(self)

(self, exc_type: object, exc: object, tb: object)

(self, exc_type: object, exc: object, tb: object)

(self, exc_type, exc, tb)

(self, base_dir: str | Path)

(self, total_gpus: int = 8, gpus_per_project: int = 2)

(self, payload: Mapping[str, Any])

(self, response: str = "{}")

(self)

(self, responses: list[str] | None = None)

(self, results: list[FakeSandboxResult] | None = None)

( self, *, status: int = 200, payload: dict[str, object] | None = None )

(self)

(self, responses: list[str] | None = None)

(self, response: str = "{}")

(self, response_text: str = "mock response")

(self, response_text: str = "mock response")

(self, *_args: object, **_kwargs: object)

(self)

(self)

(self, payload: bytes)

(self, overrides_path: str | Path | None = None)

(self, store_dir: Path)

(self, base_url: str, api_key: str, timeout_sec: int = 300)

(self, config: LLMConfig)

(self, acp_config: ACPConfig)

(self, domain: DomainProfile)

(self, store_path: Path)

(self, run_id: str)

( self, api_base: str, api_key: str, model: str = "gpt-5.4", votes: in

(self, repo_dir: Path)

(self, time_budget: int = 120)

(self)

( self, config: ExperimentConfig, workspace: Path, *, git_repo_dir: Pa

(self, config: DockerSandboxConfig, workdir: Path)

(self, config: SshRemoteConfig, workdir: Path)

( self, returncode: int, stdout: str, stderr: str, timed_out: bool = F

(self, config: SandboxConfig, workdir: Path)

(self, config: ColabDriveConfig, workdir: Path)

( self, *, timeout: int = 30, max_content_length: int = 50_000, user_a

( self, *, max_pages: int = 0, extract_sections: bool = True, )

( self, *, inter_request_delay: float = 2.0, use_proxy: bool = False, )

( self, *, tavily_api_key: str = "", exa_api_key: str = "", enable_sch

( self, *, api_key: str = "", config: ExaSearchConfig | None = None, )

( self, *, api_key: str = "", max_results: int = 10, search_depth: str

( self, *, model: str = "", llm_base_url: str = "", api_key_env: str =

( self, llm: Any, prompts: Any, config: CodeAgentConfig, stage_dir: Pa

(self, trace_dir: Path, prefix: str = "generation")

( self, *, llm_config: Any, workspace: Path, system_prompt: str,

( self, workspace: Path, allowed_read_dirs: list[Path] | None = None, )

( self, workspace: Path, allowed_read_dirs: list[Path] | None = None, bash_tim

(self, registry: StrategyRegistry | None = None)

(self)

(self, trace_dir: Path)

( self, *, llm_config: Any, workspace: Path, system_prompt: str,

(self, strategies: list[CodegenStrategy])

(self, llm: _LLMClientLike)

(self, llm: _LLMClientLike, *, max_iterations: int = 3)

( self, llm: Any, *, gpu_memory_mb: int = 49000, time_budget_sec: int

( self, llm: Any, *, enable_hf_search: bool = True, max_hf_results: in

( self, llm: Any, config: BenchmarkAgentConfig | None = None, *, gpu_m

( self, llm: Any, *, timeout_sec: int = 30, python_path: str | None =

( self, llm: Any, *, min_figures: int = 3, max_figures: int = 8, )

( self, llm: Any, *, gemini_api_key: str | None = None, model: str = _

(self, llm: Any, *, output_format: str = "python")

( self, llm: Any, *, min_figures: int = 3, max_figures: int = 10,

( self, llm: Any, *, strict_mode: bool = False, )

(self, llm: Any)

( self, llm: Any, config: FigureAgentConfig | None = None, *, stage_di

( self, cache_dir: Path | None = None, ttl_days: int = _DEFAULT_TTL_DAYS, )

( self, llm: Any | None = None, github_token: str | None = None, cache: Search

(self, token: str | None = None)

(self)

(self, smoke_test: bool)

(self, shared: SharedModels, seed: int)

(self, shared: SharedModels, seed: int)

(self, shared: SharedModels, seed: int)

(self, shared: SharedModels, seed: int)

(self, shared: SharedModels, seed: int, difficulty_control: bool = True)

(self, shared: SharedModels, seed: int, n_factors: int = 4)

(self, shared: SharedModels, seed: int, global_weights: bool = False, creative_long_only: bool = False, embodi

(self, samples: List[VideoSample])

(self, time_budget: int = 120)

(self)

(self)

(self, dataset_root: str)

(self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: int)

(self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: int)

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

( self, ref_masks: List[torch.Tensor], mask_weights: List[float], num_steps: i

(self, image_size: Tuple[int, int] = (256, 256))

(self)

(self)