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tools/extract-formats.py: handle continuous types in tlvs.
We were swallowing the unused line after `data`, but it's normal to do: ``` 1. tlvs: `n1` 2. types: 1. type: 1 (`tlv1`) 2. data: * [`tu64`:`amount_msat`] 1. type: 2 (`tlv2`) 2. data: * [`short_channel_id`:`scid`] ``` Signed-off-by: Rusty Russell <rusty@rustcorp.com.au>
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1 changed files with 4 additions and 5 deletions
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@ -97,13 +97,13 @@ def parse_type(genline, output, name, value, option, in_tlv=None):
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# Expect a data: line before values, if any
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if line.lstrip() != '2. data:':
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return
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return _, line
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while True:
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i, line = next(genline)
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match = dataline.fullmatch(line)
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if not match:
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break
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return _, line
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if '*' in match.group('typefield'):
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num,typename = match.group('typefield').split('*')
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@ -134,15 +134,14 @@ def parse_tlv(genline, output, name, option):
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if line != '2. types:':
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raise ValueError('{}: Expected "2. types:" line'.format(i))
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while True:
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_, line = next(genline)
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while True:
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# Inside tlv, types are indented.
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match = typeline.fullmatch(line.lstrip())
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if not match:
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break
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parse_type(genline, output, match.group('name'), match.group('value'), match.group('option'), name)
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_, line = parse_type(genline, output, match.group('name'), match.group('value'), match.group('option'), name)
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# 1. subtype: `input_info`
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