oo-method-test.py

#!/usr/bin/python

import datasets

_DATA_FILES = ['data/combined-00009-of-00013-97a88bccf4215954.parquet',
 'data/combined-00004-of-00013-119d653561443d7b.parquet',
 'data/combined-00007-of-00013-ab54cce4ee6331d0.parquet',
 'data/combined-00002-of-00013-149f5d0d22fe8f52.parquet',
 'data/combined-00003-of-00013-426af6f6064e67dd.parquet',
 'data/combined-00010-of-00013-89d7565c5f0d2e4e.parquet',
 'data/combined-00000-of-00013-36d239509fb9e430.parquet',
 'data/combined-00005-of-00013-363bba92a2b7f737.parquet',
 'data/combined-00006-of-00013-4d4d574c9d87176e.parquet',
 'data/combined-00001-of-00013-d5b44e96ad7d2927.parquet',
 'data/combined-00012-of-00013-84cf41ef75dd5b76.parquet',
 'data/combined-00011-of-00013-4c21766cedd5a4a0.parquet',
 'data/combined-00008-of-00013-674f74b6f2288c61.parquet']

class OOMethodTestDataset(datasets.packaged_modules.parquet.Parquet):
	def __init__(self, *args, **kwargs):
		if 'data_files' not in kwargs or kwargs['data_files'] is None:
			kwargs['data_files'] = _DATA_FILES
		super().__init__(*args, **kwargs)

		# Yuck
		self.config.data_files = _DATA_FILES

	def _split_generators(self, dl_manager, *args, **kwargs):
		files = self.config.data_files
		files = files['train'] # This is hard-coded in the Parquet builder
		downloaded_files = dl_manager.download(files)
		downloaded_files = [dl_manager.iter_files(file) for file in files]

		#print(files)
		#print(downloaded_files)

		return [
            datasets.SplitGenerator(
                name="combined",
                gen_kwargs={
                    "files": downloaded_files,
                },
            ),
        ]