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def quick_sort_iterative(arr):  
    stack = [(0, len(arr) - 1)]  # 定义一个栈，用于存储待排序的区间  

    while stack:  
        start, end = stack.pop()  # 从栈中弹出一个区间  
        if start >= end:  
            continue  
        
        pivot = arr[end]  # 选择最后一个元素作为枢轴  
        partition_index = start  # 分区的索引  

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def merge_sort(arr):
    if len(arr) > 1:
        mid = len(arr) // 2  # Finding the mid of the array
        L = arr[:mid]        # Dividing the elements into 2 halves
        R = arr[mid:]

        merge_sort(L)        # Sorting the first half
        merge_sort(R)        # Sorting the second half

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class Solution:
    def findMedianSortedArrays(self, nums1: List[int], nums2: List[int]) -> float:
        l1 = len(nums1)
        l2 = len(nums2)
        total_len = 0
        index1 = 0
        index2 = 0
        last1 = 0
        last2 = 0
        while True:

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kwriteconfig6 --file kioslaverc --group 'Proxy Settings' --key ProxyType "1"
kwriteconfig6 --file kioslaverc --group 'Proxy Settings' --key 'httpProxy' 'http://127.0.0.1:10081'
kwriteconfig6 --file kioslaverc --group 'Proxy Settings' --key 'httpsProxy' 'http://127.0.0.1:10081'
kwriteconfig6 --file kioslaverc --group 'Proxy Settings' --key 'ftpProxy' 'http://127.0.0.1:10081'
kwriteconfig6 --file kioslaverc --group 'Proxy Settings' --key Authmode 0
# When you modify kioslaverc, you need to tell KIO.
dbus-send --type=signal /KIO/Scheduler org.kde.KIO.Scheduler.reparseSlaveConfiguration string:''

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• install pdf2image
• install poppler choco install poppler

Convert PDF to Image using Python - GeeksforGeeks

# -*- coding: utf-8 -*-
from pdf2image import convert_from_path

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id	aliases	tags
SqlitePythonCountChrome

# -*- coding: utf-8 -*-  
import datetime  
import sqlite3 

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import requests
import datetime
import threading

access_token = "xxxx"


def check_latest_commit_date(item_list):
    # 获取当前日期
    current_date = datetime.datetime.now(datetime.timezone.utc)

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#!/bin/bash

# 检查是否提供了文件名
if [ "$#" -ne 1 ]; then
  echo "Usage: $0 <filename>"
  exit 1
fi

filename=$1

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import whisper

model = whisper.load_model('small', 'cpu')
# model = whisper.load_model("base")
result = model.transcribe("output.wav")
print(result["text"])

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#!/bin/bash
# file content should be
#key:value1
#key:value2

# Read the key-value pairs from the file
data=$(cat file.txt)

# Search for a key using fzf
selected_key=$(echo "$data" | awk -F ':' '{print $1}' | fzf)