API Reference

Epochly API Reference: Context Managers

Context manager API reference: epochly.optimize(), epochly.monitor(), and block-level configuration.

Context managers for block-level optimization control.

optimize_context()

Apply optimization to a code block.

with epochly.optimize_context(level=1):
    # optimized code

Parameter	Type	Default	Description
`level`	int	1	Enhancement level (0-4)
`monitor_performance`	bool	True	Enable performance monitoring

import epochly
with epochly.optimize_context(level=3):
    result = heavy_computation(data)

Add performance monitoring to a code block.

with epochly.monitoring_context(enable=True):
    # monitored code

Parameter	Type	Default	Description
`enable`	bool	True	Enable monitoring
`reset_on_exit`	bool	False	Reset metrics on context exit

Enable JIT compilation for a code block.

with epochly.jit_context():
    # JIT-compiled code

Parameter	Type	Default	Description
`**options`	Any	-	Additional JIT compilation options

Enable threading optimization for a code block.

with epochly.threading_context(max_workers=None, thread_pool=True, **options):
    # threaded code

Parameter	Type	Default	Description
`max_workers`	int	None	Maximum thread count
`thread_pool`	bool	True	Use thread pool
`**options`	Any	-	Additional threading options

Benchmark a code block.

with epochly.benchmark_context() as benchmark:
    # code to benchmark
print(benchmark.results)

Parameter	Type	Default	Description
`name`	str	'benchmark'	Benchmark name
`print_results`	bool	True	Print results on exit