datalad_next.itertools

Various iterators, e.g., for subprocess pipelining and output processing

align_pattern(iterable, pattern)	Yield data chunks that contain a complete pattern, if it is present
decode_bytes(iterable[, encoding, ...])	Decode bytes in an iterable into strings
itemize(iterable, sep, *[, keep_ends])	Yields complete items (only), assembled from an iterable
load_json(iterable)	Convert items yielded by iterable into JSON objects and yield them
load_json_with_flag(iterable)	Convert items from iterable into JSON objects and a success flag
route_out(iterable, data_store, splitter)	Route data around the consumer of this iterable
route_in(iterable, data_store, joiner)	Yield previously rerouted data to the consumer