mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-19 12:58:07 +00:00
dced3bfc45
* init * fix tests * unify codeio * filtered for libraries not present in reasoning-gym * fix more bounds * puzzle24 * knight swap curriculum * fix number sorting * fix attributes * add validation of config in creation of dataset * dry run for instantiating and validating the datasets * remove unused imports * fix curriculum tests to reference newly updated attribute names
137 lines
4.5 KiB
Python
137 lines
4.5 KiB
Python
from random import Random
|
|
|
|
import pytest
|
|
|
|
from reasoning_gym.coaching.base_curriculum import DefaultCurriculumContext, RangeAttributeMode
|
|
from reasoning_gym.games.emoji_mystery import EmojiMysteryConfig, EmojiMysteryCurriculum, EmojiMysteryDataset
|
|
|
|
|
|
def test_emoji_mystery_config_validation():
|
|
"""Test that config validation works"""
|
|
config = EmojiMysteryConfig(size=-1)
|
|
with pytest.raises(AssertionError):
|
|
config.validate()
|
|
|
|
|
|
def test_emoji_mystery_deterministic():
|
|
"""Test that dataset generates same items with same seed"""
|
|
config = EmojiMysteryConfig(seed=42, size=10)
|
|
dataset1 = EmojiMysteryDataset(config)
|
|
dataset2 = EmojiMysteryDataset(config)
|
|
|
|
for i in range(len(dataset1)):
|
|
assert dataset1[i] == dataset2[i]
|
|
|
|
|
|
def test_emoji_mystery_items():
|
|
"""Test basic properties of generated items"""
|
|
config = EmojiMysteryConfig(size=100, seed=42)
|
|
dataset = EmojiMysteryDataset(config)
|
|
|
|
for i in range(len(dataset)):
|
|
item = dataset[i]
|
|
assert isinstance(item, dict)
|
|
assert "question" in item
|
|
assert "answer" in item
|
|
assert isinstance(item["question"], str)
|
|
assert isinstance(item["answer"], str)
|
|
|
|
|
|
def test_emoji_mystery_iteration():
|
|
"""Test that iteration respects dataset size"""
|
|
config = EmojiMysteryConfig(size=5, seed=42) # Small size for testing
|
|
dataset = EmojiMysteryDataset(config)
|
|
|
|
# Test manual iteration
|
|
items = []
|
|
for item in dataset:
|
|
items.append(item)
|
|
assert len(items) == config.size, "Iterator should yield exactly size items"
|
|
|
|
# Test list conversion
|
|
items = list(dataset)
|
|
assert len(items) == config.size, "Iterator should yield exactly size items"
|
|
|
|
# Test multiple iterations
|
|
first_items = list(dataset)
|
|
second_items = list(dataset)
|
|
assert first_items == second_items, "Multiple iterations should yield same items"
|
|
|
|
|
|
def test_emoji_mystery_encoding_decoding():
|
|
"""Test the encoding and decoding functionality"""
|
|
config = EmojiMysteryConfig()
|
|
dataset = EmojiMysteryDataset(config)
|
|
|
|
# Test with a simple sentence
|
|
test_sentence = "Hello, World!"
|
|
test_emoji = "😀"
|
|
|
|
# Test encoding
|
|
encoded = dataset.encode(test_sentence, test_emoji)
|
|
assert encoded.startswith(test_emoji)
|
|
|
|
# Test decoding
|
|
decoded = dataset.decode(encoded)
|
|
assert decoded == test_sentence
|
|
|
|
# Test with various sentences
|
|
test_cases = [
|
|
"A simple test.",
|
|
"More complex sentence with numbers 123!",
|
|
"Special characters: @#$%^&*()",
|
|
]
|
|
|
|
for sentence in test_cases:
|
|
encoded = dataset.encode(sentence, test_emoji)
|
|
decoded = dataset.decode(encoded)
|
|
assert decoded == sentence
|
|
|
|
|
|
def test_emoji_mystery_scoring():
|
|
"""Test the scoring functionality"""
|
|
config = EmojiMysteryConfig()
|
|
dataset = EmojiMysteryDataset(config)
|
|
|
|
# Test exact match
|
|
entry = {"answer": "Test answer"}
|
|
assert dataset.score_answer("Test answer", entry) == 1.0
|
|
|
|
# Test partial match
|
|
assert dataset.score_answer("Test answe", entry) == 0.01 # Different length
|
|
|
|
# Test None answer
|
|
assert dataset.score_answer(None, entry) == 0.0
|
|
|
|
|
|
def test_emoji_mystery_curriculum():
|
|
"""Test the emoji mystery curriculum functionality"""
|
|
curriculum = EmojiMysteryCurriculum()
|
|
|
|
base_value = {"size": 150, "seed": 1}
|
|
|
|
# Test base configuration
|
|
context = DefaultCurriculumContext(mode=RangeAttributeMode.UPPER_BOUND)
|
|
base_cfg: EmojiMysteryConfig = curriculum.generate_configuration(base_value, context=context)
|
|
assert base_cfg.seed == 1
|
|
assert base_cfg.size == 150
|
|
assert base_cfg.min_words_in_sentence == 5
|
|
assert base_cfg.max_words_in_sentence == 10
|
|
|
|
# Test incrementing attribute level
|
|
curriculum.increment_attr_level("num_words_in_sentence")
|
|
increased_cfg = curriculum.generate_configuration(base_value, context=context)
|
|
assert increased_cfg.min_words_in_sentence == 10
|
|
assert increased_cfg.max_words_in_sentence == 20
|
|
|
|
# Test incrementing attribute level again
|
|
curriculum.increment_attr_level("num_words_in_sentence")
|
|
double_increased_cfg = curriculum.generate_configuration(base_value, context=context)
|
|
assert double_increased_cfg.min_words_in_sentence == 20
|
|
assert double_increased_cfg.max_words_in_sentence == 30
|
|
|
|
# Test decrementing attribute level
|
|
curriculum.decrement_attr_level("num_words_in_sentence")
|
|
decreased_cfg = curriculum.generate_configuration(base_value, context=context)
|
|
assert decreased_cfg.min_words_in_sentence == 10
|
|
assert decreased_cfg.max_words_in_sentence == 20
|