chore: import upstream snapshot with attribution
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Executable
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import os
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import io
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import regex
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import pickle
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import traceback
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import copy
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import datetime
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import dateutil.relativedelta
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import multiprocess
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from multiprocess import Pool
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from typing import Any, Dict, Optional
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from pebble import ProcessPool
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from tqdm import tqdm
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from concurrent.futures import TimeoutError
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from functools import partial
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from timeout_decorator import timeout
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from contextlib import redirect_stdout
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class GenericRuntime:
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GLOBAL_DICT = {}
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LOCAL_DICT = None
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HEADERS = []
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def __init__(self):
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self._global_vars = copy.copy(self.GLOBAL_DICT)
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self._local_vars = copy.copy(self.LOCAL_DICT) if self.LOCAL_DICT else None
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for c in self.HEADERS:
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self.exec_code(c)
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def exec_code(self, code_piece: str) -> None:
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if regex.search(r'(\s|^)?input\(', code_piece):
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# regex.search(r'(\s|^)?os.', code_piece):
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raise RuntimeError()
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exec(code_piece, self._global_vars)
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# TODO: use: https://github.com/shroominic/codebox-api
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# @high safe exec in sandbox
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# byte_code = compile_restricted(
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# code_piece,
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# filename='<inline code>',
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# mode='exec'
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# )
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# print("global vars:", self._global_vars)
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# _print_ = PrintCollector
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# exec(byte_code, {'__builtins__': utility_builtins}, None)
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def eval_code(self, expr: str) -> Any:
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return eval(expr, self._global_vars)
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def inject(self, var_dict: Dict[str, Any]) -> None:
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for k, v in var_dict.items():
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self._global_vars[k] = v
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@property
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def answer(self):
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return self._global_vars['answer']
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class DateRuntime(GenericRuntime):
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GLOBAL_DICT = {
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'datetime': datetime.datetime,
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'timedelta': dateutil.relativedelta.relativedelta,
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'relativedelta': dateutil.relativedelta.relativedelta
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}
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class CustomDict(dict):
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def __iter__(self):
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return list(super().__iter__()).__iter__()
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class ColorObjectRuntime(GenericRuntime):
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GLOBAL_DICT = {'dict': CustomDict}
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class PythonExecutor:
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def __init__(
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self,
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runtime: Optional[Any] = None,
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get_answer_symbol: Optional[str] = None,
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get_answer_expr: Optional[str] = None,
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get_answer_from_stdout: bool = False,
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timeout_length: int = 5,
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) -> None:
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self.runtime = runtime if runtime else GenericRuntime()
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self.answer_symbol = get_answer_symbol
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self.answer_expr = get_answer_expr
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self.get_answer_from_stdout = get_answer_from_stdout
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self.pool = Pool(multiprocess.cpu_count())
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self.timeout_length = timeout_length
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def process_generation_to_code(self, gens: str):
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return [g.strip().split('\n') for g in gens]
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@staticmethod
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def execute(
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code,
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get_answer_from_stdout = None,
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runtime = None,
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answer_symbol = None,
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answer_expr = None,
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timeout_length = 10,
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auto_mode=False
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):
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try:
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if auto_mode:
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if "print(" in code[-1]:
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program_io = io.StringIO()
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with redirect_stdout(program_io):
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timeout(timeout_length)(runtime.exec_code)('\n'.join(code))
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program_io.seek(0)
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result = program_io.read()
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else:
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print(code)
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timeout(timeout_length)(runtime.exec_code)('\n'.join(code[:-1]))
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result = timeout(timeout_length)(runtime.eval_code)(code[-1])
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else:
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if get_answer_from_stdout:
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program_io = io.StringIO()
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with redirect_stdout(program_io):
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timeout(timeout_length)(runtime.exec_code)('\n'.join(code))
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program_io.seek(0)
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result = program_io.read()
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elif answer_symbol:
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timeout(timeout_length)(runtime.exec_code)('\n'.join(code))
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result = runtime._global_vars[answer_symbol]
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elif answer_expr:
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timeout(timeout_length)(runtime.exec_code)('\n'.join(code))
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result = timeout(timeout_length)(runtime.eval_code)(answer_expr)
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else:
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timeout(timeout_length)(runtime.exec_code)('\n'.join(code[:-1]))
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result = timeout(timeout_length)(runtime.eval_code)(code[-1])
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report = "Done"
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str(result)
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pickle.dumps(result) # serialization check
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except:
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result = ''
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report = traceback.format_exc().split('\n')[-2]
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return result, report
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def apply(self, code):
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return self.batch_apply([code])[0]
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@staticmethod
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def truncate(s, max_length=400):
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half = max_length // 2
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if len(s) > max_length:
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s = s[:half] + "..." + s[-half:]
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return s
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def batch_apply(self, batch_code):
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all_code_snippets = self.process_generation_to_code(batch_code)
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timeout_cnt = 0
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all_exec_results = []
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# with ProcessPool(max_workers=min(len(all_code_snippets), os.cpu_count())) as pool:
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with ProcessPool(max_workers=min(len(all_code_snippets), 1)) as pool:
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executor = partial(
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self.execute,
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get_answer_from_stdout=self.get_answer_from_stdout,
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runtime=self.runtime,
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answer_symbol=self.answer_symbol,
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answer_expr=self.answer_expr,
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timeout_length=self.timeout_length, # this timeout not work
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auto_mode=True
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)
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future = pool.map(executor, all_code_snippets, timeout=self.timeout_length)
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iterator = future.result()
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if len(all_code_snippets) > 100:
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progress_bar = tqdm(total=len(all_code_snippets), desc="Execute")
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else:
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progress_bar = None
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while True:
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try:
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result = next(iterator)
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all_exec_results.append(result)
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except StopIteration:
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break
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except TimeoutError as error:
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print(error)
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all_exec_results.append(("", "Timeout Error"))
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timeout_cnt += 1
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except Exception as error:
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print(error)
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exit()
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if progress_bar is not None:
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progress_bar.update(1)
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if progress_bar is not None:
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progress_bar.close()
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batch_results = []
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for code, (res, report) in zip(all_code_snippets, all_exec_results):
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# post processing
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res, report = str(res).strip(), str(report).strip()
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res, report = self.truncate(res), self.truncate(report)
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batch_results.append((res, report))
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return batch_results
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def _test():
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batch_code = [
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"""
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from sympy import Matrix
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def null_space_basis():
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# Define the matrix
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A = Matrix([[3, 3, -1, -6], [9, -1, -8, -1], [7, 4, -2, -9]])
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# Compute the basis for the null space
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basis = A.nullspace()
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# Round the elements of the basis vectors to three decimal places
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basis_rounded = [v.evalf(3) for v in basis]
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return basis_rounded
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result = null_space_basis()
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print(result)
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"""
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]
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executor = PythonExecutor(get_answer_from_stdout=True)
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predictions = executor.apply(batch_code[0])
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print(predictions)
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if __name__ == '__main__':
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_test()
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