def test_unicode_9():
# This string is 'bɪg'.upper() in Python 3.6 or later, containing the
# new codepoint U+A7AE LATIN CAPITAL LETTER SMALL CAPITAL I.
assert sequence_weirdness("BꞮG") == 0
# That should be less weird than having a definitely-unassigned character
# in the string.
assert sequence_weirdness("B\U00090000G") == 2
def test_unicode_9():
# This string is 'bɪg'.upper() in Python 3.6 or later, containing the
# new codepoint U+A7AE LATIN CAPITAL LETTER SMALL CAPITAL I.
eq_(sequence_weirdness("BꞮG"), 0)
# That should be less weird than having a definitely-unassigned character
# in the string.
eq_(sequence_weirdness("B\U00090000G"), 2)
def test_unicode_10():
# This string is the word "thalīṃ" in the Zanabazar Square Script,
# a script added in Unicode 10. These characters are recognized as being
# assigned by Python 3.7, and therefore ftfy should recognize them on
# all versions for consistency.
thalim = "\U00011A1A\U00011A2C\U00011A01\U00011A38"
assert sequence_weirdness(thalim) == 0
def test_unicode_10():
# This string is the word "thalīṃ" in the Zanabazar Square Script,
# a script added in Unicode 10. These characters are recognized as being
# assigned by Python 3.7, and therefore ftfy should recognize them on
# all versions for consistency.
thalim = "\U00011A1A\U00011A2C\U00011A01\U00011A38"
assert sequence_weirdness(thalim) == 0
def is_mojibake(field):
"""Determines whether a string contains mojibake.
We commonly deal with CSV files that were *encoded* in UTF-8, but decoded
as something else like CP-1252 (Windows Latin). This manifests in the form
of "mojibake", for example:
- CIAT Publicaçao
- CIAT Publicación
This uses the excellent "fixes text for you" (ftfy) library to determine
whether a string contains characters that have been encoded in one encoding
and decoded in another.
Inspired by this code snippet from Martijn Pieters on StackOverflow:
https://stackoverflow.com/questions/29071995/identify-garbage-unicode-string-using-python
Return boolean.
"""
if not sequence_weirdness(field):
# Nothing weird, should be okay
return False
try:
field.encode("sloppy-windows-1252")
except UnicodeEncodeError:
# Not CP-1252 encodable, probably fine
return False
else:
# Encodable as CP-1252, Mojibake alert level high
return True
def test_bmp_characters():
for index in range(0xa0, 0xfffd):
char = unichr(index)
# Exclude code points that are not assigned
if unicodedata.category(char) not in ('Co', 'Cn', 'Cs', 'Mc', 'Mn', 'Sk'):
garble = char.encode('utf-8').decode('latin-1')
# Exclude characters whose re-encoding is protected by the
# 'sequence_weirdness' metric
if sequence_weirdness(garble) >= 0:
garble2 = char.encode('utf-8').decode('latin-1').encode('utf-8').decode('latin-1')
for garb in (garble, garble2):
fixed, plan = fix_encoding_and_explain(garb)
eq_(fixed, char)
eq_(apply_plan(garb, plan), char)
def test_bmp_characters():
for index in range(0xa0, 0xfffd):
char = unichr(index)
# Exclude code points that are not assigned
if unicodedata.category(char) not in ('Co', 'Cn', 'Cs', 'Mc', 'Mn'):
garble = char.encode('utf-8').decode('latin-1')
# Exclude characters whose re-encoding is protected by the
# 'sequence_weirdness' metric
if sequence_weirdness(garble) >= 0:
garble2 = char.encode('utf-8').decode('latin-1').encode('utf-8').decode('latin-1')
for garb in (garble, garble2):
fixed, plan = fix_encoding_and_explain(garb)
eq_(fixed, char)
eq_(apply_plan(garb, plan), char)
def test_unicode_11():
# Unicode 11 has implemented the mtavruli form of the Georgian script.
# They are analogous to capital letters in that they can be used to
# emphasize text or write a headline.
#
# Python will convert to that form when running .upper() on Georgian text,
# starting in version 3.7.0. We want to recognize the result as reasonable
# text on all versions.
#
# This text is the mtavruli form of "ქართული ენა", meaning "Georgian
# language".
georgian_mtavruli_text = 'ᲥᲐᲠᲗᲣᲚᲘ ᲔᲜᲐ'
assert sequence_weirdness(georgian_mtavruli_text) == 0
mojibake = georgian_mtavruli_text.encode('utf-8').decode('sloppy-windows-1252')
assert fix_encoding(mojibake) == georgian_mtavruli_text
def test_unicode_11():
# Unicode 11 has implemented the mtavruli form of the Georgian script.
# They are analogous to capital letters in that they can be used to
# emphasize text or write a headline.
#
# Python will convert to that form when running .upper() on Georgian text,
# starting in version 3.7.0. We want to recognize the result as reasonable
# text on all versions.
#
# This text is the mtavruli form of "ქართული ენა", meaning "Georgian
# language".
georgian_mtavruli_text = 'ᲥᲐᲠᲗᲣᲚᲘ ᲔᲜᲐ'
assert sequence_weirdness(georgian_mtavruli_text) == 0
mojibake = georgian_mtavruli_text.encode('utf-8').decode(
'sloppy-windows-1252')
assert fix_encoding(mojibake) == georgian_mtavruli_text
def test_emoji_skintone_selector():
# Dear heuristic, you can't call skin-tone selectors weird anymore.
# We welcome Santa Clauses of all colors.
eq_(sequence_weirdness('🎅🏿🎅🏽🎅🏼🎅🏻'), 0)
def test_emoji_variation_selector():
# The hearts here are explicitly marked as emoji using the variation
# selector U+FE0F. This is not weird.
eq_(sequence_weirdness('❤\ufe0f' * 10), 0)
def is_string_encoding_corrupted(text):
"""Returns True iff the provided text contains corrupted characters"""
return sequence_weirdness(
text.encode('sloppy-windows-1252').decode('gb2312', 'replace')) > 0
def test_emoji_skintone_selector():
# Dear heuristic, you can't call skin-tone selectors weird anymore.
# We welcome Santa Clauses of all colors.
assert sequence_weirdness('🎅🏿🎅🏽🎅🏼🎅🏻') == 0
def test_emoji_variation_selector():
# The hearts here are explicitly marked as emoji using the variation
# selector U+FE0F. This is not weird.
assert sequence_weirdness('❤\ufe0f' * 10) == 0
def main():
ignore_files = [
"train_correct.txt", "train_error.txt", "validation_correct.txt",
"validation_error.txt"
]
lines = []
dirs = glob.glob("*.txt")
for f in ignore_files:
dirs.remove(f)
print("Successfully read lines from the following files:")
for filename in dirs:
d = os.path.join(os.getcwd(), filename)
with open(d, "r", encoding='UTF-8') as f:
if filename != "nmt_combined.txt":
for r_l in f:
split_l = r_l.split("\t")
line = unidecode(split_l[0].strip())
lines.append(line)
else:
spl_lines = f.read().splitlines()
for l in spl_lines:
lines.append(unidecode(l))
print(filename)
lines = list(OrderedDict.fromkeys(lines)) # removes all duplicates
corrupted_lines = []
for i in range(len(lines) - 1, -1, -1): # remove all corrupted lines
if sequence_weirdness(lines[i]) != 0:
corrupted_lines.append(lines[i])
del (lines[i])
with open("corrupted_lines", "w") as f:
for i in corrupted_lines:
f.write(i + "\n")
print("Removed {} corrupted lines".format(len(corrupted_lines)))
print("Corrupted lines extracted and written to corrected_lines")
print("Extracted {} unique clean lines".format(len(lines)))
#import pdb; pdb.set_trace()
num_dups = 3
lines = [val for val in lines
for _ in range(num_dups)] # create duplicates
print("Creating {} duplicates for every clean line".format(num_dups))
print("Total clean lines now: {}".format(len(lines)))
#lines = lines[:1000]
noised_lines = []
chunk_size = int(max(len(lines) / 10, 1))
manager = Manager()
process_dict = manager.dict()
process_list = []
for i in range(0, len(lines), chunk_size):
process_dict[i] = []
index = min(i + chunk_size, len(lines))
p = Process(target=noise_generator,
args=(lines[i:index], i, process_dict))
process_list.append(p)
print("Generating noise - {} processes spawned for noise generation...".
format(len(process_list)))
for p in process_list:
p.start()
for p in process_list:
p.join()
for k, v in process_dict.items():
noised_lines.extend(v)
c = list(zip(noised_lines, lines))
random.shuffle(c)
noised_lines, lines = zip(*c)
train_thres = int(len(lines) * (85 / 100))
with open("validation_error.txt", "w",
encoding="utf-8") as f, open("validation_correct.txt",
"w",
encoding="utf-8") as f2:
for l in noised_lines[train_thres:]:
f.write(l.strip() + "\n")
for l in lines[train_thres:]:
f2.write(l.strip() + "\n")
with open("train_error.txt", "w",
encoding="utf-8") as f, open("train_correct.txt",
"w",
encoding="utf-8") as f2:
for l in noised_lines[:train_thres]:
f.write(l.strip() + "\n")
for l in lines[:train_thres]:
f2.write(l.strip() + "\n")
print(
"Created the following files: validation_error.txt, validation_correct.txt, train_correct.txt, train_error.txt"
)