Kaiwen kkew3

## eval_coherence_gensim_sklearn_lda.py
from collections import Counter
from typing import Dict, Union, List

import numpy as np
from scipy import sparse
import pandas as pd
import spacy
from sklearn.datasets import fetch_20newsgroups
from sklearn.decomposition import LatentDirichletAllocation
from gensim.models.coherencemodel import CoherenceModel

## .msmtprc
# replace 'your_user_name' with your user name
account your_user_name@sina.com
host smtp.sina.com
port 465
tls on
tls_starttls off
auth on
user your_user_name
from your_user_name@sina.com
# paste your authentication code (客户端授权码) here,

## gtranslate.py
import json
import sys

import requests

tl, query = sys.argv[1:]
sl = 'auto'
ua = ('Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) '
      'Gecko/20100101 Firefox/109.0')
query = query.strip()

## custom.applescript
# Paste this script to "Alfred Preference > Advanced > Terminal",
# selecting "Application" to "Custom".
#
# In addition, create an iTerm2 profile with string "Alfred" in its Name,
# for example, "Working with Alfred".
#
# The script below will open the first iTerm2 session with such profile,
# or create a new window with that profile if not found. The command
# will be executed there.

## cron_calendar.py
def parse_crontab_field(acc_values: range, acc_names: dict, string: str):
    """
    Parse a field of crontab from ``string``.

    >>> values = range(1, 8)
    >>> names = dict(zip(['mon', 'tue', 'wed', 'thu', 'fri', 'sat', 'sun'],
    ...                  values))
    >>> parse_crontab_field(values, names, '*')
    [None]
    >>> parse_crontab_field(values, names, '*/2')

## sum_filesize.sh
# Require: [`fd`](https://github.com/sharkdp/fd.git)

PATTERN='XXX'  # Assume this would be a directory
fd -0 -td "$PATTERN" \
    | xargs -0 du -sh \
    | numfmt --from=auto --to=none \
    | perl -ane 'BEGIN { my $sum = 0; } $sum += $F[0]; print; END { print $sum, " totoal\n"; }' \
    | numfmt --from=none --to=si

## hull_plot.py
# -*- coding: utf-8 -*-
"""
Plot the convex hull around a set of points as a
shaded polygon.

@author: Nicolas Guarin Zapata and Kaiwen
@date: February 6, 2023
"""
import numpy as np
from scipy.spatial import ConvexHull

## import_imgs.pl
use warnings;
use strict;

use File::Basename qw(fileparse);
use File::Copy     qw(cp mv);

######################################################################
# Configuration                                                      #
######################################################################

## nums2ranges.py
#!/usr/bin/env python3


def nums2ranges(nums):
    """
    >>> list(nums2ranges([]))
    []
    >>> list(nums2ranges([0, 1, 2, 3, 4]))
    [slice(0, 5, None)]
    >>> list(nums2ranges([0, 1, 4, 5, 6]))

## bisectimgresizer.py
#!/usr/bin/env python3
import os
import re
import sys
import shlex
import shutil
import argparse
import subprocess
import logging
	from collections import Counter
	from typing import Dict, Union, List

	import numpy as np
	from scipy import sparse
	import pandas as pd
	import spacy
	from sklearn.datasets import fetch_20newsgroups
	from sklearn.decomposition import LatentDirichletAllocation
	from gensim.models.coherencemodel import CoherenceModel
	# replace 'your_user_name' with your user name
	account your_user_name@sina.com
	host smtp.sina.com
	port 465
	tls on
	tls_starttls off
	auth on
	user your_user_name
	from your_user_name@sina.com
	# paste your authentication code (客户端授权码) here,
	import json
	import sys

	import requests

	tl, query = sys.argv[1:]
	sl = 'auto'
	ua = ('Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) '
	'Gecko/20100101 Firefox/109.0')
	query = query.strip()
	# Paste this script to "Alfred Preference > Advanced > Terminal",
	# selecting "Application" to "Custom".
	#
	# In addition, create an iTerm2 profile with string "Alfred" in its Name,
	# for example, "Working with Alfred".
	#
	# The script below will open the first iTerm2 session with such profile,
	# or create a new window with that profile if not found. The command
	# will be executed there.
	def parse_crontab_field(acc_values: range, acc_names: dict, string: str):
	"""
	Parse a field of crontab from ``string``.

	>>> values = range(1, 8)
	>>> names = dict(zip(['mon', 'tue', 'wed', 'thu', 'fri', 'sat', 'sun'],
	... values))
	>>> parse_crontab_field(values, names, '*')
	[None]
	>>> parse_crontab_field(values, names, '*/2')
	# Require: [`fd`](https://github.com/sharkdp/fd.git)

	PATTERN='XXX' # Assume this would be a directory
	fd -0 -td "$PATTERN" \
	\| xargs -0 du -sh \
	\| numfmt --from=auto --to=none \
	\| perl -ane 'BEGIN { my $sum = 0; } $sum += $F[0]; print; END { print $sum, " totoal\n"; }' \
	\| numfmt --from=none --to=si
	# -- coding: utf-8 --
	"""
	Plot the convex hull around a set of points as a
	shaded polygon.

	@author: Nicolas Guarin Zapata and Kaiwen
	@date: February 6, 2023
	"""
	import numpy as np
	from scipy.spatial import ConvexHull
	use warnings;
	use strict;

	use File::Basename qw(fileparse);
	use File::Copy qw(cp mv);

	######################################################################
	# Configuration #
	######################################################################
	#!/usr/bin/env python3


	def nums2ranges(nums):
	"""
	>>> list(nums2ranges([]))
	[]
	>>> list(nums2ranges([0, 1, 2, 3, 4]))
	[slice(0, 5, None)]
	>>> list(nums2ranges([0, 1, 4, 5, 6]))
	#!/usr/bin/env python3
	import os
	import re
	import sys
	import shlex
	import shutil
	import argparse
	import subprocess
	import logging