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avoid interpreting integral numbers as coordinates
There are addresses of type '123 W 345 N, Reigh', where 'W 345 N' is the actual name of the street.
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@@ -136,10 +136,10 @@ def _deg(axis:str) -> str:
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return f"(?P<{axis}_deg>\\d+\\.\\d+)°?"
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def _deg_min(axis: str) -> str:
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return f"(?P<{axis}_deg>\\d+)[°\\s]+(?P<{axis}_min>[\\d.]+)?[′']*"
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return f"(?P<{axis}_deg>\\d+)[°\\s]+(?P<{axis}_min>[\\d.]+)[′']*"
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def _deg_min_sec(axis: str) -> str:
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return f"(?P<{axis}_deg>\\d+)[°\\s]+(?P<{axis}_min>\\d+)[′'\\s]+(?P<{axis}_sec>[\\d.]+)?[\"″]*"
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return f"(?P<{axis}_deg>\\d+)[°\\s]+(?P<{axis}_min>\\d+)[′'\\s]+(?P<{axis}_sec>[\\d.]+)[\"″]*"
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COORD_REGEX = [re.compile(r'(?:(?P<pre>.*?)\s+)??' + r + r'(?:\s+(?P<post>.*))?') for r in (
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r"(?P<ns>[NS])\s*" + _deg('lat') + r"[\s,]+" + r"(?P<ew>[EW])\s*" + _deg('lon'),
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@@ -11,7 +11,11 @@ import pytest
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import nominatim.api.v1.helpers as helper
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@pytest.mark.parametrize('inp', ['', 'abc', '12 23', 'abc -78.90, 12.456 def'])
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@pytest.mark.parametrize('inp', ['',
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'abc',
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'12 23',
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'abc -78.90, 12.456 def',
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'40 N 60 W'])
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def test_extract_coords_no_coords(inp):
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query, x, y = helper.extract_coords_from_query(inp)
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