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I've been trying to explicitly generate inline tables for my data. After a bit of hacking, I discovered an interesting solution for v0.3.0:
from qtoml.encoder import TOMLEncoder
from collections import UserDict
hacked_encoder = TOMLEncoder()
hacked_encoder.st[UserDict] = hacked_encoder.dump_itable
data = {
"my_data": {
"inline_value": "this is a scalar",
"inline_table": UserDict(
{"this": "generates", "an"<
5683
/span>: 10, "inline table": True}
),
"separate_table": {"this": "creates", "another table": 42},
}
}
print(hacked_encoder.dump_sections(data, [], False))This yields:
[my_data]
inline_value = 'this is a scalar'
inline_table = { this = 'generates', an = 10, 'inline table' = true }
[my_data.separate_table]
this = 'creates'
'another table' = 42The current implementation of TOMLEncoder.dump_sections() always renders dict as regular tables even if a dumper is assigned to TOMLEncoder.st. Since collections.UserDict is not a subclass of dict, it circumvents this issue.
I know this is fragile and unreliable. However, since qtoml doesn't expose a lot of options for rendering TOML, I thought it was worth sharing.
PS. It would be great to make this a feature by providing a qtoml.InlineTableDict class (which simply subclasses UserDict).
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