Answer prose round 1 and product-owner round 1: CheckIdentifier's doc counts a bound name, FuncCall and the grammar doc say PathRead and identifiers, the Layout's list.go, name.go and data-import rows read on one pass, the locality row says a postort with no street is dropped, geo.py's docs name what they take, well_cased says what it drops, and item 61 names the next steps to share
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@@ -10,7 +10,8 @@ CACHE = Path(__file__).resolve().parent / "cache"
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def parser(doc, country, **own):
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"""The options every country's import takes and the script's own, keyed by name with "_" for "-", in name order."""
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"""A parser for the options every country's import takes, plus the script's own: each keyword names one option, with
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"_" standing for "-"."""
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options = {"cache": {"default": str(CACHE)}, "out": {"default": str(DATA / country)}, "streets_per_locality": {"type": int, "default": 10}, **own}
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p = argparse.ArgumentParser(description=doc.splitlines()[0])
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for name in sorted(options):
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@@ -63,8 +64,8 @@ class Nearest:
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def top_streets(count, per_locality, column):
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"""Per locality, the per_locality street names counted most in count, keyed (locality, name), ties by name; each
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row holds its count in column."""
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"""count maps (locality, street name) to a count. Per locality, the per_locality names counted most, ties broken by
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name, each row holding its count under column."""
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of = collections.defaultdict(list)
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for (locality, name), n in count.items():
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of[locality].append((n, name))
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@@ -72,7 +73,7 @@ def top_streets(count, per_locality, column):
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def with_streets(places, named):
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"""The places named holds streets for; each other one is logged as dropped."""
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"""The places that named holds streets for; logs each other place as dropped."""
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for key, place in places.items():
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if key not in named:
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label = key if key == place["name"] else f"{key} {place['name']}"
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