chore(release): fix duplicate release notes

Author: hanhxiao

CHANGELOG.md

@@ -1,34 +1,3 @@
-
-# Release Note (`v0.0.30`)
-> Release time: 2019-08-19 14:13:31
-
-
-🙇 We'd like to thank all contributors for this new release! In particular,
- hanhxiao,  🙇
-
-
-### 🆕 New Features
-
- - [[```7b5cc86a```](https://github.com/gnes-ai/gnes/commit/7b5cc86a585c75965b224cb7f668cae2bb854885)] __-__ __contrib__: no need to give module name in advance (*hanhxiao*)
-
-### 🐞 Bug fixes
-
- - [[```b5b1a1e7```](https://github.com/gnes-ai/gnes/commit/b5b1a1e7877724851de8487de306b78d76b995ae)] __-__ __ci__: check if master is up-to-date before releasing (*hanhxiao*)
- - [[```5f69c781```](https://github.com/gnes-ai/gnes/commit/5f69c7811376eba0d3724002724e0b30054447ed)] __-__ __contrib__: allowing dump for contribued module (*hanhxiao*)
-
-### 🚧 Code Refactoring
-
- - [[```ee61fcec```](https://github.com/gnes-ai/gnes/commit/ee61fcec49455417ef4694cfbabaa548b19ff03f)] __-__ __base__: parameter now names as parameters (*hanhxiao*)
-
-### 🏁 Unit Test and CICD
-
- - [[```435f7be7```](https://github.com/gnes-ai/gnes/commit/435f7be7096359437cf9c287eca780f775b9d341)] __-__ __drone__: fix drone links (*hanhxiao*)
- - [[```cd8a5cc5```](https://github.com/gnes-ai/gnes/commit/cd8a5cc5bc0027f4f39d1a00ddfc854168365dcb)] __-__ __contrib__: test external modules with services (*hanhxiao*)
-
-### 🍹 Other Improvements
-
- - [[```565ef569```](https://github.com/gnes-ai/gnes/commit/565ef569b0ddfab2904c8b6f807f0ea88ddee429)] __-__ __changelog__: update change log to v0.0.29 (*hanhxiao*)
-
 # Release Note (`v0.0.30`)
 > Release time: 2019-08-19 14:13:03
 

gnes/base/__init__.py

@@ -160,6 +160,10 @@ def arg_wrapper(self, *args, **kwargs):
 
 
 class TrainableBase(metaclass=TrainableType):
+    """
+    The base class for preprocessor, encoder, indexer and router
+
+    """
     store_args_kwargs = False
 
     def __init__(self, *args, **kwargs):
@@ -183,6 +187,10 @@ def _post_init_wrapper(self):
         self._post_init_vars = {k for k in self.__dict__ if k not in _before}
 
     def post_init(self):
+        """
+        Declare class attributes/members that can not be serialized in standard way
+
+        """
         pass
 
     @classmethod
@@ -191,10 +199,19 @@ def pre_init(cls):
 
     @property
     def dump_full_path(self):
+        """
+        Get the binary dump path
+
+        :return:
+        """
         return os.path.join(self.work_dir, '%s.bin' % self.name)
 
     @property
     def yaml_full_path(self):
+        """
+        Get the file path of the yaml config
+        :return:
+        """
         return os.path.join(self.work_dir, '%s.yml' % self.name)
 
     def __getstate__(self):
@@ -214,10 +231,17 @@ def __setstate__(self, d):
                              'which often can be solved by "pip install" relevant package.')
 
     def train(self, *args, **kwargs):
+        """
+        Train the model, need to be overrided
+        """
         pass
 
     @profiling
     def dump(self, filename: str = None) -> None:
+        """
+        Serialize the object to a binary file
+        :param filename: file path of the serialized file, if not given then `self.dump_full_path` is used
+        """
         f = filename or self.dump_full_path
         if not f:
             f = tempfile.NamedTemporaryFile('w', delete=False, dir=os.environ.get('GNES_VOLUME', None)).name
@@ -227,6 +251,10 @@ def dump(self, filename: str = None) -> None:
 
     @profiling
     def dump_yaml(self, filename: str = None) -> None:
+        """
+        Serialize the object to a yaml file
+        :param filename: file path of the yaml file, if not given then `self.dump_yaml_path` is used
+        """
         f = filename or self.yaml_full_path
         if not f:
             f = tempfile.NamedTemporaryFile('w', delete=False, dir=os.environ.get('GNES_VOLUME', None)).name
@@ -252,6 +280,9 @@ def load(filename: str = None) -> T:
             return pickle.load(fp)
 
     def close(self):
+        """
+        Release the resources as model is destroyed
+        """
         pass
 
     def __enter__(self):

gnes/indexer/base.py

@@ -41,9 +41,6 @@ def add(self, keys: List[Tuple[int, int]], vectors: np.ndarray, weights: List[fl
     def query(self, keys: np.ndarray, top_k: int, *args, **kwargs) -> List[List[Tuple]]:
         pass
 
-    def normalize_score(self, *args, **kwargs):
-        pass
-
 
 class BaseTextIndexer(BaseIndexer):
 
@@ -53,9 +50,6 @@ def add(self, keys: List[int], docs: Any, weights: List[float], *args, **kwargs)
     def query(self, keys: List[int], *args, **kwargs) -> List[Any]:
         pass
 
-    def normalize_score(self, *args, **kwargs):
-        pass
-
 
 class BaseKeyIndexer(BaseIndexer):
 
@@ -65,9 +59,6 @@ def add(self, keys: List[Tuple[int, int]], weights: List[float], *args, **kwargs
     def query(self, keys: List[int], *args, **kwargs) -> List[Tuple[int, int, float]]:
         pass
 
-    def normalize_score(self, *args, **kwargs):
-        pass
-
 
 class JointIndexer(CompositionalTrainableBase):
 

gnes/router/base.py

@@ -21,7 +21,17 @@
 
 
 class BaseRouter(TrainableBase):
+    """ Base class for the router. Inherit from this class to create a new router.
+
+    Router forwards messages between services. Essentially, it receives a 'gnes_pb2.Message'
+    and call `apply()` method on it.
+    """
     def apply(self, msg: 'gnes_pb2.Message', *args, **kwargs):
+        """
+        Modify the incoming message
+
+        :param msg: incoming message
+        """
         pass
 
 
@@ -32,6 +42,12 @@ def apply(self, msg: 'gnes_pb2.Message', *args, **kwargs) -> Generator:
 
 class BaseReduceRouter(BaseRouter):
     def apply(self, msg: 'gnes_pb2.Message', accum_msgs: List['gnes_pb2.Message'], *args, **kwargs) -> None:
+        """
+        Modify the current message based on accumulated messages
+
+        :param msg: the current message
+        :param accum_msgs: accumulated messages
+        """
         merge_routes(msg, accum_msgs)
         if len(msg.envelope.num_part) > 1:
             msg.envelope.num_part.pop()