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mariosasko commited on
Commit
b89324d
1 Parent(s): 059cb70

Make script parallelizable

Browse files
Files changed (1) hide show
  1. quickdraw.py +6 -4
quickdraw.py CHANGED
@@ -246,6 +246,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
246
  files = dl_manager.download(
247
  {name: url for name, url in zip(_NAMES, [base_url.format(name) for name in _NAMES])}
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  )
 
249
  return [
250
  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
@@ -259,6 +260,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
259
  files = dl_manager.download_and_extract(
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  {name: url for name, url in zip(_NAMES, [base_url.format(name) for name in _NAMES])}
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  )
 
262
  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
@@ -286,7 +288,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
286
  def _generate_examples(self, files, split):
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  if self.config.name == "raw":
288
  idx = 0
289
- for _, file in files.items():
290
  with open(file, encoding="utf-8") as f:
291
  for line in f:
292
  example = json.loads(line)
@@ -296,7 +298,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
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  idx += 1
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  elif self.config.name == "preprocessed_simplified_drawings":
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  idx = 0
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- for label, file in files.items():
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  with open(file, "rb") as f:
301
  while True:
302
  try:
@@ -308,7 +310,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
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  idx += 1
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  elif self.config.name == "preprocessed_bitmaps":
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  idx = 0
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- for label, file in files.items():
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  with open(file, "rb") as f:
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  images = np.load(f)
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  for image in images:
@@ -319,7 +321,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
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  idx += 1
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  else: # sketch_rnn, sketch_rnn_full
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  idx = 0
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- for label, file in files.items():
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  with open(os.path.join(file, f"{split}.npy"), "rb") as f:
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  # read entire file since f.seek is not supported in the streaming mode
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  drawings = np.load(io.BytesIO(f.read()), encoding="latin1", allow_pickle=True)
 
246
  files = dl_manager.download(
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  {name: url for name, url in zip(_NAMES, [base_url.format(name) for name in _NAMES])}
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  )
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+ files = [(name, file) for name, file in files.items()]
250
  return [
251
  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
 
260
  files = dl_manager.download_and_extract(
261
  {name: url for name, url in zip(_NAMES, [base_url.format(name) for name in _NAMES])}
262
  )
263
+ files = [(name, file) for name, file in files.items()]
264
  return [
265
  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
 
288
  def _generate_examples(self, files, split):
289
  if self.config.name == "raw":
290
  idx = 0
291
+ for _, file in files:
292
  with open(file, encoding="utf-8") as f:
293
  for line in f:
294
  example = json.loads(line)
 
298
  idx += 1
299
  elif self.config.name == "preprocessed_simplified_drawings":
300
  idx = 0
301
+ for label, file in files:
302
  with open(file, "rb") as f:
303
  while True:
304
  try:
 
310
  idx += 1
311
  elif self.config.name == "preprocessed_bitmaps":
312
  idx = 0
313
+ for label, file in files:
314
  with open(file, "rb") as f:
315
  images = np.load(f)
316
  for image in images:
 
321
  idx += 1
322
  else: # sketch_rnn, sketch_rnn_full
323
  idx = 0
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+ for label, file in files:
325
  with open(os.path.join(file, f"{split}.npy"), "rb") as f:
326
  # read entire file since f.seek is not supported in the streaming mode
327
  drawings = np.load(io.BytesIO(f.read()), encoding="latin1", allow_pickle=True)