Ulan Sametov usametov

https://grok.com/share/bGVnYWN5_046f4fe1-c33f-4c68-a4d6-51711bc40c07

To address the statement "men also have more sexual partners than women" using graph theory, we can model heterosexual relationships as a bipartite graph and analyze the implications. This approach helps us rigorously evaluate the statement, particularly in the context of averages, which is often implied in such claims.

Step 1: Define the Problem and Model

The statement compares the number of sexual partners between men and women, typically interpreted as comparing the average number of partners. We will focus on heterosexual relationships for simplicity, as this is the most straightforward interpretation of the statement (though we can later consider extensions to other cases). In graph theory terms, we can represent heterosexual relationships as a bipartite graph:

Let ( M ) be the set of all men, and ( W ) be the set of all women.
An edge ( (m, w) ) exists between a man ( m \in M ) and a woman ( w \in W ) if they have

Over the past 8 years (since 2017), the Java programming language has undergone significant improvements, with new features and enhancements introduced in each major release. Oracle shifted Java to a six-month release cycle starting with Java 9 in September 2017, enabling faster delivery of features. Below is a summary of key improvements in Java from Java 9 (2017) to Java 23 (expected in 2024), focusing on major language enhancements, performance improvements, and developer productivity.

Java 9 (September 2017)

Module System (Project Jigsaw)
- Introduced the Java Platform Module System (JPMS) to modularize the JDK and applications.
- Key feature: module-info.java files to define module boundaries, exports, and dependencies.
- Benefits: Improved encapsulation, security, and scalability for large applications.

When scraping websites using Playwright in headless mode, you might get blocked due to anti-bot measures implemented by the target website. These measures often detect automated browsers and block them to prevent scraping. Below are several strategies to help you avoid being blocked, along with implementation tips using Playwright in Python or JavaScript.

Why You're Getting Blocked

Websites use various techniques to detect headless browsers, such as:

User-Agent Detection: Your browser's user-agent might indicate a headless browser.
Browser Fingerprinting: Websites analyze browser properties (e.g., screen resolution, WebGL, plugins) to detect automation.
Behavior Analysis: Websites may track mouse movements, click patterns, or other human-like behavior.
IP Blocking: Frequent requests from the same IP can trigger rate-limiting or blocking.

A/B testing is a powerful method to compare two versions of a user experience (UX) design to determine which performs better. Below is a quickstart guide for conducting A/B testing for UX, with a focus on using R for statistical analysis.

Quickstart Guide to A/B Testing for UX with R

1. Define Your Goal and Metrics

Goal: Identify the specific UX improvement you want to test (e.g., increase button click-through rate, reduce bounce rate, improve form completion).
Metrics:
- Primary Metric: The key performance indicator (KPI) tied to your goal (e.g., conversion rate, time on page).
- Secondary Metrics: Additional metrics to monitor for unintended consequences (e.g., user satisfaction, page load time).
Example: If testing a new button design, your primary metric might be the click-through rate (CTR).

Angular's EventEmitter is a class in the @angular/core module that facilitates event-driven communication between components, particularly in a parent-child component relationship. It’s built on top of Angular’s reactive programming model and is commonly used to emit custom events that other parts of the application can listen to and respond to. Essentially, it’s a way to send data or signals from one component (usually a child) to another (usually a parent).

What is `EventEmitter`?

EventEmitter extends RxJS’s Subject, making it an observable that can emit values to subscribers.
It’s designed specifically for Angular’s component interaction, allowing you to define custom events with the @Output() decorator.
You can emit any type of data (e.g., strings, objects, numbers) through an EventEmitter.

How Does It Work?

Define an EventEmitter in the Child Component: Use the @Output() decorator to mark it as an event that the parent can bind to.
Emit an Event: Call the `em

	from together import Together
	client = Together(api_key = TOGETHER_API_KEY)

	question = "Which is larger 9.9 or 9.11?"

	thought = client.chat.completions.create(
	model="deepseek-ai/DeepSeek-R1",
	messages=[{"role": "user", "content": question}],
	stop = ['</think>']
	)

	// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
	// ©jdehorty

	// @version=5
	indicator('Machine Learning: Lorentzian Classification', 'Lorentzian Classification', true, precision=4, max_labels_count=500)

	import jdehorty/MLExtensions/2 as ml
	import jdehorty/KernelFunctions/2 as kernels

	// ====================

	(ns simba
	(:require [clojure.java.jdbc :as j])
	(:import (com.simba.googlebigquery.jdbc42 Driver)))

	(def conn {:classname "com.simba.googlebigquery.jdbc42.Driver"
	:subprotocol "bigquery"
	:subname "//https://www.googleapis.com/bigquery/v2:443;ProjectId=MY-PROJECT-ID;[email protected];OAuthPvtKeyPath=PATH-TO-P12-FILE"})

	(defn run-query [query] (j/query conn [query]))

	#![allow(unused)] // silence unused warnings while exploring (to comment out)

	use std::{error::Error, str};

	use s3::bucket::Bucket;
	use s3::creds::Credentials;
	use s3::region::Region;
	use s3::BucketConfiguration;

	// Youtube Walkthrough - https://youtu.be/uQKBW8ZgYB8

	;; usage:
	;;
	;; (-> (rsa-keypair 2048)
	;; (generate-secret-key "[email protected]" "hello")
	;; (export-keypair "alice.pub" "alice.sec" true))

	(import
	'[java.util Date]
	'[java.security SecureRandom KeyPair KeyPairGenerator]
	'[org.bouncycastle.jce.provider BouncyCastleProvider]