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import sys |
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import os |
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import os.path as op |
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import tempfile |
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from subprocess import Popen, check_output, PIPE, STDOUT, CalledProcessError |
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import pickle |
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from contextlib import contextmanager |
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from concurrent.futures import ProcessPoolExecutor |
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import psutil |
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from cloudpickle import dumps |
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from subprocess import TimeoutExpired |
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loads = pickle.loads |
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TIMEOUT = 60 |
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TEST_GLOBALS = "a test value" |
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def make_local_function(): |
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def g(x): |
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assert TEST_GLOBALS == "a test value" |
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return sum(range(10)) |
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return g |
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def _make_cwd_env(): |
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"""Helper to prepare environment for the child processes""" |
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cloudpickle_repo_folder = op.normpath(op.join(op.dirname(__file__), "..")) |
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env = os.environ.copy() |
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pythonpath = "{src}{sep}tests{pathsep}{src}".format( |
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src=cloudpickle_repo_folder, sep=os.sep, pathsep=os.pathsep |
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) |
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env["PYTHONPATH"] = pythonpath |
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return cloudpickle_repo_folder, env |
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def subprocess_pickle_string(input_data, protocol=None, timeout=TIMEOUT, add_env=None): |
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"""Retrieve pickle string of an object generated by a child Python process |
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Pickle the input data into a buffer, send it to a subprocess via |
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stdin, expect the subprocess to unpickle, re-pickle that data back |
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and send it back to the parent process via stdout for final unpickling. |
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>>> testutils.subprocess_pickle_string([1, 'a', None], protocol=2) |
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b'\x80\x02]q\x00(K\x01X\x01\x00\x00\x00aq\x01Ne.' |
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""" |
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cmd = [sys.executable, "-W ignore", __file__, "--protocol", str(protocol)] |
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cwd, env = _make_cwd_env() |
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if add_env: |
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env.update(add_env) |
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proc = Popen( |
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cmd, stdin=PIPE, stdout=PIPE, stderr=PIPE, cwd=cwd, env=env, bufsize=4096 |
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) |
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pickle_string = dumps(input_data, protocol=protocol) |
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try: |
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comm_kwargs = {} |
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comm_kwargs["timeout"] = timeout |
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out, err = proc.communicate(pickle_string, **comm_kwargs) |
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if proc.returncode != 0 or len(err): |
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message = "Subprocess returned %d: " % proc.returncode |
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message += err.decode("utf-8") |
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raise RuntimeError(message) |
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return out |
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except TimeoutExpired as e: |
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proc.kill() |
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out, err = proc.communicate() |
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message = "\n".join([out.decode("utf-8"), err.decode("utf-8")]) |
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raise RuntimeError(message) from e |
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def subprocess_pickle_echo(input_data, protocol=None, timeout=TIMEOUT, add_env=None): |
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"""Echo function with a child Python process |
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Pickle the input data into a buffer, send it to a subprocess via |
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stdin, expect the subprocess to unpickle, re-pickle that data back |
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and send it back to the parent process via stdout for final unpickling. |
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>>> subprocess_pickle_echo([1, 'a', None]) |
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[1, 'a', None] |
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""" |
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out = subprocess_pickle_string( |
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input_data, protocol=protocol, timeout=timeout, add_env=add_env |
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) |
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return loads(out) |
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def _read_all_bytes(stream_in, chunk_size=4096): |
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all_data = b"" |
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while True: |
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data = stream_in.read(chunk_size) |
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all_data += data |
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if len(data) < chunk_size: |
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break |
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return all_data |
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def pickle_echo(stream_in=None, stream_out=None, protocol=None): |
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"""Read a pickle from stdin and pickle it back to stdout""" |
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if stream_in is None: |
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stream_in = sys.stdin |
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if stream_out is None: |
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stream_out = sys.stdout |
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if hasattr(stream_in, "buffer"): |
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stream_in = stream_in.buffer |
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if hasattr(stream_out, "buffer"): |
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stream_out = stream_out.buffer |
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input_bytes = _read_all_bytes(stream_in) |
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stream_in.close() |
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obj = loads(input_bytes) |
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repickled_bytes = dumps(obj, protocol=protocol) |
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stream_out.write(repickled_bytes) |
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stream_out.close() |
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def call_func(payload, protocol): |
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"""Remote function call that uses cloudpickle to transport everthing""" |
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func, args, kwargs = loads(payload) |
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try: |
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result = func(*args, **kwargs) |
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except BaseException as e: |
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result = e |
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return dumps(result, protocol=protocol) |
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class _Worker: |
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def __init__(self, protocol=None): |
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self.protocol = protocol |
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self.pool = ProcessPoolExecutor(max_workers=1) |
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self.pool.submit(id, 42).result() |
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def run(self, func, *args, **kwargs): |
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"""Synchronous remote function call""" |
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input_payload = dumps((func, args, kwargs), protocol=self.protocol) |
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result_payload = self.pool.submit( |
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call_func, input_payload, self.protocol |
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).result() |
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result = loads(result_payload) |
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if isinstance(result, BaseException): |
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raise result |
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return result |
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def memsize(self): |
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workers_pids = [ |
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p.pid if hasattr(p, "pid") else p for p in list(self.pool._processes) |
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] |
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num_workers = len(workers_pids) |
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if num_workers == 0: |
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return 0 |
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elif num_workers > 1: |
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raise RuntimeError("Unexpected number of workers: %d" % num_workers) |
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return psutil.Process(workers_pids[0]).memory_info().rss |
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def close(self): |
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self.pool.shutdown(wait=True) |
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@contextmanager |
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def subprocess_worker(protocol=None): |
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worker = _Worker(protocol=protocol) |
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yield worker |
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worker.close() |
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def assert_run_python_script(source_code, timeout=TIMEOUT): |
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"""Utility to help check pickleability of objects defined in __main__ |
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The script provided in the source code should return 0 and not print |
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anything on stderr or stdout. |
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""" |
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fd, source_file = tempfile.mkstemp(suffix="_src_test_cloudpickle.py") |
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os.close(fd) |
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try: |
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with open(source_file, "wb") as f: |
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f.write(source_code.encode("utf-8")) |
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cmd = [sys.executable, "-W ignore", source_file] |
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cwd, env = _make_cwd_env() |
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kwargs = { |
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"cwd": cwd, |
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"stderr": STDOUT, |
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"env": env, |
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} |
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coverage_rc = os.environ.get("COVERAGE_PROCESS_START") |
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if coverage_rc: |
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kwargs["env"]["COVERAGE_PROCESS_START"] = coverage_rc |
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kwargs["timeout"] = timeout |
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try: |
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try: |
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out = check_output(cmd, **kwargs) |
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except CalledProcessError as e: |
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raise RuntimeError( |
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"script errored with output:\n%s" % e.output.decode("utf-8") |
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) from e |
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if out != b"": |
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raise AssertionError(out.decode("utf-8")) |
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except TimeoutExpired as e: |
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raise RuntimeError( |
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"script timeout, output so far:\n%s" % e.output.decode("utf-8") |
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) from e |
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finally: |
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os.unlink(source_file) |
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if __name__ == "__main__": |
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protocol = int(sys.argv[sys.argv.index("--protocol") + 1]) |
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pickle_echo(protocol=protocol) |
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