6e8898b82f4591fe2256ca56be3c98836fe94b88,simhash/__init__.py,Simhash,__init__,#Simhash#Any#Any#Any#Any#,25

Before Change


        else:
            self.hashfunc = hashfunc

        if isinstance(value, Simhash):
            self.value = value.value
        elif isinstance(value, basestring):
            self.build_by_text(unicode(value))
        elif isinstance(value, collections.Iterable):
            self.build_by_features(value)
        elif isinstance(value, long):
            self.value = value
        else:
            raise Exception("Bad parameter with type {}".format(type(value)))

    def _slide(self, content, width=4):
        return [content[i:i + width] for i in range(max(len(content) - width + 1, 1))]

    def _tokenize(self, content):

After Change


        self.bucket = collections.defaultdict(set)

        for i, q in enumerate(objs):
            if i % 10000 == 0 or i == count - 1:
                self.log.info("%s/%s", i + 1, count)

            self.add(*q)

    def get_near_dups(self, simhash):
        
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: leonsim/simhash
Commit Name: 6e8898b82f4591fe2256ca56be3c98836fe94b88
Time: 2017-10-31
Author: akellne@users.noreply.github.com
File Name: simhash/__init__.py
Class Name: Simhash
Method Name: __init__


Project Name: biolab/orange3
Commit Name: c073de4002f7a72babc8fd6ecdcd90c141be2c08
Time: 2013-01-21
Author: janez.demsar@fri.uni-lj.si
File Name: Orange/widgets/utils/datacaching.py
Class Name:
Method Name: getCached


Project Name: tensorflow/models
Commit Name: 0270cac779f61a879f74d9495b9156f8f4127478
Time: 2018-05-11
Author: scottzhu@google.com
File Name: official/utils/logs/logger.py
Class Name: BaseBenchmarkLogger
Method Name: log_metric