def addToDictionary(self, document: Document):
for k in document.getFields():
token = document.getField(k).tokenStream(SimpleAnalyzer())
token.reset()
while token.incrementToken():
term = token.getTerm()
self.dictionary.add(term.text)
token.close()
def test_create_from_text(self):
text = 'Hello world. Hello France.'
doc = Document.create_from_text(text)
self.assertEquals(len(doc.tokens), 6, 'erreur sur document')
self.assertEquals(len(doc.sentences), 0, 'erreur')
filename = os.path.join(DATA_DIR, "test.txt")
def addDocument(self, document: Document):
fields = document.getFields()
numVectorFields = len(fields.keys())
self.codecs.startDocument(numVectorFields)
for fieldInfo in fields:
tokenStream = document.getField(fieldInfo).tokenStream(self.config.analyzer) # not assure if tokenStream will choose the right function automatically
tokenStream.reset()
termDict = defaultdict(list)
while tokenStream.incrementToken():
term = tokenStream.getTerm()
position = tokenStream.getPosition()
termDict[term].append(position)
self.codecs.startField(fieldInfo,len(termDict))
for term in termDict.keys():
positions = termDict.get(term)
self.codecs.startTerm(term,len(positions))
for position, startOffset, endOffset in positions:
self.codecs.addPosition(position, startOffset, endOffset)
self.codecs.finishTerm()
self.codecs.finishField()
self.codecs.finishDocument()
self.numOfDocs += 1 # interesting about Python
self.dictionary.addToDictionary(document)
def addArticle(self, w, article):
global documentMap
strTitle = str(article.readline(), 'latin1')
strArticle = ''
for line in article:
strArticle += str(line, 'latin1')
strAbstract = summarize('', strTitle, strArticle)
document = Document()
document.add(StringField('title', strTitle))
document.add(TextField('abstract', strAbstract))
document.add(StringField('contents', strArticle))
w.addDocument(document)
self.documentMap.append( (strTitle, strAbstract, strArticle) )
def __init__(self, data=None, degree=1): """ initialize object @param data: path to data file @param degree: degree of polynomial to solve (e.g., quadratic) """ self.independent_variables = Matrix() self.dependent_variables = Matrix() self.coefficients = list() # make sure degree is at least 1 if degree < 1: degree = 1 # if data is specified, load it and set independent and dependent variables accordingly if data is not None: document = Document().open(filePath=data,splitLines=True,splitTabs=True) append_to_independent_variables = self.independent_variables.append append_to_dependent_variables = self.dependent_variables.append # loop through the rows in the document to get data for row in document: new_row = [float(value) for value in row] dependent_variable_row = [new_row[-1]] independent_variable_row = [new_row[0]**i for i in xrange(degree+1)] #print independent_variable_row, new_row, dependent_variable_row #append_to_independent_variables(new_row[:-1]) append_to_independent_variables(independent_variable_row) #append_to_dependent_variables(new_row[-1:]) append_to_dependent_variables(dependent_variable_row) #print self.independent_variables.matrix self.coefficients = self.getCoefficients([self.independent_variables, self.dependent_variables])
def read(self, content: str) -> Document:
return Document().create_from_text(content)