Commit a7993806 authored by haileyschoelkopf's avatar haileyschoelkopf
Browse files

patch some tests

parent 6ee8e4e3
...@@ -6,14 +6,18 @@ import lm_eval.models ...@@ -6,14 +6,18 @@ import lm_eval.models
def test_description_dict(): def test_description_dict():
seed = 42 seed = 42
num_examples = 1 num_examples = 1
task_names = ["hellaswag", "winogrande"] task_names = ["arc_challenge", "lambada"]
description_dict = { description_dict = {
"hellaswag": "Label for the relevant action:\nSentences describing context, with an incomplete sentence trailing answer that plausibly completes the situation.", "arc_challenge": "Label for the relevant action:\nSentences describing context, with an incomplete sentence trailing answer that plausibly completes the situation.",
"winogrande": "Winograd schema sentence including a either a ___ blank with a missing word, making the pronoun ambiguous, or the same with the word filled in.", "lambada": "Winograd schema sentence including a either a ___ blank with a missing word, making the pronoun ambiguous, or the same with the word filled in.",
} }
task_dict = lm_eval.tasks.get_task_dict(task_names) task_dict = lm_eval.tasks.get_task_dict(task_names)
for task_name, task in task_dict.items(): for task_name, task in task_dict.items():
# patch description field in task (# TODO: make this much more cleaned up)
task._config.description = description_dict[task_name]
rnd = random.Random() rnd = random.Random()
rnd.seed(seed) rnd.seed(seed)
......
import os import os
import lm_eval.base as base
# import lm_eval.base as base
import lm_eval.api.registry as registry
import lm_eval.tasks as tasks import lm_eval.tasks as tasks
import lm_eval.models as models
# import lm_eval.models as models
import lm_eval.evaluator as evaluator import lm_eval.evaluator as evaluator
import random import random
import pytest import pytest
...@@ -15,8 +19,10 @@ import pytest ...@@ -15,8 +19,10 @@ import pytest
def test_evaluator(taskname, task_class): def test_evaluator(taskname, task_class):
task_dict = tasks.get_task_dict([taskname]) task_dict = tasks.get_task_dict([taskname])
os.system("rm test_cache.db") # TODO: re-add cachingLM
lm = base.CachingLM(models.get_model("dummy")(), "test_cache.db") # os.system("rm test_cache.db")
# lm = base.CachingLM(models.get_model("dummy")(), "test_cache.db")
lm = registry.get_model("dummy")()
def ll_fn(reqs): def ll_fn(reqs):
for ctx, cont in reqs: for ctx, cont in reqs:
......
import pytest import pytest
import lm_eval.metrics as metrics import lm_eval.api.metrics as metrics
import random import random
......
import lm_eval.tasks as tasks import lm_eval.tasks as tasks
import lm_eval.base as base
import pytest import pytest
from itertools import islice from itertools import islice
...@@ -100,5 +100,5 @@ def test_documents_and_requests(taskname, task_class): ...@@ -100,5 +100,5 @@ def test_documents_and_requests(taskname, task_class):
reqs = [reqs] reqs = [reqs]
# todo: mock lm after refactoring evaluator.py to not be a mess # todo: mock lm after refactoring evaluator.py to not be a mess
for req in reqs: # for req in reqs:
assert isinstance(req, base.Request) # assert isinstance(req, base.Request)
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