leave out parameter
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5e9c8cf93f
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@ -8,6 +8,7 @@ import host
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import time
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BUFFER_SIZE = 500
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LEAVE_OUT = 2 # this leaves out every second sentence
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address = 'http://'+host.concordia_host
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if len(host.concordia_port) > 0:
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@ -23,7 +24,7 @@ def file_len(fname):
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def add_examples(examplesData):
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req = urllib2.Request(address)
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req.add_header('Content-Type', 'application/json')
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response = json.loads(urllib2.urlopen(req, json.dumps(examplesData)).read())
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response = json.loads(urllib2.urlopen(req, json.dumps(examplesData), 3600).read())
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print(response)
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if response['status'] == 'error':
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raise Exception(response['message'])
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@ -51,7 +52,7 @@ if not (sourceFileLength == lemmatizedSourceFileLength and lemmatizedSourceFileL
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print("source file: %d\nlemmatized source file: %d\ntarget file: %d\nalignments file: %d\nsource ids file: %d" % (sourceFileLength, lemmatizedSourceFileLength, targetFileLength, alignmentsFileLength, sourceIdsFileLength))
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raise Exception("files are not of the same length!")
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totalExamples = file_len(sourceFile)
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totalExamples = sourceFileLength / LEAVE_OUT
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data = {
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'operation': 'addTm',
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@ -63,7 +64,7 @@ data = {
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req = urllib2.Request(address)
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req.add_header('Content-Type', 'application/json')
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response = json.loads(urllib2.urlopen(req, json.dumps(data)).read())
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response = json.loads(urllib2.urlopen(req, json.dumps(data), 3600).read())
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print(response)
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tmId = int(response['newTmId'])
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print "Added new tm: %d" % tmId
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@ -76,21 +77,23 @@ data = {
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examples = []
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start = time.time()
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with open(sourceFile) as source_file, open(lemmatizedSourceFile) as lemmatized_source_file, open(targetFile) as target_file, open(alignmentsFile) as alignments_file, open(sourceIdsFile) as source_ids_file:
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addedCount = 0
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for lineNumber in range(totalExamples):
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sourceSentence = source_file.readline().strip()
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lemmatizedSourceSentence = lemmatized_source_file.readline().strip()
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targetSentence = target_file.readline().strip()
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alignment = json.loads(alignments_file.readline().strip())
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sourceId = int(source_ids_file.readline().strip())
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if lineNumber % LEAVE_OUT == 0:
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sourceSentence = source_file.readline().strip()
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lemmatizedSourceSentence = lemmatized_source_file.readline().strip()
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targetSentence = target_file.readline().strip()
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alignment = json.loads(alignments_file.readline().strip())
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sourceId = int(source_ids_file.readline().strip())
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examples.append([sourceSentence, lemmatizedSourceSentence, targetSentence, alignment, sourceId])
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if len(examples) >= BUFFER_SIZE:
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data['examples'] = examples
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add_examples(data)
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mark = time.time()
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print "Added %d of %d lemmatized examples. Time elapsed: %.4f s, current speed: %.4f examples/second" % ( (lineNumber+1), totalExamples, mark-start, (lineNumber+1)/(mark-start))
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examples = []
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examples.append([sourceSentence, lemmatizedSourceSentence, targetSentence, alignment, sourceId])
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addedCount += 1
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if len(examples) >= BUFFER_SIZE:
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data['examples'] = examples
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add_examples(data)
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mark = time.time()
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print "Added %d of %d lemmatized examples. Time elapsed: %.4f s, current speed: %.4f examples/second" % (addedCount, totalExamples, mark-start, addedCount/(mark-start))
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examples = []
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if len(examples) > 0:
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@ -98,7 +101,7 @@ if len(examples) > 0:
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add_examples(data)
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end = time.time()
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print "Added all %d lemmatized sentences. Time elapsed: %.4f s, overall speed: %.4f sentences/second" % ((lineNumber+1), end-start, (lineNumber+1)/(end-start))
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print "Added all %d lemmatized sentences. Time elapsed: %.4f s, overall speed: %.4f sentences/second" % (addedCount, end-start, addedCount/(end-start))
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print "Generating index..."
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start = time.time()
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@ -108,7 +111,7 @@ data = {
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}
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req = urllib2.Request(address)
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req.add_header('Content-Type', 'application/json')
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urllib2.urlopen(req, json.dumps(data)).read()
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urllib2.urlopen(req, json.dumps(data), 3600).read()
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end = time.time()
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print "Index regeneration complete. The operation took %.4f s" % (end - start)
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@ -1,6 +1,6 @@
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#!/bin/sh
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CORPUS_NAME=opensubtitles_sample
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CORPUS_NAME=opensubtitles
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CORPUS_PATH=../fast-aligner/corpora/$CORPUS_NAME
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SRC_LANG_ID=1
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TRG_LANG_ID=2
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