normalise whitespace

nltk/test/data.doctest

@@ -91,7 +91,7 @@ to format names is specified by `nltk.data.AUTO_FORMATS`:
     .cfg     -> cfg
     .fcfg    -> fcfg
     .fol     -> fol
-	.json    -> json
+    .json    -> json
     .logic   -> logic
     .pcfg    -> pcfg
     .pickle  -> pickle

nltk/test/gluesemantics.doctest

@@ -70,9 +70,9 @@ Test BindingDict
     >>> all12.sort()
     >>> print(all12)
     ['F: f', 'G: f', 'H: h']
-	
-	>>> BindingDict([(F,f),(G,g),(H,h)]) == BindingDict({F:f, G:g, H:h})
-	True
+
+    >>> BindingDict([(F,f),(G,g),(H,h)]) == BindingDict({F:f, G:g, H:h})
+    True
 
     >>> d4 = BindingDict({F: f})
     >>> try: d4[F] = g
@@ -87,37 +87,37 @@ Test Unify
     Cannot unify f with g given {}
 
     >>> f.unify(G, BindingDict()) == BindingDict({G: f})
-	True
+    True
     >>> try: f.unify(G, BindingDict({G: h}))
     ... except UnificationException as e: print(e)
     ...
     Cannot unify f with G given {G: h}
     >>> f.unify(G, BindingDict({G: f})) == BindingDict({G: f})
-	True
+    True
     >>> f.unify(G, BindingDict({H: f})) == BindingDict({G: f, H: f})
-	True
+    True
 
     >>> G.unify(f, BindingDict()) == BindingDict({G: f})
-	True
+    True
     >>> try: G.unify(f, BindingDict({G: h}))
     ... except UnificationException as e: print(e)
     ...
     Cannot unify G with f given {G: h}
     >>> G.unify(f, BindingDict({G: f})) == BindingDict({G: f})
-	True
+    True
     >>> G.unify(f, BindingDict({H: f})) == BindingDict({G: f, H: f})
-	True
+    True
 
     >>> G.unify(F, BindingDict()) == BindingDict({G: F})
-	True
+    True
     >>> try: G.unify(F, BindingDict({G: H}))
     ... except UnificationException as e: print(e)
     ...
     Cannot unify G with F given {G: H}
     >>> G.unify(F, BindingDict({G: F})) == BindingDict({G: F})
-	True
+    True
     >>> G.unify(F, BindingDict({H: F})) == BindingDict({G: F, H: F})
-	True
+    True
 
 Test Compile
 

nltk/test/semantics.doctest

@@ -425,43 +425,43 @@ Satisfier Tests
     ...     g.purge()
     ...     print("Satisfiers of '%s':\n\t%s" % (p, sorted(m.satisfiers(p, 'x', g))))
     Satisfiers of 'boy(x)':
-    	['b1', 'b2']
+    ['b1', 'b2']
     Satisfiers of '(x = x)':
-    	['b1', 'b2', 'd1', 'g1', 'g2']
+    ['b1', 'b2', 'd1', 'g1', 'g2']
     Satisfiers of '(boy(x) | girl(x))':
-    	['b1', 'b2', 'g1', 'g2']
+    ['b1', 'b2', 'g1', 'g2']
     Satisfiers of '(boy(x) & girl(x))':
-    	[]
+    []
     Satisfiers of 'love(adam,x)':
-    	['g1']
+    ['g1']
     Satisfiers of 'love(x,adam)':
-    	['g1', 'g2']
+    ['g1', 'g2']
     Satisfiers of '-(x = adam)':
-    	['b2', 'd1', 'g1', 'g2']
+    ['b2', 'd1', 'g1', 'g2']
     Satisfiers of 'exists z22.love(x,z22)':
-    	['b1', 'b2', 'g1', 'g2']
+    ['b1', 'b2', 'g1', 'g2']
     Satisfiers of 'exists y.love(y,x)':
-    	['b1', 'g1', 'g2']
+    ['b1', 'g1', 'g2']
     Satisfiers of 'all y.(girl(y) -> love(x,y))':
-    	[]
+    []
     Satisfiers of 'all y.(girl(y) -> love(y,x))':
-    	['b1']
+    ['b1']
     Satisfiers of 'all y.(girl(y) -> (boy(x) & love(y,x)))':
-    	['b1']
+    ['b1']
     Satisfiers of '(boy(x) & all y.(girl(y) -> love(x,y)))':
-    	[]
+    []
     Satisfiers of '(boy(x) & all y.(girl(y) -> love(y,x)))':
-    	['b1']
+    ['b1']
     Satisfiers of '(boy(x) & exists y.(girl(y) & love(y,x)))':
-    	['b1']
+    ['b1']
     Satisfiers of '(girl(x) -> dog(x))':
-    	['b1', 'b2', 'd1']
+    ['b1', 'b2', 'd1']
     Satisfiers of 'all y.(dog(y) -> (x = y))':
-    	['d1']
+    ['d1']
     Satisfiers of '-exists y.love(y,x)':
-    	['b2', 'd1']
+    ['b2', 'd1']
     Satisfiers of 'exists y.(love(adam,y) & love(y,x))':
-    	['b1']
+    ['b1']
 
 
 Tests based on the Blackburn & Bos testsuite

nltk/test/wsd.doctest

@@ -20,33 +20,34 @@ a Synset with the highest number of overlapping words between the context
 sentence and different definitions from each Synset.
 
     >>> from nltk.wsd import lesk
-	>>> from nltk import word_tokenize
-	>>> sent = word_tokenize("I went to the bank to deposit money.")
-	>>> word = "bank"
-	>>> pos = "n"
-	>>> print(lesk(sent, word, pos))
-	Synset('depository_financial_institution.n.01')
+    >>> from nltk import word_tokenize
+    >>> sent = word_tokenize("I went to the bank to deposit money.")
+    >>> word = "bank"
+    >>> pos = "n"
+    >>> print(lesk(sent, word, pos))
+    Synset('depository_financial_institution.n.01')
 
 The definitions for "bank" are:
 
-	>>> from nltk.corpus import wordnet as wn
-	>>> for ss in wn.synsets('bank'):
-	...     print(ss, ss.definition())
-	Synset('bank.n.01') sloping land (especially the slope beside a body of water)
-	Synset('depository_financial_institution.n.01') a financial institution that accepts deposits and channels the money into lending activities
-	Synset('bank.n.03') a long ridge or pile
-	Synset('bank.n.04') an arrangement of similar objects in a row or in tiers
-	Synset('bank.n.05') a supply or stock held in reserve for future use (especially in emergencies)
-	Synset('bank.n.06') the funds held by a gambling house or the dealer in some gambling games
-	Synset('bank.n.07') a slope in the turn of a road or track; the outside is higher than the inside in order to reduce the effects of centrifugal force
-	Synset('savings_bank.n.02') a container (usually with a slot in the top) for keeping money at home
-	Synset('bank.n.09') a building in which the business of banking transacted
-	Synset('bank.n.10') a flight maneuver; aircraft tips laterally about its longitudinal axis (especially in turning)
-	Synset('bank.v.01') tip laterally
-	Synset('bank.v.02') enclose with a bank
-	Synset('bank.v.03') do business with a bank or keep an account at a bank
-	Synset('bank.v.04') act as the banker in a game or in gambling
-	Synset('bank.v.05') be in the banking business
-	Synset('deposit.v.02') put into a bank account
-	Synset('bank.v.07') cover with ashes so to control the rate of burning
-	Synset('trust.v.01') have confidence or faith in
+    >>> from nltk.corpus import wordnet as wn
+    >>> for ss in wn.synsets('bank'):
+    ...     print(ss, ss.definition())
+    ...
+    Synset('bank.n.01') sloping land (especially the slope beside a body of water)
+    Synset('depository_financial_institution.n.01') a financial institution that accepts deposits and channels the money into lending activities
+    Synset('bank.n.03') a long ridge or pile
+    Synset('bank.n.04') an arrangement of similar objects in a row or in tiers
+    Synset('bank.n.05') a supply or stock held in reserve for future use (especially in emergencies)
+    Synset('bank.n.06') the funds held by a gambling house or the dealer in some gambling games
+    Synset('bank.n.07') a slope in the turn of a road or track; the outside is higher than the inside in order to reduce the effects of centrifugal force
+    Synset('savings_bank.n.02') a container (usually with a slot in the top) for keeping money at home
+    Synset('bank.n.09') a building in which the business of banking transacted
+    Synset('bank.n.10') a flight maneuver; aircraft tips laterally about its longitudinal axis (especially in turning)
+    Synset('bank.v.01') tip laterally
+    Synset('bank.v.02') enclose with a bank
+    Synset('bank.v.03') do business with a bank or keep an account at a bank
+    Synset('bank.v.04') act as the banker in a game or in gambling
+    Synset('bank.v.05') be in the banking business
+    Synset('deposit.v.02') put into a bank account
+    Synset('bank.v.07') cover with ashes so to control the rate of burning
+    Synset('trust.v.01') have confidence or faith in