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Formats/Text and data

TOML configuration files, the format of Cargo and pyproject. 124 formats it can become, 175 that become it.

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TOML becomes.

Every path the planner knows from a TOML, the common ones first. One hop is a single engine. More hops go through another format on the way.

124 targets

JSONonefidelity 0.951 hop~100 msHTMLonefidelity 0.762 hops~400 msMDonefidelity 0.762 hops~300 msTXTonefidelity 0.683 hops~500 msCSVonefidelity 0.801 hop~100 msTSVmanyfidelity 0.863 hops~1.2 sJSONLonefidelity 0.951 hop~100 msSRTonefidelity 0.635 hops~4.5 sVTTonefidelity 0.635 hops~4.5 sYAMLonefidelity 0.951 hop~100 msXMLonefidelity 0.851 hop~100 msASSonefidelity 0.635 hops~4.5 sLRConefidelity 0.515 hops~4.5 sSQLITEonefidelity 0.902 hops~600 msPARQUETonefidelity 0.902 hops~600 msICSonefidelity 0.902 hops~300 ms

Becomes TOML.

Every format that can be turned into a TOML.

175 sources

JSONonefidelity 0.851 hop~100 msHTMLmanyfidelity 0.774 hops~2.1 sMDonefidelity 0.773 hops~1.3 sTXTmanyfidelity 0.695 hops~2.4 sCSVonefidelity 0.812 hops~200 msTSVonefidelity 0.812 hops~200 msJSONLonefidelity 0.812 hops~200 msSRTonefidelity 0.852 hops~250 msVTTonefidelity 0.852 hops~250 msYAMLonefidelity 0.851 hop~100 msXMLonefidelity 0.851 hop~100 msASSonefidelity 0.813 hops~450 msLRConefidelity 0.813 hops~450 msSQLITEmanyfidelity 0.812 hops~700 msPARQUETonefidelity 0.812 hops~600 msICSonefidelity 0.722 hops~200 ms

Two commands.

cv targets answers this page for any file. cv convert runs any row above.

~/filescv 0.1
$ cv targets --from toml
toml ->
  json     one   fidelity 0.95  hops 1  ~100 ms
  html     one   fidelity 0.76  hops 2  ~400 ms
  md       one   fidelity 0.76  hops 2  ~300 ms
  txt      one   fidelity 0.68  hops 3  ~500 ms
$ cv convert file.toml file.json
file.json -> file.json