def testRequire(self):
require("commons-lang:commons-lang:2.6")
from org.apache.commons.lang import StringUtils
self.assertEquals(StringUtils.removeStart("jip rocks", "jip"),
" rocks")
self.assertEquals(StringUtils.reverse("jip rocks"), "skcor pij")
#!/usr/bin/env jython
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
from de.tudarmstadt.ukp.dkpro.core.api.segmentation.type import *
from de.tudarmstadt.ukp.dkpro.core.api.syntax.type import *
# uimaFIT imports
from org.apache.uima.fit.util.JCasUtil import *
from org.apache.uima.fit.pipeline.SimplePipeline import *
from org.apache.uima.fit.factory.AnalysisEngineFactory import *
from org.apache.uima.fit.factory import JCasFactory
# First, define a class which helps us to create an own document reader
class MyDocumentReader(object):
def internalReadDocument(self):
""" Implement here your document reader. This example returns sentences from a defined array with sentences.
Returns: A list, first element is the document language, second is the document text
"""
documents = ['This is a test.', 'To test my first own reader.', 'This function returns each sentence as a new jcas. This jcas is then processed by different engines. The output is written to the console.']
documentLanguage = "en"
for documentText in documents:
yield documentLanguage, documentText
"""
Reads in a specific text file and runs first the OpenNlpSegmenter and then the OpenNlpPosTagger.
Run by: jython pos.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
# Text Reader
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.io.text import *
# OpenNLP
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
# Dependencies for selecting specific annotations like sentences/tokens
from de.tudarmstadt.ukp.dkpro.core.api.segmentation.type import *
from de.tudarmstadt.ukp.dkpro.core.api.syntax.type import *
# uimaFIT imports
from org.apache.uima.fit.util.JCasUtil import *
def testRequire(self):
require("commons-lang:commons-lang:2.6")
from org.apache.commons.lang import StringUtils
self.assertEquals(StringUtils.removeStart("jip rocks", "jip"), " rocks")
self.assertEquals(StringUtils.reverse("jip rocks"), "skcor pij")
"""
Reads in a specific text file and runs the different existent segmenter for this file.
Run by: jython segmentation.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
# Text Reader
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.io.text import *
# BreakIteratorSegmenter
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.tokit-asl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.tokit import *
# OpenNlp
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
"""
Reads in a specific text file and prints a parse tree following the conventions of Penn TreeBank
Run by: jython parsing_constituency.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
# Text Reader
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.io.text import *
# OpenNlp
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
# StanfordNlp
require(
'de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.stanfordnlp-gpl:1.6.1'
)
from de.tudarmstadt.ukp.dkpro.core.stanfordnlp import *
"""
Reads in a specific text file
Run by: jython text_reader.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
require("de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1")
from de.tudarmstadt.ukp.dkpro.core.io.text import *
# uimaFIT imports
from org.apache.uima.fit.util.JCasUtil import *
from org.apache.uima.fit.pipeline.SimplePipeline import *
from org.apache.uima.fit.factory.CollectionReaderFactory import *
from org.apache.uima.fit.factory.AnalysisEngineFactory import *
# Access to commandline arguments
import sys
# Check that all necessary arguments have been passed to the program
if len(sys.argv) < 3:
"""
Reads in a specific text file and runs first the OpenNlpSegmenter and then the SnowballStemmer.
Run by: jython stemming.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
# Text Reader
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.io.text import *
# OpenNlp
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
# Snowball
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.snowball-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.snowball import *
# Dependencies for selecting specific annotations like sentences/tokens
from de.tudarmstadt.ukp.dkpro.core.api.segmentation.type import *
from de.tudarmstadt.ukp.dkpro.core.api.syntax.type import *
# uimaFIT imports
from jip.embed import require
require('org.piccolo2d:piccolo2d-core:1.3.1')
require('org.piccolo2d:piccolo2d-extras:1.3.1')
import java.awt.BasicStroke
import java.awt.Color
from java.awt.event import KeyEvent, InputEvent
from edu.umd.cs.piccolo import PCanvas
from edu.umd.cs.piccolo.event import PBasicInputEventHandler
from edu.umd.cs.piccolo.event import PInputEvent, PInputEventFilter
from edu.umd.cs.piccolo.nodes import PPath
from edu.umd.cs.piccolox import PFrame
class InteractionFrame(PFrame):
def initialize(self):
# Remove the pan event handler that is installed by default so that it
# does not conflict with our new squiggle handler.
self.canvas.panEventHandler = None
# Create a squiggle handler and register it with the Canvas.
squiggleHandler = SquiggleHandler(self.canvas)
self.canvas.addInputEventListener(squiggleHandler)
# Create a green rectangle node.
nodeGreen = PPath.createRectangle(0, 0, 100, 100)
nodeGreen.paint = java.awt.Color.GREEN
self.canvas.layer.addChild(nodeGreen)
# Attach event handler directly to the node.
"""
Reads in a specific text file and prints a parse tree following the conventions of Penn TreeBank
Run by: jython parsing_constituency.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
# Text Reader
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.io.text import *
# OpenNlp
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
# StanfordNlp
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.stanfordnlp-gpl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.stanfordnlp import *
# Berkeley
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.berkeleyparser-gpl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.berkeleyparser import *
# Dependencies for selecting specific annotations like sentences/tokens
#!/usr/bin/env jython
"""
Reads in a specific text file and runs first the OpenNlpSegmenter and then the TreeTagger for POS-tagging and lemmatisation.
Run by: jython pos.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1')
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.treetagger-asl:1.6.1')
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
from de.tudarmstadt.ukp.dkpro.core.treetagger import *
from de.tudarmstadt.ukp.dkpro.core.io.text import *
from de.tudarmstadt.ukp.dkpro.core.api.segmentation.type import *
# uimaFIT imports
from org.apache.uima.fit.util.JCasUtil import *
from org.apache.uima.fit.pipeline.SimplePipeline import *
from org.apache.uima.fit.factory.CollectionReaderFactory import *
from org.apache.uima.fit.factory.AnalysisEngineFactory import *
# Access to commandline arguments
import sys
# Check that all necessary arguments have been passed to the program
from jip.embed import require
require('org.simplericity.macify:macify:1.6')
from java.lang import Runnable, System
from org.simplericity.macify.eawt import DefaultApplication
from .core import Nengo
class RunWrapper(Runnable):
def __init__(self, func, *args, **kwargs):
self.func = func
self.args = args
self.kwargs = kwargs
def run(self):
self.func(*self.args, **self.kwargs)
def start():
System.setProperty("apple.laf.useScreenMenuBar", "true")
System.setProperty("com.apple.mrj.application.apple.menu.about.name",
"Nengo")
application = DefaultApplication()
nengo = Nengo()
nengo.application = application
if __name__ == '__main__':
start()
"""Consider!!
"""
Reads in a specific text file and runs the different existent segmenter for this file.
Run by: jython segmentation.py <filename> <language-code>
"""
# Fix classpath scanning - otherise uimaFIT will not find the UIMA types
from java.lang import Thread
from org.python.core.imp import *
Thread.currentThread().contextClassLoader = getSyspathJavaLoader()
# Dependencies and imports for DKPro modules
from jip.embed import require
# Text Reader
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.io.text-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.io.text import *
# BreakIteratorSegmenter
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.tokit-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.tokit import *
# OpenNlp
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.opennlp-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.opennlp import *
# ClearNlp
require('de.tudarmstadt.ukp.dkpro.core:de.tudarmstadt.ukp.dkpro.core.clearnlp-asl:1.6.1')
from de.tudarmstadt.ukp.dkpro.core.clearnlp import *
# StanfordNlp
