__init__.py

import collections
import functools
import importlib.util
import inspect
import logging
import sys
from functools import partial
from glob import iglob
from pathlib import Path
from typing import (
    TYPE_CHECKING,
    Any,
    Callable,
    Dict,
    Generator,
    List,
    Mapping,
    Optional,
    Union,
)

import yaml
from yaml import YAMLError

from lm_eval.api.group import ConfigurableGroup, GroupConfig
from lm_eval.evaluator_utils import get_subtask_list
from lm_eval.utils import pattern_match, setup_logging


if TYPE_CHECKING:
    from lm_eval.api.task import ConfigurableTask, Task


GROUP_ONLY_KEYS = list(GroupConfig().to_dict().keys())


eval_logger = logging.getLogger(__name__)
_Base = yaml.CLoader if getattr(yaml, "__with_libyaml__", False) else yaml.FullLoader


@functools.lru_cache(maxsize=None)  # ← reuse per (directory, simple) pair
def _make_loader(yaml_dir: Path, simple: bool = False) -> type[yaml.Loader]:
    """
    Return a custom YAML Loader class bound to *yaml_dir*.

    yaml_dir
        Directory that holds the YAML file being parsed.
        We capture it so that !function look-ups can resolve relative
        Python files like  my_utils.some_fn  ➜  yaml_dir / "my_utils.py".
    simple
        If True we ignore !function completely (used by `mode="simple"`).
    """

    class Loader(_Base):
        """Dynamically-generated loader that knows its base directory."""

        # no extra state needed; the constructor stays the same

    # Register (or stub) the !function constructor **for this Loader only**
    if simple:
        yaml.add_constructor("!function", ignore_constructor, Loader=Loader)
    else:
        yaml.add_constructor(
            "!function",
            # capture yaml_dir once so the lambda is fast and pickle-able
            lambda ld, node, _dir=yaml_dir: _import_function(
                ld.construct_scalar(node),
                base_path=_dir,
            ),
            Loader=Loader,
        )

    return Loader


@functools.lru_cache(maxsize=None)  # ← cache module objects
def _import_function(qualname: str, *, base_path: Path) -> Callable:
    mod_path, _, func_name = qualname.rpartition(".")
    if not mod_path:
        raise ValueError(f"{qualname!r} has no module part")
    file_path = base_path / f"{mod_path.replace('.', '/')}.py"
    module_name = f"_yaml_dynamic.{hash(file_path)}_{file_path.stem}"
    if module_name in sys.modules:
        mod = sys.modules[module_name]
    else:
        spec = importlib.util.spec_from_file_location(module_name, file_path)
        mod = importlib.util.module_from_spec(spec)
        spec.loader.exec_module(mod)
        sys.modules[module_name] = mod
    return getattr(mod, func_name)


def ignore_constructor(loader: yaml.Loader, node: yaml.Node) -> None:
    return None


@functools.lru_cache(maxsize=None)  #
def _parse_yaml_file(path: Path, mode: str) -> dict:
    loader_cls = _make_loader(path.parent, simple=(mode == "simple"))
    with path.open("rb") as fh:
        return yaml.load(fh, Loader=loader_cls)


@functools.lru_cache(maxsize=None)
def _get_cached_config(yaml_path: Path, mode: str) -> dict:
    """Load and cache resolved YAML configs with LRU eviction."""
    # Parse the YAML file
    yaml_config = _parse_yaml_file(yaml_path, mode)
    yaml_dir = yaml_path.parent

    # Handle includes
    include = yaml_config.pop("include", None)
    if not include:
        return yaml_config

    include_paths = include if isinstance(include, list) else [include]
    final_cfg: dict = {}

    for inc in reversed(include_paths):
        if inc is None:
            continue
        inc_path = Path(inc)
        if not inc_path.is_absolute():
            inc_path = (yaml_dir / inc_path).resolve()
        # Recursive call will use the cache
        included = _get_cached_config(inc_path, mode)
        final_cfg.update(included)

    final_cfg.update(yaml_config)  # local keys win
    return final_cfg


def load_yaml_config(
    yaml_path: Union[Path, str, None] = None,
    yaml_config: dict | None = None,
    yaml_dir: Path | None = None,
    mode: str = "full",
    *,
    _seen: set[tuple[Path, str]] | None = None,
    resolve_includes: bool = True,
) -> dict:
    """
    Parse a YAML config with optional include handling.

    Parameters
    ----------
    yaml_path
        Path to the main YAML file.  Needed unless *yaml_config* is
        supplied directly (e.g. by tests).
    yaml_config
        Pre-parsed dict to use instead of reading *yaml_path*.
    yaml_dir
        Base directory for resolving relative include paths.  Defaults
        to `yaml_path.parent`.
    mode
        "full"  – honour  !function  tags
        "simple" – ignore !function  (faster).
    _seen
        **Internal** recursion set: tuples of (absolute-path, mode).
        Prevents include cycles such as  A → B → A.
    """
    if yaml_config is None and yaml_path is None:
        raise ValueError("load_yaml_config needs either yaml_path or yaml_config")

    # ------------------------------------------------------------------ cycle guard
    if _seen is None:
        _seen = set()
    if yaml_path is not None:
        yaml_path = Path(yaml_path).expanduser().resolve()

        # ---------- fast-path: use LRU cached function ----------
        if yaml_config is None and resolve_includes:
            return _get_cached_config(yaml_path, mode)

        key = (yaml_path.resolve(), mode)
        if key in _seen:
            raise ValueError(f"Include cycle detected at {yaml_path}")
        _seen.add(key)

    # ------------------------------------------------------------------ load / parse
    if yaml_config is None:  # ordinary path-based load
        yaml_config = _parse_yaml_file(yaml_path, mode)

    if yaml_dir is None and yaml_path is not None:
        yaml_dir = yaml_path.parent
    assert yaml_dir is not None, "yaml_dir must be set by caller or deduced from path"

    # ------------------------------------------------------------------ handle include
    include = yaml_config.pop("include", None)
    if not include and not resolve_includes:
        return yaml_config

    include_paths = include if isinstance(include, list) else [include]
    final_cfg: dict = {}

    for inc in reversed(include_paths):
        if inc is None:  # guard against explicit nulls
            continue
        inc_path = Path(inc)
        if not inc_path.is_absolute():
            inc_path = (yaml_dir / inc_path).resolve()
        included = load_yaml_config(
            yaml_path=inc_path,
            mode=mode,
            yaml_dir=inc_path.parent,
            _seen=_seen,  # <-- pass set downward
        )
        final_cfg.update(included)

    final_cfg.update(yaml_config)  # local keys win
    return final_cfg


def iter_yaml_files(root: Path) -> Generator[Path, Any, None]:
    # '**/*.yaml' is handled internally by os.scandir.
    for p in iglob("**/*.yaml", root_dir=root, recursive=True):
        # ignore check
        if p.startswith(("__pycache__", ".ipynb_checkpoints")):
            continue
        yield root / p


class TaskManager:
    """TaskManager indexes all tasks from the default `lm_eval/tasks/`
    and an optional directory if provided.

    """

    def __init__(
        self,
        verbosity: Optional[str] = None,
        include_path: Optional[Union[str, Path, List[Union[str, Path]]]] = None,
        include_defaults: bool = True,
        metadata: Optional[dict] = None,
    ) -> None:
        if verbosity is not None:
            setup_logging(verbosity)
        self.include_path = include_path
        self.metadata = metadata
        self._task_index = self.initialize_tasks(
            include_path=include_path, include_defaults=include_defaults
        )
        self._all_tasks = sorted(list(self._task_index.keys()))

        self._all_groups = sorted(
            [x for x in self._all_tasks if self._task_index[x]["type"] == "group"]
        )
        self._all_subtasks = sorted(
            [
                x
                for x in self._all_tasks
                if self._task_index[x]["type"] in ["task", "python_task"]
            ]
        )
        self._all_tags = sorted(
            [x for x in self._all_tasks if self._task_index[x]["type"] == "tag"]
        )

        self.task_group_map = collections.defaultdict(list)

    def initialize_tasks(
        self,
        include_path: Optional[Union[str, Path, List[Union[str, Path]]]] = None,
        include_defaults: bool = True,
    ) -> dict[str, dict]:
        """Creates a dictionary of tasks indexes.

        :param include_path: Union[str, List] = None
            An additional path to be searched for tasks recursively.
            Can provide more than one such path as a list.
        :param include_defaults: bool = True
            If set to false, default tasks (those in lm_eval/tasks/) are not indexed.
        return
            Dictionary of task names as key and task metadata
        """
        if include_defaults:
            all_paths = [Path(__file__).parent]
        else:
            all_paths = []
        if include_path is not None:
            if isinstance(include_path, (str, Path)):
                include_path = [include_path]
            # Convert all paths to Path objects
            all_paths.extend(Path(p) for p in include_path)

        task_index = {}
        for task_dir in all_paths:
            tasks = self._get_task_and_group(task_dir)
            task_index = {**tasks, **task_index}

        return task_index

    @property
    def all_tasks(self) -> List[str]:
        return self._all_tasks

    @property
    def all_groups(self) -> List[str]:
        return self._all_groups

    @property
    def all_subtasks(self) -> List[str]:
        return self._all_subtasks

    @property
    def all_tags(self) -> List[str]:
        return self._all_tags

    @property
    def task_index(self) -> Dict[str, Dict[str, Union[str, int, List[str]]]]:
        return self._task_index

    def list_all_tasks(
        self,
        list_groups: bool = True,
        list_tags: bool = True,
        list_subtasks: bool = True,
    ) -> str:
        """
        Return a Markdown table (as a string) listing groups, tags and/or subtasks
        known to this TaskManager.  Safe for configs whose yaml_path is -1 and for
        task configs whose `include:` is a list.
        """
        from pytablewriter import MarkdownTableWriter

        # ------------------------------------------------------------------ helpers
        def sanitize_path(path: str) -> str:
            # print a relative path for anything inside lm_eval/tasks/
            # path_str = str(path)
            if "lm_eval/tasks/" in path:
                return "lm_eval/tasks/" + path.split("lm_eval/tasks/")[-1]
            return path

        def first_output_type_from_includes(cfg: dict, base: Path) -> str:
            """Walk cfg['include'] (string or list) and return the first
            include that itself specifies an output_type."""
            inc_raw = cfg.get("include")
            if not inc_raw:
                return ""

            inc_list = inc_raw if isinstance(inc_raw, list) else [inc_raw]
            for inc in inc_list:
                inc_path = Path(inc)
                if not inc_path.is_absolute():  # treat as relative include
                    inc_path = base.parent / inc_path
                try:
                    inc_cfg = load_yaml_config(inc_path, mode="simple")
                except FileNotFoundError:
                    continue
                if "output_type" in inc_cfg:
                    return inc_cfg["output_type"]
            return ""

        # -------------------------------------------------------------- GROUP table
        group_table = MarkdownTableWriter()
        group_table.headers = ["Group", "Config Location"]
        group_table.value_matrix = [
            [
                g,
                "---"
                if self.task_index[g]["yaml_path"] == -1
                else sanitize_path(self.task_index[g]["yaml_path"]),
            ]
            for g in self.all_groups
        ]

        # ---------------------------------------------------------------- TAG table
        tag_table = MarkdownTableWriter()
        tag_table.headers = ["Tag"]
        tag_table.value_matrix = [[t] for t in self.all_tags]

        # ------------------------------------------------------------ SUBTASK table
        subtask_table = MarkdownTableWriter()
        subtask_table.headers = ["Task", "Config Location", "Output Type"]
        st_values: list[list[str]] = []

        for t in self.all_subtasks:
            raw_path = self.task_index[t]["yaml_path"]

            if raw_path == -1:
                # python-only task or generated at runtime
                display_path = "---"
                output_type = ""
            else:
                path_obj = Path(raw_path)
                display_path = sanitize_path(str(path_obj))

                # load minimal YAML to discover output_type
                cfg = load_yaml_config(path_obj, mode="simple")
                if "output_type" in cfg:
                    output_type = cfg["output_type"]
                else:
                    output_type = first_output_type_from_includes(cfg, path_obj)

            st_values.append([t, display_path, output_type])

        subtask_table.value_matrix = st_values

        # ------------------------------------------------------------- final string
        parts: list[str] = ["\n"]
        if list_groups:
            parts.append(group_table.dumps())
            parts.append("\n")
        if list_tags:
            parts.append(tag_table.dumps())
            parts.append("\n")
        if list_subtasks:
            parts.append(subtask_table.dumps())
            parts.append("\n")

        return "".join(parts)

    def match_tasks(self, task_list: list[str]) -> list[str]:
        return pattern_match(task_list, self.all_tasks)

    def _name_is_registered(self, name: str) -> bool:
        return name in self.all_tasks

    def _name_is_task(self, name: str) -> bool:
        return (
            self._name_is_registered(name) and self.task_index[name]["type"] == "task"
        )

    def _name_is_tag(self, name: str) -> bool:
        return self._name_is_registered(name) and self.task_index[name]["type"] == "tag"

    def _name_is_group(self, name: str) -> bool:
        return (
            self._name_is_registered(name) and self.task_index[name]["type"] == "group"
        )

    def _name_is_python_task(self, name: str) -> bool:
        return (
            self._name_is_registered(name)
            and self.task_index[name]["type"] == "python_task"
        )

    def _config_is_task(self, config: dict) -> bool:
        return "task" in config and isinstance(config["task"], str)

    def _config_is_group(self, config: dict) -> bool:
        return "task" in config and isinstance(config["task"], list)

    def _config_is_python_task(self, config: dict) -> bool:
        return "class" in config

    def _config_is_task_list(self, config: dict) -> bool:
        return "task_list" in config and isinstance(config["task_list"], list)

    def _get_yaml_path(self, name: str) -> Union[str, int]:
        if name not in self.task_index:
            raise ValueError
        return self.task_index[name]["yaml_path"]

    def _get_config(self, name: str) -> Dict:
        if name not in self.task_index:
            raise ValueError
        yaml_path = self._get_yaml_path(name)
        if yaml_path == -1:
            return {}
        else:
            return load_yaml_config(Path(yaml_path), mode="full")

    def _get_tasklist(self, name: str) -> Union[List[str], int]:
        if self._name_is_task(name):
            raise ValueError
        return self.task_index[name]["task"]

    def _register_task(
        self,
        task_name: str,
        task_type: str,
        yaml_path: str,
        tasks_and_groups: Dict[str, Dict],
        config: Optional[Dict] = None,
        populate_tags_fn: Optional[callable] = None,
    ) -> None:
        """Helper method to register a task in the tasks_and_groups dict"""
        tasks_and_groups[task_name] = {
            "type": task_type,
            "yaml_path": yaml_path,
        }
        # Only populate tags for configs that support it (not groups)
        if config and task_type != "group" and populate_tags_fn:
            populate_tags_fn(config, task_name, tasks_and_groups)

    def _merge_task_configs(
        self, base_config: Dict, task_specific_config: Dict, task_name: str
    ) -> Dict:
        """Merge base config with task-specific overrides for task_list configs"""
        if task_specific_config:
            task_specific_config = task_specific_config.copy()
            task_specific_config.pop("task", None)
            return {**base_config, **task_specific_config, "task": task_name}
        return {**base_config, "task": task_name}

    def _process_tag_subtasks(
        self, tag_name: str, update_config: Optional[Dict] = None
    ) -> Dict:
        """Process subtasks for a tag and return loaded tasks"""
        subtask_list = self._get_tasklist(tag_name)
        fn = partial(
            self._load_individual_task_or_group,
            update_config=update_config,
        )
        return dict(collections.ChainMap(*map(fn, reversed(subtask_list))))

    def _process_alias(self, config: Dict, group: Optional[str] = None) -> Dict:
        # If the group is not the same as the original
        # group which the group alias was intended for,
        # Set the group_alias to None instead.
        if ("group_alias" in config) and ("group" in config) and group is not None:
            if config["group"] != group:
                config["group_alias"] = None
        return config

    def _class_has_config_in_constructor(self, cls) -> bool:
        constructor = getattr(cls, "__init__", None)
        return (
            "config" in inspect.signature(constructor).parameters
            if constructor
            else False
        )

    def _load_individual_task_or_group(
        self,
        name_or_config: Optional[Union[str, Dict]] = None,
        parent_name: Optional[str] = None,
        update_config: Optional[Dict] = None,
    ) -> Mapping:
        from lm_eval.api.task import ConfigurableTask, Task

        def _load_task(
            config: Dict, task: str, yaml_path: Optional[str] = None
        ) -> Dict[str, Union["ConfigurableTask", "Task"]]:
            if "include" in config:
                # Store the task name to preserve it after include processing
                original_task_name = config.get("task", task)

                config = {
                    **load_yaml_config(
                        yaml_path=Path(yaml_path),
                        yaml_config={"include": config.pop("include")},
                        mode="full" if yaml_path else "simple",
                    ),
                    **config,
                    "task": original_task_name,
                }

                # Ensure the task name from the group config is preserved
                # This prevents tasks with the same include from being treated as duplicates

            if self._config_is_python_task(config):
                if self._class_has_config_in_constructor(config["class"]):
                    task_object = config["class"](config=config)
                else:
                    task_object = config["class"]()
                if isinstance(task_object, ConfigurableTask):
                    # very scuffed: set task name here. TODO: fixme?
                    task_object.config.task = task
            else:
                if self.metadata is not None:
                    config["metadata"] = config.get("metadata", {}) | self.metadata
                else:
                    config["metadata"] = config.get("metadata", {})
                task_object = ConfigurableTask(config=config)

            return {task: task_object}

        def _get_group_and_subtask_from_config(
            config: Dict,
        ) -> tuple[ConfigurableGroup, List[str]]:
            if self.metadata is not None:
                config["metadata"] = config.get("metadata", {}) | self.metadata
            group_name = ConfigurableGroup(config=config)
            subtask_list = []
            for task in group_name.config["task"]:
                if isinstance(task, str) and self._name_is_tag(task):
                    subtask_list.extend(self._get_tasklist(task))
                else:
                    subtask_list.append(task)
            return group_name, subtask_list

        def _process_group_config(
            config: Dict, update_config: Optional[Dict] = None
        ) -> tuple[Dict, Optional[Dict]]:
            if update_config is not None:
                config = {**config, **update_config}
            _update_config = {
                k: v for k, v in config.items() if k not in GROUP_ONLY_KEYS
            }
            if not bool(_update_config):
                _update_config = None

            group_config = {k: v for k, v in config.items() if k in GROUP_ONLY_KEYS}
            return group_config, _update_config

        if isinstance(name_or_config, str):
            if update_config is not None:
                # Process name_or_config as a dict instead
                name_or_config = {"task": name_or_config, **update_config}
            elif self._name_is_task(name_or_config) or self._name_is_python_task(
                name_or_config
            ):
                # Get the yaml_path for this task
                yaml_path = self._get_yaml_path(name_or_config)
                task_config = self._get_config(name_or_config)

                # Handle task_list configs
                if "task_list" in task_config:
                    # Find the specific task entry
                    task_specific_config = None
                    for task_entry in task_config["task_list"]:
                        if (
                            isinstance(task_entry, dict)
                            and task_entry.get("task") == name_or_config
                        ):
                            task_specific_config = task_entry
                            break

                    if task_specific_config:
                        # Create base config without task_list
                        base_config = {
                            k: v for k, v in task_config.items() if k != "task_list"
                        }
                        # Merge using helper method
                        task_config = self._merge_task_configs(
                            base_config, task_specific_config, name_or_config
                        )
                    else:
                        # Task not found in task_list, shouldn't happen if indexing worked correctly
                        eval_logger.warning(
                            f"Task {name_or_config} not found in task_list"
                        )
                        task_config = {"task": name_or_config}

                return _load_task(task_config, task=name_or_config, yaml_path=yaml_path)
            else:
                subtask_list = self._get_tasklist(name_or_config)
                if subtask_list == -1:
                    group_config = self._get_config(name_or_config)
                    group_config, update_config = _process_group_config(group_config)
                    group_name, subtask_list = _get_group_and_subtask_from_config(
                        group_config
                    )
                else:
                    if self._name_is_tag(name_or_config):
                        return self._process_tag_subtasks(
                            name_or_config,
                            name_or_config
                            if isinstance(name_or_config, dict)
                            else None,
                        )
                    else:
                        group_name = ConfigurableGroup(
                            config={"group": name_or_config, "task": subtask_list}
                        )

        if isinstance(name_or_config, dict):
            if self._config_is_task(name_or_config):
                name = name_or_config.pop("task")
                if update_config is not None:
                    name_or_config = {**name_or_config, **update_config}
                # If the name is registered as a group
                if self._name_is_group(name):
                    group_config = self._get_config(name)

                    group_config, update_config = _process_group_config(
                        group_config, name_or_config
                    )
                    group_name, subtask_list = _get_group_and_subtask_from_config(
                        group_config
                    )
                elif self._name_is_tag(name):
                    return self._process_tag_subtasks(name, name_or_config)
                else:
                    yaml_path = None
                    if self._name_is_registered(name):
                        yaml_path = self._get_yaml_path(name)
                        base_task_config = self._get_config(name)

                        # Check if this is a duplicate.
                        if parent_name is not None:
                            num_duplicate = len(
                                list(
                                    filter(
                                        lambda x: x.startswith(name),
                                        self.task_group_map[parent_name],
                                    )
                                )
                            )
                            if num_duplicate > 0:
                                name = f"{name}-{num_duplicate}"
                            self.task_group_map[parent_name].append(name)

                        task_config = {
                            **base_task_config,
                            **name_or_config,
                        }
                    else:
                        task_config = name_or_config
                    return _load_task(task_config, task=name, yaml_path=yaml_path)
            else:
                group_config, update_config = _process_group_config(name_or_config)
                group_name, subtask_list = _get_group_and_subtask_from_config(
                    group_config
                )

        fn = partial(
            self._load_individual_task_or_group,
            parent_name=group_name,
            update_config=update_config,
        )
        return {
            group_name: dict(collections.ChainMap(*map(fn, reversed(subtask_list))))
        }

    def load_task_or_group(
        self, task_list: Optional[Union[str, List[str]]] = None
    ) -> Dict:
        """Loads a dictionary of task objects from a list

        :param task_list: Union[str, list] = None
            Single string or list of string of task names to be loaded

        :return
            Dictionary of task objects
        """
        if isinstance(task_list, str):
            task_list = [task_list]

        all_loaded_tasks = dict(
            collections.ChainMap(
                *map(
                    lambda task: self._load_individual_task_or_group(task),
                    task_list,
                )
            )
        )
        return all_loaded_tasks

    def load_config(self, config: Dict) -> Mapping:
        return self._load_individual_task_or_group(config)

    def _get_task_and_group(self, task_dir: Union[str, Path]) -> Dict[str, Dict]:
        """Creates a dictionary of tasks index with the following metadata,
        - `type`, that can be either `task`, `python_task`, `group` or `tags`.
            `task` refer to regular task configs, `python_task` are special
            yaml files that only consists of `task` and `class` parameters.
            `group` are group configs. `tags` are labels that can be assigned
            to tasks to assist in sorting and calling tasks of certain themes.
        - `yaml_path`, path to the yaml file. If the entry is a `group` that
            was configured through a task config, the yaml_path will be -1
            and all subtasks will be listed in `task` (see below)
        - `task`, reserved for entries with `type` as `group`. This will list
            all subtasks. When a group config is created (as opposed to task
            config having `group` parameter set), this will be set to -1 to
            avoid recursive indexing. The whole list of subtasks will be loaded
            at evaluation.

        :param task_dir: str
            A directory to check for tasks

        :return
            Dictionary of task names as key and task metadata
        """

        def _populate_tags_and_groups(
            config: Dict, task: str, tasks_and_groups: Dict[str, Dict]
        ) -> None:
            # TODO: remove group in next release
            if "tag" in config:
                attr_list = config["tag"]
                if isinstance(attr_list, str):
                    attr_list = [attr_list]

                for tag in attr_list:
                    if tag not in tasks_and_groups:
                        tasks_and_groups[tag] = {
                            "type": "tag",
                            "task": [task],
                            "yaml_path": -1,
                        }
                    elif tasks_and_groups[tag]["type"] != "tag":
                        eval_logger.info(
                            f"The tag '{tag}' is already registered as a group, this tag will not be registered. "
                            "This may affect tasks you want to call."
                        )
                        break
                    else:
                        tasks_and_groups[tag]["task"].append(task)

        # TODO: remove group in next release
        # ignore_dirs = [
        #     "__pycache__",
        #     ".ipynb_checkpoints",
        # ]
        tasks_and_groups = collections.defaultdict()
        task_dir_path = Path(task_dir)

        for yaml_path in iter_yaml_files(task_dir_path):
            try:
                config = load_yaml_config(
                    yaml_path, mode="simple", resolve_includes=False
                )
            except (FileNotFoundError, YAMLError, OSError) as err:
                eval_logger.debug(f"File {yaml_path} could not be loaded ({err})")
                continue
            if self._config_is_python_task(config):
                # This is a python class config
                task = config["task"]
                self._register_task(
                    task,
                    "python_task",
                    str(yaml_path),
                    tasks_and_groups,
                    config,
                    _populate_tags_and_groups,
                )
            elif self._config_is_group(config):
                # This is a group config
                tasks_and_groups[config["group"]] = {
                    "type": "group",
                    "task": -1,  # This signals that
                    # we don't need to know
                    # the task list for indexing
                    # as it can be loaded
                    # when called.
                    "yaml_path": str(yaml_path),
                }

                # # Registered the level 1 tasks from a group config
                # for config in config["task"]:
                #     if isinstance(config, dict) and self._config_is_task(config):
                #         task = config["task"]
                #         tasks_and_groups[task] = {
                #             "type": "task",
                #             "yaml_path": yaml_path,
                #             }

            elif self._config_is_task(config):
                # This is a task config
                task = config["task"]
                self._register_task(
                    task,
                    "task",
                    str(yaml_path),
                    tasks_and_groups,
                    config,
                    _populate_tags_and_groups,
                )
            elif self._config_is_task_list(config):
                # This is a task_list config
                for task_entry in config["task_list"]:
                    if isinstance(task_entry, dict) and "task" in task_entry:
                        task_name = task_entry["task"]
                        self._register_task(
                            task_name,
                            "task",
                            str(yaml_path),
                            tasks_and_groups,
                            config,
                            _populate_tags_and_groups,
                        )
            else:
                eval_logger.debug(f"File {yaml_path} could not be loaded")

        return tasks_and_groups


def get_task_name_from_config(task_config: Dict[str, str]) -> str:
    if "task" in task_config:
        return task_config["task"]
    if "dataset_name" in task_config:
        return "{dataset_path}_{dataset_name}".format(**task_config)
    else:
        return "{dataset_path}".format(**task_config)


def get_task_name_from_object(task_object: Union["ConfigurableTask", "Task"]) -> str:
    if hasattr(task_object, "config"):
        return task_object._config["task"]

    # TODO: scrap this
    # this gives a mechanism for non-registered tasks to have a custom name anyways when reporting
    return (
        task_object.EVAL_HARNESS_NAME
        if hasattr(task_object, "EVAL_HARNESS_NAME")
        else type(task_object).__name__
    )


def _check_duplicates(task_dict: Dict[str, List[str]]) -> None:
    """helper function solely used in validating get_task_dict output.
    Takes the output of lm_eval.evaluator_utils.get_subtask_list and
    returns a list of all leaf subtasks contained within, and errors if any such leaf subtasks are
    "oversubscribed" to several disjoint groups.
    """
    subtask_names = []
    for key, value in task_dict.items():
        subtask_names.extend(value)

    duplicate_tasks = {
        task_name for task_name in subtask_names if subtask_names.count(task_name) > 1
    }

    # locate the potentially problematic groups that seem to 'compete' for constituent subtasks
    competing_groups = [
        group
        for group in task_dict.keys()
        if len(set(task_dict[group]).intersection(duplicate_tasks)) > 0
    ]

    if len(duplicate_tasks) > 0:
        raise ValueError(
            f"Found 1 or more tasks while trying to call get_task_dict() that were members of more than 1 called group: {list(duplicate_tasks)}. Offending groups: {competing_groups}. Please call groups which overlap their constituent tasks in separate evaluation runs."
        )


def get_task_dict(
    task_name_list: Union[str, List[Union[str, Dict, "Task"]]],
    task_manager: Optional[TaskManager] = None,
) -> Dict[str, Union["ConfigurableTask", "Task"]]:
    """Creates a dictionary of task objects from either a name of task, config, or prepared Task object.

    :param task_name_list: List[Union[str, Dict, Task]]
        Name of model or LM object, see lm_eval.models.get_model
    :param task_manager: TaskManager = None
        A TaskManager object that stores indexed tasks. If not set,
        task_manager will load one. This should be set by the user
        if there are additional paths that want to be included
        via `include_path`

    :return
        Dictionary of task objects
    """
    from lm_eval.api.task import ConfigurableTask, Task

    task_name_from_string_dict = {}
    task_name_from_config_dict = {}
    task_name_from_object_dict = {}

    if isinstance(task_name_list, str):
        task_name_list = [task_name_list]
    elif isinstance(task_name_list, list):
        if not all([isinstance(task, (str, dict, Task)) for task in task_name_list]):
            raise TypeError(
                "Expected all list items to be of types 'str', 'dict', or 'Task', but at least one entry did not match."
            )
    else:
        raise TypeError(
            f"Expected a 'str' or 'list' but received {type(task_name_list)}."
        )

    string_task_name_list = [task for task in task_name_list if isinstance(task, str)]
    others_task_name_list = [
        task for task in task_name_list if not isinstance(task, str)
    ]
    if len(string_task_name_list) > 0:
        if task_manager is None:
            task_manager = TaskManager()

        task_name_from_string_dict = task_manager.load_task_or_group(
            string_task_name_list
        )

    for task_element in others_task_name_list:
        if isinstance(task_element, dict):
            task_name_from_config_dict = {
                **task_name_from_config_dict,
                **task_manager.load_config(config=task_element),
            }

        elif isinstance(task_element, Task):
            task_name_from_object_dict = {
                **task_name_from_object_dict,
                get_task_name_from_object(task_element): task_element,
            }

    if not set(task_name_from_string_dict.keys()).isdisjoint(
        set(task_name_from_object_dict.keys())
    ):
        raise ValueError

    final_task_dict = {
        **task_name_from_string_dict,
        **task_name_from_config_dict,
        **task_name_from_object_dict,
    }

    # behavior can get odd if one tries to invoke several groups that "compete" for the same task.
    # (notably, because one could request several num_fewshot values at once in GroupConfig overrides for the subtask
    # and we'd be unsure which to use and report.)
    # we explicitly check and error in this case.
    _check_duplicates(get_subtask_list(final_task_dict))

    return final_task_dict