Strict vs Safe Mode

Understanding the difference between strict and safe calculation modes.

Strict Mode

Strict mode provides:

• Fail-fast behavior

• Type validation

• Unit checking

• Error propagation

from metricengine import strict_policy

with strict_policy():
    # Will raise on any validation error
    result = risky_calculation()

Safe Mode

Safe mode offers:

• Graceful degradation

• Warning instead of errors

• Default value fallbacks

• Continued execution

from metricengine import safe_policy

with safe_policy():
    # Will warn and continue with defaults
    result = risky_calculation()

When to Use Each

• Strict: Production calculations, critical operations

• Safe: Data exploration, batch processing