Add suggestions from autotyping

This adds a bunch of simple annotations suggested by https://github.com/JelleZijlstra/autotyping.

lm_eval/tasks/__init__.py

@@ -15,7 +15,7 @@ from lm_eval.api.registry import (
 )
 
 
-def register_configurable_task(config):
+def register_configurable_task(config: dict[str, str]) -> int:
     SubClass = type(
         config["task"] + "ConfigurableTask",
         (ConfigurableTask,),
@@ -38,7 +38,7 @@ def register_configurable_task(config):
     return 0
 
 
-def check_prompt_config(config):
+def check_prompt_config(config: dict[str, str]) -> List[dict[str, str]]:
     all_configs = []
     if "use_prompt" in config:
         prompt_list = prompts.load_prompt_list(
@@ -69,14 +69,14 @@ def check_prompt_config(config):
     return all_configs
 
 
-def get_task_name_from_config(task_config):
+def get_task_name_from_config(task_config: dict[str, str]) -> str:
     if "dataset_name" in task_config:
         return "{dataset_path}_{dataset_name}".format(**task_config)
     else:
         return "{dataset_path}".format(**task_config)
 
 
-def include_task_folder(task_dir):
+def include_task_folder(task_dir: str) -> None:
     """
     Calling this function
     """

lm_eval/tasks/glue/mnli/utils.py

-def doc_to_text(doc):
+def doc_to_text(doc) -> str:
     return "{}\nQuestion: {} True, False or Neither?\nAnswer:".format(
         doc["premise"],
         doc["hypothesis"].strip()

lm_eval/tasks/hendrycks_ethics/utils.py

@@ -15,7 +15,7 @@ def _preproc_doc(doc):
     return doc
 
 
-def doc_to_text(doc):
+def doc_to_text(doc) -> str:
     doc = _preproc_doc(doc)
     return f"Scenario 1: {doc['scenarios'][0]}\nScenario 2: {doc['scenarios'][1]}\nQuestion: Is Scenario 1 preferable?\nAnswer:"
 

lm_eval/tasks/pubmedqa/preprocess_pubmedqa.py

-def doc_to_text(doc):
+def doc_to_text(doc) -> str:
     ctxs = "\n".join(doc["context"]["contexts"])
     return "Abstract: {}\nQuestion: {}\nAnswer:".format(
         ctxs, doc["question"], doc["final_decision"]
     )
 
 
-def doc_to_target(doc):
+def doc_to_target(doc) -> str:
     return " {}".format(doc["final_decision"])
 
 

lm_eval/utils.py

@@ -10,7 +10,7 @@ import collections
 import importlib.util
 import fnmatch
 
-from typing import List, Literal, Union
+from typing import Iterator, List, Literal, Union
 
 import gc
 import torch
@@ -65,7 +65,7 @@ def join_iters(iters):
         yield from iter
 
 
-def chunks(iter, n=0, fn=None):
+def chunks(iter, n: int = 0, fn=None):
     arr = []
     for i, x in enumerate(iter):
         arr.append(x)
@@ -87,11 +87,11 @@ def group(arr, fn):
 
 
 class MultiChoice:
-    def __init__(self, choices):
+    def __init__(self, choices) -> None:
         self.choices = choices
 
     # Simple wildcard support (linux filename patterns)
-    def __contains__(self, values):
+    def __contains__(self, values) -> bool:
         for value in values.split(","):
             if len(fnmatch.filter(self.choices, value)) == 0:
                 eval_logger.info(f"Available tasks to choose:")
@@ -100,7 +100,7 @@ class MultiChoice:
                 raise ValueError("'{}' is not in task list".format(value))
         return True
 
-    def __iter__(self):
+    def __iter__(self) -> Iterator:
         for choice in self.choices:
             yield choice
 
@@ -108,7 +108,6 @@ class MultiChoice:
 # Returns a list containing all values of the source_list that
 # match at least one of the patterns
 def pattern_match(patterns, source_list):
-
     if type(patterns) == str:
         patterns = [patterns]
 
@@ -177,7 +176,7 @@ def make_disjoint_window(pair):
 
 
 class Reorderer:
-    def __init__(self, arr, fn):
+    def __init__(self, arr, fn) -> None:
         self.size = len(arr)
         arr = list(enumerate(arr))
         arr = group(arr, lambda x: fn(x[1]))
@@ -212,7 +211,7 @@ class Grouper:
     objects in `arr` satisfying `key == fn(ob)`.
     """
 
-    def __init__(self, arr, fn):
+    def __init__(self, arr, fn) -> None:
         # self.orig_arr = arr
         self.size = len(arr)
         arr = list(enumerate(arr))
@@ -263,7 +262,7 @@ class Grouper:
         return res
 
 
-def make_table(result_dict, column="results"):
+def make_table(result_dict, column: str = "results"):
     """Generate table of results."""
     from pytablewriter import MarkdownTableWriter, LatexTableWriter
 
@@ -393,7 +392,6 @@ def get_git_commit_hash():
 
 
 def import_function(loader, node):
-
     function_name = loader.construct_scalar(node)
     yaml_path = os.path.dirname(loader.name)
 
@@ -428,7 +426,6 @@ def load_yaml_config(yaml_path):
             include_path.reverse()
             final_yaml_config = {}
             for path in include_path:
-
                 # Assumes that path is a full path.
                 # If not found, assume the included yaml
                 # is in the same dir as the original yaml
@@ -447,7 +444,7 @@ def load_yaml_config(yaml_path):
         return yaml_config
 
 
-def regex_replace(string, pattern, repl, count=0):
+def regex_replace(string, pattern, repl, count: int = 0):
     """Implements the `re.sub` function as a custom Jinja filter."""
     return re.sub(pattern, repl, string, count=count)
 
@@ -521,7 +518,7 @@ def pad_and_concat(
     return torch.cat(tensors, dim=0)
 
 
-def clear_torch_cache():
+def clear_torch_cache() -> None:
     gc.collect()
     torch.cuda.empty_cache()
 
@@ -546,7 +543,7 @@ class MultiTokenEOSCriteria(transformers.StoppingCriteria):
         tokenizer: transformers.PreTrainedTokenizer,
         initial_decoder_input_length: int,
         batch_size: int,
-    ):
+    ) -> None:
         self.initial_decoder_input_length = initial_decoder_input_length
         self.done_tracker = [False] * batch_size
         self.sequence = sequence

main.py

@@ -15,7 +15,7 @@ from lm_eval.tasks import include_task_folder
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 
-def parse_args():
+def parse_args() -> argparse.Namespace:
     parser = argparse.ArgumentParser()
     parser.add_argument("--model", required=True, help="Name of model e.g. `hf`")
     parser.add_argument(
@@ -98,7 +98,7 @@ def parse_args():
     return parser.parse_args()
 
 
-def main():
+def main() -> None:
     args = parse_args()
 
     if args.limit: