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corruptor_api_unittests.py
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import os
import unittest
import numpy as np
from sage.spelling_corruption.sbsc.labeler import process_mistypings
from sage.spelling_corruption import CharAugConfig, WordAugConfig, SBSCConfig
from sage.utils.data_load_utils import load_available_dataset_from_hf
from sage.utils.utils import draw_and_save_errors_distributions_comparison_charts
from sage.spelling_corruption import WordAugCorruptor, CharAugCorruptor, SBSCCorruptor
SEED = 0
class CorruptorApiTests(unittest.TestCase):
sentence = "я пошел домой"
sentences = [sentence] * 3
n_tests = 10
sources, corrections = load_available_dataset_from_hf("RUSpellRU", for_labeler=True, split="train")
ruspellru_stats, ruspellru_confusion_matrix, ruspellru_typos_cnt = process_mistypings(sources, corrections)
def _draw_generated_distributions(self, corruptor, file_name):
spoiled_sentences = corruptor.batch_corrupt(self.corrections, seed=SEED)
ours_ruspellru_stats, ours_ruspellru_confusion_matrix, ours_ruspellru_typos_cnt = \
process_mistypings(spoiled_sentences, self.corrections)
draw_and_save_errors_distributions_comparison_charts(
actual_typos_cnt=ours_ruspellru_typos_cnt,
reference_typos_cnt=self.ruspellru_typos_cnt,
actual_stats=ours_ruspellru_stats,
reference_stats=self.ruspellru_stats,
path_to_save=file_name
)
def _test_generation_correct(self, corruptor):
res = corruptor.corrupt(self.sentence)
self.assertEqual(type(res), str)
res = corruptor.batch_corrupt(self.sentences)
self.assertEqual(3, len(res))
def test_word_augmenter(self):
default_config = WordAugConfig()
corruptor = WordAugCorruptor.from_default_config()
self.assertEqual(corruptor.engine.min_aug, default_config.min_aug)
self.assertEqual(corruptor.engine.max_aug, default_config.max_aug)
self.assertEqual(corruptor.engine.unit_prob, default_config.unit_prob)
self._test_generation_correct(corruptor)
config = WordAugConfig(min_aug=2, max_aug=6, unit_prob=0.1)
corruptor = WordAugCorruptor.from_config(config)
self.assertEqual(corruptor.engine.min_aug, config.min_aug)
self.assertEqual(corruptor.engine.max_aug, config.max_aug)
self.assertEqual(corruptor.engine.unit_prob, config.unit_prob)
self._test_generation_correct(corruptor)
def test_char_augmenter(self):
default_config = CharAugConfig()
corruptor = CharAugCorruptor.from_default_config()
self.assertEqual(corruptor.engine.min_aug, default_config.min_aug)
self.assertEqual(corruptor.engine.max_aug, default_config.max_aug)
self.assertEqual(corruptor.engine.unit_prob, default_config.unit_prob)
self.assertEqual(corruptor.engine.mult_num, default_config.mult_num)
self._test_generation_correct(corruptor)
config = CharAugConfig(min_aug=2, max_aug=6, unit_prob=0.1, mult_num=3)
corruptor = CharAugCorruptor.from_config(config)
self.assertEqual(corruptor.engine.min_aug, config.min_aug)
self.assertEqual(corruptor.engine.max_aug, config.max_aug)
self.assertEqual(corruptor.engine.unit_prob, config.unit_prob)
self.assertEqual(corruptor.engine.mult_num, config.mult_num)
self._test_generation_correct(corruptor)
def test_sbsc_corruptor(self):
# From custom stats
typos_count = [3]
stats = {
"insertion": {
"abs": [0], "rel": [np.random.uniform(high=0.1)]
},
"deletion": {
"abs": [2], "rel": [np.random.uniform(low=0.2, high=0.3)]
},
"substitution": {
"abs": [1], "rel": [np.random.uniform(low=0.4, high=0.5)]
},
"transposition": {
"abs": [3], "rel": [np.random.uniform(low=0.6, high=0.7)]
},
"extra_separator": {
"abs": [4], "rel": [np.random.uniform(low=0.8, high=0.9)]
},
"missing_separator": {
"abs": [5], "rel": [np.random.uniform(low=0.9, high=1.)]
},
}
config = SBSCConfig(
typos_count=typos_count,
stats=stats,
confusion_matrix={" ": {" ": 1}},
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
# From txt files
config = SBSCConfig(
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests")
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
# From csv file
config = SBSCConfig(
reference_dataset_name_or_path=os.path.join(
os.getcwd(), "data", "sanity_check_samples", "corruptor_tests", "csv")
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
# From partial custom stats
config = SBSCConfig(
typos_count=None,
stats=stats,
confusion_matrix={" ": {" ": 1}},
skip_if_position_not_found=True,
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests"),
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
config = SBSCConfig(
typos_count=typos_count,
stats=None,
confusion_matrix={" ": {" ": 1}},
skip_if_position_not_found=True,
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests"),
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
config = SBSCConfig(
typos_count=typos_count,
stats=stats,
confusion_matrix=None,
skip_if_position_not_found=True,
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests"),
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
config = SBSCConfig(
typos_count=None,
stats=None,
confusion_matrix={" ": {" ": 1}},
skip_if_position_not_found=True,
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests"),
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
config = SBSCConfig(
typos_count=None,
stats=stats,
confusion_matrix=None,
skip_if_position_not_found=True,
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests")
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
config = SBSCConfig(
typos_count=typos_count,
stats=None,
confusion_matrix=None,
skip_if_position_not_found=True,
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests")
)
corruptor = SBSCCorruptor.from_config(config)
self._test_generation_correct(corruptor)
def test_sbsc_corruptor_batch_corrupt(self):
typos_count = [3]
stats = {
"insertion": {
"abs": [0], "rel": [np.random.uniform(high=0.1)]
},
"deletion": {
"abs": [2], "rel": [np.random.uniform(low=0.2, high=0.3)]
},
"substitution": {
"abs": [1], "rel": [np.random.uniform(low=0.4, high=0.5)]
},
"transposition": {
"abs": [3], "rel": [np.random.uniform(low=0.6, high=0.7)]
},
"extra_separator": {
"abs": [4], "rel": [np.random.uniform(low=0.8, high=0.9)]
},
"missing_separator": {
"abs": [5], "rel": [np.random.uniform(low=0.9, high=1.)]
},
}
config = SBSCConfig(
typos_count=typos_count,
stats=stats,
confusion_matrix={" ": {" ": 1}},
)
corruptor = SBSCCorruptor.from_config(config)
self._draw_generated_distributions(corruptor, "sbsc_random_stats.jpg")
config = SBSCConfig(
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests"),
)
corruptor = SBSCCorruptor.from_config(config)
self._draw_generated_distributions(corruptor, "sbsc_stats_from_txt.jpg")
config = SBSCConfig(
reference_dataset_name_or_path=os.path.join(
os.getcwd(), "data", "sanity_check_samples", "corruptor_tests", "csv"),
)
corruptor = SBSCCorruptor.from_config(config)
self._draw_generated_distributions(corruptor, "sbsc_stats_from_csv.jpg")
config = SBSCConfig(
typos_count=None,
stats=stats,
confusion_matrix={" ": {" ": 1}},
skip_if_position_not_found=True,
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "sanity_check_samples", "corruptor_tests"),
)
corruptor = SBSCCorruptor.from_config(config)
self._draw_generated_distributions(corruptor, "sbsc_custom_stats_typos_from_txt.jpg")
config = SBSCConfig(
reference_dataset_name_or_path="RUSpellRU",
reference_dataset_split="train"
)
corruptor = SBSCCorruptor.from_config(config)
self._draw_generated_distributions(corruptor, "sbsc_from_dataset.jpg")
# English version
en_config = SBSCConfig(
lang="en",
reference_dataset_name_or_path=os.path.join(os.getcwd(), "data", "example_data", "bea60k", "subsample")
)
corruptor = SBSCCorruptor.from_config(en_config)
with open(os.path.join(os.getcwd(), "data", "example_data", "bea60k", "subsample", "sources.txt")) as src:
sources = src.read().split("\n")
with open(os.path.join(os.getcwd(), "data", "example_data", "bea60k", "subsample", "corrections.txt")) as corr:
corrections = corr.read().split("\n")
bea_stats, bea_confusion_matrix, bea_typos_cnt = process_mistypings(sources, corrections)
spoiled_sentences = corruptor.batch_corrupt(corrections)
ours_bea_stats, ours_bea_confusion_matrix, ours_bea_typos_cnt = process_mistypings(spoiled_sentences, corrections)
draw_and_save_errors_distributions_comparison_charts(
actual_typos_cnt=ours_bea_typos_cnt,
reference_typos_cnt=bea_typos_cnt,
actual_stats=ours_bea_stats,
reference_stats=bea_stats,
path_to_save="bea60k.jpg"
)
with self.assertRaises(RuntimeError):
corruptor = SBSCCorruptor.from_config(
config=SBSCConfig(
reference_dataset_name_or_path=None,
)
)
def test_word_aug_batch_corrupt(self):
config = WordAugConfig(min_aug=2, max_aug=6, unit_prob=0.1)
corruptor = WordAugCorruptor.from_config(config)
self._draw_generated_distributions(corruptor, "word_aug.jpg")
config = CharAugConfig(min_aug=2, max_aug=6, unit_prob=0.1, mult_num=3)
corruptor = CharAugCorruptor.from_config(config)
self._draw_generated_distributions(corruptor, "char_aug.jpg")
if __name__ == '__main__':
unittest.main()