The complaints about yaml’s quirks (no evaluating to false, implicit strings, weird number formats, etc.) are valid in theory but I’ve never encountered them causing any real-life issues.
no doesn’t become false, it becomes Norway, and when converted to a boolean, Norway is true. The reason’s because one on YAML’s native types is an ISO country code enum, and if you tell a compliant YAML implementation to load a file without giving it a schema, that type has higher priority than string. If you then call a function that converts from native type to string, it expands the country code to the country name, and a function that coerces to boolean makes country codes true.
The problem’s easy to avoid, though. You can just specify a schema, or use a function that grabs a string/bool directly instead of going via the assumed type first.
The real problem with YAML is how many implementations are a long way from being conformant, and load things differently to each other, but that situation’s been improving.
The complaints about yaml’s quirks (
no
evaluating tofalse
, implicit strings, weird number formats, etc.) are valid in theory but I’ve never encountered them causing any real-life issues.no
doesn’t becomefalse
, it becomesNorway
, and when converted to a boolean, Norway is true. The reason’s because one on YAML’s native types is an ISO country code enum, and if you tell a compliant YAML implementation to load a file without giving it a schema, that type has higher priority than string. If you then call a function that converts from native type to string, it expands the country code to the country name, and a function that coerces to boolean makes country codes true.The problem’s easy to avoid, though. You can just specify a schema, or use a function that grabs a string/bool directly instead of going via the assumed type first.
The real problem with YAML is how many implementations are a long way from being conformant, and load things differently to each other, but that situation’s been improving.