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f916af9836
mediawiki_dump_tools/wikiq
Will Beason f916af9836 Allow specifying output file basename instead of just directory 
This is optional, and doesn't impact existing users as preexisting
behavior when users specify an output directory is unchanged.

This makes tests not need to copy large files as part of their
execution, as they can ask files to be written to explicit
locations.

Signed-off-by: Will Beason <willbeason@gmail.com>
2025-06-02 14:13:13 -05:00

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#!/usr/bin/env python3
# original wikiq headers are: title articleid revid date_time anon
# editor editor_id minor text_size text_entropy text_md5 reversion
# additions_size deletions_size
import argparse
import sys
import os.path
import re
from datetime import datetime, timezone
from io import TextIOWrapper
from itertools import groupby
from subprocess import Popen, PIPE
from collections import deque
from hashlib import sha1
from typing import Any, IO, TextIO, Final
from mwxml import Dump
from deltas.tokenizers import wikitext_split
import mwpersistence
import mwreverts
from pyarrow import Array, Table, Schema, DataType
from pyarrow.parquet import ParquetWriter
TO_ENCODE = ('title', 'editor')
PERSISTENCE_RADIUS = 7
from deltas import SequenceMatcher
from deltas import SegmentMatcher
import dataclasses as dc
from dataclasses import dataclass
import pyarrow as pa
import pyarrow.parquet as pq
import pyarrow.csv as pc
class PersistMethod:
none = 0
sequence = 1
segment = 2
legacy = 3
def calculate_persistence(tokens_added):
return (sum([(len(x.revisions) - 1) for x in tokens_added]),
len(tokens_added))
class WikiqIterator:
def __init__(self, fh, collapse_user=False):
self.fh = fh
self.collapse_user = collapse_user
self.mwiterator = Dump.from_file(self.fh)
self.namespace_map = {ns.id: ns.name for ns in
self.mwiterator.site_info.namespaces}
self.__pages = self.load_pages()
def load_pages(self):
for page in self.mwiterator:
yield WikiqPage(page,
namespace_map=self.namespace_map,
collapse_user=self.collapse_user)
def __iter__(self):
return self.__pages
def __next__(self):
return next(self.__pages)
class WikiqPage:
__slots__ = ('id', 'title', 'namespace', 'redirect',
'restrictions', 'mwpage', '__revisions',
'collapse_user')
def __init__(self, page, namespace_map, collapse_user=False):
self.id = page.id
self.namespace = page.namespace
# following mwxml, we assume namespace 0 in cases where
# page.namespace is inconsistent with namespace_map
if page.namespace not in namespace_map:
self.title = page.title
page.namespace = 0
if page.namespace != 0:
self.title = ':'.join([namespace_map[page.namespace], page.title])
else:
self.title = page.title
self.restrictions = page.restrictions
self.collapse_user = collapse_user
self.mwpage = page
self.__revisions = self.rev_list()
@staticmethod
def user_text(rev) -> str | None:
return None if rev.deleted.user else rev.user.text
def rev_list(self):
# Outline for how we want to handle collapse_user=True
# iteration rev.user prev_rev.user add prev_rev?
# 0 A None Never
# 1 A A False
# 2 B A True
# 3 A B True
# 4 A A False
# Post-loop A Always
if not self.collapse_user:
for rev in self.mwpage:
yield [rev]
return
for _, revs in groupby(self.mwpage, self.user_text):
# All revisions are either from the same user, or this is a single
# revision where the user is missing.
yield revs
def __iter__(self):
return self.__revisions
def __next__(self):
return next(self.__revisions)
"""
A RegexPair is defined by a regular expression (pattern) and a label.
The pattern can include capture groups. If it does then each capture group will have a resulting column in the output.
If the pattern does not include a capture group, then only one output column will result.
"""
class RegexPair(object):
def __init__(self, pattern, label):
self.pattern = re.compile(pattern)
self.label = label
self.has_groups = bool(self.pattern.groupindex)
if self.has_groups:
self.capture_groups = list(self.pattern.groupindex.keys())
def get_pyarrow_fields(self):
if self.has_groups:
fields = [pa.field(self._make_key(cap_group), pa.string())
for cap_group in self.capture_groups]
else:
fields = [pa.field(self.label, pa.string())]
return fields
def _make_key(self, cap_group):
return "{}_{}".format(self.label, cap_group)
def matchmake(self, content, rev_data):
temp_dict = {}
# if there are named capture groups in the regex
if self.has_groups:
# if there are matches of some sort in this revision content, fill the lists for each cap_group
if self.pattern.search(content) is not None:
m = self.pattern.finditer(content)
matchobjects = list(m)
for cap_group in self.capture_groups:
key = self._make_key(cap_group)
temp_list = []
for match in matchobjects:
# we only want to add the match for the capture group if the match is not None
if match.group(cap_group) is not None:
temp_list.append(match.group(cap_group))
# if temp_list of matches is empty just make that column None
if len(temp_list) == 0:
temp_dict[key] = None
# else we put in the list we made in the for-loop above
else:
temp_dict[key] = ', '.join(temp_list)
# there are no matches at all in this revision content, we default values to None
else:
for cap_group in self.capture_groups:
key = self._make_key(cap_group)
temp_dict[key] = None
# there are no capture groups, we just search for all the matches of the regex
else:
# given that there are matches to be made
if type(content) in (str, bytes):
if self.pattern.search(content) is not None:
m = self.pattern.findall(content)
temp_dict[self.label] = ', '.join(m)
else:
temp_dict[self.label] = None
# update rev_data with our new columns
for k, v in temp_dict.items():
setattr(rev_data, k, v)
return rev_data
def pa_schema() -> pa.Schema:
fields = [
pa.field("revid", pa.int64()),
pa.field("date_time", pa.timestamp('s')),
pa.field("articleid", pa.int64()),
pa.field("editorid", pa.int64(), nullable=True),
pa.field("title", pa.string()),
pa.field("namespace", pa.int32()),
pa.field("deleted", pa.bool_()),
pa.field("text_chars", pa.int32()),
pa.field("comment_chars", pa.int32()),
pa.field("revert", pa.bool_(), nullable=True),
# reverteds is a string which contains a comma-separated list of reverted revision ids.
pa.field("reverteds", pa.string(), nullable=True),
pa.field("sha1", pa.string()),
pa.field("minor", pa.bool_()),
pa.field("editor", pa.string()),
pa.field("anon", pa.bool_())
]
return pa.schema(fields)
"""
We used to use a dictionary to collect fields for the output.
Now we use dataclasses. Compared to a dictionary, this should help:
- prevent some bugs
- make it easier to output parquet data.
- use class attribute '.' syntax instead of dictionary syntax.
- improve support for tooling (autocomplete, type hints)
- use type information to define formatting rules
Depending on the parameters passed into Wikiq, the output schema can be different.
Therefore, we need to end up constructing a dataclass with the correct output schema.
It also needs to have the correct pyarrow schema so we can write parquet files.
The RevDataBase type has all the fields that will be output no matter how wikiq is invoked.
"""
@dataclass()
class Revision:
revid: int
date_time: datetime
articleid: int
editorid: int
title: str
namespace: int
deleted: bool
text_chars: int | None = None
comment_chars: int | None = None
revert: bool | None = None
reverteds: str = None
sha1: str | None = None
minor: bool | None = None
editor: str | None = None
anon: bool | None = None
# defines pyarrow schema.
# each field in the data class needs an entry in this array.
# the names should match and be in the same order.
# this isn't a dataclass field since it doesn't have a type annotation
pa_schema_fields = [
pa.field("revid", pa.int64()),
pa.field("date_time", pa.timestamp('s')),
pa.field("articleid", pa.int64()),
pa.field("editorid", pa.int64(), nullable=True),
pa.field("title", pa.string()),
pa.field("namespace", pa.int32()),
pa.field("deleted", pa.bool_()),
pa.field("text_chars", pa.int32()),
# pa.field("comment_chars", pa.int32()),
pa.field("revert", pa.bool_(), nullable=True),
# reverteds is a string which contains a comma-separated list of reverted revision ids.
pa.field("reverteds", pa.string(), nullable=True),
pa.field("sha1", pa.string()),
pa.field("minor", pa.bool_()),
pa.field("editor", pa.string()),
pa.field("anon", pa.bool_())
]
# pyarrow is a columnar format, so most of the work happens in the flush_parquet_buffer function
def to_pyarrow(self) -> pa.RecordBatch:
d = dc.asdict(self)
lists = [[d[field.name]] for field in self.pa_schema_fields]
return pa.record_batch(lists, schema=pa.schema(self.pa_schema_fields))
"""
If collapse=True we'll use a RevDataCollapse dataclass.
This class inherits from RevDataBase. This means that it has all the same fields and functions.
It just adds a new field and updates the pyarrow schema.
"""
@dataclass()
class RevDataCollapse(Revision):
collapsed_revs: int = None
pa_collapsed_revs_schema = pa.field('collapsed_revs', pa.int64())
pa_schema_fields = Revision.pa_schema_fields + [pa_collapsed_revs_schema]
"""
If persistence data is to be computed we'll need the fields added by RevDataPersistence.
"""
@dataclass()
class RevDataPersistence(Revision):
token_revs: int = None
tokens_added: int = None
tokens_removed: int = None
tokens_window: int = None
pa_persistence_schema_fields = [
pa.field("token_revs", pa.int64()),
pa.field("tokens_added", pa.int64()),
pa.field("tokens_removed", pa.int64()),
pa.field("tokens_window", pa.int64())]
pa_schema_fields = Revision.pa_schema_fields + pa_persistence_schema_fields
"""
class RevDataCollapsePersistence uses multiple inheritance to make a class that has both persistence and collapse fields.
"""
@dataclass()
class RevDataCollapsePersistence(RevDataCollapse, RevDataPersistence):
pa_schema_fields = RevDataCollapse.pa_schema_fields + RevDataPersistence.pa_persistence_schema_fields
class WikiqParser:
def __init__(self,
input_file: TextIOWrapper | IO[Any] | IO[bytes],
output_file: TextIO | str,
regex_match_revision: list[str],
regex_match_comment: list[str],
regex_revision_label: list[str],
regex_comment_label: list[str],
collapse_user: bool = False,
persist: int = None,
namespaces: list[int] | None = None,
revert_radius: int = 15,
output_parquet: bool = True,
parquet_buffer_size: int = 2000):
"""
Parameters:
persist : what persistence method to use. Takes a PersistMethod value
"""
self.input_file = input_file
self.collapse_user: bool = collapse_user
self.persist: int = persist
self.namespaces = []
self.revert_radius = revert_radius
if namespaces is not None:
self.namespace_filter = set(namespaces)
else:
self.namespace_filter = None
self.regex_schemas = []
self.regex_revision_pairs = self.make_matchmake_pairs(regex_match_revision, regex_revision_label)
self.regex_comment_pairs = self.make_matchmake_pairs(regex_match_comment, regex_comment_label)
# This is where we set the type for revdata.
if self.collapse_user is True:
if self.persist == PersistMethod.none:
revdata_type = RevDataCollapse
else:
revdata_type = RevDataCollapsePersistence
elif self.persist != PersistMethod.none:
revdata_type = RevDataPersistence
else:
revdata_type = Revision
# if there are regex fields, we need to add them to the revdata type.
regex_fields = [(field.name, list[str], dc.field(default=None)) for field in self.regex_schemas]
# make_dataclass is a function that defines a new dataclass type.
# here we extend the type we have already chosen and add the regular expression types
self.revdata_type: type = dc.make_dataclass('RevData_Parser',
fields=regex_fields,
bases=(revdata_type,))
# we also need to make sure that we have the right pyarrow schema
self.revdata_type.pa_schema_fields = revdata_type.pa_schema_fields + self.regex_schemas
self.schema: Final[Schema] = pa.schema(self.revdata_type.pa_schema_fields)
# here we initialize the variables we need for output.
if output_parquet is True:
self.output_parquet = True
self.pq_writer = None
self.output_file = output_file
self.parquet_buffer = []
self.parquet_buffer_size = parquet_buffer_size
else:
self.print_header = True
if output_file == sys.stdout.buffer:
self.output_file = output_file
else:
self.output_file = open(output_file, 'wb')
self.output_parquet = False
def make_matchmake_pairs(self, patterns, labels):
if (patterns is not None and labels is not None) and \
(len(patterns) == len(labels)):
result = []
for pattern, label in zip(patterns, labels):
rp = RegexPair(pattern, label)
result.append(rp)
self.regex_schemas = self.regex_schemas + rp.get_pyarrow_fields()
return result
elif (patterns is None) and (labels is None):
return []
else:
sys.exit('Each regular expression *must* come with a corresponding label and vice versa.')
def matchmake_revision(self, rev, rev_data):
rev_data = self.matchmake_text(rev.text, rev_data)
rev_data = self.matchmake_comment(rev.comment, rev_data)
return rev_data
def matchmake_text(self, text, rev_data):
return self.matchmake_pairs(text, rev_data, self.regex_revision_pairs)
def matchmake_comment(self, comment, rev_data):
return self.matchmake_pairs(comment, rev_data, self.regex_comment_pairs)
def matchmake_pairs(self, text, rev_data, pairs):
for pair in pairs:
rev_data = pair.matchmake(text, rev_data)
return rev_data
def __get_namespace_from_title(self, title):
default_ns = None
for ns in self.namespaces:
# skip if the namespace is not defined
if ns is None:
default_ns = self.namespaces[ns]
continue
if title.startswith(ns + ":"):
return self.namespaces[ns]
# if we've made it this far with no matches, we return the default namespace
return default_ns
def process(self):
# create a regex that creates the output filename
# output_filename = re.sub(r'^.*/(enwiki\-\d+)\-.*p(\d+)p.*$',
# r'output/wikiq-\1-\2.tsv',
# input_filename)
# Construct dump file iterator
dump = WikiqIterator(self.input_file, collapse_user=self.collapse_user)
# extract list of namespaces
self.namespaces = {ns.name: ns.id for ns in dump.mwiterator.site_info.namespaces}
page_count = 0
rev_count = 0
writer: pq.ParquetWriter | pc.CSVWriter
if self.output_parquet:
writer = pq.ParquetWriter(self.output_file, self.schema, flavor='spark')
else:
writer = pc.CSVWriter(self.output_file, self.schema, write_options=pc.WriteOptions(delimiter='\t'))
# Iterate through pages
for page in dump:
namespace = page.namespace if page.namespace is not None else self.__get_namespace_from_title(page.title)
# skip namespaces not in the filter
if self.namespace_filter is not None:
if namespace not in self.namespace_filter:
continue
# Disable detecting reverts if radius is 0.
if self.revert_radius > 0:
rev_detector = mwreverts.Detector(radius=self.revert_radius)
else:
rev_detector = None
if self.persist != PersistMethod.none:
window = deque(maxlen=PERSISTENCE_RADIUS)
if self.persist == PersistMethod.sequence:
state = mwpersistence.DiffState(SequenceMatcher(tokenizer=wikitext_split),
revert_radius=PERSISTENCE_RADIUS)
elif self.persist == PersistMethod.segment:
state = mwpersistence.DiffState(SegmentMatcher(tokenizer=wikitext_split),
revert_radius=PERSISTENCE_RADIUS)
# self.persist == PersistMethod.legacy
else:
from mw.lib import persistence
state = persistence.State()
# Iterate through a page's revisions
prev_text_chars = 0
for revs in page:
revs = list(revs)
rev = revs[-1]
editorid = None if rev.deleted.user or rev.user.id is None else rev.user.id
# create a new data object instead of a dictionary.
rev_data: Revision = self.revdata_type(revid=rev.id,
date_time=datetime.fromtimestamp(rev.timestamp.unix(),
tz=timezone.utc),
articleid=page.id,
editorid=editorid,
title=page.title,
deleted=rev.deleted.text,
namespace=namespace
)
rev_data = self.matchmake_revision(rev, rev_data)
if not rev.deleted.text:
# rev.text can be None if the page has no text
if not rev.text:
rev.text = ""
# if text exists, we'll check for a sha1 and generate one otherwise
if rev.sha1:
text_sha1 = rev.sha1
else:
text_sha1 = sha1(bytes(rev.text, "utf8")).hexdigest()
rev_data.sha1 = text_sha1
# TODO rev.bytes doesn't work.. looks like a bug
rev_data.text_chars = len(rev.text)
rev_data.comment_chars = sum(0 if r.comment is None else len(r.comment) for r in revs)
# generate revert data
if rev_detector is not None:
revert = rev_detector.process(text_sha1, rev.id)
rev_data.revert = revert is not None
if revert:
rev_data.reverteds = ",".join([str(s) for s in revert.reverteds])
# if the fact that the edit was minor can be hidden, this might be an issue
rev_data.minor = rev.minor
if not rev.deleted.user:
# wrap user-defined editors in quotes for fread
rev_data.editor = rev.user.text
rev_data.anon = rev.user.id is None
# if re.match(r'^#redirect \[\[.*\]\]', rev.text, re.I):
# redirect = True
# else:
# redirect = False
# TODO missing: additions_size deletions_size
# if collapse user was on, let's run that
rev_data.collapsed_revs = len(revs)
# get the
if self.persist != PersistMethod.none:
if not rev.deleted.text:
if self.persist != PersistMethod.legacy:
_, tokens_added, tokens_removed = state.update(rev.text, rev.id)
else:
_, tokens_added, tokens_removed = state.process(rev.text, rev.id, text_sha1)
window.append((rev.id, rev_data, tokens_added, tokens_removed))
if len(window) == PERSISTENCE_RADIUS:
old_rev_id, old_rev_data, old_tokens_added, old_tokens_removed = window[0]
num_token_revs, num_tokens = calculate_persistence(old_tokens_added)
old_rev_data.token_revs = num_token_revs
old_rev_data.tokens_added = num_tokens
old_rev_data.tokens_removed = len(old_tokens_removed)
old_rev_data.tokens_window = PERSISTENCE_RADIUS - 1
writer.write(old_rev_data.to_pyarrow())
else:
writer.write(rev_data.to_pyarrow())
rev_count += 1
if self.persist != PersistMethod.none:
# print out metadata for the last RADIUS revisions
for i, item in enumerate(window):
# if the window was full, we've already printed item 0
if len(window) == PERSISTENCE_RADIUS and i == 0:
continue
rev_id, rev_data, tokens_added, tokens_removed = item
num_token_revs, num_tokens = calculate_persistence(tokens_added)
rev_data.token_revs = num_token_revs
rev_data.tokens_added = num_tokens
rev_data.tokens_removed = len(tokens_removed)
rev_data.tokens_window = len(window) - (i + 1)
writer.write(rev_data.to_pyarrow())
page_count += 1
print("Done: %s revisions and %s pages." % (rev_count, page_count),
file=sys.stderr)
writer.close()
def match_archive_suffix(input_filename):
if re.match(r'.*\.7z$', input_filename):
cmd = ["7za", "x", "-so", input_filename]
elif re.match(r'.*\.gz$', input_filename):
cmd = ["zcat", input_filename]
elif re.match(r'.*\.bz2$', input_filename):
cmd = ["bzcat", "-dk", input_filename]
else:
raise ValueError("Unrecognized file type: %s" % input_filename)
return cmd
def open_input_file(input_filename, fandom_2020=False):
cmd = match_archive_suffix(input_filename)
if fandom_2020:
cmd.append("*.xml")
try:
return Popen(cmd, stdout=PIPE).stdout
except NameError:
return open(input_filename, 'r')
def get_output_filename(input_filename, parquet=False) -> str:
output_filename = re.sub(r'\.(7z|gz|bz2)?$', '', input_filename)
output_filename = re.sub(r'\.xml', '', output_filename)
if parquet is False:
output_filename = output_filename + ".tsv"
else:
output_filename = output_filename + ".parquet"
return output_filename
def open_output_file(input_filename):
# create a regex that creates the output filename
output_filename = get_output_filename(input_filename, parquet=False)
output_file = open(output_filename, "w")
return output_file
def main():
parser = argparse.ArgumentParser(description='Parse MediaWiki XML database dumps into tab delimited data.')
# arguments for the input direction
parser.add_argument('dumpfiles', metavar="DUMPFILE", nargs="*", type=str,
help="Filename of the compressed or uncompressed XML database dump. If absent, we'll look for content on stdin and output on stdout.")
parser.add_argument('-o', '--output', metavar='OUTPUT', dest='output', type=str, nargs=1,
help="Directory for output files. If it ends with .parquet output will be in parquet format.")
parser.add_argument('-s', '--stdout', dest="stdout", action="store_true",
help="Write output to standard out (do not create dump file)")
parser.add_argument('--collapse-user', dest="collapse_user", action="store_true",
help="Operate only on the final revision made by user a user within all sequences of consecutive edits made by a user. This can be useful for addressing issues with text persistence measures.")
parser.add_argument('-p', '--persistence', dest="persist", default=None, const='', type=str,
choices=['', 'segment', 'sequence', 'legacy'], nargs='?',
help="Compute and report measures of content persistent: (1) persistent token revisions, (2) tokens added, and (3) number of revision used in computing the first measure. This may by slow. The default is -p=sequence, which uses the same algorithm as in the past, but with improvements to wikitext parsing. Use -p=legacy for old behavior used in older research projects. Use -p=segment for advanced persistence calculation method that is robust to content moves, but prone to bugs, and slower.")
parser.add_argument('-n', '--namespace-include', dest="namespace_filter", type=int, action='append',
help="Id number of namespace to include. Can be specified more than once.")
parser.add_argument('-rr',
'--revert-radius',
dest="revert_radius",
type=int,
action='store',
default=15,
help="Number of edits to check when looking for reverts (default: 15)")
parser.add_argument('-RP', '--revision-pattern', dest="regex_match_revision", default=None, type=str,
action='append',
help="The regular expression to search for in revision text. The regex must be surrounded by quotes.")
parser.add_argument('-RPl', '--revision-pattern-label', dest="regex_revision_label", default=None, type=str,
action='append',
help="The label for the outputted column based on matching the regex in revision text.")
parser.add_argument('-CP', '--comment-pattern', dest="regex_match_comment", default=None, type=str, action='append',
help="The regular expression to search for in comments of revisions.")
parser.add_argument('-CPl', '--comment-pattern-label', dest="regex_comment_label", default=None, type=str,
action='append',
help="The label for the outputted column based on matching the regex in comments.")
parser.add_argument('--fandom-2020', dest="fandom_2020",
action='store_true',
help="Whether the archive is from the fandom 2020 dumps by Wikiteam. These dumps can have multiple .xml files in their archives.")
args = parser.parse_args()
# set persistence method
if args.persist is None:
persist = PersistMethod.none
elif args.persist == "segment":
persist = PersistMethod.segment
elif args.persist == "legacy":
persist = PersistMethod.legacy
else:
persist = PersistMethod.sequence
if args.namespace_filter is not None:
namespaces = args.namespace_filter
else:
namespaces = None
if len(args.dumpfiles) > 0:
for filename in args.dumpfiles:
input_file = open_input_file(filename, args.fandom_2020)
# open directory for output
if args.output:
output = args.output[0]
else:
output = "."
output_parquet = output.endswith(".parquet")
print("Processing file: %s" % filename, file=sys.stderr)
if args.stdout:
# Parquet libraries need a binary output, so just sys.stdout doesn't work.
output_file = sys.stdout.buffer
elif os.path.isdir(output) or output_parquet:
filename = os.path.join(output, os.path.basename(filename))
output_file = get_output_filename(filename, parquet=output_parquet)
else:
output_file = output
wikiq = WikiqParser(input_file,
output_file,
collapse_user=args.collapse_user,
persist=persist,
namespaces=namespaces,
revert_radius=args.revert_radius,
regex_match_revision=args.regex_match_revision,
regex_revision_label=args.regex_revision_label,
regex_match_comment=args.regex_match_comment,
regex_comment_label=args.regex_comment_label,
output_parquet=output_parquet)
wikiq.process()
# close things
input_file.close()
else:
wikiq = WikiqParser(sys.stdin,
sys.stdout,
collapse_user=args.collapse_user,
persist=persist,
# persist_legacy=args.persist_legacy,
namespaces=namespaces,
revert_radius=args.revert_radius,
regex_match_revision=args.regex_match_revision,
regex_revision_label=args.regex_revision_label,
regex_match_comment=args.regex_match_comment,
regex_comment_label=args.regex_comment_label)
wikiq.process()
# stop_words = "a,able,about,across,after,all,almost,also,am,among,an,and,any,are,as,at,be,because,been,but,by,can,cannot,could,dear,did,do,does,either,else,ever,every,for,from,get,got,had,has,have,he,her,hers,him,his,how,however,i,if,in,into,is,it,its,just,least,let,like,likely,may,me,might,most,must,my,neither,no,nor,not,of,off,often,on,only,or,other,our,own,rather,said,say,says,she,should,since,so,some,than,that,the,their,them,then,there,these,they,this,tis,to,too,twas,us,wants,was,we,were,what,when,where,which,while,who,whom,why,will,with,would,yet,you,your"
# stop_words = stop_words.split(",")
if __name__ == "__main__":
main()
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