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tools:
  # Order is important!
  rg: BurntSushi/ripgrep
  bat:
      repo: sharkdp/bat
      shell_code:
        bash: |
          alias cat='bat -pp'
          alias less='bat --paging=always'
        powershell: |

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Sub ExtractMeetingInfoToObsidian()
    Dim objApp As Outlook.Application
    Dim objSelection As Outlook.Selection
    Dim objItem As Object
    Dim objMeeting As Outlook.AppointmentItem
    Dim strMarkdown As String
    Dim strAttendees As String
    Dim arrAttendees() As String
    Dim i As Integer
    Dim strFileName As String

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# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "requests",
# ]
# ///

import argparse
import csv
import shutil

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Sub SmartArchive()
    Dim objApp As Outlook.Application
    Dim objSelection As Outlook.Selection
    Dim objMail As Outlook.MailItem
    Dim objConversation As Outlook.Conversation
    Dim objRootItems As Outlook.SimpleItems
    Dim objChildItems As Outlook.SimpleItems
    Dim objRootItem As Object
    Dim objChildItem As Object
    Dim objFolder As Outlook.folder

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Sub CloneCalendarItem()
    Dim objApp As Outlook.Application
    Dim objSelection As Outlook.Selection
    Dim objItem As Object
    Dim objNewItem As Outlook.AppointmentItem
    
    Set objApp = Outlook.Application
    Set objSelection = objApp.ActiveExplorer.Selection
    
    If objSelection.Count > 0 Then

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import math

PRECISION = 24 * 60

def average_time(times: list[str]) -> str:
    sum_sin = 0.0
    sum_cos = 0.0
    for time_str in times:
        hours, mins = map(int, time_str.split(':'))
        total_mins = (hours % 24) * 60 + mins

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apt install fail2ban python3-inotify

sudo vi /etc/fail2ban/filter.d/nginx-spammers.conf

sudo vi /etc/fail2ban/jail.local

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# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "yt-dlp>0.4.0",
#     "feedendum",
# ]
# ///
import argparse
import mimetypes
from datetime import datetime

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ID,Title,PublishedAt,Duration,ViewCount,LikeCount,CommentCount
eYeHRvyiTgE,"Cachemire Podcast - Episodio 3: La posta di Sonia, Sanremo e Walker Texas Ranger",2020-12-18T11:45:03Z,PT1H11M14S,217055,6288,364
uudLdmsNbhQ,"Cachemire Podcast - Episodio 2: Pizza, Sushi e Tripadvisor",2020-12-11T12:30:41Z,PT1H8M30S,255574,7475,399
ZFGTo-zFIW4,"Cachemire Podcast S3 - Episodio 1: Remake, Reboot, Ripartiti!",2022-11-18T13:30:06Z,PT1H39S,151422,5627,361
GdHybYErqkY,Cachemire Podcast S2 - Episodio 15: Cartoni Animati,2022-02-25T13:30:06Z,PT59M42S,121812,3689,303
hz_gdMGGqVY,Cachemire Podcast S2 - Episodio 8: Primeggiare feat. Matteo Berrettini,2021-12-03T13:30:07Z,PT1H25M41S,212954,6605,242
prouISP730Y,Cachemire Podcast - Episodio 20: Ricordati di Santificare le Feste feat.  Valerio Lundini,2021-04-23T12:15:01Z,PT1H22M57S,550174,13931,702
Lfo6sK4MVUY,Cachemire Podcast S3 - Episodio 13: Luoghi Comuni con Valerio Lundini,2023-03-10T13:33:43Z,PT1H4M57S,279350,8101,332
K1QB3_RmEwk,Cachemire Podcast S3 - Episodio 10: Amici Am

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import requests
import json


dcsv = {"0": {}, "1": {}}
for y in range(1999, 2022):
    r = requests.get(f"https://www.istat.it/ws/nati/index2021.php?type=list&limit=20&year={y}")
    rdata = json.loads(r.text[9:-2])
    for k in ("0", "1"):
        for row in rdata[k]: