FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
https://doi.org/10.1109/TVCG.2022.3141040
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46 lines
924 B
46 lines
924 B
import base64
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import io
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import sys
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if sys.version_info[0] < 3:
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text_type = unicode # noqa: F821
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StringIO = io.BytesIO
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def native(s, encoding='utf-8'):
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if isinstance(s, unicode):
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return s.encode(encoding)
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return s
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else:
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text_type = str
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StringIO = io.StringIO
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def native(s, encoding='utf-8'):
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if isinstance(s, bytes):
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return s.decode(encoding)
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return s
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def urlsafe_b64encode(data):
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"""urlsafe_b64encode without padding"""
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return base64.urlsafe_b64encode(data).rstrip(b'=')
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def urlsafe_b64decode(data):
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"""urlsafe_b64decode without padding"""
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pad = b'=' * (4 - (len(data) & 3))
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return base64.urlsafe_b64decode(data + pad)
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def as_unicode(s):
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if isinstance(s, bytes):
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return s.decode('utf-8')
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return s
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def as_bytes(s):
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if isinstance(s, text_type):
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return s.encode('utf-8')
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return s
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