# Path: recommender/connection_trainer.py
# NEUTRAL_PREDICTION = 0.5
# POSITIVE = True
# NEGATIVE = False
# def Sigmoid(z):
#   def __init__(self, rating, user, weight, num_ratings_ago):
#   def __init__(self, user, weight):
#   def GetRecommendations(self, item, user, user_rating):
#   def GetWeight(self, subscriber, publisher, positive):
#   def SetWeight(self,
#                 subscriber,
#                 publisher,
#                 positive,
#                 weight,
#                 shared_item=None,
#                 publisher_voted=False,
#                 reverted=False):
#   def GetSubscribers(self, publisher, positive=True):
#   def CanSubscribe(self, user):
#   def __init__(self,
#                connection_store,
#                learning_rate,
#                ignore_learning_rate,
#                default_contribution=0.1):
#   def GetDecayedWeight(self, initial_weight, num_items):
#   def DecayConnectionWeightToPublisher(self, publisher, num_items=1):
#   def RecommendationAdded(self, user, item, rating):
# class Rating(object):
# class Connection(object):
# class ConnectionStore(object):
# class Trainer(object):


import unittest
from recommender import connection_trainer
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.




class Recommendation(object):

  def __init__(self, user, rating):
    self.user = user
    self.rating = rating



# Path: recommender/connection_trainer.py
# NEUTRAL_PREDICTION = 0.5
# POSITIVE = True
# NEGATIVE = False
# def Sigmoid(z):
#   def __init__(self, rating, user, weight, num_ratings_ago):
#   def __init__(self, user, weight):
#   def GetRecommendations(self, item, user, user_rating):
#   def GetWeight(self, subscriber, publisher, positive):
#   def SetWeight(self,
#                 subscriber,
#                 publisher,
#                 positive,
#                 weight,
#                 shared_item=None,
#                 publisher_voted=False,
#                 reverted=False):
#   def GetSubscribers(self, publisher, positive=True):
#   def CanSubscribe(self, user):
#   def __init__(self,
#                connection_store,
#                learning_rate,
#                ignore_learning_rate,
#                default_contribution=0.1):
#   def GetDecayedWeight(self, initial_weight, num_items):
#   def DecayConnectionWeightToPublisher(self, publisher, num_items=1):
#   def RecommendationAdded(self, user, item, rating):
# class Rating(object):
# class Connection(object):
# class ConnectionStore(object):
# class Trainer(object):


# Path: recommender/connection_trainer_test.py
import unittest
from recommender import connection_trainer

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.




class Recommendation(object):

  def __init__(self, user, rating):
    self.user = user
    self.rating = rating



class InMemoryStore(connection_trainer.ConnectionStore):