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One good test case would be JSON::Tiny parsing Panda's projects.json. Panda includes a projects.json.bootstrap which is a very small subset of this, and downloads the full sized version separately.
The full Panda projects.json file is fairly whitespace-compressed; if you need a large file of pretty-printed JSON to optimize whitespace-heavy parsing, the perl6-bench timing function produces these.
The text was updated successfully, but these errors were encountered:
JSON::Fast has basically taken over from JSON::Tiny. Created as a faster drop-in replacement for JSON::Tiny, it has had several iterations of speed improvements itself. So I guess it is safe to close this issue now.
One good test case would be JSON::Tiny parsing Panda's projects.json. Panda includes a projects.json.bootstrap which is a very small subset of this, and downloads the full sized version separately.
The full Panda projects.json file is fairly whitespace-compressed; if you need a large file of pretty-printed JSON to optimize whitespace-heavy parsing, the perl6-bench timing function produces these.
The text was updated successfully, but these errors were encountered: