Arrays aslist8/6/2023 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 First, we've created an array of Integer and then used asList() method to create a corresponding list and then the list is printed.""" Analyzes the results of the 1st partcile analysis. The following example shows the usage of Java Arrays asList() method. Let us compile and run the above program, this will produce the following result − First, we've created an array of Strings and then used asList() method to create a corresponding list and then the list is printed. This method returns a list view of the specified array. Declarationįollowing is the declaration for () methodĪ − This is the array by which the list will be backed. (Changes to the returned list "write through" to the array.) This method acts as bridge between array-based and collection-based APIs. a) returns a fixed-size list backed by the specified array.
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