Download pool/shard009/Python/0080358_base.py from Variable-role/sajaniemi_variable_dataset_large: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/pool/shard009/Python/0080358_base.py
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hf download hf://datasets/Variable-role/sajaniemi_variable_dataset_large/pool/shard009/Python/0080358_base.py
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curl -L -o 0080358_base.py https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/pool/shard009/Python/0080358_base.py
1.8 kB
| import os | |
| import shutil | |
| class StreamingDemo(object): | |
| def __init__(self, npoints=50, nbatches=5): | |
| self.npoints = npoints | |
| self.nbatches = nbatches | |
| def params(*args, **kwargs): | |
| """ Get analysis-specific parameters """ | |
| raise NotImplementedError | |
| def run(*args, **kwargs): | |
| """ Run the streaming demo """ | |
| raise NotImplementedError | |
| def make(demoname, *args, **kwargs): | |
| """ Create a streaming demo """ | |
| from mlstreaming.kmeans import StreamingKMeans | |
| DEMOS = { | |
| 'kmeans': StreamingKMeans | |
| } | |
| return DEMOS[demoname](*args, **kwargs) | |
| def setup(self, path, overwrite=False): | |
| """ Setup paths for a streaming demo where temporary data will be read / written""" | |
| if os.path.isdir(path): | |
| if overwrite: | |
| shutil.rmtree(path) | |
| os.mkdir(path) | |
| else: | |
| raise Exception('Base directory %s already exists and overwrite is set to False' % path) | |
| else: | |
| os.mkdir(path) | |
| datain = os.path.join(path, 'input') | |
| dataout = os.path.join(path, 'output') | |
| if os.path.isdir(datain): | |
| shutil.rmtree(datain) | |
| if os.path.isdir(dataout): | |
| shutil.rmtree(dataout) | |
| os.mkdir(datain) | |
| os.mkdir(dataout) | |
| self.datain = datain | |
| self.dataout = dataout | |
| return self | |
| def writepoints(self, pts, i): | |
| """ Write data points in a form that can be read by MLlib's vector parser """ | |
| f = file(os.path.join(self.datain, 'batch%g.txt' % i), 'w') | |
| s = map(lambda p: ",".join(str(p).split()).replace('[,', '[').replace(',]', ']'), pts) | |
| tmp = "\n".join(s) | |
| f.write(tmp) | |
| f.close() | |