Specialized processor for housenumbers. Analyses common housenumber patterns
and creates variants for them.
"""
+from typing import Mapping, Any, List, cast
import re
from nominatim.tokenizer.token_analysis.generic_mutation import MutationVariantGenerator
### Configuration section
-def configure(rules, normalization_rules): # pylint: disable=W0613
+def configure(rules: Mapping[str, Any], normalization_rules: str) -> None: # pylint: disable=W0613
""" All behaviour is currently hard-coded.
"""
return None
### Analysis section
-def create(normalizer, transliterator, config): # pylint: disable=W0613
+def create(normalizer: Any, transliterator: Any, config: None) -> 'HousenumberTokenAnalysis': # pylint: disable=W0613
""" Create a new token analysis instance for this module.
"""
return HousenumberTokenAnalysis(normalizer, transliterator)
class HousenumberTokenAnalysis:
""" Detects common housenumber patterns and normalizes them.
"""
- def __init__(self, norm, trans):
+ def __init__(self, norm: Any, trans: Any) -> None:
self.norm = norm
self.trans = trans
self.mutator = MutationVariantGenerator('␣', (' ', ''))
- def normalize(self, name):
+ def normalize(self, name: str) -> str:
""" Return the normalized form of the housenumber.
"""
# shortcut for number-only numbers, which make up 90% of the data.
if RE_NON_DIGIT.search(name) is None:
return name
- norm = self.trans.transliterate(self.norm.transliterate(name))
+ norm = cast(str, self.trans.transliterate(self.norm.transliterate(name)))
# If there is a significant non-numeric part, use as is.
if RE_NAMED_PART.search(norm) is None:
# Otherwise add optional spaces between digits and letters.
return norm
- def get_variants_ascii(self, norm_name):
+ def get_variants_ascii(self, norm_name: str) -> List[str]:
""" Compute the spelling variants for the given normalized housenumber.
Generates variants for optional spaces (marked with '␣').