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sayantann11 / All Classification Templetes For MLClassification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at some of the objectives covered under this section of Machine Learning tutorial. Define Classification and list its algorithms Describe Logistic Regression and Sigmoid Probability Explain K-Nearest Neighbors and KNN classification Understand Support Vector Machines, Polynomial Kernel, and Kernel Trick Analyze Kernel Support Vector Machines with an example Implement the Naïve Bayes Classifier Demonstrate Decision Tree Classifier Describe Random Forest Classifier Classification: Meaning Classification is a type of supervised learning. It specifies the class to which data elements belong to and is best used when the output has finite and discrete values. It predicts a class for an input variable as well. There are 2 types of Classification: Binomial Multi-Class Classification: Use Cases Some of the key areas where classification cases are being used: To find whether an email received is a spam or ham To identify customer segments To find if a bank loan is granted To identify if a kid will pass or fail in an examination Classification: Example Social media sentiment analysis has two potential outcomes, positive or negative, as displayed by the chart given below. https://www.simplilearn.com/ice9/free_resources_article_thumb/classification-example-machine-learning.JPG This chart shows the classification of the Iris flower dataset into its three sub-species indicated by codes 0, 1, and 2. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-flower-dataset-graph.JPG The test set dots represent the assignment of new test data points to one class or the other based on the trained classifier model. Types of Classification Algorithms Let’s have a quick look into the types of Classification Algorithm below. Linear Models Logistic Regression Support Vector Machines Nonlinear models K-nearest Neighbors (KNN) Kernel Support Vector Machines (SVM) Naïve Bayes Decision Tree Classification Random Forest Classification Logistic Regression: Meaning Let us understand the Logistic Regression model below. This refers to a regression model that is used for classification. This method is widely used for binary classification problems. It can also be extended to multi-class classification problems. Here, the dependent variable is categorical: y ϵ {0, 1} A binary dependent variable can have only two values, like 0 or 1, win or lose, pass or fail, healthy or sick, etc In this case, you model the probability distribution of output y as 1 or 0. This is called the sigmoid probability (σ). If σ(θ Tx) > 0.5, set y = 1, else set y = 0 Unlike Linear Regression (and its Normal Equation solution), there is no closed form solution for finding optimal weights of Logistic Regression. Instead, you must solve this with maximum likelihood estimation (a probability model to detect the maximum likelihood of something happening). It can be used to calculate the probability of a given outcome in a binary model, like the probability of being classified as sick or passing an exam. https://www.simplilearn.com/ice9/free_resources_article_thumb/logistic-regression-example-graph.JPG Sigmoid Probability The probability in the logistic regression is often represented by the Sigmoid function (also called the logistic function or the S-curve): https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-function-machine-learning.JPG In this equation, t represents data values * the number of hours studied and S(t) represents the probability of passing the exam. Assume sigmoid function: https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-probability-machine-learning.JPG g(z) tends toward 1 as z -> infinity , and g(z) tends toward 0 as z -> infinity K-nearest Neighbors (KNN) K-nearest Neighbors algorithm is used to assign a data point to clusters based on similarity measurement. It uses a supervised method for classification. The steps to writing a k-means algorithm are as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-distribution-graph-machine-learning.JPG Choose the number of k and a distance metric. (k = 5 is common) Find k-nearest neighbors of the sample that you want to classify Assign the class label by majority vote. KNN Classification A new input point is classified in the category such that it has the most number of neighbors from that category. For example: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-classification-machine-learning.JPG Classify a patient as high risk or low risk. Mark email as spam or ham. Keen on learning about Classification Algorithms in Machine Learning? Click here! Support Vector Machine (SVM) Let us understand Support Vector Machine (SVM) in detail below. SVMs are classification algorithms used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Once ideal hyperplanes are discovered, new data points can be easily classified. https://www.simplilearn.com/ice9/free_resources_article_thumb/support-vector-machines-graph-machine-learning.JPG The optimization objective is to find “maximum margin hyperplane” that is farthest from the closest points in the two classes (these points are called support vectors). In the given figure, the middle line represents the hyperplane. SVM Example Let’s look at this image below and have an idea about SVM in general. Hyperplanes with larger margins have lower generalization error. The positive and negative hyperplanes are represented by: https://www.simplilearn.com/ice9/free_resources_article_thumb/positive-negative-hyperplanes-machine-learning.JPG Classification of any new input sample xtest : If w0 + wTxtest > 1, the sample xtest is said to be in the class toward the right of the positive hyperplane. If w0 + wTxtest < -1, the sample xtest is said to be in the class toward the left of the negative hyperplane. When you subtract the two equations, you get: https://www.simplilearn.com/ice9/free_resources_article_thumb/equation-subtraction-machine-learning.JPG Length of vector w is (L2 norm length): https://www.simplilearn.com/ice9/free_resources_article_thumb/length-of-vector-machine-learning.JPG You normalize with the length of w to arrive at: https://www.simplilearn.com/ice9/free_resources_article_thumb/normalize-equation-machine-learning.JPG SVM: Hard Margin Classification Given below are some points to understand Hard Margin Classification. The left side of equation SVM-1 given above can be interpreted as the distance between the positive (+ve) and negative (-ve) hyperplanes; in other words, it is the margin that can be maximized. Hence the objective of the function is to maximize with the constraint that the samples are classified correctly, which is represented as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-machine-learning.JPG This means that you are minimizing ‖w‖. This also means that all positive samples are on one side of the positive hyperplane and all negative samples are on the other side of the negative hyperplane. This can be written concisely as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-formula.JPG Minimizing ‖w‖ is the same as minimizing. This figure is better as it is differentiable even at w = 0. The approach listed above is called “hard margin linear SVM classifier.” SVM: Soft Margin Classification Given below are some points to understand Soft Margin Classification. To allow for linear constraints to be relaxed for nonlinearly separable data, a slack variable is introduced. (i) measures how much ith instance is allowed to violate the margin. The slack variable is simply added to the linear constraints. https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-machine-learning.JPG Subject to the above constraints, the new objective to be minimized becomes: https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-formula.JPG You have two conflicting objectives now—minimizing slack variable to reduce margin violations and minimizing to increase the margin. The hyperparameter C allows us to define this trade-off. Large values of C correspond to larger error penalties (so smaller margins), whereas smaller values of C allow for higher misclassification errors and larger margins. https://www.simplilearn.com/ice9/free_resources_article_thumb/machine-learning-certification-video-preview.jpg SVM: Regularization The concept of C is the reverse of regularization. Higher C means lower regularization, which increases bias and lowers the variance (causing overfitting). https://www.simplilearn.com/ice9/free_resources_article_thumb/concept-of-c-graph-machine-learning.JPG IRIS Data Set The Iris dataset contains measurements of 150 IRIS flowers from three different species: Setosa Versicolor Viriginica Each row represents one sample. Flower measurements in centimeters are stored as columns. These are called features. IRIS Data Set: SVM Let’s train an SVM model using sci-kit-learn for the Iris dataset: https://www.simplilearn.com/ice9/free_resources_article_thumb/svm-model-graph-machine-learning.JPG Nonlinear SVM Classification There are two ways to solve nonlinear SVMs: by adding polynomial features by adding similarity features Polynomial features can be added to datasets; in some cases, this can create a linearly separable dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/nonlinear-classification-svm-machine-learning.JPG In the figure on the left, there is only 1 feature x1. This dataset is not linearly separable. If you add x2 = (x1)2 (figure on the right), the data becomes linearly separable. Polynomial Kernel In sci-kit-learn, one can use a Pipeline class for creating polynomial features. Classification results for the Moons dataset are shown in the figure. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-machine-learning.JPG Polynomial Kernel with Kernel Trick Let us look at the image below and understand Kernel Trick in detail. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-with-kernel-trick.JPG For large dimensional datasets, adding too many polynomial features can slow down the model. You can apply a kernel trick with the effect of polynomial features without actually adding them. The code is shown (SVC class) below trains an SVM classifier using a 3rd-degree polynomial kernel but with a kernel trick. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-equation-machine-learning.JPG The hyperparameter coefθ controls the influence of high-degree polynomials. Kernel SVM Let us understand in detail about Kernel SVM. Kernel SVMs are used for classification of nonlinear data. In the chart, nonlinear data is projected into a higher dimensional space via a mapping function where it becomes linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-machine-learning.JPG In the higher dimension, a linear separating hyperplane can be derived and used for classification. A reverse projection of the higher dimension back to original feature space takes it back to nonlinear shape. As mentioned previously, SVMs can be kernelized to solve nonlinear classification problems. You can create a sample dataset for XOR gate (nonlinear problem) from NumPy. 100 samples will be assigned the class sample 1, and 100 samples will be assigned the class label -1. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-graph-machine-learning.JPG As you can see, this data is not linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-non-separable.JPG You now use the kernel trick to classify XOR dataset created earlier. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-xor-machine-learning.JPG Naïve Bayes Classifier What is Naive Bayes Classifier? Have you ever wondered how your mail provider implements spam filtering or how online news channels perform news text classification or even how companies perform sentiment analysis of their audience on social media? All of this and more are done through a machine learning algorithm called Naive Bayes Classifier. Naive Bayes Named after Thomas Bayes from the 1700s who first coined this in the Western literature. Naive Bayes classifier works on the principle of conditional probability as given by the Bayes theorem. Advantages of Naive Bayes Classifier Listed below are six benefits of Naive Bayes Classifier. Very simple and easy to implement Needs less training data Handles both continuous and discrete data Highly scalable with the number of predictors and data points As it is fast, it can be used in real-time predictions Not sensitive to irrelevant features Bayes Theorem We will understand Bayes Theorem in detail from the points mentioned below. According to the Bayes model, the conditional probability P(Y|X) can be calculated as: P(Y|X) = P(X|Y)P(Y) / P(X) This means you have to estimate a very large number of P(X|Y) probabilities for a relatively small vector space X. For example, for a Boolean Y and 30 possible Boolean attributes in the X vector, you will have to estimate 3 billion probabilities P(X|Y). To make it practical, a Naïve Bayes classifier is used, which assumes conditional independence of P(X) to each other, with a given value of Y. This reduces the number of probability estimates to 2*30=60 in the above example. Naïve Bayes Classifier for SMS Spam Detection Consider a labeled SMS database having 5574 messages. It has messages as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-machine-learning.JPG Each message is marked as spam or ham in the data set. Let’s train a model with Naïve Bayes algorithm to detect spam from ham. The message lengths and their frequency (in the training dataset) are as shown below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-spam-detection.JPG Analyze the logic you use to train an algorithm to detect spam: Split each message into individual words/tokens (bag of words). Lemmatize the data (each word takes its base form, like “walking” or “walked” is replaced with “walk”). Convert data to vectors using scikit-learn module CountVectorizer. Run TFIDF to remove common words like “is,” “are,” “and.” Now apply scikit-learn module for Naïve Bayes MultinomialNB to get the Spam Detector. This spam detector can then be used to classify a random new message as spam or ham. Next, the accuracy of the spam detector is checked using the Confusion Matrix. For the SMS spam example above, the confusion matrix is shown on the right. Accuracy Rate = Correct / Total = (4827 + 592)/5574 = 97.21% Error Rate = Wrong / Total = (155 + 0)/5574 = 2.78% https://www.simplilearn.com/ice9/free_resources_article_thumb/confusion-matrix-machine-learning.JPG Although confusion Matrix is useful, some more precise metrics are provided by Precision and Recall. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-recall-matrix-machine-learning.JPG Precision refers to the accuracy of positive predictions. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-formula-machine-learning.JPG Recall refers to the ratio of positive instances that are correctly detected by the classifier (also known as True positive rate or TPR). https://www.simplilearn.com/ice9/free_resources_article_thumb/recall-formula-machine-learning.JPG Precision/Recall Trade-off To detect age-appropriate videos for kids, you need high precision (low recall) to ensure that only safe videos make the cut (even though a few safe videos may be left out). The high recall is needed (low precision is acceptable) in-store surveillance to catch shoplifters; a few false alarms are acceptable, but all shoplifters must be caught. Learn about Naive Bayes in detail. Click here! Decision Tree Classifier Some aspects of the Decision Tree Classifier mentioned below are. Decision Trees (DT) can be used both for classification and regression. The advantage of decision trees is that they require very little data preparation. They do not require feature scaling or centering at all. They are also the fundamental components of Random Forests, one of the most powerful ML algorithms. Unlike Random Forests and Neural Networks (which do black-box modeling), Decision Trees are white box models, which means that inner workings of these models are clearly understood. In the case of classification, the data is segregated based on a series of questions. Any new data point is assigned to the selected leaf node. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-machine-learning.JPG Start at the tree root and split the data on the feature using the decision algorithm, resulting in the largest information gain (IG). This splitting procedure is then repeated in an iterative process at each child node until the leaves are pure. This means that the samples at each node belonging to the same class. In practice, you can set a limit on the depth of the tree to prevent overfitting. The purity is compromised here as the final leaves may still have some impurity. The figure shows the classification of the Iris dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-graph.JPG IRIS Decision Tree Let’s build a Decision Tree using scikit-learn for the Iris flower dataset and also visualize it using export_graphviz API. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-machine-learning.JPG The output of export_graphviz can be converted into png format: https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-output.JPG Sample attribute stands for the number of training instances the node applies to. Value attribute stands for the number of training instances of each class the node applies to. Gini impurity measures the node’s impurity. A node is “pure” (gini=0) if all training instances it applies to belong to the same class. https://www.simplilearn.com/ice9/free_resources_article_thumb/impurity-formula-machine-learning.JPG For example, for Versicolor (green color node), the Gini is 1-(0/54)2 -(49/54)2 -(5/54) 2 ≈ 0.168 https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-sample.JPG Decision Boundaries Let us learn to create decision boundaries below. For the first node (depth 0), the solid line splits the data (Iris-Setosa on left). Gini is 0 for Setosa node, so no further split is possible. The second node (depth 1) splits the data into Versicolor and Virginica. If max_depth were set as 3, a third split would happen (vertical dotted line). https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-boundaries.JPG For a sample with petal length 5 cm and petal width 1.5 cm, the tree traverses to depth 2 left node, so the probability predictions for this sample are 0% for Iris-Setosa (0/54), 90.7% for Iris-Versicolor (49/54), and 9.3% for Iris-Virginica (5/54) CART Training Algorithm Scikit-learn uses Classification and Regression Trees (CART) algorithm to train Decision Trees. CART algorithm: Split the data into two subsets using a single feature k and threshold tk (example, petal length < “2.45 cm”). This is done recursively for each node. k and tk are chosen such that they produce the purest subsets (weighted by their size). The objective is to minimize the cost function as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/cart-training-algorithm-machine-learning.JPG The algorithm stops executing if one of the following situations occurs: max_depth is reached No further splits are found for each node Other hyperparameters may be used to stop the tree: min_samples_split min_samples_leaf min_weight_fraction_leaf max_leaf_nodes Gini Impurity or Entropy Entropy is one more measure of impurity and can be used in place of Gini. https://www.simplilearn.com/ice9/free_resources_article_thumb/gini-impurity-entrophy.JPG It is a degree of uncertainty, and Information Gain is the reduction that occurs in entropy as one traverses down the tree. Entropy is zero for a DT node when the node contains instances of only one class. Entropy for depth 2 left node in the example given above is: https://www.simplilearn.com/ice9/free_resources_article_thumb/entrophy-for-depth-2.JPG Gini and Entropy both lead to similar trees. DT: Regularization The following figure shows two decision trees on the moons dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/dt-regularization-machine-learning.JPG The decision tree on the right is restricted by min_samples_leaf = 4. The model on the left is overfitting, while the model on the right generalizes better. Random Forest Classifier Let us have an understanding of Random Forest Classifier below. A random forest can be considered an ensemble of decision trees (Ensemble learning). Random Forest algorithm: Draw a random bootstrap sample of size n (randomly choose n samples from the training set). Grow a decision tree from the bootstrap sample. At each node, randomly select d features. Split the node using the feature that provides the best split according to the objective function, for instance by maximizing the information gain. Repeat the steps 1 to 2 k times. (k is the number of trees you want to create, using a subset of samples) Aggregate the prediction by each tree for a new data point to assign the class label by majority vote (pick the group selected by the most number of trees and assign new data point to that group). Random Forests are opaque, which means it is difficult to visualize their inner workings. https://www.simplilearn.com/ice9/free_resources_article_thumb/random-forest-classifier-graph.JPG However, the advantages outweigh their limitations since you do not have to worry about hyperparameters except k, which stands for the number of decision trees to be created from a subset of samples. RF is quite robust to noise from the individual decision trees. Hence, you need not prune individual decision trees. The larger the number of decision trees, the more accurate the Random Forest prediction is. (This, however, comes with higher computation cost). Key Takeaways Let us quickly run through what we have learned so far in this Classification tutorial. Classification algorithms are supervised learning methods to split data into classes. They can work on Linear Data as well as Nonlinear Data. Logistic Regression can classify data based on weighted parameters and sigmoid conversion to calculate the probability of classes. K-nearest Neighbors (KNN) algorithm uses similar features to classify data. Support Vector Machines (SVMs) classify data by detecting the maximum margin hyperplane between data classes. Naïve Bayes, a simplified Bayes Model, can help classify data using conditional probability models. Decision Trees are powerful classifiers and use tree splitting logic until pure or somewhat pure leaf node classes are attained. Random Forests apply Ensemble Learning to Decision Trees for more accurate classification predictions. Conclusion This completes ‘Classification’ tutorial. In the next tutorial, we will learn 'Unsupervised Learning with Clustering.'
chrisneagu / FTC Skystone Dark Angels Romania 2020NOTICE This repository contains the public FTC SDK for the SKYSTONE (2019-2020) competition season. If you are looking for the current season's FTC SDK software, please visit the new and permanent home of the public FTC SDK: FtcRobotController repository Welcome! This GitHub repository contains the source code that is used to build an Android app to control a FIRST Tech Challenge competition robot. To use this SDK, download/clone the entire project to your local computer. Getting Started If you are new to robotics or new to the FIRST Tech Challenge, then you should consider reviewing the FTC Blocks Tutorial to get familiar with how to use the control system: FTC Blocks Online Tutorial Even if you are an advanced Java programmer, it is helpful to start with the FTC Blocks tutorial, and then migrate to the OnBot Java Tool or to Android Studio afterwards. Downloading the Project If you are an Android Studio programmer, there are several ways to download this repo. Note that if you use the Blocks or OnBot Java Tool to program your robot, then you do not need to download this repository. If you are a git user, you can clone the most current version of the repository: git clone https://github.com/FIRST-Tech-Challenge/SKYSTONE.git Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a .ZIP file will keep the size of the download manageable. You can also download the project folder (as a .zip or .tar.gz archive file) from the Downloads subsection of the Releases page for this repository. Once you have downloaded and uncompressed (if needed) your folder, you can use Android Studio to import the folder ("Import project (Eclipse ADT, Gradle, etc.)"). Getting Help User Documentation and Tutorials FIRST maintains online documentation with information and tutorials on how to use the FIRST Tech Challenge software and robot control system. You can access this documentation using the following link: SKYSTONE Online Documentation Note that the online documentation is an "evergreen" document that is constantly being updated and edited. It contains the most current information about the FIRST Tech Challenge software and control system. Javadoc Reference Material The Javadoc reference documentation for the FTC SDK is now available online. Click on the following link to view the FTC SDK Javadoc documentation as a live website: FTC Javadoc Documentation Documentation for the FTC SDK is also included with this repository. There is a subfolder called "doc" which contains several subfolders: The folder "apk" contains the .apk files for the FTC Driver Station and FTC Robot Controller apps. The folder "javadoc" contains the JavaDoc user documentation for the FTC SDK. Online User Forum For technical questions regarding the Control System or the FTC SDK, please visit the FTC Technology forum: FTC Technology Forum Release Information Version 5.5 (20200824-090813) Version 5.5 requires Android Studio 4.0 or later. New features Adds support for calling custom Java classes from Blocks OpModes (fixes SkyStone issue #161). Classes must be in the org.firstinspires.ftc.teamcode package. Methods must be public static and have no more than 21 parameters. Parameters declared as OpMode, LinearOpMode, Telemetry, and HardwareMap are supported and the argument is provided automatically, regardless of the order of the parameters. On the block, the sockets for those parameters are automatically filled in. Parameters declared as char or java.lang.Character will accept any block that returns text and will only use the first character in the text. Parameters declared as boolean or java.lang.Boolean will accept any block that returns boolean. Parameters declared as byte, java.lang.Byte, short, java.lang.Short, int, java.lang.Integer, long, or java.lang.Long, will accept any block that returns a number and will round that value to the nearest whole number. Parameters declared as float, java.lang.Float, double, java.lang.Double will accept any block that returns a number. Adds telemetry API method for setting display format Classic Monospace HTML (certain tags only) Adds blocks support for switching cameras. Adds Blocks support for TensorFlow Object Detection with a custom model. Adds support for uploading a custom TensorFlow Object Detection model in the Manage page, which is especially useful for Blocks and OnBotJava users. Shows new Control Hub blink codes when the WiFi band is switched using the Control Hub's button (only possible on Control Hub OS 1.1.2) Adds new warnings which can be disabled in the Advanced RC Settings Mismatched app versions warning Unnecessary 2.4 GHz WiFi usage warning REV Hub is running outdated firmware (older than version 1.8.2) Adds support for Sony PS4 gamepad, and reworks how gamepads work on the Driver Station Removes preference which sets gamepad type based on driver position. Replaced with menu which allows specifying type for gamepads with unknown VID and PID Attempts to auto-detect gamepad type based on USB VID and PID If gamepad VID and PID is not known, use type specified by user for that VID and PID If gamepad VID and PID is not known AND the user has not specified a type for that VID and PID, an educated guess is made about how to map the gamepad Driver Station will now attempt to automatically recover from a gamepad disconnecting, and re-assign it to the position it was assigned to when it dropped If only one gamepad is assigned and it drops: it can be recovered If two gamepads are assigned, and have different VID/PID signatures, and only one drops: it will be recovered If two gamepads are assigned, and have different VID/PID signatures, and BOTH drop: both will be recovered If two gamepads are assigned, and have the same VID/PID signatures, and only one drops: it will be recovered If two gamepads are assigned, and have the same VID/PID signatures, and BOTH drop: neither will be recovered, because of the ambiguity of the gamepads when they re-appear on the USB bus. There is currently one known edge case: if there are two gamepads with the same VID/PID signature plugged in, but only one is assigned, and they BOTH drop, it's a 50-50 chance of which one will be chosen for automatic recovery to the assigned position: it is determined by whichever one is re-enumerated first by the USB bus controller. Adds landscape user interface to Driver Station New feature: practice timer with audio cues New feature (Control Hub only): wireless network connection strength indicator (0-5 bars) New feature (Control Hub only): tapping on the ping/channel display will switch to an alternate display showing radio RX dBm and link speed (tap again to switch back) The layout will NOT autorotate. You can switch the layout from the Driver Station's settings menu. Breaking changes Removes support for Android versions 4.4 through 5.1 (KitKat and Lollipop). The minSdkVersion is now 23. Removes the deprecated LinearOpMode methods waitOneFullHardwareCycle() and waitForNextHardwareCycle() Enhancements Handles RS485 address of Control Hub automatically The Control Hub is automatically given a reserved address Existing configuration files will continue to work All addresses in the range of 1-10 are still available for Expansion Hubs The Control Hub light will now normally be solid green, without blinking to indicate the address The Control Hub will not be shown on the Expansion Hub Address Change settings page Improves REV Hub firmware updater The user can now choose between all available firmware update files Version 1.8.2 of the REV Hub firmware is bundled into the Robot Controller app. Text was added to clarify that Expansion Hubs can only be updated via USB. Firmware update speed was reduced to improve reliability Allows REV Hub firmware to be updated directly from the Manage webpage Improves log viewer on Robot Controller Horizontal scrolling support (no longer word wrapped) Supports pinch-to-zoom Uses a monospaced font Error messages are highlighted New color scheme Attempts to force-stop a runaway/stuck OpMode without restarting the entire app Not all types of runaway conditions are stoppable, but if the user code attempts to talk to hardware during the runaway, the system should be able to capture it. Makes various tweaks to the Self Inspect screen Renames "OS version" entry to "Android version" Renames "WiFi Direct Name" to "WiFi Name" Adds Control Hub OS version, when viewing the report of a Control Hub Hides the airplane mode entry, when viewing the report of a Control Hub Removes check for ZTE Speed Channel Changer Shows firmware version for all Expansion and Control Hubs Reworks network settings portion of Manage page All network settings are now applied with a single click The WiFi Direct channel of phone-based Robot Controllers can now be changed from the Manage page WiFi channels are filtered by band (2.4 vs 5 GHz) and whether they overlap with other channels The current WiFi channel is pre-selected on phone-based Robot Controllers, and Control Hubs running OS 1.1.2 or later. On Control Hubs running OS 1.1.2 or later, you can choose to have the system automatically select a channel on the 5 GHz band Improves OnBotJava New light and dark themes replace the old themes (chaos, github, chrome,...) the new default theme is light and will be used when you first update to this version OnBotJava now has a tabbed editor Read-only offline mode Improves function of "exit" menu item on Robot Controller and Driver Station Now guaranteed to be fully stopped and unloaded from memory Shows a warning message if a LinearOpMode exists prematurely due to failure to monitor for the start condition Improves error message shown when the Driver Station and Robot Controller are incompatible with each other Driver Station OpMode Control Panel now disabled while a Restart Robot is in progress Disables advanced settings related to WiFi direct when the Robot Controller is a Control Hub. Tint phone battery icons on Driver Station when low/critical. Uses names "Control Hub Portal" and "Control Hub" (when appropriate) in new configuration files Improve I2C read performance Very large improvement on Control Hub; up to ~2x faster with small (e.g. 6 byte) reads Not as apparent on Expansion Hubs connected to a phone Update/refresh build infrastructure Update to 'androidx' support library from 'com.android.support:appcompat', which is end-of-life Update targetSdkVersion and compileSdkVersion to 28 Update Android Studio's Android plugin to latest Fix reported build timestamp in 'About' screen Add sample illustrating manual webcam use: ConceptWebcam Bug fixes Fixes SkyStone issue #248 Fixes SkyStone issue #232 and modifies bulk caching semantics to allow for cache-preserving MANUAL/AUTO transitions. Improves performance when REV 2M distance sensor is unplugged Improves readability of Toast messages on certain devices Allows a Driver Station to connect to a Robot Controller after another has disconnected Improves generation of fake serial numbers for UVC cameras which do not provide a real serial number Previously some devices would assign such cameras a serial of 0:0 and fail to open and start streaming Fixes ftc_app issue #638. Fixes a slew of bugs with the Vuforia camera monitor including: Fixes bug where preview could be displayed with a wonky aspect ratio Fixes bug where preview could be cut off in landscape Fixes bug where preview got totally messed up when rotating phone Fixes bug where crosshair could drift off target when using webcams Fixes issue in UVC driver on some devices (ftc_app 681) if streaming was started/stopped multiple times in a row Issue manifested as kernel panic on devices which do not have this kernel patch. On affected devices which do have the patch, the issue was manifest as simply a failure to start streaming. The Tech Team believes that the root cause of the issue is a bug in the Linux kernel XHCI driver. A workaround was implemented in the SDK UVC driver. Fixes bug in UVC driver where often half the frames from the camera would be dropped (e.g. only 15FPS delivered during a streaming session configured for 30FPS). Fixes issue where TensorFlow Object Detection would show results whose confidence was lower than the minimum confidence parameter. Fixes a potential exploitation issue of CVE-2019-11358 in OnBotJava Fixes changing the address of an Expansion Hub with additional Expansion Hubs connected to it Preserves the Control Hub's network connection when "Restart Robot" is selected Fixes issue where device scans would fail while the Robot was restarting Fix RenderScript usage Use androidx.renderscript variant: increased compatibility Use RenderScript in Java mode, not native: simplifies build Fixes webcam-frame-to-bitmap conversion problem: alpha channel wasn't being initialized, only R, G, & B Fixes possible arithmetic overflow in Deadline Fixes deadlock in Vuforia webcam support which could cause 5-second delays when stopping OpMode Version 5.4 (20200108-101156) Fixes SkyStone issue #88 Adds an inspection item that notes when a robot controller (Control Hub) is using the factory default password. Fixes SkyStone issue #61 Fixes SkyStone issue #142 Fixes ftc_app issue #417 by adding more current and voltage monitoring capabilities for REV Hubs. Fixes a crash sometimes caused by OnBotJava activity Improves OnBotJava autosave functionality ftc_app #738 Fixes system responsiveness issue when an Expansion Hub is disconnected Fixes issue where IMU initialization could prevent Op Modes from stopping Fixes issue where AndroidTextToSpeech.speak() would fail if it was called too early Adds telemetry.speak() methods and blocks, which cause the Driver Station (if also updated) to speak text Adds and improves Expansion Hub-related warnings Improves Expansion Hub low battery warning Displays the warning immediately after the hub reports it Specifies whether the condition is current or occurred temporarily during an OpMode run Displays which hubs reported low battery Displays warning when hub loses and regains power during an OpMode run Fixes the hub's LED pattern after this condition Displays warning when Expansion Hub is not responding to commands Specifies whether the condition is current or occurred temporarily during an OpMode run Clarifies warning when Expansion Hub is not present at startup Specifies that this condition requires a Robot Restart before the hub can be used. The hub light will now accurately reflect this state Improves logging and reduces log spam during these conditions Syncs the Control Hub time and timezone to a connected web browser programming the robot, if a Driver Station is not available. Adds bulk read functionality for REV Hubs A bulk caching mode must be set at the Hub level with LynxModule#setBulkCachingMode(). This applies to all relevant SDK hardware classes that reference that Hub. The following following Hub bulk caching modes are available: BulkCachingMode.OFF (default): All hardware calls operate as usual. Bulk data can read through LynxModule#getBulkData() and processed manually. BulkCachingMode.AUTO: Applicable hardware calls are served from a bulk read cache that is cleared/refreshed automatically to ensure identical commands don't hit the same cache. The cache can also be cleared manually with LynxModule#clearBulkCache(), although this is not recommended. (advanced users) BulkCachingMode.MANUAL: Same as BulkCachingMode.AUTO except the cache is never cleared automatically. To avoid getting stale data, the cache must be manually cleared at the beginning of each loop body or as the user deems appropriate. Removes PIDF Annotation values added in Rev 5.3 (to AndyMark, goBILDA and TETRIX motor configurations). The new motor types will still be available but their Default control behavior will revert back to Rev 5.2 Adds new ConceptMotorBulkRead sample Opmode to demonstrate and compare Motor Bulk-Read modes for reducing I/O latencies. Version 5.3 (20191004-112306) Fixes external USB/UVC webcam support Makes various bugfixes and improvements to Blocks page, including but not limited to: Many visual tweaks Browser zoom and window resize behave better Resizing the Java preview pane works better and more consistently across browsers The Java preview pane consistently gets scrollbars when needed The Java preview pane is hidden by default on phones Internet Explorer 11 should work Large dropdown lists display properly on lower res screens Disabled buttons are now visually identifiable as disabled A warning is shown if a user selects a TFOD sample, but their device is not compatible Warning messages in a Blocks op mode are now visible by default. Adds goBILDA 5201 and 5202 motors to Robot Configurator Adds PIDF Annotation values to AndyMark, goBILDA and TETRIX motor configurations. This has the effect of causing the RUN_USING_ENCODERS and RUN_TO_POSITION modes to use PIDF vs PID closed loop control on these motors. This should provide more responsive, yet stable, speed control. PIDF adds Feedforward control to the basic PID control loop. Feedforward is useful when controlling a motor's speed because it "anticipates" how much the control voltage must change to achieve a new speed set-point, rather than requiring the integrated error to change sufficiently. The PIDF values were chosen to provide responsive, yet stable, speed control on a lightly loaded motor. The more heavily a motor is loaded (drag or friction), the more noticable the PIDF improvement will be. Fixes startup crash on Android 10 Fixes ftc_app issue #712 (thanks to FROGbots-4634) Fixes ftc_app issue #542 Allows "A" and lowercase letters when naming device through RC and DS apps. Version 5.2 (20190905-083277) Fixes extra-wide margins on settings activities, and placement of the new configuration button Adds Skystone Vuforia image target data. Includes sample Skystone Vuforia Navigation op modes (Java). Includes sample Skystone Vuforia Navigation op modes (Blocks). Adds TensorFlow inference model (.tflite) for Skystone game elements. Includes sample Skystone TensorFlow op modes (Java). Includes sample Skystone TensorFlow op modes (Blocks). Removes older (season-specific) sample op modes. Includes 64-bit support (to comply with Google Play requirements). Protects against Stuck OpModes when a Restart Robot is requested. (Thanks to FROGbots-4634) (ftc_app issue #709) Blocks related changes: Fixes bug with blocks generated code when hardware device name is a java or javascript reserved word. Shows generated java code for blocks, even when hardware items are missing from the active configuration. Displays warning icon when outdated Vuforia and TensorFlow blocks are used (SkyStone issue #27) Version 5.1 (20190820-222104) Defines default PIDF parameters for the following motors: REV Core Hex Motor REV 20:1 HD Hex Motor REV 40:1 HD Hex Motor Adds back button when running on a device without a system back button (such as a Control Hub) Allows a REV Control Hub to update the firmware on a REV Expansion Hub via USB Fixes SkyStone issue #9 Fixes ftc_app issue #715 Prevents extra DS User clicks by filtering based on current state. Prevents incorrect DS UI state changes when receiving new OpMode list from RC Adds support for REV Color Sensor V3 Adds a manual-refresh DS Camera Stream for remotely viewing RC camera frames. To show the stream on the DS, initialize but do not run a stream-enabled opmode, select the Camera Stream option in the DS menu, and tap the image to refresh. This feature is automatically enabled when using Vuforia or TFOD—no additional RC configuration is required for typical use cases. To hide the stream, select the same menu item again. Note that gamepads are disabled and the selected opmode cannot be started while the stream is open as a safety precaution. To use custom streams, consult the API docs for CameraStreamServer#setSource and CameraStreamSource. Adds many Star Wars sounds to RobotController resources. Added SKYSTONE Sounds Chooser Sample Program. Switches out startup, connect chimes, and error/warning sounds for Star Wars sounds Updates OnBot Java to use a WebSocket for communication with the robot The OnBot Java page no longer has to do a full refresh when a user switches from editing one file to another Known issues: Camera Stream The Vuforia camera stream inherits the issues present in the phone preview (namely ftc_app issue #574). This problem does not affect the TFOD camera stream even though it receives frames from Vuforia. The orientation of the stream frames may not always match the phone preview. For now, these frames may be rotated manually via a custom CameraStreamSource if desired. OnBotJava Browser back button may not always work correctly It's possible for a build to be queued, but not started. The OnBot Java build console will display a warning if this occurs. A user might not realize they are editing a different file if the user inadvertently switches from one file to another since this switch is now seamless. The name of the currently open file is displayed in the browser tab. Version 5.0 (built on 19.06.14) Support for the REV Robotics Control Hub. Adds a Java preview pane to the Blocks editor. Adds a new offline export feature to the Blocks editor. Display wifi channel in Network circle on Driver Station. Adds calibration for Logitech C270 Updates build tooling and target SDK. Compliance with Google's permissions infrastructure (Required after build tooling update). Keep Alives to mitigate the Motorola wifi scanning problem. Telemetry substitute no longer necessary. Improves Vuforia error reporting. Fixes ftctechnh/ftc_app issues 621, 713. Miscellaneous bug fixes and improvements. Version 4.3 (built on 18.10.31) Includes missing TensorFlow-related libraries and files. Version 4.2 (built on 18.10.30) Includes fix to avoid deadlock situation with WatchdogMonitor which could result in USB communication errors. Comm error appeared to require that user disconnect USB cable and restart the Robot Controller app to recover. robotControllerLog.txt would have error messages that included the words "E RobotCore: lynx xmit lock: #### abandoning lock:" Includes fix to correctly list the parent module address for a REV Robotics Expansion Hub in a configuration (.xml) file. Bug in versions 4.0 and 4.1 would incorrect list the address module for a parent REV Robotics device as "1". If the parent module had a higher address value than the daisy-chained module, then this bug would prevent the Robot Controller from communicating with the downstream Expansion Hub. Added requirement for ACCESS_COARSE_LOCATION to allow a Driver Station running Android Oreo to scan for Wi-Fi Direct devices. Added google() repo to build.gradle because aapt2 must be downloaded from the google() repository beginning with version 3.2 of the Android Gradle Plugin. Important Note: Android Studio users will need to be connected to the Internet the first time build the ftc_app project. Internet connectivity is required for the first build so the appropriate files can be downloaded from the Google repository. Users should not need to be connected to the Internet for subsequent builds. This should also fix buid issue where Android Studio would complain that it "Could not find com.android.tools.lint:lint-gradle:26.1.4" (or similar). Added support for REV Spark Mini motor controller as part of the configuration menu for a servo/PWM port on the REV Expansion Hub. Provide examples for playing audio files in an Op Mode. Block Development Tool Changes Includes a fix for a problem with the Velocity blocks that were reported in the FTC Technology forum (Blocks Programming subforum). Change the "Save completed successfully." message to a white color so it will contrast with a green background. Fixed the "Download image" feature so it will work if there are text blocks in the op mode. Introduce support for Google's TensorFlow Lite technology for object detetion for 2018-2019 game. TensorFlow lite can recognize Gold Mineral and Silver Mineral from 2018-2019 game. Example Java and Block op modes are included to show how to determine the relative position of the gold block (left, center, right). Version 4.1 (released on 18.09.24) Changes include: Fix to prevent crash when deprecated configuration annotations are used. Change to allow FTC Robot Controller APK to be auto-updated using FIRST Global Control Hub update scripts. Removed samples for non supported / non legal hardware. Improvements to Telemetry.addData block with "text" socket. Updated Blocks sample op mode list to include Rover Ruckus Vuforia example. Update SDK library version number. Version 4.0 (released on 18.09.12) Changes include: Initial support for UVC compatible cameras If UVC camera has a unique serial number, RC will detect and enumerate by serial number. If UVC camera lacks a unique serial number, RC will only support one camera of that type connected. Calibration settings for a few cameras are included (see TeamCode/src/main/res/xml/teamwebcamcalibrations.xml for details). User can upload calibration files from Program and Manage web interface. UVC cameras seem to draw a fair amount of electrical current from the USB bus. This does not appear to present any problems for the REV Robotics Control Hub. This does seem to create stability problems when using some cameras with an Android phone-based Robot Controller. FTC Tech Team is investigating options to mitigate this issue with the phone-based Robot Controllers. Updated sample Vuforia Navigation and VuMark Op Modes to demonstrate how to use an internal phone-based camera and an external UVC webcam. Support for improved motor control. REV Robotics Expansion Hub firmware 1.8 and greater will support a feed forward mechanism for closed loop motor control. FTC SDK has been modified to support PIDF coefficients (proportional, integral, derivative, and feed forward). FTC Blocks development tool modified to include PIDF programming blocks. Deprecated older PID-related methods and variables. REV's 1.8.x PIDF-related changes provide a more linear and accurate way to control a motor. Wireless Added 5GHz support for wireless channel changing for those devices that support it. Tested with Moto G5 and E4 phones. Also tested with other (currently non-approved) phones such as Samsung Galaxy S8. Improved Expansion Hub firmware update support in Robot Controller app Changes to make the system more robust during the firmware update process (when performed through Robot Controller app). User no longer has to disconnect a downstream daisy-chained Expansion Hub when updating an Expansion Hub's firmware. If user is updating an Expansion Hub's firmware through a USB connection, he/she does not have to disconnect RS485 connection to other Expansion Hubs. The user still must use a USB connection to update an Expansion Hub's firmware. The user cannot update the Expansion Hub firmware for a downstream device that is daisy chained through an RS485 connection. If an Expansion Hub accidentally gets "bricked" the Robot Controller app is now more likely to recognize the Hub when it scans the USB bus. Robot Controller app should be able to detect an Expansion Hub, even if it accidentally was bricked in a previous update attempt. Robot Controller app should be able to install the firmware onto the Hub, even if if accidentally was bricked in a previous update attempt. Resiliency FTC software can detect and enable an FTDI reset feature that is available with REV Robotics v1.8 Expansion Hub firmware and greater. When enabled, the Expansion Hub can detect if it hasn't communicated with the Robot Controller over the FTDI (USB) connection. If the Hub hasn't heard from the Robot Controller in a while, it will reset the FTDI connection. This action helps system recover from some ESD-induced disruptions. Various fixes to improve reliability of FTC software. Blocks Fixed errors with string and list indices in blocks export to java. Support for USB connected UVC webcams. Refactored optimized Blocks Vuforia code to support Rover Ruckus image targets. Added programming blocks to support PIDF (proportional, integral, derivative and feed forward) motor control. Added formatting options (under Telemetry and Miscellaneous categories) so user can set how many decimal places to display a numerical value. Support to play audio files (which are uploaded through Blocks web interface) on Driver Station in addition to the Robot Controller. Fixed bug with Download Image of Blocks feature. Support for REV Robotics Blinkin LED Controller. Support for REV Robotics 2m Distance Sensor. Added support for a REV Touch Sensor (no longer have to configure as a generic digital device). Added blocks for DcMotorEx methods. These are enhanced methods that you can use when supported by the motor controller hardware. The REV Robotics Expansion Hub supports these enhanced methods. Enhanced methods include methods to get/set motor velocity (in encoder pulses per second), get/set PIDF coefficients, etc.. Modest Improvements in Logging Decrease frequency of battery checker voltage statements. Removed non-FTC related log statements (wherever possible). Introduced a "Match Logging" feature. Under "Settings" a user can enable/disable this feature (it's disabled by default). If enabled, user provides a "Match Number" through the Driver Station user interface (top of the screen). The Match Number is used to create a log file specifically with log statements from that particular Op Mode run. Match log files are stored in /sdcard/FIRST/matlogs on the Robot Controller. Once an op mode run is complete, the Match Number is cleared. This is a convenient way to create a separate match log with statements only related to a specific op mode run. New Devices Support for REV Robotics Blinkin LED Controller. Support for REV Robotics 2m Distance Sensor. Added configuration option for REV 20:1 HD Hex Motor. Added support for a REV Touch Sensor (no longer have to configure as a generic digital device). Miscellaneous Fixed some errors in the definitions for acceleration and velocity in our javadoc documentation. Added ability to play audio files on Driver Station When user is configuring an Expansion Hub, the LED on the Expansion Hub will change blink pattern (purple-cyan) to indicate which Hub is currently being configured. Renamed I2cSensorType to I2cDeviceType. Added an external sample Op Mode that demonstrates localization using 2018-2019 (Rover Ruckus presented by QualComm) Vuforia targets. Added an external sample Op Mode that demonstrates how to use the REV Robotics 2m Laser Distance Sensor. Added an external sample Op Mode that demonstrates how to use the REV Robotics Blinkin LED Controller. Re-categorized external Java sample Op Modes to "TeleOp" instead of "Autonomous". Known issues: Initial support for UVC compatible cameras UVC cameras seem to draw significant amount of current from the USB bus. This does not appear to present any problems for the REV Robotics Control Hub. This does seem to create stability problems when using some cameras with an Android phone-based Robot Controller. FTC Tech Team is investigating options to mitigate this issue with the phone-based Robot Controllers. There might be a possible deadlock which causes the RC to become unresponsive when using a UVC webcam with a Nougat Android Robot Controller. Wireless When user selects a wireless channel, this channel does not necessarily persist if the phone is power cycled. Tech Team is hoping to eventually address this issue in a future release. Issue has been present since apps were introduced (i.e., it is not new with the v4.0 release). Wireless channel is not currently displayed for WiFi Direct connections. Miscellaneous The blink indication feature that shows which Expansion Hub is currently being configured does not work for a newly created configuration file. User has to first save a newly created configuration file and then close and re-edit the file in order for blink indicator to work. Version 3.6 (built on 17.12.18) Changes include: Blocks Changes Uses updated Google Blockly software to allow users to edit their op modes on Apple iOS devices (including iPad and iPhone). Improvement in Blocks tool to handle corrupt op mode files. Autonomous op modes should no longer get switched back to tele-op after re-opening them to be edited. The system can now detect type mismatches during runtime and alert the user with a message on the Driver Station. Updated javadoc documentation for setPower() method to reflect correct range of values (-1 to +1). Modified VuforiaLocalizerImpl to allow for user rendering of frames Added a user-overrideable onRenderFrame() method which gets called by the class's renderFrame() method. Version 3.5 (built on 17.10.30) Changes with version 3.5 include: Introduced a fix to prevent random op mode stops, which can occur after the Robot Controller app has been paused and then resumed (for example, when a user temporarily turns off the display of the Robot Controller phone, and then turns the screen back on). Introduced a fix to prevent random op mode stops, which were previously caused by random peer disconnect events on the Driver Station. Fixes issue where log files would be closed on pause of the RC or DS, but not re-opened upon resume. Fixes issue with battery handler (voltage) start/stop race. Fixes issue where Android Studio generated op modes would disappear from available list in certain situations. Fixes problem where OnBot Java would not build on REV Robotics Control Hub. Fixes problem where OnBot Java would not build if the date and time on the Robot Controller device was "rewound" (set to an earlier date/time). Improved error message on OnBot Java that occurs when renaming a file fails. Removed unneeded resources from android.jar binaries used by OnBot Java to reduce final size of Robot Controller app. Added MR_ANALOG_TOUCH_SENSOR block to Blocks Programming Tool. Version 3.4 (built on 17.09.06) Changes with version 3.4 include: Added telemetry.update() statement for BlankLinearOpMode template. Renamed sample Block op modes to be more consistent with Java samples. Added some additional sample Block op modes. Reworded OnBot Java readme slightly. Version 3.3 (built on 17.09.04) This version of the software includes improves for the FTC Blocks Programming Tool and the OnBot Java Programming Tool. Changes with verion 3.3 include: Android Studio ftc_app project has been updated to use Gradle Plugin 2.3.3. Android Studio ftc_app project is already using gradle 3.5 distribution. Robot Controller log has been renamed to /sdcard/RobotControllerLog.txt (note that this change was actually introduced w/ v3.2). Improvements in I2C reliability. Optimized I2C read for REV Expansion Hub, with v1.7 firmware or greater. Updated all external/samples (available through OnBot and in Android project folder). Vuforia Added support for VuMarks that will be used for the 2017-2018 season game. Blocks Update to latest Google Blockly release. Sample op modes can be selected as a template when creating new op mode. Fixed bug where the blocks would disappear temporarily when mouse button is held down. Added blocks for Range.clip and Range.scale. User can now disable/enable Block op modes. Fix to prevent occasional Blocks deadlock. OnBot Java Significant improvements with autocomplete function for OnBot Java editor. Sample op modes can be selected as a template when creating new op mode. Fixes and changes to complete hardware setup feature. Updated (and more useful) onBot welcome message. Known issues: Android Studio After updating to the new v3.3 Android Studio project folder, if you get error messages indicating "InvalidVirtualFileAccessException" then you might need to do a File->Invalidate Caches / Restart to clear the error. OnBot Java Sometimes when you push the build button to build all op modes, the RC returns an error message that the build failed. If you press the build button a second time, the build typically suceeds. Version 3.2 (built on 17.08.02) This version of the software introduces the "OnBot Java" Development Tool. Similar to the FTC Blocks Development Tool, the FTC OnBot Java Development Tool allows a user to create, edit and build op modes dynamically using only a Javascript-enabled web browser. The OnBot Java Development Tool is an integrated development environment (IDE) that is served up by the Robot Controller. Op modes are created and edited using a Javascript-enabled browser (Google Chromse is recommended). Op modes are saved on the Robot Controller Android device directly. The OnBot Java Development Tool provides a Java programming environment that does NOT need Android Studio. Changes with version 3.2 include: Enhanced web-based development tools Introduction of OnBot Java Development Tool. Web-based programming and management features are "always on" (user no longer needs to put Robot Controller into programming mode). Web-based management interface (where user can change Robot Controller name and also easily download Robot Controller log file). OnBot Java, Blocks and Management features available from web based interface. Blocks Programming Development Tool: Changed "LynxI2cColorRangeSensor" block to "REV Color/range sensor" block. Fixed tooltip for ColorSensor.isLightOn block. Added blocks for ColorSensor.getNormalizedColors and LynxI2cColorRangeSensor.getNormalizedColors. Added example op modes for digital touch sensor and REV Robotics Color Distance sensor. User selectable color themes. Includes many minor enhancements and fixes (too numerous to list). Known issues: Auto complete function is incomplete and does not support the following (for now): Access via this keyword Access via super keyword Members of the super cloass, not overridden by the class Any methods provided in the current class Inner classes Can't handle casted objects Any objects coming from an parenthetically enclosed expression Version 3.10 (built on 17.05.09) This version of the software provides support for the REV Robotics Expansion Hub. This version also includes improvements in the USB communication layer in an effort to enhance system resiliency. If you were using a 2.x version of the software previously, updating to version 3.1 requires that you also update your Driver Station software in addition to updating the Robot Controller software. Also note that in version 3.10 software, the setMaxSpeed and getMaxSpeed methods are no longer available (not deprecated, they have been removed from the SDK). Also note that the the new 3.x software incorporates motor profiles that a user can select as he/she configures the robot. Changes include: Blocks changes Added VuforiaTrackableDefaultListener.getPose and Vuforia.trackPose blocks. Added optimized blocks support for Vuforia extended tracking. Added atan2 block to the math category. Added useCompetitionFieldTargetLocations parameter to Vuforia.initialize block. If set to false, the target locations are placed at (0,0,0) with target orientation as specified in https://github.com/gearsincorg/FTCVuforiaDemo/blob/master/Robot_Navigation.java tutorial op mode. Incorporates additional improvements to USB comm layer to improve system resiliency (to recover from a greater number of communication disruptions). Additional Notes Regarding Version 3.00 (built on 17.04.13) In addition to the release changes listed below (see section labeled "Version 3.00 (built on 17.04.013)"), version 3.00 has the following important changes: Version 3.00 software uses a new version of the FTC Robocol (robot protocol). If you upgrade to v3.0 on the Robot Controller and/or Android Studio side, you must also upgrade the Driver Station software to match the new Robocol. Version 3.00 software removes the setMaxSpeed and getMaxSpeed methods from the DcMotor class. If you have an op mode that formerly used these methods, you will need to remove the references/calls to these methods. Instead, v3.0 provides the max speed information through the use of motor profiles that are selected by the user during robot configuration. Version 3.00 software currently does not have a mechanism to disable extra i2c sensors. We hope to re-introduce this function with a release in the near future. Version 3.00 (built on 17.04.13) *** Use this version of the software at YOUR OWN RISK!!! *** This software is being released as an "alpha" version. Use this version at your own risk! This pre-release software contains SIGNIFICANT changes, including changes to the Wi-Fi Direct pairing mechanism, rewrites of the I2C sensor classes, changes to the USB/FTDI layer, and the introduction of support for the REV Robotics Expansion Hub and the REV Robotics color-range-light sensor. These changes were implemented to improve the reliability and resiliency of the FTC control system. Please note, however, that version 3.00 is considered "alpha" code. This code is being released so that the FIRST community will have an opportunity to test the new REV Expansion Hub electronics module when it becomes available in May. The developers do not recommend using this code for critical applications (i.e., competition use). *** Use this version of the software at YOUR OWN RISK!!! *** Changes include: Major rework of sensor-related infrastructure. Includes rewriting sensor classes to implement synchronous I2C communication. Fix to reset Autonomous timer back to 30 seconds. Implementation of specific motor profiles for approved 12V motors (includes Tetrix, AndyMark, Matrix and REV models). Modest improvements to enhance Wi-Fi P2P pairing. Fixes telemetry log addition race. Publishes all the sources (not just a select few). Includes Block programming improvements Addition of optimized Vuforia blocks. Auto scrollbar to projects and sounds pages. Fixed blocks paste bug. Blocks execute after while-opModeIsActive loop (to allow for cleanup before exiting op mode). Added gyro integratedZValue block. Fixes bug with projects page for Firefox browser. Added IsSpeaking block to AndroidTextToSpeech. Implements support for the REV Robotics Expansion Hub Implements support for integral REV IMU (physically installed on I2C bus 0, uses same Bosch BNO055 9 axis absolute orientation sensor as Adafruit 9DOF abs orientation sensor). - Implements support for REV color/range/light sensor. Provides support to update Expansion Hub firmware through FTC SDK. Detects REV firmware version and records in log file. Includes support for REV Control Hub (note that the REV Control Hub is not yet approved for FTC use). Implements FTC Blocks programming support for REV Expansion Hub and sensor hardware. Detects and alerts when I2C device disconnect. Version 2.62 (built on 17.01.07) Added null pointer check before calling modeToByte() in finishModeSwitchIfNecessary method for ModernRoboticsUsbDcMotorController class. Changes to enhance Modern Robotics USB protocol robustness. Version 2.61 (released on 16.12.19) Blocks Programming mode changes: Fix to correct issue when an exception was thrown because an OpticalDistanceSensor object appears twice in the hardware map (the second time as a LightSensor). Version 2.6 (released on 16.12.16) Fixes for Gyro class: Improve (decrease) sensor refresh latency. fix isCalibrating issues. Blocks Programming mode changes: Blocks now ignores a device in the configuration xml if the name is empty. Other devices work in configuration work fine. Version 2.5 (internal release on released on 16.12.13) Blocks Programming mode changes: Added blocks support for AdafruitBNO055IMU. Added Download Op Mode button to FtcBocks.html. Added support for copying blocks in one OpMode and pasting them in an other OpMode. The clipboard content is stored on the phone, so the programming mode server must be running. Modified Utilities section of the toolbox. In Programming Mode, display information about the active connections. Fixed paste location when workspace has been scrolled. Added blocks support for the android Accelerometer. Fixed issue where Blocks Upload Op Mode truncated name at first dot. Added blocks support for Android SoundPool. Added type safety to blocks for Acceleration. Added type safety to blocks for AdafruitBNO055IMU.Parameters. Added type safety to blocks for AnalogInput. Added type safety to blocks for AngularVelocity. Added type safety to blocks for Color. Added type safety to blocks for ColorSensor. Added type safety to blocks for CompassSensor. Added type safety to blocks for CRServo. Added type safety to blocks for DigitalChannel. Added type safety to blocks for ElapsedTime. Added type safety to blocks for Gamepad. Added type safety to blocks for GyroSensor. Added type safety to blocks for IrSeekerSensor. Added type safety to blocks for LED. Added type safety to blocks for LightSensor. Added type safety to blocks for LinearOpMode. Added type safety to blocks for MagneticFlux. Added type safety to blocks for MatrixF. Added type safety to blocks for MrI2cCompassSensor. Added type safety to blocks for MrI2cRangeSensor. Added type safety to blocks for OpticalDistanceSensor. Added type safety to blocks for Orientation. Added type safety to blocks for Position. Added type safety to blocks for Quaternion. Added type safety to blocks for Servo. Added type safety to blocks for ServoController. Added type safety to blocks for Telemetry. Added type safety to blocks for Temperature. Added type safety to blocks for TouchSensor. Added type safety to blocks for UltrasonicSensor. Added type safety to blocks for VectorF. Added type safety to blocks for Velocity. Added type safety to blocks for VoltageSensor. Added type safety to blocks for VuforiaLocalizer.Parameters. Added type safety to blocks for VuforiaTrackable. Added type safety to blocks for VuforiaTrackables. Added type safety to blocks for enums in AdafruitBNO055IMU.Parameters. Added type safety to blocks for AndroidAccelerometer, AndroidGyroscope, AndroidOrientation, and AndroidTextToSpeech. Version 2.4 (released on 16.11.13) Fix to avoid crashing for nonexistent resources. Blocks Programming mode changes: Added blocks to support OpenGLMatrix, MatrixF, and VectorF. Added blocks to support AngleUnit, AxesOrder, AxesReference, CameraDirection, CameraMonitorFeedback, DistanceUnit, and TempUnit. Added blocks to support Acceleration. Added blocks to support LinearOpMode.getRuntime. Added blocks to support MagneticFlux and Position. Fixed typos. Made blocks for ElapsedTime more consistent with other objects. Added blocks to support Quaternion, Velocity, Orientation, AngularVelocity. Added blocks to support VuforiaTrackables, VuforiaTrackable, VuforiaLocalizer, VuforiaTrackableDefaultListener. Fixed a few blocks. Added type checking to new blocks. Updated to latest blockly. Added default variable blocks to navigation and matrix blocks. Fixed toolbox entry for openGLMatrix_rotation_withAxesArgs. When user downloads Blocks-generated op mode, only the .blk file is downloaded. When user uploads Blocks-generated op mode (.blk file), Javascript code is auto generated. Added DbgLog support. Added logging when a blocks file is read/written. Fixed bug to properly render blocks even if missing devices from configuration file. Added support for additional characters (not just alphanumeric) for the block file names (for download and upload). Added support for OpMode flavor (“Autonomous” or “TeleOp”) and group. Changes to Samples to prevent tutorial issues. Incorporated suggested changes from public pull 216 (“Replace .. paths”). Remove Servo Glitches when robot stopped. if user hits “Cancels” when editing a configuration file, clears the unsaved changes and reverts to original unmodified configuration. Added log info to help diagnose why the Robot Controller app was terminated (for example, by watch dog function). Added ability to transfer log from the controller. Fixed inconsistency for AngularVelocity Limit unbounded growth of data for telemetry. If user does not call telemetry.update() for LinearOpMode in a timely manner, data added for telemetry might get lost if size limit is exceeded. Version 2.35 (released on 16.10.06) Blockly programming mode - Removed unnecesary idle() call from blocks for new project. Version 2.30 (released on 16.10.05) Blockly programming mode: Mechanism added to save Blockly op modes from Programming Mode Server onto local device To avoid clutter, blocks are displayed in categorized folders Added support for DigitalChannel Added support for ModernRoboticsI2cCompassSensor Added support for ModernRoboticsI2cRangeSensor Added support for VoltageSensor Added support for AnalogInput Added support for AnalogOutput Fix for CompassSensor setMode block Vuforia Fix deadlock / make camera data available while Vuforia is running. Update to Vuforia 6.0.117 (recommended by Vuforia and Google to close security loophole). Fix for autonomous 30 second timer bug (where timer was in effect, even though it appeared to have timed out). opModeIsActive changes to allow cleanup after op mode is stopped (with enforced 2 second safety timeout). Fix to avoid reading i2c twice. Updated sample Op Modes. Improved logging and fixed intermittent freezing. Added digital I/O sample. Cleaned up device names in sample op modes to be consistent with Pushbot guide. Fix to allow use of IrSeekerSensorV3. Version 2.20 (released on 16.09.08) Support for Modern Robotics Compass Sensor. Support for Modern Robotics Range Sensor. Revise device names for Pushbot templates to match the names used in Pushbot guide. Fixed bug so that IrSeekerSensorV3 device is accessible as IrSeekerSensor in hardwareMap. Modified computer vision code to require an individual Vuforia license (per legal requirement from PTC). Minor fixes. Blockly enhancements: Support for Voltage Sensor. Support for Analog Input. Support for Analog Output. Support for Light Sensor. Support for Servo Controller. Version 2.10 (released on 16.09.03) Support for Adafruit IMU. Improvements to ModernRoboticsI2cGyro class Block on reset of z axis. isCalibrating() returns true while gyro is calibration. Updated sample gyro program. Blockly enhancements support for android.graphics.Color. added support for ElapsedTime. improved look and legibility of blocks. support for compass sensor. support for ultrasonic sensor. support for IrSeeker. support for LED. support for color sensor. support for CRServo prompt user to configure robot before using programming mode. Provides ability to disable audio cues. various bug fixes and improvements. Version 2.00 (released on 16.08.19) This is the new release for the upcoming 2016-2017 FIRST Tech Challenge Season. Channel change is enabled in the FTC Robot Controller app for Moto G 2nd and 3rd Gen phones. Users can now use annotations to register/disable their Op Modes. Changes in the Android SDK, JDK and build tool requirements (minsdk=19, java 1.7, build tools 23.0.3). Standardized units in analog input. Cleaned up code for existing analog sensor classes. setChannelMode and getChannelMode were REMOVED from the DcMotorController class. This is important - we no longer set the motor modes through the motor controller. setMode and getMode were added to the DcMotor class. ContinuousRotationServo class has been added to the FTC SDK. Range.clip() method has been overloaded so it can support this operation for int, short and byte integers. Some changes have been made (new methods added) on how a user can access items from the hardware map. Users can now set the zero power behavior for a DC motor so that the motor will brake or float when power is zero. Prototype Blockly Programming Mode has been added to FTC Robot Controller. Users can place the Robot Controller into this mode, and then use a device (such as a laptop) that has a Javascript enabled browser to write Blockly-based Op Modes directly onto the Robot Controller. Users can now configure the robot remotely through the FTC Driver Station app. Android Studio project supports Android Studio 2.1.x and compile SDK Version 23 (Marshmallow). Vuforia Computer Vision SDK integrated into FTC SDK. Users can use sample vision targets to get localization information on a standard FTC field. Project structure has been reorganized so that there is now a TeamCode package that users can use to place their local/custom Op Modes into this package. Inspection function has been integrated into the FTC Robot Controller and Driver Station Apps (Thanks Team HazMat… 9277 & 10650!). Audio cues have been incorporated into FTC SDK. Swap mechanism added to FTC Robot Controller configuration activity. For example, if you have two motor controllers on a robot, and you misidentified them in your configuration file, you can use the Swap button to swap the devices within the configuration file (so you do not have to manually re-enter in the configuration info for the two devices). Fix mechanism added to all user to replace an electronic module easily. For example, suppose a servo controller dies on your robot. You replace the broken module with a new module, which has a different serial number from the original servo controller. You can use the Fix button to automatically reconfigure your configuration file to use the serial number of the new module. Improvements made to fix resiliency and responsiveness of the system. For LinearOpMode the user now must for a telemetry.update() to update the telemetry data on the driver station. This update() mechanism ensures that the driver station gets the updated data properly and at the same time. The Auto Configure function of the Robot Controller is now template based. If there is a commonly used robot configuration, a template can be created so that the Auto Configure mechanism can be used to quickly configure a robot of this type. The logic to detect a runaway op mode (both in the LinearOpMode and OpMode types) and to abort the run, then auto recover has been improved/implemented. Fix has been incorporated so that Logitech F310 gamepad mappings will be correct for Marshmallow users. Release 16.07.08 For the ftc_app project, the gradle files have been modified to support Android Studio 2.1.x. Release 16.03.30 For the MIT App Inventor, the design blocks have new icons that better represent the function of each design component. Some changes were made to the shutdown logic to ensure the robust shutdown of some of our USB services. A change was made to LinearOpMode so as to allow a given instance to be executed more than once, which is required for the App Inventor. Javadoc improved/updated. Release 16.03.09 Changes made to make the FTC SDK synchronous (significant change!) waitOneFullHardwareCycle() and waitForNextHardwareCycle() are no longer needed and have been deprecated. runOpMode() (for a LinearOpMode) is now decoupled from the system's hardware read/write thread. loop() (for an OpMode) is now decoupled from the system's hardware read/write thread. Methods are synchronous. For example, if you call setMode(DcMotorController.RunMode.RESET_ENCODERS) for a motor, the encoder is guaranteed to be reset when the method call is complete. For legacy module (NXT compatible), user no longer has to toggle between read and write modes when reading from or writing to a legacy device. Changes made to enhance reliability/robustness during ESD event. Changes made to make code thread safe. Debug keystore added so that user-generated robot controller APKs will all use the same signed key (to avoid conflicts if a team has multiple developer laptops for example). Firmware version information for Modern Robotics modules are now logged. Changes made to improve USB comm reliability and robustness. Added support for voltage indicator for legacy (NXT-compatible) motor controllers. Changes made to provide auto stop capabilities for op modes. A LinearOpMode class will stop when the statements in runOpMode() are complete. User does not have to push the stop button on the driver station. If an op mode is stopped by the driver station, but there is a run away/uninterruptible thread persisting, the app will log an error message then force itself to crash to stop the runaway thread. Driver Station UI modified to display lowest measured voltage below current voltage (12V battery). Driver Station UI modified to have color background for current voltage (green=good, yellow=caution, red=danger, extremely low voltage). javadoc improved (edits and additional classes). Added app build time to About activity for driver station and robot controller apps. Display local IP addresses on Driver Station About activity. Added I2cDeviceSynchImpl. Added I2cDeviceSync interface. Added seconds() and milliseconds() to ElapsedTime for clarity. Added getCallbackCount() to I2cDevice. Added missing clearI2cPortActionFlag. Added code to create log messages while waiting for LinearOpMode shutdown. Fix so Wifi Direct Config activity will no longer launch multiple times. Added the ability to specify an alternate i2c address in software for the Modern Robotics gyro. Release 16.02.09 Improved battery checker feature so that voltage values get refreshed regularly (every 250 msec) on Driver Station (DS) user interface. Improved software so that Robot Controller (RC) is much more resilient and “self-healing” to USB disconnects: If user attempts to start/restart RC with one or more module missing, it will display a warning but still start up. When running an op mode, if one or more modules gets disconnected, the RC & DS will display warnings,and robot will keep on working in spite of the missing module(s). If a disconnected module gets physically reconnected the RC will auto detect the module and the user will regain control of the recently connected module. Warning messages are more helpful (identifies the type of module that’s missing plus its USB serial number). Code changes to fix the null gamepad reference when users try to reference the gamepads in the init() portion of their op mode. NXT light sensor output is now properly scaled. Note that teams might have to readjust their light threshold values in their op modes. On DS user interface, gamepad icon for a driver will disappear if the matching gamepad is disconnected or if that gamepad gets designated as a different driver. Robot Protocol (ROBOCOL) version number info is displayed in About screen on RC and DS apps. Incorporated a display filter on pairing screen to filter out devices that don’t use the “-“ format. This filter can be turned off to show all WiFi Direct devices. Updated text in License file. Fixed formatting error in OpticalDistanceSensor.toString(). Fixed issue on with a blank (“”) device name that would disrupt WiFi Direct Pairing. Made a change so that the WiFi info and battery info can be displayed more quickly on the DS upon connecting to RC. Improved javadoc generation. Modified code to make it easier to support language localization in the future. Release 16.01.04 Updated compileSdkVersion for apps Prevent Wifi from entering power saving mode removed unused import from driver station Corrrected "Dead zone" joystick code. LED.getDeviceName and .getConnectionInfo() return null apps check for ROBOCOL_VERSION mismatch Fix for Telemetry also has off-by-one errors in its data string sizing / short size limitations error User telemetry output is sorted. added formatting variants to DbgLog and RobotLog APIs code modified to allow for a long list of op mode names. changes to improve thread safety of RobocolDatagramSocket Fix for "missing hardware leaves robot controller disconnected from driver station" error fix for "fast tapping of Init/Start causes problems" (toast is now only instantiated on UI thread). added some log statements for thread life cycle. moved gamepad reset logic inside of initActiveOpMode() for robustness changes made to mitigate risk of race conditions on public methods. changes to try and flag when WiFi Direct name contains non-printable characters. fix to correct race condition between .run() and .close() in ReadWriteRunnableStandard. updated FTDI driver made ReadWriteRunnableStanard interface public. fixed off-by-one errors in Command constructor moved specific hardware implmentations into their own package. moved specific gamepad implemnatations to the hardware library. changed LICENSE file to new BSD version. fixed race condition when shutting down Modern Robotics USB devices. methods in the ColorSensor classes have been synchronized. corrected isBusy() status to reflect end of motion. corrected "back" button keycode. the notSupported() method of the GyroSensor class was changed to protected (it should not be public). Release 15.11.04.001 Added Support for Modern Robotics Gyro. The GyroSensor class now supports the MR Gyro Sensor. Users can access heading data (about Z axis) Users can also access raw gyro data (X, Y, & Z axes). Example MRGyroTest.java op mode included. Improved error messages More descriptive error messages for exceptions in user code. Updated DcMotor API Enable read mode on new address in setI2cAddress Fix so that driver station app resets the gamepads when switching op modes. USB-related code changes to make USB comm more responsive and to display more explicit error messages. Fix so that USB will recover properly if the USB bus returns garbage data. Fix USB initializtion race condition. Better error reporting during FTDI open. More explicit messages during USB failures. Fixed bug so that USB device is closed if event loop teardown method was not called. Fixed timer UI issue Fixed duplicate name UI bug (Legacy Module configuration). Fixed race condition in EventLoopManager. Fix to keep references stable when updating gamepad. For legacy Matrix motor/servo controllers removed necessity of appending "Motor" and "Servo" to controller names. Updated HT color sensor driver to use constants from ModernRoboticsUsbLegacyModule class. Updated MR color sensor driver to use constants from ModernRoboticsUsbDeviceInterfaceModule class. Correctly handle I2C Address change in all color sensors Updated/cleaned up op modes. Updated comments in LinearI2cAddressChange.java example op mode. Replaced the calls to "setChannelMode" with "setMode" (to match the new of the DcMotor method). Removed K9AutoTime.java op mode. Added MRGyroTest.java op mode (demonstrates how to use MR Gyro Sensor). Added MRRGBExample.java op mode (demonstrates how to use MR Color Sensor). Added HTRGBExample.java op mode (demonstrates how to use HT legacy color sensor). Added MatrixControllerDemo.java (demonstrates how to use legacy Matrix controller). Updated javadoc documentation. Updated release .apk files for Robot Controller and Driver Station apps. Release 15.10.06.002 Added support for Legacy Matrix 9.6V motor/servo controller. Cleaned up build.gradle file. Minor UI and bug fixes for driver station and robot controller apps. Throws error if Ultrasonic sensor (NXT) is not configured for legacy module port 4 or 5. Release 15.08.03.001 New user interfaces for FTC Driver Station and FTC Robot Controller apps. An init() method is added to the OpMode class. For this release, init() is triggered right before the start() method. Eventually, the init() method will be triggered when the user presses an "INIT" button on driver station. The init() and loop() methods are now required (i.e., need to be overridden in the user's op mode). The start() and stop() methods are optional. A new LinearOpMode class is introduced. Teams can use the LinearOpMode mode to create a linear (not event driven) program model. Teams can use blocking statements like Thread.sleep() within a linear op mode. The API for the Legacy Module and Core Device Interface Module have been updated. Support for encoders with the Legacy Module is now working. The hardware loop has been updated for better performance.
SigProfilerSuite / SigProfilerExtractorSigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
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Guaishou74851 / PCNet(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]
jeffbolznv / Vk Cooperative Matrix PerfSample benchmark demonstrating the VK_KHR_cooperative_matrix extension
sergeyvoronin / LowRankMatrixDecompositionCodesRSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.
microsoft / PowerBI Visuals PowerKPIMatrixA KPI matrix visualization sample for PowerBI
matrix-org / Matrix Ios ConsoleThe sample Matrix client for iOS
cognitoware / RoboticsProbabilistic state estimation for robotics applications. Bayes filters include Kalman, Markov chains; Gaussian, uniform and discrete mapping probability distributions representations; Distribution sampling, marginalization, multiplication; Distribution composition independent pairs and Bayes rule; Linear algebra, matrix, vector, inverse, square root, LU decomposition, Cholesky decomposition; piecewise linear approximation of functions; Sensor models, Markov action chains <X,U,X>.
drumichiro / Nmf And NtfThe sample code to study non-negative matrix and tensor factorization.
jasonstrimpel / CovshrinkPython implementation of a sample covariance matrix shrinkage experiment
AmirhosseinHonardoust / Movie Recommendation SystemMovie recommendation system with Python. Implements content-based filtering (TF-IDF + cosine similarity), collaborative filtering with matrix factorization (TruncatedSVD), and a hybrid approach. Evaluates with Precision@K, Recall@K, and NDCG. Includes rating distribution plots, top movies, and sample recommendations.
AmirhosseinHonardoust / Image Classification CNNImage classification with PyTorch using Convolutional Neural Networks (CNNs). Trains on MNIST with convolution, pooling, and fully connected layers. Achieves over 99% accuracy with early stopping and checkpoints. Includes training/evaluation scripts, metrics, confusion matrix, training curves, and sample prediction visualizations.
Saturnremabtc64 / Supreme Octo RoboticeyxGear61 / Random-Number-Generator Code Issues 5 Pull requests 0 Projects 0 Wiki Pulse projectFilesBackup/.idea/workspace.xml <?xml version="1.0" encoding="UTF-8"?> <project version="4"> <component name="AndroidLayouts"> <shared> <config /> </shared> </component> <component name="AndroidLogFilters"> <option name="TOOL_WINDOW_CONFIGURED_FILTER" value="Show only selected application" /> </component> <component name="ChangeListManager"> <list default="true" id="f5e37520-ca17-4d94-bb6c-b4cbc9c73568" name="Default" comment="" /> <ignored path="rngplus.iws" /> <ignored path=".idea/workspace.xml" /> <option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" /> <option name="TRACKING_ENABLED" value="true" /> <option name="SHOW_DIALOG" value="false" /> <option name="HIGHLIGHT_CONFLICTS" value="true" /> <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" /> <option name="LAST_RESOLUTION" value="IGNORE" /> </component> <component 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</component> <component name="Git.Settings"> <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$" /> </component> <component name="GradleLocalSettings"> <option name="availableProjects"> <map> <entry> <key> <ExternalProjectPojo> <option name="name" value="rngplus" /> <option name="path" value="$PROJECT_DIR$" /> </ExternalProjectPojo> </key> <value> <list> <ExternalProjectPojo> <option name="name" value=":app" /> <option name="path" value="$PROJECT_DIR$/app" /> </ExternalProjectPojo> <ExternalProjectPojo> <option name="name" value="rngplus" /> <option name="path" value="$PROJECT_DIR$" /> </ExternalProjectPojo> </list> </value> </entry> </map> </option> <option name="availableTasks"> <map> <entry key="$PROJECT_DIR$"> <value> <list> <ExternalTaskPojo> <option name="description" value="Displays all buildscript dependencies declared in root project 'rngplus'." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="buildEnvironment" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="clean" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the components produced by root project 'rngplus'. 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[incubating]" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="wrapper" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the Android dependencies of the project." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="androidDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles all variants of all applications and secondary packages." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="assemble" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles all the Test applications." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="assembleAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles all Debug builds." /> <option name="linkedExternalProjectPath" 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</ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileDebugUnitTestJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileDebugUnitTestSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileLint" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseAidl" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseNdk" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseRenderscript" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseUnitTestJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="compileReleaseUnitTestSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs and runs instrumentation tests for all flavors on connected devices." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="connectedAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs all device checks on currently connected devices." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="connectedCheck" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs and runs the tests for debug on connected devices." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="connectedDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs and runs instrumentation tests using all Device Providers." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="deviceAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs all device checks using Device Providers and Test Servers." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="deviceCheck" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugAndroidTestAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugAndroidTestBuildConfig" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugAndroidTestResValues" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugAndroidTestResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugAndroidTestSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugBuildConfig" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugResValues" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateDebugSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateReleaseAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateReleaseBuildConfig" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateReleaseResValues" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateReleaseResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="generateReleaseSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="incrementalDebugAndroidTestJavaCompilationSafeguard" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="incrementalDebugJavaCompilationSafeguard" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option 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/> <option name="name" value="mergeReleaseShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Creates a version of android.jar that's suitable for unit tests." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="mockableAndroidJar" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="packageDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="packageDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="packageRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="preBuild" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" 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value="$PROJECT_DIR$" /> <option name="name" value="prepareDebugUnitTestDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare me.zhanghai.android.materialprogressbar:library:1.1.5" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="prepareMeZhanghaiAndroidMaterialprogressbarLibrary115Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="prepareReleaseDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="prepareReleaseUnitTestDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="processDebugAndroidTestJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option 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value="processReleaseJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="processReleaseManifest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="processReleaseResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="processReleaseUnitTestJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the signing info for each variant." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="signingReport" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prints out all the source sets defined in this project." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="sourceSets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Run unit tests for all variants." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="test" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Run unit tests for the debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="testDebugUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Run unit tests for the release build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="testReleaseUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformClassesWithDexForDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformClassesWithDexForDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformClassesWithDexForRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformNative_libsWithMergeJniLibsForDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformNative_libsWithMergeJniLibsForDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformNative_libsWithMergeJniLibsForRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformResourcesWithMergeJavaResForDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformResourcesWithMergeJavaResForDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformResourcesWithMergeJavaResForDebugUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformResourcesWithMergeJavaResForRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="transformResourcesWithMergeJavaResForReleaseUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstall all applications." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="uninstallAll" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstalls the Debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="uninstallDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstalls the android (on device) tests for the Debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="uninstallDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstalls the Release build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="uninstallRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="validateDebugSigning" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$" /> <option name="name" value="zipalignDebug" /> </ExternalTaskPojo> </list> </value> </entry> <entry key="$PROJECT_DIR$/app"> <value> <list> <ExternalTaskPojo> <option name="description" value="Displays the Android dependencies of the project." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="androidDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles all variants of all applications and secondary packages." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="assemble" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles all the Test applications." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="assembleAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles all Debug builds." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="assembleDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="assembleDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="assembleDebugUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles all Release builds." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="assembleRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="assembleReleaseUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles and tests this project." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="build" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles and tests this project and all projects that depend on it." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="buildDependents" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays all buildscript dependencies declared in project ':app'." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="buildEnvironment" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Assembles and tests this project and all projects it depends on." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="buildNeeded" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs all checks." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="check" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="checkDebugManifest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="checkReleaseManifest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Deletes the build directory." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="clean" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugAidl" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugAndroidTestAidl" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugAndroidTestJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugAndroidTestNdk" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugAndroidTestRenderscript" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugAndroidTestShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugAndroidTestSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugNdk" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugRenderscript" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugUnitTestJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileDebugUnitTestSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileLint" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseAidl" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseNdk" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseRenderscript" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseUnitTestJavaWithJavac" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="compileReleaseUnitTestSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the components produced by project ':app'. [incubating]" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="components" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs and runs instrumentation tests for all flavors on connected devices." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="connectedAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs all device checks on currently connected devices." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="connectedCheck" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs and runs the tests for debug on connected devices." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="connectedDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays all dependencies declared in project ':app'." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="dependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the insight into a specific dependency in project ':app'." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="dependencyInsight" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs and runs instrumentation tests using all Device Providers." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="deviceAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs all device checks using Device Providers and Test Servers." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="deviceCheck" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugAndroidTestAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugAndroidTestBuildConfig" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugAndroidTestResValues" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugAndroidTestResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugAndroidTestSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugBuildConfig" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugResValues" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateDebugSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateReleaseAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateReleaseBuildConfig" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateReleaseResValues" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateReleaseResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="generateReleaseSources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays a help message." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="help" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="incrementalDebugAndroidTestJavaCompilationSafeguard" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="incrementalDebugJavaCompilationSafeguard" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="incrementalDebugUnitTestJavaCompilationSafeguard" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="incrementalReleaseJavaCompilationSafeguard" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="incrementalReleaseUnitTestJavaCompilationSafeguard" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs the Debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="installDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Installs the android (on device) tests for the Debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="installDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="jarDebugClasses" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="jarReleaseClasses" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs lint on all variants." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="lint" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs lint on the Debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="lintDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs lint on the Release build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="lintRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Runs lint on just the fatal issues in the Release build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="lintVitalRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugAndroidTestAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugAndroidTestJniLibFolders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugAndroidTestResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugAndroidTestShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugJniLibFolders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeDebugShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeReleaseAssets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeReleaseJniLibFolders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeReleaseResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mergeReleaseShaders" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Creates a version of android.jar that's suitable for unit tests." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="mockableAndroidJar" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the configuration model of project ':app'. [incubating]" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="model" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="packageDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="packageDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="packageRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="preBuild" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="preDebugAndroidTestBuild" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="preDebugBuild" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="preDebugUnitTestBuild" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prePackageMarkerForDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prePackageMarkerForDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prePackageMarkerForRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="preReleaseBuild" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="preReleaseUnitTestBuild" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.android.support:animated-vector-drawable:23.3.0" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComAndroidSupportAnimatedVectorDrawable2330Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.android.support:appcompat-v7:23.3.0" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComAndroidSupportAppcompatV72330Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.android.support:cardview-v7:23.1.1" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComAndroidSupportCardviewV72311Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.android.support:design:23.3.0" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComAndroidSupportDesign2330Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.android.support:recyclerview-v7:23.3.0" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComAndroidSupportRecyclerviewV72330Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.android.support:support-v4:23.3.0" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComAndroidSupportSupportV42330Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.android.support:support-vector-drawable:23.3.0" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComAndroidSupportSupportVectorDrawable2330Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.github.afollestad.material-dialogs:core:0.8.5.8" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComGithubAfollestadMaterialDialogsCore0858Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.github.rey5137:material:1.2.2" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComGithubRey5137Material122Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.joanzapata.iconify:android-iconify:2.2.2" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComJoanzapataIconifyAndroidIconify222Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.joanzapata.iconify:android-iconify-fontawesome:2.2.2" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComJoanzapataIconifyAndroidIconifyFontawesome222Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare com.joanzapata.iconify:android-iconify-ionicons:2.2.2" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareComJoanzapataIconifyAndroidIconifyIonicons222Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareDebugAndroidTestDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareDebugDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareDebugUnitTestDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prepare me.zhanghai.android.materialprogressbar:library:1.1.5" /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareMeZhanghaiAndroidMaterialprogressbarLibrary115Library" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareReleaseDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="prepareReleaseUnitTestDependencies" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processDebugAndroidTestJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processDebugAndroidTestManifest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processDebugAndroidTestResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processDebugJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processDebugManifest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processDebugResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processDebugUnitTestJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processReleaseJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processReleaseManifest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processReleaseResources" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="processReleaseUnitTestJavaRes" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the sub-projects of project ':app'." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="projects" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the properties of project ':app'." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="properties" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the signing info for each variant." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="signingReport" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Prints out all the source sets defined in this project." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="sourceSets" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Displays the tasks runnable from project ':app'." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="tasks" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Run unit tests for all variants." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="test" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Run unit tests for the debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="testDebugUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Run unit tests for the release build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="testReleaseUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformClassesWithDexForDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformClassesWithDexForDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformClassesWithDexForRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformNative_libsWithMergeJniLibsForDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformNative_libsWithMergeJniLibsForDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformNative_libsWithMergeJniLibsForRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformResourcesWithMergeJavaResForDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformResourcesWithMergeJavaResForDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformResourcesWithMergeJavaResForDebugUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformResourcesWithMergeJavaResForRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="transformResourcesWithMergeJavaResForReleaseUnitTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstall all applications." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="uninstallAll" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstalls the Debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="uninstallDebug" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstalls the android (on device) tests for the Debug build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="uninstallDebugAndroidTest" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="description" value="Uninstalls the Release build." /> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="uninstallRelease" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="validateDebugSigning" /> </ExternalTaskPojo> <ExternalTaskPojo> <option name="linkedExternalProjectPath" value="$PROJECT_DIR$/app" /> <option name="name" value="zipalignDebug" /> </ExternalTaskPojo> </list> </value> </entry> </map> </option> <option name="modificationStamps"> <map> <entry key="$PROJECT_DIR$" value="4377878861000" /> </map> </option> <option name="projectBuildClasspath"> <map> <entry key="$PROJECT_DIR$"> <value> <ExternalProjectBuildClasspathPojo> <option name="modulesBuildClasspath"> <map> <entry key="$PROJECT_DIR$"> <value> <ExternalModuleBuildClasspathPojo> <option name="entries"> <list> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/gradle/2.1.0/gradle-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/gradle-core/2.1.0/gradle-core-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/jacoco/org.jacoco.core/0.7.4.201502262128/org.jacoco.core-0.7.4.201502262128-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/jacoco/org.jacoco.core/0.7.4.201502262128/org.jacoco.core-0.7.4.201502262128.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-commons/5.0.3/asm-commons-5.0.3-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-commons/5.0.3/asm-commons-5.0.3.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/gradle-api/2.1.0/gradle-api-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/lint/lint/25.1.0/lint-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/databinding/compilerCommon/2.1.0/compilerCommon-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm/5.0.3/asm-5.0.3-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm/5.0.3/asm-5.0.3.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/net/sf/proguard/proguard-gradle/5.2.1/proguard-gradle-5.2.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/net/sf/proguard/proguard-gradle/5.2.1/proguard-gradle-5.2.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/transform-api/2.0.0-deprecated-use-gradle-api/transform-api-2.0.0-deprecated-use-gradle-api.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/builder/2.1.0/builder-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-debug-all/5.0.1/asm-debug-all-5.0.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-debug-all/5.0.1/asm-debug-all-5.0.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-tree/5.0.3/asm-tree-5.0.3-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-tree/5.0.3/asm-tree-5.0.3.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/google/guava/guava/17.0/guava-17.0-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/google/guava/guava/17.0/guava-17.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/annotations/25.1.0/annotations-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/lint/lint-checks/25.1.0/lint-checks-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/eclipse/jdt/core/compiler/ecj/4.4.2/ecj-4.4.2-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/eclipse/jdt/core/compiler/ecj/4.4.2/ecj-4.4.2.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/googlecode/juniversalchardet/juniversalchardet/1.0.3/juniversalchardet-1.0.3.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/tunnelvisionlabs/antlr4/4.5/antlr4-4.5.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/commons-io/commons-io/2.4/commons-io-2.4-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/commons-io/commons-io/2.4/commons-io-2.4.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/databinding/baseLibrary/2.1.0/baseLibrary-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/net/sf/proguard/proguard-base/5.2.1/proguard-base-5.2.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/net/sf/proguard/proguard-base/5.2.1/proguard-base-5.2.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/builder-model/2.1.0/builder-model-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/common/25.1.0/common-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/ddms/ddmlib/25.1.0/ddmlib-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/bouncycastle/bcprov-jdk15on/1.48/bcprov-jdk15on-1.48-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/bouncycastle/bcprov-jdk15on/1.48/bcprov-jdk15on-1.48.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/sdklib/25.1.0/sdklib-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/squareup/javawriter/2.5.0/javawriter-2.5.0-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/squareup/javawriter/2.5.0/javawriter-2.5.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/builder-test-api/2.1.0/builder-test-api-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/sdk-common/25.1.0/sdk-common-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/manifest-merger/25.1.0/manifest-merger-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/jack/jack-api/0.10.0/jack-api-0.10.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/bouncycastle/bcpkix-jdk15on/1.48/bcpkix-jdk15on-1.48-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/bouncycastle/bcpkix-jdk15on/1.48/bcpkix-jdk15on-1.48.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/jill/jill-api/0.10.0/jill-api-0.10.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-analysis/5.0.3/asm-analysis-5.0.3-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/ow2/asm/asm-analysis/5.0.3/asm-analysis-5.0.3.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/lint/lint-api/25.1.0/lint-api-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/tunnelvisionlabs/antlr4-runtime/4.5/antlr4-runtime-4.5.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/tunnelvisionlabs/antlr4-annotations/4.5/antlr4-annotations-4.5.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/antlr/antlr-runtime/3.5.2/antlr-runtime-3.5.2.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/antlr/ST4/4.0.8/ST4-4.0.8.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/net/sf/kxml/kxml2/2.3.0/kxml2-2.3.0-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/net/sf/kxml/kxml2/2.3.0/kxml2-2.3.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/repository/25.1.0/repository-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/httpcomponents/httpclient/4.1.1/httpclient-4.1.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/httpcomponents/httpclient/4.1.1/httpclient-4.1.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/httpcomponents/httpmime/4.1/httpmime-4.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/httpcomponents/httpmime/4.1/httpmime-4.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/google/code/gson/gson/2.2.4/gson-2.2.4-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/google/code/gson/gson/2.2.4/gson-2.2.4.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/commons/commons-compress/1.8.1/commons-compress-1.8.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/commons/commons-compress/1.8.1/commons-compress-1.8.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/dvlib/25.1.0/dvlib-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/layoutlib/layoutlib-api/25.1.0/layoutlib-api-25.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/external/lombok/lombok-ast/0.2.3/lombok-ast-0.2.3-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/external/lombok/lombok-ast/0.2.3/lombok-ast-0.2.3.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/abego/treelayout/org.abego.treelayout.core/1.0.1/org.abego.treelayout.core-1.0.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/httpcomponents/httpcore/4.1/httpcore-4.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/apache/httpcomponents/httpcore/4.1/httpcore-4.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/commons-logging/commons-logging/1.1.1/commons-logging-1.1.1-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/commons-logging/commons-logging/1.1.1/commons-logging-1.1.1.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/commons-codec/commons-codec/1.4/commons-codec-1.4-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/commons-codec/commons-codec/1.4/commons-codec-1.4.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/intellij/annotations/12.0/annotations-12.0-sources.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/intellij/annotations/12.0/annotations-12.0.jar" /> </list> </option> <option name="path" value="$PROJECT_DIR$" /> </ExternalModuleBuildClasspathPojo> </value> </entry> <entry key="$PROJECT_DIR$/app"> <value> <ExternalModuleBuildClasspathPojo> <option name="entries"> <list> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/gradle/2.1.0/gradle-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/com/android/tools/build/gradle-core/2.1.0/gradle-core-2.1.0.jar" /> <option value="$APPLICATION_HOME_DIR$/gradle/m2repository/org/jacoco/org.jacoco.core/0.7.4.201502262128/org.jacoco.core-0.7.4.201502262128-sources.jar" /> <option 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tangcr / Redis Redis是什么 Redis是一个NOSQL，NOSQL有许多种，它们分为： 列存储，如：Hbase、Cassandra这种 文档存储，如：MongoDB（首推） key-value存储，如：Berkeley DB、MemcacheDB、Redis，其中Redis最强 图存储，这块基本不用，有：Neo4j、Versant XML存储，如：Berkeley DB Xml还有XBASE，ORACLE很早已经支持这种存储方式了 光知道这些NOSQL的名词是没有用的，关键在于要知道在哪种场景下选用哪种NOSQL才是我们真正要去掌握的。 我们这边说Redis就拿Redis说事吧，它能干什么呢？ Redis基础应用场景 web间session共享，即多个war工程共享一个session 分布式缓存，因为redis为键值对，而且它提供了丰富的adapter可以支持到C、.net、java客户端，因此对于异质平台间进行数据交换起到了作用，因此它可以用作大型系统的分布式缓存，并且其setnx的锁常被用于”秒杀“，”抢红包“这种电商活动场景中。 安装Redis 我本来想在这儿写”Redis上的‘坑‘“，最后我还是觉得把它放到后面章节中去写吧，因为中国人的思维是先有感性再有理性的一种逆向思维，其实这点很像美国人，因此中国人在世界上是最聪明的民族之一，所以我们还是先从动手搭一个Redis的环境来说起吧，老规矩，红色加粗很重要。 一定要使用Linux来布署Redis，请不要偷懒使用Redis 2.8.1 for windows那个版本，如果你使用了这个版本你将无法跟上这一系列教程的步伐。因为Redis为GCC+这样的东西开发出来的，它天生就是运行在LINUX/Unix环境下的，而那个windows版的Redis是一个”烟“割版，而且是一个unofficial的版本，非官方授权的哈。 先从Docker开始 如果已经有Linux/Unix环境的同协们可以直接跳过这一章。 我们这边要开始变态了，因为我们要真正开始踏上SOA、PAAS、互联网的脚步了。 如果对于没有Linux/Unix环境的用户来说，我在这边推荐使用docker，即boot2docker windows版来安装，它下载后是一个这样的文件 安装前把你的网络连接中的IPV6协议前的勾去掉 双击它，在安装时记得选择Virtual-Box选项，因为docker本为linux/unix下之物，因此为了在windows下使用docker，boot2docker内嵌了一个virtualbox来虚拟docker的环境。 装完后它会在你的桌面上生成一个蓝色的图标，双击它，它会打开一个绿色的字，黑色的背景像matrix电影里的那种命令行窗口，这就是Docker。 装完后运行： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker@boot2docker:~$ docker run hello-world 看到下面这些提示 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 Hello from Docker. This message shows that your installation appears to be working correctly. To generate this message, Docker took the following steps: 1. The Docker client contacted the Docker daemon. 2. The Docker daemon pulled the “hello-world” image from the Docker Hub. (Assuming it was not already locally available.) 3. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. 4. The Docker daemon streamed that output to the Docker client, which sent it to your terminal. To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash For more examples and ideas, visit: http://docs.docker.com/userguide/ 说明你的Docker安装成功了。 在Docker中安装unix环境 有了Docker我们就用Docker虚拟一个Ubuntu（UNIX）环境吧，在这边我们使用的是Ubuntu14。 ubuntu14请下载这个包：戳: 下载Ubuntu14包 下载后直接在docker下运行下面这条命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 cat ubuntu-14.04-x86_64.tar.gz |docker import - ubuntu:ubuntu14 这个过程会很快，完成后查看自己的image： 成功导入了ubuntu，这样我们就可以在Docker中运行出一个自己的ubuntu了。 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker run -i -t ubuntu:ubuntu14 /bin/bash 以上运行后，进入了该ubuntu的bash环境。 注：如果上述命令出错，可以使用下面这条命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker run -i -t ubuntu:ubuntu14 //bin/bash 两个 “/” 哈 如果你能看到类似于root@ubuntu14_这样的命令行界面说明你的ubuntu14也已经安装成功了，下面我们就要在这个docker->ubuntu14中安装和布署我们的Redis了，这个过程和在Linux下一样。 在ubuntu14下先安装SSHD，以便于我们使用WINSCP这样的SFTP工具来管理我们的ubuntu14中的文件系统 在ubuntu14中安装SSHD 第一步： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker run -t -i ubuntu/mk:v1 /bin/bash 进入我们的ubuntu环境，这边的ubuntu/mk就是我本机的docker中ubuntu14 container（容器）的名字，如果按照上面的延续此处可以替换成ubuntu:ubuntu14这个名字吧。 第二步： 升级一下你的apt-get，它就是一个命令行IE下载工具，如果你不update，那么你apt-get的源、内核都为旧的，因此为了升级apt-get请键入下面的命令 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 apt-get update 这个过程很快（依赖于你的网络环境） 第三步： 下载和安装openssh组件 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 apt-get install openssh-server openssh-client 第四步： 修改你的root密码 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 passwd 键入两次你的root密码，我这边都为6个小写的a 第五步： 退出容器，并保存以上修改，如果docker在退出后你接着退出docker环境或者是关机那么刚才的4步全部不生效，你一定要commit它才能生效，为此： 你先要知道你刚才用docker run命令运行的ubuntu14的容器的ID，你可以使用 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker ps -a 来查到你latest的一次容器的ID，它是一组16进制一样的编码如：1edfb9aabde8890，有了这个container id我们就可以commit我们刚才装的openssh的环境了 commit刚才在容器中所做的修改 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker commit 1edfb9aabde8890 ubuntu:ssh 第六步： 运行带有openssh的ubuntu14以便于我们使用winscp这样的SFTP工具连入我们的ubuntu14中去，依次输入下面的命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker kill $(docker ps -q) 杀掉正在运行的所有的container的进程 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker rm $(docker ps -a -q) 删除所有在进程中的容器，以上2步又被称为docker大扫除 Docker是这样的机制的，它可以开启多个容器，每个容器带着一堆的image（镜像），要删一个镜像必须先停止这个镜像所在的容器，再把这个镜像删除，因此我们使用上面这两条命令对于Docker来一个大扫除。 接着我们先查一下我们目前手头有的镜像 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker images 你会看到一个images列表，里面有我们的ubuntu:14，有我们的ubuntu:ssh也有一个hello-world，我们把ubuntu:14这个镜像删了吧（为了保持干净哈） 每个image也它自己的id，即image id，因此你用docker images命令查到该镜像的id后可以使用： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker rmi imageid 这条命令把一个不用的镜像给删了。 接下去我们要启动我们的ubuntu14:ssh了，可以使用下面这条命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker -d -p 122:22 ubuntu:ssh //usr/sbin/sshd -D 这条命令的意思为： -d即把我们的image启动在后台进程，它将会是一个daemon进程，而不会像刚才我们使用-t一样，一旦exit后该image进程也自动退出了 -p为端口映射，什么意思呢，这边要说一下docker的端口映射问题。我们知道docker安装后它会利用virtualbox中的vhost only的nat机制来建立一个虚拟的IP 可以打开我们的virtualbox中在菜单”全局->设定->网络”中进行查找 所以我们可以知道一旦boot2docker环境运行后它的地址为192.168.56.*这个段，一般为192.168.56.101这个地址，你可以在boot2docker启动后直接使用winscp边入这个docker环境。 地址：192.168.56.101 端口：22 用户名：docker 密码：tcuser 以上为默认值，具体地址按照你的virtualbox中在boot2docker安装时自动给出的设置来做参考。 而， 我们在这个docker中安装了一个ubuntu14:ssh的image，然后用后台进程的方式打开了这个ubuntu14:ssh，因此它自己也有一个IP（可能是172也可能是169段），具体不得而知，一般来说它是每次启动镜像后自己变换的（可以使用动态网络域名绑定docker中镜像的ip来达到域名不变的目的-集群环境下有用）。 我们都知道ssh是以端口22来进行TCP连接的，因此我们把ubuntu14的IP上的22端口映射到了我们的docker主机192.168.56.101上的122端口。 参数//usr/sbin/sshd -D代表该镜像启动会的entrypoint即启动后再启动一个什么命令，在最后的-D（大写的D）告诉docker这是一个启动文件 于是，一旦该命令发出后，显示image启动的提示后（启动后你会得到一个image id）你就可以直接打开你的winscp使用： 地址：192.168.56.101 端口：122 （此处是122，不是22，因为我们把image的22端口映射到了192.168.56.101-docker主机上的122端口了） 用户名：root 密码：aaaaaa 即可以连入我们的ubuntu14环境了，如果此时你安装了putty还可以使用putty+winscp直接进入ubuntu14的命令行环境中去，于是你就有ubuntu14的试验环境了。 在ubuntu14下安装redis 网上很多在ubuntu14下安装redis的教程都不对的，大家看了要上当的，原因在于如下，请各位看完： 网上的redis环境搭建直接使用的是apt-get update完后用wget https://github.com/ijonas/dotfiles/raw/master/etc/init.d/redis-server 这样的方式来安装的，这样装固然方便，可是也因为方便所以取到的redis不是最新的redis版本，一般为2.8.x版或者是redis3.0.rc，这依赖于你的unit/linux所连接的wget库 redis为c写成，它的2.4-2.8版都为不稳定版或者是缺少功能或者是有bug，而这些bug在你如果真正使用redis作为网站生产环境时将会因为这些bug而无法面对峰涌而来的巨大并发，因此当有这样的redis运行了一段时间后你的生产环境会面临着巨大的压力 还是redis不够新不够稳定的原因，由于在redis3前redis还不支持集群、主备高可用方案的功能，因此不得不依靠于繁杂的打补丁式的如：linux/unix-keepalive或者是haproxy这种系统级层面然后写一堆的复杂脚本去维护你的redis集群，还要用外部手段（Linux/Unix Shell脚本）去维护多个redis节点间的缓存数据同步。。。这这这。。。不复合我们的网站扩容、增量、运维和面对巨大用户（万级并发-最高支持百万用户如：新浪微博、微信）的场景 因此，我在这边推荐大家使用下面我将要使用的“下载源码包结合你本机的Linux/Unix内核进行实时编译”的安装过程。 第一步：下载redis目前最稳定版本也是功能最完善，集群支持最好并加入了sentinel（哨兵-高可用）功能的redis3.0.7版即redis-stable版，为此我们需要获取redis-stable版 redis官方下载连接 就是用的这个redis-stable.tar.gz包，这是我在写博客时目前最新最稳定版本，修复了大量的BUG和完善了功能。 第二步： 下载后我们把该包上传到我们的docker中的ubuntu14中，我们把它放在/opt目录下 然后我们使用tar -zxvf redis-stable.tar.gz对它进行解压 解压后它就会生成一个redis-stable目录，进入该目录 cd redis-stable 别急，我们先一会编译和安装它 第三步：编译安装redis 我们先输入gcc -v 这个命令来查看我们的gcc版本，如果它低于4.2以下那么你在编译redis3.0.7时一定会碰到大量的出错信息，如前面所述，redis为gcc写成，最新的redis需要gcc4.2-5这个版本才能进行编译，而一般去年或者之前装的linux/unix 的 gcc都为4.0以下或者甚至是3.x版。 升级GCC先 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 apt-get install build-essential 因此apt-get update显得很重要，要不然你获取的gcc也将不是最新的版本，目前我的gcc为5.3.1为这周刚做的升级。 升级后我们开始编译redis3.0.7了，为此我们需要在redis-stable目录下 键入如下命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 make PREFIX=/usr/local/redis1 install 我们告知我们的GCC把redis-stable编译并同时安装在/usr/local/redis1目录下 这个过程很快，可能只有10秒钟时间（依据你的机器来说，建议使用>=8gb, 4核CPU的PC机），然后我们就可以看到everything ok了。我们进入/usr/local/redis1就可以看到我们刚才安装的redis3.0.7稳定版了。 我们进入我们的redis目录 cd /usr/local/redis1/bin 在此目录下我们即可以运行我们的redis server了，不过请别急，在启动前我们需要对redis进行一些配置。 我的博客面对的是“全栈式”工程师的，架构师只是成为全栈式工程师中的一个起点，如果你不会搭环境那么你就不能接触到最新的技术，因此这就是许多程序员工作了近5年，7年结果发觉也只会一个SSH的主要原因。 Redis3配置要领 使用winscp通过122连入docker下的ubuntu14，进行redis的配置。 我们需要编辑的文件为/usr/local/redis1/bin/redis.conf这个文件 [plain] view plain copy 在CODE上查看代码片派生到我的代码片 daemonize yes # When running daemonized, Redis writes a pid file in /var/run/redis.pid by # default. You can specify a custom pid file location here. pidfile "/var/run/redis/redis1.pid" # Accept connections on the specified port, default is 6379. # If port 0 is specified Redis will not listen on a TCP socket. port 7001 我们把: daemonize设为yes，使得redis以后台进程的方式来运行，你可以认为为“server”模式，如果redis以server模式运行的话它会生成一个pid文件 ，因此我们把它的路径放在/var/run/redis目录中，并命名它为redis1.pid文件 ，为此你需要在/var/run目录下建立redis这个目录 端口号我们把它设为7001，这样好辩识，因为将来我们会进一步做redis集群，所以我们的redis都为redis1, redis2, redis3那么我们的端口号也为7001, 7002, 7003。。。这样来延续。那么很多同协这时要问了，“为什么我们不把它命名成master, slave1, slave2这样的名字呢？”，理由很简单，无论是现在的hadoop还是zookeeper它们的集群是跨机房的，多个master间也有MASTER-SLAVE模式互为备份，因为一些大型网站不仅仅只有一个IDC机房，它们一般都会有2个，3个IDC机房，或者是在同一个IDC机房中有“跨机柜”的布署来形成超大规模集群，就和ALI的TAOBAO网一样，它在北美都有机房，因此当你需要在LOCAL NATIVE建一个IDC机房，在北美再做一个机房，你不要想把一个MASTER设在中国，SLAVE设到美国去，而是多地甚至是多机柜都有MASTER，一旦一个MASTER宕机了，这种集群会通过一个叫“选举策略”选出一个节点把这个节点作为当前“群”的MASTER，因此我们的命名才会是redis1, redis2, redis3...这样来命名的。 此处把原来的： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 save 900 1 save 300 10 save 60 10000 中的300 10 和60 10000注释掉。这边代表的是： redis以每900秒写一次、300秒写10次，60秒内写1万次这样的策略把缓存放入一个叫.rdb的磁盘文件中，这点和ehcache或者是memcache很像，以便于redis在重启时可以从本地持久化文件中找出关机前的数据记录。 如果按照默认的话，此三个策略会轮流起效，在大并发环境中，这样的写策略将会对我们的性能造成巨大的影响，因此我们这边只保留900秒写1次这条策略，这边有人会问，如果你这样会有数据丢失怎么办。。。别急，这个问题我们后面会解答，这涉及到redis的“正确”使用，如果它只是一个缓存，我相信5分钟内缓存的丢失此时程序直接访问数据库也不会有太大问题，又要保证数据完整性又要保证性能这本身是一个矛与盾的问题，除非你钱多了烧那我会给出你一个烧钱的配置策略，连新浪都不会这么烧钱，呵呵。 dbfilename，此处我们维持redis原有的缓存磁盘文件的原名 dir "/usr/local/redis1/data"为rdb文件所在的目录 这边大家要注意的是一个是只能写文件名，另一个地方只能写目录名。 为此我们需要在/usr/local/redis1下建立 data目录。 把此处的appendonly设为no，这样我们就关闭了Redis的AOF功能。 AOF 持久化记录服务器执行的所有写操作命令，并在服务器启动时，通过重新执行这些命令来还原数据集。AOF是redis在集群或者是高可用环境下的一个同步策略，它会不断的以APPEND的模式把redis的缓存中的数据从一个节点写给另一个节点，它对于数据的完整性保证是要高于rdb模式的。 RDB 是一个非常紧凑（compact）的文件，它保存了 Redis 在某个时间点上的数据集。 这种文件非常适合用于进行备份： 比如说，你可以在最近的 24 小时内，每小时备份一次 RDB 文件，并且在每个月的每一天，也备份一个 RDB 文件。 这样的话，即使遇上问题，也可以随时将数据集还原到不同的版本。RDB 非常适用于灾难恢复（disaster recovery）：它只有一个文件，并且内容都非常紧凑，可以（在加密后）将它传送到别的数据中心如阿里的mysql异地机房间使用FTP传binlog的做法。 按照官方的说法，启用AOF功能，可以在redis高可用环境中如果发生了故障客户的数据不会有高于2秒内的历史数据丢失，它换来的代价为高昂的I/O开销，有些开发者为了追求缓存中的数据100%的正确有时会碰到因为redis在AOF频繁刷新时整个环境如死机一的情况，并且你会看到恶梦一般的”Asynchronous AOF fsync is taking too long “警告信息，这是因为redis它是单线程的，它在进行I/O操作时会阻塞住所有的操作，包括登录。。。这个很可怕，不过这个BUG/ISSUE已经在最新redis中进行了优化，它启用了另一根进程来进行AOF刷新，包括优化了RDB持久化功能，这也是为什么我让大家一定一定要用最新最稳定版的redis的原因。 一般默认情况下redis内的rdb和AOF功能同为开启， 如果RDB的数据不实时，同时使用两者时服务器重启也只会找AOF文件。 因为RDB文件只用作后备用途，建议只在Slave上持久化RDB文件，而且只要15分钟备份一次就够了，所以我只保留save 900 1这条规则。 如果Enalbe AOF： 好处是在最恶劣情况下也只会丢失不超过两秒数据，启动脚本较简单只load自己的AOF文件就可以了。 代价一是带来了持续的IO，二是AOF rewrite的最后将rewrite过程中产生的新数据写到新文件造成的阻塞几乎是不可避免的。只要硬盘许可，应该尽量减少AOF rewrite的频率，AOF重写的基础大小默认值64M太小了，可以设到5G以上。默认超过原大小100%大小时重写，这边可以设定一个适当的数值。 如果不Enable AOF ，仅靠Master-Slave Replication 实现高可用性也可以。能省掉极大的IO也减少了rewrite时带来的系统波动。代价是如果Master/Slave同时倒掉（那你的网站基本也就歇了），会丢失十几分钟的数据，启动脚本也要比较两个Master/Slave中的RDB文件，载入较新的那个。新浪微博就选用了这种架构。 最后我们不要忘了设一个redis的log文件，在此我们把它设到了/var/log/redis目录，为此我们需要在/var/log目录下建立一个redis目录。 好了，保存后我们来启动我们的redis吧。 我们使用以下这条命令来启动我们的redis server。 然后我们在我们的windows机上装一个windows版的redis 2.8.1 for windows（只用它来作为redis的client端） 然后我们在windows环境下使用： redis-cli -p 7001 -h 192.168.56.101 咦，没反映，连不上，哈哈。。。。。。 那是肯定连不上的，因为： 我们刚才在用docker启动ubuntu14时使用docker -d -p 122:22 ubuntu:ssh //usr/sbin/sshd -D来启动的，这边我们并未把redis服务的7001端口映射到192.168.56.101这台docker主机上，怎么可以通过windows主机（可能windows的ip为169.188.xx.xx）来访问docker内的进程服务呢？对吧，为此我们：先把刚才做了这么多的更改docker commit成一个新的image如：redis:basic吧。 然后我们对docker进行一次大扫除，然后我们启动redis:basic这个image并使用以下命令： [plain] view plain copy 在CODE上查看代码片派生到我的代码片 docker -d -p 122:22 -p 7001:7001 redis:basic //usr/sbin/sshd -D 看，此处我们可以使用多个-p来作docker内容器的多端口映射策略（它其实使用的就是iptables命令）。 好了，用putty连入这个image的进程并启动redis服务，然后我们拿windows中的redis-cli命令来连。 如果在linux环境下还是没有连通（可能的哦），那是因为你没有禁用linux下的防火墙，我们可以使用iptables -F来禁用linux的防火墙或者使用： vi /etc/selinux/config 然后把 SELINUX=enforcing 这句用”#“注释掉 增加一句： SELINUX=disabled #增加 这样每次启动后linux都不会有iptables的困扰了（这是在本机环境下这么干哦，如果你是生产环境请自行加iptables策略以允许redis服务端口可以被访问）。 看到下面这个PONG即代表你的redis服务已经在网络环境中起效了。 下面我们要开始使用Java客户端来连我们的Redis Service了。 使用Spring Data + JEDIS来连接Redis Service Spring+Session+Redis pom.xml 在此我们需要使用spring data和jedis，下面给出相关的maven配置 [html] view plain copy 在CODE上查看代码片派生到我的代码片 <dependencies> <!-- poi start --> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi</artifactId> <version>${poi_version}</version> </dependency> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi-ooxml-schemas</artifactId> <version>${poi_version}</version> </dependency> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi-scratchpad</artifactId> <version>${poi_version}</version> </dependency> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi-ooxml</artifactId> <version>${poi_version}</version> </dependency> <!-- poi end --> <!-- active mq start --> <dependency> <groupId>org.apache.activemq</groupId> <artifactId>activemq-all</artifactId> <version>5.8.0</version> </dependency> <dependency> <groupId>org.apache.activemq</groupId> <artifactId>activemq-pool</artifactId> <version>${activemq_version}</version> </dependency> <dependency> <groupId>org.apache.xbean</groupId> <artifactId>xbean-spring</artifactId> <version>3.16</version> </dependency> <!-- active mq end --> <!-- servlet start --> <dependency> <groupId>javax.servlet</groupId> <artifactId>servlet-api</artifactId> <version>${javax.servlet-api.version}</version> <scope>provided</scope> </dependency> <dependency> <groupId>javax.servlet.jsp</groupId> <artifactId>jsp-api</artifactId> <version>2.1</version> <scope>provided</scope> </dependency> <dependency> <groupId>javax.servlet</groupId> <artifactId>jstl</artifactId> <version>1.2</version> </dependency> <!-- servlet end --> <!-- redis start --> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> <version>2.7.2</version> </dependency> <dependency> <groupId>org.redisson</groupId> <artifactId>redisson</artifactId> <version>1.0.2</version> </dependency> <!-- redis end --> <dependency> <groupId>org.slf4j</groupId> <artifactId>jcl-over-slf4j</artifactId> <version>${slf4j.version}</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-log4j12</artifactId> <version>${slf4j.version}</version> </dependency> <!-- spring conf start --> <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-redis</artifactId> <version>1.6.2.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-webmvc</artifactId> <version>${spring.version}</version> <exclusions> <exclusion> <groupId>commons-logging</groupId> <artifactId>commons-logging</artifactId> </exclusion> </exclusions> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-tx</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-aop</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context-support</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-redis</artifactId> <version>1.6.2.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-orm</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-jms</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework.session</groupId> <artifactId>spring-session</artifactId> <version>${spring.session.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-core</artifactId> <version>${spring.version}</version> </dependency> <!-- spring conf end --> </dependencies> redis-config.xml [html] view plain copy 在CODE上查看代码片派生到我的代码片 <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p" xmlns:context="http://www.springframework.org/schema/context" xmlns:jee="http://www.springframework.org/schema/jee" xmlns:tx="http://www.springframework.org/schema/tx" xmlns:aop="http://www.springframework.org/schema/aop" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd"> <context:property-placeholder location="classpath:/spring/redis.properties" /> <context:component-scan base-package="org.sky.redis"> </context:component-scan> <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"> <property name="hostName" value="${redis.host.ip}" /> <property name="port" value="${redis.host.port}" /> <property name="poolConfig" ref="jedisPoolConfig" /> </bean> <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig"> <property name="maxTotal" value="${redis.maxTotal}" /> <property name="maxIdle" value="${redis.maxIdle}" /> <property name="maxWaitMillis" value="${redis.maxWait}" /> <property name="testOnBorrow" value="${redis.testOnBorrow}" /> <property name="testOnReturn" value="${redis.testOnReturn}" /> </bean> <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate"> <property name="connectionFactory" ref="jedisConnectionFactory" /> </bean> <!--将session放入redis --> <bean id="redisHttpSessionConfiguration" class="org.springframework.session.data.redis.config.annotation.web.http.RedisHttpSessionConfiguration"> <property name="maxInactiveIntervalInSeconds" value="1800" /> </bean> <bean id="customExceptionHandler" class="sample.MyHandlerExceptionResolver" /> </beans> redis.properties [plain] view plain copy 在CODE上查看代码片派生到我的代码片 redis.host.ip=192.168.0.101 redis.host.port=6379 redis.maxTotal=1000 redis.maxIdle=100 redis.maxWait=2000 redis.testOnBorrow=false redis.testOnReturn=true web.xml [html] view plain copy 在CODE上查看代码片派生到我的代码片 <?xml version="1.0" encoding="UTF-8"?> <web-app version="2.5" xmlns="http://java.sun.com/xml/ns/javaee" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd"> <!-- - Location of the XML file that defines the root application context - Applied by ContextLoaderListener. --> <!-- tag::context-param[] --> <context-param> <param-name>contextConfigLocation</param-name> <param-value> classpath:/spring/redis-conf.xml </param-value> </context-param> <!-- end::context-param[] --> <!-- tag::springSessionRepositoryFilter[] --> <filter> <filter-name>springSessionRepositoryFilter</filter-name> <filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class> </filter> <filter-mapping> <filter-name>springSessionRepositoryFilter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping> <session-config> <session-timeout>30</session-timeout> </session-config> <!-- end::springSessionRepositoryFilter[] --> <filter> <filter-name>encodingFilter</filter-name> <filter-class>org.springframework.web.filter.CharacterEncodingFilter</filter-class> <init-param> <param-name>encoding</param-name> <param-value>UTF-8</param-value> </init-param> <init-param> <param-name>forceEncoding</param-name> <param-value>true</param-value> </init-param> </filter> <filter-mapping> <filter-name>encodingFilter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping> <servlet> <servlet-name>dispatcher</servlet-name> <servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class> <init-param> <param-name>contextConfigLocation</param-name> <param-value>classpath:/spring/spring-mvc.xml</param-value> </init-param> <load-on-startup>1</load-on-startup> </servlet> <servlet-mapping> <servlet-name>dispatcher</servlet-name> <url-pattern>/</url-pattern> </servlet-mapping> <!-- - Loads the root application context of this web app at startup. - The application context is then available via - WebApplicationContextUtils.getWebApplicationContext(servletContext). --> <!-- tag::listeners[] --> <listener> <listener-class>org.springframework.web.context.ContextLoaderListener</listener-class> </listener> <!-- end::listeners[] --> <servlet> <servlet-name>sessionServlet</servlet-name> <servlet-class>sample.SessionServlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>sessionServlet</servlet-name> <url-pattern>/servlet/session</url-pattern> </servlet-mapping> <welcome-file-list> <welcome-file>index.jsp</welcome-file> </welcome-file-list> </web-app> 这边主要是一个： [html] view plain copy 在CODE上查看代码片派生到我的代码片 <filter> <filter-name>springSessionRepositoryFilter</filter-name> <filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class> </filter> <filter-mapping> <filter-name>springSessionRepositoryFilter</filter-name> <url-pattern>/*</url-pattern> </filter-mapping> <session-config> <session-timeout>30</session-timeout> </session-config> 这个filter一定要写在一切filter之前 SessionController [java] view plain copy 在CODE上查看代码片派生到我的代码片 package sample; import org.springframework.session.data.redis.config.annotation.web.http.EnableRedisHttpSession; import org.springframework.stereotype.Controller; import org.springframework.ui.Model; import org.springframework.web.bind.annotation.RequestMapping; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpSession; /** * Created by mk on 15/1/7. */ @Controller @EnableRedisHttpSession public class SessionController { @RequestMapping("/mySession") public String index(final Model model, final HttpServletRequest request) { if (request.getSession().getAttribute("testSession") == null) { System.out.println("session is null"); request.getSession().setAttribute("testSession", "yeah"); } else { System.out.println("not null"); } return "showSession"; } } showSession.jsp文件 [html] view plain copy 在CODE上查看代码片派生到我的代码片 <%@ page language="java" contentType="text/html; charset=utf-8" pageEncoding="utf-8"%> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> <title>showSession</title> </head> <body> <% String sessionValue=(String)session.getAttribute("testSession"); %> <h1>Session Value From Servlet is: <%=sessionValue%></h1> </body> </html> 测试 保证我们的redise-server是启动的，然后我们启动起这个web工程后使用： http://localhost:8080/webpoc/mySession访问一下这个controller 此时我们使用redis客户端工具连入查看spring session是否已经进入到了redis中去。 在redis客户端工具连入后我们可以在redis console中使用keys *来查看存入的key，LOOK，spring的session存入了redis中去了。 再来看我们的eclipse后台，由于我们是第一次访问这个controller，因此这个session为空，因此它显示如下： 我们在IE中再次访问该controller 由于之前的session已经存在于redis了，因此当用户在1800秒（30分钟）内再次访问controller，它会从session中获取该session的key testSession的值，因此eclipse后台打印为not null。 SpringRedisTemplate + Redis 讲过了spring session+redis我们来讲使用spring data框架提供的redisTemplate来访问redis service吧。说实话，spring这个东西真强，什么都可以集成，cassandra, jms, jdbc...jpa...bla...bla...bla...Spring集成Barack Hussein Obama? LOL :) pom.xml 不用列了，上面有了 redis-conf.xml 不用列了，上面有了 web.xml 也不用列了，上面也有了 SentinelController.java 我们就先用这个名字吧，后面我们会用它来做我们的redis sentinel（哨兵）的高可用（HA）集群测试 [java] view plain copy 在CODE上查看代码片派生到我的代码片 package sample; import java.util.HashMap; import java.util.Map; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; import org.springframework.data.redis.core.BoundHashOperations; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.stereotype.Controller; import org.springframework.ui.Model; import org.springframework.web.bind.annotation.ExceptionHandler; import org.springframework.web.bind.annotation.RequestMapping; import redis.clients.jedis.Jedis; import redis.clients.jedis.JedisSentinelPool; import util.CountCreater; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpSession; /** * Created by xin on 15/1/7. */ @Controller public class SentinelController { @Autowired private StringRedisTemplate redisTemplate; @RequestMapping("/sentinelTest") public String sentinelTest(final Model model, final HttpServletRequest request, final String action) { return "sentinelTest"; } @ExceptionHandler(value = { java.lang.Exception.class }) @RequestMapping("/setValueToRedis") public String setValueToRedis(final Model model, final HttpServletRequest request, final String action) throws Exception { CountCreater.setCount(); String key = String.valueOf(CountCreater.getCount()); Map mapValue = new HashMap(); for (int i = 0; i < 1000; i++) { mapValue.put(String.valueOf(i), String.valueOf(i)); } try { BoundHashOperations<String, String, String> boundHashOperations = redisTemplate .boundHashOps(key); boundHashOperations.putAll(mapValue); System.out.println("put key into redis"); } catch (Exception e) { e.printStackTrace(); throw new Exception(e); } return "sentinelTest"; } } 打开IE，输入：http://localhost:8080/webpoc/setValueToRedis 观察我们的后台 然后使用redis client连入后进行查看 看。。。这个值key=1的，就是我们通过spring的redisTemplate存入进去的值，即使用下面这段代码进行存入的值： [java] view plain copy 在CODE上查看代码片派生到我的代码片 for (int i = 0; i < 1000; i++) { mapValue.put(String.valueOf(i), String.valueOf(i)); } try { BoundHashOperations<String, String, String> boundHashOperations = redisTemplate.boundHashOps(key); boundHashOperations.putAll(mapValue); 如何你要存入一个简单的如key=test value=hello，你可以这样使用你的redisTemplate [java] view plain copy 在CODE上查看代码片派生到我的代码片 redisTemplate.execute(new RedisCallback<Object>() { @Override public Object doInRedis(RedisConnection connection) throws DataAccessException { connection.set( redisTemplate.getStringSerializer().serialize( "test"), redisTemplate .getStringSerializer() .serialize("hello")); return null; } }); 是不是很方便的哈？结束第一天的教程，明天开始搭建redis集群。
robertklee / AudioEffectsProjectAudio Effects Circuit Design & Embedded Systems (STM32F407 microcontroller) Design Project. Goal: with an analog audio input, pitch shift or add echo effect and output to a speaker. Circuit: designed AC level shifting circuit, active bandpass filter, LED matrix display and DAC quantization error smoothing in KiCad; manufactured as a printed circuit board; soldered components and tested PCB. Embedded Systems: FFT to extract frequency domain; NVIC with timer-raised interrupts to service analog sampling, button debouncing, and image display on LED matrix; memory and clock cycle optimizations
tengfei-emory / ScBatchBatch Effect Correction of RNA-seq Data through Sample Distance Matrix Adjustment
drmackay / SamplematrixcodeSample matrix multiply code to show affect of blocking and data alignment
LCSL / BlessFast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA
