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{"Key Mappings":{"0xf700-0x260000":{"Text":"[1;6A","Action":10},"0x37-0x40000":{"Text":"0x1f","Action":11},"0x32-0x40000":{"Text":"0x00","Action":11},"0xf709-0x20000":{"Text":"[17;2~","Action":10},"0xf70c-0x20000":{"Text":"[20;2~","Action":10},"0xf729-0x20000":{"Text":"[1;2H","Action":10},"0xf72b-0x40000":{"Text":"[1;5F","Action":10},"0xf705-0x20000":{"Text":"[1;2Q","Action":10},"0xf703-0x260000":{"Text":"[1;6C","Action":10},"0xf700-0x220000":{"Text":"[1;2A","Action":10},"0xf701-0x280000":{"Text":"0x1b 0x1b 0x5b 0x42","Action":11},"0x38-0x40000":{"Text":"0x7f","Action":11},"0x33-0x40000":{"Text":"0x1b","Action":11},"0xf703-0x220000":{"Text":"[1;2C","Action":10},"0x7f-0x80000-0x33":{"Version":1,"Action":11,"Text":"0x17","Label":""},"0xf701-0x240000":{"Text":"[1;5B","Action":10},"0xf70d-0x20000":{"Text":"[21;2~","Action":10},"0xf702-0x260000":{"Text":"[1;6D","Action":10},"0xf729-0x40000":{"Text":"[1;5H","Action":10},"0xf706-0x20000":{"Text":"[1;2R","Action":10},"0x34-0x40000":{"Text":"0x1c","Action":11},"0xf700

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import os
import json
import time
import logging
import argparse
import yaml
from pprint import pprint
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile

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#!/bin/bash

set -euxo pipefail

IMAGE=''
NAME=''

docker run -dt \
    --shm-size=32gb \
    --gpus=all \

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def on_starting(server):
    setattr(server, '_worker_id_set', set())


def _next_worker_id(server):
    if hasattr(server, '_worker_id_set') and isinstance(server._worker_id_set, set) and len(server._worker_id_set) > 0:
        return server._worker_id_set.pop()

    in_use = set(w._worker_id for w in tuple(server.WORKERS.values()) if hasattr(w, '_worker_id') and w.alive)
    free = set(range(1, server.num_workers + 1)) - in_use

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#!/bin/bash

IMAGE_ID="65c89db00d47"
DIR="tmp"

RAW=$(docker inspect "${IMAGE_ID}" | jq '.[].GraphDriver.Data.LowerDir' -r)

IFS=':' read -r -a DATA <<< "${RAW}"

for s in ${DATA[@]}; do

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def check_if_cuda_available() -> bool:
    try:
        import torch
        return torch.cuda.is_available()
    except Exception:
        try:
            import subprocess
            subprocess.run(['nvidia-smi'])
            return True
        except Exception:

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#!/usr/bin/env python3
import os
import glob
import argparse
import typing
from concurrent.futures import ThreadPoolExecutor

parser = argparse.ArgumentParser()
parser.add_argument('files', nargs='+', type=str)
parser.add_argument('-d', '--dry-run', dest='dry_run', action='store_true')

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// exec bash in docker container
function enterc() {
    docker exec -it $1 /bin/bash
}export enterc

function docker_get_tags() {
    curl "https://registry.hub.docker.com/v1/repositories/$1/tags" | jq '.[].name'
}

export docker_get_tags

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#!/usr/local/opt/python@3.10/bin/python3
import sys
import os
from PIL import Image
import argparse

def webp2png(src_name, dst_name):
    im = Image.open(src_name).convert('RGB')
    im.save(dst_name, 'png')

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set laststatus=2
set number
set hlsearch
set incsearch
set autoindent
set smartindent
set tabstop=4
set shiftwidth=4
set expandtab
set softtabstop=4