BDHU/thinkagain - CodSpeed

thinkagain

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Latest Results

feat: enhance service decorator to support class and function usage

main

3 months ago

feat: enhance service decorator to support class and function usage

dynamic

3 months ago

Update README.md Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

main

3 months ago

Update README.md Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

graph

3 months ago

feat: enable unpack() to work with @ta.jit decorator - Remove @node decorator from unpack() and use asyncio.gather() to call get() for each key - This allows tuple unpacking syntax to work during JIT tracing - Update bundle examples to use @ta.jit with unpack() - Add test case verifying unpack works with @ta.jit - Update documentation to reflect that unpack now works everywhere

graph

3 months ago

feat: enable unpack() to work with @ta.jit decorator - Remove @node decorator from unpack() and use asyncio.gather() to call get() for each key - This allows tuple unpacking syntax to work during JIT tracing - Update bundle examples to use @ta.jit with unpack() - Add test case verifying unpack works with @ta.jit - Update documentation to reflect that unpack now works everywhere

graph

3 months ago

Refactor distributed module for improved scaling and optimization - Removed ScalingPolicy class and integrated scaling configuration directly into ReplicaSpec. - Enhanced AutoScaler to auto-discover replicas with throughput configured. - Introduced DeploymentPlan class for actionable deployment strategies based on optimization results. - Updated replica registration to include throughput and scaling parameters. - Simplified validation logic by removing the validation module and integrating checks directly into NodeConfig and ReplicaSpec. - Improved documentation and examples for clarity on usage and configuration. - Cleaned up imports and organized the __init__.py for better module structure.

main

3 months ago

Refactor distributed module for improved scaling and optimization - Removed ScalingPolicy class and integrated scaling configuration directly into ReplicaSpec. - Enhanced AutoScaler to auto-discover replicas with throughput configured. - Introduced DeploymentPlan class for actionable deployment strategies based on optimization results. - Updated replica registration to include throughput and scaling parameters. - Simplified validation logic by removing the validation module and integrating checks directly into NodeConfig and ReplicaSpec. - Improved documentation and examples for clarity on usage and configuration. - Cleaned up imports and organized the __init__.py for better module structure.

dev

3 months ago

Latest Branches

-31%

This PR represents a major API and architecture refactoring of the thinkagain framework, introducing a cleaner module structure, updated terminology, and improved runtime capabilities.#61

3 months ago

d204bf5

dynamic

N/A

Major refactoring and enhancement of the core graph execution engine. This PR restructures the codebase into modular subpackages, improves type safety across the board, and introduces new capabilities for graph execution and data handling.#60

3 months ago

deef1a1

graph

0%

Dev#59

3 months ago

c478391

dev

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