150      with ops.device(test.gpu_device_name()):151        a = constant_op.constant(1.0)152        a_handle = sess.run(session_ops.get_session_handle(a))153      with ops.device("/cpu:0"):154        b = constant_op.constant(2.0)155        b_handle = sess.run(session_ops.get_session_handle(b))156      a_p, a_t = session_ops.get_session_tensor(a_handle.handle, dtypes.float32)157      b_p, b_t = session_ops.get_session_tensor(b_handle.handle, dtypes.float32)158      c = math_ops.add(a_t, b_t)159      c_handle = sess.run(160          session_ops.get_session_handle(c),161          feed_dict={a_p: a_handle.handle,162                     b_p: b_handle.handle})163      self.assertEqual(3.0, c_handle.eval())164  def testHandleGC(self):165    with self.test_session() as sess:166      # initial values live on CPU167      with ops.device("/cpu:0"):168        one = constant_op.constant(1, dtype=dtypes.float32)169        one_handle = sess.run(session_ops.get_session_handle(one))170        x_handle = sess.run(session_ops.get_session_handle(one))171      # addition lives on GPU172      with ops.device(test.gpu_device_name()):173        add_h1, add_t1 = session_ops.get_session_tensor(one_handle.handle,174                                                        dtypes.float32)175        add_h2, add_t2 = session_ops.get_session_tensor(x_handle.handle,176                                                        dtypes.float32)177        add_op = math_ops.add(add_t1, add_t2)178        add_output = session_ops.get_session_handle(add_op)179      # add 1 to tensor 20 times180      for _ in range(20):181        x_handle = sess.run(182            add_output,183            feed_dict={add_h1: one_handle.handle,184                       add_h2: x_handle.handle})185  def testHandlePlacement(self):186    with self.test_session() as sess:187      a = constant_op.constant(1.0)188      a_handle_op = session_ops.get_session_handle(a)189      b = constant_op.constant(2.0)190      b_handle_op = session_ops.get_session_handle(b)191      a_handle = sess.run(a_handle_op)192      b_handle = sess.run(b_handle_op)193      a_p, a_t = session_ops.get_session_tensor(a_handle.handle, dtypes.float32)194      b_p, b_t = session_ops.get_session_tensor(b_handle.handle, dtypes.float32)195      c = math_ops.add(a_t, b_t)196      c_handle = sess.run(197          session_ops.get_session_handle(c),198          feed_dict={a_p: a_handle.handle,199                     b_p: b_handle.handle})200      self.assertEqual(3.0, c_handle.eval())201  def testFeedOneHandleDirectly(self):202    with self.test_session() as sess:203      a = constant_op.constant(10.0)204      b = constant_op.constant(5.0)205      c = math_ops.multiply(a, b)206      d = math_ops.multiply(c, c)207      h_c = sess.run(session_ops.get_session_handle(c))208      self.assertAllClose(2500.0, sess.run(d, feed_dict={c: h_c}))209  def testDirectHandleFeedOverlappingWithFetches(self):210    with self.test_session() as sess:211      a = constant_op.constant(10.0)212      b = constant_op.constant(5.0)213      c = math_ops.multiply(a, b)214      h_c = sess.run(session_ops.get_session_handle(c))215      d = array_ops.identity(c)216      c_val = sess.run(c, feed_dict={c: h_c})217      self.assertAllClose(50.0, c_val)218      d_val = sess.run(d, feed_dict={c: h_c})219      self.assertAllClose(50.0, d_val)220      c_val, d_val = sess.run([c, d], feed_dict={c: h_c, d: 60.0})221      self.assertAllClose(50.0, c_val)222      self.assertAllClose(60.0, d_val)223      c_val, d_val = sess.run([c, d], feed_dict={c: 60.0, d: h_c})224      self.assertAllClose(60.0, c_val)225      self.assertAllClose(50.0, d_val)226      c_val, d_val = sess.run([c, d], feed_dict={c: h_c, d: h_c})227      self.assertAllClose(50.0, c_val)228      self.assertAllClose(50.0, d_val)229  def testFeedTwoHandlesDirectly(self):230    with self.test_session() as sess:231      a = constant_op.constant(10.0)232      b = constant_op.constant(5.0)233      c = math_ops.multiply(a, b)234      d = math_ops.div(a, b)235      e = math_ops.subtract(c, d)236      h_c = sess.run(session_ops.get_session_handle(c))237      h_d = sess.run(session_ops.get_session_handle(d))238      self.assertAllClose(48.0, sess.run(e, feed_dict={c: h_c, d: h_d}))239      self.assertAllClose(-48.0, sess.run(e, feed_dict={c: h_d, d: h_c}))240  def testFeedHandleToVariableDirectly(self):241    with self.test_session() as sess:242      a = variables.Variable(12.0)243      inc_a = state_ops.assign_add(a, 2.0)244      b = math_ops.add(a, 5.0)245      sess.run(a.initializer)246      h_a_read = sess.run(session_ops.get_session_handle(a.read_value()))247      self.assertAllClose(12.0, sess.run(a))248      self.assertAllClose(17.0, sess.run(b, feed_dict={a: h_a_read}))249      sess.run(inc_a)250      self.assertAllClose(19.0, sess.run(b, feed_dict={a: h_a_read}))251if __name__ == "__main__":...

session_ops.py

Source:session_ops.py

...30from tensorflow.python.framework import ops31from tensorflow.python.ops import array_ops32from tensorflow.python.ops import gen_data_flow_ops33from tensorflow.python.util import compat34def encode_resource_handle(resource_handle):35  """Encode a ResourceHandle proto as custom numpy struct type."""36  return np.asarray(bytearray(resource_handle.SerializeToString()),37                    dtype=dtypes.np_resource)38class TensorHandle(object):39  """Represents a handle for a live tensor in a session."""40  def __init__(self, handle, dtype, session):41    """Constructs a new tensor handle.42    A tensor handle for a persistent tensor is a python string43    that has the form of "tensor_name;unique_id;device_name".44    Args:45      handle: A tensor handle.46      dtype: The data type of the tensor represented by `handle`.47      session: The session in which the tensor is produced.48    """49    self._handle = compat.as_str_any(handle)50    self._resource_handle = None51    self._dtype = dtype52    self._session = session53    self._auto_gc_enabled = True54  def __del__(self):55    if self._auto_gc_enabled:56      self._session._register_dead_handle(self.handle)57  def __str__(self):58    return self._handle59  def _get_resource_handle(self):60    """The ResourceHandle representation of this handle."""61    if not self._resource_handle:62      self._resource_handle = resource_handle_pb2.ResourceHandleProto()63      self._resource_handle.device = self._handle.split(";")[-1]64      self._resource_handle.container = (65          pywrap_tensorflow_internal.TENSOR_HANDLE_KEY)66      self._resource_handle.name = self._handle67    return self._resource_handle68  def to_numpy_array(self):69    """Convert a TensorHandle object to a feedable numpy value.70    Returns:71      A numpy array of a custom struct type that can be used as a feed value72      to run().73    """74    return encode_resource_handle(self._get_resource_handle())75  @property76  def handle(self):77    """The string representation of this handle."""78    return self._handle79  def eval(self):80    """Return the value of the tensor represented by this handle."""81    if not self._auto_gc_enabled:82      raise TypeError("Persistent tensor %s may have already been deleted."83                      % self.handle)84    holder, reader = _get_handle_reader(self._session.graph, self._handle,85                                        self._dtype)86    return self._session.run(reader, feed_dict={holder: self._handle})87  def delete(self):88    """Force the deletion of this persistent tensor."""89    if not self._auto_gc_enabled:90      raise TypeError("Persistent tensor %s may have already been deleted."91                      % self.handle)92    self._auto_gc_enabled = False93    holder, deleter = _get_handle_deleter(self._session.graph, 0, self._handle)94    self._session.run(deleter, feed_dict={holder: self.handle})95  def get_raw_handle(self):96    """Return the raw handle of the tensor.97    Note that the method disables the automatic garbage collection of this98    persistent tensor. The caller is now responsible for managing the life99    time of the tensor.100    """101    self._auto_gc_enabled = False102    return self._handle103  @staticmethod104  def _get_device_name(handle):105    """The device name encoded in the handle."""106    handle_str = compat.as_str_any(handle)107    return pydev.canonical_name(handle_str.split(";")[-1])108  @staticmethod109  def _get_reader_key(handle):110    """The graph key for reader."""111    handle_parts = str(handle).split(";")112    return handle_parts[0] + ";" + handle_parts[-1]113  @staticmethod114  def _get_mover_key(feeder, handle):115    """The graph key for mover."""116    return feeder.op.name + ";" + TensorHandle._get_reader_key(handle)117def get_session_handle(data, name=None):118  """Return the handle of `data`.119  This is EXPERIMENTAL and subject to change.120  Keep `data` "in-place" in the runtime and create a handle that can be121  used to retrieve `data` in a subsequent run().122  Combined with `get_session_tensor`, we can keep a tensor produced in123  one run call in place, and use it as the input in a future run call.124  Args:125    data: A tensor to be stored in the session.126    name: Optional name prefix for the return tensor.127  Returns:128    A scalar string tensor representing a unique handle for `data`.129  Raises:130    TypeError: if `data` is not a Tensor.131  Example:132  ```python133  c = tf.multiply(a, b)134  h = tf.get_session_handle(c)135  h = sess.run(h)136  p, a = tf.get_session_tensor(h.handle, tf.float32)137  b = tf.multiply(a, 10)138  c = sess.run(b, feed_dict={p: h.handle})139  ```140  """141  if not isinstance(data, ops.Tensor):142    raise TypeError("`data` must be of type Tensor.")143  # Colocate this operation with data.144  with ops.colocate_with(data):145    return gen_data_flow_ops._get_session_handle(data, name=name)  # pylint: disable=protected-access146def get_session_tensor(handle, dtype, name=None):147  """Get the tensor of type `dtype` by feeding a tensor handle.148  This is EXPERIMENTAL and subject to change.149  Get the value of the tensor from a tensor handle. The tensor150  is produced in a previous run() and stored in the state of the151  session.152  Args:153    handle: The string representation of a persistent tensor handle.154    dtype: The type of the output tensor.155    name: Optional name prefix for the return tensor.156  Returns:157    A pair of tensors. The first is a placeholder for feeding a158    tensor handle and the second is the tensor in the session state159    keyed by the tensor handle.160  Example:161  ```python162  c = tf.multiply(a, b)163  h = tf.get_session_handle(c)164  h = sess.run(h)165  p, a = tf.get_session_tensor(h.handle, tf.float32)166  b = tf.multiply(a, 10)167  c = sess.run(b, feed_dict={p: h.handle})168  ```169  """170  handle_device = TensorHandle._get_device_name(handle)171  with ops.device(handle_device):172    holder = array_ops.placeholder(dtypes.string)173    _register_handle_feeder(holder.graph, holder, dtype)174    tensor = gen_data_flow_ops._get_session_tensor(holder, dtype, name=name)175  return (holder, tensor)176def delete_session_tensor(handle, name=None):177  """Delete the tensor for the given tensor handle.178  This is EXPERIMENTAL and subject to change.179  Delete the tensor of a given tensor handle. The tensor is produced180  in a previous run() and stored in the state of the session.181  Args:182    handle: The string representation of a persistent tensor handle.183    name: Optional name prefix for the return tensor.184  Returns:185    A pair of graph elements. The first is a placeholder for feeding a186    tensor handle and the second is a deletion operation.187  """188  handle_device = TensorHandle._get_device_name(handle)189  with ops.device(handle_device):190    holder = array_ops.placeholder(dtypes.string)191    deleter = gen_data_flow_ops._delete_session_tensor(holder, name=name)192  return (holder, deleter)193def _register_handle_feeder(graph, feeder, dtype):194  graph._handle_feeders[feeder.op.name] = dtype195def _get_handle_feeder(graph, feeder):196  return graph._handle_feeders.get(feeder.op.name)197def _get_handle_reader(graph, handle, dtype):198  """Return a read subgraph for this handle."""199  graph_key = TensorHandle._get_reader_key(handle)200  result = graph._handle_readers.get(graph_key)201  if result is None:202    # Create reader if we haven't done it.203    handle_device = TensorHandle._get_device_name(handle)204    with graph.as_default(), graph.device(handle_device):205      holder = array_ops.placeholder(dtypes.string)206      _register_handle_feeder(holder.graph, holder, dtype)207      reader = gen_data_flow_ops._get_session_tensor(holder, dtype)208    result = (holder, reader)209    graph._handle_readers[graph_key] = result210  return result211def _get_handle_mover(graph, feeder, handle):212  """Return a move subgraph for this pair of feeder and handle."""213  dtype = _get_handle_feeder(graph, feeder)214  if dtype is None:215    return None216  handle_device = TensorHandle._get_device_name(handle)217  if feeder.op.device == handle_device:218    return None219  # Now we know we have to move the tensor.220  graph_key = TensorHandle._get_mover_key(feeder, handle)221  result = graph._handle_movers.get(graph_key)222  if result is None:223    # Create mover if we haven't done it.224    holder, reader = _get_handle_reader(graph, handle, dtype)225    with graph.as_default(), graph.device(feeder.op.device):226      mover = gen_data_flow_ops._get_session_handle(reader)  # pylint: disable=protected-access227    result = (holder, mover)228    graph._handle_movers[graph_key] = result229  return result230def _get_handle_deleter(graph, deleter_key, handle):231  """Return a deletion subgraph for this handle."""232  result = graph._handle_deleters.get(deleter_key)233  if result is None:234    # Create deleter if we haven't done it.235    handle_device = TensorHandle._get_device_name(handle)236    with graph.as_default(), graph.device(handle_device):237      holder = array_ops.placeholder(dtypes.string)238      deleter = gen_data_flow_ops._delete_session_tensor(holder)239    result = (holder, deleter)240    graph._handle_deleters[deleter_key] = result...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.