Posted on : June 13, 2025 By Tech World Times Development and Testing  Rate this post Sorting helps organize data in a specific order. It is used in search, reports, and efficient storage. Different sorting algorithms offer different performance. In this article, we will explain the Time Complexity of Sorting Algorithms in simple words. We will cover Python, Java, and C++ examples. 1. What Is Time Complexity? Time complexity tells how fast an algorithm runs. It measures the number of steps as input grows. It is written in Big-O notation. For example, O(n²) means steps grow with the square of inputs. 2. Types of Time Complexity Here are common types: O(1): Constant time O(n): Linear time O(n log n): Log-linear time O(n²): Quadratic time We will now apply these to sorting. 3. Bubble Sort Bubble Sort compares two numbers and swaps them if needed. It repeats until the list is sorted. Time Complexity: Best Case: O(n) (if already sorted) Average Case: O(n²) Worst Case: O(n²) Python Example: pythonCopyEditdef bubble_sort(arr): n = len(arr) for i in range(n): for j in range(n - i - 1): if arr[j] > arr[j+1]: arr[j], arr[j+1] = arr[j+1], arr[j] Java Example: javaCopyEditvoid bubbleSort(int arr[]) { int n = arr.length; for (int i = 0; i < n-1; i++) for (int j = 0; j < n-i-1; j++) if (arr[j] > arr[j+1]) { int temp = arr[j]; arr[j] = arr[j+1]; arr[j+1] = temp; } } C++ Example: cppCopyEditvoid bubbleSort(int arr[], int n) { for (int i = 0; i < n-1; i++) for (int j = 0; j < n-i-1; j++) if (arr[j] > arr[j+1]) swap(arr[j], arr[j+1]); } 4. Selection Sort This sort picks the smallest number and places it at the front. Time Complexity: Best Case: O(n²) Average Case: O(n²) Worst Case: O(n²) Python Example: pythonCopyEditdef selection_sort(arr): for i in range(len(arr)): min_idx = i for j in range(i+1, len(arr)): if arr[j] < arr[min_idx]: min_idx = j arr[i], arr[min_idx] = arr[min_idx], arr[i] 5. Insertion Sort This algorithm builds the final list one item at a time. Time Complexity: Best Case: O(n) Average Case: O(n²) Worst Case: O(n²) Java Example: javaCopyEditvoid insertionSort(int arr[]) { for (int i = 1; i < arr.length; i++) { int key = arr[i]; int j = i - 1; while (j >= 0 && arr[j] > key) { arr[j + 1] = arr[j]; j = j - 1; } arr[j + 1] = key; } } 6. Merge Sort Merge Sort splits the array into halves and merges them back in order. Time Complexity of Sorting Algorithms like Merge Sort is usually better. Best Case: O(n log n) Average Case: O(n log n) Worst Case: O(n log n) Python Example: pythonCopyEditdef merge_sort(arr): if len(arr) > 1: mid = len(arr) // 2 left = arr[:mid] right = arr[mid:] merge_sort(left) merge_sort(right) i = j = k = 0 while i < len(left) and j < len(right): if left[i] < right[j]: arr[k] = left[i] i += 1 else: arr[k] = right[j] j += 1 k += 1 arr[k:] = left[i:] + right[j:] 7. Quick Sort Quick Sort picks a pivot and places smaller numbers before it. Time Complexity: Best Case: O(n log n) Average Case: O(n log n) Worst Case: O(n²) C++ Example: cppCopyEditint partition(int arr[], int low, int high) { int pivot = arr[high]; int i = low - 1; for (int j = low; j < high; j++) { if (arr[j] < pivot) { i++; swap(arr[i], arr[j]); } } swap(arr[i+1], arr[high]); return i + 1; } void quickSort(int arr[], int low, int high) { if (low < high) { int pi = partition(arr, low, high); quickSort(arr, low, pi - 1); quickSort(arr, pi + 1, high); } } 8. Built-in Sort Methods Languages have built-in sort functions. These are well-optimized. Python: sorted() or list.sort() uses TimSort Time Complexity: O(n log n) Java: Arrays.sort() uses Dual-Pivot QuickSort Time Complexity: O(n log n) C++: std::sort() uses IntroSort Time Complexity: O(n log n) These are better for most real-world tasks. 9. Time Complexity Comparison Table AlgorithmBestAverageWorstStableBubble SortO(n)O(n²)O(n²)YesSelection SortO(n²)O(n²)O(n²)NoInsertion SortO(n)O(n²)O(n²)YesMerge SortO(n log n)O(n log n)O(n log n)YesQuick SortO(n log n)O(n log n)O(n²)NoTimSort (Python)O(n)O(n log n)O(n log n)YesIntroSort (C++)O(n log n)O(n log n)O(n log n)No 10. How to Choose the Right Algorithm? Use Merge Sort for large stable data. Use Quick Sort for faster average speed. Use Insertion Sort for small or nearly sorted lists. Use built-in sort functions unless you need control. Conclusion The Time Complexity of Sorting Algorithms helps us pick the right tool. Bubble, Selection, and Insertion Sort are simple but slow. Merge and Quick Sort are faster and used often. Built-in functions are highly optimized. Python, Java, and C++ each have their strengths. Understand your problem and input size. Then pick the sorting method. This ensures better speed and performance in your code. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

Casa Sofia | © Fernando Guerra / FG+SG Located in the historic heart of Lagos, Portugal, Casa Sofia by Mário Martins Atelier is a thoughtful exercise in urban integration and contemporary reinterpretation. Occupying a site once held by a modest two-story house, the project is situated on the corner of a block facing the Church of St Sebastião. With its commanding presence, this national monument set a formidable challenge for the architects: introducing a new residence that respects the weight of history while offering a clear, contemporary expression. Casa Sofia Technical Information Architects1-4: Mário Martins Atelier Location: Lagos, Portugal Project Completion Years: 2023 Photographs: © Fernando Guerra / FG+SG It is therefore important to design a building to fit into and complete the block. A house that is quiet and solid, with rhythmic metrics, whose new design brings an identity, with the weight and scent of the times, to a city that has existed for many centuries. – Mário Martins Atelier Casa Sofia Photographs © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG © Fernando Guerra / FG+SG Spatial Organization and Circulation The design’s ambition is anchored in reconciling modern residential needs with the dense urban fabric that defines the walled city. Rather than imposing a bold or disruptive form, the project embraces the existing rhythms and textures of the surrounding architecture. The result is a building that both defers to and elevates the neighborhood’s character. Its restrained profile and carefully modulated facade echo the massing and articulation of the original house while introducing an identity that is clearly of its time. At the core of Casa Sofia’s spatial organization is a deliberate hierarchy of spaces that transitions seamlessly between public, semi-public, and private domains. Entry from the street occurs through a modest set of steps leading to an exterior atrium. This threshold mediates the relationship between the public realm and the interior, grounding the house in its urban context. Once inside, an open hall reveals the vertical flow of the building, dominated by a staircase that appears to float, linking the house’s various levels while maintaining visual continuity throughout. The ground floor houses three bedrooms, each with an ensuite bathroom, radiating from the central hall. This level also contains a small basement for technical support, reinforcing the discreet layering of functional and domestic spaces. Midway up the staircase, the house opens onto a garage, a laundry room, and an intimate courtyard. These areas, essential for daily life, are seamlessly integrated into the overall composition, contributing to a spatial richness that is both pragmatic and sensorial. On the first floor, an open-plan arrangement accommodates the main living spaces. Around a central void, the living and dining areas, kitchen, and master suite are arranged to encourage visual interplay and shared light. This configuration enhances the spatial porosity, ensuring that despite the density of the historic center, the house retains a sense of openness and fluidity. Above, a recessed roof level recedes from the street, culminating in a panoramic terrace with a swimming pool. Here, the building dissolves into the sky, offering expansive views and light-filled leisure spaces that contrast with the more enclosed lower floors. Materiality and Craftsmanship Materiality plays a decisive role in mediating the building’s relationship with its context. White-painted plaster, a familiar element in the region, is punctuated by deep limestone moldings. These details create a play of light and shadow that emphasizes the facade’s verticality and rhythm. The generous thickness of the walls, carried over from the site’s earlier construction, lends a sense of solidity and permanence to the house, recalling the tactile traditions of the Algarve’s architecture. The interior and exterior detailing is characterized by an economy of means, where each material is selected for its ability to reinforce the house’s quiet presence. Local materials and craftsmanship ground the project in its immediate context while responding to environmental imperatives. High thermal comfort is achieved through careful orientation and passive design strategies, complemented by the integration of solar control and water conservation measures. These considerations underscore the project’s commitment to sustainability without resorting to superficial gestures. Broader Urban and Cultural Implications Beyond its immediate function as a family home, Casa Sofia engages in a broader dialogue with its urban and cultural surroundings. The project exemplifies a measured response to the question of how to build within a historical setting without resorting to nostalgia or pastiche. It demonstrates that contemporary architecture can find resonance within heritage contexts by prioritizing the values of continuity, scale, and material authenticity. In its measured dialogue with the Church of St Sebastião and the centuries-old urban landscape of Lagos, Casa Sofia illustrates the potential for architecture to enrich the experience of place through quiet, rigorous interventions. It is a project that reaffirms architecture’s capacity to negotiate between past and present, crafting spaces that are at once deeply contextual and unambiguously of their moment. Casa Sofia Plans Sketch | © Mário Martins Atelier Ground Level | © Mário Martins Atelier Level 1 | © Mário Martins Atelier Level 2 | © Mário Martins Atelier Roof Plan | © Mário Martins Atelier Section | © Mário Martins Atelier Casa Sofia Image Gallery About Mário Martins Atelier Mário Martins Atelier is a Portuguese architecture and urbanism practice founded in 2000 by architect Mário Martins, who holds a degree from the Faculty of Architecture at the Technical University of Lisbon (1988). Headquartered in Lagos with a secondary office in Lisbon, the firm operates with a dedicated multidisciplinary team. The office has developed a broad spectrum of work, from single-family homes and collective housing to public buildings and urban regeneration, distinguished by technical precision, contextual sensitivity, and sustainable strategies. Credits and Additional Notes Lead Architect: Mário Martins, arq. Project Team: Rita Rocha, Sónia Fialho, Susana Caetano, Susana Jóia, Ana Graça Engineering: Nuno Grave Engenharia Building: Marques Antunes Engenharia Lda

Posted on : June 13, 2025 By Tech World Times Uncategorized  Rate this post Sorting is important in programming. It helps organize data. Sorting improves performance in searching, analysis, and reporting. There are many sorting algorithms. One of the simplest is Insertion Sort. In this article, we will learn how to implement Insertion Sort in Java. We will explain each step in simple words. You will see examples and understand how it works. What Is Insertion Sort? Insertion Sort is a simple sorting algorithm. It works like how you sort playing cards. You take one card at a time and place it in the right position. It compares the current element with those before it. If needed, it shifts elements to the right. Then, it inserts the current element at the correct place. How Insertion Sort Works Let’s understand with a small list: Example List: [8, 3, 5, 1] Steps: First element (8) is already sorted. Compare 3 with 8. Move 8 right. Insert 3 before it → [3, 8, 5, 1] Compare 5 with 8. Move 8 right. Insert 5 after 3 → [3, 5, 8, 1] Compare 1 with 8, 5, 3. Move them right. Insert 1 at start → [1, 3, 5, 8] Now the list is sorted! Why Use Insertion Sort? Insertion Sort is simple and easy to code. It works well for: Small datasets Nearly sorted lists Educational purposes and practice However, it is not good for large datasets. It has a time complexity of O(n²). Time Complexity of Insertion Sort Best Case (already sorted): O(n) Average Case: O(n²) Worst Case (reversed list): O(n²) It performs fewer steps in nearly sorted data. How to Implement Insertion Sort in Java Now let’s write the code for Insertion Sort in Java. We will explain each part. Step 1: Define a Class javaCopyEditpublic class InsertionSortExample { // Code goes here } We create a class named InsertionSortExample. Step 2: Create the Sorting Method javaCopyEditpublic static void insertionSort(int[] arr) { int n = arr.length; for (int i = 1; i < n; i++) { int key = arr[i]; int j = i - 1; while (j >= 0 && arr[j] > key) { arr[j + 1] = arr[j]; j = j - 1; } arr[j + 1] = key; } } Let’s break it down: arr[i] is the current value (called key). j starts from the previous index. While arr[j] > key, shift arr[j] to the right. Insert the key at the correct position. This logic sorts the array step by step. Step 3: Create the Main Method Now we test the code. javaCopyEditpublic static void main(String[] args) { int[] numbers = {9, 5, 1, 4, 3}; System.out.println("Before sorting:"); printArray(numbers); insertionSort(numbers); System.out.println("After sorting:"); printArray(numbers); } This method: Creates an array of numbers Prints the array before sorting Calls the sort method Prints the array after sorting Step 4: Print the Array Let’s add a helper method to print the array. javaCopyEditpublic static void printArray(int[] arr) { for (int number : arr) { System.out.print(number + " "); } System.out.println(); } Now you can see how the array changes before and after sorting. Full Code Example javaCopyEditpublic class InsertionSortExample { public static void insertionSort(int[] arr) { int n = arr.length; for (int i = 1; i < n; i++) { int key = arr[i]; int j = i - 1; while (j >= 0 && arr[j] > key) { arr[j + 1] = arr[j]; j = j - 1; } arr[j + 1] = key; } } public static void printArray(int[] arr) { for (int number : arr) { System.out.print(number + " "); } System.out.println(); } public static void main(String[] args) { int[] numbers = {9, 5, 1, 4, 3}; System.out.println("Before sorting:"); printArray(numbers); insertionSort(numbers); System.out.println("After sorting:"); printArray(numbers); } } Sample Output yamlCopyEditBefore sorting: 9 5 1 4 3 After sorting: 1 3 4 5 9 This confirms that the sorting works correctly. Advantages of Insertion Sort in Java Easy to implement Works well with small inputs Stable sort (keeps equal items in order) Good for educational use When Not to Use Insertion Sort Avoid Insertion Sort when: The dataset is large Performance is critical Better algorithms like Merge Sort or Quick Sort are available Real-World Uses Sorting small records in a database Teaching algorithm basics Handling partially sorted arrays Even though it is not the fastest, it is useful in many simple tasks. Final Tips Practice with different inputs Add print statements to see how it works Try sorting strings or objects Use Java’s built-in sort methods for large arrays Conclusion Insertion Sort in Java is a great way to learn sorting. It is simple and easy to understand. In this guide, we showed how to implement it step-by-step. We covered the logic, code, and output. We also explained when to use it. Now you can try it yourself. Understanding sorting helps in coding interviews and software development. Keep practicing and exploring other sorting methods too. The more you practice, the better you understand algorithms. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

Development and Testing  Rate this post Sorting is a basic task in programming. It arranges data in order. There are many sorting algorithms. Selection Sort is one of the simplest sorting methods. It is easy to understand and code. But it is not the fastest. In this guide, we will explain the Selection Sort Time Complexity. We will cover best, worst, and average cases. What Is Selection Sort? Selection Sort works by selecting the smallest element from the list. It places it in the correct position. It repeats this process for all elements. One by one, it moves the smallest values to the front. Let’s see an example: Input: [5, 3, 8, 2]Step 1: Smallest is 2 → swap with 5 → [2, 3, 8, 5]Step 2: Smallest in remaining is 3 → already correctStep 3: Smallest in remaining is 5 → swap with 8 → [2, 3, 5, 8] Now the list is sorted.How Selection Sort Works Selection Sort uses two loops. The outer loop moves one index at a time. The inner loop finds the smallest element. After each pass, the smallest value is moved to the front. The position is fixed. Selection Sort does not care if the list is sorted or not. It always does the same steps. Selection Sort Algorithm Here is the basic algorithm: Start from the first element Find the smallest in the rest of the list Swap it with the current element Repeat for each element This repeats until all elements are sorted. Selection Sort Code (Java Example) javaCopyEditpublic class SelectionSort { public static void sort(int[] arr) { int n = arr.length; for (int i = 0; i < n - 1; i++) { int min = i; for (int j = i + 1; j < n; j++) { if (arr[j] < arr[min]) { min = j; } } int temp = arr[min]; arr[min] = arr[i]; arr[i] = temp; } } } This code uses two loops. The outer loop runs n-1 times. The inner loop finds the minimum. Selection Sort Time Complexity Now let’s understand the main topic. Let’s analyze Selection Sort Time Complexity in three cases. 1. Best Case Even if the array is already sorted, Selection Sort checks all elements. It keeps comparing and swapping. Time Complexity: O(n²) Reason: Inner loop runs fully, regardless of the order Example Input: [1, 2, 3, 4, 5] Even here, every comparison still happens. Only fewer swaps occur, but comparisons remain the same. 2. Worst Case This happens when the array is in reverse order. But Selection Sort does not optimize for this. Time Complexity: O(n²) Reason: Still needs full comparisons Example Input: [5, 4, 3, 2, 1] Even in reverse, the steps are the same. It compares and finds the smallest element every time. 3. Average Case This is when elements are randomly placed. It is the most common scenario in real-world problems. Time Complexity: O(n²) Reason: Still compares each element in the inner loop Example Input: [3, 1, 4, 2, 5] Selection Sort does not change behavior based on input order. So the complexity remains the same. Why Is It Always O(n²)? Selection Sort compares all pairs of elements. The number of comparisons does not change. Total comparisons = n × (n – 1) / 2 That’s why the time complexity is always O(n²).It does not reduce steps in any case. It does not take advantage of sorted elements. Space Complexity Selection Sort does not need extra space. It sorts in place. Space Complexity: O(1) Only a few variables are used No extra arrays or memory needed This is one good point of the Selection Sort. Comparison with Other Algorithms Let’s compare Selection Sort with other basic sorts: AlgorithmBest CaseAverage CaseWorst CaseSpaceSelection SortO(n²)O(n²)O(n²)O(1)Bubble SortO(n)O(n²)O(n²)O(1)Insertion SortO(n)O(n²)O(n²)O(1)Merge SortO(n log n)O(n log n)O(n log n)O(n)Quick SortO(n log n)O(n log n)O(n²)O(log n) As you see, Selection Sort is slower than Merge Sort and Quick Sort. Advantages of Selection Sort Very simple and easy to understand Works well with small datasets Needs very little memory Good for learning purposes Disadvantages of Selection Sort Slow on large datasets Always takes the same time, even if sorted Not efficient for real-world use When to Use Selection Sort Use Selection Sort when: You are working with a very small dataset You want to teach or learn sorting logic You want stable, low-memory sorting Avoid it for: Large datasets Performance-sensitive programs Conclusion Selection Sort Time Complexity is simple to understand. But it is not efficient for big problems. It always takes O(n²) time, no matter the case. That is the same for best, worst, and average inputs. Still, it is useful in some cases. It’s great for learning sorting basics. It uses very little memory. If you’re working with small arrays, Selection Sort is fine. For large data, use better algorithms. Understanding its time complexity helps you choose the right algorithm. Always pick the tool that fits your task. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

By TREVOR HOGG Images courtesy of Pixar. The character design of Glordon is based on a tardigrade, which is a microscopic water bear. Rather than look at the unknown as something to be feared, Pixar has decided to do some wish fulfillment with Elio, where a lonely adolescent astrophile gets abducted by aliens and is mistaken as the leader of Earth. Originally conceived and directed by Adrian Molina, the coming-of-age science fiction adventure was shepherded by Domee Shi and Madeline Sharafian, who had previously worked together on Turning Red. “Space is often seen as dark, mysterious and scary, but there is also so much hope, wonder and curiosity,” notes Shi, director of Elio. “It’s like anything is ‘out there.’ Elio captures how a lot of us feel at different points of our lives, when we were kids like him, or even now wanting to be off of this current planet because it’s just too much. For Elio, it’s a rescue. I feel that there’s something so universal about that feeling of wanting to be taken away and taken care of. To know that you’re not alone and somebody chose you and picked you up.” The character design of Glordon is based on a tardigrade, which is a microscopic water bear. There is a stark contrast between how Earth and the alien world, known as the Communiverse, are portrayed. “The more we worked with the animators on Glordon and Helix, they began to realize that Domee and I respond positively when those [alien] characters are exaggerated, made cute, round and chubby,” states Sharafian, director of Elio. “That automatically started to differentiate the way the Earth and space feel.” A certain question had to be answered when designing the United Nations-inspired Communiverse. “It was coming from a place of this lonely kid who feels like no one wants him on Earth,” Shi explains. “What would be heaven and paradise for him? The Communiverse was built around that idea.” A sense of belonging is an important theme. “It’s also inspired by Adrian Molina’s backstory, and our backstories too, of going to animation college,” Sharafian remarks. “For the first time, we said, ‘This is where everybody like me is!’” Green is the thematic color for Elio. Visual effects are an important storytelling tool. “Especially, for our movie, which is about this boy going to this crazy incredible world of the Communiverse,” Shi observes. “It has to be dazzling and look spectacular on the big screen and feel like paradise. Elio is such a visual feast, and you do feel like, ‘I want to stay here no matter what. I can’t believe that this place even exists.’ Visual effects are a powerful tool to help you feel what the characters are feeling.” A wishlist became a reality for the directors. “Claudia Chung Sanii [Visual Effects Supervisor] gave Domee and me carte blanche for wish fulfillment for ourselves,” Sharafian remarks. “What do you want Elio’s outfit in space to look like? It was a difficult costume, but now when we watch the movie, we’re all so proud of it. Elio looks fabulous, and he’s so happy to be wearing that outfit. Who would want to take that off?” The Communiverse was meant to feel like a place that a child would love to visit and explore. Methodology rather than technology went through the biggest change for the production. “The Communiverse is super complex and has lots of moving pieces. But there’s not much CG can’t do anymore,” notes Claudia Chung Sanii. “Elemental did effects characters. We did long curly hair, dresses, capes, water and fire. What we hadn’t done before was be a part of that design process. How do we get lighting into layout? How do we see the shaders in animation in layout? The tools department was working on a software called Luna which does that. I went to the tools department and asked, ‘Can I play around with it?’ They were like, ‘Okay. But it’s not ready yet.’ Tools will basically be bringing RenderMan and an interactive lighting workflow to the pipeline across all of these DCCs. Because we light in Katana, you can’t get back upstream. The conceit that we were dipping our toe in on Elio was, ‘Whatever you do in lighting, anyone on the pipeline can see it.’” The influence of microscopic forms and macro photography grounded the Communiverse in natural phenomena. The variety in the Communiverse is a contrast to the regimented world on the military base. There were no departmental borders, in particular with cinematography. “We had our layout and lighting DPs start on the same day. Derek Williams wouldn’t shoot anything without Jordan Rempel, our lighting DP, seeing it,” Sanii states. “Jordan would drop in lighting and start doing key lighting as Derek’s team was laying out. It wasn’t like you had to hit the render button, wait for the render to come up and go, ‘Oh, my god, it’s dark! I didn’t know that it was nighttime.’” A new term was adopted. “Meredith Hom [Production Manager] and I pulled the entire crew and leadership into this mental concept that we called the ‘college project.’ For some of us, college was a time when we didn’t have titles and crafts. You begged, borrowed and stole to hit that deadline. So much of our world has become linear in our process that I wanted to break that down to, ‘No. We’re all working together. The scope of this film is too large for us to wait for each other to finish our piece. If this person is slammed, fine. Figure out a different idea to do it with what tools you have.’” Directors Domee Shi and Madeline Sharafian are drawn to chubby, exaggerated and cute characters. Forgoing the word ‘no’ led to the technology breaking down. “I remember times when crowds [department] is dressing all of the aliens and because of forgetting to constrain it to the Communiverse, they all show up at the origin, and you’re going, ‘Why is there a whole party going on over there?’” Sanii laughs. “On Elio, it was always forward. There were no rules about locking things down or not installing over the weekend. It was always like, ‘Put it all in, and we’ll deal with it on Monday.’ There would be some funny stuff. We never QC’d something before walking it into the room. Everyone saw how the sausage was made. It was fun and not fun for Harley Jessup [Production Designer] because sometimes there would be a big thing in the middle screen, and he would say, ‘Is that finished?’ There was no way we could get through this film if we kept trying to fix the thing that broke.” An aerial image of Elio as he attempts to get abducted by aliens. Part of the design of the Coummuniverse was inspired by Chinese puzzle balls. A former visual effects art director at ILM, Harley Jessup found his previous experiences on projects like Innerspace to be helpful on Elio. “I liked that the directors wanted to build on the effects films from the 1980s and early 1990s,” reflects Jessup. “I was there and part of that. It was fun to look back. At the time, the techniques were all practical, matte paintings and miniatures, which are fun to work with, but without the safety net of CG. One thing Dennis Muren [VES] was keen on, was how people see things like the natural phenomenon you might see in a microscopic or macro photography form. We were using that. I was looking at the mothership of Close Encounters of the Third Kind, which Dennis shot when he was a young artist. It was nice to be able to bring all of that history to this film.” Earth was impacted by a comment made by Pete Docter (CCO, Pixar). “He said, ‘The military base should feel like a parking lot,” Jessup reveals. “You should know why Elio wants to be anywhere else. And the Communiverse needs to be inviting. We built a lot of contrast into those two worlds. The brutalist architecture on the military base, with its hard edges and heavy horizontal forms close to the earth, needed to be harsh but beautiful in its own way, so we tried for that. The Communiverse would be in contrast and be all curves, translucent surfaces and stained-glass backlit effects. Things were wide open about what it could be because each of the aliens are from a different climate and gravity. There are some buildings that are actually upside down on it, and the whole thing is rotating inside like clockwork. It is hopefully an appealing, fun world. It’s not a dystopian outer space.” Exploring various facial expressions for Elio. A tough character to get right was Aunt Olga, who struggles to be the guardian of her nephew. Character designs of Elio and Glordon. which shows them interacting with each other. Architecture was devised to reflect the desired tone for scenes. “In the Grand Assembly Hall where each alien has a desk and booth, the booth is shaped like an eyelid that can close or open,” Jessup explains. “It increases the feeling that they’re evaluating and observing Elio and each of the candidates that have come to join the Communiverse.” A couple of iconic cinematic franchises were avoided for aesthetic reasons. “As much as I love Star Wars and Star Trek, we wanted to be different from those kinds of aliens that are often more humanoid.” Ooooo was the first alien to be designed. “We did Ooooo in collaboration with the effects team, which was small at that time. She was described as a liquid supercomputer. We actually used the wireframe that was turning up and asked, what if it ended up being this network of little lights that are moving around and can express how much she was thinking? Ooooo is Elio’s guide to the Communiverse; her body would deform, so she could become a big screen or reach out and pluck things. Ooooo has an ability like an amoeba to stretch.” Flexibility is important when figuring out shot design. “On Elio, we provided the layout department with a rudimentary version of our environments,” states David Luoh, Sets Supervisor. “It might be simple geometry. We’re not worried necessarily about shading, color and material yet. Things are roughly in place but also built in a way that is flexible. As they’re sorting out the camera and testing out staging, they can move elements of the set around. Maybe this architectural piece needs to be shifted or larger or smaller. There was a variation on what was typically expected of set deliveries of environments to our layout department. That bar was lowered to give the layout department something to work with sooner and also with more flexibility. From their work we get context as to how we partner with our art and design department to build and finalize those environments.” Regional biomes known as disks are part of the Communiverse. “There are aquatic, lush forest, snow and ice, and hot lava disks,” Luoh remarks. “The hot disk is grounded in the desert, volcanic rock and lava, while for the lush disk we looked at interesting plant life found in the world around us.” The Communiverse is a complex geometric form. “We wanted these natural arrangements of alien districts, and that was all happening on this twisting and curving terrain in a way that made traditional dressing approaches clunky. Oftentimes, you’re putting something on the ground or mounted, and the ground is always facing upward. But if you have to dress the wall or ceiling, it becomes a lot more difficult to manipulate and place on something with that dynamic and shape. You have stuff that casts light, is see-through and shifting over time. Ooooo is a living character that looks like electronic circuitry that is constantly moving, and we also have that element in the walls, floors and bubble transport that carry the characters around.” Sets were adjusted throughout the production. “We try to anticipate situations that might come up,” Luoh states. “What if we have a series of shots where you’re getting closer and closer to the Communiverse and you have to bridge the distance between your hero and set extension background? There is a partnership with story, but certainly with our layout camera staging department. As we see shots come out of their work, we know where we need to spend the time to figure out, are we going to see the distant hills in this way? We’re not going to build it until we know because it can be labor-intensive. There is a responsiveness to what we are starting to see as shots get made.” Combining the familiar into something unfamiliar was a process. “There was this curation of being inspired by existing alien sci-fi depictions, but also reaching back into biological phenomena or interesting material because we wanted to ground a lot of those visual elements and ideas in something that people could intuitively grasp on to, even if they were combined or arranged in a way that is surprising, strange and delightful.”

When Russian troops invaded Ukraine on 24 February 2022, Russia’s datacentre sector was one of the fastest-growing segments of the country’s IT industry, with annual growth rates in the region of 10-12%. However, with the conflict resulting in the imposition of Western sanctions against Russia and an outflow of US-based tech companies from the country, including Apple and Microsoft, optimism about the sector’s potential for further growth soon disappeared. In early March 2025, it was reported that Google had disconnected from traffic exchange points and datacentres in Russia, leading to concerns about how this could negatively affect the speed of access to some Google services for Russian users. Initially, there was hope that domestic technology and datacentre providers might be able to plug the gaps left by the exodus of the US tech giants, but it seems they could not keep up with the hosting demands of Russia’s increasingly digital economy. Oleg Kim, director of the hardware systems department at Russian IT company Axoft, says the departure of foreign cloud providers and equipment manufacturers has led to a serious shortage of compute capacity in Russia. This is because the situation resulted in a sharp, initial increase in demand for domestic datacentres, but Russian providers simply did not have time to expand their capacities on the required scale, continues Kim. According to the estimates of Key Point, one of Russia’s largest datacentre networks, meeting Russia’s demand for datacentres will require facilities with a total capacity of 30,000 racks to be built each year over the next five years. On top of this, it has also become more costly to build datacentres in Russia. Estimates suggest that prior to 2022, the cost of a datacentre rack totalled 100,000 rubles ($1,200), but now exceeds 150,000 rubles. And analysts at Forbes Russia expect these figures will continue to grow, due to rising logistics costs and the impact the war is having on the availability of skilled labour in the construction sector. The impact of these challenges is being keenly felt by users, with several of the country’s large banks experiencing serious problems when finding suitable locations for their datacentres. Sberbank is among the firms affected, with its chairperson, German Gref, speaking out previously about how the bank is in need of a datacentre with at least 200MW of capacity, but would ideally need 300-400MW to address its compute requirements. Stanislav Bliznyuk, chairperson of T-Bank, says trying to build even two 50MW datacentres to meet its needs is proving problematic. “Finding locations where such capacity and adequate tariffs are available is a difficult task,” he said. Read more about datacentre developments North Lincolnshire Council has received a planning permission application for another large-scale datacentre development, in support of its bid to become an AI Growth Zone A proposal to build one of the biggest datacentres in Europe has been submitted to Hertsmere Borough Council, and already has the support of the technology secretary and local councillors. The UK government has unveiled its 50-point AI action plan, which commits to building sovereign artificial intelligence capabilities and accelerating AI datacentre developments – but questions remain about the viability of the plans. Despite this, T-Bank is establishing its own network of data processing centres – the first of which should open in early 2027, he confirmed in November 2024. Kirill Solyev, head of the engineering infrastructure department of the Softline Group of Companies, who specialise in IT, says many large Russian companies are resorting to building their own datacentres – because compute capacity is in such short supply. The situation is, however, complicated by the lack of suitable locations for datacentres in the largest cities of Russia – Moscow and St Petersburg. “For example, to build a datacentre with a capacity of 60MW, finding a suitable site can take up to three years,” says Solyev. “In Moscow, according to preliminary estimates, there are about 50MW of free capacity left, which is equivalent to 2-4 large commercial datacentres. “The capacity deficit only in the southern part of the Moscow region is predicted at 564MW by 2030, and up to 3.15GW by 2042.” As a result, datacentre operators and investors are now looking for suitable locations outside of Moscow and St Petersburg, and seeking to co-locate new datacentres in close proximity to renewable energy sources. And this will be important as demand for datacentre capacity in Russia is expected to increase, as it is in most of the rest of the world, due to the growing use of artificial intelligence (AI) tools and services. The energy-intensive nature of AI workloads will put further pressure on operators that are already struggling to meet the compute capacity demands of their customers. Speaking at the recent Ural Forum on cyber security in finance, Alexander Kraynov, director of AI technology development at Yandex, says solving the energy consumption issue of AI datacentres will not be easy. “The world is running out of electricity, including for AI, while the same situation is observed in Russia,” he said. “In order to ensure a stable energy supply of a newly built large datacentre, we will need up to one year.” According to a recent report of the Russian Vedomosti business paper, as of April 2024, Russian datacentres have used about 2.6GW, which is equivalent to about 1% of the installed capacity of the Unified Energy System of Russia. Accommodating AI workloads will also mean operators will need to purchase additional equipment, including expensive accelerators based on graphic processing units and higher-performing data storage systems. The implementation of these plans and the viability of these purchases is likely to be seriously complicated by the current sanctions regime against Russia. That said, Russia’s prime minister, Mikhail Mishustin, claims this part of the datacentre supply equation is being partially solved by an uptick in the domestic production of datacentre kit. According to the Mishustin, more than half of the server equipment and industrial storage and information processing systems needed for datacentres are already being produced in Russia – and these figures will continue to grow. The government also plans to provide additional financial support to the industry, as – to date – building datacentres in Russia has been prevented by relatively long payback periods, of up to 10 years in some cases, of such projects. One of the possible support measures on offer could include the subsidisation of at least part of the interest rates on loans to datacentre developers and operators. At the same time, though, the government’s actions in other areas have made it harder for operators to build new facilities. For example, in March 2025, the Russian government significantly tightened the existing norms for the establishment of new datacentres in the form of new rules for the design of data processing centres, which came into force after the approval by the Russian Ministry of Construction. According to Nikita Tsaplin, CEO of Russian hosting provider RUVDS, the rules led to additional bureaucracy in the sector (due to the positioning of datacentres as typical construction objects). And, according to his predictions, that situation can extend the construction cycle of a datacentre from around five years to seven years. The government’s intervention here was to prevent the installation of servers in residential areas, such as garages, but it looks set to complicate an already complex situation – prompting questions about whether Russia’s datacentre market will ever reach its full potential.

Mario Kart World comes at you fast (Nintendo) After a dozen hours with the biggest game on Nintendo Switch 2, GameCentral tries to evaluate the surprisingly controversial new Mario Kart game. It’s very obvious why Mario Kart World is the main launch title for the Nintendo Switch 2: it’s been over a decade since the last one and Mario Kart 8 is one of the best-selling video games of all-time. Much of that success is due to the innate simplicity of the concept and the easy accessibility of its controls, so it’s surprising that Mario Kart World has been so difficult for people to get their heads around. We’ve played it three times now, for increasingly long lengths of time, the previous time being at a press event with a host of other journos. But now that we have a Nintendo Switch 2 of our own, we’ve been able to spend even longer exploring the game at our leisure and we’ve come to the conclusion that Nintendo’s marketing for the game is doing it a disservice. It emphasises the fact that the game has a massive open world but as soon as you start playing, it becomes obvious that the designers must consider that to be a relatively minor part of the game. Or at least the idea that you can roam around at will, looking for secrets. You can do that, but despite what we and many others assumed it’s very much a side activity. This is made obvious by the fact that the option to free roam is not part of the main menu for the game, instead there’s an easily missed prompt to press the ‘+’ button and explore the open world at will. This is a lot of fun, because the open world is phenomenally well designed – full of secret pathways and tempting scenery to jump off and grind on – but what’s putting people off is there’s very little structured gameplay for it. There are a variety of objects to look out for – such as P-switches, ? panels, and special medallions – but all they do is unlock small stickers you can customise your vehicle with. The P-switches activate missions, which are the most complex activity, but most of the time they involve simply collecting blue coins or competing in a mini-race. There are a few more unusual examples but most barely last 60 seconds, when you beat them, and that’s as complicated as the open world gameplay ever gets. It is enjoyable, and we’ve spent many happy hours already searching for secrets, but there’s no question that the open world feels underutilised – an afterthought almost. Expert, exclusive gaming analysis Sign up to the GameCentral newsletter for a unique take on the week in gaming, alongside the latest reviews and more. Delivered to your inbox every Saturday morning. Although other AI racers can occasionally be seen driving around you can’t interact with them, there’s no story or dialogue, and no complex mission scenarios. What’s more, you can’t meet random online players in the open world and even if you invite friends all you can do is take photos with them. You can choose to start one of the other modes from within the open world but we’re very surprised that you can’t set up your own point-to-point races (which would surely have been perfect for the mouse controls of the new Joy-Cons). Instead, all you can do is create a custom Grand Prix by choosing which track to go to once each one ends. We point all this out because these details weren’t clear beforehand and because it’s almost certainly going to be the main complaint against the game. But while it is certainly a missed opportunity, it doesn’t negatively affect the actual focus of the game. It seems that the ability to free roam is intended as essentially a bonus. The real changes to the game are in terms of the nature of the tracks, which rather than being a succession of completely unconnected circuits all flow from one to another. Often they’re not circuits at all, but linear races from one point to another, as you work your way across the world map. Since they’re all in the same corner of the world, a Grand Prix often has a consistent theme, such as snowy or desert levels, and specific elements, like dinosaurs or boos, can appear at the beginning and end of adjoining tracks, reinforcing the impression that it’s all one giant race (these sections are removed for Time Trials). The graphics are very impressive (Nintendo) That concept seems to have come first and the open world followed, even though technically it’s not needed – or at least not to the level of detail that Nintendo has gone with. But either way, the courses in Mario Kart World are excellent, with wildly different designs even for returning tracks. The new ones are especially good though, with Boo Cinema, where you travel through the screen and into the film itself, being our current favourite. Although the ones with Wave Race 64 style water physics are also all uniformly excellent. The action may seem similar in video clips but it’s really quite different to Mario Kart 8. And not just because of the wider roads, new enemies, and the fact that there’s now 24 racers on every track. There’s now far more shortcuts and alternate routes, which seems like it should end up making races feel disjointed and unbalanced but it doesn’t, thanks to the levelling effect of items and the fact that sooner or later everyone is still being funnelled down the same path. The abundance of point-to-point races is a significant change to the Mario Kart norm and not only does it spice up Grand Prix mode but it allows for the superb Knockout Tour. This is a far more significant addition than free roam, even though it’s a simple sudden death mode, where you have to reach a certain position by the end of a track or you’re out of the game. In Grand Prix you can try and make up for a bad performance in the next race but with Knockout the tension is sky high throughout, and it works brilliantly, especially online. When we started playing the game, on Wednesday afternoon, there were only a handful online, but over the course of Thursday morning the matches became full and everything came alive. Playing against 23 other humans also helps to emphasise the fact that while Mario Kart World does make certain things easier – like automatically holding items behind you as a shield or allowing for a little more leeway when escaping shells – this is absolutely still a game of skill. Playing online, we could see the same names consistently doing well and ourselves… enjoying the mid-table mediocrity that we usually do, when faced with talented opposition. Not that that ever put us off. On the contrary, we spent almost every match grinning inanely at the sheer Mario Kart-ness of it all. We will still need to play more to do a full review though – we haven’t played a lot on 150cc yet and we only got an hour or two with the online. However, at this point we do feel we’ve seen the basics of what the game is. More Trending It’s a strange one to be sure, in what is usually one of Nintendo’s most straightforward franchises, but while anyone can look at the open world and think of a dozen other things that could’ve been done with it, the actual racing is top notch. Mechanically it’s not significantly different from Mario Kart 8 but then the series is not a very malleable one, and this does as much as it can to mix things up – and all without resorting to gimmicks. In terms of a score, we’re not looking at a 10/10. Mario Kart World is many things but it’s not perfect, not like Mario Kart 8 Deluxe. We’ll have to spend more time with it to determine if it suits an 8 or 9/10 but longevity has never been a problem for the series, so we imagine it’ll be the higher of the two. Given how late Nintendo was in sending out consoles that’s all we can say for now but while this is not quite the game many will have been expecting, and it does leave a lot on the table (possibly to be picked up by DLC, but naturally Nintendo isn’t saying), it’s still an excellent game and a great introduction to the Switch 2. Formats: Nintendo Switch 2Price: £74.99 (physical) or £66.99 (digital)Publisher: NintendoDeveloper: Nintendo EPDRelease Date: 5th June 2025Age Rating: 3 There’s unlockable costumes for all the named characters (Nintendo) Email gamecentral@metro.co.uk, leave a comment below, follow us on Twitter. To submit Inbox letters and Reader’s Features more easily, without the need to send an email, just use our Submit Stuff page here. For more stories like this, check our Gaming page. GameCentral Sign up for exclusive analysis, latest releases, and bonus community content. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. 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Replicube A game by Walaber Entertainment LLCDev snapshot: Godot 4.5 dev 5By: Thaddeus Crews2 June 2025Pre-releaseBrrr… Do you feel that? That’s the cold front of the feature freeze just around the corner. It’s not upon us just yet, but this is likely to be our final development snapshot of the 4.5 release cycle. As we enter the home stretch of new features, bugs are naturally going to follow suit, meaning bug reports and feedback will be especially important for a smooth beta timeframe.Jump to the Downloads section, and give it a spin right now, or continue reading to learn more about improvements in this release. You can also try the Web editor or the Android editor for this release. If you are interested in the latter, please request to join our testing group to get access to pre-release builds.The cover illustration is from Replicube, a programming puzzle game where you write code to recreate voxelized objects. It is developed by Walaber Entertainment LLC (Bluesky, Twitter). You can get the game on Steam.HighlightsIn case you missed them, see the 4.5 dev 1, 4.5 dev 2, 4.5 dev 3, and 4.5 dev 4 release notes for an overview of some key features which were already in those snapshots, and are therefore still available for testing in dev 5.Native visionOS supportNormally, our featured highlights in these development blogs come from long-time contributors. This makes sense of course, as it’s generally those users that have the familiarity necessary for major changes or additions that are commonly used for these highlights. That’s why it might surprise you to hear that visionOS support comes to us from Ricardo Sanchez-Saez, whose pull request GH-105628 is his very first contribution to the engine! It might not surprise you to hear that Ricardo is part of the visionOS engineering team at Apple, which certainly helps get his foot in the door, but that still makes visionOS the first officially-supported platform integration in about a decade.For those unfamiliar, visionOS is Apple’s XR environment. We’re no strangers to XR as a concept (see our recent XR blogpost highlighting the latest Godot XR Game Jam), but XR platforms are as distinct from one another as traditional platforms. visionOS users have expressed a strong interest in integrating with our ever-growing XR community, and now we can make that happen. See you all in the next XR Game Jam!GDScript: Abstract classesWhile the Godot Engine utilizes abstract classes—a class that cannot be directly instantiated—frequently, this was only ever supported internally. Thanks to the efforts of Aaron Franke, this paradigm is now available to GDScript users (GH-67777). Now if a user wants to introduce their own abstract class, they merely need to declare it via the new abstract keyword:abstract class_name MyAbstract extends Node The purpose of an abstract class is to create a baseline for other classes to derive from:class_name ExtendsMyAbstract extends MyAbstract Shader bakerFrom the technical gurus behind implementing ubershaders, Darío Samo and Pedro J. Estébanez bring us another miracle of rendering via GH-102552: shader baker exporting. This is an optional feature that can be enabled at export time to speed up shader compilation massively. This feature works with ubershaders automatically without any work from the user. Using shader baking is strongly recommended when targeting Apple devices or D3D12 since it makes the biggest difference there (over 20× decrease in load times in the TPS demo)!Before:After:However, it comes with tradeoffs:Export time will be much longer.Build size will be much larger since the baked shaders can take up a lot of space.We have removed several MoltenVK bug workarounds from the Forward+ shader, therefore we no longer guarantee support for the Forward+ renderer on Intel Macs. If you are targeting Intel Macs, you should use the Mobile or Compatibility renderers.Baking for Vulkan can be done from any device, but baking for D3D12 needs to be done from a Windows device and baking for Apple .metallib requires a Metal compiler (macOS with Xcode / Command Line Tools installed).Web: WebAssembly SIMD supportAs you might recall, Godot 4.0 initially released under the assumption that multi-threaded web support would become the standard, and only supported that format for web builds. This assumption unfortunately proved to be wishful thinking, and was reverted in 4.3 by allowing for single-threaded builds once more. However, this doesn’t mean that these single-threaded environments are inherently incapable of parallel processing; it just requires alternative implementations. One such implementation, SIMD, is a perfect candidate thanks to its support across all major browsers. To that end, web-wiz Adam Scott has taken to integrating this implementation for our web builds by default (GH-106319).Inline color pickersWhile it’s always been possible to see what kind of variable is assigned to an exported color in the inspector, some users have expressed a keen interest in allowing for this functionality within the script editor itself. This is because it would mean seeing what kind of color is represented by a variable without it needing to be exposed, as well as making it more intuitive at a glance as to what color a name or code corresponds to. Koliur Rahman has blessed us with this quality-of-life goodness, which adds an inline color picker GH-105724. Now no matter where the color is declared, users will be able to immediately and intuitively know what is actually represented in a non-intrusive manner.Rendering goodiesThe renderer got a fair amount of love this snapshot; not from any one PR, but rather a multitude of community members bringing some long-awaited features to light. Raymond DiDonato helped SMAA 1x make its transition from addon to fully-fledged engine feature (GH-102330). Capry brings bent normal maps to further enhance specular occlusion and indirect lighting (GH-89988). Our very own Clay John converted our Compatibility backend to use a fragment shader copy instead of a blit copy, working around common sample rate issues on mobile devices (GH-106267). More technical information on these rendering changes can be found in their associated PRs.SMAA comparison:OffOnBent normal map comparison:BeforeAfterAnd more!There are too many exciting changes to list them all here, but here’s a curated selection:Animation: Add alphabetical sorting to Animation Player (GH-103584).Animation: Add animation filtering to animation editor (GH-103130).Audio: Implement seek operation for Theora video files, improve multi-channel audio resampling (GH-102360).Core: Add --scene command line argument (GH-105302).Core: Overhaul resource duplication (GH-100673).Core: Use Grisu2 algorithm in String::num_scientific to fix serializing (GH-98750).Editor: Add “Quick Load” button to EditorResourcePicker (GH-104490).Editor: Add PROPERTY_HINT_INPUT_NAME for use with @export_custom to allow using input actions (GH-96611).Editor: Add named EditorScripts to the command palette (GH-99318).GUI: Add file sort to FileDialog (GH-105723).I18n: Add translation preview in editor (GH-96921).Import: Add Channel Remap settings to ResourceImporterTexture (GH-99676).Physics: Improve performance with non-monitoring areas when using Jolt Physics (GH-106490).Porting: Android: Add export option for custom theme attributes (GH-106724).Porting: Android: Add support for 16 KB page sizes, update to NDK r28b (GH-106358).Porting: Android: Remove the gradle_build/compress_native_libraries export option (GH-106359).Porting: Web: Use actual PThread pool size for get_default_thread_pool_size() (GH-104458).Porting: Windows/macOS/Linux: Use SSE 4.2 as a baseline when compiling Godot (GH-59595).Rendering: Add new StandardMaterial properties to allow users to control FPS-style objects (hands, weapons, tools close to the camera) (GH-93142).Rendering: FTI - Optimize SceneTree traversal (GH-106244).Changelog109 contributors submitted 252 fixes for this release. See our interactive changelog for the complete list of changes since the previous 4.5-dev4 snapshot.This release is built from commit 64b09905c.DownloadsGodot is downloading...Godot exists thanks to donations from people like you. Help us continue our work:Make a DonationStandard build includes support for GDScript and GDExtension..NET build (marked as mono) includes support for C#, as well as GDScript and GDExtension.While engine maintainers try their best to ensure that each preview snapshot and release candidate is stable, this is by definition a pre-release piece of software. Be sure to make frequent backups, or use a version control system such as Git, to preserve your projects in case of corruption or data loss.Known issuesWindows executables (both the editor and export templates) have been signed with an expired certificate. You may see warnings from Windows Defender’s SmartScreen when running this version, or outright be prevented from running the executables with a double-click (GH-106373). Running Godot from the command line can circumvent this. We will soon have a renewed certificate which will be used for future builds.With every release, we accept that there are going to be various issues, which have already been reported but haven’t been fixed yet. See the GitHub issue tracker for a complete list of known bugs.Bug reportsAs a tester, we encourage you to open bug reports if you experience issues with this release. Please check the existing issues on GitHub first, using the search function with relevant keywords, to ensure that the bug you experience is not already known.In particular, any change that would cause a regression in your projects is very important to report (e.g. if something that worked fine in previous 4.x releases, but no longer works in this snapshot).SupportGodot is a non-profit, open source game engine developed by hundreds of contributors on their free time, as well as a handful of part and full-time developers hired thanks to generous donations from the Godot community. A big thank you to everyone who has contributed their time or their financial support to the project!If you’d like to support the project financially and help us secure our future hires, you can do so using the Godot Development Fund.Donate now