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DOI:
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support gcloud
Browse files- quakeflow_nc.py +11 -4
quakeflow_nc.py
CHANGED
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@@ -167,6 +167,9 @@ class QuakeFlow_NC(datasets.GeneratorBasedBuilder):
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):
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features = datasets.Features(
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{
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"waveform": datasets.Array2D(shape=(3, self.nt), dtype="float32"),
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"phase_time": datasets.Sequence(datasets.Value("string")),
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"phase_index": datasets.Sequence(datasets.Value("int32")),
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@@ -183,6 +186,7 @@ class QuakeFlow_NC(datasets.GeneratorBasedBuilder):
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elif (self.config.name == "event") or (self.config.name == "event_train") or (self.config.name == "event_test"):
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features = datasets.Features(
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{
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"waveform": datasets.Array3D(shape=(None, 3, self.nt), dtype="float32"),
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"phase_time": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
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"phase_index": datasets.Sequence(datasets.Sequence(datasets.Value("int32"))),
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@@ -224,10 +228,13 @@ class QuakeFlow_NC(datasets.GeneratorBasedBuilder):
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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urls = _URLS[self.config.name]
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# files = dl_manager.download(urls)
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if self.config.name == "station" or self.config.name == "event":
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return [
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):
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features = datasets.Features(
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{
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"id": datasets.Value("string"),
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"event_id": datasets.Value("string"),
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"station_id": datasets.Value("string"),
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"waveform": datasets.Array2D(shape=(3, self.nt), dtype="float32"),
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"phase_time": datasets.Sequence(datasets.Value("string")),
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"phase_index": datasets.Sequence(datasets.Value("int32")),
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elif (self.config.name == "event") or (self.config.name == "event_train") or (self.config.name == "event_test"):
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features = datasets.Features(
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{
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"event_id": datasets.Value("string"),
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"waveform": datasets.Array3D(shape=(None, 3, self.nt), dtype="float32"),
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"phase_time": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
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"phase_index": datasets.Sequence(datasets.Sequence(datasets.Value("int32"))),
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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urls = _URLS[self.config.name]
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# files = dl_manager.download(urls)
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if "bucket" not in self.storage_options:
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files = dl_manager.download_and_extract(urls)
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else:
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files = [f"{self.storage_options['bucket']}/{x}" for x in _FILES]
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# files = [f"/nfs/quakeflow_dataset/NC/quakeflow_nc/waveform_h5/{x}" for x in _FILES][-3:]
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print("Files:\n", "\n".join(sorted(files)))
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print(self.storage_options)
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if self.config.name == "station" or self.config.name == "event":
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return [
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