2acffc3172ec32e173547ee4c39a01b6c94e74a1,distributed/protocol/core.py,,dumps,#Any#Any#Any#Any#,18
Before Change
for key, (head, frames) in data.items():
if "lengths" not in head:
head["lengths"] = tuple(map(nbytes, frames))
if "compression" not in head:
frames = frame_split_size(frames)
if frames:
compression, frames = zip(*map(maybe_compress, frames))
else:
compression = []
head["compression"] = compression
head["count"] = len(frames)
header["headers"][key] = head
header["keys"].append(key)
out_frames.extend(frames)
After Change
// Compress frames that are not yet compressed
out_compression = []
_out_frames = []
for frame, compression in zip(
frames, head.get("compression") or [None] * len(frames)
):
if compression is None: // default behavior
_frames = frame_split_size(frame)
_compression, _frames = zip(*map(maybe_compress, _frames))
out_compression.extend(_compression)
_out_frames.extend(_frames)
else: // already specified, so pass
out_compression.append(compression)
_out_frames.append(frame)
head["compression"] = out_compression
head["count"] = len(_out_frames)
header["headers"][key] = head
header["keys"].append(key)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 7
Instances
Project Name: dask/distributed
Commit Name: 2acffc3172ec32e173547ee4c39a01b6c94e74a1
Time: 2020-03-18
Author: mrocklin@gmail.com
File Name: distributed/protocol/core.py
Class Name:
Method Name: dumps
Project Name: facebookresearch/pythia
Commit Name: 2f337387d6759627bae60284e7fa612268580724
Time: 2020-09-15
Author: vedanujg@gmail.com
File Name: mmf/models/mmf_transformer.py
Class Name: MMFTransformerEmbeddings
Method Name: forward
Project Name: pytorch/pytorch
Commit Name: a0cf5566d88533c5caa7a490beb6eb0760eee9b4
Time: 2021-01-21
Author: wanchaol@users.noreply.github.com
File Name: torch/optim/sgd.py
Class Name: SGD
Method Name: step