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fix various typos

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Sarah Hoffmann
2022-07-31 17:10:35 +02:00
parent e7574f119e
commit 9864b191b1
4 changed files with 45 additions and 42 deletions
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2
nominatim/data/place_name.py
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@@ -20,7 +20,7 @@ class PlaceName:
is the part of the key after the first colon.
In addition to that, a name may have arbitrary additional attributes.
How attributes are used, depends on the sanatizers and token analysers.
How attributes are used, depends on the sanitizers and token analysers.
The exception is is the 'analyzer' attribute. This attribute determines
which token analysis module will be used to finalize the treatment of
names.

12
nominatim/tokenizer/sanitizers/config.py
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@@ -23,8 +23,8 @@ else:
class SanitizerConfig(_BaseUserDict):
""" The `SanitizerConfig` class is a read-only dictionary
with configuration options for the sanitizer.
In addition to the usual dictionary function, the class provides
accessors to standard sanatizer options that are used by many of the
In addition to the usual dictionary functions, the class provides
accessors to standard sanitizer options that are used by many of the
sanitizers.
"""
@@ -81,15 +81,15 @@ class SanitizerConfig(_BaseUserDict):
def get_delimiter(self, default: str = ',;') -> Pattern[str]:
""" Return the 'delimiters' parameter in the configuration as a
compiled regular expression that can be used to split names on these
delimiters.
compiled regular expression that can be used to split strings on
these delimiters.
Arguments:
default: Delimiters to be used, when 'delimiters' parameter
default: Delimiters to be used when 'delimiters' parameter
is not explicitly configured.
Returns:
A regular expression pattern, which can be used to
A regular expression pattern which can be used to
split a string. The regular expression makes sure that the
resulting names are stripped and that repeated delimiters
are ignored. It may still create empty fields on occasion. The

24
nominatim/tokenizer/token_analysis/base.py
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@@ -44,15 +44,18 @@ class Analyzer(Protocol):
A list of possible spelling variants. All strings must have
been transformed with the global normalizer and
transliterator ICU rules. Otherwise they cannot be matched
against the query later.
against the input by the query frontend.
The list may be empty, when there are no useful
spelling variants. This may happen, when an analyzer only
produces extra variants to the canonical spelling.
spelling variants. This may happen when an analyzer only
usually outputs additional variants to the canonical spelling
and there are no such variants.
"""
class AnalysisModule(Protocol):
""" Protocol for analysis modules.
""" The setup of the token analysis is split into two parts:
configuration and analyser factory. A token analysis module must
therefore implement the two functions here described.
"""
def configure(self, rules: Mapping[str, Any],
@@ -64,13 +67,14 @@ class AnalysisModule(Protocol):
Arguments:
rules: A dictionary with the additional configuration options
as specified in the tokenizer configuration.
normalizer: an ICU Transliterator with the compiled normalization
rules.
transliterator: an ICU transliterator with the compiled
transliteration rules.
normalizer: an ICU Transliterator with the compiled
global normalization rules.
transliterator: an ICU Transliterator with the compiled
global transliteration rules.
Returns:
A data object with the configuration that was set up. May be
A data object with configuration data. This will be handed
as is into the `create()` function and may be
used freely by the analysis module as needed.
"""
@@ -82,7 +86,7 @@ class AnalysisModule(Protocol):
Arguments:
normalizer: an ICU Transliterator with the compiled normalization
rules.
transliterator: an ICU tranliterator with the compiled
transliterator: an ICU Transliterator with the compiled
transliteration rules.
config: The object that was returned by the call to configure().