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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FeatureEnVi/backend/venv/lib/python3.7/site-packages/click/_textwrap.py

38 lines
1.2 KiB

import textwrap
from contextlib import contextmanager
class TextWrapper(textwrap.TextWrapper):
def _handle_long_word(self, reversed_chunks, cur_line, cur_len, width):
space_left = max(width - cur_len, 1)
if self.break_long_words:
last = reversed_chunks[-1]
cut = last[:space_left]
res = last[space_left:]
cur_line.append(cut)
reversed_chunks[-1] = res
elif not cur_line:
cur_line.append(reversed_chunks.pop())
@contextmanager
def extra_indent(self, indent):
old_initial_indent = self.initial_indent
old_subsequent_indent = self.subsequent_indent
self.initial_indent += indent
self.subsequent_indent += indent
try:
yield
finally:
self.initial_indent = old_initial_indent
self.subsequent_indent = old_subsequent_indent
def indent_only(self, text):
rv = []
for idx, line in enumerate(text.splitlines()):
indent = self.initial_indent
if idx > 0:
indent = self.subsequent_indent
rv.append(indent + line)
return '\n'.join(rv)