# Path: featureflow/util.py
# def chunked(f, chunksize=4096):
#     data = f.read(chunksize)
#     while data:
#         yield data
#         data = f.read(chunksize)
# 
# Path: featureflow/extractor.py
# class Node(object):
#     def __init__(self, needs=None):
#         super(Node, self).__init__()
#         if not inspect.isgeneratorfunction(self._process):
#             raise InvalidProcessMethod(self.__class__)
# 
#         self._cache = None
#         self._listeners = []
# 
#         self._needs = dictify(needs)
#         self._dependecy_names = dict(
#             (id(v), k) for k, v in list(self._needs.items()))
# 
#         for n in self.dependencies:
#             n.add_listener(self)
# 
#         self._finalized_dependencies = set()
#         self._enqueued_dependencies = set()
# 
#     @property
#     def dependencies(self):
#         if isinstance(self._needs, dict):
#             return list(self._needs.values())
#         return self._needs
# 
#     def _dependency_name(self, pusher):
#         return self._dependecy_names[id(pusher)]
# 
#     def __repr__(self):
#         return self.__class__.__name__
# 
#     def __str__(self):
#         return self.__repr__()
# 
#     def __enter__(self):
#         return self
# 
#     def __exit__(self, t, value, traceback):
#         pass
# 
#     @property
#     def version(self):
#         return self.__class__.__name__
# 
#     @property
#     def needs(self):
#         return self._needs
# 
#     @property
#     def dependency_count(self):
#         return len(self._needs)
# 
#     @property
#     def is_root(self):
#         return not self._needs
# 
#     @property
#     def is_leaf(self):
#         return not self._listeners
# 
#     def add_listener(self, listener):
#         self._listeners.append(listener)
# 
#     def find_listener(self, predicate):
#         for l in self._listeners:
#             return l if predicate(l) else l.find_listener(predicate)
#         return None
# 
#     def disconnect(self):
#         for e in self.dependencies:
#             try:
#                 e._listeners.remove(self)
#             except ValueError:
#                 pass
# 
#     def _enqueue(self, data, pusher):
#         self._cache = data
# 
#     def _dequeue(self):
#         if self._cache is None:
#             raise NotEnoughData()
# 
#         v, self._cache = self._cache, None
#         return v
# 
#     def _process(self, data):
#         yield data
# 
#     def _first_chunk(self, data):
#         return data
# 
#     def _last_chunk(self):
#         return iter(())
# 
#     def _finalize(self, pusher):
#         pass
# 
#     @property
#     def _finalized(self):
#         """
#         Return true if all dependencies have informed this node that they'll
#         be sending no more data (by calling _finalize()), and that they have
#         sent at least one batch of data (by calling enqueue())
#         """
#         return \
#             len(self._finalized_dependencies) >= self.dependency_count \
#             and len(self._enqueued_dependencies) >= self.dependency_count
# 
#     def _push(self, data, queue=None):
#         queue.appendleft((
#             id(self),
#             self.process.__name__,
#             {'pusher': self, 'data': data, 'queue': queue}))
# 
#     def _finish(self, pusher=None, queue=None):
#         self._finalize(pusher)
# 
#         if pusher in self.dependencies:
#             self._finalized_dependencies.add(id(pusher))
# 
#         if pusher:
#             return
#         queue.appendleft((
#             id(self),
#             self._finish.__name__,
#             {'pusher': self, 'queue': queue}))
# 
#     def process(self, data=None, pusher=None, queue=None):
#         if data is not None:
#             self._enqueued_dependencies.add(id(pusher))
#             self._enqueue(data, pusher)
# 
#         try:
#             inp = self._dequeue()
#             inp = self._first_chunk(inp)
#             self._first_chunk = lambda x: x
#             for d in self._process(inp):
#                 yield self._push(d, queue=queue)
#         except NotEnoughData:
#             yield None
# 
#         if self.is_root or self._finalized:
#             for chunk in self._last_chunk():
#                 yield self._push(chunk, queue=queue)
#             self._finish(pusher=None, queue=queue)
#             self._push(None, queue=queue)
#             yield None


import json
import bz2
from .util import chunked
from .extractor import Node
from dill import loads
from io import StringIO
        return json.loads(s)

    def __iter__(self, flo):
        yield self(flo)


class PickleDecoder(GreedyDecoder):
    def __init__(self):
        super(PickleDecoder, self).__init__()

    def __call__(self, flo):
        return loads(flo.read())

    def __iter__(self, flo):
        yield self(flo)


class BZ2Decoder(Decoder):
    """
    A decoder that decompresses data using the bz2 compression algorithm
    """

    def __init__(self):
        super(BZ2Decoder, self).__init__()

    def __call__(self, flo):
        return self.__iter__(flo)

    def __iter__(self, flo):
        decompressor = bz2.BZ2Decompressor()

# Path: featureflow/util.py
# def chunked(f, chunksize=4096):
#     data = f.read(chunksize)
#     while data:
#         yield data
#         data = f.read(chunksize)
# 
# Path: featureflow/extractor.py
# class Node(object):
#     def __init__(self, needs=None):
#         super(Node, self).__init__()
#         if not inspect.isgeneratorfunction(self._process):
#             raise InvalidProcessMethod(self.__class__)
# 
#         self._cache = None
#         self._listeners = []
# 
#         self._needs = dictify(needs)
#         self._dependecy_names = dict(
#             (id(v), k) for k, v in list(self._needs.items()))
# 
#         for n in self.dependencies:
#             n.add_listener(self)
# 
#         self._finalized_dependencies = set()
#         self._enqueued_dependencies = set()
# 
#     @property
#     def dependencies(self):
#         if isinstance(self._needs, dict):
#             return list(self._needs.values())
#         return self._needs
# 
#     def _dependency_name(self, pusher):
#         return self._dependecy_names[id(pusher)]
# 
#     def __repr__(self):
#         return self.__class__.__name__
# 
#     def __str__(self):
#         return self.__repr__()
# 
#     def __enter__(self):
#         return self
# 
#     def __exit__(self, t, value, traceback):
#         pass
# 
#     @property
#     def version(self):
#         return self.__class__.__name__
# 
#     @property
#     def needs(self):
#         return self._needs
# 
#     @property
#     def dependency_count(self):
#         return len(self._needs)
# 
#     @property
#     def is_root(self):
#         return not self._needs
# 
#     @property
#     def is_leaf(self):
#         return not self._listeners
# 
#     def add_listener(self, listener):
#         self._listeners.append(listener)
# 
#     def find_listener(self, predicate):
#         for l in self._listeners:
#             return l if predicate(l) else l.find_listener(predicate)
#         return None
# 
#     def disconnect(self):
#         for e in self.dependencies:
#             try:
#                 e._listeners.remove(self)
#             except ValueError:
#                 pass
# 
#     def _enqueue(self, data, pusher):
#         self._cache = data
# 
#     def _dequeue(self):
#         if self._cache is None:
#             raise NotEnoughData()
# 
#         v, self._cache = self._cache, None
#         return v
# 
#     def _process(self, data):
#         yield data
# 
#     def _first_chunk(self, data):
#         return data
# 
#     def _last_chunk(self):
#         return iter(())
# 
#     def _finalize(self, pusher):
#         pass
# 
#     @property
#     def _finalized(self):
#         """
#         Return true if all dependencies have informed this node that they'll
#         be sending no more data (by calling _finalize()), and that they have
#         sent at least one batch of data (by calling enqueue())
#         """
#         return \
#             len(self._finalized_dependencies) >= self.dependency_count \
#             and len(self._enqueued_dependencies) >= self.dependency_count
# 
#     def _push(self, data, queue=None):
#         queue.appendleft((
#             id(self),
#             self.process.__name__,
#             {'pusher': self, 'data': data, 'queue': queue}))
# 
#     def _finish(self, pusher=None, queue=None):
#         self._finalize(pusher)
# 
#         if pusher in self.dependencies:
#             self._finalized_dependencies.add(id(pusher))
# 
#         if pusher:
#             return
#         queue.appendleft((
#             id(self),
#             self._finish.__name__,
#             {'pusher': self, 'queue': queue}))
# 
#     def process(self, data=None, pusher=None, queue=None):
#         if data is not None:
#             self._enqueued_dependencies.add(id(pusher))
#             self._enqueue(data, pusher)
# 
#         try:
#             inp = self._dequeue()
#             inp = self._first_chunk(inp)
#             self._first_chunk = lambda x: x
#             for d in self._process(inp):
#                 yield self._push(d, queue=queue)
#         except NotEnoughData:
#             yield None
# 
#         if self.is_root or self._finalized:
#             for chunk in self._last_chunk():
#                 yield self._push(chunk, queue=queue)
#             self._finish(pusher=None, queue=queue)
#             self._push(None, queue=queue)
#             yield None


# Path: featureflow/decoder.py
import json
import bz2
from .util import chunked
from .extractor import Node
from dill import loads
from io import StringIO

        return json.loads(s)

    def __iter__(self, flo):
        yield self(flo)


class PickleDecoder(GreedyDecoder):
    def __init__(self):
        super(PickleDecoder, self).__init__()

    def __call__(self, flo):
        return loads(flo.read())

    def __iter__(self, flo):
        yield self(flo)


class BZ2Decoder(Decoder):
    """
    A decoder that decompresses data using the bz2 compression algorithm
    """

    def __init__(self):
        super(BZ2Decoder, self).__init__()

    def __call__(self, flo):
        return self.__iter__(flo)

    def __iter__(self, flo):
        decompressor = bz2.BZ2Decompressor()

        for chunk in chunked(flo):