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        "description": "# Objectify JSON\n\nMake accessing JSON like data more convenient.\n\n## Features\n\n* Access dict value via dot `.` (`data.a.b.c`).\n* Always return `ObjectifyJSON` type, which holds the data with type of dict, list or any other primitive types.\n* Use `x._data` to get the real data.\n* Always return `ObjectifyJSON(None)` if doesn't exist.\n* An CLI tool named `object` to process JSON data.\n\n## Install\n\n```\npip3 install objectify-json\n```\n\n## Example\n\nSee `test.py`\n\n## Functions to process data in batch\n\n* The return value is always `ObjectifyJOSN` too!\n* The return value of lambda funtions will always be unwrapped to primitive types.\n* Most of the `fn_*` functions accept optional `unwrap` parameter to enable passing the underlying value as primitive types to lambda. Default is False.\n* When used in CLI tool, if it failed getting the property by property name, e.g. `map`, it will retry to get function with prefix `fn_` added to the name. This will simplify writting the CLI command.\n\n### Common\n\nFollowing methods of `ObjectifyJOSN` accept optional `unwrap` to unwrap `ObjectifyJOSN` data to the underlying built-in data, the default value is `False`.\n\n* `fn_map(fn, unwrap=False)`: `map` on the iterator\n* `fn_reduce(fn, initializer=None, unwrap=False)`: `reduce` on the iterator, lambda as the first positional parameter, optional `initializer` parameter will be passed to built-in `reduce`.\n* `fn_lambda(fn, unwrap=False)`: value in-and-out\n* `fn_filter(fn, unwrap=False)`: `filter` on the iterator\n\n### Dict\n\n* `fn_keys()`: Return keys as list.\n* `fn_values()`: Return values as list.\n* `fn_items()`: Return items as list. Element has the type `tuple`, e.g. `(\"key\", \"value\")`.\n* `fn_include_keys(keys)`: Filter dict. Keep the `keys` you give.\n* `fn_exclude_keys(keys)`: Filter dict. Remove the `keys` you give.\n* `fn_filter_by_value(fn)`: Filter dict. Filter by the lambda you give, which accept the value of dict item.\n* `fn_filter_by_kv(fn)`: Filter dict. Filter by the lambda you give, which accept `key` and `value` two variables.\n* `fn_update(key, fn, unwrap=False)`: Update dict value. The lambda you give accept the origin value and return a new value.\n* `fn_items_update(fn, unwrap=False)`: Update dict value. The lambda you give accept `key` and `value` two variables and return a new value.\n* `fn_rename(mapping)`: Update dict key. The `mapping` is a list of two-elements list.\n\n### List\n\n* `fn_sort(fn)`: Sort the list in place. The lambda you give will be passed as `key` argument to the `sort` method of list.\n* `fn_dedup(fn=None, all=True)`: Dedup the elements in list. If `all` if `False`, the duplication will checked by comparing current value between last value, else will compare to all appeared before.\n\n\n",
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