Add pydantic validation decorators to epoch and ontology modules

[stevevanhooser]

Summary

This PR adds Pydantic validation decorators (@pydantic.validate_call) to multiple functions and methods across the epoch and ontology modules to enable runtime input validation using Pydantic's validation framework.

Key Changes

• epochset.py:

  • Removed TYPE_CHECKING guard for ClockType import to make it available at runtime
  • Added @pydantic.validate_call decorator to epochclock(), t0_t1(), epochid(), epochnumber(), and epochtableentry() methods
  • Added Pydantic Field constraint ge=1 (greater than or equal to 1) to epoch_number parameters to validate that epoch numbers are >= 1
  • Simplified validation logic by removing redundant epoch_number < 1 checks (now handled by Pydantic)

• providers.py:

  • Added @pydantic.validate_call decorator to lookup_term() methods across all provider classes: OntologyProvider, OLSProvider, OMProvider, NDICProvider, NCImProvider, NCBITaxonProvider, WBStrainProvider, RRIDProvider, PubChemProvider, and EMPTYProvider

• ontology/init.py:

  • Added @pydantic.validate_call decorator to the lookup() function
  • Removed unused imports (lru_cache, Path, Dict, List, Optional, Tuple)

• functions.py:

  • Added @pydantic.validate_call decorator with ConfigDict(arbitrary_types_allowed=True) to epochrange() and findepochnode() functions to allow validation of custom types like ClockType

• epoch.py:

  • Added @pydantic.validate_call decorator with ConfigDict(arbitrary_types_allowed=True) to is_epoch_or_empty() function

• epochprobemap.py:

  • Added @pydantic.validate_call decorator to parse_devicestring() and build_devicestring() functions

• epochprobemap_daqsystem.py:

  • Added @pydantic.validate_call decorator to savetofile() method

• epoch/init.py:

  • Exported build_devicestring and parse_devicestring functions in the module's public API

Implementation Details

• Used Annotated[int, Field(ge=1)] pattern for epoch number validation to enforce minimum value constraints at the type level
• Applied ConfigDict(arbitrary_types_allowed=True) where functions accept custom types (e.g., ClockType) that Pydantic doesn't natively understand
• Maintained backward compatibility by keeping all existing function signatures and behavior

https://claude.ai/code/session_01RoNGaAUDsDLzPLhMLVutbZ