'asynchronous' 검색 결과

Build Python integrations with crypto exchanges using CCXT. Get guidance on fetching prices and order books, placing orders, checking balances, and receiving live updates, with examples for authentication, error handling, and synchronous or asynchronous code.

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• Fetch exchange data for analysis
• Implement order placement in a trading bot
• Monitor live prices and order books

Trace queued jobs from submission to their eventual effects in a CTF sandbox. Compare request-time and worker-time settings, follow retries and failed-message handling, and document the smallest sequence that explains a worker-specific result.

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• Trace a queued payload to its eventual downstream effect
• Compare request-time settings with worker runtime state
• Investigate retries and dead-letter queue handling

Move slow Python operations into background jobs so requests can return promptly. Use task queues and workers, the processes that execute queued work, with retry rules, duplicate handling, time limits, and persistent job status.

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• Send emails and notifications in the background
• Generate reports and data exports asynchronously
• Process uploads and media conversions

Review Python code for common mistakes in error handling, asynchronous operations, type annotations, and tests. Use a practical checklist and correction examples to guide code reviews, investigate bugs, and improve existing implementations.

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• Reviewing Python code before a merge
• Investigating bugs caused by common coding mistakes
• Refactoring legacy Python code

Design application and API behavior when operations fail. Choose between exceptions and Result types, which explicitly represent success or failure, and improve retries, error messages, logging, and resource cleanup so failures are easier to handle and investigate.

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• Add error handling to a new feature
• Design API behavior for failures
• Improve error messages and logs for production debugging

Refactor JavaScript using ES6+ features to make code easier to read and maintain. Covers asynchronous operations with async/await, modules, and functional patterns that transform data without changing the original values.

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• Refactoring legacy JavaScript
• Migrating callbacks to async/await
• Building data transformation pipelines

Review C#/.NET code for design patterns, separation of responsibilities, and common implementation issues. Receive actionable recommendations covering maintainability, testing, performance, and security without changing the code.

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• Review design patterns in C#/.NET code
• Check separation of responsibilities before refactoring
• Identify dependencies that make testing difficult

Write C# unit tests with TUnit using clear test structure, asynchronous checks, and multiple input cases. Get guidance on setup and cleanup, execution controls, test organization, and converting existing xUnit tests to TUnit.

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• Setting up a TUnit test project
• Testing one behavior with multiple input cases
• Organizing test setup and cleanup

Use QwenPaw's built-in Browser SDK, a browser control interface, to read pages, search, fill forms, click controls, and capture screenshots through asynchronous Python. The workflow checks the page before and after actions and hands authentication steps to a person.

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• Search a website and inspect the resulting page
• Fill forms and select options in a browser
• Read page text and capture screenshots

Automate browser tasks through QwenPaw's built-in Browser SDK using asynchronous Python. Read page content, fill forms, click controls, and capture screenshots, checking the resulting page after each action to verify what happened.

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• Search a website and inspect the results
• Fill forms and operate page controls
• Capture page screenshots

Guide reinforcement learning, training models through rewards, with slime. Prepare data, configure Megatron-LM training and SGLang response generation, and set up asynchronous runs or custom multi-turn workflows for supported language models.

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• Preparing reward-based training for GLM or Qwen models
• Overlapping response generation and training
• Training agents that use tools across multiple turns

Embed Zoom meetings inside a chosen area of a web application. This guide covers initialization, joining, layout customization, meeting controls, and event handling, with React examples and asynchronous APIs that let code wait for operations to finish.

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• Embedding Zoom meetings in a web application
• Building a React meeting component
• Adjusting meeting display size and adding toolbar buttons

Reviews pull requests for bugs, error handling, code quality, and style consistency. Organizes feedback into an overview, must-fix issues with file locations, improvement suggestions, and positive notes so reviewers can distinguish urgent problems from refinements.

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• Finding bugs that must be fixed before merging
• Reviewing TypeScript types and asynchronous code
• Checking naming, imports, and leftover debug statements

Apply the same operation across multiple files using parallel worker agents. The skill finds matching files, divides the work, and reports successes, failures, and skipped files, with a preview option before edits.

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• Add license headers across source files
• Convert JavaScript files to TypeScript
• Fix the same lint issue in multiple files

Verify a local OpenSEO MCP server, which exposes tools to AI agents, through real DataForSEO calls and a headless Claude trial. Check protocol correctness alongside tool discovery, input rules, response size, errors, and asynchronous task recovery.

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• Checking an MCP tool after adding or changing it
• Testing whether an agent can choose tools from their descriptions
• Verifying queued tasks and recovery using taskId

Maintain existing Handsontable browser tests built with Jasmine and Puppeteer. Covers asynchronous operations, simulated user input, assertions that work across themes, targeted test runs, and guidance for moving broken or unreliable tests to Playwright.

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• Updating an existing Jasmine browser test
• Fixing assertions that fail under different themes
• Checking simulated mouse, keyboard, and touch input

Build or modify Handsontable cell editors with guidance on editing states, input validation, focus, and element cleanup. Address dropdown positioning during scrolling, right-to-left layouts, and Japanese or other text input using composition.

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• Building a custom cell editor
• Supporting asynchronous input validation
• Fixing dropdown positioning during scrolling or in RTL layouts

Create a weekly engineering and product update from GitHub and Slack, combining shipped outcomes with contributor rankings, merged pull request counts, weekly changes, consecutive shipping weeks, and a thread for asynchronous team check-ins.

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• Sharing weekly engineering and product outcomes
• Comparing contributor PR counts with the previous week
• Collecting team priorities and blockers in a Slack thread

Helps implement iii workers in Node.js, browsers, Python, and Rust with language-specific guidance on installation, function registration, calls, data channels, and logging. Explains package choices and connection constraints for each environment.

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• Choosing the iii SDK for a runtime
• Implementing asynchronous calls in Python
• Connecting a browser app to backend functions

Helps write and improve Python code with type hints, tests, and organized package settings. Covers dependency management, asynchronous tasks that wait on external operations, and profiling to identify performance bottlenecks before making changes.

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• Refactoring Python code with type hints and tests
• Organizing package settings and dependencies
• Implementing concurrent input and output tasks

Triage incorrect MNN outputs and regressions by matching symptoms to focused debugging guides. Use backend comparisons, minimal reproductions, and controlled experiments to investigate memory issues, quantization, concurrency, numeric limits, caches, and inconsistent results across runs.

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• Investigating garbled or degraded MNN output
• Comparing results across execution backends
• Tracking regressions after optimization changes

Add pedestrians to a CARLA map and let them walk autonomously. Adjust crowd size, walking speed, road-crossing frequency, and placement seeds, create stationary crowds, and remove pedestrians together with their movement controllers in the correct order.

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• Adding pedestrians who walk around a map
• Reusing pedestrian placement with a fixed seed
• Adjusting walking speeds and road crossings

Run Scenic traffic scenarios on a CARLA server. First test whether a valid scene can be generated, then simulate with limits on runs and steps, record the outcome, and restore the world's asynchronous setting afterward.

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• Check a CARLA setup with carlaChallenge1
• Diagnose scenarios that reject every generated scene
• Check which challenge scenarios can run

Read and change a running CARLA server’s timing, physics substeps, and rendering settings. Switch between client-controlled steps and automatic progression, keep Traffic Manager synchronization aligned, and read back the settings to verify each change.

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• Setting a fixed simulation rate for sensor capture
• Keeping Traffic Manager aligned with synchronous mode
• Disabling rendering or adjusting physics substeps