dmlc--dgl
73b2668fe2
* DGMG for molecule generation * Fix CI check * Fix for CI * Trial for CI due to shared memory * Update * Better interface for dataset configuration * Update * Handle corner cases * Update README * Fix * Fix * Fix * Fix * Fix * Refactor * Fix * Fix * Fix * Fix * Fix * Fix * Update * Fix * Fix * Fix * Fix * Fix * Finallly
234 行
7.2 KiB
Python
234 行
7.2 KiB
Python
"""Dataset utilities."""
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from __future__ import absolute_import
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import os
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import sys
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import hashlib
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import warnings
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import zipfile
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import tarfile
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import numpy as np
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try:
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import requests
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except ImportError:
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class requests_failed_to_import(object):
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pass
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requests = requests_failed_to_import
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__all__ = ['download', 'check_sha1', 'extract_archive',
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'get_download_dir', 'Subset', 'split_dataset']
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def _get_dgl_url(file_url):
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"""Get DGL online url for download."""
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dgl_repo_url = 'https://s3.us-east-2.amazonaws.com/dgl.ai/'
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repo_url = os.environ.get('DGL_REPO', dgl_repo_url)
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if repo_url[-1] != '/':
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repo_url = repo_url + '/'
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return repo_url + file_url
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def split_dataset(dataset, frac_list=None, shuffle=False, random_state=None):
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from itertools import accumulate
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if frac_list is None:
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frac_list = [0.8, 0.1, 0.1]
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frac_list = np.array(frac_list)
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assert np.allclose(np.sum(frac_list), 1.), \
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'Expect frac_list sum to 1, got {:.4f}'.format(
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np.sum(frac_list))
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num_data = len(dataset)
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lengths = (num_data * frac_list).astype(int)
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lengths[-1] = num_data - np.sum(lengths[:-1])
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if shuffle:
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indices = np.random.RandomState(
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seed=random_state).permutation(num_data)
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else:
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indices = np.arange(num_data)
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return [Subset(dataset, indices[offset - length:offset]) for offset, length in zip(accumulate(lengths), lengths)]
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def download(url, path=None, overwrite=False, sha1_hash=None, retries=5, verify_ssl=True, log=True):
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"""Download a given URL.
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Codes borrowed from mxnet/gluon/utils.py
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Parameters
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----------
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url : str
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URL to download.
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path : str, optional
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Destination path to store downloaded file. By default stores to the
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current directory with the same name as in url.
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overwrite : bool, optional
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Whether to overwrite the destination file if it already exists.
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sha1_hash : str, optional
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Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified
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but doesn't match.
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retries : integer, default 5
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The number of times to attempt downloading in case of failure or non 200 return codes.
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verify_ssl : bool, default True
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Verify SSL certificates.
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log : bool, default True
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Whether to print the progress for download
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Returns
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-------
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str
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The file path of the downloaded file.
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"""
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if path is None:
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fname = url.split('/')[-1]
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# Empty filenames are invalid
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assert fname, 'Can\'t construct file-name from this URL. ' \
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'Please set the `path` option manually.'
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else:
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path = os.path.expanduser(path)
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if os.path.isdir(path):
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fname = os.path.join(path, url.split('/')[-1])
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else:
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fname = path
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assert retries >= 0, "Number of retries should be at least 0"
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if not verify_ssl:
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warnings.warn(
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'Unverified HTTPS request is being made (verify_ssl=False). '
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'Adding certificate verification is strongly advised.')
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if overwrite or not os.path.exists(fname) or (sha1_hash and not check_sha1(fname, sha1_hash)):
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dirname = os.path.dirname(os.path.abspath(os.path.expanduser(fname)))
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if not os.path.exists(dirname):
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os.makedirs(dirname)
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while retries+1 > 0:
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# Disable pyling too broad Exception
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# pylint: disable=W0703
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try:
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if log:
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print('Downloading %s from %s...' % (fname, url))
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r = requests.get(url, stream=True, verify=verify_ssl)
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if r.status_code != 200:
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raise RuntimeError("Failed downloading url %s" % url)
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with open(fname, 'wb') as f:
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for chunk in r.iter_content(chunk_size=1024):
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if chunk: # filter out keep-alive new chunks
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f.write(chunk)
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if sha1_hash and not check_sha1(fname, sha1_hash):
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raise UserWarning('File {} is downloaded but the content hash does not match.'
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' The repo may be outdated or download may be incomplete. '
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'If the "repo_url" is overridden, consider switching to '
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'the default repo.'.format(fname))
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break
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except Exception as e:
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retries -= 1
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if retries <= 0:
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raise e
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else:
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if log:
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print("download failed, retrying, {} attempt{} left"
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.format(retries, 's' if retries > 1 else ''))
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return fname
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def check_sha1(filename, sha1_hash):
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"""Check whether the sha1 hash of the file content matches the expected hash.
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Codes borrowed from mxnet/gluon/utils.py
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Parameters
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----------
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filename : str
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Path to the file.
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sha1_hash : str
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Expected sha1 hash in hexadecimal digits.
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Returns
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-------
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bool
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Whether the file content matches the expected hash.
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"""
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sha1 = hashlib.sha1()
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with open(filename, 'rb') as f:
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while True:
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data = f.read(1048576)
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if not data:
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break
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sha1.update(data)
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return sha1.hexdigest() == sha1_hash
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def extract_archive(file, target_dir):
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"""Extract archive file.
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Parameters
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----------
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file : str
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Absolute path of the archive file.
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target_dir : str
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Target directory of the archive to be uncompressed.
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"""
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if os.path.exists(target_dir):
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return
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if file.endswith('.gz') or file.endswith('.tar') or file.endswith('.tgz'):
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archive = tarfile.open(file, 'r')
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elif file.endswith('.zip'):
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archive = zipfile.ZipFile(file, 'r')
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else:
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raise Exception('Unrecognized file type: ' + file)
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print('Extracting file to {}'.format(target_dir))
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archive.extractall(path=target_dir)
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archive.close()
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def get_download_dir():
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"""Get the absolute path to the download directory.
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Returns
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-------
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dirname : str
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Path to the download directory
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"""
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default_dir = os.path.join(os.path.expanduser('~'), '.dgl')
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dirname = os.environ.get('DGL_DOWNLOAD_DIR', default_dir)
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if not os.path.exists(dirname):
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os.makedirs(dirname)
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return dirname
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class Subset(object):
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"""Subset of a dataset at specified indices
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Code adapted from PyTorch.
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Parameters
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----------
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dataset
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dataset[i] should return the ith datapoint
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indices : list
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List of datapoint indices to construct the subset
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"""
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def __init__(self, dataset, indices):
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self.dataset = dataset
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self.indices = indices
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def __getitem__(self, item):
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"""Get the datapoint indexed by item
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Returns
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-------
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tuple
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datapoint
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"""
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return self.dataset[self.indices[item]]
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def __len__(self):
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"""Get subset size
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Returns
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-------
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int
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Number of datapoints in the subset
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"""
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return len(self.indices)
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