FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches https://doi.org/10.1109/TVCG.2022.3141040
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 

219 lines
6.3 KiB

# flake8: noqa
# This whole file is full of lint errors
import functools
import operator
import sys
try:
import builtins
except ImportError:
import __builtin__ as builtins
PY2 = sys.version_info[0] == 2
WIN = sys.platform.startswith("win")
_identity = lambda x: x
if PY2:
unichr = unichr
text_type = unicode
string_types = (str, unicode)
integer_types = (int, long)
iterkeys = lambda d, *args, **kwargs: d.iterkeys(*args, **kwargs)
itervalues = lambda d, *args, **kwargs: d.itervalues(*args, **kwargs)
iteritems = lambda d, *args, **kwargs: d.iteritems(*args, **kwargs)
iterlists = lambda d, *args, **kwargs: d.iterlists(*args, **kwargs)
iterlistvalues = lambda d, *args, **kwargs: d.iterlistvalues(*args, **kwargs)
int_to_byte = chr
iter_bytes = iter
import collections as collections_abc
exec("def reraise(tp, value, tb=None):\n raise tp, value, tb")
def fix_tuple_repr(obj):
def __repr__(self):
cls = self.__class__
return "%s(%s)" % (
cls.__name__,
", ".join(
"%s=%r" % (field, self[index])
for index, field in enumerate(cls._fields)
),
)
obj.__repr__ = __repr__
return obj
def implements_iterator(cls):
cls.next = cls.__next__
del cls.__next__
return cls
def implements_to_string(cls):
cls.__unicode__ = cls.__str__
cls.__str__ = lambda x: x.__unicode__().encode("utf-8")
return cls
def native_string_result(func):
def wrapper(*args, **kwargs):
return func(*args, **kwargs).encode("utf-8")
return functools.update_wrapper(wrapper, func)
def implements_bool(cls):
cls.__nonzero__ = cls.__bool__
del cls.__bool__
return cls
from itertools import imap, izip, ifilter
range_type = xrange
from StringIO import StringIO
from cStringIO import StringIO as BytesIO
NativeStringIO = BytesIO
def make_literal_wrapper(reference):
return _identity
def normalize_string_tuple(tup):
"""Normalizes a string tuple to a common type. Following Python 2
rules, upgrades to unicode are implicit.
"""
if any(isinstance(x, text_type) for x in tup):
return tuple(to_unicode(x) for x in tup)
return tup
def try_coerce_native(s):
"""Try to coerce a unicode string to native if possible. Otherwise,
leave it as unicode.
"""
try:
return to_native(s)
except UnicodeError:
return s
wsgi_get_bytes = _identity
def wsgi_decoding_dance(s, charset="utf-8", errors="replace"):
return s.decode(charset, errors)
def wsgi_encoding_dance(s, charset="utf-8", errors="replace"):
if isinstance(s, bytes):
return s
return s.encode(charset, errors)
def to_bytes(x, charset=sys.getdefaultencoding(), errors="strict"):
if x is None:
return None
if isinstance(x, (bytes, bytearray, buffer)):
return bytes(x)
if isinstance(x, unicode):
return x.encode(charset, errors)
raise TypeError("Expected bytes")
def to_native(x, charset=sys.getdefaultencoding(), errors="strict"):
if x is None or isinstance(x, str):
return x
return x.encode(charset, errors)
else:
unichr = chr
text_type = str
string_types = (str,)
integer_types = (int,)
iterkeys = lambda d, *args, **kwargs: iter(d.keys(*args, **kwargs))
itervalues = lambda d, *args, **kwargs: iter(d.values(*args, **kwargs))
iteritems = lambda d, *args, **kwargs: iter(d.items(*args, **kwargs))
iterlists = lambda d, *args, **kwargs: iter(d.lists(*args, **kwargs))
iterlistvalues = lambda d, *args, **kwargs: iter(d.listvalues(*args, **kwargs))
int_to_byte = operator.methodcaller("to_bytes", 1, "big")
iter_bytes = functools.partial(map, int_to_byte)
import collections.abc as collections_abc
def reraise(tp, value, tb=None):
if value.__traceback__ is not tb:
raise value.with_traceback(tb)
raise value
fix_tuple_repr = _identity
implements_iterator = _identity
implements_to_string = _identity
implements_bool = _identity
native_string_result = _identity
imap = map
izip = zip
ifilter = filter
range_type = range
from io import StringIO, BytesIO
NativeStringIO = StringIO
_latin1_encode = operator.methodcaller("encode", "latin1")
def make_literal_wrapper(reference):
if isinstance(reference, text_type):
return _identity
return _latin1_encode
def normalize_string_tuple(tup):
"""Ensures that all types in the tuple are either strings
or bytes.
"""
tupiter = iter(tup)
is_text = isinstance(next(tupiter, None), text_type)
for arg in tupiter:
if isinstance(arg, text_type) != is_text:
raise TypeError(
"Cannot mix str and bytes arguments (got %s)" % repr(tup)
)
return tup
try_coerce_native = _identity
wsgi_get_bytes = _latin1_encode
def wsgi_decoding_dance(s, charset="utf-8", errors="replace"):
return s.encode("latin1").decode(charset, errors)
def wsgi_encoding_dance(s, charset="utf-8", errors="replace"):
if isinstance(s, text_type):
s = s.encode(charset)
return s.decode("latin1", errors)
def to_bytes(x, charset=sys.getdefaultencoding(), errors="strict"):
if x is None:
return None
if isinstance(x, (bytes, bytearray, memoryview)): # noqa
return bytes(x)
if isinstance(x, str):
return x.encode(charset, errors)
raise TypeError("Expected bytes")
def to_native(x, charset=sys.getdefaultencoding(), errors="strict"):
if x is None or isinstance(x, str):
return x
return x.decode(charset, errors)
def to_unicode(
x, charset=sys.getdefaultencoding(), errors="strict", allow_none_charset=False
):
if x is None:
return None
if not isinstance(x, bytes):
return text_type(x)
if charset is None and allow_none_charset:
return x
return x.decode(charset, errors)