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#define _XOPEN_SOURCE 500 /* Enable certain library functions (strdup) on linux.  See feature_test_macros(7) */

#include <stdlib.h>
#include <stdio.h>
#include <limits.h>
#include <string.h>

struct entry_s {
	char *key;
	char *value;

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from math import log10, factorial

# O(nlog(n)) implementation
def count7(n, acc=0):
    if n <= 0:
        return acc
    while n > 0:
        v = n
        while v > 0:
            v, r = v // 10, v % 10

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#!/usr/bin/env python3
# -*- coding:utf8 -*-
from __future__ import print_function
from copy import deepcopy

class MyAwesomObject(object):
    def __init__(self, private_value):
        self.__private_value = private_value
    
    @property

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#!/usr/bin/env python3
# -*- coding:utf8 -*-
import pandas as pd

data = {"split": ["台灣 世界競爭力", "台灣股票開盤", "台電躺著賺"],
        "label": ["positive", "negative", "positive"]}
df = pd.DataFrame(data)
count = 0
for i, row in df.itertuples()
    if "台灣" in row.split and row.label == "positive":

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#!/usr/bin/env python3
# -*- coding: utf8 -*-
from __future__ import print_function
import re
import subprocess as sp
import argparse
import sys
import os
import yaml

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#!/usr/bin/env python3
#-*- coding:utf8 -*-
from __future__ import print_function
import numpy as np
import multiprocessing as mp
import sys
from multiprocessing.queues import Empty

SHARE_DATA = None

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#!/usr/bin/env python
from __future__ import print_function
import argparse
import numpy as np
import time

# a random sequence
arr = np.random.choice(['a', 'b', 'c', 'd'], 5000, replace=True)
positive_values = ['a', 'b']

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#!/usr/bin/env python3
# -*- coding:utf8 -*-
def main():
    a = 5
    def foo():
        nonlocal a;
        a += 1
        print(a)
    print(foo())

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# -*- coding:utf-8 -*-
from __future__ import print_function
from functools import wraps

def log_deco(func):
    @wraps(func)
    def wrapped(*args, **kwargs):
        print("calling {}".format(func.__name__))
        return func(*args, **kwargs)