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Method __init__

tensorpack/dataflow/common.py:235–257  ·  view source on GitHub ↗

Args: ds (DataFlow): input dataflow size (int): size keep_state (bool): keep the iterator state of ``ds`` between calls to :meth:`__iter__()`, so that the next call will continue the previous iteration over ``ds``,

(self, ds, size, keep_state=True)

Source from the content-addressed store, hash-verified

233 """ Generate data from another DataFlow, but with a fixed total count.
234 """
235 def __init__(self, ds, size, keep_state=True):
236 """
237 Args:
238 ds (DataFlow): input dataflow
239 size (int): size
240 keep_state (bool): keep the iterator state of ``ds``
241 between calls to :meth:`__iter__()`, so that the
242 next call will continue the previous iteration over ``ds``,
243 instead of reinitializing an iterator.
244
245 Example:
246
247 .. code-block:: none
248
249 ds produces: 1, 2, 3, 4, 5; 1, 2, 3, 4, 5; ...
250 FixedSizeData(ds, 3, True): 1, 2, 3; 4, 5, 1; 2, 3, 4; ...
251 FixedSizeData(ds, 3, False): 1, 2, 3; 1, 2, 3; ...
252 FixedSizeData(ds, 6, False): 1, 2, 3, 4, 5, 1; 1, 2, 3, 4, 5, 1;...
253 """
254 super(FixedSizeData, self).__init__(ds)
255 self._size = int(size)
256 self.itr = None
257 self._keep = keep_state
258
259 def __len__(self):
260 return self._size

Callers

nothing calls this directly

Calls 1

__init__Method · 0.45

Tested by

no test coverage detected