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# import lm_eval.base as base
import importlib
import os
import sys
from datetime import datetime
from typing import List, Tuple
import pytest
import torch
# import lm_eval.models as models
from lm_eval.caching.cache import PATH
MODULE_DIR = os.path.dirname(os.path.realpath(__file__))
# NOTE the script this loads uses simple evaluate
# TODO potentially test both the helper script and the normal script
sys.path.append(f"{MODULE_DIR}/../scripts")
model_loader = importlib.import_module("requests_caching")
run_model_for_task_caching = model_loader.run_model_for_task_caching
DEFAULT_TASKS = ["lambada_openai", "hellaswag"]
@pytest.fixture(autouse=True)
def setup_and_teardown():
# Setup
torch.use_deterministic_algorithms(False)
clear_cache()
# Yields control back to the test function
yield
# Cleanup here
def clear_cache():
if os.path.exists(PATH):
cache_files = os.listdir(PATH)
for file in cache_files:
file_path = f"{PATH}/{file}"
os.unlink(file_path)
# leaving tasks here to allow for the option to select specific task files
def get_cache_files(tasks: List[str] = None) -> Tuple[List[str], List[str]]:
cache_files = os.listdir(PATH)
file_task_names = []
for file in cache_files:
file_without_prefix = file.split("-")[1]
file_without_prefix_and_suffix = file_without_prefix.split(".")[0]
file_task_names.append(file_without_prefix_and_suffix)
return cache_files, file_task_names
def assert_created(tasks: List[str], file_task_names: List[str]):
tasks.sort()
file_task_names.sort()
assert tasks == file_task_names
@pytest.mark.parametrize("tasks", [DEFAULT_TASKS])
def test_requests_caching_true(tasks: List[str]):
run_model_for_task_caching(tasks=tasks, cache_requests="true")
cache_files, file_task_names = get_cache_files()
assert_created(tasks=tasks, file_task_names=file_task_names)
@pytest.mark.parametrize("tasks", [DEFAULT_TASKS])
def test_requests_caching_refresh(tasks: List[str]):
run_model_for_task_caching(tasks=tasks, cache_requests="true")
timestamp_before_test = datetime.now().timestamp()
run_model_for_task_caching(tasks=tasks, cache_requests="refresh")
cache_files, file_task_names = get_cache_files()
for file in cache_files:
modification_time = os.path.getmtime(f"{PATH}/{file}")
assert modification_time > timestamp_before_test
tasks.sort()
file_task_names.sort()
assert tasks == file_task_names
@pytest.mark.parametrize("tasks", [DEFAULT_TASKS])
def test_requests_caching_delete(tasks: List[str]):
# populate the data first, rerun this test within this test for additional confidence
test_requests_caching_true(tasks=tasks)
run_model_for_task_caching(tasks=tasks, cache_requests="delete")
cache_files, file_task_names = get_cache_files()
assert len(cache_files) == 0
# useful for locally running tests through the debugger
if __name__ == "__main__":
def run_tests():
tests = [
test_requests_caching_true,
test_requests_caching_refresh,
test_requests_caching_delete,
]
for test_func in tests:
clear_cache()
test_func(tasks=DEFAULT_TASKS)
print("Tests pass")
run_tests()
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