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""" 

Wrappers for lucene Index{Read,Search,Writ}ers. 

 

The final `Indexer`_ classes exposes a high-level Searcher and Writer. 

""" 

 

from future_builtins import map, zip 

import os 

import re 

import itertools, operator 

import contextlib 

import abc, collections 

import warnings 

import lucene 

from .queries import Query, Collector, TermsFilter, SortField, Highlighter, FastVectorHighlighter, SpellChecker, SpellParser 

from .documents import Field, Document, Hits 

from .spatial import DistanceComparator 

 

class Atomic(object): 

    "Abstract base class to distinguish singleton values from other iterables." 

    __metaclass__ = abc.ABCMeta 

    @classmethod 

    def __subclasshook__(cls, other): 

        return not issubclass(other, collections.Iterable) or NotImplemented 

for cls in (basestring, lucene.TokenStream, lucene.JArray_byte): 

    Atomic.register(cls) 

 

class closing(set): 

    "Manage lifespan of registered objects, similar to contextlib.closing." 

    def __del__(self): 

        for obj in self: 

            getattr(obj, 'decRef', obj.close)() 

    def analyzer(self, analyzer, version=None): 

        if analyzer is None: 

            analyzer = lucene.StandardAnalyzer(version or lucene.Version.values()[-1]) 

            self.add(analyzer) 

        return analyzer 

    def directory(self, directory): 

        if directory is None: 

            directory = lucene.RAMDirectory() 

            self.add(directory) 

        elif isinstance(directory, basestring): 

            directory = lucene.FSDirectory.open(lucene.File(directory)) 

            self.add(directory) 

        return directory 

    def reader(self, reader): 

        reader = self.directory(reader) 

        if isinstance(reader, lucene.IndexReader): 

            reader.incRef() 

        else: 

            reader = lucene.IndexReader.open(reader, True) 

        return reader 

 

def copy(commit, dest): 

    """Copy the index commit to the destination directory. 

    Optimized to use hard links if the destination is a file system path. 

    """ 

    src = commit.directory 

    if isinstance(dest, lucene.Directory): 

        for filename in commit.fileNames: 

            src.copy(dest, filename, filename) 

    else: 

        src = lucene.FSDirectory.cast_(src).directory.path 

        os.path.isdir(dest) or os.makedirs(dest) 

        for filename in commit.fileNames: 

            paths = os.path.join(src, filename), os.path.join(dest, filename) 

            try: 

                os.link(*paths) 

            except OSError: 

                if not os.path.samefile(*paths): 

                    raise 

 

class TokenStream(lucene.TokenStream): 

    "TokenStream mixin with support for iteration and attributes cached as properties." 

    def __iter__(self): 

        return self 

    def next(self): 

        if self.incrementToken(): 

            return self 

        raise StopIteration 

    def __getattr__(self, name): 

        cls = getattr(lucene, name + 'Attribute').class_ 

        attr = self.getAttribute(cls) if self.hasAttribute(cls) else self.addAttribute(cls) 

        setattr(self, name, attr) 

        return attr 

    @property 

    def offset(self): 

        "Start and stop character offset." 

        return self.Offset.startOffset(), self.Offset.endOffset() 

    @offset.setter 

    def offset(self, item): 

        self.Offset.setOffset(*item) 

    @property 

    def payload(self): 

        "Payload bytes." 

        payload = self.Payload.payload 

        return payload and getattr(payload.data, 'string_', None) 

    @payload.setter 

    def payload(self, data): 

        self.Payload.payload = lucene.Payload(lucene.JArray_byte(data)) 

    @property 

    def positionIncrement(self): 

        "Position relative to the previous token." 

        return self.PositionIncrement.positionIncrement 

    @positionIncrement.setter 

    def positionIncrement(self, index): 

        self.PositionIncrement.positionIncrement = index 

    @property 

    def term(self): 

        "Term text." 

        return self.Term.term() 

    @term.setter 

    def term(self, text): 

        self.Term.setTermBuffer(text) 

    @property 

    def type(self): 

        "Lexical type." 

        return self.Type.type() 

    @type.setter 

    def type(self, text): 

        self.Type.setType(text) 

 

class TokenFilter(lucene.PythonTokenFilter, TokenStream): 

    """Create an iterable lucene TokenFilter from a TokenStream. 

    Subclass and override :meth:`incrementToken` or :meth:`setattrs`. 

    """ 

    def __init__(self, input): 

        lucene.PythonTokenFilter.__init__(self, input) 

        self.input = input 

    def incrementToken(self): 

        "Advance to next token and return whether the stream is not empty." 

        result = self.input.incrementToken() 

        self.setattrs() 

        return result 

    def setattrs(self): # pragma: no branch 

        "Customize current token." 

 

class Analyzer(lucene.PythonAnalyzer): 

    """Return a lucene Analyzer which chains together a tokenizer and filters. 

     

    :param tokenizer: lucene Tokenizer or Analyzer 

    :param filters: lucene TokenFilters 

    """ 

    def __init__(self, tokenizer, *filters): 

        lucene.PythonAnalyzer.__init__(self) 

        self.tokenizer, self.filters = tokenizer, filters 

    def tokenStream(self, field, reader): 

        tokens = self.tokenizer.tokenStream(field, reader) if isinstance(self.tokenizer, lucene.Analyzer) else self.tokenizer(reader) 

        for filter in self.filters: 

            tokens = filter(tokens) 

        return tokens 

    def tokens(self, text, field=None): 

        "Return lucene TokenStream from text." 

        return self.tokenStream(field, lucene.StringReader(text)) 

    def parse(self, query, field='', op='', version='', parser=None, **attrs): 

        """Return parsed lucene Query. 

         

        :param query: query string 

        :param field: default query field name, sequence of names, or boost mapping 

        :param op: default query operator ('or', 'and') 

        :param version: lucene Version string 

        :param parser: custom PythonQueryParser class 

        :param attrs: additional attributes to set on the parser 

        """ 

        # parsers aren't thread-safe (nor slow), so create one each time 

        args = [lucene.Version.valueOf('LUCENE_' + version.replace('.', '')) if version else lucene.Version.values()[-1]] 

        if isinstance(field, collections.Mapping): 

            boosts = lucene.HashMap() 

            for key in field: 

                boosts.put(key, lucene.Float(field[key])) 

            args += list(field), self, boosts 

        else: 

            args += field, self 

        parser = (parser or lucene.QueryParser if isinstance(field, basestring) else lucene.MultiFieldQueryParser)(*args) 

        if op: 

            parser.defaultOperator = getattr(lucene.QueryParser.Operator, op.upper()) 

        for name, value in attrs.items(): 

            setattr(parser, name, value) 

        if isinstance(parser, lucene.MultiFieldQueryParser): 

            return lucene.MultiFieldQueryParser.parse(parser, query) 

        try: 

            return parser.parse(query) 

        finally: 

            if isinstance(parser, lucene.PythonQueryParser): 

                parser.finalize() 

 

class IndexReader(object): 

    """Delegated lucene IndexReader, with a mapping interface of ids to document objects. 

     

    :param reader: lucene IndexReader 

    """ 

    def __init__(self, reader): 

        self.indexReader = reader 

    def __getattr__(self, name): 

        if name == 'indexReader': 

            raise AttributeError(name) 

        return getattr(self.indexReader, name) 

    def __len__(self): 

        return self.numDocs() 

    def __contains__(self, id): 

        return 0 <= id < self.maxDoc() and not self.isDeleted(id) 

    def __iter__(self): 

        return itertools.ifilterfalse(self.isDeleted, xrange(self.maxDoc())) 

    def __getitem__(self, id): 

        return Document(self.document(id)) 

    @property 

    def directory(self): 

        "reader's lucene Directory" 

        return self.indexReader.directory() 

    @property 

    def timestamp(self): 

        "timestamp of reader's last commit" 

        return self.indexCommit.timestamp / 1000.0 

    @property 

    def segments(self): 

        "segment filenames with document counts" 

        return dict((lucene.SegmentReader.cast_(reader).segmentName, reader.numDocs()) for reader in self.sequentialSubReaders) 

    def copy(self, dest, query=None, exclude=None, optimize=False, merge=0): 

        """Copy the index to the destination directory. 

        Optimized to use hard links if the destination is a file system path. 

         

        :param dest: destination directory path or lucene Directory 

        :param query: optional lucene Query to select documents 

        :param exclude: optional lucene Query to exclude documents 

        :param merge: optionally merge into maximum number of segments 

        :param optimize: .. deprecated:: 1.2 use **merge** param instead 

        """ 

        copy(self.indexCommit, dest) 

        with contextlib.closing(IndexWriter(dest)) as writer: 

            if query: 

                writer.delete(Query(lucene.MatchAllDocsQuery) - query) 

            if exclude: 

                writer.delete(exclude) 

            writer.commit() 

            writer.expungeDeletes() 

            if optimize: 

                warnings.warn("Use merge=int instead of optimize parameter.", DeprecationWarning) 

                merge = int(optimize) 

            if merge: 

                writer.optimize(merge) 

            return len(writer) 

    def count(self, name, value): 

        "Return number of documents with given term." 

        return self.docFreq(lucene.Term(name, value)) 

    def names(self, option='all', **attrs): 

        """Return field names, given option description. 

         

        .. versionchanged:: 1.2 lucene 3.6 requires FieldInfo filter attributes instead of option 

        """ 

        if hasattr(lucene.IndexReader, 'getFieldNames'): 

            return list(self.getFieldNames(getattr(self.FieldOption, option.upper()))) 

        fieldinfos = lucene.ReaderUtil.getMergedFieldInfos(self.indexReader).iterator() 

        return [fieldinfo.name for fieldinfo in fieldinfos if all(getattr(fieldinfo, name) == attrs[name] for name in attrs)] 

    def terms(self, name, value='', stop=None, counts=False, **fuzzy): 

        """Generate a slice of term values, optionally with frequency counts. 

        Supports a range of terms, wildcard terms, or fuzzy terms. 

         

        :param name: field name 

        :param value: initial term text or wildcard 

        :param stop: optional upper bound for simple terms 

        :param counts: include frequency counts 

        :param fuzzy: optional keyword arguments for fuzzy terms 

        """ 

        term = lucene.Term(name, value) 

        if fuzzy: 

            args = fuzzy.pop('minSimilarity', 0.5), fuzzy.pop('prefixLength', 0) 

            termenum = lucene.FuzzyTermEnum(self.indexReader, term, *args, **fuzzy) 

        elif '*' in value or '?' in value: 

            termenum = lucene.WildcardTermEnum(self.indexReader, term) 

        else: 

            termenum = lucene.TermRangeTermEnum(self.indexReader, name, value, stop, True, False, None) 

        with contextlib.closing(termenum): 

            term = termenum.term() 

            while term: 

                text = term.text() 

                yield (text, termenum.docFreq()) if counts else text 

                term = termenum.next() and termenum.term() 

    def numbers(self, name, step=0, type=int, counts=False): 

        """Generate decoded numeric term values, optionally with frequency counts. 

         

        :param name: field name 

        :param step: precision step to select terms 

        :param type: int or float 

        :param counts: include frequency counts 

        """ 

        term = lucene.Term(name, chr(ord(' ') + step)) 

        decode = lucene.NumericUtils.prefixCodedToLong 

        convert = lucene.NumericUtils.sortableLongToDouble if issubclass(type, float) else int 

        with contextlib.closing(lucene.PrefixTermEnum(self.indexReader, term)) as termenum: 

            term = termenum.term() 

            while term: 

                value = convert(decode(term.text())) 

                yield (value, termenum.docFreq()) if counts else value 

                term = termenum.next() and termenum.term() 

    def docs(self, name, value, counts=False): 

        "Generate doc ids which contain given term, optionally with frequency counts." 

        with contextlib.closing(self.termDocs(lucene.Term(name, value))) as termdocs: 

            while termdocs.next(): 

                doc = termdocs.doc() 

                yield (doc, termdocs.freq()) if counts else doc 

    def positions(self, name, value, payloads=False): 

        "Generate doc ids and positions which contain given term, optionally only with payloads." 

        array = lucene.JArray_byte('') 

        with contextlib.closing(self.termPositions(lucene.Term(name, value))) as termpositions: 

            while termpositions.next(): 

                doc = termpositions.doc() 

                positions = (termpositions.nextPosition() for n in xrange(termpositions.freq())) 

                if payloads: 

                    yield doc, [(position, termpositions.getPayload(array, 0).string_) for position in positions if termpositions.payloadAvailable] 

                else: 

                    yield doc, list(positions) 

    def comparator(self, name, type='string', parser=None): 

        """Return cache of field values suitable for sorting. 

        Parsing values into an array is memory optimized. 

        Map values into a list for speed optimization. 

         

        :param name: field name 

        :param type: type object or name compatible with FieldCache 

        :param parser: lucene FieldCache.Parser or callable applied to field values 

        """ 

        return SortField(name, type, parser).comparator(self.indexReader) 

    def spans(self, query, positions=False, payloads=False): 

        """Generate docs with occurrence counts for a span query. 

         

        :param query: lucene SpanQuery 

        :param positions: optionally include slice positions instead of counts 

        :param payloads: optionally only include slice positions with payloads 

        """ 

        spans = itertools.takewhile(lucene.Spans.next, itertools.repeat(query.getSpans(self.indexReader))) 

        for doc, spans in itertools.groupby(spans, key=lucene.Spans.doc): 

            if payloads: 

                yield doc, [(span.start(), span.end(), [lucene.JArray_byte.cast_(data).string_ for data in span.payload]) \ 

                    for span in spans if span.payloadAvailable] 

            elif positions: 

                yield doc, [(span.start(), span.end()) for span in spans] 

            else: 

                yield doc, sum(1 for span in spans) # pragma: no branch 

    def termvector(self, id, field, counts=False): 

        "Generate terms for given doc id and field, optionally with frequency counts." 

        tfv = self.getTermFreqVector(id, field) or lucene.QueryTermVector([]) 

        return zip(tfv.terms, tfv.termFrequencies) if counts else iter(tfv.terms) 

    def positionvector(self, id, field, offsets=False): 

        "Generate terms and positions for given doc id and field, optionally with character offsets." 

        tpv = lucene.TermPositionVector.cast_(self.getTermFreqVector(id, field)) 

        for index, term in enumerate(tpv.terms): 

            if offsets: 

                yield term, list(map(operator.attrgetter('startOffset', 'endOffset'), tpv.getOffsets(index))) 

            else: 

                yield term, list(tpv.getTermPositions(index)) 

    def morelikethis(self, doc, *fields, **attrs): 

        """Return MoreLikeThis query for document. 

         

        :param doc: document id or text 

        :param fields: document fields to use, optional for termvectors 

        :param attrs: additional attributes to set on the morelikethis object 

        """ 

        mlt = lucene.MoreLikeThis(self.indexReader) 

        mlt.fieldNames = fields or None 

        for name, value in attrs.items(): 

            setattr(mlt, name, value) 

        return mlt.like(lucene.StringReader(doc) if isinstance(doc, basestring) else doc) 

    def overlap(self, left, right): 

        "Return intersection count of cached filters." 

        count, bitset = 0, getattr(lucene, 'FixedBitSet', lucene.OpenBitSet) 

        for reader in self.sequentialSubReaders: 

            docsets = left.getDocIdSet(reader), right.getDocIdSet(reader) 

            if lucene.DocIdSet.EMPTY_DOCIDSET not in docsets: 

                bits = [bitset.cast_(docset).bits for docset in docsets] 

                count += lucene.BitUtil.pop_intersect(bits[0], bits[1], 0, min(map(len, bits))) 

        return int(count) 

 

class IndexSearcher(lucene.IndexSearcher, IndexReader): 

    """Inherited lucene IndexSearcher, with a mixed-in IndexReader. 

     

    :param directory: directory path, lucene Directory, or lucene IndexReader 

    :param analyzer: lucene Analyzer, default StandardAnalyzer 

    """ 

    def __init__(self, directory, analyzer=None): 

        self.shared = closing() 

        lucene.IndexSearcher.__init__(self, self.shared.reader(directory)) 

        self.owned = closing([self.indexReader]) 

        self.analyzer = self.shared.analyzer(analyzer) 

        self.filters, self.sorters, self.spellcheckers = {}, {}, {} 

        self.termsfilters = set() 

    @classmethod 

    def load(cls, directory, analyzer=None): 

        "Open `IndexSearcher`_ with a lucene RAMDirectory, loading index into memory." 

        ref = closing() 

        self = cls(lucene.RAMDirectory(ref.directory(directory)), analyzer) 

        self.shared.add(self.directory) 

        return self 

    def __del__(self): 

        if hash(self): 

            self.close() 

    def reopen(self, filters=False, sorters=False, spellcheckers=False): 

        """Return current `IndexSearcher`_, only creating a new one if necessary. 

        Any registered :attr:`termsfilters` are also refreshed. 

         

        :param filters: refresh cached facet :attr:`filters` 

        :param sorters: refresh cached :attr:`sorters` with associated parsers 

        :param spellcheckers: refresh cached :attr:`spellcheckers` 

        """ 

        if self.current: 

            return self 

        other = type(self)(self.indexReader.reopen(), self.analyzer) 

        other.decRef() 

        other.shared = self.shared 

        other.filters.update((key, value if isinstance(value, lucene.Filter) else dict(value)) for key, value in self.filters.items()) 

        for termsfilter in self.termsfilters: 

            termsfilter.refresh(other) 

        if filters: 

            other.facets(Query.any(), *other.filters) 

        other.sorters = dict((name, SortField(sorter.field, sorter.typename, sorter.parser)) for name, sorter in self.sorters.items()) 

        if sorters: 

            for field in self.sorters: 

                other.comparator(field) 

        if spellcheckers: 

            for field in self.spellcheckers: 

                other.spellchecker(field) 

        else: 

            other.spellcheckers = dict(self.spellcheckers) 

        return other 

    def __getitem__(self, id): 

        return Document(self.doc(id)) 

    def get(self, id, *fields): 

        "Return `Document`_ with only selected fields loaded." 

        return Document(self.doc(id, lucene.MapFieldSelector(fields))) 

    def parse(self, query, spellcheck=False, **kwargs): 

        if isinstance(query, lucene.Query): 

            return query 

        if spellcheck: 

            kwargs['parser'], kwargs['searcher'] = SpellParser, self 

        return Analyzer.__dict__['parse'](self.analyzer, query, **kwargs) 

    def highlighter(self, query, field, **kwargs): 

        "Return `Highlighter`_ or if applicable `FastVectorHighlighter`_ specific to searcher and query." 

        query = self.parse(query, field=field) 

        vector = field in self.names('termvector_with_position_offset', storeTermVector=True) 

        return (FastVectorHighlighter if vector else Highlighter)(self, query, field, **kwargs) 

    def count(self, *query, **options): 

        """Return number of hits for given query or term. 

         

        :param query: :meth:`search` compatible query, or optimally a name and value 

        :param options: additional :meth:`search` options 

        """ 

        if len(query) > 1: 

            return self.docFreq(lucene.Term(*query)) 

        query = self.parse(*query, **options) if query else lucene.MatchAllDocsQuery() 

        collector = lucene.TotalHitCountCollector() 

        lucene.IndexSearcher.search(self, query, options.get('filter'), collector) 

        return collector.totalHits 

    def search(self, query=None, filter=None, count=None, sort=None, reverse=False, scores=False, maxscore=False, timeout=None, **parser): 

        """Run query and return `Hits`_. 

         

        :param query: query string or lucene Query 

        :param filter: lucene Filter 

        :param count: maximum number of hits to retrieve 

        :param sort: if count is given, lucene Sort parameters, else a callable key 

        :param reverse: reverse flag used with sort 

        :param scores: compute scores for candidate results when using lucene Sort 

        :param maxscore: compute maximum score of all results when using lucene Sort 

        :param timeout: stop search after elapsed number of seconds 

        :param parser: :meth:`Analyzer.parse` options 

        """ 

        query = lucene.MatchAllDocsQuery() if query is None else self.parse(query, **parser) 

        weight = self.createNormalizedWeight(query) if hasattr(self, 'createNormalizedWeight') else query.weight(self) 

        # use custom Collector if all results are necessary, otherwise use lucene's TopDocsCollectors 

        if count is None: 

            collector = Collector() 

        else: 

            count, inorder = min(count, self.maxDoc() or 1), not weight.scoresDocsOutOfOrder() 

            if sort is None: 

                collector = lucene.TopScoreDocCollector.create(count, inorder) 

            else: 

                if isinstance(sort, basestring): 

                    sort = self.sorter(sort, reverse=reverse) 

                if not isinstance(sort, lucene.Sort): 

                    sort = lucene.Sort(sort) 

                collector = lucene.TopFieldCollector.create(sort, count, False, scores, maxscore, inorder) 

        args = [lucene.TimeLimitingCollector.getGlobalCounter()] if hasattr(lucene, 'Counter') else [] 

        results = collector if timeout is None else lucene.TimeLimitingCollector(collector, *(args + [long(timeout * 1000)])) 

        try: 

            lucene.IndexSearcher.search(self, weight, filter, results) 

        except lucene.JavaError as timeout: 

            if not lucene.TimeLimitingCollector.TimeExceededException.instance_(timeout.getJavaException()): 

                raise 

        if isinstance(collector, Collector): 

            ids, scores = collector.sorted(key=sort, reverse=reverse) 

            collector.finalize() 

            stats = len(ids), max(scores or [float('nan')]) 

        else: 

            topdocs = collector.topDocs() 

            scoredocs = list(topdocs.scoreDocs) 

            ids, scores = (list(map(operator.attrgetter(name), scoredocs)) for name in ('doc', 'score')) 

            stats = topdocs.totalHits, topdocs.maxScore 

        stats *= not isinstance(timeout, lucene.JavaError) 

        return Hits(self, ids, scores, *stats) 

    def facets(self, query, *keys): 

        """Return mapping of document counts for the intersection with each facet. 

         

        :param query: query string, lucene Query, or lucene Filter 

        :param keys: field names, term tuples, or any keys to previously cached filters 

        """ 

        counts = collections.defaultdict(dict) 

        if isinstance(query, basestring): 

            query = self.parse(query) 

        if isinstance(query, lucene.Query): 

            query = lucene.QueryWrapperFilter(query) 

        if not isinstance(query, lucene.CachingWrapperFilter): 

            query = lucene.CachingWrapperFilter(query) 

        for key in keys: 

            filters = self.filters.get(key) 

            if isinstance(filters, lucene.Filter): 

                counts[key] = self.overlap(query, filters) 

            else: 

                name, value = (key, None) if isinstance(key, basestring) else key 

                filters = self.filters.setdefault(name, {}) 

                if value is None: 

                    values = filters or self.terms(name) 

                else: 

                    values = [value] if value in filters else self.terms(name, value) 

                for value in values: 

                    if value not in filters: 

                        filters[value] = Query.term(name, value).filter() 

                    counts[name][value] = self.overlap(query, filters[value]) 

        return dict(counts) 

    def sorter(self, field, type='string', parser=None, reverse=False): 

        "Return `SortField`_ with cached attributes if available." 

        sorter = self.sorters.get(field, SortField(field, type, parser, reverse)) 

        return sorter if sorter.reverse == reverse else SortField(sorter.field, sorter.typename, sorter.parser, reverse) 

    def comparator(self, field, type='string', parser=None): 

        "Return :meth:`IndexReader.comparator` using a cached `SortField`_ if available." 

        sorter = self.sorter(field, type, parser) 

        if not hasattr(sorter, 'cache'): 

            sorter.cache = sorter.comparator(self.indexReader) 

        return sorter.cache 

    def distances(self, lng, lat, lngfield, latfield): 

        "Return distance comparator computed from cached lat/lng fields." 

        arrays = (self.comparator(field, 'double') for field in (lngfield, latfield)) 

        return DistanceComparator(lng, lat, *arrays) 

    def spellchecker(self, field): 

        "Return and cache spellchecker for given field." 

        try: 

            return self.spellcheckers[field] 

        except KeyError: 

            return self.spellcheckers.setdefault(field, SpellChecker(self.terms(field, counts=True))) 

    def suggest(self, field, prefix, count=None): 

        "Return ordered suggested words for prefix." 

        return self.spellchecker(field).suggest(prefix, count) 

    def correct(self, field, text, distance=2, minSimilarity=0.5): 

        """Generate potential words ordered by increasing edit distance and decreasing frequency. 

        For optimal performance only iterate the required slice size of corrections. 

         

        :param distance: the maximum edit distance to consider for enumeration 

        :param minSimilarity: threshold for additional fuzzy terms after edits have been exhausted 

        """ 

        spellchecker = self.spellchecker(field) 

        corrections = set() 

        for words in itertools.islice(spellchecker.correct(text), distance + 1): 

            for word in words: 

                yield word 

            corrections.update(words) 

        if minSimilarity: 

            words = set(self.terms(field, text, minSimilarity=minSimilarity)) - corrections 

            for word in sorted(words, key=spellchecker.__getitem__, reverse=True): 

                yield word 

    def match(self, document, *queries): 

        "Generate scores for all queries against a given document mapping." 

        searcher = lucene.MemoryIndex() 

        for name, value in document.items(): 

            if isinstance(value, basestring): 

                value = value, self.analyzer 

            elif isinstance(value, lucene.TokenStream): 

                value = value, 

            searcher.addField(name, *value) 

        for query in queries: 

            yield searcher.search(self.parse(query)) 

 

class MultiSearcher(IndexSearcher): 

    """IndexSearcher with underlying lucene MultiReader. 

     

    :param reader: directory paths, Directories, IndexReaders, or a single MultiReader 

    :param analyzer: lucene Analyzer, default StandardAnalyzer 

    """ 

    def __init__(self, reader, analyzer=None): 

        shared = closing() 

        if not lucene.MultiReader.instance_(reader): 

            reader = lucene.MultiReader(list(map(shared.reader, reader))) 

            owned = closing([reader]) # decRef when finished 

        IndexSearcher.__init__(self, reader, analyzer) 

        self.shared.update(shared) 

        shared.clear() 

    @property 

    def version(self): 

        return sum(map(operator.attrgetter('version'), self.sequentialSubReaders)) 

    @property 

    def timestamp(self): 

        return max(IndexReader(reader).timestamp for reader in self.sequentialSubReaders) 

    def overlap(self, *filters): 

        return sum(IndexReader(reader).overlap(*filters) for reader in self.sequentialSubReaders) 

 

class IndexWriter(lucene.IndexWriter): 

    """Inherited lucene IndexWriter. 

    Supports setting fields parameters explicitly, so documents can be represented as dictionaries. 

     

    :param directory: directory path or lucene Directory, default RAMDirectory 

    :param mode: file mode (rwa), except updating (+) is implied 

    :param analyzer: lucene Analyzer, default StandardAnalyzer 

    :param version: lucene Version argument passed to IndexWriterConfig or StandardAnalyzer, default is latest 

    :param attrs: additional attributes to set on IndexWriterConfig 

    """ 

    __len__ = lucene.IndexWriter.numDocs 

    __del__ = IndexSearcher.__dict__['__del__'] 

    parse = IndexSearcher.__dict__['parse'] 

    def __init__(self, directory=None, mode='a', analyzer=None, version=None, **attrs): 

        self.shared = closing() 

        if version is None: 

            version = lucene.Version.values()[-1] 

        config = lucene.IndexWriterConfig(version, self.shared.analyzer(analyzer, version)) 

        config.openMode = lucene.IndexWriterConfig.OpenMode.values()['wra'.index(mode)] 

        for name, value in attrs.items(): 

            setattr(config, name, value) 

        config.indexDeletionPolicy = self.policy = lucene.SnapshotDeletionPolicy(config.indexDeletionPolicy) 

        lucene.IndexWriter.__init__(self, self.shared.directory(directory), config) 

        self.fields = {} 

    def set(self, name, cls=Field, **params): 

        """Assign parameters to field name. 

         

        :param name: registered name of field 

        :param cls: optional `Field`_ constructor 

        :param params: store,index,termvector options compatible with `Field`_ 

        """ 

        self.fields[name] = cls(name, **params) 

    def document(self, document=(), boost=1.0, **terms): 

        "Return lucene Document from mapping of field names to one or multiple values." 

        doc = lucene.Document() 

        doc.boost = boost 

        for name, values in dict(document, **terms).items(): 

            if isinstance(values, Atomic): 

                values = values, 

            for field in self.fields[name].items(*values): 

                doc.add(field) 

        return doc 

    def add(self, document=(), **terms): 

        "Add :meth:`document` to index with optional boost." 

        self.addDocument(self.document(document, **terms)) 

    def update(self, name, value='', document=(), **terms): 

        "Atomically delete documents which match given term and add the new :meth:`document` with optional boost." 

        doc = self.document(document, **terms) 

        self.updateDocument(lucene.Term(name, *[value] if value else doc.getValues(name)), doc) 

    def delete(self, *query, **options): 

        """Remove documents which match given query or term. 

         

        :param query: :meth:`IndexSearcher.search` compatible query, or optimally a name and value 

        :param options: additional :meth:`Analyzer.parse` options 

        """ 

        parse = self.parse if len(query) == 1 else lucene.Term 

        self.deleteDocuments(parse(*query, **options)) 

    def __iadd__(self, directory): 

        "Add directory (or reader, searcher, writer) to index." 

        ref = closing() 

        directory = ref.directory(directory) 

        self.addIndexes([directory if isinstance(directory, lucene.Directory) else directory.directory]) 

        return self 

    @contextlib.contextmanager 

    def snapshot(self, id=''): 

        """Return context manager of an index commit snapshot. 

         

        :param id: optional unique snapshot id 

        """ 

        commit = self.policy.snapshot(id) 

        try: 

            yield commit 

        finally: 

            self.policy.release(id) 

 

class Indexer(IndexWriter): 

    """An all-purpose interface to an index. 

    Creates an `IndexWriter`_ with a delegated `IndexSearcher`_. 

     

    :param nrt: optionally use a near real-time searcher 

    """ 

    def __init__(self, directory=None, mode='a', analyzer=None, version=None, nrt=False, **attrs): 

        IndexWriter.__init__(self, directory, mode, analyzer, version, **attrs) 

        IndexWriter.commit(self) 

        self.nrt = nrt 

        self.indexSearcher = IndexSearcher(self if nrt else self.directory, self.analyzer) 

    def __getattr__(self, name): 

        if name == 'indexSearcher': 

            raise AttributeError(name) 

        return getattr(self.indexSearcher, name) 

    def __contains__(self, id): 

        return id in self.indexSearcher 

    def __iter__(self): 

        return iter(self.indexSearcher) 

    def __getitem__(self, id): 

        return self.indexSearcher[id] 

    def refresh(self, **caches): 

        "Store refreshed searcher with :meth:`IndexSearcher.reopen` caches." 

        self.indexSearcher = self.indexSearcher.reopen(**caches) 

    def commit(self, expunge=False, optimize=False, merge=False, **caches): 

        """Commit writes and :meth:`refresh` searcher. 

         

        :param merge: merge segments with deletes, or optionally specify maximum number of segments 

        :param expunge,optimize: .. deprecated:: 1.2 use **merge** param instead 

        """ 

        IndexWriter.commit(self) 

        if expunge: 

            warnings.warn("Use merge=True instead of expunge parameter.", DeprecationWarning) 

            self.expungeDeletes() 

            IndexWriter.commit(self) 

        if optimize: 

            warnings.warn("Use merge=int instead of optimize parameter.", DeprecationWarning) 

            merge = int(optimize) 

        if merge: 

            if isinstance(merge, bool): 

                self.expungeDeletes() 

            else: 

                self.optimize(merge) 

            IndexWriter.commit(self) 

        self.refresh(**caches) 

 

class ParallelIndexer(Indexer): 

    """Indexer which tracks a unique identifying field. 

    Handles atomic updates of rapidly changing fields, managing :attr:`termsfilters`. 

    """ 

    def __init__(self, field, *args, **kwargs): 

        Indexer.__init__(self, *args, **kwargs) 

        self.field = field 

        self.set(field, index=True, omitNorms=True) 

        self.termsfilters = {} 

    def termsfilter(self, filter, *others): 

        "Return `TermsFilter`_ synced to given filter and optionally associated with other indexers." 

        terms = self.sorter(self.field).terms(filter, *self.sequentialSubReaders) 

        termsfilter = self.termsfilters[filter] = TermsFilter(self.field, terms) 

        for other in others: 

            termsfilter.refresh(other) 

            other.termsfilters.add(termsfilter) 

        return termsfilter 

    def update(self, value, document=(), **terms): 

        "Atomically update document based on unique field." 

        terms[self.field] = value 

        self.updateDocument(lucene.Term(self.field, value), self.document(document, **terms)) 

    def refresh(self, **caches): 

        "Store refreshed searcher and synchronize :attr:`termsfilters`." 

        sorter, segments = self.sorter(self.field), self.segments 

        searcher = self.indexSearcher.reopen(**caches) 

        readers = [reader for reader in searcher.sequentialSubReaders if lucene.SegmentReader.cast_(reader).segmentName not in segments] 

        terms = list(itertools.chain.from_iterable(IndexReader(reader).terms(self.field) for reader in readers)) 

        for filter, termsfilter in self.termsfilters.items(): 

            if terms: 

                termsfilter.update(terms, op='andNot', cache=not self.nrt) 

            if readers: 

                termsfilter.update(sorter.terms(filter, *readers), cache=not self.nrt) 

        self.indexSearcher = searcher