/external/lisa/libs/utils/analysis/ |
D | eas_analysis.py | 115 axes = plt.subplot(gs[0, :]) 116 axes.set_title('Source and Destination CPUs') 117 df[['src_cpu', 'dst_cpu']].plot(ax=axes, style=['bo', 'r+']) 118 axes.set_ylim(-1, self._platform['cpus_count']+1) 119 axes.set_xlim(self._trace.x_min, self._trace.x_max) 120 axes.grid(True) 121 axes.set_xticklabels([]) 122 axes.set_xlabel('') 123 self._trace.analysis.status.plotOverutilized(axes) 126 axes = plt.subplot(gs[1, :]) [all …]
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D | frequency_analysis.py | 172 axes = pltaxes[0] 173 axes.set_title('big Cluster') 175 axes.axhline(avg_bfreq, color='r', linestyle='--', linewidth=2) 176 axes.set_ylim( 181 bfreq['frequency'].plot(style=['r-'], ax=axes, 185 axes.set_xlim(self._trace.x_min, self._trace.x_max) 186 axes.set_ylabel('MHz') 187 axes.grid(True) 188 axes.set_xticklabels([]) 189 axes.set_xlabel('') [all …]
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D | tasks_analysis.py | 306 axes = plt.subplot(gs[plot_id, 0]) 307 axes.set_title('Task [{0:d}:{1:s}] Signals' 311 self._plotTaskSignals(axes, tid, signals, is_last) 318 axes = plt.subplot(gs[plot_id, 0]) 319 axes.set_title( 327 self._plotTaskResidencies(axes, tid, signals_to_plot, is_last) 334 axes = plt.subplot(gs[plot_id, 0]) 335 axes.set_title('Task [{0:d}:{1:s}] PELT Signals' 340 self._plotTaskPelt(axes, tid, signals_to_plot) 391 fig, axes = plt.subplots(big_frequent_tasks_count, 1, [all …]
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D | latency_analysis.py | 367 axes = plt.subplot(gs[0,0:2]) 368 axes.set_title(plot_title) 371 wkp_df.plot(style='b+', logy=True, ax=axes) 375 prt_df.plot(style='r+', logy=True, ax=axes) 377 axes.axhline(threshold_ms / 1000., linestyle='--', color='g') 378 self._trace.analysis.status.plotOverutilized(axes) 379 axes.legend(loc='lower center', ncol=2) 380 axes.set_xlim(self._trace.x_min, self._trace.x_max) 383 axes = plt.subplot(gs[1,0]) 384 cdf.df.plot(ax=axes, legend=False, xlim=(0,None), [all …]
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D | cpus_analysis.py | 122 axes = pltaxes 124 axes = pltaxes[idx] 127 axes.set_title('{0:s}CPU [{1:d}]'.format(label1, cpu)) 131 df[['util_avg']].plot(ax=axes, drawstyle='steps-post', 151 data.plot(ax=axes, style=['m', '--y'], 155 self._trace.analysis.status.plotOverutilized(axes) 157 axes.set_ylim(0, 1100) 158 axes.set_xlim(self._trace.x_min, self._trace.x_max) 161 axes.annotate("{}CPUs Signals".format(label1), 162 xy=(0, axes.get_ylim()[1]), [all …]
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D | status_analysis.py | 70 def plotOverutilized(self, axes=None): argument 92 if not axes: 95 axes = plt.subplot(gs[0, 0]) 96 axes.set_title('System Status {white: EAS mode, ' 98 axes.set_xlim(self._trace.x_min, self._trace.x_max) 99 axes.set_yticklabels([]) 100 axes.set_xlabel('Time [s]') 101 axes.grid(True) 108 axes.axvspan(start, end, facecolor='r', alpha=0.1)
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D | idle_analysis.py | 280 axes = fig.add_subplot(gs[idx]) 288 r_pct.T.plot.barh(ax=axes, stacked=True, figsize=(16, yrange)) 290 axes.legend(loc='lower center', ncol=7) 291 axes.set_xlim(0, 100) 293 r.plot.barh(ax=axes, color='g', 296 axes.set_xlim(0, 1.05*xmax) 297 axes.set_ylabel('Idle State') 298 axes.set_title(data.label) 300 axes.grid(True) 303 axes.set_xlabel('Residency [%]') [all …]
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D | residency_analysis.py | 226 fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(8,8)) 227 …patches, texts, autotexts = axes.pie(df.loc[cgroup], labels=df.columns, autopct='%.2f', colors=col… 228 axes.set(ylabel='', title=cgroup + ' per CPU percentage breakdown', aspect='equal') 230 axes.legend(bbox_to_anchor=(0, 0.5)) 246 fig, axes = plt.subplots(nrows=5, ncols=2, figsize=(12,30)) 248 for ax, col in zip(axes.flat, df.columns): 252 axes[0, 0].legend(bbox_to_anchor=(0, 0.5))
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D | functions_analysis.py | 75 axes = data.plot(kind='bar', 78 axes.set_ylabel(ylabel) 79 axes.get_xaxis().set_visible(False)
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/external/guava/guava/src/com/google/common/collect/ |
D | CartesianList.java | 37 private transient final ImmutableList<List<E>> axes; field in CartesianList 53 CartesianList(ImmutableList<List<E>> axes) { in CartesianList() argument 54 this.axes = axes; in CartesianList() 55 int[] axesSizeProduct = new int[axes.size() + 1]; in CartesianList() 56 axesSizeProduct[axes.size()] = 1; in CartesianList() 58 for (int i = axes.size() - 1; i >= 0; i--) { in CartesianList() 60 IntMath.checkedMultiply(axesSizeProduct[i + 1], axes.get(i).size()); in CartesianList() 70 return (index / axesSizeProduct[axis + 1]) % axes.get(axis).size(); in getAxisIndexForProductIndex() 80 return axes.size(); in get() 87 return axes.get(axis).get(axisIndex); in get() [all …]
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D | Sets.java | 1120 private transient final ImmutableList<ImmutableSet<E>> axes; 1133 final ImmutableList<ImmutableSet<E>> axes = axesBuilder.build(); 1138 return axes.size(); 1143 return axes.get(index).asList(); 1151 return new CartesianSet<E>(axes, new CartesianList<E>(listAxes)); 1155 ImmutableList<ImmutableSet<E>> axes, CartesianList<E> delegate) { 1156 this.axes = axes; 1170 return this.axes.equals(that.axes); 1182 for (int i = 0; i < axes.size(); i++) { 1188 for (Set<E> axis : axes) {
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/external/lisa/libs/utils/ |
D | perf_analysis.py | 157 axes = plt.subplot(gs[0,0]); 158 axes.set_title('Task [{0:s}] (start) Latency and (completion) Slack'\ 161 data.plot(ax=axes, drawstyle='steps-post', style=['r', 'g']); 163 axes.xaxis.set_visible(False); 165 axes = plt.subplot(gs[1,0]); 166 axes.set_title('Task [{0:s}] Performance Index'.format(task)); 168 data.plot(ax=axes, drawstyle='steps-post'); 169 axes.set_ylim(0, 2); 172 axes = plt.subplot(gs[0:2,1]); 174 data.hist(bins=30, ax=axes, alpha=0.4); [all …]
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/external/apache-xml/src/main/java/org/apache/xpath/functions/ |
D | FuncCurrent.java | 26 import org.apache.xpath.axes.LocPathIterator; 27 import org.apache.xpath.axes.PredicatedNodeTest; 30 import org.apache.xpath.axes.SubContextList;
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/external/guava/guava-gwt/src-super/com/google/common/collect/super/com/google/common/collect/ |
D | Sets.java | 961 private transient final ImmutableList<ImmutableSet<E>> axes; 974 final ImmutableList<ImmutableSet<E>> axes = axesBuilder.build(); 979 return axes.size(); 984 return axes.get(index).asList(); 992 return new CartesianSet<E>(axes, new CartesianList<E>(listAxes)); 996 ImmutableList<ImmutableSet<E>> axes, CartesianList<E> delegate) { 997 this.axes = axes; 1011 return this.axes.equals(that.axes); 1023 for (int i = 0; i < axes.size(); i++) { 1029 for (Set<E> axis : axes) {
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/external/skia/include/core/ |
D | SkFontArguments.h | 43 SkFontArguments& setAxes(const Axis* axes, int axisCount) { in setAxes() 45 reinterpret_cast<const VariationPosition::Coordinate*>(axes); in setAxes()
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/external/apache-xml/src/main/java/org/apache/xpath/ |
D | XPathVisitor.java | 23 import org.apache.xpath.axes.LocPathIterator; 24 import org.apache.xpath.axes.UnionPathIterator;
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/external/harfbuzz_ng/src/ |
D | hb-ot-var-fvar-table.hh | 148 const AxisRecord *axes = get_axes (); in find_axis() local 151 if (axes[i].axisTag == tag) in find_axis()
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/external/apache-xml/src/main/java/org/apache/xpath/axes/ |
D | PathComponent.java | 21 package org.apache.xpath.axes;
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D | SubContextList.java | 21 package org.apache.xpath.axes;
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D | RTFIterator.java | 28 package org.apache.xpath.axes;
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D | ContextNodeList.java | 21 package org.apache.xpath.axes;
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D | AttributeIterator.java | 21 package org.apache.xpath.axes;
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/external/apache-xml/src/main/java/org/apache/xalan/templates/ |
D | RedundentExprEliminator.java | 33 import org.apache.xpath.axes.AxesWalker; 34 import org.apache.xpath.axes.FilterExprIteratorSimple; 35 import org.apache.xpath.axes.FilterExprWalker; 36 import org.apache.xpath.axes.LocPathIterator; 37 import org.apache.xpath.axes.SelfIteratorNoPredicate; 38 import org.apache.xpath.axes.WalkerFactory; 39 import org.apache.xpath.axes.WalkingIterator;
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D | AbsPathChecker.java | 25 import org.apache.xpath.axes.LocPathIterator;
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/external/apache-xml/src/main/java/org/apache/xpath/operations/ |
D | Variable.java | 32 import org.apache.xpath.axes.PathComponent; 33 import org.apache.xpath.axes.WalkerFactory;
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