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234 行
8.2 KiB
234 行
8.2 KiB
import os
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import shutil
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import subprocess
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import yaml
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from sys import platform
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from typing import List, Optional, Mapping
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def get_unity_executable_path():
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if platform == "darwin":
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downloader_install_path = "./.Editor/Unity.app/Contents/MacOS/Unity"
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else: # if platform == "linux":
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downloader_install_path = "./.Editor/Unity"
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if os.path.exists(downloader_install_path):
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return downloader_install_path
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raise FileNotFoundError("Can't find executable from unity-downloader-cli")
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def get_base_path():
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# We might need to do some more work here if the working directory ever changes
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# E.g. take the full path and back out the main module main.
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# But for now, this should work
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return os.getcwd()
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def get_base_output_path():
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""""
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Returns the artifact folder to use for yamato jobs.
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"""
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return os.path.join(get_base_path(), "artifacts")
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def run_standalone_build(
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base_path: str,
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verbose: bool = False,
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output_path: str = None,
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scene_path: str = None,
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build_target: str = None,
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scripting_backend: str = "mono",
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log_output_path: Optional[str] = f"{get_base_output_path()}/standalone_build.txt",
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) -> int:
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"""
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Run BuildStandalonePlayerOSX test to produce a player. The location defaults to
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artifacts/standalonebuild/testPlayer.
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"""
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unity_exe = get_unity_executable_path()
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print(f"Running BuildStandalonePlayer via {unity_exe}")
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# enum values from https://docs.unity3d.com/2019.4/Documentation/ScriptReference/BuildTarget.html
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build_target_to_enum: Mapping[Optional[str], str] = {
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"mac": "StandaloneOSX",
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"osx": "StandaloneOSX",
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"linux": "StandaloneLinux64",
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}
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# Convert the short name to the official enum
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# Just pass through if it's not on the list.
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build_target_enum = build_target_to_enum.get(build_target, build_target)
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test_args = [
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unity_exe,
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"-projectPath",
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f"{base_path}/Project",
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"-batchmode",
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"-executeMethod",
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"Unity.MLAgents.StandaloneBuildTest.BuildStandalonePlayerOSX",
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]
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if log_output_path:
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os.makedirs(os.path.dirname(log_output_path), exist_ok=True)
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subprocess.run(["touch", log_output_path])
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test_args += ["-logfile", log_output_path]
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else:
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# Log to stdout
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test_args += ["-logfile", "-"]
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if output_path is not None:
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output_path = os.path.join(get_base_output_path(), output_path)
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test_args += ["--mlagents-build-output-path", output_path]
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os.makedirs(os.path.dirname(output_path), exist_ok=True)
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if scene_path is not None:
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test_args += ["--mlagents-build-scene-path", scene_path]
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if build_target_enum is not None:
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test_args += ["--mlagents-build-target", build_target_enum]
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if scripting_backend != "mono":
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test_args += ["--mlagents-scripting-backend", scripting_backend]
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print(f"{' '.join(test_args)} ...")
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timeout = 30 * 60 # 30 minutes, just in case
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res: subprocess.CompletedProcess = subprocess.run(test_args, timeout=timeout)
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# Copy the default build name into the artifacts folder.
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if output_path is None and res.returncode == 0:
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exe_name = "testPlayer.app" if platform == "darwin" else "testPlayer"
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shutil.move(
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os.path.join(base_path, "Project", exe_name),
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os.path.join(get_base_output_path(), exe_name),
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)
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# Print if we fail or want verbosity.
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if verbose or res.returncode != 0:
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if log_output_path:
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subprocess.run(["cat", log_output_path])
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return res.returncode
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def find_executables(root_dir: str) -> List[str]:
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"""
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Try to find the player executable. This seems to vary between Unity versions.
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"""
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ignored_extension = frozenset([".dll", ".dylib", ".bundle"])
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ignored_files = frozenset(["macblas"])
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exes = []
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for root, _, files in os.walk(root_dir):
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for filename in files:
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file_root, ext = os.path.splitext(filename)
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if ext in ignored_extension or filename in ignored_files:
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continue
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file_path = os.path.join(root, filename)
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if os.access(file_path, os.X_OK):
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exes.append(file_path)
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# Also check the input path
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if os.access(root_dir, os.X_OK):
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exes.append(root_dir)
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return exes
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def init_venv(
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mlagents_python_version: str = None, extra_packages: Optional[List[str]] = None
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) -> None:
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"""
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Install the necessary packages for the venv
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:param mlagents_python_version: The version of mlagents python packcage to install.
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If None, will do a local install, otherwise will install from pypi
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:return:
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"""
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pip_commands = ["--upgrade pip", "--upgrade setuptools"]
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if mlagents_python_version:
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# install from pypi
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if platform != "darwin":
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raise RuntimeError("Yamato can only run tensorflow on mac platforms!")
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pip_commands += [
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f"mlagents=={mlagents_python_version}",
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f"gym-unity=={mlagents_python_version}",
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# TODO build these and publish to internal pypi
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"~/tensorflow_pkg/tensorflow-2.0.0-cp37-cp37m-macosx_10_14_x86_64.whl",
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"tf2onnx==1.6.1",
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]
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else:
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# Local install
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pip_commands += ["-e ./ml-agents-envs", "-e ./ml-agents", "-e ./gym-unity"]
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if extra_packages:
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pip_commands += extra_packages
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for cmd in pip_commands:
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pip_index_url = "--index-url https://artifactory.prd.it.unity3d.com/artifactory/api/pypi/pypi/simple"
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print(f'Running "python3 -m pip install -q {cmd} {pip_index_url}"')
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subprocess.check_call(
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f"python3 -m pip install -q {cmd} {pip_index_url}", shell=True
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)
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def checkout_csharp_version(csharp_version):
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"""
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Checks out the specific git revision (usually a tag) for the C# package and Project.
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If csharp_version is None, no changes are made.
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:param csharp_version:
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:return:
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"""
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if csharp_version is None:
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return
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csharp_tag = f"com.unity.ml-agents_{csharp_version}"
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csharp_dirs = ["com.unity.ml-agents", "com.unity.ml-agents.extensions", "Project"]
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for csharp_dir in csharp_dirs:
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subprocess.check_call(f"rm -rf {csharp_dir}", shell=True)
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# Allow the checkout to fail, since the extensions folder isn't availabe in 1.0.0
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subprocess.call(f"git checkout {csharp_tag} -- {csharp_dir}", shell=True)
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def undo_git_checkout():
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"""
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Clean up the git working directory.
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"""
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subprocess.check_call("git reset HEAD .", shell=True)
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subprocess.check_call("git checkout -- .", shell=True)
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# Ensure the cache isn't polluted with old compiled assemblies.
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subprocess.check_call("rm -rf Project/Library", shell=True)
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def override_config_file(src_path, dest_path, overrides):
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"""
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Override settings in a trainer config file. For example,
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override_config_file(src_path, dest_path, max_steps=42)
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will copy the config file at src_path to dest_path, but override the max_steps field to 42 for all brains.
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"""
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with open(src_path) as f:
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configs = yaml.safe_load(f)
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behavior_configs = configs["behaviors"]
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for config in behavior_configs.values():
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_override_config_dict(config, overrides)
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with open(dest_path, "w") as f:
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yaml.dump(configs, f)
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def _override_config_dict(config, overrides):
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for key, val in overrides.items():
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if isinstance(val, dict):
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_override_config_dict(config[key], val)
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else:
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config[key] = val
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def override_legacy_config_file(python_version, src_path, dest_path, **kwargs):
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"""
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Override settings in a trainer config file, using an old version of the src_path. For example,
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override_config_file("0.16.0", src_path, dest_path, max_steps=42)
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will sync the file at src_path from version 0.16.0, copy it to dest_path, and override the
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max_steps field to 42 for all brains.
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"""
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# Sync the old version of the file
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python_tag = f"python-packages_{python_version}"
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subprocess.check_call(f"git checkout {python_tag} -- {src_path}", shell=True)
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with open(src_path) as f:
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configs = yaml.safe_load(f)
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for config in configs.values():
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config.update(**kwargs)
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with open(dest_path, "w") as f:
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yaml.dump(configs, f)
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