run_name = f"{tag_name}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S-%f')}"
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from nicegui import events, ui | |
def mouse_handler(e: events.MouseEventArguments): | |
color = "SkyBlue" if e.type == "mousedown" else "SteelBlue" | |
ii.content += f'<circle cx="{e.image_x}" cy="{e.image_y}" r="15" fill="none" stroke="{color}" stroke-width="4" />' | |
ui.notify(f"{e.type} at ({e.image_x:.1f}, {e.image_y:.1f})") | |
src = "https://picsum.photos/id/565/640/360" |
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import numpy as np | |
from pathlib import Path | |
names = [ | |
str(p).replace("/", "-").replace("\\", "-").replace("C:-", "").lower().strip("-") | |
for p in Path("/mnt/c/Windows").glob("*/*") | |
if len(str(p)) < 40 | |
] |
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# setup FIFO and hang python interpreter | |
fifo_path=$TMPDIR/"pysh-"$(date +%s) | |
mkfifo $fifo_path | |
python3 <$fifo_path & | |
exec 3>$fifo_path | |
# perform some commands | |
echo 'import os' >$fifo_path | |
cat >$fifo_path <<EOF | |
import json |
The idea is to use this along with -v $PWD:/app
option.
Whenever you use this workflow all files created in your
working directory will be created by the docker user (e.g. root)
requiring you to use sudo
for clean-up...
... random sudo rm -rf something
is just what you need in your life.
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from __future__ import annotations | |
from flask import Flask | |
from flask import request | |
from flask import abort | |
from multiprocessing import Process | |
import subprocess as sp | |
import sys | |
import os | |
import json |
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from __future__ import annotations | |
from flask import Flask | |
from flask import request | |
from flask import abort | |
from multiprocessing import Process | |
import subprocess as sp | |
import sys | |
import os | |
from dataclasses import dataclass, field |
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""" | |
Based on the model from: | |
https://github.com/kuangliu/pytorch-cifar | |
""" | |
import tensorflow as tf | |
import tensorflow.keras as keras | |
import tensorflow.keras.layers as kl | |
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