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transforms_unit_test.py
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#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# @lint-ignore-every UTF8
import json
import os
import random
import unittest
from copy import deepcopy
from typing import Any, Dict, List
from augly import text as txtaugs
from augly.text.augmenters.utils import Encoding
from augly.utils import TEXT_METADATA_PATH
from nlpaug.util import Method
def are_equal_metadata(
actual_meta: List[Dict[str, Any]], expected_meta: List[Dict[str, Any]]
) -> bool:
if actual_meta == expected_meta:
return True
for actual_dict, expected_dict in zip(actual_meta, expected_meta):
for (act_k, act_v), (exp_k, exp_v) in zip(
sorted(actual_dict.items(), key=lambda kv: kv[0]),
sorted(expected_dict.items(), key=lambda kv: kv[0]),
):
if act_k != exp_k:
return False
if act_v == exp_v:
continue
"""
Allow relative paths in expected metadata: just check that the end of the
actual path matches the expected path
"""
if not (
isinstance(act_v, str)
and isinstance(exp_v, str)
and os.path.normpath(act_v[-len(exp_v) :]).split(os.path.sep)
== os.path.normpath(exp_v).split(os.path.sep)
):
return False
return True
class TransformsTextUnitTest(unittest.TestCase):
def test_import(self) -> None:
try:
from augly.text import transforms
except ImportError:
self.fail("transforms failed to import")
self.assertTrue(dir(transforms))
def setUp(self):
self.metadata = []
self.maxDiff = None
random.seed(123)
@classmethod
def setUpClass(cls):
super().setUpClass()
with open(TEXT_METADATA_PATH, "r") as f:
cls.expected_metadata = json.load(f)
cls.texts = ["The quick brown 'fox' couldn't jump over the green, grassy hill."]
cls.priority_words = ["green", "grassy", "hill"]
cls.fairness_texts = [
"The king and queen have a son named Raj and a daughter named Amanda.",
]
def test_ApplyLambda(self) -> None:
augmented_apply_lambda = txtaugs.ApplyLambda()(
self.texts, metadata=self.metadata
)
self.assertTrue(augmented_apply_lambda[0] == self.texts[0])
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["apply_lambda"]),
)
def test_ChangeCase(self) -> None:
augmented_words = txtaugs.ChangeCase(
granularity="char", cadence=5.0, case="random"
)(self.texts, metadata=self.metadata)
self.assertTrue(
augmented_words[0]
== "The qUick brown 'fox' couldn't jump over the Green, graSsy hill."
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["change_case"])
)
def test_Contractions(self) -> None:
augmented_words = txtaugs.Contractions(aug_p=1.0)(
["I would call him but I do not know where he has gone"],
metadata=self.metadata,
)
self.assertTrue(
augmented_words[0] == "I'd call him but I don't know where he's gone"
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["contractions"])
)
def test_Compose(self) -> None:
random.seed(1)
augmented_compose = txtaugs.Compose(
[
txtaugs.OneOf([txtaugs.ReplaceSimilarChars(), txtaugs.SimulateTypos()]),
txtaugs.InsertPunctuationChars(),
txtaugs.ReplaceFunFonts(),
]
)(self.texts, metadata=self.metadata)
self.assertEqual(
augmented_compose,
[
"T... h... e...... u... q... i... c... k...... b... r... o... w... "
"n...... '... f... o... x... '...... c... o... u... d... n... '...... "
"t...... j... u... m... p...... o... v... e... f...... t... j... e......"
" g... r... e... e... n...,...... g... r... a... s... s... y...... h... "
"i...,... l...."
],
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["compose"]),
)
def test_Base64_Sentence(self) -> None:
augmented_text = txtaugs.EncodeTextTransform(
aug_min=1,
aug_max=1,
aug_p=1.0,
method=Method.SENTENCE,
encoder=Encoding.BASE64,
n=1,
p=1.0,
)(
["Hello, world!"],
metadata=self.metadata,
)
self.assertTrue(augmented_text[0] == "SGVsbG8sIHdvcmxkIQ==")
self.expected_metadata["encode_text"][0]["encoder"] = Encoding.BASE64
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["encode_text"])
)
def test_Base64_Word(self) -> None:
self.metadata = []
augmented_text = txtaugs.EncodeTextTransform(
aug_min=1,
aug_max=1,
aug_p=1.0,
method=Method.WORD,
encoder=Encoding.BASE64,
n=1,
p=1.0,
)(
["Hello, world!"],
metadata=self.metadata,
)
self.assertEqual(augmented_text[0], "SGVsbG8=, world!")
metadata_expected = deepcopy(self.expected_metadata["encode_text"])
metadata_expected[0]["method"] = "word"
metadata_expected[0]["encoder"] = Encoding.BASE64
self.assertTrue(are_equal_metadata(self.metadata, metadata_expected))
def test_Base64_Char(self) -> None:
self.metadata = []
augmented_text = txtaugs.EncodeTextTransform(
aug_min=1,
aug_max=1,
aug_p=1.0,
method=Method.CHAR,
encoder=Encoding.BASE64,
n=1,
p=1.0,
)(
["Hello, world!"],
metadata=self.metadata,
)
self.assertEqual(augmented_text[0], "SA==ello LA== wocg==ld IQ==")
expected_metadata = deepcopy(self.expected_metadata["encode_text"])
expected_metadata[0]["method"] = "char"
expected_metadata[0]["encoder"] = Encoding.BASE64
self.assertTrue(are_equal_metadata(self.metadata, expected_metadata))
def test_GetBaseline(self) -> None:
augmented_baseline = txtaugs.GetBaseline()(self.texts, metadata=self.metadata)
self.assertTrue(
augmented_baseline[0]
== "The quick brown 'fox' couldn't jump over the green, grassy hill."
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["get_baseline"]),
)
def test_InsertPunctuationChars(self) -> None:
aug_punc_text = txtaugs.InsertPunctuationChars("all", 1.0, False)(
self.texts, metadata=self.metadata
)
# Separator inserted between every character (including spaces/punctuation).
self.assertEqual(
aug_punc_text,
[
"T?h?e? ?q?u?i?c?k? ?b?r?o?w?n? ?'?f?o?x?'? ?c?o?u?l?d?n?'?t? "
"?j?u?m?p? ?o?v?e?r? ?t?h?e? ?g?r?e?e?n?,? ?g?r?a?s?s?y? ?h?i?l?l?."
],
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["insert_punctuation_chars"]
),
)
def test_InsertText(self) -> None:
aug_inserted_text = txtaugs.InsertText(seed=42)(
self.texts, metadata=self.metadata, insert_text=["wolf", "sheep"]
)
self.assertEqual(
aug_inserted_text,
["wolf The quick brown 'fox' couldn't jump over the green, grassy hill."],
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["insert_text"]),
)
def test_InsertWhitespaceChars(self) -> None:
aug_whitespace_text = txtaugs.InsertWhitespaceChars("all", 1.0, False)(
self.texts, metadata=self.metadata
)
# Separator inserted between every character (including spaces/punctuation).
self.assertEqual(
aug_whitespace_text,
[
"T h e q u i c k b r o w n ' f o x ' c o u l d n ' t "
"j u m p o v e r t h e g r e e n , g r a s s y h i l l ."
],
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["insert_whitespace_chars"]
),
)
def test_InsertZeroWidthChars(self) -> None:
aug_unicode_text = txtaugs.InsertZeroWidthChars("all", 1.0, False)(
self.texts, metadata=self.metadata
)
# Separator inserted between every character (including spaces/punctuation).
# Renders as: "The quick brown 'fox' couldn't jump over the green, grassy hill."
self.assertEqual(
aug_unicode_text,
[
"T\u200ch\u200ce\u200c \u200cq\u200cu\u200ci\u200cc\u200ck\u200c "
"\u200cb\u200cr\u200co\u200cw\u200cn\u200c \u200c'\u200cf\u200co"
"\u200cx\u200c'\u200c \u200cc\u200co\u200cu\u200cl\u200cd\u200cn"
"\u200c'\u200ct\u200c \u200cj\u200cu\u200cm\u200cp\u200c \u200co"
"\u200cv\u200ce\u200cr\u200c \u200ct\u200ch\u200ce\u200c \u200cg"
"\u200cr\u200ce\u200ce\u200cn\u200c,\u200c \u200cg\u200cr\u200ca"
"\u200cs\u200cs\u200cy\u200c \u200ch\u200ci\u200cl\u200cl\u200c."
],
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["insert_zero_width_chars"]
),
)
def test_LeetSpeak_Sentence(self) -> None:
augmented_text = txtaugs.EncodeTextTransform(
aug_min=1,
aug_max=1,
aug_p=1.0,
method=Method.SENTENCE,
encoder=Encoding.LEETSPEAK,
n=1,
p=1.0,
)(
["Hello, world!"],
metadata=self.metadata,
)
self.assertTrue(augmented_text[0] == "h3110, w0r1d!")
self.expected_metadata["encode_text"][0]["encoder"] = Encoding.LEETSPEAK
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["encode_text"])
)
def test_Leetspeak_Word(self) -> None:
self.metadata = []
augmented_text = txtaugs.EncodeTextTransform(
aug_min=1,
aug_max=1,
aug_p=1.0,
method=Method.WORD,
encoder=Encoding.LEETSPEAK,
n=1,
p=1.0,
)(
["Hello, world!"],
metadata=self.metadata,
)
self.assertEqual(augmented_text[0], "h3110, world!")
metadata_expected = deepcopy(self.expected_metadata["encode_text"])
metadata_expected[0]["method"] = "word"
metadata_expected[0]["encoder"] = Encoding.LEETSPEAK
self.assertTrue(are_equal_metadata(self.metadata, metadata_expected))
def test_MergeWords(self) -> None:
aug_merge_words = txtaugs.MergeWords(aug_word_p=0.3)(
self.texts, metadata=self.metadata
)
self.assertTrue(
aug_merge_words[0]
== "The quickbrown 'fox' couldn'tjump overthe green, grassy hill."
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["merge_words"]),
)
def test_ReplaceBidirectional(self) -> None:
aug_bidirectional_text = txtaugs.ReplaceBidirectional()(
self.texts, metadata=self.metadata
)
# Renders as: ".llih yssarg ,neerg eht revo pmuj t'ndluoc 'xof' nworb kciuq ehT"
self.assertEqual(
aug_bidirectional_text,
[
"\u202e.llih yssarg ,neerg eht revo pmuj t'ndluoc 'xof' nworb "
"kciuq ehT\u202c"
],
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["replace_bidirectional"]
),
)
def test_ReplaceFunFonts(self) -> None:
aug_fun_fonts = txtaugs.ReplaceFunFonts(aug_p=0.8, vary_fonts=False, n=1)(
self.texts, metadata=self.metadata
)
self.assertTrue(
aug_fun_fonts[0]
== "𝑻𝒉𝒆 𝒒𝒖𝒊𝒄𝒌 𝒃𝒓𝒐𝒘𝒏 '𝒇𝒐𝒙' 𝒄𝒐𝒖𝒍𝒅𝒏'𝒕 𝒋𝒖𝒎𝒑 𝒐𝒗𝒆𝒓 𝒕𝒉𝒆 𝒈𝒓𝒆𝒆𝒏, 𝒈𝒓𝒂𝒔𝒔𝒚 𝒉𝒊𝒍𝒍."
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["replace_fun_fonts"]
),
)
def test_ReplaceSimilarChars(self) -> None:
aug_chars = txtaugs.ReplaceSimilarChars(aug_word_p=0.3, aug_char_p=0.3)(
self.texts, metadata=self.metadata
)
self.assertTrue(
aug_chars[0]
== "The quick brown 'fox' coul|)n't jump 0ver the green, grassy hill."
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["replace_similar_chars"]
),
)
def test_ReplaceSimilarUnicodeChars(self) -> None:
aug_unicode_chars = txtaugs.ReplaceSimilarUnicodeChars(
aug_word_p=0.3, aug_char_p=0.3
)(self.texts, metadata=self.metadata)
self.assertTrue(
aug_unicode_chars[0]
== "The ℚuick brown 'fox' coul₫n't jump ov६r the green, grassy hill."
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["replace_similar_unicode_chars"]
),
)
def test_ReplaceText(self) -> None:
texts = [
"The quick brown 'fox' couldn't jump over the green, grassy hill.",
"The quick brown",
"jump over the green",
]
replace_texts = {
"couldn't jump": "jumped",
"jump over the blue": "jump over the red",
"The quick brown": "The slow green",
}
aug_replaced_text = txtaugs.ReplaceText(replace_texts)(
texts=texts, metadata=self.metadata
)
self.assertEqual(
aug_replaced_text, [texts[0], replace_texts[texts[1]], texts[2]]
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["replace_text"]),
)
def test_ReplaceUpsideDown(self) -> None:
aug_upside_down_text = txtaugs.ReplaceUpsideDown()(
self.texts, metadata=self.metadata
)
self.assertTrue(
aug_upside_down_text[0]
== "˙llᴉɥ ʎssɐɹɓ 'uǝǝɹɓ ǝɥʇ ɹǝʌo dɯnɾ ʇ,uplnoɔ ,xoɟ, uʍoɹq ʞɔᴉnb ǝɥꞱ"
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["replace_upside_down"]
),
)
def test_ReplaceWords(self) -> None:
augmented_words = txtaugs.ReplaceWords()(self.texts, metadata=self.metadata)
self.assertTrue(augmented_words[0] == self.texts[0])
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["replace_words"]),
)
def test_SimulateTypos(self) -> None:
aug_typo_text = txtaugs.SimulateTypos(
aug_word_p=0.3, aug_char_p=0.3, typo_type="all"
)(self.texts, metadata=self.metadata)
self.assertTrue(
aug_typo_text[0]
== "Thw qu(ck brown 'fox' co)uldn' t jamp over the green, grassy hill.",
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["simulate_typos"]),
)
def test_SplitWords(self) -> None:
aug_split_words = txtaugs.SplitWords(aug_word_p=0.3)(
self.texts, metadata=self.metadata
)
self.assertTrue(
aug_split_words[0]
== "The quick b rown 'fox' couldn' t j ump over the green, gras sy hill."
)
self.assertTrue(
are_equal_metadata(self.metadata, self.expected_metadata["split_words"]),
)
def test_SwapGenderedWords(self) -> None:
augmented_words = txtaugs.SwapGenderedWords()(
self.fairness_texts, metadata=self.metadata
)
self.assertTrue(
augmented_words[0]
== "The queen and king have a daughter named Raj and a son named Amanda.",
)
self.assertTrue(
are_equal_metadata(
self.metadata, self.expected_metadata["swap_gendered_words"]
),
)
if __name__ == "__main__":
unittest.main()