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from pyxll import xl_func, RTD | |
import threading | |
import time | |
import requests | |
from bs4 import BeautifulSoup | |
''' | |
Date: 19-April-2021 | |
coin_rtd(crypto: str): |
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[user] | |
name = JujuDel | |
email = [email protected] | |
[filter "lfs"] | |
clean = git-lfs clean %f | |
smudge = git-lfs smudge %f | |
required = true | |
[alias] |

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import argparse | |
import os | |
import re | |
import subprocess | |
import time | |
# User-friendly console display colors | |
# In case of f-formating alignment, str.rjust, str.ljust or str.center, | |
# be aware of their len even if you won't see then while printing |
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"""LuckyJ.: Utils scripts for CP""" | |
from __future__ import annotations | |
import subprocess | |
import string | |
from heapq import heappop, heappush | |
from queue import Queue | |
from queue import LifoQueue as Stack |
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""" | |
Brute force a password protected rar file with a RegEx pattern hint. | |
This is not meant to be used with malicious intent. | |
I have made this script only because I had a protected rar file for which I forget | |
the pwd but remembered partially what it was. Writing a RegEx helped to reduce the | |
pwd candidates to something I could easily fastly recover :) | |
Pre-requisites: |
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###################### | |
## JULIEN - START ## | |
###################### | |
export PATH=/usr/src/tensorrt/bin:/usr/local/cuda-12/bin${PATH:+:${PATH}} | |
export LD_LIBRARY_PATH=/usr/local/cuda-12/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} | |
export LD_LIBRARY_PATH="/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH" | |
# COLORS |
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# sudo apt-get install -y cuda-toolkit-<major>-<minor> | |
# sudo apt-get install -y tensorrt nvidia-tensorrt-dev | |
# sudo nvpmodel -m 0 | |
# sudo jetson_clocks | |
out_file="/home/user/yolo11_trtexec.txt" | |
rm ${out_file} | |
variants=("yolo11n" "yolo11s" "yolo11m" "yolo11l" "yolo11x") | |
image_sizes=("320" "384" "416" "512" "608" "640") |
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#!/bin/bash | |
# Copies the dataset | |
# Changes the person head label of the CrowdHuman to 80. | |
# Initial CrowdHuman dataset can be obtained from | |
# - https://gist.github.com/adujardin/62653118466962264aa0c6339c3e9cf5#file-crowdhuman_to_yolo-py-L144 | |
datasets="/home/user/code/datasets" | |
newFolder="NewCrowdHuman" |
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