Merge remote-tracking branch 'upstream/master'

1 files changed, 0 insertions, 100 deletions

diff --git a/sa-extract/manager.py b/sa-extract/manager.py
deleted file mode 100644
index 3a079c2a..00000000
--- a/sa-extract/manager.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import csuf
-import cdat
-import cintlist
-
-class Sampler(object):
-	'''A Sampler implements a logic for choosing
-	samples from a population range'''
-
-	def __init__(self):
-		pass
-
-	def registerContext(self, context_manager):
-		self.context_manager = context_manager
-
-	def sample(self, phrase_location):
-		return cintlist.CIntList()
-
-
-class Extractor(object):
-	'''Extractor is responsible for extracting rules
-	from a given context; once a sentence id/location
-	is found for the source fwords, extractor is 
-	responsible for producing any matching rule(s).
-	Optionally, extractor may return an empty list'''
-
-	def __init__(self):
-		pass
-
-	def registerContext(self, context_manager):
-		self.context_manager = context_manager
-
-	def extract(self, fwords, loc):
-		return []
-	
-
-
-class RuleFactory(object):
-	'''RuleFactory is a class that manages the
-	generation of translation rules, using the Context
-	and (optionally) any of its contained classes or
-	data.  The RuleFactory is responsible for handling
-	any caching (i.e. when presented with an input
-	sentence, it may lookup a rule from its cache
-	rather than extracting a new rule)'''
-
-	def __init__(self):
-		self.num_lookups = 0
-		self.num_extractions = 0
-		self.num_rules = 0
-		self.time = 0.0
-
-
-	def registerContext(self, context_manager):
-		self.context_manager = context_manager
-
-
-	def input(self, fwords):
-		'''Manages the process of enumerating
-		rules for a given input sentence, and
-		looking them with calls to Context,
-		Sampler, and Extractor'''
-		return []
-
-
-class ContextManager(object):
-
-	def __init__(self, ffile, efile, extractor=None, sampler=None, rulefactory=None, from_binary=False):
-		# NOTE: Extractor does not have a default value because
-		# the only nontrivial extractor right now depends on an
-		# alignment file
-
-		self.fsarray = csuf.SuffixArray(ffile, from_binary)
-		self.edarray = cdat.DataArray(efile, from_binary)
-
-		self.factory = rulefactory
-		self.factory.registerContext(self)
-
-		self.sampler = sampler
-		self.sampler.registerContext(self)
-
-		self.models = []
-		self.owner = None
-
-
-	def add_model(self, model):
-		if self.owner is None:
-			self.owner = model
-		model_id = len(self.models)
-		self.models.append(model)
-		return model_id
-
-
-	def input(self, model, fwords, meta):
-		if model != self.owner:
-			return
-		self.fwords = fwords
-		self.factory.input(self.fwords, meta)
-
-
-