Fix Pandas compatibility, DCID collisions, and validation config for NCES_SchoolDistrict

[smarthg-gi]

Changes

• Pandas 2.0+ Compatibility: Wrapped _PV_FORMAT inputs in tuple(pv) to resolve Series positional indexing KeyError: 1.
• PyArrow RE2 Regex: Updated quantifier in _SCHOOL_GRADE_PATTERN from \d{,2} to \d{1,2} to restore grade-level StatVars in Pandas 3.0+.
• DCID Collision Prevention: Added word boundaries to _GENDER regex and configured "Total Staff" population type to avoid duplicate StatVar collisions.
• Dynamic DC API Root: Removed hardcoded 'dc_api_root': None to dynamically inherit os.environ['DC_API_ROOT'].
• Validation: Configured validation_config.json with historical deletion threshold.

[gemini-code-assist]

Code Review

This pull request introduces several updates to the US NCES demographics processing, including adding 'Total Staff' mapping, fixing a regex pattern for school grades, adding word boundaries to gender replacement keys to prevent incorrect replacements, fixing a missing comma in the school district configuration, and adding a validation configuration. The reviewer feedback recommends replacing the lambda assignment for _PV_FORMAT with a standard function to comply with PEP 8 and improve performance. Additionally, the reviewer advises completely removing various commented-out code blocks across the modified files to keep the codebase clean.

[gemini-code-assist]

According to PEP 8, you should always use a def statement instead of an assignment statement that binds a lambda expression directly to an identifier. Additionally, calling tuple(pv) three times within the lambda is inefficient. Defining a proper helper function improves both readability and performance.

def _PV_FORMAT(pv):
    t = tuple(pv)
    return f'"{t[0]}": "dcs:{t[1]}"' if 'None' not in str(t[1]) else ""

References

1. PEP 8: Always use a def statement instead of an assignment statement that binds a lambda expression directly to an identifier. ^(link)

[gemini-code-assist]

Avoid leaving commented-out code in the codebase. Since version control tracks history, unused configuration options should be completely removed to keep the code clean and maintainable.

Suggested change

	'dc_api_use_cache': False
	# 'dc_api_root': None # Inherits os.environ['DC_API_ROOT'] (autopush in test env / prod in prod env)
	'dc_api_use_cache': False,

[gemini-code-assist]

Avoid leaving commented-out code in the codebase. Unused configuration options should be completely removed to keep the code clean and maintainable.

Suggested change

	'dc_api_use_cache': False
	# 'dc_api_root': None # Inherits os.environ['DC_API_ROOT'] (autopush in test env / prod in prod env)
	'dc_api_use_cache': False,

[gemini-code-assist]

Avoid leaving commented-out code in the codebase. Unused configuration options should be completely removed to keep the code clean and maintainable.

Suggested change

	'dc_api_use_cache': False
	# 'dc_api_root': None # Inherits os.environ['DC_API_ROOT'] (autopush in test env / prod in prod env)
	'dc_api_use_cache': False,

[gemini-code-assist]

Avoid leaving commented-out code blocks in the codebase. Since the logic is no longer needed due to the updated _GENDER regex boundaries, this block should be completely removed.

[gemini-code-assist]

Avoid leaving commented-out code in the codebase. The previous definition of _GENDER should be removed to keep the file clean.

Suggested change

	# Original without word boundary caused "female" -> "FeMale":
	# _GENDER = {"female": "Female", "male": "Male"}
	_GENDER = {r"\bfemale\b": "Female", r"\bmale\b": "Male"}
	_GENDER = {r"\bfemale\b": "Female", r"\bmale\b": "Male"}