cleaned up wildcard imports

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