#bfs algorithm example

[xotication]

☆、

i be getting so scared to write some of the things i think of but then i remember that this is my little corner of the internet.. that being said,

imagine a fucken rich kaneki as your bf. we don’t know how he got rich, he just is, so don’t even ask.

but like.. he spoils you rotten. it’s to a point where when he tells you no, you almost don’t know how to act. he has no one to blame but himself.

for example, there’s this one day that you both just decided to stay home & enjoy each others presence. you were laid up in bed, scrolling on tiktok. ken catching z’s next to you. you came across this video of a particular car & this is probably the 5th video you’ve seen of it that morning.

this has to be the algorithm telling you that you need it.

you roll & lean over ken’s figure, he’s fast asleep which is the best time to ask him for something. you begin pecking kisses on his lips & down his neck, all the way down to his bare chest.

“hm?” he hums to you.

“good morning baby!” your sweet voice almost putting him back to sleep. “morning princess.. what do you need?”

you giggle, he’s already assuming you want something. “umm i dunno ken, it’s kinda expensive”

“since when do you know what expensive means..?” his voice is raspy compared to yours. “what is it baby?” he asks you, his hands coming up to play with the fabric of your boy shorts.

“it’s a car.”

ken’s eyes open, for the first time during this whole interaction. he was used to you asking for things by now, but never have you asked him for a car. you never even drive, you’ve been his designated passenger princess for 2 years now. he even has his friends trained to get out of the front seat when they pick you up to join them for whatever occasion.

you woke him up on this fine morning & fixed your lips to ask him for a car before even giving him a kiss. he was a little bit hurt.

kaneki sits up & brings you into an embrace, “uh oh, are you okay?” your question makes him laugh.

“no, are YOU okay..?? gimme a kiss & then ask again.”

you obliged, pulling him for a quick peck. he looks at you, an almost disgusted look on his face.

“you consider that a kiss?”

he rolls his eyes & grabs you by your neck, pulling you in for a more appropriate kiss in his terms.

it’s long & nasty. your tongues are dancing with one another’s & despite having just woke up, he still somehow tastes so good..

a couple more seconds of kissing pass & you find yourself straddling him.. only until you realize what he’s doing.

“kaneki! no sex. i want that carrrrrr ugh”

“mmm.. what car is it baby?”

“a porsche..”

“lemme guess, 911 gt3 rs?”

“yes!! that one”

“tuhhh, only if you let me get you pregnant.”

“WHAT?!” you slapped his bare chest & he cracks up.

“okok, take the black card”

“wdym take it.. i dunno how to buy a car?!”

ken falls back on to the mattress & covers his face with his hand, sighing in defeat.. “sorry, i forgot you don’t buy anything like EVER.”

:3

[apple-r-r-r]

EMPATHY DIMINISHMENT

(blackpill feminism community on Tumblr, op deleted)

─────────────

Typical het drama will be boosted by social media algorithms than a single woman making content about her own true beliefs or just about anything that doesn't involve hypersexualized pornified thirst traps and offensive ragebaiting. Mind you I didn't even actively search or look for this content, Tiktok's robot AI just thought it would be the perfect video to boost on to people's feeds and likely right in front of young kids browsing the platform to see a man who probably looks exactly like their fathers not being an oh-so lovable cuddly golden retriever nigel that they know and adore compared to their ""villainous"" mothers who cook their shit, practically wipe their asses and keep their ungrateful selves alive. I could only imagine the amount of videos or accounts just like this one where kids run up to their parents scared asking, "mommy/daddy what is this???"

Sigh.. it is really, really, really hard to support and empathize these types of women who likely saw the red flags, had the butterflies in her stomach, the power gut punch intuitive nods, the gnawing feeling at the back of her mind, the small little hints that her pet nigel was likely going to be trouble and didn't care. It's hard to empathize and have compassion for women like this who not only probably ignored the red flags, didn't care, and had a child with the scrote (not caring what vulnerable person you birthed and put through your own drama and mess is fucking despicable). It is hard to empathize with women who want to always be victims and are not willing to come to the harsh reality that yes, you are going to have to fight for your life and risk it for your freedom, and your sanity because human nature does not and will never unconditionally give these things for you and waiting for big daddy (their bfs, hubbies, male-dominant governments, bosses, etc.) to finally stop their subhuman violent acts and become more "decent' is harmful, masochistic, delusional thinking. It is hard to empathize when you make content like this to unfold some kind of story of forlorn misunderstood bambi against the terror of (one singular) man who is haha-of course not all men of course!!!! It just feels really off to me when women do this, I don't know why and can't explain it.

These types of women really get off to being the helpless fawn where society will then beckon their call and save them from the evil dragon (who yes of course is not like every man because "bad" men are anomalies or like cartoonish supervillains and not apart of real historical lived material reality lol) but god forbid you notice patterns, notice synchronocities, say "yes all men/not all men until your man does" and take action to refuse to be victimized. A lot of women think it's the inevitable to be a victim and this is what happens when you stay and dwell within that line of thinking and think certain nods and suggestions from others about claiming your own liberation and empowerment as offensive 'victim-blaming'. It's sad this happens of course but holy shit, can women get into a warrior mindset and cull these fuckers already? Throw a chair straight into his chest like he did with that fridge and stop recording ffs.

The blackpill here in this post is that they can't because most are not born like that and since we live in a world dictated by male law, they won't even try because they will be made as examples and thoroughly punished/ostracized and many women rather lay down and take it until someone comes and saves them or they surrender to survival of the fittest and the fittest are XYs who've been bred as literal human pitbulls. This society is depraved because it metaphorically breaks the kneecaps of women where they're unable to run and fight from their own oppression and then has the nerve to act like the healing aid to fix them and to be the hero, it's such a fucking crazy ass mind control slave world that actually loves and adores victimhood despite many holding anti-victimhood beliefs and larping as stoics who could nevarrrr be a victim, please, the heroic stoic and the fawning victim like the user-empath narcissist exist in carefully designed symbiosis. I think the problem here is that women not just feminists have made women think that you can have it all, you can have your freedom and co-exist with men, you don't really have to sacrifice, fight, defend, or risk anything, nature will fix and cure everything man-made because everything is tehee-socialization (just-world fallacy at work in these people's minds) and that is what we have today with women with severe cognitive dissonance, weakness and think any act is a feminist act. You have to give up your families, give up your financial security, give up your friends, give up your connection to normal society, be your own support system and your own strength and will to live to make an actual tangible change.

[themonsterwitch]

So I pay attention to the ads I get. I like noticing when certain ads get recommended me more, because while the word algorithm fills me with rage I also think it's kinda cool. For example: whenever I'm listening to a lot of Spanish music, I start getting ads in Spanish (mainly dish soap), which is always fun. Whenever my bf uses my computer to look something up, I get a swathe of car ads because he's looking up car stuff. I've gotten a lot of army ads since the new year started (which is weird, because I know I have that ad preference turned off and I'm NOT that target demographic). I've finally gotten recommended some cool looking indie games. I visit LinkedIn often enough that I have a bunch of workplace management ads. I just think it's neat.

[snaildotexe]

Software Technical Interview Review List

Data Structures

Arrays (and Java List vs ArrayList)

String

Stack

Queue

LinkedList

Algorithms

Sorting (Bubblesort, Mergesort, Quicksort)

Recursion & Backtracking

Linear and Binary Search

String/Array algos

Tree traversal

Dynamic Programming

Graph algos (DFS, BFS, Dijksta's and Kruskals)

OOP fundamentals

Polymorphism

Inheritance

Encapsulation

Data abstraction

SOLID and GRASP

Explanations & example questions:

Strings and Arrays [ 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 ]

Stacks and Queues [ 1 | 2 ]

LinkedList [ 1 | 2 ]

Sorting & searching [ 1 | 2 | 3 | 4 | 5 | 6 | 7 ]

Recursion and Backtracking [ 1 | 2 | 3 | 4 ]

Dynamic Programming [ 1 | 2 | 3 | 4]

Graphs [ 1 | 2 | 3 ]

Tree [ 1 | 2 ]

General DS&A info and questions [ 1 | 2 | 3 | 4 | 5 ]

OOP review & questions [ 1 | 2 | 3 ]

[adayiniilm]

Data Structures and Algorithms: The Building Blocks of Efficient Programming

The world of programming is vast and complex, but at its core, it boils down to solving problems using well-defined instructions.  While the specific code varies depending on the language and the task, the fundamental principles of data structures and algorithms underpin every successful application.  This blog post delves into these crucial elements, explaining their importance and providing a starting point for understanding and applying them.

What are Data Structures and Algorithms?

Imagine you have a vast collection of books.  You could haphazardly pile them, making it nearly impossible to find a specific title.  Alternatively, you could organize them by author, genre, or subject, with indexed catalogs, allowing quick retrieval. Data structures are the organizational systems for data. They define how data is stored, accessed, and manipulated.

Algorithms, on the other hand, are the specific instructions—the step-by-step procedures—for performing tasks on the data within the chosen structure.  They determine how to find a book, sort the collection, or even search for a particular keyword within all the books.

Essentially, data structures provide the containers, and algorithms provide the methods to work with those containers efficiently.

Fundamental Data Structures:

Arrays:  A contiguous block of memory used to store elements of the same data type.  Accessing an element is straightforward using its index (position).  Arrays are efficient for storing and accessing data, but inserting or deleting elements can be costly.  Think of a numbered list of items in a shopping cart.

Linked Lists: A linear data structure where elements are not stored contiguously. Instead, each element (node) contains data and a pointer to the next node. This allows for dynamic insertion and deletion of elements but accessing a specific element requires traversing the list from the beginning.  Imagine a chain where each link has a piece of data and points to the next link.

Stacks:  A LIFO (Last-In, First-Out) structure. Think of a stack of plates: the last plate placed on top is the first one removed.  Stacks are commonly used for function calls, undo/redo operations, and expression evaluation.

Queues: A FIFO (First-In, First-Out) structure.  Imagine a queue at a ticket counter—the first person in line is the first one served. Queues are useful for managing tasks, processing requests, and implementing breadth-first search algorithms.

Trees:Hierarchical data structures that resemble a tree with a root, branches, and leaves.  Binary trees, where each node has at most two children, are common for searching and sorting.  Think of a file system's directory structure, representing files and folders in a hierarchical way.

Graphs:  A collection of nodes (vertices) connected by edges.  Represent relationships between entities. Examples include social networks, road maps, and dependency diagrams.

Crucial Algorithms:

Sorting Algorithms:  Bubble Sort, Insertion Sort, Merge Sort, Quick Sort, Heap Sort—these algorithms arrange data in ascending or descending order.  Choosing the right algorithm for a given dataset is critical for efficiency.  Large datasets often benefit from algorithms with time complexities better than O(n^2).

Searching Algorithms:  Linear Search, Binary Search—finding a specific item in a dataset.  Binary search significantly improves efficiency on sorted data compared to linear search.

Graph Traversal Algorithms:  Depth-First Search (DFS), Breadth-First Search (BFS)—exploring nodes in a graph.  Crucial for finding paths, determining connectivity, and solving various graph-related problems.

Hashing:  Hashing functions take input data and produce a hash code used for fast data retrieval. Essential for dictionaries, caches, and hash tables.

Why Data Structures and Algorithms Matter:

Efficiency:  Choosing the right data structure and algorithm is crucial for performance.  An algorithm's time complexity (e.g., O(n), O(log n), O(n^2)) significantly impacts execution time, particularly with large datasets.

Scalability:Applications need to handle growing amounts of data.  Well-designed data structures and algorithms ensure that the application performs efficiently as the data size increases.

Readability and Maintainability:  A structured approach to data handling makes code easier to understand, debug, and maintain.

Problem Solving:  Understanding data structures and algorithms helps to approach problems systematically, breaking them down into solvable sub-problems and designing efficient solutions.

[qualitestgroupqt]

Future Trends in Salesforce CRM Testing for the BFS Sector  

The banking and financial sector relies on robust CRM (customer relationship management) systems for several reasons. It includes improving customer experience, streamlining operations, and ensuring legal compliance. Salesforce CRM is the best choice for institutions. This is due to its scalability, adaptability, and industry-specific proficiencies.  

As the BFS sector is evolving constantly, Salesforce CRM testing services are essential. It's because it ensures compliance and seamless functionality.  

In this blog, you will learn about the future trends in Salesforce CRM testing. It also includes how they align with the dynamic needs of the BFS sector.  

Shift Towards AI-Driven Testing  

The integration of AI into Salesforce testing solutions is transforming how CRM platforms are tested. AI-powered tools can replicate real-world scenarios and optimize testing processes. Not only this, but they can also predict potential system failures. When it comes to financial services, system reliability and customer trust are crucial. Thus, adopting AI-driven Salesforce testing services ensures compliance and better performance.  

For example:  

Optimizing Test Case: Accurate algorithms generate and prioritize test cases with respect to risk factors and historical data. Thus, ensuring a comprehensive evaluation of key Salesforce CRM functionalities.  

Predictive Analytics: AI helps in identifying potential risks before they occur. Thus, improving test accuracy and reducing downtime.  

Improved Security Testing  

Cyber threats and data breaches are the two key concerns for financial institutions. If you are in the financial sector, opting for security-focused Salesforce testing services will be an ideal choice. Security testing for Salesforce CRM is becoming more advanced to address the challenges listed below:  

Penetration Testing: Simulating cyberattacks to detect vulnerabilities in the Salesforce ecosystems.  

Access Control Testing: Verifying role-based permissions and access to avoid unauthorized activities.  

Data Encryption Validation: It ensures that confidential customer data is secure and encrypted.  

Integration Testing for Omnichannel Banking  

The financial sector is shifting towards omnichannel banking. Thus, Salesforce CRM must integrate with several third-party applications, platforms, and APIs. Integration testing is becoming a key aspect of Salesforce testing services. When it comes to financial institutions and banks, integration-focused testing is essential. It ensures customer satisfaction and operations.  

It also ensures:  

User Experience Consistency: Unified customer experiences across mobile, web, and in-branch interactions.  

Data Synchronization: Accurate and real-time data flow across systems.  

Cross-Platform Compatibility: Ensuring Salesforce CRM works flawlessly with legacy systems and emerging technologies.  

DevOps Integration in Salesforce Testing  

Implementing DevOps practices in financial institutions is essential. It plays a vital role in Salesforce CRM testing services process. Salesforce testing services driven by DevOps ensure resilience and agility in the finance industry. When it comes to Salesforce CRM testing services, the integration of DevOps offers several benefits.  

It includes:  

Enhanced Collaboration: Better coordination between QA and development teams ensures better results.  

Real-Time Feedback: Constant monitoring and testing allow quick identification and solving of issues.  

Quick Release Cycles: Automated testing and deployment pipelines reduce time to market.  

Significance of Legal Compliance Testing  

The financial sector is subject to strict regulations. This includes PCI DSS, GDPR, and Basel III. Salesforce CRM systems should align with these legal standards. This is to avoid fines and ensure data integrity. The legal landscape is evolving continuously. Thus, the demand for specialized Salesforce CRM testing services that meet financial compliance will increase.  

Salesforce CRM testing services use compliance validation tools. It ensures that the Salesforce configurations meet industry standards.  

Automated compliance testing frameworks are becoming a key component of the Salesforce CRM testing services. Thus, lessening manual efforts and improving accuracy.  

Enhanced Focus on Customer Experience (CX) Testing  

Customer experience and satisfaction play a vital role in the banking industry. Salesforce CRM plays a key role in providing efficient and customized services. Future Salesforce CRM testing services will prioritize client-centric testing. This improves satisfaction and loyalty.  

Customer experience (CX) testing includes:  

Accessibility Testing: It ensures that even individuals with disabilities can use CRM. The testing also ensures to have WCAG standards.  

User Journey Testing: It validates end-to-end customer journeys to make sure to have seamless interactions.  

Performance Testing: This testing assesses system responsiveness and speed during high transaction volumes.  

Automation-First Approach  

The usage of automation tools is changing the Salesforce CRM testing services. Automation reduces human error, enhances efficiency, and boosts the deployment cycle. Automation-first Salesforce CRM testing services are essential for financial institutions. It can adapt to market demands quickly while maintaining quality.  

Key trends are:  

CI/CT: CI/CT stands for Continuous Integration/Continuous Testing. Automate testing within the CI/CD pipelines. This ensures quicker delivery and minimal disruptions.  

Scriptless Test Automation: Tools that allow non-technical testers to create test scripts using drag-and-drop interfaces.  

Usage of Agile Testing Methodologies  

Agile methodologies are reshaping Salesforce CRM testing services through iterative development and constant feedback. It helps financial institutions to stay ahead in the competitively changing landscape.  

Agile testing trends consist of:  

Test-Driven Development (TDD): It includes writing tests prior to developing features. This is to ensure alignment with the essential requirements.  

Exploratory Testing: It allows testers to find defects beyond predefined test cases.  

Behavior-Driven Development (BDD): It bridges the gap between technical and business teams via collaborative testing methods.  

Cloud-Native Testing Strategies  

Salesforce functions in a cloud environment. This makes cloud-native testing strategies essential. With cloud-native Salesforce testing services, financial institutions use Salesforce testing solutions while avoiding risks.  

It includes:  

Latency Testing: This testing assesses the responsiveness of the system under diverse network conditions.  

Scalability Testing: It ensures the CRM can manage the increasing user and data volumes without performance degradation.  

Disaster Recovery Testing: This testing verifies backup and restoration mechanisms in case of system failures.  

Rise of Blockchain Testing  

Salesforce CRM systems are becoming integrated with blockchain. This is for improved transparency and security. Salesforce testing solutions focused on blockchain will play a key role in the financial industry's digital transformation.  

Testing these integrations includes:  

Data Integrity Testing: It verifies that the data stored in the blockchain is tamper-proof.  

Smart Contract Validation: It makes sure that blockchain transactions align with the essential terms and conditions.  

Interoperability Testing: It assesses smooth interaction between the blockchain network and Salesforce CRM.  

Final Words  

Salesforce CRM testing services have a promising future in the banking and financial sector. The evolution of testing solutions is helping companies to solve unique challenges. This ranges from AI-driven innovations to agile methodologies.  

In the financial sector, leveraging Salesforce testing solutions is essential. It ensures operational efficiency, customer satisfaction, and legal compliance.  

Today, technology is reshaping the financial landscape. Thus, partnering with the best Salesforce CRM testing services provider would be best. They will help you stay ahead in the competitive industry.  

Are you looking forward to partnering with the ideal Salesforce CRM testing services provider? If yes, then get in touch with the Qualitest team. They offer the best service to ensure the reliability and performance of Salesforce applications. Additionally, they also ensure the functionality of the Salesforce application. Their team has expertise in several Salesforce clouds. It includes CPQ, sales cloud, marketing cloud, commerce cloud, and sales cloud.  

[finarena]

DSA Channel: The Ultimate Destination for Learning Data Structures and Algorithms from Basics to Advanced

DSA mastery stands vital for successful software development and competitive programming in the current digital world that operates at high speeds. People at every skill level from beginner to advanced developer will find their educational destination at the DSA Channel.

Why is DSA Important?

Software development relies on data structures together with algorithms as its essential core components. Code optimization emerges from data structures and algorithms which produces better performance and leads to successful solutions of complex problems. Strategic knowledge of DSA serves essential needs for handling job interviews and coding competitions while enhancing logical thinking abilities. Proper guidance makes basic concepts of DSA both rewarding and enjoyable to study.

What Makes DSA Channel Unique?

The DSA Channel exists to simplify both data structures along algorithms and make them accessible to all users. Here’s why it stands out:

The channel provides step-by-step learning progress which conservatively begins by teaching arrays and linked lists and continues to dynamic programming and graph theory.

Each theoretical concept gets backed through coding examples practically to facilitate easier understanding and application in real-life situations.

Major companies like Google, Microsoft, and Amazon utilize DSA knowledge as part of their job recruiter process. Through their DSA Channel service candidates can perform mock interview preparation along with receiving technical interview problem-solving advice and interview cracking techniques.

Updates Occur Regularly Because the DSA Channel Matches the Ongoing Transformation in the Technology Industry. The content uses current algorithm field trends and new elements for constant updates.

 DSAC channels will be covering the below key topics

DSA Channel makes certain you have clear ideas that are necessary for everything from the basics of data structures to the most sophisticated methods and use cases. Highlights :

1. Introduction Basic Data Structures

Fundamentals First, You Always Need To Start With the Basics. Some of the DSA Channel topics are:

Memories storing and manipulating elements of Arrays

Linked Lists — learn linked lists: Singly Linked lists Dually linked lists and Circular linked list

Implementing Stacks and Queues — linear data structure with these implementations.

Hash Table: Understanding Hashing and its impact in the retrieval of Data.

2. Advanced Data Structures

If you want to get Intense: the DSA channel has profound lessons:

Graph bases Types- Type of Graph Traversals: BFS, DFS

Heaps — Come to know about Min Heap and Max Heap

Index Tries – How to store and retrieve a string faster than the fastest possible.

3. Algorithms

This is especially true for efficient problem-solving. The DSA Channel discusses in-depth:

Searching Algorithms Binary Search and Linear Search etc.

Dynamic Programming: Optimization of subproblems

Recursion and Backtracking: How to solve a problem by recursion.

Graph Algorithms — Dijkstra, Bellman-Ford and Floyd-Warshall etc

4. Applications of DSA in Real life

So one of the unique things (About the DSA channel) is these real-world applications of his DSA Channel.

Instead of just teaching Theory the channel gives a hands-on to see how it's used in world DSA applications.

Learning about Database Management Systems — Indexing, Query Optimization, Storage Techniques

Operating Systems – study algorithms scheduling, memory management,t, and file systems.

Machine Learning and AI — Learning the usage of algorithms in training models, and optimizing computations.

Finance and Banking — data structures that help us in identifying risk scheme things, fraud detection, transaction processing, etc.

This hands-on approach to working out will ensure that learners not only know how to use these concepts in real-life examples. 

How Arena Fincorp Benefits from DSA?

Arena Fincorp, a leading financial services provider, understands the importance of efficiency and optimization in the fintech sector. The financial solutions offered through Arena Fincorp operate under the same principles as data structures and algorithms which enhance coding operations. Arena Fincorp guarantees perfect financial transactions and data protection through its implementation of sophisticated algorithms. The foundational principles of DSA enable developers to build strong financial technological solutions for contemporary financial complications.

How to Get Started with DSA Channel?

New users of the DSA Channel should follow these instructions to maximize their experience:

The educational process should start with fundamental videos explaining arrays together with linked lists and stacks to establish a basic knowledge base.

The practice of DSA needs regular exercise and time to build comprehension. Devote specific time each day to find solutions for problems.

The platforms LeetCode, CodeChef, and HackerRank provide various DSA problems for daily problem-solving which boosts your skills.

Join community discussions where you can help learners by sharing solutions as well as working with fellow participants.

Students should do Mock Interviews through the DSA Channel to enhance their self-confidence and gain experience in actual interview situations.

The process of learning becomes more successful when people study together in a community. Through the DSA Channel students find an energetic learning community to share knowledge about doubts and project work and they exchange insight among themselves.

Conclusion

Using either data structures or algorithms in tech requires mastery so they have become mandatory in this sector. The DSA Channel delivers the best learning gateway that suits students as well as professionals and competitive programmers. Through their well-organized educational approach, practical experience and active learner network the DSA Channel builds a deep understanding of DSA with effective problem-solving abilities.

The value of data structures and algorithms and their optimized algorithms and efficient coding practices allows companies such as Arena Fincorp to succeed in their industries. New learners should begin their educational journey right now with the DSA Channel to master data structures and algorithms expertise.

[kristinahertzz]

Blow Fill Seal (BFS) Technology Market

Blow Fill Seal (BFS) Technology Market Size, Share, Trends: Rommelag Kunststoff-Maschinen Vertriebsgesellschaft mbH Leads

Integration of Robotics and Automation Enhances BFS Production Efficiency and Quality Control

Market Overview:

The Blow Fill Seal (BFS) Technology Market is projected to grow at a CAGR of 6.8% from 2024 to 2031, reaching a value of USD 4.5 billion by 2031. Europe dominates the market, accounting for 35% of the global share. Key factors driving this growth include increasing demand for aseptic packaging in pharmaceuticals, growing adoption in the food and beverage industry, and technological advancements in BFS machinery.

The BFS technology industry is expanding rapidly, driven by increased demand for sterile and contamination-free packaging solutions, particularly in the pharmaceutical and healthcare industries. This trend is encouraged by the technology's capacity to lower packing costs and increase production efficiency. 

DOWNLOAD FREE SAMPLE

Market Trends:

The integration of robotics and automation into Blow Fill Seal (BFS) technology is a significant trend shaping the market. Manufacturers are increasingly incorporating advanced robotics and automated technologies into BFS production lines to enhance efficiency, precision, and quality control. This trend is particularly prominent in the pharmaceutical sector, where stringent quality requirements and the need for high-volume production coexist. Robotic systems are being utilized for tasks such as mold handling, container transfer, and quality inspection, reducing human intervention and minimizing contamination risks. Advanced vision systems and artificial intelligence algorithms are being deployed to perform real-time quality checks, identify defects, and ensure consistency in container formation and filling.

Market Segmentation:

Bottles dominate the Blow Fill Seal (BFS) technology market, providing versatile packaging solutions for various liquid and semi-liquid products. This segment's growth is driven by its extensive use in pharmaceutical applications, especially ophthalmic solutions, respiratory treatments, and oral medications.

Recent advancements in BFS bottle technology have aimed to improve design flexibility and material compatibility. For example, in 2023, a leading BFS equipment manufacturer introduced a new machine capable of producing multi-chamber bottles, allowing for the separate storage of incompatible substances that are mixed at the point of application. The global BFS bottle market is predicted to reach USD YY billion by 2031, increasing at a CAGR of 7.2% between 2024 and 2031. This growth is driven by increased acceptance in the over-the-counter (OTC) pharmaceutical market, with BFS bottles seeing a 15% year-over-year increase in usage for liquid OTC drugs by 2023.

Market Key Players:

Prominent players in the BFS technology market include Rommelag Kunststoff-Maschinen Vertriebsgesellschaft mbH, Unither Pharmaceuticals, Recipharm AB, Catalent, Inc., Curida AS, Unipharma, LLC, Weiler Engineering, Inc., The Ritedose Corporation, Unicep Packaging, LLC, and Lyondellbasell Industries N.V. These companies are leading the market with their innovative approaches, extensive product portfolios, and robust distribution networks, continuously setting industry standards and driving market growth.

Contact Us:

Name: Hari Krishna

Email us: hari.krishna@aurorawaveintellects.com

Website: https://aurorawaveintellects.com/

[kaiserouo]

im on my train and im bored so let's do this fully, by that i mean completing the maze with the shortest path

the first step is to isolate the path. bumping the contrast is good enough, but a cleaner way to do this is to do a simple thresholding, this makes the image binary (i.e., black and white) and makes the later processes simpler

i picked the threshold manually (value 200), we just need to make the maze look visible

since we wanna find a path (along the white line) from start to finish, we'd like the line to not be so thick, preferrably just one pixel thick, so we have a clearer path to walk on later. this process is called thinning in computer vision

the thresholding result and the thinning result are the below two images

now we walk from bottom to top (either way is fine). we simply do a breadth-first-search (BFS) to find the shortest path, where the nodes are the white pixels and the edges are the link between the neighbors

when the BFS reaches the other side, we can backtrack and get the result path

the time complexity of the maze solving BFS itself should be roughly O(number of white pixels), and the number of pixels is definitely under 1e8 (100,000,000), by the rule of thumb in comp sci field this program should be done under 1 second and there's really no need for further optimization

the code btw

Also two things to note:

1. There are algorithms to generate a valid maze, the (probably) most famous one is called Eller's algorithm, which basically guarentees that if you bucket fill the path at the start it will fill the whole maze. Thats probably why the original post's method didnt really reduce the search space

2. There are also algorithms to complete a maze with simple rules, for example the also famous hand-on-wall rule, where you just use one hand to touch the wall, keep following the wall until you reach the end. It does need some condition on the maze and almost definitely not the shortest path to solve the maze, but yeah you could try if you run out of options

edit: if you are actually looking at the code, tbh all (x, y) shouldve been written as (r, c) (meaning row & column) instead. oh well, im not gonna edit that now

SOBBING

ok so someone in a server im in sent this maze and told another friend to solve it, and i said i'd solve it my plan was simple, i was just going to use the bucket tool to fill in at least the main path from the start to the end.. there was an issue though

the image wasnt very high res so this anti aliasing made the bucket tool not play nicely. i figured i'd just use a levels adjustment layer to bump up the contrast and that worked well!

and so I covered the start and end with red, then used the bucket tool to fill in the rest. ..the maze had no disconnected parts, and my levels adjustment made the seal and ball at the top and bottom become uhh..

FUCKING. EVIL MAZE. JUMPSCARE

[herovired12]

BFS and DFS are important for exploring graphs, each having unique advantages. BFS is great for finding the shortest path in unweighted graphs, while DFS works well for deep exploration tasks like puzzles and topological sorting. Knowing when to use each algorithm helps you solve problems efficiently and effectively in different situations. Check here to learn more about the Difference Between BFS and DFS.

[jeremy-ken-anderson]

All right. So.

Interesting mapping question.

Suppose you have a map, represented as a graph with coordinates.

And your little robot is told the coordinates of the exit of a maze, but not where any of the obstacles are.

Do you alter your algorithm to make use of this?

I feel like I'd run two algorithms - an "assume-it's-easy" search and then the common breadth-first as a backup.

Assume-It's-Easy Search would be a variant of Depth-First where instead of a standard "NESW" clockwise rotation for deciding what direction to try next on arriving in a given square, it starts by attempting to go toward the correct coordinates. If you're at (1,1) and you know the goal is at (5,5) the first move you TRY should be toward (1,2) or (2,1). It should not be toward (1,0) or (0,1).

This cuts out the usual problem with Depth-First Search - that being that when it doesn't guess the direction correctly on the first try it can spend an inordinate amount of time going the wrong way. After all, "depth first" means going until it hits some form of dead end before trying an alternative.

But in a program like Maps you're not "guessing direction." You have to be careful about city streets that will literally only let you go the right way after going the wrong way for 6 blocks (lookin' at you, Boston), but generally you can determine that you want to go toward [place you said you wanted to go] and prioritize that.

This also answers a curiosity I had during class: Why the hell were we even learning about Depth-First Search? We learned about DFS and BFS at the same time as if they were equal and then were introduced to a bunch of examples where BFS was vastly superior.

But when it comes to applying values to the process of where to search next because you do have information about your target? Depth-First Search is often better! While it's possible to have mazes where going as straight as possible toward the exit you can see is secretly counterproductive, randomly-generated mazes are not going to trend toward that being the case. Usually, the Depth-First will be getting closer to the goal faster, and I'd bet most of the time that will result in enough trimming of the overall problem that it solves it faster than BFS.

The thing is, you can apply this superior information to BFS but it won't help. If you tell a BFS to prioritize "go the right way" it's still only doing that for a single room or intersection. So in the above "go from 1,1 to 5,5" example, it would start by adding 1,2 and 2,1 to the list, yes, but then it would still look at 1,0 and 0,1 before adding 1,3 or 2,2 or 3,1. Because that's what "breadth-first" means. It means assessing all the options attached to a given node before moving on to the next one, and prioritizing what's closest to your start point to make sure you've searched everything and can efficiently return the shortest route.

[codingclassestipsandtricks]

Is it hard to pass coding interview?

Coding interviews can be challenging, but whether they are "hard" or not depends on various factors, including your level of preparation, the specific interview format, the company's expectations, and your prior coding experience. Here are some factors to consider:

1. Preparation: The Foundation of Success

Adequate preparation is crucial for success in coding interviews. If you've invested time in learning and practicing data structures, algorithms, and problem-solving techniques, you'll be better equipped to tackle interview questions. Regularly practicing coding challenges on platforms like LeetCode, HackerRank, and CodeSignal can enhance your problem-solving skills and prepare you for technical interviews.

It's also beneficial to recognize common problem-solving patterns, such as two pointers, sliding window, depth-first search (DFS), and breadth-first search (BFS). Familiarity with these patterns can help you approach problems more efficiently and effectively.

2. Experience: The Role of Familiarity

Your level of experience in coding and problem-solving plays a significant role in determining how challenging coding interviews feel. If you're already proficient in coding and have experience with algorithms and data structures, coding interviews may be less daunting. Conversely, if you're relatively new to these concepts, the learning curve can make interviews seem more difficult.

Building a strong foundation in computer science fundamentals and gaining practical experience through projects can boost your confidence and performance in interviews. Additionally, participating in coding challenges and hackathons can provide valuable exposure and opportunities to showcase your skills.

3. Interview Format: Varies by Company

The difficulty of coding interviews can vary based on the format. Some companies focus on algorithmic questions, while others emphasize system design, behavioral questions, or coding exercises related to the role. Understanding the specific interview format of the company you're applying to can help you tailor your preparation accordingly.

For instance, companies like Google and Facebook often prioritize algorithmic problem-solving, while companies like Amazon may place more emphasis on system design and behavioral interviews. Researching the company's interview process and reviewing common interview questions can give you a clearer idea of what to expect.

4. Company Expectations: Aligning with Standards

The expectations of the company you're interviewing with can affect the perceived difficulty of the interview. Some companies have rigorous technical assessments, while others may have more lenient requirements. It's essential to align your preparation with the company's standards and expectations.

For example, top-tier tech companies often have high expectations and may require candidates to solve complex problems under time constraints. In contrast, startups may focus more on practical skills and cultural fit. Understanding the company's priorities can help you focus your preparation on the most relevant areas.

5. Nervousness: Managing Interview Anxiety

Interview nerves can make even simple coding questions seem challenging. The pressure to perform well, coupled with the fear of making mistakes, can hinder your ability to think clearly and solve problems effectively. Managing nervousness is a crucial aspect of performing well in coding interviews.

Practicing mock interviews can help alleviate nervousness and improve your performance. Mock interviews simulate real interview conditions, allowing you to become more comfortable with the interview process and receive constructive feedback. Platforms like Pramp and Interviewing.io offer free mock interview services, pairing you with experienced interviewers for practice sessions.

6. Specific Questions: Varying Complexity

The complexity of coding questions can vary widely. Some questions are straightforward and test basic concepts, while others are highly complex and require advanced problem-solving skills. The difficulty of a question can depend on various factors, including its topic, the constraints provided, and the approach required to solve it.

To prepare for a range of question complexities, it's beneficial to practice problems of varying difficulty levels. Start with easy problems to build your confidence, then gradually progress to medium and hard problems to challenge yourself and improve your problem-solving abilities.

7. Real-Time Pressure: Performing Under Constraints

Coding interviews typically have a time constraint, which can add to the pressure. Being able to think clearly and write code efficiently under time pressure is a skill that requires practice. Time management is crucial during coding interviews; allocating appropriate time to understand the problem, devise a solution, implement the code, and test it is essential.

Practicing coding problems under timed conditions can help you develop this skill. Many online platforms allow you to set timers while solving problems, simulating the time constraints of real interviews. Regular practice can help you become more efficient and confident in managing time during interviews.

8. Feedback and Adaptation: Learning from Experience

Some candidates may face initial challenges but learn from feedback and adapt their preparation strategies to improve over time. Constructive feedback from mock interviews or peers can provide valuable insights into areas of improvement and help you refine your problem-solving approach.

Adapting your preparation based on feedback ensures continuous improvement. Focus on areas where you struggle the most, whether it's understanding certain algorithms, optimizing solutions, or communicating your thought process clearly. Over time, consistent practice and adaptation can significantly enhance your performance in coding interviews.

Conclusion: Overcoming the Challenges

Coding interviews can be challenging, but with the right preparation, mindset, and strategies, they become manageable and even rewarding. Remember, the perceived difficulty of coding interviews is not an insurmountable barrier but a hurdle that can be overcome with dedication and practice.

Focus on building a strong foundation in computer science fundamentals, practicing regularly, managing your nerves, and learning from feedback. By doing so, you'll not only improve your chances of success in coding interviews but also gain valuable skills that will benefit you throughout your career.

[alwaysunabashedsalad-blog]

Breadth First Search In Artificial Intelligence

In this article will try to understand what is Breadth First Search In Artificial Intelligence, properties of BFS in AI, Algorithm of BFS, example of BFS & Advantages – Disadvantages of BFS in Artificial Intelligence. Breadth First Search In Artificial Intelligence comes under the Uninformed search technique .In Previous article we have studies about Depth First Search(DFS) which is also types of Uninformed search.

Click here to know more about Breadth First Search In Artificial Intelligence with example

[bsdndprplplld]

13-16 VIII 2021

much work recently gotta code

gonna monitor only my focus now, define the scale such that 1 means "can't concentrate at all" and 5 means "hyperfocus". today was

focus: 2

i am not doing as much math as i'd like to as i have to focus on the python project i'm doing with bf. anyway, we can say that i did cartesian products of topo spaces, i do have some basic understanding of the concepts now. i started compact spaces. i also need to read some stuff on connectedness and put extra time into analyzing examples of what i've been learning about. so that's the next thing on my schedule, after i'm done with compact and connected spaces

but hey i have 1.5 month of the holidays left and i learned most of the theory planned for me on analysis and half of what i'm supposed to learn on topo. doing good

other than that i decided to write down the structure of how i study:

i find it to be a good way for studying math, it goes brrr like this:

general idea → details, connections and applications

i gained some followers already, i hope you guys enjoy this and possibly find it helpful. moreover, i'm very interested in your custom study algorithms if you have any

[weedhorse69]

Background:

Holy shit bitcoin is really just a worldwide game that got value because enough people agreed to play.

This is my favorite article on the topic so far and the one that explains it most clearly. But yeah, it works because of artifical scarcity and people willing to spend money on processors to guess/”solve” the right hexadecimal value to mine coin.  Which means that Ethan got incredibly lucky that he decided to play this game back in 2012 (while I was busy being suicidal what am i DOING). 

Several coins like this exist, and it looks like dogecoin is the second most popular cryptocurrency. 

Environmental impact: 

Ooooh why are the top articles funded by powerful financing groups that have a lot to gain from bitcoin staying in circulation. Ladies, ladies please.  

“Studies indicate that the annual carbon emissions from the electricity generated to extract and process Bitcoin are equivalent to the amount emitted by New Zealand or Argentina.

The publication indicated that there are still disagreements about how big the carbon footprint of cryptocurrencies is, "but nobody disputes that it is big." Also, because of the way the industry works, the more popular Bitcoin becomes, the higher its carbon footprint”

source

So a solution is that bitcoin can still exist with a switch to sustainable energy practices.  The issue is that most folks are still using electricity off of our current grid which produces carbon emissions. the foundation is bad, not bitcoin mining.  The issue is that our current carbon emitting foundation is also the most consistent source of energy (talking America rn. I know Europe and Canada are ~different~ and we’re all jealous lads).  

“One additional potential risk from the growth of bitcoin mining (and other proof-of-work systems as well) is the increasing energy usage required by the computer systems running the mining algorithms. While microchip efficiency has increased dramatically for ASIC chips, the growth of the network itself is outpacing technological progress. As a result, there are concerns about the environmental impact and carbon footprint of Bitcoin mining. There are, however, efforts to mitigate this negative externality by seeking cleaner and green energy sources for mining operations (such as geo-thermal or solar), as well as utilizing carbon offset credits. Switching to less energy-intensive consensus mechanisms like proof-of-stake (PoS), which Ethereum is planning to do, is another strategy; however, PoS comes with its own set of drawbacks and inefficiencies.”

source

“For example, Jack Dorsey, CEO of Twitter, promised to invest $ 10 million in developing cleaner technologies for the production of the cryptocurrency. In turn, Aker Solutions, an international engineering company based in Oslo (Norway), will build Bitcoin mining facilities that use renewable energy.”

source

Another common concern is that it is a waste of electricity.  Meh.  You can argue that TV is a waste of electricity.   

Ways to Benefit: 

"I've done the math. Forget mining. Is there a less onerous way to profit from cryptocurrencies?"

As mentioned above, the easiest way to acquire bitcoin is to simply buy it on one of the many exchanges. Alternately, you can always leverage the "pickaxe strategy." This is based on the old saw that during the 1849 California gold rush, the smart investment was not to pan for gold, but rather to make the pickaxes used for mining. Or, to put it in modern terms, invest in the companies that manufacture those pickaxes. In a cryptocurrency context, the pickaxe equivalent would be a company that manufactures equipment used for Bitcoin mining. You may consider looking into companies that make ASICs equipment or GPUs instead, for example.

^^^

In conclusion: 

Bitcoin is only bad for the environment because of the framework it sits on.  A switch to renewable sources could remedy the very very real environmental impact that bitcoin has.  The trick would be convincing mining pools that investing in solar, wind, geothermal, etc is a good idea. Or providing an incentive to switch to renewable sources.  

This means that 

a) calls need to be made to your government official to make a penalty for mining pools giving off a certain carbon emission. might be hard to regulate tho since mining pools are spread throughout the country and bitcoin ensures a good amount of privacy in transactions.  

b) Pressure the mining pools themselves to reduce the carbon footprint or suffer further public backlash (looking at Malaysia incident). This seems to be the current popular path.  

c) Market renewable energy as more efficient than the current system. 

No, no girlie, think about who you are appealing to.  These are likely businessmen or redditors.  Both are likely to forget that people are an asset or are likely to undervalue humans.  They wont do anything until the environment affects them.  Their values align with being the strongest and most affluent there is.  

...I would have to think about this.  These folks tend to be high risk, high reward (like my bf) And rn the high risk high reward thing is to keep mining and keep playing with climate change cuz they usually think renewable isnt as good or easy cuz its not right there yet.  This is a marketing problem, isnt it.  Omg Im cringing as I say it but I deadass think that time would be better spent lobbying Elon Musk about this.