{"maintainers":[{"name":"anonymous","email":"jane@cpan.org"}],"keywords":["grep","recursive","recursion","synchronous","nested","map","filter"],"dist-tags":{"latest":"0.4.2"},"author":{"name":"Jane Arc","email":"jane.arc@gsa.gov","url":"http://github.com/janearc"},"description":"Scours arbitrarily-nested objects finding the things you want.","readme":"deep-grep\n=========\n\nToo many haystacks, not enough needles — or, \"when you have a grep,\neverything looks like a list.\"\n\n```javascript\nvar needles = dg.deeply( [\n\tfoo, [\n\t\tbar, baz, [\n\t\t\tbletch, [\n\t\t\t\tqip\n\t\t\t]\n\t\t]\n\t] ], function (t) { if t == qip return t }\n)\n```\n\nusage\n====\n\nFor grep on simple, flat (non-nested) lists:\n\n* `dg.in()`\n  - `dg.in( list, 'value' )` - returns `true` or `false` depending upon\n     whether `list` contains `value`.\n* `dg.all_in()`\n  - `dg.all_in( list_a, list_b )` - returns a list of all values in `list_a`\n   that exist in `list_b`.\n* `dg.unique()`\n  - `dg.unique( list )` - returns all unique values of `list`. Note: flattens.\n* `dg.flatten( )`\n  - `dg.flatten( nested_list )` - returns a list of all the lists contained in\n    `nested_list`, concatenated into a single scope.\n\nFor doing greppy things on nested lists:\n\n```javascript\nvar haystack = [\n\t'zebra', 'lion', [\n\t\t'tiger', 'unicorn', 'emperor penguin'\n\t],\n\t'leprechaun',\n\t'cockerel'\n];\n\nvar needles  = dg.deeply( list, function (t) {\n\tif (new RegExp( ('(unicorn|leprechaun)s?' ).test(t))) return true\n} );\n```\n\nFor more complex data, options are available to you:\n\n```javascript\nvar needles  = dg.deeply( arks['Noah'], function (t) { ... }, {\n\t// Any of these may be defined\n\t//\n\n\t// If items in the provided object have methods, check these methods for\n\t// return values that evaluate as true in the provided function.\n\t//\n\t'check-object-methods': [ 'get_species', 'list_passengers' ],\n\n\t// Provide optionally as argument to calls from check-object-methods, above\n\t//\n\t'object-method-arguments': [ 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