![]() ![]() a) effectively takes a T which will match any array of true objects (subclasses of Object) as an array. LoginAttributes, localLoginAttributes, useAnonymousBind) MaxConnections, useSSL, Arrays.asList(baseDNs), LdapConfiguration = GluuLdapConfiguration(configId, bindDN, bindPassword, Arrays.asList(servers), If (ntainsAttributeString(ldapConfiguration, "bindDN")):īindPassword = ldapConfiguration Return Analyzer.TokenStreamComponents(source, result)įor ldapConfiguration in authConfiguration: Result = SetKeywordMarkerFilter(result, self.stemExclusionSet) Result = StopFilter(result, self.stopwords) "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was",ĭef _init_(self, stopwords=ENGLISH_STOP_WORDS_SET, stemExclusionSet=CharArraySet.EMPTY_SET): Print "Result #%d : %s" % (i, facetResult)Ĭlass MyPythonEnglishAnalyzer(PythonEnglishAnalyzer):Ĭlass of our custom analyzer that uses filters:ĮNGLISH_STOP_WORDS_SET = CharArraySet.unmodifiableSet(CharArraySet(Arrays.asList( Print "Result #%d has %d descendants" % (i, facetResult.getNumValidDescendants()) Print "\nFound %d Documents for query=%s" % (topDocsCollector.totalHits, ![]() # perform documents search and facets accumulation # and create a FacetsCollector to use in our facetted search:įacetsCollector = FacetsCollector.create(facetSearchParams, indexReader, taxoReader) # Add the facet request of interest to the search params:įacetSearchParams = FacetSearchParams(indexingParams, facetRequests) # Faceted search parameters indicate which facets are we interested inįacetRequests = Arrays.asList(facetRequests) IndexingParams = FacetIndexingParams.DEFAULT TopDocsCollector = TopScoreDocCollector.create(10, True) # collect matching documents into a collector Search an index with facets for given query and facet requests. Unit.notifyListeners(JebEvent(J.UnitChange)) ĭef searchWithRequestAndQuery(cls, query, indexReader, taxoReader, Rows.add(TableRow(Arrays.asList(Cell('type'), Cell('integer'), Cell('unset'))))ĮxtraPres0 = UnitRepresentationAdapter(101, 'Demo Table', False, extraDoc)ĮxtraPres1 = UnitRepresentationAdapter(102, 'Demo Tree', False, extraDoc) Rows.add(TableRow(Arrays.asList(Cell('foo'), Cell('bar'), Cell('none')))) LdapConfiguration = GluuLdapConfiguration() LocalLoginAttributes = connectionConfiguration[ LoginAttributes = connectionConfiguration MaxConnections = connectionConfigurationīaseDNs = connectionConfiguration If (ntainsAttributeString(connectionConfiguration,īindDN = connectionConfigurationīindPassword = CdiUtil.bean(EncryptionService).decrypt( Unit.notifyListeners(JebEvent(J.UnitChange))ĭef createLdapExtendedConfigurations(self, authConfiguration):įor connectionConfiguration in authConfiguration:ĬonfigId = connectionConfiguration # the second argument indicates that the presentation should be persisted when saving the projectįormatter.addPresentation(extraPres0, True)įormatter.addPresentation(extraPres1, True) # add the newly created presentations to our unit, and notify clients tClassId(ItemClassIdentifiers.INFO_DANGEROUS)ĮxtraDoc = StaticTreeDocument(roots, columnLabels, -1)ĮxtraPres1 = UnitRepresentationAdapter(102, 'Demo Tree', False, Root.addChild(KVNode('galaxy', 'milky way')) Root.addChild(KVNode('quantified', 'self')) TableRow(Arrays.asList(Cell('foo'), Cell('bar'), Cell('none'))))Īrrays.asList(Cell('type'), Cell('integer'), Cell('unset'))))ĮxtraDoc = StaticTableDocument(columnLabels, rows)ĮxtraPres0 = UnitRepresentationAdapter(101, 'Demo Table', False,ĬolumnLabels = Arrays.asList('Key', 'Value') # retrieve the formatter, which is a producer of unit representationsĬolumnLabels = Arrays.asList('Key', 'Value', 'Comment') Units = RuntimeProjectUtil.findUnitsByType(projects, None, False) Print('Back-end engines not initialized') #anscirc = bwc.calculateBoxAndWhiskerStatistics(circlist) Standard outlier detection method, outliers in both smaller and larger sizesĪrea = rt.getColumn(rt.getColumnIndex('Area'))Ĭirc = rt.getColumn(rt.getColumnIndex("Circ."))Īrealist = ArrayList(Arrays.asList(area.tolist()))Ĭirclist = ArrayList(Arrays.asList(circ.tolist()))Īns = bwc.calculateBoxAndWhiskerStatistics(arealist) Small nucelei are already removed, but since rejection of nuclei depends on ![]() Overlap of neighboring neculeus 'terrirories', such nucleus Since the dilation of nuclear perimeter often causes """ Analyzes the results of the 1st partcile analysis. ![]()
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