ROBOT |
ロボスタ |
国内最大規模の玩具の展示会「東京おもちゃショー2023」開幕 人気のキャラやおもちゃが勢揃い |
https://robotstart.info/2023/06/08/toyshow2023.html
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firstappearedon |
2023-06-08 10:29:16 |
IT |
ITmedia 総合記事一覧 |
[ITmedia News] 空中に浮かんで見える「オセロ」をプレイ“無料”で提供する理由 |
https://www.itmedia.co.jp/news/articles/2306/08/news185.html
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itmedia |
2023-06-08 19:39:00 |
TECH |
Techable(テッカブル) |
人工筋肉技術を改良し、補助力・歩きやすさを両立!腰の負担を軽減するアシストスーツの新製品 |
https://techable.jp/archives/210682
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exopower |
2023-06-08 10:00:32 |
IT |
情報システムリーダーのためのIT情報専門サイト IT Leaders |
NTT-AT、ヘッダー情報を監視する軽量トラフィック可視化装置「@FlowInspector」を強化、設定を容易に | IT Leaders |
https://it.impress.co.jp/articles/-/24933
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NTTAT、ヘッダー情報を監視する軽量トラフィック可視化装置「FlowInspector」を強化、設定を容易にITLeadersNTTアドバンステクノロジNTTATは年月日、ネットワークトラフィック分析・可視化装置「FlowInspector」アットフローインスペクターの新版「Ver」を発表した。 |
2023-06-08 19:07:00 |
AWS |
AWS Podcast |
#593: AWS Glue Data Quality |
https://aws.amazon.com/podcasts/aws-podcast/#593
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AWS Glue Data QualityHundreds of thousands of customers build data lakes everyday and these data lakes can quickly become data swamps if they dont pay attention to the data quality Setting up data quality can be a time consuming tedious process Shiv Narayanan Product Manager for AWS Glue chats with Name about the launch of AWS Glue Data Quality AWS Glue Data Quality Quality builds confidence in your data by ensuring high data quality It automatically measures monitors and manages data quality in your data lakes and data pipelines so it s easy to identify missing stale or bad data Take the steps to make your data lake crystal clear Whats New AWS Glue Data Quality AWS Glue Data Quality Blog AWS Glue Data Quality |
2023-06-08 10:02:32 |
python |
Pythonタグが付けられた新着投稿 - Qiita |
【Python】JEPXスポット市場価格データの《時刻コード:1~48》を《時刻表記:0:00~23:30》に変換する |
https://qiita.com/FumiyoKato/items/7da8afec6889d1d9805f
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市場価格 |
2023-06-08 19:47:14 |
AWS |
AWSタグが付けられた新着投稿 - Qiita |
aws cliを使用する際にアカウントを使い分けている場合のterraform |
https://qiita.com/amegumo/items/873c43337362fdd0cd62
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defaultregionoutputpro |
2023-06-08 19:46:35 |
Git |
Gitタグが付けられた新着投稿 - Qiita |
[Git] 動作を試す 実行例54:Gitリポジトリを単純にコピーして複製可能 |
https://qiita.com/dl_from_scratch/items/c232b02e9970a477525a
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記事 |
2023-06-08 19:59:39 |
技術ブログ |
Developers.IO |
Amazon SageMaker AutopilotのチュートリアルのJob関連の設定を変更して動かしてみた |
https://dev.classmethod.jp/articles/amazon-sagemaker-autopilot-tutorial-changing-job-conditions/
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amazonsagemakerautopilot |
2023-06-08 10:33:59 |
海外TECH |
MakeUseOf |
4 Reasons Not to Install the macOS Sonoma Beta |
https://www.makeuseof.com/reasons-not-to-install-macos-beta/
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release |
2023-06-08 10:15:18 |
海外TECH |
DEV Community |
C# Async/Await Interview Questions And Answers |
https://dev.to/bytehide/c-asyncawait-interview-questions-and-answers-f7l
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C Async Await Interview Questions And AnswersAre you preparing for an interview that will involve C asynchronous programming You ve come to the right place This comprehensive article covers a wide range of C async await interview questions that will test your understanding of the async await pattern along with solutions and examples to help you sharpen your skills From fundamental concepts to advanced techniques this article covers async and await in C interview questions that you re likely to encounter during your technical interview In C async await what is the main difference between ConfigureAwait false and ConfigureAwait true in terms of synchronization context AnswerConfigureAwait is a method used with await to control how the execution of the async method should continue after the completion of the awaited task It takes a boolean value as its argument allowing developers to specify whether or not to continue on the captured synchronization context or a different context ConfigureAwait false is used when you do not want to resume execution on the captured synchronization context upon completion of the awaited task In many cases this is used to prevent deadlocks and improve performance especially for library or non UI code await someTask ConfigureAwait false ConfigureAwait true is used to maintain the synchronization context if any and resume execution of the awaited task on that context This is the default behavior when ConfigureAwait is not explicitly called It s useful in cases where you want to maintain the captured context such as updating UI components or changing global state shared by multiple threads You rarely need to use ConfigureAwait true explicitly because it s the default behavior but here s an example await someTask ConfigureAwait true Note In UI based applications the captured context will be the UI context e g the main UI thread in WPF or WinForms applications In this case it s essential to maintain the synchronization context when performing UI updates so you d use ConfigureAwait true or not use ConfigureAwait at all How does the Task WhenAll method work when handling multiple async tasks and what potential issues could arise from its usage in C AnswerTask WhenAll is a method provided by the Task class that takes an IEnumerable lt Task gt or a set of Task instances as parameters and returns a new Task that completes once all input tasks have completed Uses It s useful when you need to perform multiple asynchronous operations concurrently and wait for all of them to complete It works by internally creating a new task that handles each child task s completion and signals when all child tasks have finished Potential issues Exception Handling When using Task WhenAll exceptions thrown by individual tasks are wrapped in an AggregateException It s crucial to handle this AggregateException and to unwrap it to understand the actual exceptions that occurred in the tasks Otherwise you may miss critical exceptions or experience unexpected behavior try await Task WhenAll task task task catch AggregateException ae Handle the individual exceptions using Unwrap or InnerExceptions foreach var innerException in ae InnerExceptions Handle each exception as necessary Thread Starvation If you re not careful about how many tasks you re waiting for concurrently your application may experience thread starvation especially in cases where your tasks have a high degree of parallelism Consider using SemaphoreSlim or other concurrency control methods to limit the number of concurrent tasks Resource Exhaustion Running an excessive number of tasks concurrently can lead to memory pressure file handle exhaustion or network limitations Pay attention to system resources when using Task WhenAll and consider limiting concurrency to available resources to avoid potential issues In C async await how can deadlocks occur and what are some effective techniques to avoid them in your application AnswerDeadlocks can occur in async await when you synchronously block on an async method causing the caller and the callee to wait for each other effectively causing a deadlock Imagine the following scenario in a UI based application public async Task DoSomethingAsync await SomeOperationAsync more code here public void ButtonClickHandler object sender RoutedEventArgs e DoSomethingAsync Wait more code The ButtonClickHandler method is waiting for DoSomethingAsync to complete At the same time DoSomethingAsync is waiting for the SomeOperationAsync to complete Because the await statement by default captures the synchronization context UI context in this case the continuation of SomeOperationAsync requires UI context However the UI context is blocked by the call to DoSomethingAsync Wait and consequently the deadlock happens To avoid deadlocks follow these guidelines Do not use blocking calls like Wait or Result on async methods Instead use async and await all the way up public async void ButtonClickHandler object sender RoutedEventArgs e await DoSomethingAsync more code Use ConfigureAwait false whenever possible in your async methods especially in library code or when you don t need to rely on the captured synchronization context This can prevent deadlocks when blocking calls are made to async methods Avoid using a mixture of sync and async code and always follow the async all the way pattern This pattern helps prevent deadlocks improves code readability and maintainability What is the purpose of the IAsyncDisposable interface and how is it typically used with async await in C AnswerThe IAsyncDisposable interface is used to provide an asynchronous mechanism to release unmanaged resources whereas the IDisposable interface is used for synchronous resource cleanup When working with asynchronous operations IAsyncDisposable allows you to perform non blocking cleanup tasks Implementing IAsyncDisposable requires that you provide an async ValueTask DisposeAsync method Typically IAsyncDisposable is used with classes or objects that have async methods and also hold onto unmanaged resources such as file handles network connections or database connections To use a class implementing IAsyncDisposable you can use the await using statement which ensures that resources are released in an asynchronous and non blocking manner public async Task PerformOperationAsync await using var resource new MyAsyncDisposableResource await resource ExecuteAsync more code The DisposeAsync method is called automatically when leaving the scope Remember that while implementing IAsyncDisposable you should also implement the IDisposable interface to allow users to dispose of resources synchronously if needed Explain how the ValueTask structure differs from the Task class in async await and provide a scenario where it might be more appropriate to use AnswerThe ValueTask structure represents an operation that will produce a result in the future similar to the Task class However the main difference is that ValueTask is a value type struct whereas Task is a reference type class This means that ValueTask instances are usually created on the stack and they have lower memory overhead compared to Task ValueTask is mainly designed for use in high performance scenarios or when a method is expected to return synchronously most of the time Using ValueTask instead of Task can help reduce memory allocations and improve performance when asynchronous overhead is not needed for the majority of calls Example scenario public async ValueTask lt int gt PerformOperationAsync if cache TryGetFromCache out int result return result result await ComputeResultAsync cache StoreInCache result return result In this example we use ValueTask lt int gt because we expect that most of the time the value will be returned synchronously from the cache When the value is not available in the cache we only then perform the asynchronous operation ComputeResultAsync Using ValueTask lt int gt will reduce the memory allocations for the method call when the value is returned from the cache It is important to note that ValueTask should not always be the default choice over Task You should only consider using ValueTask in performance critical scenarios and after carefully analyzing the trade offs and potential implications on the API s usage Avoiding the use of async and await with ValueTask when not necessary can lead to non obvious logic bugs and unexpected behavior Now that we ve covered the basics of async await and the differences between ValueTask and Task it s time to dive into more advanced techniques like the concept of async parallelism Employing parallel strategies can further improve the efficiency and performance of your async code Keep reading to explore the benefits and potential drawbacks of this approach How can you implement the concept of “async parallelism in C and what are the potential advantages or drawbacks of using this approach AnswerAsync parallelism refers to the execution of multiple asynchronous operations concurrently usually with the goal of improving performance by completing tasks in less overall time In C you can achieve async parallelism using various techniques including Task WhenAll or the SemaphoreSlim class in combination with multiple async Task instances Here s an example of using Task WhenAll to achieve async parallelism public async Task ProcessMultipleItemsAsync IEnumerable lt Item gt items var tasks items Select item gt ProcessItemAsync item await Task WhenAll tasks Advantages Performance improvement By performing multiple asynchronous operations concurrently your application can complete tasks in a shorter amount of time improving overall performance Better resource utilization Async parallelism allows you to utilize system resources more effectively such as CPU I O and network bandwidth Drawbacks Complexity Implementing async parallelism can be more complex than sequential execution making it harder to reason about debug and maintain Increased resource usage Depending on the workload and the number of concurrent tasks async parallelism may lead to increased resource usage which can cause resource exhaustion thread starvation or other performance problems if not managed carefully Exception handling Handling exceptions can be more challenging with async parallelism as multiple tasks can throw exceptions at the same time How does the TaskCompletionSource class help in integrating non async code with async await in C and what are some potential pitfalls to watch out for when using this technique AnswerThe TaskCompletionSource lt TResult gt class allows you to wrap non async code that utilizes callbacks or other non awaitable patterns into a Task lt TResult gt that can be awaited TaskCompletionSource provides a Task property that represents the ongoing operation and a set of methods to set the result exception or cancellation of the operation typically used within callbacks or event handlers Here s an example of using TaskCompletionSource to wrap a non async timer public async Task WaitForTimeoutAsync TimeSpan timeout var tcs new TaskCompletionSource lt bool gt var timer new System Timers Timer timeout TotalMilliseconds AutoReset false timer Elapsed sender args gt tcs SetResult true timer Dispose timer Start await tcs Task Potential pitfalls Synchronization context Make sure to avoid capturing the synchronization context in the callbacks when using TaskCompletionSource use ConfigureAwait false when possible Otherwise you may introduce deadlocks or other issues related to synchronization context dependencies Exception handling When using TaskCompletionSource ensure that you handle exceptions appropriately either by passing them to the SetException method or handling them within your callback methods Resource leaks Be careful to clean up any resources used by your non async code e g event handlers timers network connections when using TaskCompletionSource to convert it to async await code to prevent leaks or unwanted side effects When is it appropriate to apply the SemaphoreSlim class in async await scenarios and how can it be properly used to control concurrency in C applications AnswerSemaphoreSlim is a lightweight async compatible semaphore that can be used to limit concurrent access to a shared resource or control the degree of parallelism executed in async await scenarios The SemaphoreSlim class is appropriate when you have a limited number of resources or need to control the number of concurrent async operations to prevent exhaustion high memory usage or other performance issues Here s an example of using SemaphoreSlim to limit the number of concurrent database reads private static readonly SemaphoreSlim Semaphore new SemaphoreSlim Limit concurrency to operationspublic async Task lt IEnumerable lt Data gt gt ReadFromDatabaseAsync int id await Semaphore WaitAsync try Execute the database read operation var data await ExecuteDatabaseQueryAsync id return data finally Semaphore Release When controlling concurrency with SemaphoreSlim remember to Properly release resources by correctly using WaitAsync and Release methods Be aware of potential deadlocks or synchronization issues when setting the maximum concurrency level Combine SemaphoreSlim with other mechanisms like throttling batching or retry policies to ensure a more robust concurrency solution How does exception handling work for asynchronous methods in C and what are some common practices to ensure proper error handling in async await scenarios AnswerException handling in async await scenarios is similar to that in synchronous scenarios with the primary difference being the use of async Task instead of synchronous methods Exceptions in asynchronous methods are caught and rethrown in the same way as synchronous methods using try catch Master Try Catch in C The Definitive Guide blocks The main difference is that exceptions occurring in async methods are propagated when the resulting task is awaited Here are some common practices for handling exceptions in async await scenarios Use try catch blocks in async methods Protect critical sections of your async code with try catch blocks just as you would with synchronous code public async Task DoWorkAsync try await SomeOperationAsync catch SomeException ex Handle the exception Catch exceptions on await When awaiting a task you can catch exceptions right on the await statement public async Task PerformOperationAsync try await DoWorkAsync catch SomeException ex Handle the exception Handle multiple exceptions When using Task WhenAll to handle multiple tasks concurrently use a try catch block to handle AggregateExceptions thrown by any of the tasks Unwrap the AggregateException to handle each individual exception as necessary public async Task PerformMultipleOperationsAsync var tasks new Task OperationAsync OperationAsync OperationAsync try await Task WhenAll tasks catch AggregateException ae foreach var innerException in ae InnerExceptions Handle each exception as necessary Use ConfigureAwait false with try catch When using try catch blocks inside library code or non UI scenarios use ConfigureAwait false when awaiting tasks to prevent capturing the synchronization context and causing potential deadlocks public async Task DoWorkAsync try await SomeOperationAsync ConfigureAwait false catch SomeException ex Handle the exception Utilize exception filters C introduced exception filters using the when keyword in catch clauses This can be helpful to add conditional logic to your exception handling based on the state of the exception or other factors public async Task DoWorkAsync try await SomeOperationAsync catch SomeException ex when ex ErrorCode Handle the specific case where the error code is In C async await what is the purpose of the Task Yield method and in which situations is it recommended to use this approach AnswerThe Task Yield method returns an awaitable YieldAwaitable structure which when awaited causes the async method to suspend its execution and immediately yield control back to the calling method This allows other tasks or work items to execute while the async method awaits the YieldAwaitable Task Yield is particularly useful in situations where you need to ensure that a long running or iterative async operation does not monopolize the current thread or synchronization context which would block other operations or degrade the performance of your application Common use cases for Task Yield include UI responsiveness In UI scenarios long running computations or iterations can cause the UI to freeze By inserting an await Task Yield statement in your code you allow the UI to remain responsive by periodically yielding control back to the UI thread public async Task PerformLongRunningOperationAsync for int i i lt i Perform a partial computation DoPartialComputation Yield control back to the calling context e g the UI thread await Task Yield Fair scheduling In situations where multiple operations are awaiting a shared resource or competing for system resources using Task Yield can help to ensure a more fair scheduling of the work items and prevent resource monopolization public async Task PerformLongRunningOperationAsync for int i i lt i Perform a partial computation that requires shared resources DoPartialComputationWithSharedResource Yield control back to the calling context to allow other tasks to access shared resources await Task Yield Keep in mind that the use of Task Yield can introduce additional overhead and may not always be necessary It s essential to carefully analyze the specific use case and circumstances to determine if Task Yield would improve your application s performance and responsiveness or cause unnecessary delays Having explored various async await patterns and techniques in C it s essential to understand how to apply async await to other aspects of the language such as LINQ queries Asynchronous programming can significantly impact the execution of queries so let s discuss the precautions you need to take when using async await with LINQ How does async await impact the execution of LINQ queries in C and what precautions should be taken to prevent potential issues related to deferred execution AnswerWhen using LINQ with async await it s important to note that most standard LINQ operators such as Where Select GroupBy etc do not have built in support for asynchronous operations LINQ queries with standard operators are executed synchronously which can cause blocking issues when executed in async methods especially when processing large datasets To handle asynchronous processing with LINQ consider the following precautions and best practices Load data asynchronously Before executing your LINQ queries use async await to asynchronously load or fetch the data you ll operate on This will help prevent blocking on I O bound operations public async Task PerformLinqQueryAsync Fetch data asynchronously var data await FetchDataAsync Perform LINQ query synchronously var results data Where x gt x Value gt Process query results asynchronously where necessary Use asynchronous LINQ libraries Consider using libraries like System Interactive Async also known as Interactive Extensions or Ix Async or Entity Framework Core which provide asynchronous versions of LINQ operators These libraries allow you to chain async LINQ operations and perform end to end asynchronous processing for your queries using System Linq Async public async Task PerformLinqQueryAsync IAsyncEnumerable lt Data gt data FetchDataAsyncEnumerable Perform asynchronous LINQ query var results await data Where x gt x Value gt ToListAsync Be mindful of deferred execution When working with LINQ and async await be aware of the principle of deferred execution LINQ queries don t execute until the results are enumerated which often happens asynchronously To avoid potential issues materialize the query results explicitly and asynchronously using methods like ToListAsync or ToArrayAsync in the async LINQ libraries before performing additional async operations on the results public async Task PerformLinqQueryAsync IAsyncEnumerable lt Data gt data FetchDataAsyncEnumerable Perform asynchronous LINQ query and materialize the results explicitly var results await data Where x gt x Value gt ToListAsync Process query results asynchronously where necessary How can you achieve bi directional async communication between a server and client in C using async await and what are some important considerations for implementing this communication pattern AnswerBi directional async communication refers to a communication pattern where both the server and the client can send and receive messages asynchronously To achieve this in C you can use various techniques including WebSocket SignalR gRPC or custom protocols built on top of TCP or UDP Here s an example of using WebSocket and async await for bi directional communication Server side public async Task HandleClientAsync WebSocket socket var buffer new byte while socket State WebSocketState Open var receivedResult await socket ReceiveAsync new ArraySegment lt byte gt buffer CancellationToken None Process the received message Send a response to the client asynchronously await socket SendAsync new ArraySegment lt byte gt buffer receivedResult Count WebSocketMessageType Text receivedResult EndOfMessage CancellationToken None await socket CloseAsync WebSocketCloseStatus NormalClosure Communication completed CancellationToken None Client side public async Task CommunicateWithServerAsync using var client new ClientWebSocket await client ConnectAsync new Uri ws mywebsocketservice CancellationToken None Send a message to the server asynchronously byte message Encoding UTF GetBytes Hello server await client SendAsync new ArraySegment lt byte gt message WebSocketMessageType Text true CancellationToken None Receive a message from the server asynchronously var buffer new byte var receivedResult await client ReceiveAsync new ArraySegment lt byte gt buffer CancellationToken None Process the received message Important considerations Concurrency As both client and server can send messages at any time be prepared to handle concurrent message processing or decide on a messaging protocol to handle the concurrency Message framing Depending on the protocol you choose for communication you may need to handle message framing which includes message boundaries content encoding and other metadata Error handling Implement error handling for various scenarios such as connection drops message processing errors and protocol violations Security When implementing bi directional async communication consider adding security measures like authentication authorization encryption and message integrity validation What is the concept of “async streams in C and how can you utilize the IAsyncEnumerable lt T gt interface to perform efficient asynchronous processing of large data streams AnswerAsync streams are a C feature introduced in C which allows you to asynchronously iterate over data streams Instead of loading the entire data set into memory async streams enable processing items one at a time asynchronously by combining the power of async await with the traditional IEnumerable pattern The IAsyncEnumerable lt T gt interface is the core element of async streams and it represents an asynchronous collection that can be enumerated one item at a time To consume and produce async streams the await foreach statement and async iterator methods using yield return are used respectively For example let s create a method that produces an IAsyncEnumerable of items public async IAsyncEnumerable lt int gt FetchItemsAsync for int i i lt i Simulating async operation to retrieve data await Task Delay yield return i To consume the items produced by this method you can use the await foreach statement to asynchronously iterate over the items public async Task ConsumeItemsAsync await foreach var item in FetchItemsAsync Console WriteLine item Using IAsyncEnumerable lt T gt and async streams offers the following benefits Efficient data processing Async streams enable processing large or potentially unbounded data streams with reduced memory usage as items are loaded and processed one at a time asynchronously Simplified asynchronous iteration Using async await with the familiar iterator pattern brings more readable and maintainable asynchronous iteration code compared to manual implementations using tasks and callbacks How does the Task Run method relate to the async await pattern in C and what are the primary factors to consider when using it for offloading work to the ThreadPool AnswerThe Task Run method is a static method provided by the Task class It s used to offload work to be executed on the ThreadPool which can help achieve better responsiveness or parallelism by leveraging background threads The primary use case for Task Run is to offload CPU bound operations from the main thread or a UI thread With async await Task Run enables you to run these CPU bound operations in the background and asynchronously await their completion Here s an example of using Task Run public async Task lt long gt PerformCpuBoundWorkAsync return await Task Run gt Perform a long running CPU bound operation long result ComputeResult return result When using Task Run keep in mind the following factors Only offload CPU bound or blocking operations Use Task Run for CPU bound operations or when an API runs synchronously and consumes a significant amount of time Avoid using Task Run for I O bound operations as the async await pattern is more suitable for handling I O with non blocking concurrency Consider UI responsiveness When working with UI applications be cautious about offloading work to the ThreadPool as excessive use of Task Run can cause ThreadPool starvation and impact UI responsiveness In such cases consider using other mechanisms like task scheduler dedicated worker threads or parallel processing techniques Properly handle exceptions When using Task Run exceptions thrown within the delegate are propagated when you await the task Be sure to handle exceptions appropriately and avoid unobserved exceptions Avoid nested Task Run calls Don t use Task Run within another Task Run delegate This can lead to ThreadPool starvation and reduced performance Consider using more advanced patterns like Task WhenAll SemaphoreSlim or parallelism features like Parallel ForEach to create more structured parallelism In C async await how can you prevent the primary thread from blocking while waiting for the result of an asynchronous operation without resorting to busy waiting or spinning AnswerThe key to preventing the primary thread e g UI thread from blocking is to fully embrace the async await pattern when working with asynchronous operations Avoid using synchronous blocking mechanisms like Wait or Result when waiting for async operations as they can cause deadlocks and block the primary thread To ensure non blocking behavior and prevent the primary thread from waiting follow these practices Use async methods and await their results Always prefer async methods and use the await keyword when calling them This will allow the calling method to return control back to the caller letting the primary thread continue processing other tasks and remaining responsive public async Task PerformOperationAsync Correct await the async method await GetResultAsync Incorrect blocks the primary thread and can cause deadlocks GetResultAsync Wait Async all the way up Apply the async await pattern consistently throughout your call stack This typically means changing your event handlers delegates or callbacks to use async methods and the await keyword public async void ButtonClickHandler object sender RoutedEventArgs e await PerformOperationAsync Offload CPU bound work using Task Run If you need to perform long running CPU bound operations use Task Run to offload the work to the ThreadPool to prevent blocking the primary thread public async Task lt long gt ProcessDataAsync return await Task Run gt Perform long running CPU bound operation var result ComputeResult return result Following these practices will ensure that the primary thread doesn t get blocked while waiting for asynchronous operations to complete maintaining responsiveness and high performance in your application At this point you have a solid grasp of the essential async await patterns and practices in C The next step is to deep dive into advanced topics such as task scheduling and customizing execution using the TaskScheduler class These advanced techniques can further enhance your async programming skills and help you tackle complex asynchronous scenarios in C What is the role of the TaskScheduler class in async await and why is it important to consider how tasks are scheduled when implementing advanced async scenarios in C AnswerThe TaskScheduler class is a core component of the Task Parallel Library TPL in C It is responsible for controlling how tasks are scheduled and executed by the underlying ThreadPool By default tasks executed by Task Run Task Factory StartNew and other async methods use the default TaskScheduler which schedules tasks on the ThreadPool When implementing advanced async scenarios you may need to consider customizing the TaskScheduler to meet specific requirements or improve performance Custom task schedulers allow you to control how and when tasks are executed potentially enabling better resource management prioritization or integration with other frameworks application domains or synchronization contexts For example you may create a custom TaskScheduler that schedules tasks on a specific thread or using a specific synchronization context like the UI thread in a Windows Forms application public class UiThreadTaskScheduler TaskScheduler private readonly SynchronizationContext synchronizationContext public UiThreadTaskScheduler SynchronizationContext synchronizationContext synchronizationContext synchronizationContext protected override void QueueTask Task task synchronizationContext Post gt TryExecuteTask task null protected override bool TryExecuteTaskInline Task task bool taskWasPreviouslyQueued if SynchronizationContext Current synchronizationContext return false return TryExecuteTask task protected override IEnumerable lt Task gt GetScheduledTasks return Enumerable Empty lt Task gt When customizing the TaskScheduler consider these factors Compatibility Ensure that your custom scheduler is compatible with the specific async await scenarios and APIs used in your application Performance Test and optimize the performance of your custom scheduler as it may have a significant impact on the overall performance of your async operations Error handling Implement proper exception handling in your custom scheduler making sure to propagate exceptions and handle them gracefully where necessary Integration If your custom scheduler needs to work with specific synchronization contexts or other frameworks it s essential to implement seamless integration and avoid potential deadlocks performance issues or synchronization problems How can you implement custom cancellation logic for async processes in C using the CancellationTokenSource and CancellationToken classes AnswerThe CancellationTokenSource and CancellationToken classes enable you to implement custom cancellation logic for async operations in C A CancellationTokenSource can be used to generate CancellationTokens which can then be passed to your async methods allowing them to respond to cancellation requests Here s an example of implementing custom cancellation logic using a CancellationTokenSource Step Create a CancellationTokenSource and obtain a CancellationToken var cancellationTokenSource new CancellationTokenSource CancellationToken cancellationToken cancellationTokenSource Token Step Pass the CancellationToken to the async method public async Task PerformOperationAsync CancellationToken cancellationToken for int i i lt i cancellationToken ThrowIfCancellationRequested Perform some work await Task Delay cancellationToken Step Call the async method pass the CancellationToken and handle the cancellation exception public async Task InvokeOperationAsync try await PerformOperationAsync cancellationToken catch OperationCanceledException Handle cancellation Step Trigger cancellation by calling the Cancel method on the CancellationTokenSource cancellationTokenSource Cancel Request cancellationWhen implementing custom cancellation logic consider these factors Pass CancellationToken Always pass CancellationToken parameters down the call chain to enable cancellation in all async methods involved Check cancellation frequently Use cancellationToken ThrowIfCancellationRequested frequently in your async method to check if a cancellation has been requested and respond promptly Handle OperationCanceledException Be sure to handle the OperationCanceledException that may be thrown when cancellation is requested Dispose CancellationTokenSource Properly dispose of the CancellationTokenSource when it s no longer needed to prevent resource leaks In C async await what are some common performance concerns and optimization techniques to ensure that async code is running efficiently in a production environment AnswerWhen designing and optimizing async code for performance it s critical to address several common performance concerns and apply specific techniques Minimize allocations and overhead Avoid creating unnecessary tasks especially when using async methods in loops or constructing lots of short lived tasks This may cause a significant overhead increased memory usage and increased GC pressure Consider using the ValueTask structure or caching tasks if possible Optimize synchronization contexts By default async methods capture the synchronization context when they start and this can lead to performance issues in certain scenarios Always use ConfigureAwait false when you don t need the synchronization context for further operations e g when writing library code or non UI code Optimal use of Task Run Be careful when using Task Run to offload work as excessive use can cause ThreadPool congestion and degrade overall performance Use Task Run primarily for CPU bound work and use the appropriate degree of parallelism to avoid resource contention Ensure proper exception handling Unhandled exceptions in async code can lead to unexpected application failures or unobserved task exceptions Make sure to catch and handle exceptions properly in your async methods and use appropriate error handling patterns such as using Task WhenAll with AggregateException handling Control concurrency When running multiple async operations concurrently carefully control the degree of concurrency using mechanisms like SemaphoreSlim batching or throttling to avoid resource exhaustion thread starvation or performance degradation Avoid deadlocks Deadlocks can be a significant performance concern in async code especially when mixing async await with synchronous code or incorrect usage of blocking mechanisms Always use async await consistently and avoid using Wait or Result on async methods to prevent deadlocks Measure and profile performance Use performance profiling and diagnostics tools like Visual Studio Diagnostics or PerfView to monitor and optimize the performance of your async code Ensure that your code meets your performance expectations and be proactive in resolving potential bottlenecks or issues How does async local state work in C and what should developers be aware of when using this feature with async await to maintain state across asynchronous invocations AnswerAsync local state is a way to maintain state across async method invocations within the same logical execution context similar to how ThreadLocal lt T gt maintains state across thread executions The AsyncLocal lt T gt class is used to manage async local state in C allowing you to store data that is specific to a given asynchronous control flow Here s an example of using AsyncLocal lt T gt to store values across async method invocations private static readonly AsyncLocal lt int gt asyncLocalCount new AsyncLocal lt int gt public async Task UpdateAsyncLocalStateAsync asyncLocalCount Value await PerformOperationAsync public async Task PerformOperationAsync int currentValue asyncLocalCount Value currentValue will be Perform some operation using the currentValue When using async local state with async await developers should be aware of the following considerations Understand the execution context Async local state is tied to the logical execution context rather than the thread itself When async code crosses the boundaries of its context due to scheduling or thread switching the state is preserved and can still be accessed Scoping Be cautious when scoping async local state as it can be accessed by any async method in the same logical control flow potentially leading to unintentional side effects or data leaks Performance Keep in mind that accessing async local state adds some overhead to the execution of async operations Ensure that your usage of async local state is optimized for performance and avoid using it when it s not necessary Error handling Be aware that exceptions thrown in async methods can impact the async local state if the state is not properly synchronized or reset Make sure to handle exceptions and clean up or restore the state as needed What are some strategies for efficiently combining multiple async operations into a single composition unit in a C application using async await AnswerWhen building complex applications it s often necessary to combine multiple async operations to provide a unified cohesive unit of work Several strategies are available to help you efficiently combine async operations in your C application Task WhenAll Use Task WhenAll to concurrently execute multiple async operations and await their results in an aggregated manner This strategy is suitable when you need to execute multiple independent tasks concurrently and use their results together public async Task ProcessMultipleTasksAsync Task lt int gt taskResult PerformOperationAsync Task lt string gt taskResult PerformOperationAsync await Task WhenAll taskResult taskResult Process the results int result taskResult Result string result taskResult Result Task WhenAny Use Task WhenAny to efficiently process tasks as they complete when you have multiple operations running concurrently and you want to process results as they arrive or wait for the first operation to complete public async Task ProcessTasksAsTheyCompleteAsync List lt Task lt string gt gt tasks GetListOfTasks while tasks Count gt Task lt string gt completedTask await Task WhenAny tasks tasks Remove completedTask string result await completedTask Process the result Task ContinueWith Use Task ContinueWith to attach a continuation to a task that executes when the task is completed This allows you to chain operations while still having a single combined composition unit However prefer using async await whenever possible as it provides a more readable and maintainable code structure public Task PerformCombinedOperationsAsync return PerformOperationAsync ContinueWith task gt int result task Result Process result Execute a follow up operation based on result return PerformOperationAsync result Unwrap Nested async methods When combining multiple async operations you can also create nested async methods that perform partial compositions making it easier to manage the complexity and maintainability of your application logic public async Task PerformCombinedOperationsAsync int result await PerformNestedOperationPartAsync string result await PerformNestedOperationPartAsync result Process the combined results By using these strategies you can efficiently combine multiple async operations into a single composition unit improving code organization readability and maintainability in your C application In summary mastering async await concepts in C is crucial for building efficient and maintainable applications This article covered essential aspects such as TaskScheduler custom cancellation logic performance async local state and combining async operations Continuously exploring these topics will greatly contribute to your professional growth and success in C development |
2023-06-08 10:18:27 |
海外TECH |
DEV Community |
10 Free Image Tools Every Frontend Developer Needs |
https://dev.to/joywinter90/10-free-image-tools-every-frontend-developer-needs-1j20
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Free Image Tools Every Frontend Developer Needs Introduction As a frontend developer working with images is an integral part of creating visually appealing and engaging web projects However optimizing and manipulating images can sometimes be a daunting task Thankfully there are numerous free image tools available that can streamline your workflow enhance your designs and optimize images for optimal web performance In this article we will explore ten essential free image tools that every frontend developer should have in their toolkit TinyImage TinyImage is the best image compression tool developed by the Attrock Image optimization is crucial for web performance and TinyImage is an excellent tool for reducing file sizes without compromising quality It specializes in compressing PNG and JPEG images providing significant savings in bandwidth and faster load times for your web pages Canva Canva is a versatile graphic design tool that provides a wide range of templates elements and editing features With Canva you can easily create stunning images and graphics for your web projects whether it s designing banners social media graphics or custom illustrations GIMP GIMP GNU Image Manipulation Program is a powerful open source image editing software It offers an extensive set of tools and features allowing you to retouch photos create graphics and manipulate images with precision GIMP is a great alternative to paid software like Photoshop Unsplash Unsplash Finding high quality royalty free images can be a challenge but Unsplash makes it effortless It offers a vast library of stunning photographs that you can use freely in your web projects From landscapes to portraits Unsplash provides a diverse range of images across various categories Pixlr Pixlr is a web based image editing tool that offers a user friendly interface resembling Photoshop With Pixlr you can perform basic editing tasks apply filters and effects work with layers and enhance your images without the need for complex software installations SVGOMG Scalable Vector Graphics SVG are essential for creating scalable and resolution independent images SVGOMG is an online tool that optimizes SVG files by reducing file sizes and cleaning up unnecessary code It ensures that your SVG images are optimized for fast loading and smooth rendering TinyJPG Similar to TinyPNG TinyJPG focuses on compressing JPEG images It utilizes advanced compression algorithms to reduce file sizes while preserving visual quality By using TinyJPG you can significantly decrease image file sizes without compromising the overall appearance ImageOptim ImageOptim is a desktop application for macOS that optimizes images to reduce file sizes without sacrificing quality It supports various image formats and employs different optimization techniques to ensure your images are as small as possible while maintaining their visual integrity Placeholder During the development phase using placeholder images is a common practice Placeholder generates custom placeholder images of any size allowing you to create temporary image placeholders that fit your design requirements It s a convenient tool for quickly adding visual elements to your layouts Figma While primarily known as a design and prototyping tool Figma also offers powerful image editing capabilities It allows frontend developers to manipulate images adjust colors crop and export assets With Figma you can efficiently work on image related tasks directly within your design workflow Conclusion In the world of frontend development optimizing and manipulating images is a crucial aspect of creating exceptional web experiences The ten free image tools mentioned in this article including Canva GIMP TinyPNG Unsplash Pixlr SVGOMG TinyJPG ImageOptim Placeholder com and Figma can significantly improve your image handling workflow By utilizing these tools you can enhance your designs optimize images for web performance and save time in the image editing process |
2023-06-08 10:17:34 |
海外TECH |
DEV Community |
Step-By-Step Guide for NgRx with Angular 16! |
https://dev.to/codecraftjs/step-by-step-guide-for-ngrx-with-angular-16-30jd
|
Step By Step Guide for NgRx with Angular NGRX is a popular library for state management in Angular applications It helps to manage the state of an application in a predictable and scalable way In this guide we will go through the step by step process of implementing NGRX by building a small Todo application You can refer the full code here Step Install NGRXTo install NGRX run the following command in your terminal npm install ngrx store ngrx effects saveThe ngrx store package provides the core state management functionality for NGRX The ngrx effects package provides a way to handle side effects in your application Our application folder structure will look like this src store actions ts reducers ts selectors ts store ts todo model ts main ts todo component ts todo component html Step Define the Model for ToDoThe first step is to define the model of your data in store todo model ts export interface Todo id number string description string completed boolean In this example we define the Todo interface with some properties Step Define the Service and ActionsService will contain our todo api service with the getAll function This will act as a fake backend service We will be going to use the Observable and imitate the latency to show the loader Define the todo service in store service ts Injectable export class ToDoService fake backend getAll Observable lt Todo gt return of id description description completed false id description description completed false pipe delay Actions are messages that describe a state change in your application They are plain JavaScript objects that have a type property and an optional payload Define the actions in store actions tsexport const loadTodos createAction Todo Load Todos export const loadTodosSuccess createAction Todo Load Todos Success props lt todos Todo gt export const loadTodosFailure createAction Todo Load Todos Failure props lt error string gt export const addTodo createAction Todo Add Todo props lt todo Todo gt export const updateTodo createAction Todo Update Todo props lt todo Todo gt export const deleteTodo createAction Todo Delete Todo props lt id string gt In this example we define several actions for managing the Todo state The loadTodos action is used to load the list of todos from the server The loadTodosSuccess action is dispatched when the todos are loaded successfully The loadTodosFailure action is dispatched when there is an error loading the todos The addTodo updateTodo and deleteTodo actions are used to add update and delete todos respectively Step Define the ReducersReducers are pure functions that take the current state and an action and return a new state They are responsible for handling the state changes in your application Define the actions in store reducers tsexport const todoFeatureKey todo export interface TodoState todos Todo loading boolean error string export const initialState TodoState todos loading false error export const todoReducer createReducer initialState on TodoActions loadTodos state gt state loading true on TodoActions loadTodosSuccess state todos gt state todos loading false on TodoActions loadTodosFailure state error gt state error loading false on TodoActions addTodo state todo gt state todos state todos todo on TodoActions updateTodo state todo gt state todos state todos map t gt t id todo id todo t on TodoActions deleteTodo state id gt state todos state todos filter t gt t id id In this example we define a reducer for managing the Todo state The todoReducer function takes the initialState and a set of reducer functions defined using the on function from ngrx store Each reducer function handles a specific action and returns a new state Step Define the EffectsEffects are services that listen for actions and perform side effects such as HTTP requests or interacting with the browser s APIs Injectable export class TodoEffects loadTodos createEffect gt this actions pipe ofType TodoActions loadTodos mergeMap gt this todoService getAll pipe map todos gt TodoActions loadTodosSuccess todos catchError error gt of TodoActions loadTodosFailure error error message constructor private actions Actions private todoService ToDoService In this example we define an effect for handling the loadTodos action The loadTodos effect listens for the loadTodos action using the ofType operator from ngrx effects When the action is dispatched the effect calls the getAll method from the TodoService and dispatches either the loadTodosSuccess or loadTodosFailure action depending on the result Step Define interface for the StoreThis will be defined in the store sotre ts file export interface AppState todo TodoState export interface AppStore todo ActionReducer lt TodoState Action gt export const appStore AppStore todo todoReducer export const appEffects TodoEffects AppState interface will define all the feature properties of the application Here we have a single feature called as todo which is of type TodoState We can have multiple features inside our application like this AppStore interface will define all the reducer types used in our app In this case we have a single todo reducer so we will map the todoReducer to the todo property appStore will be used to config our Store Module appEffects will have the array of defined effects classes This will be used to register the effects in the application Step Register the Store and Effects in the main standalone componentTo use the NGRX store in your application you need to register the StoreModule in your AppModule We will be using a standalone components here Component selector my app standalone true imports CommonModule template export class App bootstrapApplication App register the store providers here providers provideStore appStore provideEffects appEffects ToDoService In this example we register the store using the appStore We also register the Effects with appEffects Step Use the Store in ToDo List ComponentTo use the store in your components you need to inject the Store service and dispatch actions We will create a standalone TodoListComponent in src todo list component ts with the html file in src todo list component html Component standalone true selector app todo list imports NgFor NgIf AsyncPipe JsonPipe templateUrl todo list component html export class TodoListComponent todos Observable lt Todo gt todos Todo isLoading Observable lt boolean gt constructor private store Store lt AppState gt this todos this store select todoSelector this isLoading this store select state gt state todo loading this loadTodos loadTodos this store dispatch TodoActions loadTodos addTodo index number const todo Todo id index description New Todo completed false this store dispatch TodoActions addTodo todo complete todo Todo this store dispatch TodoActions updateTodo todo todo completed true In this example we define a component that uses the Store service to load and display todos We inject the Store service and select the todos property from the state using the select method We also define three methods for dispatching the loadTodos addTodo and updateTodo actions The async pipe is used to subscribe to the todos observable and display the list of todos Step Register the ToDo List Component in main component Component selector my app standalone true imports CommonModule TodoListComponent template lt app todo list gt export class App Add TodoListComponent in the imports array Add the lt app todo list gt tag to display the TodoListComponent ConclusionIn this guide we have gone through the step by step process of implementing NGRX in an Angular application We have seen how to define the state actions reducers effects and how to use the store in components By following these steps you can easily manage the state of your application in a scalable and predictable way using NGRX |
2023-06-08 10:15:36 |
海外TECH |
DEV Community |
Best 7 Open-source projects built with Node.js / React.js |
https://dev.to/lalami/best-7-open-source-projects-built-with-nodejs-reactjs-2hdo
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Best Open source projects built with Node js React jsNode js and React js are two of the most popular open source frameworks that have been widely used for developing web applications While Node js is primarily used for creating server side applications React js is commonly used for building user interfaces Both are widely adopted by developers around the world for their flexibility and scalability In this article we will discuss some of the best open source projects built with Node js and React js Let s dive in IDURAR ERP CRMIDURAR is Open Source ERP CRM Invoice Inventory Accounting HR Based on Mern Stack Node js Express js MongoDb React js with Ant Design AntD and ReduxGitHub Repository A MERN stack based online marketplace applicationAn online marketplace application with seller accounts product search and suggestions shopping cart order management payment processing with Stripe and live auction with Socket io developed using React Node Express and MongoDB GitHub Repository Memories Full Stack MERN ApplicationThis is a code repository for the corresponding video tutorial Using React Node js Express amp MongoDB you ll learn how to build a Full Stack MERN Application from start to finish The App is called Memories and it is a simple social media app that allows users to post interesting events that happened in their lives GitHub Repository Shopping cart built with MERN amp ReduxThis project is part of MERN Stack From Scratch eCommerce Platform course It is a full featured shopping cart with PayPal amp credit debit payments See it in action at This is version of the app which uses Redux Toolkit The first version can be found hereGitHub Repository Fullstack MERN Ecommerce ApplicationAn ecommerce store built with MERN stack and utilizes third party API s This ecommerce store enable three main different flows or implementations Buyers browse the store categories products and brandsSellers or Merchants manage their own brand componentAdmins manage and control the entire store componentsGitHub Repository Amazon CloneReact and Node tutorial to build a fully functional e commerce website exactly like amazon Open your code editor and follow me for the next hours to build an e commerce website using MERN stack MongoDB ExpressJS React and Node JS Watch it on Youtube GitHub Repository Full Stack MERN AI Image Generation AppBuild and Deploy a Full Stack MERN AI Image Generation App MidJourney amp DALL E CloneLaunch your development career with project based coaching GitHub Repository |
2023-06-08 10:06:08 |
海外TECH |
DEV Community |
Dependency injection in action filters in ASP.NET Core |
https://dev.to/ifourtechnolab/dependency-injection-in-action-filters-in-aspnet-core-2khj
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Dependency injection in action filters in ASP NET CoreIt is quite common to decorate the ASP NET MVC controller actions with filter attributes to differentiate cross cutting concerns from the main concern of the action Sometimes these filters require the use of other components but the attributes are very limited in their efficiency and dependence injection into an attribute is not directly possible This post looks at some of the different techniques for injection dependence in action filters in the ASP NET Core We discuss when each method should be used before taking a step back and when we can approach the problem separately for a cleaner solution DI and action filter attributesThe Attributes in C are very simple You can pass static values to the constructor and or set public properties directly Because attribute parameters are evaluated at compile time they should be compiled time constant So injecting dependencies from an IoC container is not an option In a situation where we want an attribute to have access to another component we must use a workaround Let s look at some options The RequestServices GetService Service LocatorIf we cannot inject a component into our attribute it seems that the next best option is to request the component from our IoC container either directly or by wrapper In the NET core we can use the service location to resolve components from a built in IoC container using the RequestServices GetService public class ThrottleFilterAttribute Attribute IActionFilter public void OnActionExecuting ActionExecutingContext context var cache context HttpContext RequestServices GetService lt idistributedcache gt lt idistributedcache gt Note that in order to use the generic version of the GetService you need to add the following statements using Microsoft Extensions DependencyInjection This will work but is not recommended Unlike constructor injection it can be much harder to work out your dependence with the service locator anti pattern The beauty of constructor injection is simplicity Just by looking at the definition of a constructor we immediately know all the classes on which the class depends The service location makes the unit test harder which requires you to have more knowledge about the internals of the subject under test Read More Hashing Encryption And Random In Asp net Core The ServiceFilter attributeThe servicefilter attribute may be used at the action or controller level Usage is very straightforward ServiceFilter typeof ThrottleFilter The servicefilter attribute allows us to specify the type of our action filter and can automatically resolve the class from the built in IoC container This means we can change our action filter to accept dependencies directly from the constructor public class ThrottleFilter IActionFilter private readonlyIDistributedCache cache public ThrottleFilter IDistributedCache cache cache cache throw new ArgumentNullException nameof cache Naturally as we are resolving our filters from the IoC container we need to register it public void ConfigureServices IServiceCollection services services AddScoped lt throttlefilter gt lt throttlefilter gt The TypeFilter attributeThe servicefilter is very useful for attributes that have dependencies that need to be resolved from the IoC container but the lack of property support is a major limitation If we modify our ThrottleFilter example to add configuration properties while retaining IDistributedCache dependencies then the servicefilter is no longer useful to us We can however use typefilter public class ThrottleFilter IActionFilter private readonlyIDistributedCache cache public intMaxRequestPerSecond get set public ThrottleFilter IDistributedCache cache intmaxRequestPerSecond cache cache throw new ArgumentNullException nameof cache MaxRequestPerSecond maxRequestPerSecond The typefilter is similar to the servicefilter but there are two notable differences The type being resolved doesn t need to be registered with the IoC container Arguments can be provided that are used while constructing the filter Global action filtersSo far we ve only talked about filters implemented as attributes but you can also apply filters globally public void ConfigureServices IServiceCollection services services AddMvc options gt options Filters Add lt throttlefilter gt lt throttlefilter gt This allows us to resolve the filter from the IoC container in the same way as using a servicefilter attribute on an action or controller but instead it will be applied to every action of each controller You cannot use global filter isolation even if you need to be able to configure individual actions Passive AttributesIf we think about it it does not make sense for action filter attributes to house complex logic and interactions with other components Attributes are best for identification and by choosing which actions or controllers we belong to They are also best for individual actions or configurations of controllers They probably shouldn t be full of complex code The presence of a ThrottleAttribute on the action indicates that it should be throttled This is an opt in approach but we can easily use an opt out approach where an attribute indicates that we do not want to throttle the action Searching for Reliable NET Development Company Enquire Today We also want to be able to alternately refer to maximum requests per second Implementation is trivial public class ThrottleAttribute Attribute IFilterMetadata public intMaxRequestPerSecond get set Note that we apply IFilterMetadata This is a marker interface that makes it easier to read our attributes from the global filters The global action filter is registered with MVC in the same way as we showed at the beginning of the section All dependencies are resolved automatically by the built in IoC container public class ThrottleFilter IActionFilter private readonlyIDistributedCache cache public ThrottleFilter IDistributedCache cache cache cache throw new ArgumentNullException nameof cache public void OnActionExecuted ActionExecutedContext context noop public void OnActionExecuting ActionExecutingContext context varthrottleAttribute context ActionDescriptor FilterDescriptors Select x gt x Filter OfType lt throttleattribute gt FirstOrDefault if throttleAttribute null lt throttleattribute gt ConclusionIt is not possible to inject components directly into action filter attributes but there are various workarounds to allow the same thing to be accomplished effectively Using a servicefilter is a relatively clean way to allow dependency injection into individual action filters Specifying the type for the filter in this way does mean that invalid types can be entered and will not be discovered until runtime however Before implementing any of these techniques you should consider a passive attribute approach In our opinion this is the best solution to the problem To summarize this method requires two classes We have a very simple marker attribute applied to actions and this is combined with a global action filter that has real logic |
2023-06-08 10:02:23 |
Apple |
AppleInsider - Frontpage News |
Adobe refreshes its social media content creation tool Adobe Express with Adobe Firefly generative AI |
https://appleinsider.com/articles/23/06/08/adobe-refreshes-its-social-media-content-creation-tool-adobe-express-with-adobe-firefly-generative-ai?utm_medium=rss
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Adobe refreshes its social media content creation tool Adobe Express with Adobe Firefly generative AIAdobe Express a tool designed by Adobe to help users make eye catching posts for social media is getting an overhaul with new features ーincluding Adobe Firefly generative AI The new update which begins rolling out to desktop users on Thursday includes several new innovations for those looking to take their social media posts to the next level A new all in one editor allows creators to make design elements videos and images PDFs and more in a single place Read more |
2023-06-08 10:56:48 |
Apple |
AppleInsider - Frontpage News |
Wedbush raises Apple stock target to $220 after Vision Pro launch |
https://appleinsider.com/articles/23/06/08/wedbush-raises-apple-stock-target-to-220-after-vision-pro-launch?utm_medium=rss
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Wedbush raises Apple stock target to after Vision Pro launchAnalysts at investment firm Wedbush have raised their Apple target price by based on predictions of success for the Vision Pro headset iPhone range and Apple services In April Wedbush raised its target price from to based on expectations of strong iPhone demand later in the year Now it has made another jump to again because of the next iPhone but also specifically because of Vision Pro services and what it sees as Apple s longterm planning Apple playing chess while others play checkers is the analysts summary in a note to investors seen by AppleInsider Based on our current analysis we estimate roughly million iPhones have not been upgraded in over years and sets Apple up for a major installed base upgrade cycle heading into this anniversary year release Read more |
2023-06-08 10:04:19 |
海外TECH |
Engadget |
United is putting 4K displays and Bluetooth on its planes |
https://www.engadget.com/united-is-putting-4k-displays-and-bluetooth-on-its-planes-103520707.html?src=rss
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United is putting K displays and Bluetooth on its planesUnited Airlines has struck a deal with Panasonic Avionics that could make flying in economy more bearable No it will not magically make the seats wider or the leg room bigger but it will distract you with a larger sharper in flight entertainment display and ーsome will perhaps find this even more exciting ーBluetooth The airline has announced that it s installing almost units of Panasonic Avionics Astrova in flight entertainment IFE screens on select new Boeing and Airbus AXLR aircraft nbsp They re seatback displays that use K OLED technology which promises sharper image quality and better contrast ratio than a lot of other IFE systems The company says Astrova can also provide high fidelity D spatial audio through its latest Bluetooth technology Yep you won t need to use wired headphones anymore or bring one of those Bluetooth dongles just so you could use your wireless earbuds Astrova also comes with USB C ports capable of charging your phones and tablets with watts of DC power nbsp As Aviation Week notes the Boeing and Airbus AXLR planes are part of United s international fleet but the airline will reportedly equip its domestic planes with Astrova IFE systems as well The displays will be installed under the United Next program which aims to put a seatback in flight display at every seat United plans to provide first class passengers access to inch displays and passengers in economy with inch IFE screens nbsp In their announcement the companies said their agreement will allow United to upgrade the Astrova displays over the coming years The IFE system uses a modular architecture with a removable peripheral bar that makes it easy to add newer technologies and update its Bluetooth or charging stations No upgrade will be happening anytime soon though ーthe airline isn t scheduled to start installing the in flight entertainment systems until nbsp This article originally appeared on Engadget at |
2023-06-08 10:35:20 |
ラズパイ |
Raspberry Pi |
Celebrating 5801 young people’s digital creations at Coolest Projects 2023 |
https://www.raspberrypi.org/blog/celebrating-coolest-projects-2023/
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Celebrating young people s digital creations at Coolest Projects An absolutely huge congratulations to each and every single young creator who participated in Coolest Projects our digital technology showcase for young people young people from countries took part This year s participants made projects that entertained inspired and wowed us ーcreators showcased everything from robotic arms to platformer games We celebrated The post Celebrating young people s digital creations at Coolest Projects appeared first on Raspberry Pi Foundation |
2023-06-08 10:48:37 |
医療系 |
医療介護 CBnews |
地ケア持つ病院の約8割が夜間・深夜も救急対応-受け入れ頻度「週7日」が最多 |
https://www.cbnews.jp/news/entry/20230608192159
|
中央社会保険医療協議会 |
2023-06-08 19:40:00 |
金融 |
金融庁ホームページ |
入札公告等を更新しました。 |
https://www.fsa.go.jp/choutatu/choutatu_j/nyusatu_menu.html
|
公告 |
2023-06-08 11:00:00 |
ニュース |
BBC News - Home |
Boy who died in school incident named as Hamdan Aslam |
https://www.bbc.co.uk/news/uk-scotland-edinburgh-east-fife-65843677?at_medium=RSS&at_campaign=KARANGA
|
lothian |
2023-06-08 10:09:40 |
ニュース |
BBC News - Home |
Strictly's Amy Dowden gives update as cancer treatment begins |
https://www.bbc.co.uk/news/uk-wales-65843555?at_medium=RSS&at_campaign=KARANGA
|
breast |
2023-06-08 10:52:07 |
ニュース |
BBC News - Home |
Warning firms may use brain data to watch workers |
https://www.bbc.co.uk/news/technology-65822889?at_medium=RSS&at_campaign=KARANGA
|
report |
2023-06-08 10:04:16 |
ニュース |
BBC News - Home |
Lords debate Illegal Migration Bill until 4am |
https://www.bbc.co.uk/news/uk-politics-65843261?at_medium=RSS&at_campaign=KARANGA
|
early |
2023-06-08 10:02:35 |
ニュース |
BBC News - Home |
Alexis Mac Allister: Liverpool sign Brighton & Argentina midfielder for £35m |
https://www.bbc.co.uk/sport/football/65842033?at_medium=RSS&at_campaign=KARANGA
|
contract |
2023-06-08 10:50:36 |
ニュース |
BBC News - Home |
Declan Rice: West Ham United captain has 'heart' set on leaving after Europa Conference League title |
https://www.bbc.co.uk/sport/football/65843148?at_medium=RSS&at_campaign=KARANGA
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Declan Rice West Ham United captain has x heart x set on leaving after Europa Conference League titleChairman David Sullivan says captain Declan Rice is likely to have played his last game for West Ham after being promised he could leave this summer |
2023-06-08 10:14:44 |
ニュース |
BBC News - Home |
Europa Conference League final: West Ham boss David Moyes celebrates in style after win |
https://www.bbc.co.uk/sport/av/football/65834406?at_medium=RSS&at_campaign=KARANGA
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Europa Conference League final West Ham boss David Moyes celebrates in style after winWest Ham manager David Moyes shows off his dancing skills as he celebrates in the dressing room after the Europa Conference League triumph |
2023-06-08 10:21:37 |
ニュース |
Newsweek |
折り畳み傘がお買い得...55%オフの商品も!【Amazon タイムセール】 |
https://www.newsweekjapan.jp/stories/lifestyle/2023/06/55amazon.php
|
折り畳み傘がお買い得オフの商品も【Amazonタイムセール】人気商品が日替わりで登場するAmazon「タイムセール」。 |
2023-06-08 19:30:00 |
IT |
週刊アスキー |
PS5/Switch/Xbox One/XSX|SのまちづくりSLG『きみのまち サンドロック』の発売日が判明! |
https://weekly.ascii.jp/elem/000/004/140/4140253/
|
dmmgames |
2023-06-08 19:30:00 |
IT |
週刊アスキー |
「龍が如く」シリーズをまとめて購入するチャンス!「セガ 6月オススメセール」が開催中 |
https://weekly.ascii.jp/elem/000/004/140/4140239/
|
playstationstore |
2023-06-08 19:10:00 |
海外TECH |
reddit |
小西ひろゆき「この懲罰動議はおかしい。法律には文字どおり人の命が懸かったものがある。入管難民法案はまさにそれだ。そうした法案の強行採決に直面したときの行動は個々の議員の政治信条そのものでそれを懲罰事犯にするべきではない。もちろん、暴行そのものを目的とする行為は許されないが、議会制民主主義の懐(ふところ)で処理すべきものだ」 |
https://www.reddit.com/r/newsokuexp/comments/144520q/小西ひろゆきこの懲罰動議はおかしい法律には文字どおり人の命が懸かったものがある入管難民法案はまさにそ/
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もちろん、暴行そのものを目的とする行為は許されないが、議会制民主主義の懐ふところで処理すべきものだ」なお、立法事実の無い法案の採決を行った委員長、動員された法務委員でない多数の与党議員も問題だが、それも含めて懲罰事犯に問うべきではない。 |
2023-06-08 10:04:02 |
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