The source code and dockerfile for the GSW2024 AI Lab.
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from __future__ import annotations
import re
# stolen from python docs
def trim(docstring):
if not docstring:
return ""
# Convert tabs to spaces (following the normal Python rules)
# and split into a list of lines:
lines = docstring.expandtabs().splitlines()
# Determine minimum indentation (first line doesn't count):
indent = 232323
for line in lines[1:]:
stripped = line.lstrip()
if stripped:
indent = min(indent, len(line) - len(stripped))
# Remove indentation (first line is special):
trimmed = [lines[0].strip()]
if indent < 232323:
for line in lines[1:]:
trimmed.append(line[indent:].rstrip())
# Strip off trailing and leading blank lines:
while trimmed and not trimmed[-1]:
trimmed.pop()
while trimmed and not trimmed[0]:
trimmed.pop(0)
# Return a single string:
return "\n".join(trimmed)
def env_name_format(str):
# KeyCorridorEnv
split = re.findall(r"[A-Z](?:[a-z]+|[A-Z]*(?=[A-Z]|$))", str)
# ['Key', 'Corridor', 'Env']
split = filter(lambda x: x.upper() != "ENV", split)
return " ".join(split)