コード例 #1
0
        public void Locker_Read()
        {
            //Arrange
            string testFilePath = Path.Combine(TestContext.DeploymentDirectory, "existingtestlocker.bin");
            Locker <List <LockerKey> > keyLocker = null;
            Exception exception = null;

            byte[]       salt      = { 1, 2, 3, 4, 5, 6, 7, 8 };
            AESEncryptor encryptor = new AESEncryptor(salt, 1234);
            GenericBinarySerializer <List <LockerKey> > serializer = new GenericBinarySerializer <List <LockerKey> >();

            //Act
            try
            {
                CreateAndSaveLockerWithOneKey(testFilePath, "password", salt, "first", "one");
                keyLocker = new Locker <List <LockerKey> >(encryptor, serializer, "password");
                keyLocker.Open(testFilePath);
            }
            catch (Exception e)
            {
                exception = e;
            }

            //Assert
            Assert.IsNull(exception, $"Was not expecting an exception [{exception?.Message}]");

            Assert.IsNotNull(keyLocker.Keys);
            Assert.AreEqual(1, keyLocker.Keys.Count, "was expecting 1 key");
            var key = keyLocker.Keys.FirstOrDefault(k => k.Key == "first");

            Assert.AreEqual("one", key.Value, "Mismatched first value");
        }
コード例 #2
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        public Locker <List <LockerKey> > GetNewLocker(string password, string filePath = null)
        {
            AESEncryptor encryptor = new AESEncryptor(_AESSalt, _AESIterations);
            GenericBinarySerializer <List <LockerKey> > serializer = new GenericBinarySerializer <List <LockerKey> >();

            return(new Locker <List <LockerKey> >(encryptor, serializer, password, filePath));
        }
コード例 #3
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        public static Locker GetLocker(GlobalArguments arguments)
        {
            IEncryptor encryptor = new AESEncryptor(arguments.Salt.ToBytes(), arguments.Iterations);
            GenericBinarySerializer <Dictionary <string, string> > serializer = new GenericBinarySerializer <Dictionary <string, string> >();
            Locker locker = new Locker(encryptor, serializer, arguments.Password, arguments.LockerPath);

            locker.Open();
            return(locker);
        }
コード例 #4
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        public void GenericBinarySerializer_Deserialize()
        {
            var reader = new StringReader(m_serializationString);

            var sut    = new GenericBinarySerializer();
            var actual = sut.Deserialize <Dictionary <string, int> >(() => reader);

            CollectionAssert.AreEqual(m_serializationData, actual);
        }
コード例 #5
0
ファイル: SharpML.cs プロジェクト: Miki96/adaptive-ponger
 public void SaveModel(string path)
 {
     if (type == MACHINE_TYPE.NEURAL_NETWORK)
     {
         var binarySerializer = new GenericBinarySerializer();
         binarySerializer.Serialize <IPredictorModel <double> >(model,
                                                                () => new StreamWriter(root + path));
     }
 }
コード例 #6
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        public void GenericBinarySerializer_Serialize()
        {
            var writer = new StringWriter();

            var sut = new GenericBinarySerializer();

            sut.Serialize(m_serializationData, () => writer);

            var actual = writer.ToString();

            Assert.AreEqual(m_serializationString, actual);
        }
コード例 #7
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        public void GenericBinarySerializer_Serialize_Null()
        {
            //Arrange

            //Act
            ISerializer <Dictionary <string, string> > serializer = new GenericBinarySerializer <Dictionary <string, string> >();

            byte[] result = serializer.Serialize(null);

            //Assert
            Assert.IsNull(result, "Was expecting null for a result");
        }
コード例 #8
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        public void GenericBinarySerializer_Serialize_Empty()
        {
            //Arrange
            string expectedResult = "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";

            //Act
            ISerializer <Dictionary <string, string> > serializer = new GenericBinarySerializer <Dictionary <string, string> >();
            string result = Convert.ToBase64String(serializer.Serialize(new Dictionary <string, string>()));

            //Assert
            Assert.AreEqual(expectedResult, result, "Was expecting results to be equal");
        }
コード例 #9
0
        private Locker <List <LockerKey> > CreateAndSaveLockerWithOneKey(string lockerPath, string password, byte[] salt, string key, string value)
        {
            AESEncryptor encryptor = new AESEncryptor(salt, 1234);
            GenericBinarySerializer <List <LockerKey> > serializer = new GenericBinarySerializer <List <LockerKey> >();

            var keyLocker = new Locker <List <LockerKey> >(encryptor, serializer, password);

            keyLocker.Keys.Add(new LockerKey {
                Key = key, Value = value
            });
            keyLocker.Save(lockerPath);
            return(keyLocker);
        }
コード例 #10
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        public static int CreateFile(CreateArguments arguments)
        {
            int        result    = 0;
            IEncryptor encryptor = new AESEncryptor(arguments.Salt.ToBytes(), arguments.Iterations);
            GenericBinarySerializer <Dictionary <string, string> > serializer = new GenericBinarySerializer <Dictionary <string, string> >();
            Locker locker = new Locker(encryptor, serializer, arguments.Password, arguments.LockerPath);

            // If ia key name is passed in add the kay to the keys list before saving
            if (String.IsNullOrWhiteSpace(arguments.Key) == false)
            {
                locker.Keys.Add(arguments.Key, arguments.Value);
            }
            locker.Save();
            return(result);
        }
コード例 #11
0
ファイル: SharpML.cs プロジェクト: Miki96/adaptive-ponger
 public void LoadModel(string path)
 {
     model = null;
     try
     {
         var binarySerializer = new GenericBinarySerializer();
         model = binarySerializer.Deserialize <IPredictorModel <double> >(
             () => new StreamReader(root + path));
     }
     catch (Exception e)
     {
         Debug.Log(e.Message);
         model = null;
     }
 }
コード例 #12
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        public void GenericBinarySerializer_Serialize()
        {
            //Arrange
            Dictionary <string, string> dictionary = new Dictionary <string, string>();

            dictionary.Add("first", "one");
            string expectedResult = "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";

            //Act
            ISerializer <Dictionary <string, string> > serializer = new GenericBinarySerializer <Dictionary <string, string> >();
            string result = Convert.ToBase64String(serializer.Serialize(dictionary));

            //Assert
            Assert.AreEqual(expectedResult, result, "Was expecting results to be equal");
        }
コード例 #13
0
        public void GenericBinarySerializer_DeSerialize_Null()
        {
            //Arrange
            Exception exception = null;

            //Act

            ISerializer <Dictionary <string, string> > serializer = new GenericBinarySerializer <Dictionary <string, string> >();

            try
            {
                Dictionary <string, string> result = serializer.DeSerialize(null);
            }
            catch (ArgumentNullException e)
            {
                exception = e;
            }

            //Assert
            Assert.IsNotNull(exception, "Was expecting an ArgumentNullException exception");
        }
コード例 #14
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        public void Locker_RoundTrip()
        {
            //Arrange
            string    expectedFilePath = Path.Combine(TestContext.DeploymentDirectory, "rttestlocker.bin");
            string    passowrd         = "password";
            Exception exception        = null;

            byte[]       salt      = { 1, 2, 3, 4, 5, 6, 7, 8 };
            AESEncryptor encryptor = new AESEncryptor(salt, 1234);
            GenericBinarySerializer <List <KeyValuePair <string, string> > > serializer = new GenericBinarySerializer <List <KeyValuePair <string, string> > >();
            Locker <List <KeyValuePair <string, string> > > openLocker = null;

            //Act
            Locker <List <KeyValuePair <string, string> > > saveLocker = new Locker <List <KeyValuePair <string, string> > >(encryptor, serializer, passowrd);

            try
            {
                saveLocker.Keys.Add(new KeyValuePair <string, string>("first", "one"));
                saveLocker.Save(expectedFilePath);

                openLocker = new Locker <List <KeyValuePair <string, string> > >(encryptor, serializer, passowrd);
                openLocker.Open(expectedFilePath);
            }
            catch (Exception e)
            {
                exception = e;
            }

            //Assert
            Assert.IsNull(exception, $"Was not expecting an exception [{exception?.Message}]");
            bool fileExists = File.Exists(expectedFilePath);

            Assert.IsTrue(fileExists, "Was expecting a locker file to exist");
            Assert.IsNotNull(openLocker, "Was expecting openlocker to have a value");
            Assert.IsNotNull(openLocker.Keys);
            Assert.AreEqual(1, openLocker.Keys.Count, "was expecting 1 key");
            var key = openLocker.Keys.FirstOrDefault(k => k.Key == "first");

            Assert.AreEqual("one", key.Value, "Mismatched first value");
        }
コード例 #15
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        public void Serialize_Encrypt_RoundTrip()
        {
            List <KeyValuePair <string, string> > dictionary = new List <KeyValuePair <string, string> >();

            dictionary.Add(new KeyValuePair <string, string>("first", "one"));
            string key = "12345678901234567890123456789012";

            byte[] salt = { 1, 2, 3, 4, 5, 6, 7, 8 };
            GenericBinarySerializer <List <KeyValuePair <string, string> > > serializer = new GenericBinarySerializer <List <KeyValuePair <string, string> > >();
            AESEncryptor encryptor = new AESEncryptor(salt, 1234);

            //Act
            byte[] serializedData = serializer.Serialize(dictionary);

            byte[] encryptedData = encryptor.Encrypt(serializedData, key);

            byte[] decryptedData = encryptor.Decrypt(encryptedData, key);

            List <KeyValuePair <string, string> > deserializedData = serializer.DeSerialize(decryptedData);

            Assert.IsTrue(serializedData.AreEqual(decryptedData), "Was expecting serialized and decrypted data to be equal");
            Assert.AreEqual(dictionary.Count, deserializedData.Count, "Was expecting dictionaries to have 1 entry");
        }
コード例 #16
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        public void RandomForest_Default_Parameters_Save_Load_Model_Using_Serializer()
        {
            #region read and split data
            // Use StreamReader(filepath) when running from filesystem
            var parser     = new CsvParser(() => new StringReader(Resources.winequality_white));
            var targetName = "quality";

            // read feature matrix
            var observations = parser.EnumerateRows(c => c != targetName)
                               .ToF64Matrix();

            // read regression targets
            var targets = parser.EnumerateRows(targetName)
                          .ToF64Vector();

            // creates training test splitter,
            // Since this is a regression problem, we use the random training/test set splitter.
            // 30 % of the data is used for the test set.
            var splitter = new RandomTrainingTestIndexSplitter <double>(trainingPercentage: 0.7, seed: 24);

            var trainingTestSplit = splitter.SplitSet(observations, targets);
            var trainSet          = trainingTestSplit.TrainingSet;
            var testSet           = trainingTestSplit.TestSet;
            #endregion

            // create learner with default parameters
            var learner = new RegressionRandomForestLearner(trees: 100);

            // learn model with found parameters
            var model = learner.Learn(trainSet.Observations, trainSet.Targets);

            // predict the training and test set.
            var trainPredictions = model.Predict(trainSet.Observations);
            var testPredictions  = model.Predict(testSet.Observations);

            // since this is a regression problem we are using square error as metric
            // for evaluating how well the model performs.
            var metric = new MeanSquaredErrorRegressionMetric();

            // measure the error on training and test set.
            var trainError = metric.Error(trainSet.Targets, trainPredictions);
            var testError  = metric.Error(testSet.Targets, testPredictions);

            TraceTrainingAndTestError(trainError, testError);

            //Save/load model as xml, in the file system use new StreamWriter(filePath);
            var xmlSerializer = new GenericXmlDataContractSerializer();
            var savedModelXml = new StringWriter();

            xmlSerializer
            .Serialize <IPredictorModel <double> >(model, () => savedModelXml);

            var loadedModelXml = xmlSerializer
                                 .Deserialize <IPredictorModel <double> >(() => new StringReader(savedModelXml.ToString()));

            //Save/load model as binary, in the file system use new StreamWriter(filePath);
            var binarySerializer = new GenericBinarySerializer();
            var savedModelBinary = new StringWriter();

            binarySerializer
            .Serialize <IPredictorModel <double> >(model, () => savedModelBinary);

            var loadedModelBinary = binarySerializer
                                    .Deserialize <IPredictorModel <double> >(() => new StringReader(savedModelBinary.ToString()));
        }