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nltk
Commit 46eea71f by Steven Bird
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cleaned up wildcard imports

parent 7862c9db
Showing with 104 additions and 81 deletions
nltk/app/chartparser_app.py
......@@ -44,14 +44,19 @@ import Tkinter
import math
import string
import os.path
import tkFont, tkMessageBox
from nltk.parse.chart import *
from nltk.parse.chart import (BottomUpPredictCombineRule, BottomUpPredictRule,
Chart, LeafEdge, LeafInitRule, SingleEdgeFundamentalRule,
SteppingChartParser, TopDownInitRule, TopDownPredictRule,
TreeEdge)
from nltk.tree import Tree
from nltk.grammar import Nonterminal, parse_cfg
from nltk.util import in_idle
from nltk.draw.util import *
from nltk.draw.cfg import CFGEditor
from nltk.draw.tree import tree_to_treesegment, TreeSegmentWidget
from nltk.draw.util import (CanvasFrame, ColorizedList,
EntryDialog, MutableOptionMenu,
ShowText, SymbolWidget)
from nltk.draw import CFGEditor, tree_to_treesegment, TreeSegmentWidget
# Known bug: ChartView doesn't handle edges generated by epsilon
# productions (e.g., [Production: PP -> ]) very well.
......
nltk/app/chunkparser_app.py
......@@ -21,11 +21,17 @@ import time
import textwrap
import re
import random
import tkFileDialog, tkFont
from Tkinter import (Button, Canvas, Checkbutton,
Frame, IntVar, Label, Menu,
Scrollbar, Text, Tk)
import nltk
from nltk.tree import Tree
from nltk.util import in_idle
from nltk.draw.util import *
from nltk.draw.util import ShowText
class RegexpChunkApp(object):
"""
......
nltk/app/collocations_app.py
......@@ -7,12 +7,17 @@
#
import threading
import tkFont
from Tkinter import (Button, END, Frame, IntVar, LEFT, Label, Menu,
OptionMenu, SUNKEN, Scrollbar, StringVar,
Text, Tk)
import nltk
from nltk.corpus import (cess_cat, brown, nps_chat, treebank, sinica_treebank, alpino,
indian, floresta, mac_morpho, machado, cess_esp)
from nltk.util import in_idle
from nltk.probability import FreqDist
from nltk.text import Text as TextDomain
from nltk.draw.util import *
CORPUS_LOADED_EVENT = '<<CL_EVENT>>'
ERROR_LOADING_CORPUS_EVENT = '<<ELC_EVENT>>'
......@@ -20,39 +25,39 @@ ERROR_LOADING_CORPUS_EVENT = '<<ELC_EVENT>>'
_DEFAULT = 'English: Brown Corpus (Humor)'
_CORPORA = {
'Catalan: CESS-CAT Corpus':
lambda: nltk.corpus.cess_cat.words(),
lambda: cess_cat.words(),
'English: Brown Corpus':
lambda: nltk.corpus.brown.words(),
lambda: brown.words(),
'English: Brown Corpus (Press)':
lambda: nltk.corpus.brown.words(categories=['news', 'editorial', 'reviews']),
lambda: brown.words(categories=['news', 'editorial', 'reviews']),
'English: Brown Corpus (Religion)':
lambda: nltk.corpus.brown.words(categories='religion'),
lambda: brown.words(categories='religion'),
'English: Brown Corpus (Learned)':
lambda: nltk.corpus.brown.words(categories='learned'),
lambda: brown.words(categories='learned'),
'English: Brown Corpus (Science Fiction)':
lambda: nltk.corpus.brown.words(categories='science_fiction'),
lambda: brown.words(categories='science_fiction'),
'English: Brown Corpus (Romance)':
lambda: nltk.corpus.brown.words(categories='romance'),
lambda: brown.words(categories='romance'),
'English: Brown Corpus (Humor)':
lambda: nltk.corpus.brown.words(categories='humor'),
lambda: brown.words(categories='humor'),
'English: NPS Chat Corpus':
lambda: nltk.corpus.nps_chat.words(),
lambda: nps_chat.words(),
'English: Wall Street Journal Corpus':
lambda: nltk.corpus.treebank.words(),
lambda: treebank.words(),
'Chinese: Sinica Corpus':
lambda: nltk.corpus.sinica_treebank.words(),
lambda: sinica_treebank.words(),
'Dutch: Alpino Corpus':
lambda: nltk.corpus.alpino.words(),
lambda: alpino.words(),
'Hindi: Indian Languages Corpus':
lambda: nltk.corpus.indian.words(files='hindi.pos'),
lambda: indian.words(files='hindi.pos'),
'Portuguese: Floresta Corpus (Portugal)':
lambda: nltk.corpus.floresta.words(),
lambda: floresta.words(),
'Portuguese: MAC-MORPHO Corpus (Brazil)':
lambda: nltk.corpus.mac_morpho.words(),
lambda: mac_morpho.words(),
'Portuguese: Machado Corpus (Brazil)':
lambda: nltk.corpus.machado.words(),
lambda: machado.words(),
'Spanish: CESS-ESP Corpus':
lambda: nltk.corpus.cess_esp.words(),
lambda: cess_esp.words()
}
class CollocationsView:
......@@ -321,8 +326,8 @@ class CollocationsModel:
print e
self.model.notify_listeners(ERROR_LOADING_CORPUS_EVENT)
def collocations():
colloc_strings = [w1 + ' ' + w2 for w1, w2 in self._collocations[:num]]
#def collocations():
# colloc_strings = [w1 + ' ' + w2 for w1, w2 in self._collocations[:num]]
def app():
c = CollocationsView()
......
nltk/app/concordance_app.py
......@@ -9,10 +9,15 @@
import re
import threading
import tkFont
from Tkinter import (Tk, Button, END, Entry, Frame, IntVar, LEFT,
Label, Menu, OptionMenu, SUNKEN, Scrollbar,
StringVar, Text)
import nltk
from nltk.corpus import (cess_cat, brown, nps_chat, treebank, sinica_treebank,
alpino, indian, floresta, mac_morpho, cess_esp)
from nltk.util import in_idle
from nltk.draw.util import *
from nltk.draw.util import ShowText
WORD_OR_TAG = '[^/ ]+'
BOUNDARY = r'\b'
......@@ -28,53 +33,53 @@ ERROR_LOADING_CORPUS_EVENT = '<<ELC_EVENT>>'
_DEFAULT = 'English: Brown Corpus (Humor, simplified)'
_CORPORA = {
'Catalan: CESS-CAT Corpus (simplified)':
lambda: nltk.corpus.cess_cat.tagged_sents(simplify_tags=True),
lambda: cess_cat.tagged_sents(simplify_tags=True),
'English: Brown Corpus':
lambda: nltk.corpus.brown.tagged_sents(),
lambda: brown.tagged_sents(),
'English: Brown Corpus (simplified)':
lambda: nltk.corpus.brown.tagged_sents(simplify_tags=True),
lambda: brown.tagged_sents(simplify_tags=True),
'English: Brown Corpus (Press, simplified)':
lambda: nltk.corpus.brown.tagged_sents(categories=['news', 'editorial', 'reviews'], simplify_tags=True),
lambda: brown.tagged_sents(categories=['news', 'editorial', 'reviews'], simplify_tags=True),
'English: Brown Corpus (Religion, simplified)':
lambda: nltk.corpus.brown.tagged_sents(categories='religion', simplify_tags=True),
lambda: brown.tagged_sents(categories='religion', simplify_tags=True),
'English: Brown Corpus (Learned, simplified)':
lambda: nltk.corpus.brown.tagged_sents(categories='learned', simplify_tags=True),
lambda: brown.tagged_sents(categories='learned', simplify_tags=True),
'English: Brown Corpus (Science Fiction, simplified)':
lambda: nltk.corpus.brown.tagged_sents(categories='science_fiction', simplify_tags=True),
lambda: brown.tagged_sents(categories='science_fiction', simplify_tags=True),
'English: Brown Corpus (Romance, simplified)':
lambda: nltk.corpus.brown.tagged_sents(categories='romance', simplify_tags=True),
lambda: brown.tagged_sents(categories='romance', simplify_tags=True),
'English: Brown Corpus (Humor, simplified)':
lambda: nltk.corpus.brown.tagged_sents(categories='humor', simplify_tags=True),
lambda: brown.tagged_sents(categories='humor', simplify_tags=True),
'English: NPS Chat Corpus':
lambda: nltk.corpus.nps_chat.tagged_posts(),
lambda: nps_chat.tagged_posts(),
'English: NPS Chat Corpus (simplified)':
lambda: nltk.corpus.nps_chat.tagged_posts(simplify_tags=True),
lambda: nps_chat.tagged_posts(simplify_tags=True),
'English: Wall Street Journal Corpus':
lambda: nltk.corpus.treebank.tagged_sents(),
lambda: treebank.tagged_sents(),
'English: Wall Street Journal Corpus (simplified)':
lambda: nltk.corpus.treebank.tagged_sents(simplify_tags=True),
lambda: treebank.tagged_sents(simplify_tags=True),
'Chinese: Sinica Corpus':
lambda: nltk.corpus.sinica_treebank.tagged_sents(),
lambda: sinica_treebank.tagged_sents(),
'Chinese: Sinica Corpus (simplified)':
lambda: nltk.corpus.sinica_treebank.tagged_sents(simplify_tags=True),
lambda: sinica_treebank.tagged_sents(simplify_tags=True),
'Dutch: Alpino Corpus':
lambda: nltk.corpus.alpino.tagged_sents(),
lambda: alpino.tagged_sents(),
'Dutch: Alpino Corpus (simplified)':
lambda: nltk.corpus.alpino.tagged_sents(simplify_tags=True),
lambda: alpino.tagged_sents(simplify_tags=True),
'Hindi: Indian Languages Corpus':
lambda: nltk.corpus.indian.tagged_sents(files='hindi.pos'),
lambda: indian.tagged_sents(files='hindi.pos'),
'Hindi: Indian Languages Corpus (simplified)':
lambda: nltk.corpus.indian.tagged_sents(files='hindi.pos', simplify_tags=True),
lambda: indian.tagged_sents(files='hindi.pos', simplify_tags=True),
'Portuguese: Floresta Corpus (Portugal)':
lambda: nltk.corpus.floresta.tagged_sents(),
lambda: floresta.tagged_sents(),
'Portuguese: Floresta Corpus (Portugal, simplified)':
lambda: nltk.corpus.floresta.tagged_sents(simplify_tags=True),
lambda: floresta.tagged_sents(simplify_tags=True),
'Portuguese: MAC-MORPHO Corpus (Brazil)':
lambda: nltk.corpus.mac_morpho.tagged_sents(),
lambda: mac_morpho.tagged_sents(),
'Portuguese: MAC-MORPHO Corpus (Brazil, simplified)':
lambda: nltk.corpus.mac_morpho.tagged_sents(simplify_tags=True),
lambda: mac_morpho.tagged_sents(simplify_tags=True),
'Spanish: CESS-ESP Corpus (simplified)':
lambda: nltk.corpus.cess_esp.tagged_sents(simplify_tags=True),
lambda: cess_esp.tagged_sents(simplify_tags=True),
}
class ConcordanceSearchView(object):
......
nltk/app/rdparser_app.py
......@@ -67,13 +67,15 @@ Keyboard Shortcuts::
"""
import string
import tkFont
from Tkinter import (Listbox, IntVar, Button,
Frame, Label, Menu, Scrollbar, Tk)
import nltk
from nltk.tree import Tree
from nltk.util import in_idle
from nltk.draw.util import *
from nltk.draw.tree import *
from nltk.draw.cfg import *
from nltk.parse import SteppingRecursiveDescentParser
from nltk.draw.util import TextWidget, ShowText, CanvasFrame, EntryDialog
from nltk.draw import CFGEditor, TreeSegmentWidget, tree_to_treesegment
class RecursiveDescentApp(object):
"""
......@@ -87,7 +89,7 @@ class RecursiveDescentApp(object):
"""
def __init__(self, grammar, sent, trace=0):
self._sent = sent
self._parser = nltk.parse.SteppingRecursiveDescentParser(grammar, trace)
self._parser = SteppingRecursiveDescentParser(grammar, trace)
# Set up the main window.
self._top = Tk()
......
nltk/app/srparser_app.py
......@@ -76,14 +76,16 @@ Possible future improvements:
"""
import string
import tkFont
from Tkinter import (IntVar, Listbox, Button, Frame, Label, Menu,
Scrollbar, Tk)
import nltk
from nltk.tree import Tree
from nltk.parse import SteppingShiftReduceParser
from nltk.util import in_idle
from nltk.draw.util import *
from nltk.draw.tree import *
from nltk.draw.cfg import CFGEditor
from nltk.draw.util import CanvasFrame, EntryDialog, ShowText, TextWidget
from nltk.draw import CFGEditor, TreeSegmentWidget, tree_to_treesegment
class ShiftReduceApp(object):
"""
A graphical tool for exploring the shift-reduce parser. The tool
......@@ -96,7 +98,7 @@ class ShiftReduceApp(object):
"""
def __init__(self, grammar, sent, trace=0):
self._sent = sent
self._parser = nltk.parse.SteppingShiftReduceParser(grammar, trace)
self._parser = SteppingShiftReduceParser(grammar, trace)
# Set up the main window.
self._top = Tk()
......
nltk/chat/__init__.py
......@@ -16,7 +16,7 @@ These chatbots may not work using the windows command line or the
windows IDLE GUI.
"""
from util import *
from util import Chat
from eliza import eliza_chat
from iesha import iesha_chat
from rude import rude_chat
......
nltk/chat/eliza.py
......@@ -12,7 +12,7 @@
# a translation table used to convert things you say into things the
# computer says back, e.g. "I am" --> "you are"
from util import *
from util import Chat, reflections
# a table of response pairs, where each pair consists of a
# regular expression, and a list of possible responses,
......
nltk/chat/iesha.py
......@@ -11,7 +11,7 @@ anime junky that frequents YahooMessenger or MSNM.
All spelling mistakes and flawed grammar are intentional.
"""
from util import *
from util import Chat
reflections = {
"am" : "r",
......
nltk/chat/rude.py
......@@ -5,7 +5,7 @@
# URL: <http://www.nltk.org/>
# For license information, see LICENSE.TXT
from util import *
from util import Chat, reflections
pairs = (
(r'We (.*)',
......
nltk/chat/suntsu.py
......@@ -5,7 +5,7 @@
# URL: <http://www.nltk.org/>
# For license information, see LICENSE.TXT
from util import *
from util import Chat, reflections
"""
Tsu bot responds to all queries with a Sun Tsu sayings
......
nltk/chat/zen.py
......@@ -36,7 +36,7 @@ respond to a question by asking a different question, in much the same way
as Eliza.
"""
from util import *
from util import Chat, reflections
# responses are matched top to bottom, so non-specific matches occur later
# for each match, a list of possible responses is provided
......
nltk/cluster/__init__.py
......@@ -79,7 +79,8 @@ objects. nltk_contrib.unimelb.tacohn.SparseArrays may be used for
efficiency when required.
"""
from util import VectorSpaceClusterer, Dendrogram
from util import (VectorSpaceClusterer, Dendrogram,
euclidean_distance, cosine_distance)
from kmeans import KMeansClusterer
from gaac import GAAClusterer
from em import EMClusterer
nltk/draw/cfg.py
......@@ -52,16 +52,15 @@ Operations:
import re
from Tkinter import (Button, Canvas, ColorizedList,
Entry, Frame, IntVar, Label, Scrollbar,
ShowText, SymbolWidget, Text, TextWidget,
Tk, Toplevel)
from Tkinter import (Button, Canvas, Entry, Frame, IntVar, Label,
Scrollbar, Text, Tk, Toplevel)
from nltk.grammar import (ContextFreeGrammar, parse_cfg_production,
Nonterminal, nonterminals)
from nltk.tree import Tree
from nltk.draw.tree import TreeSegmentWidget, tree_to_treesegment
form nltk.draw.util import CanvasFrame
from nltk.draw.util import (CanvasFrame, ColorizedList, ShowText,
SymbolWidget, TextWidget)
######################################################################
# Production List
......
nltk/draw/tree.py
......@@ -13,13 +13,12 @@ Graphically display a Tree.
import sys
from Tkinter import (BoxWidget, CanvasFrame, IntVar,
Menu, OvalWidget, ParenWidget, TextWidget, Tk,
canvas)
from Tkinter import IntVar, Menu, Tk
from nltk.util import in_idle
from nltk.tree import Tree
from nltk.draw.util import CanvasWidget
from nltk.draw.util import (CanvasFrame, CanvasWidget, BoxWidget,
TextWidget, ParenWidget, OvalWidget)
##//////////////////////////////////////////////////////
## Tree Segment
......
nltk/draw/util.py
......@@ -37,8 +37,7 @@ homepage<http://www.ags.uni-sb.de/~konrad/clig.html>}.
"""
from Tkinter import (Button, Canvas, Entry, Frame, Label, Menu, Menubutton,
RAISED, Scrollbar, StringVar, Text, Tk, Toplevel,
Widget, value)
RAISED, Scrollbar, StringVar, Text, Tk, Toplevel, Widget)
import tkFont, tkMessageBox, tkFileDialog
......
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