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Getting started with Apache Mahout | by Trevor Grant – Medium

Apache Mahout 0.13.0 just dropped- a huge release that adds support for Spark CPU/GPU acceleration via native solvers. Apache Maho… Medium·Trevor Grant Apache Mahout: Home

Apache Mahout. The goal of the Apache Mahout™ project is to build an environment for quickly creating scalable, performant machine… Apache Mahout Introducing Apache Mahout – IBM

more common. The need for machine-learning techniques like clustering, collaborative filtering, and categorization has never been …

Apache Mahout is an open-source, distributed linear algebra framework and mathematically expressive Scala DSL designed for creating highly scalable machine learning applications. Originally built in 2008 as a subproject of Apache Lucene to execute MapReduce jobs on Apache Hadoop, modern Mahout has evolved into a backend-agnostic environment. It allows you to run scalable math and machine learning computations primarily on Apache Spark. Core Machine Learning Capabilities

Mahout primarily focuses on three major pillars of machine learning:

Collaborative Filtering (Recommendations): Analyzes user-item behavior matrices to predict preferences. It features tools like Alternating Least Squares (ALS) and Correlated Co-Occurrence to power recommendation engines used by companies like Foursquare.

Clustering: Groups similar data points or documents together. It leverages algorithms like K-Means and Canopy clustering to process text or numerical matrices.

Classification: Learns from labeled training data to predict categories for new data. It implements algorithms like Naive Bayes for sentiment analysis, email spam filtering, and document classification. Key Architectural Concepts

To get started, you must understand how Mahout structures its mathematical framework:

Samsara DSL: A Scala-based Domain Specific Language that allows you to write algebraic code using intuitive, R-like syntax (e.g., val G = B %*% B).

Distributed Row Matrices (DRMs): The backbone data structure in Mahout. DRMs allow massive matrices to be partitioned across a distributed computing cluster.

Native Solvers: To overcome standard JVM speed bottlenecks, Mahout can offload intensive matrix operations to off-heap memory, multiple CPU cores, or GPUs using OpenMP and OpenCL. Step-by-Step: How to Get Started 1. Setup the Environment

Because Mahout scales across a cluster, it requires an underlying execution backend.

Install Java: Ensure a compatible Java Development Kit (JDK) is active.

Install Apache Spark: Setup a standalone Spark cluster or a cloud-based option like Amazon EMR.

Download Mahout: Clone the repository from the Apache Mahout GitHub or download the latest release from the Official Apache Mahout Website. Build the project using Maven. 2. Prepare Data

Mahout algorithms do not read raw, unstructured data directly. You must format your inputs:

Convert to Vectors: Text and categorical data must be mapped into numerical feature vectors.

Generate Sequence Files: Convert your CSV or raw data into Hadoop SequenceFiles (key-value pairs) or Spark RDDs to distribute them over your cluster. 3. Run a Basic Algorithm

You can interact with Mahout either through its interactive Scala shell (mahout spark-shell) or by submitting compiled jobs. For example, executing a basic K-Means Clustering job via the command-line follows this flow:

# 1. Upload your formatted sequence file data to your distributed file system (HDFS/S3) hdfs dfs -put sample_data.csv /input/ # 2. Run the Mahout command specifying input, output, clusters (k), and maximum iterations mahout kmeans-i /input/sample_data.csv -c /clusters/ -o /output/ -k 5 -dm org.apache.mahout.common.distance.CosineDistanceMeasure -x 10 Use code with caution. When to Use Apache Mahout

Choose Mahout if: You are already heavily invested in the Apache Hadoop or Apache Spark ecosystem and need to run heavy matrix math across hundreds of machines using an algebraic Scala script.

Consider alternatives if: You are working on smaller datasets that fit on a single machine, or prefer a pythonic workflow. In those scenarios, libraries like Scikit-learn or PyTorch offer significantly larger ecosystems, simpler local configurations, and more extensive documentation. If you want to map out your initial project, let me know:

What type of data are you working with? (e.g., user ratings, text documents, or transaction logs)

What is your target goal? (e.g., building a recommender or grouping similar data points)

What infrastructure do you plan to use? (e.g., local machine or a cloud provider like Amazon EMR)

I can give you a specific code or command syntax example tailored to your scenario.

Getting started with Apache Mahout | by Trevor Grant – Medium

Some simple things… Follow on posts are going to go into detail about what we can do that is cool in Mahout, but for now let’s jus… Medium·Trevor Grant

Getting started with Apache Mahout | by Trevor Grant – Medium

Apache Mahout 0.13.0 just dropped- a huge release that adds support for Spark CPU/GPU acceleration via native solvers. Apache Maho… Medium·Trevor Grant Apache Mahout: Home

Apache Mahout. The goal of the Apache Mahout™ project is to build an environment for quickly creating scalable, performant machine… Apache Mahout Introducing Apache Mahout – IBM

more common. The need for machine-learning techniques like clustering, collaborative filtering, and categorization has never been … Hands-on with Apache Mahout – VTechWorks – Virginia Tech

This tutorial will provide an introductory glance at how to get up and running using the machine learning capabilities of Apache M… VTechWorks What is Apache Mahout? – Dremio

Apache Mahout is a machine learning library that provides data processing and analytics features for businesses that use big data. Apache Mahout: Machine Learning on Distributed Dataflow …

Abstract. Apache Mahout is a library for scalable machine learning (ML) on distributed dataflow systems, offering various implemen… Journal of Machine Learning Research Apache Mahout: Machine Learning on Distributed Dataflow …

Apache Mahout is a library for scalable machine learning (ML) on distributed dataflow systems, offering various implementations of… Journal of Machine Learning Research

Introduction to Apache Mahout | PDF | Machine Learning – Scribd

The document discusses Apache Mahout, an open source machine learning library. It provides an overview of machine learning strateg… Apache Mahout could use your help : r/MachineLearning

It would be nice to have a course for learning to utilize Mahout in a similar format to the ml-class. It would be much easier to g… Reddit·r/MachineLearning Harnessing the Power of Apache Mahout for Machine …

Welcome to our video tutorial on using Apache mahout for machine. learning today we’ll dive deep into the Fantastic world of machi… YouTube·Coding Tech Room Apache Mahout Tutorial | Edureka

so guys we’ll be discussing I’ll be giving you an overview on Mahoot. and uh we’ll be looking at very fundamental use cases specif… YouTube·edureka!

Apache Mahout: Machine Learning on Distributed Dataflow Systems

License: CC-BY 4.0, see https://creativecommons.org/licenses/by/4.0/. Attribution requirements are provided at http://jmlr.org/pap... Journal of Machine Learning Research Apache Mahout – Wikipedia

Features * Samsara. Apache Mahout-Samsara refers to a Scala domain-specific language (DSL) that allows users to use R-like syntax … A Comprehensive Guide to Scalable Machine Learning

Conclusion. Apache Mahout is a robust framework for scalable machine learning, offering a rich set of features and a supportive co…

Building a Recommender with Apache Mahout on Amazon Elastic …

The Mahout community actively engages with users and developers. You can get involved with Mahout by trying it on EMR, or by downl… Amazon Web Services (AWS) Mahout Tutorial | Mahout YouTube Video | Intellipaat

so this course will give you that approach from a practitioners perspective on how you could take machine learning and how can you… YouTube·Intellipaat Introduction to Apache Mahout | Edureka

so welcome to the module one machine learning with Mahoot. okay let’s see what exact. what what are the concepts we are going to l… YouTube·edureka!

Distributed Machine Learning with Apache Mahout – DZone Refcards

Introduction. Apache Mahout is a library for scalable machine learning. Originally a subproject of Apache Lucene (a high-performan…

Apache Mahout Tutorials For Beginners & Professionals – 2025

Apache Mahout Tutorial … This tutorial gives you an overview and talks about the fundamentals of Apache Mahout. Develop Your Ski… Mahout tutorial | PDF – Slideshare

This document provides an introduction to Apache Mahout, including: – Apache Mahout is an open source machine learning library tha… Slideshare Getting Started with Apache Mahout | PDF – Scribd

Getting Started with Apache Mahout. This document provides an overview of how to get started using Apache Mahout, an open source m… www.scribd.com

Primary Goal: The Art of Singular Focus in a Distracted World

The primary goal of any meaningful endeavor is to anchor our focus, filter out trivial distractions, and provide a clear roadmap for intentional execution. Without a singular, overriding objective, individuals and organizations easily fall prey to “shiny object syndrome”—the counterproductive habit of chasing multiple competing priorities simultaneously. Embracing a single primary goal is not about limiting ambition. Instead, it is about consolidating energy to maximize real-world impact. The Power of One

Trying to achieve everything at once usually results in achieving nothing of significance. Defining a core objective provides distinct strategic advantages:

Eliminates Decision Fatigue: A clear priority automates daily choices by acting as a binary filter—either an activity serves the goal, or it does not.

Optimizes Resource Allocation: Time, capital, and energy are finite; a focal point prevents spreading these resources too thin.

Accelerates Momentum: Small victories built around one specific target create a compounding effect that builds long-term confidence. Anatomy of an Actionable Goal

An effective primary goal must transcend vague, idealistic aspirations. To drive actual results, it needs to be structured with precision:

Ruthlessly Singular: Frame multiple milestones under one unifying, comprehensive mission statement.

Measurably Clear: Establish binary metrics of success so progress can be evaluated objectively without guesswork.

Time-Bound: Create a healthy sense of urgency by setting an explicit, realistic deadline. Overcoming the Multi-Tasking Myth

Modern culture frequently praises the ability to multi-task, yet psychological research reveals that the human brain cannot efficiently process multiple cognitively demanding tasks at once. When we divide our attention, we merely switch rapidly between tasks, which spikes stress levels and introduces errors.

True productivity requires a deliberate shift from horizontal expansion to vertical depth. By dedicating yourself to a primary goal, you choose mastery over mediocrity and progress over mere motion. If you want to tailor this further, tell me:

What is the intended industry or context? (e.g., corporate business, personal development, fitness) What is the desired length or word count? Who is the target audience?

I can modify the tone and details to perfectly match your vision.

The Sage Home The modern home is undergoing a quiet transformation. For years, the focus of residential design centered on intelligence—equipping spaces with smart appliances, automated lighting, and voice-activated assistants. However, a growing movement is shifting the ideal from the “smart home” to the “sage home.” While a smart home relies on technology to optimize convenience, a sage home prioritizes wisdom, sustainability, intentionality, and well-being. It is a space designed not just to react to your commands, but to cultivate peace and support your lifestyle.

Building a sage home requires a thoughtful approach to design, resource management, and daily habits. Harmonious Architecture and Materials

A sage home begins with its physical foundation. It moves away from synthetic materials and embraces biophilic design—the practice of connecting indoor environments with the natural world.

Natural elements: Incorporate untreated wood, stone, wool, and clay to ground the indoor environment.

Indoor-outdoor flow: Use large windows and strategic layouts to maximize natural daylight and views of greenery.

Non-toxic finishes: Select low-VOC paints and organic textiles to ensure high indoor air quality. Mindful Technology Integration

Technology in a sage home is supportive, not intrusive. Instead of screens dominating every room, devices are integrated seamlessly to serve human needs without creating digital distraction.

Hidden tech: Conceal televisions and charging stations behind panels or inside cabinetry when not in use.

Circadian lighting: Program lighting systems to mimic the natural progression of the sun, supporting better sleep cycles.

Analog sanctuaries: Designate specific areas, like a reading nook or a meditation corner, as entirely device-free zones. Conscious Resource Management

True wisdom in homeownership involves acknowledging our relationship with the planet. A sage home operates efficiently and minimizes its ecological footprint through deliberate choices.

Passive heating and cooling: Utilize proper insulation, thermal mass, and window placement to regulate temperature naturally.

Circular water systems: Implement rainwater harvesting and greywater recycling for landscaping needs.

Renewable energy: Rely on solar panels or geothermal systems combined with smart battery storage to achieve energy independence. Curated Clutter-Free Spaces

The philosophy of a sage home rejects consumerism in favor of curation. Every object in the space serves a distinct purpose or brings genuine joy, preventing physical clutter from crowding the mind.

Intentional storage: Build integrated, functional storage that keeps daily items accessible but out of sight.

Quality over quantity: Invest in artisanal, long-lasting furniture rather than mass-produced pieces.

Negative space: Leave areas of walls and floors empty to allow the architecture—and your mind—room to breathe.

Ultimately, the sage home is a reflection of a balanced life. It is an intentional sanctuary that rejuvenates your energy, respects the environment, and provides a calm refuge from an increasingly chaotic world. To help tailor this concept further, let me know:

What is the target audience for this article (e.g., homeowners, interior designers, eco-conscious buyers)? What is the desired length or word count?

The “Top 10 myJabberIM Features You Missed” is a classic retrospective look at JabberIM, one of the earliest open-source, lightweight instant messaging clients built on the extensible XMPP/Jabber protocol. In the early 2000s, it famously competed with heavyweights like ICQ, Yahoo! Messenger, and MSN Messenger.

Because JabberIM was designed to be lean—touting a memory footprint of just 3MB—many users only treated it as a basic text-box client. However, it housed powerhouse, forward-thinking features that standard IM clients didn’t support at the time.

The top 10 hidden or often-overlooked features of myJabberIM include: 1. Multi-Network “Transports” (Gateways)

Instead of running separate desktop clients for AIM, ICQ, MSN, and Yahoo, myJabberIM utilized server-side “transports”. This allowed you to bridge all your other buddy lists directly into a single, unified interface without taxing your computer’s RAM. 2. Tabbed and Split-Screen Text-Chat Rooms

While competitors opened a chaotic mess of individual desktop windows for every separate conversation, myJabberIM popularized highly organized, split-screen multi-party conference rooms. You could follow the main conversation pane while keeping your draft text separated below. 3. XML Custom Extensibility

Because the client was entirely based on open XML streaming, tech-savvy users could manually manipulate data streams. You could write custom automation scripts, bots, or notifications that would trigger actions directly inside the IM window based on incoming text rules. 4. Advanced “Presence” Granularity

Most early-2000s messengers only allowed you to toggle between “Online” and “Away.” myJabberIM allowed highly specific “Presence” indicators. You could broadcast contextual text, custom status notes, and priority levels that let specific groups of contacts know exactly how and when to reach you. 5. Multi-Resource Login (Intelligent Routing)

You could log into your myJabberIM account from multiple computers simultaneously (e.g., your home PC and your work desktop). By setting a “resource priority number,” the network would intelligently route new incoming messages only to the active computer you were sitting at. 6. HTML-Binding and Firewall Traversal

Long before web-chat clients were standard, myJabberIM supported HTTP-binding and proxy settings. This allowed users behind strict corporate firewalls—which typically blocked standard internet chat ports—to successfully tunnel through and message securely. 7. Native VCard Integration

Instead of basic text profiles, myJabberIM utilized the vCard standard. It allowed users to build richly structured personal directories containing phone numbers, physical addresses, and corporate titles that could be imported directly into email clients or local system address books. 8. Local Cryptographic Logging

To balance privacy with documentation, the client introduced localized, encrypted message history logs. Users could archive conversations securely on their hard drives without worrying about local network snoopers reading their plain-text message logs. 9. Roster Group Cloning and Server-Side Storage

Unlike older messengers that saved your buddy list locally to a specific PC’s hard drive, myJabberIM stored your organized contact categories entirely on the server. If you changed computers, your custom contact groupings loaded instantly. 10. Minimalist UI Customization and “Skinning”

Despite its plain, lightweight appearance, myJabberIM allowed users to strip away unnecessary icons, sidebars, and graphical clutter. It pioneered a “borderless minimalist mode” that let the application run unobtrusively on the edge of small monitors.

Are you looking to configure an older XMPP client for modern use, or Features – jabber.at

“The Talk2Me Podcast: Honest Conversations in a Noisy World” (frequently stylized as Talk 2 Me) is a mental health and wellness podcast dedicated to cutting through modern societal pressures to foster genuine human connection. Produced and hosted by staff members from the Enrichment Experience Suicide Prevention Program (EESPP) under RISE Life Services, the show focuses on normalizing vulnerable discussions regarding emotional, mental, and physical well-being. Core Mission & Concept

Destigmatizing Vulnerability: The show focuses heavily on the things people experience internally but rarely say out loud.

Cutting the Noise: It acts as an intentional space to step away from social media pressure, overthinking, and everyday burnout to protect personal peace.

No Scripts: Episodes emphasize unscripted, unfiltered storytelling to build trust and ensure listeners feel less isolated. Episode Topics & Themes

The podcast features structured interviews and discussions with mental health practitioners, educators, parents, community leaders, and individuals sharing their lived experiences. Key themes include:

Self-Image & Identity: Analyzing how self-perception shapes personal confidence, relationships, and everyday decision-making.

Growth & Reflection: Sharing retrospective advice, navigating unexpected life transitions, and discussing lessons hosts wish they had learned sooner.

Cultural Impacts: Exploring how upbringings, family backgrounds, and different cultures dictate how we view and address mental health.

Coping vs. Healing: Breaking down the critical differences between merely surviving traumatic experiences versus actively working toward genuine, long-term recovery. Where to Listen

The podcast is available across standard streaming platforms, with major distribution on Spotify and video components hosted on YouTube. Talk 2 Me: Honest Conversations About Mental Health

Tipard 4K UHD Converter: The Ultimate Ultra-HD Video Solution

The demand for high-quality video software rises as 4K television screens and ultra-high-definition displays become standard in modern homes. High-resolution files often present compatibility issues, massive file sizes, and playback stuttering on older devices. The Tipard 4K UHD Converter provides a reliable desktop solution designed to handle demanding video conversion tasks smoothly.

Below is an in-depth breakdown of what this software offers, its core capabilities, and how it optimizes your multimedia library. Key Features and Capabilities 1. Comprehensive 4K Format Support

The software converts 4K videos to and from various formats. It easily processes videos shot on 4K cameras, iPhones, or downloaded from streaming platforms. Supported formats include: 4K H.265/HEVC (.mp4) 4K H.264/MPEG-4 AVC (.mp4) 4K WebM-VP9 (*.webm) 4K MKV, AVI, FLV, and TS 2. Seamless High-Definition Downscaling

Not every screen can display native 4K content. This tool allows users to downscale 4K UHD videos to 1080p Full HD or 720p Standard HD. This compression helps save storage space on mobile phones, tablets, and external hard drives without sacrificing noticeable visual clarity. 3. Built-In Video Editing Suite

Beyond standard file conversion, the application features an integrated video editor. Users can polish their footage before exporting the final product using several tools:

Clip and Merge: Cut out unwanted segments or combine multiple video files into one fluid clip.

Crop and Rotate: Adjust the frame borders to remove black bars or fix sideways smartphone footage.

Watermark and Subtitles: Overlay custom text, image logos, or external subtitle files (.srt, .ssa, .ass).

Video Effects: Adjust brightness, contrast, saturation, and hue, or apply artistic filters. 4. Hardware Acceleration and Speed

Converting ultra-high-definition files can drain computer CPU resources. Tipard utilizes advanced hardware acceleration technologies, including NVIDIA CUDA, AMD APP, and Intel Quick Sync Video. These integrations speed up the conversion process up to 30 times faster than traditional rendering software. Practical Use Cases

Device Compatibility: Convert 4K media into optimized presets for specific playback hardware like the iPhone, iPad, Android smartphones, PlayStation, and Xbox consoles.

Content Creation: Format raw 4K camera footage into edit-ready formats for professional software like Adobe Premiere or Final Cut Pro.

Web Uploading: Compress heavy UHD files into web-friendly MP4 or WebM formats for faster upload times on YouTube, Vimeo, and social media platforms. Pros and Cons Pros Cons Intuitive, beginner-friendly interface Free trial version limits export video length Fast rendering via GPU hardware acceleration Lacks deep professional color-grading tools Retains excellent visual quality after compression Desktop only; no cloud or mobile app available Final Verdict

Tipard 4K UHD Converter stands out as a practical, efficient utility for everyday consumers and multimedia hobbyists alike. It successfully bridges the gap between massive ultra-high-definition video files and everyday device playback. By pairing powerful encoding speeds with essential editing tools, it removes the technical headaches of modern video management. If you want to tailor this article further, tell me:

The Ultimate Collection of C++ Examples: From Basics to Advanced

To give you the most practical and immediate value, this article focuses on a modern, standard console application environment using C++20. This allows us to explore clean syntax and powerful features without getting bogged down in platform-specific GUI code. 1. The Basics: Fundamentals of C++

Every master was once a beginner. These foundational examples establish the core syntax, control flow, and data handling structures of C++. Hello World

The traditional starting point demonstrates basic output and header inclusion.

#include int main() { std::cout << “Hello, World!” << std::endl; return 0; } Use code with caution. Variables and User Input

This script shows how to declare different data types and accept input from the console.

#include #include int main() { std::string name; int age = 0; std::cout << “Enter your name: “; std::getline(std::cin, name); std::cout << “Enter your age: “; std::cin >> age; std::cout << “Hello ” << name << “, you are ” << age << “ years old. “; return 0; } Use code with caution. Control Flow (If/Else and Loops)

Manage the execution path of your program using conditional logic and loops.

#include int main() { int number = 10; // Conditional if (number % 2 == 0) { std::cout << number << ” is even. “; } else { std::cout << number << ” is odd. “; } // For loop std::cout << “Counting to 5: “; for (int i = 1; i <= 5; ++i) { std::cout << i << ” “; } std::cout << ” “; return 0; } Use code with caution. 2. Intermediate: Functions, Pointers, and Arrays

Move beyond sequential code by organizing your logic into reusable blocks, managing memory address structures, and storing collections of data. Functions and Reference Passing

Passing parameters by reference avoids expensive data copying and allows a function to modify the original variable.

#include // Pass by reference allows modifying the original values void swap(int& a, int& b) { int temp = a; a = b; b = temp; } int main() { int x = 5, y = 10; swap(x, y); std::cout << “x: ” << x << “, y: ” << y << “ “; // Outputs: x: 10, y: 5 return 0; } Use code with caution. Pointers and Memory Addresses

Pointers hold the memory addresses of other variables, forming the bedrock of C++ memory management.

#include int main() { int variable = 42; intpointer = &variable; // Store address std::cout << “Value: ” << variable << “ “; std::cout << “Memory Address: ” << pointer << “ “; std::cout << “Value via Pointer: ” << pointer << “ “; // Dereferencing return 0; } Use code with caution. Dynamic Arrays with std::vector

Avoid rigid C-style arrays. The Standard Template Library (STL) vector handles dynamic resizing automatically.

#include #include int main() { std::vector numbers = {1, 2, 3}; numbers.push_back(4); // Dynamically adds element for (int num : numbers) { std::cout << num << ” “; } std::cout << ” “; return 0; } Use code with caution. 3. Advanced: Object-Oriented Programming (OOP)

C++ is highly regarded for its robust OOP capabilities. These concepts allow you to model real-world systems cleanly. Classes and Objects Encapsulate data and behaviors into distinct classes. Use code with caution. Inheritance and Polymorphism

Use virtual functions to create a unified interface for varying derived class behaviors.

#include #include class Shape { public: virtual void draw() const = 0; // Pure virtual function virtual ~Shape() = default; // Virtual destructor }; class Circle : public Shape { public: void draw() const override { std::cout << “Drawing a Circle. “; } }; class Square : public Shape { public: void draw() const override { std::cout << “Drawing a Square. “; } }; int main() { std::vector> shapes; shapes.push_back(new Circle()); shapes.push_back(new Square()); for (const auto& shape : shapes) { shape->draw(); // Dynamic binding } // Clean up memory for (auto& shape : shapes) { delete shape; } return 0; } Use code with caution. 4. Expert: Templates, Smart Pointers, and Modern Features

Modern C++ focuses on type safety, speed, and automated resource management. Templates (Generic Programming)

Write code once and let the compiler generate types dynamically.

#include template T findMax(T a, T b) { return (a > b) ? a : b; } int main() { std::cout << findMax(10, 20) << ” “; std::cout << findMax(5.5, 2.1) << ” “; return 0; } Use code with caution. Smart Pointers (std::unique_ptr)

Eliminate explicit delete keywords and prevent memory leaks using automatic scoping tools.

#include #include class Resource { public: Resource() { std::cout << “Resource acquired. “; } ~Resource() { std::cout << “Resource destroyed automatically. “; } void doWork() { std::cout << “Working… “; } }; int main() { { std::unique_ptr resPtr = std::make_unique(); resPtr->doWork(); } // resPtr goes out of scope here, memory is automatically freed std::cout << “Scope ended. “; return 0; } Use code with caution. Modern C++20 Concepts

Enforce template arguments to meet specific criteria at compile-time for cleaner error logs.

#include #include // This function only accepts integral types (int, long, char, etc.) template requires std::integral T add(T a, T b) { return a + b; } int main() { std::cout << add(5, 10) << ” “; // Works fine // std::cout << add(5.5, 2.3); // Compile error: double is not an integral type return 0; } Use code with caution.

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