Make __save_corpus weakly private

gensim/corpora/bleicorpus.py

@@ -97,7 +97,7 @@ def line2doc(self, line):
         return doc
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, metadata=False):
+    def _save_corpus(fname, corpus, id2word=None, metadata=False):
         """
         Save a corpus in the LDA-C format.
 

gensim/corpora/lowcorpus.py

@@ -141,7 +141,7 @@ def __iter__(self):
                     yield self.line2doc(line)
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, metadata=False):
+    def _save_corpus(fname, corpus, id2word=None, metadata=False):
         """
         Save a corpus in the List-of-words format.
 

gensim/corpora/malletcorpus.py

@@ -67,7 +67,7 @@ def line2doc(self, line):
             return doc
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, metadata=False):
+    def _save_corpus(fname, corpus, id2word=None, metadata=False):
         """
         Save a corpus in the Mallet format.
 

gensim/corpora/mmcorpus.py

@@ -38,7 +38,7 @@ def __iter__(self):
             yield doc  # get rid of doc id, return the sparse vector only
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, progress_cnt=1000, metadata=False):
+    def _save_corpus(fname, corpus, id2word=None, progress_cnt=1000, metadata=False):
         """
         Save a corpus in the Matrix Market format to disk.
 

gensim/corpora/sharded_corpus.py

@@ -773,7 +773,7 @@ def load(cls, fname, mmap=None):
         return super(ShardedCorpus, cls).load(fname, mmap)
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, progress_cnt=1000, metadata=False, **kwargs):
+    def _save_corpus(fname, corpus, id2word=None, progress_cnt=1000, metadata=False, **kwargs):
         """
         Implement a serialization interface. Do not call directly;
         use the `serialize` method instead.
@@ -809,4 +809,4 @@ def serialize(serializer, fname, corpus, id2word=None, index_fname=None, progres
         Ignore the parameters id2word, index_fname, progress_cnt, labels
         and metadata. They currently do nothing and are here only to
         provide a compatible method signature with superclass."""
-        serializer.__save_corpus(fname, corpus, id2word=id2word, progress_cnt=progress_cnt, metadata=metadata, **kwargs)
+        serializer._save_corpus(fname, corpus, id2word=id2word, progress_cnt=progress_cnt, metadata=metadata, **kwargs)

gensim/corpora/svmlightcorpus.py

@@ -79,7 +79,7 @@ def __iter__(self):
         self.length = lineno + 1
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, labels=False, metadata=False):
+    def _save_corpus(fname, corpus, id2word=None, labels=False, metadata=False):
         """
         Save a corpus in the SVMlight format.
 

gensim/corpora/ucicorpus.py

@@ -192,7 +192,7 @@ def create_dictionary(self):
         return dictionary
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, progress_cnt=10000, metadata=False):
+    def _save_corpus(fname, corpus, id2word=None, progress_cnt=10000, metadata=False):
         """
         Save a corpus in the UCI Bag-of-Words format.
 

gensim/interfaces.py

@@ -74,14 +74,14 @@ def __len__(self):
 #        return sum(1 for doc in self) # sum(empty generator) == 0, so this works even for an empty corpus
 
     @staticmethod
-    def __save_corpus(fname, corpus, id2word=None, metadata=False):
+    def _save_corpus(fname, corpus, id2word=None, metadata=False):
         """
         Save an existing `corpus` to disk.
 
         Some formats also support saving the dictionary (`feature_id->word` mapping),
         which can in this case be provided by the optional `id2word` parameter.
 
-        >>> MmCorpus.__save_corpus('file.mm', corpus)
+        >>> MmCorpus._save_corpus('file.mm', corpus)
 
         Some corpora also support an index of where each document begins, so
         that the documents on disk can be accessed in O(1) time (see the