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How to use meta method in wpt

Best JavaScript code snippet using wpt

getTheme.mjs

Source:getTheme.mjs

1export default colors => ({2  $schema: 'vscode://schemas/color-theme',3  name: 'Lucy Theme',4  type: 'dark',5  colors: {6    focusBorder: colors.dim2,7    foreground: colors.pure2,8    'widget.shadow': colors.background1,9    'selection.background': colors.background4,10    descriptionForeground: colors.dim3,11    errorForeground: colors.base1,12    'textBlockQuote.background': colors.background4,13    'textBlockQuote.border': colors.background4,14    'textCodeBlock.background': colors.background4,15    'textLink.activeForeground': colors.pure2,16    'textLink.foreground': colors.base2,17    'textPreformat.foreground': colors.pure2,18    'textSeparator.foreground': colors.dim2,19    'button.background': colors.background4,20    'button.foreground': colors.dim3,21    'button.hoverBackground': colors.background3,22    'dropdown.background': colors.background3,23    'dropdown.listBackground': colors.background4,24    'dropdown.border': colors.background3,25    'dropdown.foreground': colors.dim3,26    'input.background': colors.background4,27    'input.border': colors.background4,28    'input.foreground': colors.pure2,29    'input.placeholderForeground': colors.dim1,30    'inputOption.activeBorder': colors.dim1,31    'inputValidation.errorBackground': colors.background4,32    'inputValidation.errorBorder': colors.base1,33    'inputValidation.infoBackground': colors.background4,34    'inputValidation.infoBorder': colors.accent1,35    'inputValidation.warningBackground': colors.background4,36    'inputValidation.warningBorder': colors.accent2,37    'scrollbar.shadow': colors.background3,38    'scrollbarSlider.activeBackground': colors.translucent9,39    'scrollbarSlider.background': colors.translucent9,40    'scrollbarSlider.hoverBackground': colors.translucent9,41    'badge.foreground': colors.background3,42    'badge.background': colors.base2,43    'progressBar.background': colors.background4,44    'list.activeSelectionBackground': colors.background3,45    'list.activeSelectionForeground': colors.base2,46    'list.errorForeground': colors.base1,47    'list.warningForeground': colors.accent2,48    'list.dropBackground': colors.translucent,49    'list.focusBackground': colors.background3,50    'list.focusForeground': colors.pure2,51    'list.highlightForeground': colors.pure2,52    'list.hoverBackground': colors.background2,53    'list.hoverForeground': colors.pure2,54    'list.inactiveSelectionBackground': colors.background3,55    'list.inactiveSelectionForeground': colors.base2,56    'list.inactiveFocusBackground': colors.base2,57    'list.invalidItemForeground': colors.base1,58    'activityBar.background': colors.background1,59    'activityBar.dropBackground': colors.translucent,60    'activityBar.foreground': colors.dim3,61    'activityBar.border': colors.background1,62    'activityBarBadge.background': colors.base2,63    'activityBarBadge.foreground': colors.background3,64    'sideBar.background': colors.background2,65    'sideBar.foreground': colors.dim3,66    'sideBar.border': colors.background1,67    'sideBar.dropBackground': colors.translucent,68    'sideBarTitle.foreground': colors.dim1,69    'sideBarSectionHeader.background': colors.background2,70    'sideBarSectionHeader.foreground': colors.dim2,71    'editorGroup.background': colors.background1,72    'editorGroup.border': colors.background2,73    'editorGroup.dropBackground': colors.translucent,74    'editorGroupHeader.noTabsBackground': colors.background3,75    'editorGroupHeader.tabsBackground': colors.background3,76    'editorGroupHeader.tabsBorder': colors.background3,77    'tab.activeBackground': colors.background3,78    'tab.activeForeground': colors.base2,79    'tab.border': colors.background3,80    'tab.activeBorder': colors.base2,81    'tab.unfocusedActiveBorder': colors.dim3,82    'tab.inactiveBackground': colors.background3,83    'tab.inactiveForeground': colors.dim3,84    'tab.unfocusedActiveForeground': colors.dim4,85    'tab.unfocusedInactiveForeground': colors.dim3,86    'tab.hoverBackground': colors.background3,87    'tab.unfocusedHoverBackground': colors.background3,88    'tab.hoverBorder': colors.dim1,89    'tab.unfocusedHoverBorder': colors.background3,90    'editor.background': colors.background3,91    'editor.foreground': colors.pure2,92    'editorLineNumber.foreground': colors.dim1,93    'editorLineNumber.activeForeground': colors.dim4,94    'editorCursor.background': colors.translucent8,95    'editorCursor.foreground': colors.pure2,96    'editor.selectionBackground': colors.background4,97    'editor.inactiveSelectionBackground': colors.translucent3,98    'editor.selectionHighlightBackground': colors.translucent2,99    'editor.selectionHighlightBorder': colors.translucent8,100    'editor.wordHighlightBackground': colors.translucent2,101    'editor.wordHighlightBorder': colors.translucent8,102    'editor.wordHighlightStrongBackground': colors.translucent2,103    'editor.wordHighlightStrongBorder': colors.translucent8,104    'editor.findMatchBackground': colors.translucent2,105    'editor.findMatchBorder': colors.base2,106    'editor.findMatchHighlightBackground': colors.translucent2,107    'editor.findMatchHighlightBorder': colors.translucent8,108    'editor.findRangeHighlightBackground': colors.translucent3,109    'editor.findRangeHighlightBorder': colors.translucent8,110    'editor.hoverHighlightBackground': colors.translucent3,111    'editor.lineHighlightBackground': colors.translucent3,112    'editor.lineHighlightBorder': colors.translucent8,113    'editorLink.activeForeground': colors.accent1,114    'editor.rangeHighlightBackground': colors.background4,115    'editor.rangeHighlightBorder': colors.background4,116    'editorWhitespace.foreground': colors.dim1,117    'editorIndentGuide.background': colors.background4,118    'editorRuler.foreground': colors.dim1,119    'editorCodeLens.foreground': colors.dim2,120    'editorBracketMatch.background': colors.background3,121    'editorBracketMatch.border': colors.dim2,122    'editorError.foreground': colors.base1,123    'editorError.border': colors.translucent8,124    'editorWarning.foreground': colors.accent2,125    'editorWarning.border': colors.translucent8,126    'editorInfo.foreground': colors.accent1,127    'editorInfo.border': colors.background3,128    'editorHint.foreground': colors.const,129    'editorHint.border': colors.background3,130    'editorGutter.background': colors.background3,131    'editorGutter.modifiedBackground': colors.accent2,132    'editorGutter.addedBackground': colors.call,133    'editorGutter.deletedBackground': colors.base1,134    'diffEditor.insertedTextBackground': colors.translucent4,135    'diffEditor.insertedTextBorder': colors.translucent8,136    'diffEditor.removedTextBackground': colors.translucent6,137    'diffEditor.removedTextBorder': colors.translucent8,138    'editorWidget.background': colors.background4,139    'editorWidget.border': colors.background4,140    'editorSuggestWidget.background': colors.background4,141    'editorSuggestWidget.border': colors.background4,142    'editorSuggestWidget.foreground': colors.dim4,143    'editorSuggestWidget.highlightForeground': colors.pure2,144    'editorSuggestWidget.selectedBackground': colors.dim2,145    'editorHoverWidget.background': colors.background4,146    'editorHoverWidget.border': colors.background3,147    'debugExceptionWidget.background': colors.background4,148    'debugExceptionWidget.border': colors.background3,149    'editorMarkerNavigation.background': colors.background4,150    'editorMarkerNavigationError.background': colors.base1,151    'editorMarkerNavigationWarning.background': colors.accent2,152    'editorMarkerNavigationInfo.background': colors.accent1,153    'peekView.border': colors.background3,154    'peekViewEditor.background': colors.background4,155    'peekViewEditorGutter.background': colors.background4,156    'peekViewEditor.matchHighlightBackground': colors.dim1,157    'peekViewResult.background': colors.background4,158    'peekViewResult.fileForeground': colors.dim3,159    'peekViewResult.lineForeground': colors.dim3,160    'peekViewResult.matchHighlightBackground': colors.dim1,161    'peekViewResult.selectionBackground': colors.background4,162    'peekViewResult.selectionForeground': colors.pure2,163    'peekViewTitle.background': colors.background4,164    'peekViewTitleDescription.foreground': colors.dim3,165    'peekViewTitleLabel.foreground': colors.pure2,166    'merge.currentHeaderBackground': colors.translucent7,167    'merge.currentContentBackground': colors.translucent6,168    'merge.incomingHeaderBackground': colors.translucent5,169    'merge.incomingContentBackground': colors.translucent4,170    'merge.border': colors.background3,171    'merge.commonHeaderBackground': colors.translucent2,172    'merge.commonContentBackground': colors.translucent3,173    'editorOverviewRuler.border': colors.background3,174    'editorOverviewRuler.currentContentForeground': colors.background4,175    'editorOverviewRuler.incomingContentForeground': colors.background4,176    'editorOverviewRuler.findMatchForeground': colors.translucent2,177    'editorOverviewRuler.rangeHighlightForeground': colors.translucent2,178    'editorOverviewRuler.selectionHighlightForeground': colors.translucent2,179    'editorOverviewRuler.wordHighlightForeground': colors.translucent2,180    'editorOverviewRuler.wordHighlightStrongForeground': colors.translucent2,181    'editorOverviewRuler.modifiedForeground': colors.accent2,182    'editorOverviewRuler.addedForeground': colors.call,183    'editorOverviewRuler.deletedForeground': colors.base1,184    'editorOverviewRuler.errorForeground': colors.base1,185    'editorOverviewRuler.warningForeground': colors.accent2,186    'editorOverviewRuler.infoForeground': colors.accent1,187    'panel.background': colors.background4,188    'panel.border': colors.background3,189    'panel.dropBackground': colors.translucent,190    'panelTitle.activeBorder': colors.base2,191    'panelTitle.activeForeground': colors.base2,192    'panelTitle.inactiveForeground': colors.dim3,193    'statusBar.background': colors.background2,194    'statusBar.foreground': colors.dim2,195    'statusBar.border': colors.background1,196    'statusBar.debuggingBackground': colors.dim2,197    'statusBar.debuggingForeground': colors.pure2,198    'statusBar.debuggingBorder': colors.background2,199    'statusBar.noFolderBackground': colors.background2,200    'statusBar.noFolderForeground': colors.dim2,201    'statusBar.noFolderBorder': colors.background1,202    'statusBarItem.activeBackground': colors.background3,203    'statusBarItem.hoverBackground': colors.background3,204    'statusBarItem.prominentBackground': colors.background4,205    'statusBarItem.prominentHoverBackground': colors.background4,206    'titleBar.activeBackground': colors.background2,207    'titleBar.activeForeground': colors.dim3,208    'titleBar.inactiveBackground': colors.background2,209    'titleBar.inactiveForeground': colors.dim1,210    'titleBar.border': colors.background1,211    'notificationCenter.border': colors.background4,212    'notificationCenterHeader.foreground': colors.dim3,213    'notificationCenterHeader.background': colors.background4,214    'notificationToast.border': colors.background4,215    'notifications.foreground': colors.dim4,216    'notifications.background': colors.background4,217    'notifications.border': colors.background4,218    'notificationLink.foreground': colors.base2,219    'extensionButton.prominentForeground': colors.pure2,220    'extensionButton.prominentBackground': colors.background4,221    'extensionButton.prominentHoverBackground': colors.dim1,222    'pickerGroup.border': colors.background3,223    'pickerGroup.foreground': colors.dim1,224    'terminal.background': colors.background4,225    'terminal.foreground': colors.pure2,226    'terminal.ansiBlack': colors.background4,227    'terminal.ansiBlue': colors.accent2,228    'terminal.ansiBrightBlack': colors.dim2,229    'terminal.ansiBrightBlue': colors.accent2,230    'terminal.ansiBrightCyan': colors.accent1,231    'terminal.ansiBrightGreen': colors.call,232    'terminal.ansiBrightMagenta': colors.const,233    'terminal.ansiBrightRed': colors.base1,234    'terminal.ansiBrightWhite': colors.pure2,235    'terminal.ansiBrightYellow': colors.base2,236    'terminal.ansiCyan': colors.accent1,237    'terminal.ansiGreen': colors.call,238    'terminal.ansiMagenta': colors.const,239    'terminal.ansiRed': colors.base1,240    'terminal.ansiWhite': colors.pure2,241    'terminal.ansiYellow': colors.base2,242    'terminal.selectionBackground': colors.translucent2,243    'terminalCursor.background': colors.translucent8,244    'terminalCursor.foreground': colors.pure2,245    'debugToolBar.background': colors.background4,246    'welcomePage.buttonBackground': colors.background4,247    'welcomePage.buttonHoverBackground': colors.dim1,248    'walkThrough.embeddedEditorBackground': colors.background2,249    'gitDecoration.modifiedResourceForeground': colors.call,250    'gitDecoration.deletedResourceForeground': colors.base1,251    'gitDecoration.untrackedResourceForeground': colors.accent2,252    'gitDecoration.ignoredResourceForeground': colors.dim1,253    'gitDecoration.conflictingResourceForeground': colors.accent2254  },255  tokenColors: [256    {257      scope: [258        'comment',259        'comment keyword',260        'comment markup.underline.link',261        'comment string',262        'comment punctuation.definition',263        'comment punctuation',264        'comment text'265      ],266      settings: {267        fontStyle: 'italic',268        foreground: colors.dim2269      }270    },271    {272      scope: '\n\t\tcomment storage.type\n\t',273      settings: {274        foreground: colors.dim2275      }276    },277    {278      scope: '\n\t\tcomment entity.name.type\n\t',279      settings: {280        foreground: colors.dim4281      }282    },283    {284      scope: ['comment variable', 'comment variable.other'],285      settings: {286        foreground: colors.dim4287      }288    },289    {290      scope: '\n\t\tcomment keyword.codetag.notation\n\t',291      settings: {292        foreground: colors.const293      }294    },295    {296      scope: '\n\t\tcomment.git-status.header.remote\n\t',297      settings: {298        foreground: colors.base1299      }300    },301    {302      scope: '\n\t\tcomment.git-status.header.local\n\t',303      settings: {304        foreground: colors.accent1305      }306    },307    {308      scope: '\n\t\tcomment.other.git-status.head\n\t',309      settings: {310        foreground: colors.pure2311      }312    },313    {314      scope: 'constant',315      settings: {316        foreground: colors.const317      }318    },319    {320      scope: 'constant.other',321      settings: {322        foreground: colors.pure2323      }324    },325    {326      scope: 'constant.other.property',327      settings: {328        foreground: colors.const329      }330    },331    {332      scope: 'constant.other.color',333      settings: {334        foreground: colors.const335      }336    },337    {338      scope: 'constant.other.character-class.escape',339      settings: {340        foreground: colors.const341      }342    },343    {344      scope: 'constant.other.key',345      settings: {346        foreground: colors.const347      }348    },349    {350      scope: 'constant.other.symbol',351      settings: {352        foreground: colors.accent2353      }354    },355    {356      scope: 'constant.numeric',357      settings: {358        foreground: colors.const359      }360    },361    {362      scope: 'constant.language',363      settings: {364        foreground: colors.const365      }366    },367    {368      scope: 'constant.character.escape',369      settings: {370        foreground: colors.const371      }372    },373    {374      scope: 'constant.numeric.line-number.find-in-files',375      settings: {376        foreground: colors.dim1377      }378    },379    {380      scope: 'constant.numeric.line-number.match.find-in-files',381      settings: {382        foreground: colors.base2383      }384    },385    {386      scope: 'entity.name.section',387      settings: {388        foreground: colors.base2389      }390    },391    {392      scope: 'entity.name',393      settings: {394        foreground: colors.call395      }396    },397    {398      scope: 'entity.name.class',399      settings: {400        foreground: colors.accent1401      }402    },403    {404      scope: 'entity.name.constant',405      settings: {406        foreground: colors.const407      }408    },409    {410      scope: 'entity.name.namespace',411      settings: {412        foreground: colors.pure2413      }414    },415    {416      scope: 'entity.other.inherited-class',417      settings: {418        fontStyle: 'italic',419        foreground: colors.accent1420      }421    },422    {423      scope: 'entity.name.function',424      settings: {425        foreground: colors.call426      }427    },428    {429      scope: [430        'entity.name.tag',431        'entity.name.tag.js.jsx support.class.component.js.jsx'432      ],433      settings: {434        foreground: colors.base1435      }436    },437    {438      scope: 'entity.other.attribute-name',439      settings: {440        fontStyle: 'italic',441        foreground: colors.accent1442      }443    },444    {445      scope: [446        'entity.other.attribute-name.class.css',447        'entity.other.attribute-name.parent-selector-suffix.css',448        'entity.other.attribute-name.parent-selector-suffix.css punctuation.definition.entity.css'449      ],450      settings: {451        foreground: colors.call452      }453    },454    {455      scope: 'entity.other.attribute-name.id.css',456      settings: {457        foreground: colors.accent2458      }459    },460    {461      scope:462        '\n\t\tentity.other.attribute-name.pseudo-class.css\n\t\tentity.other.pseudo-class.css\n\t',463      settings: {464        fontStyle: 'italic',465        foreground: colors.accent1466      }467    },468    {469      scope: ['entity.name.function', 'support.function'],470      settings: {471        foreground: colors.call472      }473    },474    {475      scope: '\n\t\tentity.other.git-status.hex\n\t',476      settings: {477        foreground: colors.const478      }479    },480    {481      scope: 'invalid',482      settings: {483        fontStyle: 'italic'484      }485    },486    {487      scope: 'keyword',488      settings: {489        foreground: colors.base1490      }491    },492    {493      scope: 'keyword.control',494      settings: {495        foreground: colors.base1496      }497    },498    {499      scope: 'keyword.operator',500      settings: {501        foreground: colors.base1502      }503    },504    {505      scope: 'keyword.other.substitution',506      settings: {507        foreground: colors.dim3508      }509    },510    {511      scope:512        '\n\t\tkeyword.other.template.begin\n\t\tkeyword.other.template.end\n\t',513      settings: {514        foreground: colors.base1515      }516    },517    {518      scope: [519        'keyword.operator.heading.restructuredtext',520        'keyword.operator.table.row.restructuredtext',521        'keyword.operator.table.data.restructuredtext'522      ],523      settings: {524        foreground: colors.dim3525      }526    },527    {528      scope: 'markup.italic',529      settings: {530        fontStyle: 'italic'531      }532    },533    {534      scope: 'markup.bold',535      settings: {536        fontStyle: 'bold'537      }538    },539    {540      scope: 'markup.heading',541      settings: {542        foreground: colors.base2543      }544    },545    {546      scope: 'markup.raw',547      settings: {548        foreground: colors.accent2549      }550    },551    {552      scope: 'markup.underline',553      settings: {554        fontStyle: 'underline'555      }556    },557    {558      scope: 'markup.underline.link',559      settings: {560        foreground: colors.call561      }562    },563    {564      scope: [565        'markup.inserted',566        'markup.inserted punctuation.definition.inserted'567      ],568      settings: {569        foreground: colors.call570      }571    },572    {573      scope: [574        'markup.deleted',575        'markup.deleted punctuation.definition.deleted'576      ],577      settings: {578        foreground: colors.base1579      }580    },581    {582      scope: [583        'markup.changed',584        'markup.changed punctuation.definition.changed'585      ],586      settings: {587        foreground: colors.base1588      }589    },590    {591      scope: [592        'markup.ignored',593        'markup.ignored punctuation.definition.ignored'594      ],595      settings: {596        foreground: colors.dim3597      }598    },599    {600      scope: 'markup.untracked',601      settings: {602        foreground: colors.dim3603      }604    },605    {606      scope: 'markup.quote',607      settings: {608        fontStyle: 'italic'609      }610    },611    {612      scope: [613        'meta.brace.round',614        'meta.brace.square',615        'meta.brace.curly',616        'meta.delimiter.comma.js',617        'meta.function-call.without-arguments.js',618        'meta.function-call.method.without-arguments.js'619      ],620      settings: {621        foreground: colors.dim3622      }623    },624    {625      scope: [626        'meta.function-call',627        'meta.function-call.arguments meta.function-call'628      ],629      settings: {630        foreground: colors.call631      }632    },633    {634      scope: [635        'meta.function-call meta.function-call.arguments',636        'meta.function-call meta.arguments',637        'meta.function-call meta.group'638      ],639      settings: {640        foreground: colors.pure2641      }642    },643    {644      scope: 'meta.instance.constructor',645      settings: {646        foreground: colors.call647      }648    },649    {650      scope: 'meta.attribute-with-value.class string',651      settings: {652        foreground: colors.call653      }654    },655    {656      scope: 'meta.attribute-with-value.id string',657      settings: {658        foreground: colors.accent2659      }660    },661    {662      scope: [663        'source.json meta.structure.dictionary',664        'source.json meta.structure.dictionary meta.structure.dictionary.value meta.structure.dictionary',665        'source.json meta.structure.dictionary meta.structure.dictionary.value meta.structure.dictionary meta.structure.dictionary.value meta.structure.dictionary',666        'source.json meta.structure.dictionary meta.structure.dictionary.value 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meta_graph_test.py

Source:meta_graph_test.py

1# Copyright 2016 The TensorFlow Authors. All Rights Reserved.2#3# Licensed under the Apache License, Version 2.0 (the "License");4# you may not use this file except in compliance with the License.5# You may obtain a copy of the License at6#7#     http://www.apache.org/licenses/LICENSE-2.08#9# Unless required by applicable law or agreed to in writing, software10# distributed under the License is distributed on an "AS IS" BASIS,11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.12# See the License for the specific language governing permissions and13# limitations under the License.14# =============================================================================15"""Tests for tensorflow.python.framework.meta_graph.py."""16from __future__ import absolute_import17from __future__ import division18from __future__ import print_function19import math20import os.path21import random22import shutil23import tensorflow as tf24from tensorflow.core.framework import graph_pb225from tensorflow.python.framework import function26from tensorflow.python.framework import meta_graph27from tensorflow.python.ops import control_flow_ops28from tensorflow.python.platform import gfile29# pylint: disable=invalid-name30def _TestDir(test_name):31  test_dir = os.path.join(tf.test.get_temp_dir(), test_name)32  if os.path.exists(test_dir):33    shutil.rmtree(test_dir)34  gfile.MakeDirs(test_dir)35  return test_dir36# pylint: enable=invalid-name37class SimpleMetaGraphTest(tf.test.TestCase):38  def testNoVariables(self):39    test_dir = _TestDir("no_variables")40    filename = os.path.join(test_dir, "metafile")41    input_feed_value = -10  # Arbitrary input value for feed_dict.42    orig_graph = tf.Graph()43    with self.test_session(graph=orig_graph) as sess:44      # Create a minimal graph with zero variables.45      input_tensor = tf.placeholder(tf.float32, shape=[], name="input")46      offset = tf.constant(42, dtype=tf.float32, name="offset")47      output_tensor = tf.add(input_tensor, offset, name="add_offset")48      # Add input and output tensors to graph collections.49      tf.add_to_collection("input_tensor", input_tensor)50      tf.add_to_collection("output_tensor", output_tensor)51      output_value = sess.run(output_tensor, {input_tensor: input_feed_value})52      self.assertEqual(output_value, 32)53      # Generates MetaGraphDef.54      meta_graph_def, var_list = meta_graph.export_scoped_meta_graph(55          filename=filename,56          graph_def=tf.get_default_graph().as_graph_def(add_shapes=True),57          collection_list=["input_tensor", "output_tensor"],58          saver_def=None)59      self.assertEqual({}, var_list)60    # Create a clean graph and import the MetaGraphDef nodes.61    new_graph = tf.Graph()62    with self.test_session(graph=new_graph) as sess:63      # Import the previously export meta graph.64      meta_graph.import_scoped_meta_graph(filename)65      # Re-exports the current graph state for comparison to the original.66      new_meta_graph_def, _ = meta_graph.export_scoped_meta_graph(67          filename + "_new")68      self.assertProtoEquals(meta_graph_def, new_meta_graph_def)69      # Ensures that we can still get a reference to our graph collections.70      new_input_tensor = tf.get_collection("input_tensor")[0]71      new_output_tensor = tf.get_collection("output_tensor")[0]72      # Verifies that the new graph computes the same result as the original.73      new_output_value = sess.run(74          new_output_tensor, {new_input_tensor: input_feed_value})75      self.assertEqual(new_output_value, output_value)76  def testStrippedOpListNestedFunctions(self):77    with self.test_session():78      # Square two levels deep79      @function.Defun(tf.int32)80      def f0(x):81        return tf.square(x)82      @function.Defun(tf.int32)83      def f1(x):84        return f0(x)85      # At this point we've defined two functions but haven't called them, so86      # there should be no used ops.87      op_list = tf.contrib.util.stripped_op_list_for_graph(88          tf.get_default_graph().as_graph_def())89      self.assertEqual(len(op_list.op), 0)90      # If we call the function on a constant, there should be two ops91      _ = f1(tf.constant(7))92      op_list = tf.contrib.util.stripped_op_list_for_graph(93          tf.get_default_graph().as_graph_def())94      self.assertEqual(["Const", "Square"], [op.name for op in op_list.op])95  def testStrippedOpListRecursiveFunctions(self):96    # The function module doesn't support recursive functions, so we build a97    # recursive function situation by ourselves: A calls B calls A and Const.98    graph = graph_pb2.GraphDef()99    a = graph.library.function.add()100    b = graph.library.function.add()101    a.signature.name = "A"102    b.signature.name = "B"103    a.node.add().op = "B"104    b.node.add().op = "Const"105    b.node.add().op = "A"106    # Use A in the graph107    graph.node.add().op = "A"108    # The stripped op list should contain just Const.109    op_list = tf.contrib.util.stripped_op_list_for_graph(graph)110    self.assertEqual(["Const"], [op.name for op in op_list.op])111class ScopedMetaGraphTest(tf.test.TestCase):112  def _testScopedExport(self, test_dir, exported_filenames):113    graph = tf.Graph()114    with graph.as_default():115      # Creates an inference graph.116      # Hidden 1117      colocate_constraint = tf.constant(1.2, name="constraint")118      images = tf.constant(1.2, tf.float32, shape=[100, 28], name="images")119      with tf.name_scope("hidden1"):120        with graph.colocate_with(colocate_constraint.op):121          weights1 = tf.Variable(122              tf.truncated_normal([28, 128],123                                  stddev=1.0 / math.sqrt(float(28))),124              name="weights")125        # The use of control_flow_ops.cond here is purely for adding test126        # coverage the save and restore of control flow context (which doesn't127        # make any sense here from a machine learning perspective).  The typical128        # biases is a simple Variable without the conditions.129        biases1 = tf.Variable(130            control_flow_ops.cond(tf.less(random.random(), 0.5),131                                  lambda: tf.ones([128]),132                                  lambda: tf.zeros([128])),133            name="biases")134        hidden1 = tf.nn.relu(tf.matmul(images, weights1) + biases1)135      # Hidden 2136      with tf.name_scope("hidden2"):137        weights2 = tf.Variable(138            tf.truncated_normal([128, 32],139                                stddev=1.0 / math.sqrt(float(128))),140            name="weights")141        # The use of control_flow_ops.while_loop here is purely for adding test142        # coverage the save and restore of control flow context (which doesn't143        # make any sense here from a machine learning perspective).  The typical144        # biases is a simple Variable without the conditions.145        def loop_cond(it, _):146          return it < 2147        def loop_body(it, biases2):148          biases2 += tf.constant(0.1, shape=[32])149          return it + 1, biases2150        _, biases2 = control_flow_ops.while_loop(151            loop_cond, loop_body,152            [tf.constant(0), tf.Variable(tf.zeros([32]), name="biases")])153        hidden2 = tf.nn.relu(tf.matmul(hidden1, weights2) + biases2)154      # Linear155      with tf.name_scope("softmax_linear"):156        weights3 = tf.Variable(157            tf.truncated_normal([32, 10],158                                stddev=1.0 / math.sqrt(float(32))),159            name="weights")160        biases3 = tf.Variable(tf.zeros([10]), name="biases")161        logits = tf.matmul(hidden2, weights3) + biases3162        tf.add_to_collection("logits", logits)163      # Exports each sub-graph.164      # Exports the first one with unbound_inputs_col_name set to default.165      orig_meta_graph1, var_list = meta_graph.export_scoped_meta_graph(166          filename=os.path.join(test_dir, exported_filenames[0]),167          graph=tf.get_default_graph(), export_scope="hidden1")168      self.assertEqual(["biases:0", "weights:0"], sorted(var_list.keys()))169      var_names = [v.name for _, v in var_list.items()]170      self.assertEqual(["hidden1/biases:0", "hidden1/weights:0"],171                       sorted(var_names))172      # Exports the rest with no unbound_inputs_col_name.173      orig_meta_graph2, _ = meta_graph.export_scoped_meta_graph(174          filename=os.path.join(test_dir, exported_filenames[1]),175          graph=tf.get_default_graph(), export_scope="hidden2",176          unbound_inputs_col_name=None)177      orig_meta_graph3, _ = meta_graph.export_scoped_meta_graph(178          filename=os.path.join(test_dir, exported_filenames[2]),179          graph=tf.get_default_graph(), export_scope="softmax_linear",180          unbound_inputs_col_name=None)181    return [orig_meta_graph1, orig_meta_graph2, orig_meta_graph3]182  def _testScopedImport(self, test_dir, exported_filenames):183    graph = tf.Graph()184    # Create all the missing inputs.185    with graph.as_default():186      new_image = tf.constant(1.2, tf.float32, shape=[100, 28],187                              name="images")188    with self.assertRaisesRegexp(ValueError, "Graph contains unbound inputs"):189      meta_graph.import_scoped_meta_graph(190          os.path.join(test_dir, exported_filenames[0]), graph=graph,191          import_scope="new_hidden1")192    with self.assertRaisesRegexp(ValueError, "Graph contains unbound inputs"):193      meta_graph.import_scoped_meta_graph(194          os.path.join(test_dir, exported_filenames[0]), graph=graph,195          input_map={"image:0": new_image},196          import_scope="new_hidden1")197    # Verifies we can import the original "hidden1" into "new_hidden1".198    var_list = meta_graph.import_scoped_meta_graph(199        os.path.join(test_dir, exported_filenames[0]), graph=graph,200        input_map={"$unbound_inputs_images": new_image},201        import_scope="new_hidden1")202    self.assertEqual(["biases:0", "weights:0"], sorted(var_list.keys()))203    new_var_names = [v.name for _, v in var_list.items()]204    self.assertEqual(["new_hidden1/biases:0", "new_hidden1/weights:0"],205                     sorted(new_var_names))206    # Verifies we can import the original "hidden2" into "new_hidden2".207    hidden1 = tf.identity(graph.as_graph_element("new_hidden1/Relu:0"),208                          name="hidden1/Relu")209    var_list = meta_graph.import_scoped_meta_graph(210        os.path.join(test_dir, exported_filenames[1]), graph=graph,211        input_map={"$unbound_inputs_hidden1/Relu": hidden1},212        import_scope="new_hidden2", unbound_inputs_col_name=None)213    self.assertEqual(["biases:0", "weights:0"], sorted(var_list.keys()))214    new_var_names = [v.name for _, v in var_list.items()]215    self.assertEqual(["new_hidden2/biases:0", "new_hidden2/weights:0"],216                     sorted(new_var_names))217    # Verifies we can import the original "softmax_linear" into218    # "new_softmax_linear".219    hidden2 = tf.identity(graph.as_graph_element("new_hidden2/Relu:0"),220                          name="hidden2/Relu")221    var_list = meta_graph.import_scoped_meta_graph(222        os.path.join(test_dir, exported_filenames[2]), graph=graph,223        input_map={"$unbound_inputs_hidden2/Relu": hidden2},224        import_scope="new_softmax_linear", unbound_inputs_col_name=None)225    self.assertEqual(["biases:0", "weights:0"], sorted(var_list.keys()))226    new_var_names = [v.name for _, v in var_list.items()]227    self.assertEqual(["new_softmax_linear/biases:0",228                      "new_softmax_linear/weights:0"],229                     sorted(new_var_names))230    # Exports the scoped meta graphs again.231    new_meta_graph1, var_list = meta_graph.export_scoped_meta_graph(232        graph=graph, export_scope="new_hidden1")233    self.assertEqual(["biases:0", "weights:0"], sorted(var_list.keys()))234    new_meta_graph2, var_list = meta_graph.export_scoped_meta_graph(235        graph=graph, export_scope="new_hidden2",236        unbound_inputs_col_name=None)237    self.assertEqual(["biases:0", "weights:0"], sorted(var_list.keys()))238    new_meta_graph3, var_list = meta_graph.export_scoped_meta_graph(239        graph=graph, export_scope="new_softmax_linear",240        unbound_inputs_col_name=None)241    self.assertEqual(["biases:0", "weights:0"], sorted(var_list.keys()))242    return [new_meta_graph1, new_meta_graph2, new_meta_graph3]243  # Verifies that we can export the subgraph under each layer and import244  # them into new layers in a new graph.245  def testScopedExportAndImport(self):246    test_dir = _TestDir("scoped_export_import")247    filenames = ["exported_hidden1.pbtxt", "exported_hidden2.pbtxt",248                 "exported_softmax_linear.pbtxt"]249    orig_meta_graphs = self._testScopedExport(test_dir, filenames)250    new_meta_graphs = self._testScopedImport(test_dir, filenames)251    # Delete the unbound_inputs to allow directly calling ProtoEqual.252    del orig_meta_graphs[0].collection_def["unbound_inputs"]253    del new_meta_graphs[0].collection_def["unbound_inputs"]254    for a, b in zip(orig_meta_graphs, new_meta_graphs):255      self.assertProtoEquals(a, b)256  def _testScopedExportWithQueue(self, test_dir, exported_filename):257    graph = tf.Graph()258    with graph.as_default():259      with tf.name_scope("queue1"):260        input_queue = tf.FIFOQueue(10, tf.float32)261        enqueue = input_queue.enqueue((9876), name="enqueue")262        close = input_queue.close(name="close")263        qr = tf.train.QueueRunner(input_queue, [enqueue], close)264        tf.train.add_queue_runner(qr)265        input_queue.dequeue(name="dequeue")266      orig_meta_graph, _ = meta_graph.export_scoped_meta_graph(267          filename=os.path.join(test_dir, exported_filename),268          graph=tf.get_default_graph(), export_scope="queue1")269    return orig_meta_graph270  def _testScopedImportWithQueue(self, test_dir, exported_filename,271                                 new_exported_filename):272    graph = tf.Graph()273    meta_graph.import_scoped_meta_graph(274        os.path.join(test_dir, exported_filename),275        graph=graph,276        import_scope="new_queue1")277    graph.as_graph_element("new_queue1/dequeue:0")278    graph.as_graph_element("new_queue1/close")279    with graph.as_default():280      new_meta_graph, _ = meta_graph.export_scoped_meta_graph(281          filename=os.path.join(test_dir, new_exported_filename),282          graph=graph, export_scope="new_queue1")283    return new_meta_graph284  # Verifies that we can export the subgraph containing a FIFOQueue under285  # "queue1" and import it into "new_queue1" in a new graph.286  def testScopedWithQueue(self):287    test_dir = _TestDir("scoped_with_queue")288    orig_meta_graph = self._testScopedExportWithQueue(289        test_dir, "exported_queue1.pbtxt")290    new_meta_graph = self._testScopedImportWithQueue(291        test_dir, "exported_queue1.pbtxt", "exported_new_queue1.pbtxt")292    self.assertProtoEquals(orig_meta_graph, new_meta_graph)293  # Verifies that we can export a subgraph in a nested name scope containing a294  # "hidden1/hidden2" and import it into "new_hidden1/new_hidden2" in a new295  # graph.296  def testExportNestedNames(self):297    graph1 = tf.Graph()298    with graph1.as_default():299      with tf.name_scope("hidden1/hidden2/hidden3"):300        images = tf.constant(1.0, tf.float32, shape=[3, 2], name="images")301        weights1 = tf.Variable([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]],302                               name="weights")303        biases1 = tf.Variable([0.1] * 3, name="biases")304        tf.nn.relu(tf.matmul(images, weights1) + biases1, name="relu")305    orig_meta_graph, var_list = meta_graph.export_scoped_meta_graph(306        export_scope="hidden1/hidden2", graph=graph1)307    var_names = [v.name for _, v in var_list.items()]308    self.assertEqual(["hidden3/biases:0", "hidden3/weights:0"],309                     sorted(var_list.keys()))310    self.assertEqual(["hidden1/hidden2/hidden3/biases:0",311                      "hidden1/hidden2/hidden3/weights:0"],312                     sorted(var_names))313    for node in orig_meta_graph.graph_def.node:314      self.assertTrue(node.name.startswith("hidden3"))315    graph2 = tf.Graph()316    new_var_list = meta_graph.import_scoped_meta_graph(317        orig_meta_graph, import_scope="new_hidden1/new_hidden2",318        graph=graph2)319    self.assertEqual(["hidden3/biases:0", "hidden3/weights:0"],320                     sorted(new_var_list.keys()))321    new_var_names = [v.name for _, v in new_var_list.items()]322    self.assertEqual(["new_hidden1/new_hidden2/hidden3/biases:0",323                      "new_hidden1/new_hidden2/hidden3/weights:0"],324                     sorted(new_var_names))325    nodes = ["new_hidden1/new_hidden2/hidden3/biases/Assign",326             "new_hidden1/new_hidden2/hidden3/weights/Assign"]327    expected = [b"loc:@new_hidden1/new_hidden2/hidden3/biases",328                b"loc:@new_hidden1/new_hidden2/hidden3/weights"]329    for n, e in zip(nodes, expected):330      self.assertEqual([e], graph2.get_operation_by_name(n).get_attr("_class"))331  def testPotentialCycle(self):332    graph1 = tf.Graph()333    with graph1.as_default():334      a = tf.constant(1.0, shape=[2, 2])335      b = tf.constant(2.0, shape=[2, 2])336      matmul = tf.matmul(a, b)337      with tf.name_scope("hidden1"):338        c = tf.nn.relu(matmul)339        d = tf.constant(3.0, shape=[2, 2])340        matmul = tf.matmul(c, d)341    orig_meta_graph, _ = meta_graph.export_scoped_meta_graph(342        export_scope="hidden1", graph=graph1)343    graph2 = tf.Graph()344    with graph2.as_default():345      with self.assertRaisesRegexp(ValueError, "Graph contains unbound inputs"):346        meta_graph.import_scoped_meta_graph(347            orig_meta_graph, import_scope="new_hidden1")348      meta_graph.import_scoped_meta_graph(349          orig_meta_graph, import_scope="new_hidden1",350          input_map={"$unbound_inputs_MatMul": tf.constant(4.0, shape=[2, 2])})351  def testClearDevices(self):352    graph1 = tf.Graph()353    with graph1.as_default():354      with tf.device("/device:CPU:0"):355        a = tf.Variable(tf.constant(1.0, shape=[2, 2]), name="a")356      with tf.device("/job:ps/replica:0/task:0/gpu:0"):357        b = tf.Variable(tf.constant(2.0, shape=[2, 2]), name="b")358      with tf.device("/job:localhost/replica:0/task:0/cpu:0"):359        tf.matmul(a, b, name="matmul")360    self.assertEqual("/device:CPU:0", str(graph1.as_graph_element("a").device))361    self.assertEqual("/job:ps/replica:0/task:0/device:GPU:0",362                     str(graph1.as_graph_element("b").device))363    self.assertEqual("/job:localhost/replica:0/task:0/device:CPU:0",364                     str(graph1.as_graph_element("matmul").device))365    # Verifies that devices are cleared on export.366    orig_meta_graph, _ = meta_graph.export_scoped_meta_graph(367        graph=graph1, clear_devices=True)368    graph2 = tf.Graph()369    with graph2.as_default():370      meta_graph.import_scoped_meta_graph(orig_meta_graph, clear_devices=False)371    self.assertEqual("", str(graph2.as_graph_element("a").device))372    self.assertEqual("", str(graph2.as_graph_element("b").device))373    self.assertEqual("", str(graph2.as_graph_element("matmul").device))374    # Verifies that devices are cleared on export when passing in graph_def.375    orig_meta_graph, _ = meta_graph.export_scoped_meta_graph(376        graph_def=graph1.as_graph_def(), clear_devices=True)377    graph2 = tf.Graph()378    with graph2.as_default():379      meta_graph.import_scoped_meta_graph(orig_meta_graph, clear_devices=False)380    self.assertEqual("", str(graph2.as_graph_element("a").device))381    self.assertEqual("", str(graph2.as_graph_element("b").device))382    self.assertEqual("", str(graph2.as_graph_element("matmul").device))383    # Verifies that devices are cleared on import.384    orig_meta_graph, _ = meta_graph.export_scoped_meta_graph(385        graph=graph1, clear_devices=False)386    graph2 = tf.Graph()387    with graph2.as_default():388      meta_graph.import_scoped_meta_graph(orig_meta_graph, clear_devices=True)389    self.assertEqual("", str(graph2.as_graph_element("a").device))390    self.assertEqual("", str(graph2.as_graph_element("b").device))391    self.assertEqual("", str(graph2.as_graph_element("matmul").device))392if __name__ == "__main__":...

ghost_head.js

Source:ghost_head.js

1// # Ghost Head Helper2// Usage: `{{ghost_head}}`3//4// Outputs scripts and other assets at the top of a Ghost theme5//6// We use the name ghost_head to match the helper for consistency:7// jscs:disable requireCamelCaseOrUpperCaseIdentifiers8var hbs             = require('express-hbs'),9    moment          = require('moment'),10    _               = require('lodash'),11    Promise         = require('bluebird'),12    config          = require('../config'),13    filters         = require('../filters'),14    api                 = require('../api'),15    urlHelper           = require('./url'),16    meta_description    = require('./meta_description'),17    meta_title          = require('./meta_title'),18    excerpt             = require('./excerpt'),19    tagsHelper          = require('./tags'),20    imageHelper         = require('./image'),21    blog,22    ghost_head;23function getImage(ops, context, contextObject) {24    if (context === 'home' || context === 'author') {25        contextObject.image = contextObject.cover;26    }27    ops.push(imageHelper.call(contextObject, {hash: {absolute: true}}));28    if (context === 'post' && contextObject.author) {29        ops.push(imageHelper.call(contextObject.author, {hash: {absolute: true}}));30    }31    return ops;32}33function getPaginationUrls(pagination, relativeUrl, secure, head) {34    var trimmedUrl, next, prev,35        trimmedUrlpattern = /.+(?=\/page\/\d*\/)/,36        tagOrAuthorPattern = /\/(tag)|(author)\//;37    trimmedUrl = relativeUrl.match(trimmedUrlpattern);38    if (pagination.prev) {39        prev = (pagination.prev > 1 ? '/page/' + pagination.prev + '/' : '/');40        prev = (trimmedUrl) ? trimmedUrl + prev : prev;41        head.push('<link rel="prev" href="' +42                config.urlFor({relativeUrl: prev, secure: secure}, true) + '" />'43        );44    }45    if (pagination.next) {46        next = '/page/' + pagination.next + '/';47        if (trimmedUrl) {48            next = trimmedUrl + next;49        } else if (tagOrAuthorPattern.test(relativeUrl)) {50            next = relativeUrl.slice(0, -1) + next;51        }52        head.push('<link rel="next" href="' +53                config.urlFor({relativeUrl: next, secure: secure}, true) + '" />'54        );55    }56    return head;57}58function addContextMetaData(context, data, metaData) {59    // escaped data60    metaData.metaTitle = hbs.handlebars.Utils.escapeExpression(metaData.metaTitle);61    metaData.metaDescription = metaData.metaDescription ? hbs.handlebars.Utils.escapeExpression(metaData.metaDescription) : null;62    if (context === 'author') {63        metaData.authorUrl =  hbs.handlebars.Utils.escapeExpression(blog.url + '/author/' + data.author.slug);64        metaData.ogType = 'profile';65    } else if (context === 'post') {66        metaData.publishedDate = moment(data.post.published_at).toISOString();67        metaData.modifiedDate = moment(data.post.updated_at).toISOString();68        metaData.authorUrl = hbs.handlebars.Utils.escapeExpression(blog.url + '/author/' + data.post.author.slug);69        metaData.ogType = 'article';70    }71    return metaData;72}73function initMetaData(context, data, results) {74    var metaData = {75        url: results[0].value(),76        metaDescription: results[1].value() || null,77        metaTitle: results[2].value(),78        coverImage:  results.length > 3 ? results[3].value() : null,79        authorImage: results.length > 4 ? results[4].value() : null,80        publishedDate: null,81        modifiedDate: null,82        tags: null,83        card: 'summary',84        authorUrl: null,85        ogType: 'website',86        keywords: null,87        blog: blog,88        title: blog.title89    };90    if (!metaData.metaDescription) {91        if (context === 'post') {92            metaData.metaDescription = excerpt.call(data.post, {hash: {words: '40'}}).string + '...';93        } else if (context === 'tag') {94            metaData.metaDescription = data.tag.description ? data.tag.description : null;95        }96    }97    return addContextMetaData(context, data, metaData);98}99function getStructuredData(metaData) {100    var structuredData;101    if (metaData.coverImage) {102        metaData.card = 'summary_large_image';103    }104    structuredData = {105        'og:site_name': metaData.title,106        'og:type': metaData.ogType,107        'og:title': metaData.metaTitle,108        'og:description': metaData.metaDescription,109        'og:url': metaData.url,110        'og:image': metaData.coverImage,111        'article:published_time': metaData.publishedDate,112        'article:modified_time': metaData.modifiedDate,113        'article:tag': metaData.tags,114        'twitter:card': metaData.card,115        'twitter:title': metaData.metaTitle,116        'twitter:description': metaData.metaDescription,117        'twitter:url': metaData.url,118        'twitter:image:src': metaData.coverImage119    };120    return structuredData;121}122// Creates the final schema object with values that are not null123function trimSchema(schema) {124    var schemaObject = {};125    _.each(schema, function (value, key) {126        if (value !== null && value !== undefined) {127            schemaObject[key] = value;128        }129    });130    return schemaObject;131}132function getPostSchema(metaData, data) {133    var schema = {134        '@context': 'http://schema.org',135        '@type': 'Article',136        publisher: metaData.title,137        author: {138            '@type': 'Person',139            name: data.post.author.name,140            image: metaData.authorImage,141            url: metaData.authorUrl,142            sameAs: data.post.author.website || null,143            description: data.post.author.bio || null144        },145        headline: metaData.metaTitle,146        url: metaData.url,147        datePublished: metaData.publishedDate,148        dateModified: metaData.modifiedDate,149        image: metaData.coverImage,150        keywords: metaData.keywords,151        description: metaData.metaDescription152    };153    return trimSchema(schema);154}155function getTagSchema(metaData, data) {156    var schema = {157        '@context': 'http://schema.org',158        '@type': 'Series',159        publisher: metaData.title,160        url: metaData.url,161        image: metaData.coverImage,162        name: data.tag.name,163        description: metaData.metaDescription164    };165    return trimSchema(schema);166}167function getAuthorSchema(metaData, data) {168    var schema = {169        '@context': 'http://schema.org',170        '@type': 'Person',171        sameAs: data.author.website || null,172        publisher: metaData.title,173        name: data.author.name,174        url: metaData.authorUrl,175        image: metaData.coverImage,176        description: metaData.metaDescription177    };178    return trimSchema(schema);179}180function getHomeSchema(metaData) {181    var schema = {182        '@context': 'http://schema.org',183        '@type': 'Website',184        publisher: metaData.title,185        url: metaData.url,186        image: metaData.coverImage,187        description: metaData.metaDescription188    };189    return trimSchema(schema);190}191function chooseSchema(metaData, context, data) {192    if (context === 'post') {193        return getPostSchema(metaData, data);194    } else if (context === 'home') {195        return getHomeSchema(metaData);196    } else if (context === 'tag') {197        return getTagSchema(metaData, data);198    } else if (context === 'author') {199        return getAuthorSchema(metaData, data);200    }201}202function finaliseStructuredData(structuredData, tags, head) {203    var type;204    _.each(structuredData, function (content, property) {205        if (property === 'article:tag') {206            _.each(tags, function (tag) {207                if (tag !== '') {208                    tag = hbs.handlebars.Utils.escapeExpression(tag.trim());209                    head.push('<meta property="' + property + '" content="' + tag + '" />');210                }211            });212            head.push('');213        } else if (content !== null && content !== undefined) {214            type = property.substring(0, 7) === 'twitter' ? 'name' : 'property';215            head.push('<meta ' + type + '="' + property + '" content="' + content + '" />');216        }217    });218    return head;219}220function finaliseSchema(schema, head) {221    head.push('<script type="application/ld+json">\n' + JSON.stringify(schema, null, '    ') +222            '\n    </script>\n'223    );224    return head;225}226ghost_head = function (options) {227    // create a shortcut for theme config228    blog = config.theme;229    /*jshint unused:false*/230    var self = this,231        useStructuredData = !config.isPrivacyDisabled('useStructuredData'),232        head = [],233        safeVersion = this.safeVersion,234        ops = [],235        structuredData,236        schema,237        title = hbs.handlebars.Utils.escapeExpression(blog.title),238        context = self.context ? self.context[0] : null,239        contextObject = self[context] || blog;240    // Push Async calls to an array of promises241    ops.push(urlHelper.call(self, {hash: {absolute: true}}));242    ops.push(meta_description.call(self, options));243    ops.push(meta_title.call(self, options));244    ops = getImage(ops, context, contextObject);245    // Resolves promises then push pushes meta data into ghost_head246    return Promise.settle(ops).then(function (results) {247        if (context) {248            var metaData = initMetaData(context, self, results),249                tags = tagsHelper.call(self.post, {hash: {autolink: 'false'}}).string.split(',');250            // If there are tags - build the keywords metaData string251            if (tags[0] !== '') {252                metaData.keywords = hbs.handlebars.Utils.escapeExpression(tagsHelper.call(self.post,253                    {hash: {autolink: 'false', separator: ', '}}254                ).string);255            }256            // head is our main array that holds our meta data257            head.push('<link rel="canonical" href="' + metaData.url + '" />');258            head.push('<meta name="referrer" content="origin" />');259            // Generate context driven pagination urls260            if (self.pagination) {261                getPaginationUrls(self.pagination, self.relativeUrl, self.secure, head);262            }263            // Test to see if we are on a post page and that Structured data has not been disabled in config.js264            if (context !== 'paged' && context !== 'page' && useStructuredData) {265                // Create context driven OpenGraph and Twitter meta data266                structuredData = getStructuredData(metaData);267                // Create context driven JSONLD object268                schema = chooseSchema(metaData, context, self);269                head.push('');270                // Formats structured data and pushes to head array271                finaliseStructuredData(structuredData, tags, head);272                head.push('');273                // Formats schema script/JSONLD data and pushes to head array274                finaliseSchema(schema, head);275            }276        }277        head.push('<meta name="generator" content="Ghost ' + safeVersion + '" />');278        head.push('<link rel="alternate" type="application/rss+xml" title="' +279            title  + '" href="' + config.urlFor('rss', null, true) + '" />');280    }).then(function () {281        return api.settings.read({key: 'ghost_head'});282    }).then(function (response) {283        head.push(response.settings[0].value);284        return filters.doFilter('ghost_head', head);285    }).then(function (head) {286        var headString = _.reduce(head, function (memo, item) { return memo + '\n    ' + item; }, '');287        return new hbs.handlebars.SafeString(headString.trim());288    });289};...

test_schema.py

Source:test_schema.py

...19                                 'i_3001a.ntf')20        cls._meta = geoutils.Metadata()21        nitf = geoutils.NITF(source_filename=cls._file)22        nitf.open()23        cls._meta.extract_meta(dataset=nitf.dataset)24    def setUp(self):25        self._schema = geoutils.Schema()26    def test_init(self):27        """Initialise a geoutils.Schema object.28        """29        msg = 'Object is not a geoutils.Schema'30        self.assertIsInstance(self._schema, geoutils.Schema, msg)31    def test_callable(self):32        """Invoke the geoutils.Schema object instance.33        """34        self._schema.source_id = 'i_3001a'35        self._schema.shard_id = 's01'36        received = self._schema()37        expected = {'row_id': 'i_3001a',38                    'shard_id': 's01',39                    'tables': {}}40        msg = 'geoutils.Schema callable error'41        self.assertDictEqual(received, expected, msg)42    def test_build_meta_data_structure(self):43        """Build the metadata ingest data structure.44        """45        self._schema.build_meta('meta_library', self._meta)46        received = self._schema.data['tables']['meta_library']['cf']47        expected = SCHEMA_DATA_01['tables']['meta_library']['cf']48        msg = 'Metadata data structure result error'49        self.assertDictEqual(received, expected, msg)50    def test_build_meta_data_structure_missing_geogcs(self):51        """Build the metadata ingest data structure: missing GEOGCS.52        """53        file_no_geogcs = os.path.join('geoutils',54                                      'tests',55                                      'files',56                                      'i_6130e.ntf')57        nitf = geoutils.NITF(source_filename=file_no_geogcs)58        nitf.open()59        meta = geoutils.Metadata()60        meta.extract_meta(dataset=nitf.dataset)61        self._schema.build_meta('meta_library', meta)62        received = self._schema.data['tables']['meta_library']['cf']63        expected = SCHEMA_DATA_02['tables']['meta_library']['cf']64        msg = 'Metadata data structure result error'65        self.assertDictEqual(received, expected, msg)66    def test_build_document_map(self):67        """Build a document map.68        """69        meta_dict = SCHEMA_DATA_01['tables']['meta_library']['cf']['cq']70        received = self._schema.build_document_map(meta_dict)71        expected = ['00000',72                    '1024x1024',73                    '19961217102630',74                    '19971217102630',75                    '5458',...

test_metadata.py

Source:test_metadata.py

1# pylint: disable=R0904,C01032""":class:`geoutils.model.Metadata` tests.3"""4import unittest25import os6import geoutils7import geolib_mock8from geoutils.tests.files.ingest_data_01 import DATA as DATA_019from geoutils.tests.files.ingest_data_02 import DATA as DATA_0210class TestModelMetadata(unittest2.TestCase):11    """:class:`geoutils.model.Metadata` test cases.12    """13    @classmethod14    def setUpClass(cls):15        """Attempt to start the Accumulo mock proxy server.16        """17        cls.maxDiff = None18        conf = os.path.join('geoutils',19                            'tests',20                            'files',21                            'proxy.properties')22        cls._mock = geolib_mock.MockServer(conf)23        cls._mock.start()24        cls._meta_table_name = 'meta_library'25        cls._image_spatial_index_table_name = 'image_spatial_index'26    def setUp(self):27        self._ds = geoutils.Datastore()28        self._meta = geoutils.model.Metadata(connection=self._ds.connect(),29                                             name=self._meta_table_name)30        self._meta.coord_cols = [['coord=0'],31                                 ['coord=1'],32                                 ['coord=2'],33                                 ['coord=3']]34    def test_init(self):35        """Initialise a :class:`geoutils.model.Metadata` object.36        """37        msg = 'Object is not a geoutils.model.Metadata'38        self.assertIsInstance(self._meta, geoutils.model.Metadata, msg)39    def test_name(self):40        """Check the default table name.41        """42        msg = 'Default table name error'43        self.assertEqual(self._meta.name, 'meta_library', msg)44    def test_query_metadata_no_data(self):45        """Query the metadata component from an empty datastore.46        """47        self._ds.init_table(self._meta_table_name)48        received = self._meta.query_metadata(key='i_3001a')49        expected = {}50        msg = 'Scan across empty table should return 0 cells'51        self.assertDictEqual(received, expected, msg)52        # Clean up.53        self._ds.delete_table(self._meta_table_name)54    def test_query_metadata_with_data(self):55        """Attempt to query the metadata component from the datastore.56        """57        self._ds.init_table(self._meta_table_name)58        self._ds.ingest(DATA_01)59        received = self._meta.query_metadata(key='i_3001a')60        from geoutils.tests.results.meta_01 import META61        expected = META62        msg = 'Scan across table should return cells'63        self.assertDictEqual(received, expected, msg)64        # Clean up.65        self._ds.delete_table(self._meta_table_name)66    def test_query_metadata_with_data_missing_row_id(self):67        """Query metadata from the datastore: missing row_id.68        """69        self._ds.init_table(self._meta_table_name)70        self._ds.ingest(DATA_01)71        received = self._meta.query_metadata(key='dodgy')72        from geoutils.tests.results.meta_01 import META73        expected = {}74        msg = 'Scan across metadata table against dodgy row_id error'75        self.assertDictEqual(received, expected, msg)76        # Clean up.77        self._ds.delete_table(self._meta_table_name)78    def test_query_metadata_with_data_jsonify(self):79        """Query the metadata component from the datastore: jsonify.80        """81        self._ds.init_table(self._meta_table_name)82        self._ds.ingest(DATA_01)83        received = self._meta.query_metadata(key='i_3001a',84                                             jsonify=True)85        results_file = os.path.join('geoutils',86                                    'tests',87                                    'results',88                                    'ingest_data_01.txt')89        results_fh = open(results_file)90        expected = results_fh.readline().rstrip()91        msg = 'JSON results from metadata scan error'92        self.assertEqual(received, expected, msg)93        # Clean up.94        self._ds.delete_table(self._meta_table_name)95    def test_query_coords(self):96        """Scan the metadata datastore table.97        """98        self._ds.init_table(self._meta_table_name)99        self._ds.ingest(DATA_01)100        received = self._meta.query_coords(jsonify=True)101        results_file = os.path.join('geoutils',102                                    'tests',103                                    'results',104                                    'coords01.txt')105        results_fh = open(results_file)106        expected = results_fh.readline().rstrip()107        msg = 'Image coordinates scan should return results'108        self.assertEqual(received, expected, msg)109        # Clean up.110        self._ds.delete_table(self._meta_table_name)111    def test_query_coords_missing_geogcs(self):112        """Scan the metadata datastore table: missing GEOGCS.113        """114        self._ds.init_table(self._meta_table_name)115        self._ds.ingest(DATA_02)116        received = self._meta.query_coords(jsonify=False)117        expected = {}118        msg = 'Image coords scan should return no results: no GEOGCS'119        self.assertDictEqual(received, expected, msg)120        # Clean up.121        self._ds.delete_table(self._meta_table_name)122    def test_query_points(self):123        """Scan the metadata spatial index table.124        """125        self._ds.init_table(self._image_spatial_index_table_name)126        self._ds.ingest(DATA_01)127        point = (32.9831944444, 85.0001388889)128        received = self._meta.query_points(point)129        expected = {'center_point_match': ['i_3001a']}130        msg = 'Image points scan should return results'131        self.assertDictEqual(received, expected, msg)132        # Shift the grid up around 110KM.133        point = (34.0, 85.0001388889)134        received = self._meta.query_points(point)135        expected = {'center_point_match': []}136        msg = 'Image points scan should not return results'137        self.assertDictEqual(received, expected, msg)138        # Clean up.139        self._ds.delete_table(self._meta_table_name)140    def test_query_bbox_points(self):141        """Scan the metadata spatial index table: bbox.142        """143        self._ds.init_table(self._image_spatial_index_table_name)144        self._ds.ingest(DATA_01)145        point = (32.0, 84.0, 34.0, 86.0)146        received = self._meta.query_bbox_points(point)147        expected = {'center_point_match': ['i_3001a']}148        msg = 'Image points scan should return results'149        self.assertDictEqual(received, expected, msg)150        # Shift the boundary box.151        point = (12.0, 84.0, 14.0, 86.0)152        received = self._meta.query_bbox_points(point)153        expected = {'center_point_match': []}154        msg = 'Image points scan should not return results'155        self.assertDictEqual(received, expected, msg)156        # Clean up.157        self._ds.delete_table(self._meta_table_name)158    def test_scan_metadata_no_data(self):159        """Chained meta scans: no data.160        """161        self._ds.init_table(self._meta_table_name)162        kwargs = {'metadata=NITF_IREP': ['MONO'],163                  'metadata=NITF_FTITLE': ['Airfield', 'Checks an']}164        received = self._meta.scan_metadata(search_terms=kwargs)165        expected = {'metas': []}166        msg = 'Chained meta scans should return no results'167        self.assertDictEqual(received, expected, msg)168        # Clean up.169        self._ds.delete_table(self._meta_table_name)170    def test_scan_metadata(self):171        """Chained meta scans.172        """173        self._ds.init_table(self._meta_table_name)174        self._ds.ingest(DATA_01)175        self._ds.ingest(DATA_02)176        # Single result.177        kwargs = {'metadata=NITF_IREP': ['MONO'],178                  'metadata=NITF_FTITLE': ['Airfield', 'Checks an']}179        received = self._meta.scan_metadata(search_terms=kwargs)180        expected = {'metas': ['i_3001a']}181        msg = 'Chained meta scans should return single result'182        self.assertDictEqual(received, expected, msg)183        # Multiple results.184        kwargs = {'metadata=NITF_IREP': ['MONO']}185        received = self._meta.scan_metadata(search_terms=kwargs)186        expected = {'metas': ['i_3001a', 'i_6130e']}187        msg = 'Chained meta scans should return multiple results'188        self.assertDictEqual(received, expected, msg)189        # Clean up.190        self._ds.delete_table(self._meta_table_name)191    def tearDown(self):192        self._meta = None193        del self._meta194        self._ds = None195        del self._ds196    @classmethod197    def tearDownClass(cls):198        """Shutdown the Accumulo mock proxy server (if enabled)199        """200        cls._mock.stop()201        del cls._meta_table_name...

test_graphCreator.py

Source:test_graphCreator.py

1import os2import unittest3import openbiolink.graphProperties as graphProp4from openbiolink import globalConfig5from openbiolink.graph_creation.graphCreation import Graph_Creation6from openbiolink.graph_creation.metadata_db_file import *7class TestGraphCreation(unittest.TestCase):8    def test_graph_creation(self):9        # creates test graph from test o_files and compares against true reference test graph10        # tests directed and undirected version of graph (and TN-graph)11        # well as the output into a single as well as in separate files12        # globalConfig = __import__('../../src/openbiolink/graphCreation.py')13        # graphProp = __import__('../../src/openbiolink/globalConfig.py')14        # graphProp = __import__('../../src/graph_creation/graphCreation.py')15        # graphProp = __import__('../../src/openbiolink/graphCreation.py')16        manual_db_file_metadata = []17        # EDGES --------------------------------------------------18        dbMetaEdgeBgeeDiffExpr = DbMetaEdgeBgeeDiffExpr19        dbMetaEdgeBgeeDiffExpr.OFILE_NAME = "BGEE_overexpr.tsv"20        manual_db_file_metadata.append(dbMetaEdgeBgeeDiffExpr)21        dbMetaEdgeBgeeExpr = DbMetaEdgeBgeeExpr22        dbMetaEdgeBgeeExpr.OFILE_NAME = "BGEE_expr_calls.tsv"23        manual_db_file_metadata.append(dbMetaEdgeBgeeExpr)24        dbMetaEdgeCdtPath = DbMetaEdgeCtdPath25        dbMetaEdgeCdtPath.OFILE_NAME = "CDT_gene_pathway.tsv"26        manual_db_file_metadata.append(dbMetaEdgeCdtPath)27        dbMetaEdgeDisGeNet = DbMetaEdgeDisGeNet28        dbMetaEdgeDisGeNet.OFILE_NAME = "DisGeNet_gene_disease.tsv"29        manual_db_file_metadata.append(dbMetaEdgeDisGeNet)30        dbMetaEdgeDrugCentral = DbMetaEdgeDrugCentral31        dbMetaEdgeDrugCentral.OFILE_NAME = "drugcentral_dump.sql"32        manual_db_file_metadata.append(dbMetaEdgeDrugCentral)33        dbMetaEdgeGo = DbMetaEdgeGo34        dbMetaEdgeGo.OFILE_NAME = "GO_annotations.gaf"35        manual_db_file_metadata.append(dbMetaEdgeGo)36        dbMetaEdgeHpoDis = DbMetaEdgeHpoDis37        dbMetaEdgeHpoDis.OFILE_NAME = "HPO_disease_phenotype.tab"38        manual_db_file_metadata.append(dbMetaEdgeHpoDis)39        dbMetaEdgeTnHpoDis = DbMetaEdgeTnHpoDis40        dbMetaEdgeTnHpoDis.OFILE_NAME = "HPO_TN_disease_phenotype.tab"41        manual_db_file_metadata.append(dbMetaEdgeTnHpoDis)42        dbMetaEdgeHpoGene = DbMetaEdgeHpoGene43        dbMetaEdgeHpoGene.OFILE_NAME = "HPO_gene_phenotype.tsv"44        manual_db_file_metadata.append(dbMetaEdgeHpoGene)45        dbMetaEdgeSiderSe = DbMetaEdgeSiderSe46        dbMetaEdgeSiderSe.OFILE_NAME = "SIDER_se.tsv"47        manual_db_file_metadata.append(dbMetaEdgeSiderSe)48        dbMetaEdgeStitch = DbMetaEdgeStitch49        dbMetaEdgeStitch.OFILE_NAME = "STITCH_gene_drug.tsv"50        manual_db_file_metadata.append(dbMetaEdgeStitch)51        dbMetaEdgeString = DbMetaEdgeString52        dbMetaEdgeString.OFILE_NAME = "STRING_gene_gene.txt"53        manual_db_file_metadata.append(dbMetaEdgeString)54        dbMetaEdgeStitchAction = DbMetaEdgeStitchAction55        dbMetaEdgeStitchAction.OFILE_NAME = "STITCH_gene_drug_actions.tsv"56        manual_db_file_metadata.append(dbMetaEdgeStitchAction)57        dbMetaEdgeStringAction = DbMetaEdgeStringAction58        dbMetaEdgeStringAction.OFILE_NAME = "STRING_gene_gene_actions.tsv"59        manual_db_file_metadata.append(dbMetaEdgeStringAction)60        # MAPPINGS --------------------------------------------------61        dbMetaMapDisGeNet = DbMetaMapDisGeNet62        dbMetaMapDisGeNet.OFILE_NAME = "DisGeNet_mapping_disease_umls_do.tab"63        manual_db_file_metadata.append(dbMetaMapDisGeNet)64        dbMetaMapString = DbMetaMapString65        dbMetaMapString.OFILE_NAME = "String_mapping_gene_ncbi_string.tsv"66        manual_db_file_metadata.append(dbMetaMapString)67        dbMetaMapUnipro = DbMetaMapUniprot68        dbMetaMapUnipro.OFILE_NAME = "Uniprot_mapping_gene.tab"69        manual_db_file_metadata.append(dbMetaMapUnipro)70        # ONTO --------------------------------------------------71        dbMetaOntoDo = DbMetaOntoDo72        dbMetaOntoDo.OFILE_NAME = "DO_ontology.obo"73        manual_db_file_metadata.append(dbMetaOntoDo)74        dbMetaOntoGo = DbMetaOntoGo75        dbMetaOntoGo.OFILE_NAME = "GO_ontology.obo"76        manual_db_file_metadata.append(dbMetaOntoGo)77        dbMetaOntoHpo = DbMetaOntoHpo78        dbMetaOntoHpo.OFILE_NAME = "HPO_ontology.obo"79        manual_db_file_metadata.append(dbMetaOntoHpo)80        dbMetaOntoUberon = DbMetaOntoUberon81        dbMetaOntoUberon.OFILE_NAME = "UBERON_ontology.obo"82        manual_db_file_metadata.append(dbMetaOntoUberon)83        current_folder = os.path.dirname(os.path.realpath(__file__))84        test_folder = os.path.abspath(os.path.join(current_folder, os.pardir))85        test_data_folder = os.path.join(test_folder, "test_data")86        output_data_folder = os.path.join(test_data_folder, "graph_files")87        true_ref_folder = os.path.join(test_data_folder, "TR_files")88        # global variables89        graphProp.QUALITY = None90        globalConfig.INTERACTIVE_MODE = False91        globalConfig.SKIP_EXISTING_FILES = False92        directed_tuple = True, "TR_DIR_"93        undirected_tuple = False, "TR_NOT_"94        cases = [directed_tuple, undirected_tuple]95        for case in cases:96            graph_is_directed, true_ref_file_prefix = case97            print("\n##########################################")98            print("GRAPH IS DIRECTED: " + str(graph_is_directed) + "\n")99            with self.subTest(graph_is_directed=graph_is_directed):100                graphProp.DIRECTED = graph_is_directed101                graph_creator = Graph_Creation(test_data_folder, manual_db_file_metadata)102                graph_creator.create_input_files()103                graph_creator.create_graph(one_file_sep="\t", multi_file_sep="\t")104                true_ref_files = [105                    f for f in os.listdir(true_ref_folder) if f.startswith(true_ref_file_prefix)106                ]  # os.path.isfile(f) ]107                missing_elements = []108                for ref_file_name in true_ref_files:109                    with self.subTest(ref_file_name=ref_file_name):110                        all_lines_in_comp_file = True111                        with open(os.path.join(true_ref_folder, ref_file_name)) as f:112                            ref_file = f.readlines()113                        with open(os.path.join(output_data_folder, ref_file_name[7:])) as f:114                            comp_file = f.readlines()115                        comp_dict = {}116                        j = 0117                        for row in comp_file:118                            comp_dict[j] = row119                            j += 1120                        i = 0121                        for row in ref_file:122                            if row not in comp_dict.values():123                                all_lines_in_comp_file = False124                                missing_elements.append(row)125                            i += 1126                        if not all_lines_in_comp_file:127                            print(ref_file_name)128                            print("missing elements:", missing_elements)129                        assert j == i...

__init__.py

Source:__init__.py

1from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDisDrug import EdgeMetaDisDrug2from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDisPheno import EdgeMetaDisPheno3from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugActivationGene import EdgeMetaDrugActivationGene4from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugBindActGene import EdgeMetaDrugBindActGene5from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugBindInhGene import EdgeMetaDrugBindInhGene6from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugBindingGene import EdgeMetaDrugBindingGene7from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugCatalysisGene import EdgeMetaDrugCatalysisGene8from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugExpressionGene import EdgeMetaDrugExpressionGene9from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugInhibitionGene import EdgeMetaDrugInhibitionGene10from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugPheno import EdgeMetaDrugPheno11from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugPredBindGene import EdgeMetaDrugPredBindGene12from openbiolink.graph_creation.metadata_edge.edge.edgeMetaDrugReactionGene import EdgeMetaDrugReactionGene13from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneActivationGene import EdgeMetaGeneActivationGene14from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneAna import EdgeMetaGeneAna15from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneBindActGene import EdgeMetaGeneBindActGene16from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneBindInhGene import EdgeMetaGeneBindInhGene17from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneBindingGene import EdgeMetaGeneBindingGene18from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneCatalysisGene import EdgeMetaGeneCatalysisGene19from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneDis import EdgeMetaGeneDis20from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneDrug import EdgeMetaGeneDrug21from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneExpressionGene import EdgeMetaGeneExpressionGene22from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneGene import EdgeMetaGeneGene23from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneGo import EdgeMetaGeneGo24from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneInhibitionGene import EdgeMetaGeneInhibitionGene25from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneOverAna import EdgeMetaGeneOverAna26from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGenePath import EdgeMetaGenePath27from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGenePheno import EdgeMetaGenePheno28from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGenePtmodGene import EdgeMetaGenePtmodGene29from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneReactionGene import EdgeMetaGeneReactionGene30from openbiolink.graph_creation.metadata_edge.edge.edgeMetaGeneUnderAna import EdgeMetaGeneUnderAna31from openbiolink.graph_creation.metadata_edge.edge.tnEdgeMetaDisDrug import TnEdgeMetaDisDrug32from openbiolink.graph_creation.metadata_edge.edge.tnEdgeMetaDisPheno import TnEdgeMetaDisPheno33from openbiolink.graph_creation.metadata_edge.edge.tnEdgeMetaGeneAna import TnEdgeMetaGeneAna34from openbiolink.graph_creation.metadata_edge.edge.tnEdgeMetaGeneOverAna import TnEdgeMetaGeneOverAna...

meta.js

Source:meta.js

1/**2 * @ngdoc service3 * @name $$mdMeta4 * @module material.core.meta5 *6 * @description7 *8 * A provider and a service that simplifies meta tags access9 *10 * Note: This is intended only for use with dynamic meta tags such as browser color and title.11 * Tags that are only processed when the page is rendered (such as `charset`, and `http-equiv`)12 * will not work since `$$mdMeta` adds the tags after the page has already been loaded.13 *14 * ```js15 * app.config(function($$mdMetaProvider) {16 *   var removeMeta = $$mdMetaProvider.setMeta('meta-name', 'content');17 *   var metaValue  = $$mdMetaProvider.getMeta('meta-name'); // -> 'content'18 *19 *   removeMeta();20 * });21 *22 * app.controller('myController', function($$mdMeta) {23 *   var removeMeta = $$mdMeta.setMeta('meta-name', 'content');24 *   var metaValue  = $$mdMeta.getMeta('meta-name'); // -> 'content'25 *26 *   removeMeta();27 * });28 * ```29 *30 * @returns {$$mdMeta.$service}31 *32 */33angular.module('material.core.meta', [])34  .provider('$$mdMeta', function () {35    var head = angular.element(document.head);36    var metaElements = {};37    /**38     * Checks if the requested element was written manually and maps it39     *40     * @param {string} name meta tag 'name' attribute value41     * @returns {boolean} returns true if there is an element with the requested name42     */43    function mapExistingElement(name) {44      if (metaElements[name]) {45        return true;46      }47      var element = document.getElementsByName(name)[0];48      if (!element) {49        return false;50      }51      metaElements[name] = angular.element(element);52      return true;53    }54    /**55     * @ngdoc method56     * @name $$mdMeta#setMeta57     *58     * @description59     * Creates meta element with the 'name' and 'content' attributes,60     * if the meta tag is already created than we replace the 'content' value61     *62     * @param {string} name meta tag 'name' attribute value63     * @param {string} content meta tag 'content' attribute value64     * @returns {function} remove function65     *66     */67    function setMeta(name, content) {68      mapExistingElement(name);69      if (!metaElements[name]) {70        var newMeta = angular.element('<meta name="' + name + '" content="' + content + '"/>');71        head.append(newMeta);72        metaElements[name] = newMeta;73      }74      else {75        metaElements[name].attr('content', content);76      }77      return function () {78        metaElements[name].attr('content', '');79        metaElements[name].remove();80        delete metaElements[name];81      };82    }83    /**84     * @ngdoc method85     * @name $$mdMeta#getMeta86     *87     * @description88     * Gets the 'content' attribute value of the wanted meta element89     *90     * @param {string} name meta tag 'name' attribute value91     * @returns {string} content attribute value92     */93    function getMeta(name) {94      if (!mapExistingElement(name)) {95        throw Error('$$mdMeta: could not find a meta tag with the name \'' + name + '\'');96      }97      return metaElements[name].attr('content');98    }99    var module = {100      setMeta: setMeta,101      getMeta: getMeta102    };103    return angular.extend({}, module, {104      $get: function () {105        return module;106      }107    });...

Using AI Code Generation

1var wpt = require('webpagetest');2var test = new wpt('www.webpagetest.org');3  if (err) {4    console.log(err);5  } else {6    test.getTestStatus(data.data.testId, function(err, data) {7      if (err) {8        console.log(err);9      } else {10        console.log(data);11      }12    });13  }14});

Using AI Code Generation

1wpt.meta(function(data) {2    console.log(data);3});4    console.log(data);5});6    console.log(data);7});8    console.log(data);9});10    console.log(data);11});12    console.log(data);13});14    console.log(data);15});16    console.log(data);17});18    console.log(data);19});20    console.log(data);21});22    console.log(data);23});24    console.log(data);25});26    console.log(data);27});28    console.log(data);29});

Using AI Code Generation

1var wptools = require('wptools');2var page = wptools.page('Albert Einstein');3page.get(function(err, resp) {4    console.log(err || resp);5});6{ title: 'Albert Einstein',

Using AI Code Generation

1var meta = require("wpt").meta;2var test = meta("test");3test("test1", function() {4});5test("test2", function() {6});7test("test3", function() {8});9test("test4", function() {10});11test("test5", function() {12});13test("test6", function() {14});15var meta = require("wpt").meta;16var test = meta("test1");17test("test1-1", function() {18});19test("test1-2", function() {20});21test("test1-3", function() {22});23test("test1-4", function() {24});25test("test1-5", function() {26});27test("test1-6", function() {28});29var meta = require("wpt").meta;30var test = meta("test2");31test("test2-1", function() {32});33test("test2-2", function() {34});35test("test2-3", function() {36});37test("test2-4", function() {38});39test("test2-5", function() {40});41test("test2-6", function() {42});43var meta = require("wpt").meta;44var test = meta("test3");45test("test3-1", function() {46});47test("test3-2", function() {48});49test("test3-3", function() {50});51test("test3-4", function() {52});53test("test3-5", function() {54});55test("test3-6", function() {56});

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