csv-ih

--csv-ihv1.0.0

CSV file parser without implicit header row

Universalfile

$ cat input.txt | jc-rs --csv-ih

A real pair

From the reference corpus (generic/csv_ih-jagged.json). The left pane is the input the fixture ships; the right pane is the corpus's expected JSON. CI compares jc-rs with it field by field under the published differential. Hover a value to see where it came from.

csv_ihgeneric

"The quick, brown fox", "jumps"
"The quick, brown fox", "jumps", "over the lazy"
"The quick, brown fox"

The quick, brown fox, jumps, over the lazy, dog

expected outputjson

[
  {
    "c0": "The quick, brown fox",
    "c1": "jumps"
  },
  {
    "c0": "The quick, brown fox",
    "c1": "jumps",
    "c2": "over the lazy"
  },
  {
    "c0": "The quick, brown fox"
  },
  {
    "c0": "The quick",
    "c1": "brown fox",
    "c2": "jumps",
    "c3": "over the lazy",
    "c4": "dog"
  }
]

Fixture coverage

2/2oracle-valid pairs match under the published structural JSON comparison

Magic syntax

not availableThis parser reads a file or a string rather than a command, so there is nothing for jc-rs to run. Pipe it in.

Source: crates/jc-rs-parsers/src/format/csv_ih.rs. jc-rs targets the schemas defined by the original Python tool. Fixture coverage above is the measured evidence for this parser; test the inputs your pipeline depends on. Compare