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JSON Lines. JSON Lines, one JSON object per line, the format of logs and datasets. 124 formats it can become, 175 that become it.

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JSONL becomes.

Every path the planner knows from a JSONL, 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 msHTMLmanyfidelity 0.863 hops~1.4 sMDmanyfidelity 0.863 hops~1.3 sTXTmanyfidelity 0.774 hops~1.5 sCSVmanyfidelity 0.902 hops~1.1 sTSVmanyfidelity 0.902 hops~1.1 sSRTonefidelity 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 0.951 hop~500 msPARQUETonefidelity 0.951 hop~500 msICSonefidelity 0.951 hop~200 msVCFonefidelity 0.951 hop~200 ms

Becomes JSONL.

Every format that can be turned into a JSONL.

175 sources

JSONonefidelity 0.951 hop~100 msHTMLonefidelity 0.813 hops~1.0 sMDonefidelity 0.853 hops~1.3 sTXTonefidelity 0.734 hops~1.2 sCSVonefidelity 0.951 hop~100 msTSVonefidelity 0.951 hop~100 msSRTonefidelity 1.001 hop~150 msVTTonefidelity 1.001 hop~150 msYAMLonefidelity 0.951 hop~100 msXMLonefidelity 0.951 hop~100 msASSonefidelity 0.952 hops~350 msLRConefidelity 0.952 hops~350 msSQLITEmanyfidelity 0.951 hop~600 msPARQUETonefidelity 0.951 hop~500 msICSonefidelity 0.851 hop~100 msVCFonefidelity 0.851 hop~100 ms

Two commands.

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

~/filescv 0.1
$ cv targets --from jsonl
jsonl ->
  json     one   fidelity 0.95  hops 1  ~100 ms
  html     many  fidelity 0.86  hops 3  ~1.4 s
  md       many  fidelity 0.86  hops 3  ~1.3 s
  txt      many  fidelity 0.77  hops 4  ~1.5 s
$ cv convert file.jsonl file.json
file.json -> file.json