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% % Install uv
!curl -LsSf https://astral.sh/uv/install.sh | sh
% % Set up uv
% 1) Point PATH to where uv was installed
setenv('PATH', getenv('HOME')+"/.local/bin:"+getenv('PATH'));
% Sanity checks
system('which uv'); % should print ~/.local/bin/uv
system('uv --version');
system('python --version');
session = pyrun("import fastf1; session = fastf1.get_session(2023, 1, 'R'); session.load(telemetry=False, weather=False)","session")
drv = session.drivers;
%% Figure / axes (dark theme similar to FastF1)
figure('Color',[0.08 0.09 0.10],'Position',[100 100 900 500]);
ax = axes('Parent', gcf);
set(ax,'Color',[0.08 0.09 0.10],'XColor',[0.85 0.88 0.90], ...
'YColor',[0.85 0.88 0.90],'Box','off','LineWidth',1);
hold(ax,'on'); grid(ax,'on'); ax.GridColor=[0.25 0.28 0.30];
%[text] # demucs with uv onlinedemucs
%[text:tableOfContents]{"heading":"**Table of Contents**"}
%[text]
%%
%[text] ### Install uv
!curl -LsSf https://astral.sh/uv/install.sh | sh %[output:09e95903]
%%
%[text] ### Set up uv
% 1) Point PATH to where uv was installed
setenv('PATH', [getenv('HOME') '/.local/bin:' getenv('PATH')]);
#!/usr/bin/env python3
"""
Create a PowerPoint deck from a folder of images, widescreen (16:9).
Usage:
python make_ppt.py --images slides/ --out slides.pptx
"""
import argparse
from pathlib import Path
#!/usr/bin/env python3
"""
Extract distinct slides from a presentation video.
Usage:
python extract_slides.py --video input.mp4 --out slides/ --interval 10 --threshold 6
Args:
--video Path to the input video file.
--out Output folder for saved images (created if missing).
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#!/bin/bash
wget https://www.mathworks.com/mpm/glnxa64/mpm && \
chmod +x mpm && \
./mpm install --release=R2025a --destination=/opt/matlab --products=MATLAB Parallel_Computing_Toolbox Deep_Learning_Toolbox Statistics_and_Machine_Learning_Toolbox && \
ln -fs /opt/matlab/bin/matlab /usr/local/bin/matlab && \
MATLAB_DEPS_URL="https://raw.githubusercontent.com/mathworks-ref-arch/container-images/main/matlab-deps/r2025a/ubuntu22.04/base-dependencies.txt" && \
MATLAB_DEPENDENCIES=base-dependencies.txt && \
wget ${MATLAB_DEPS_URL} -O ${MATLAB_DEPENDENCIES} && \
xargs -a ${MATLAB_DEPENDENCIES} -r apt-get install --no-install-recommends -y && \
import streamlit as st
import openai
avatar = {
"user": "🤓",
"assistant": "🤖",
}
if "messages" not in st.session_state:
st.session_state["messages"] = []
Title Genre Premiere Runtime IMDB Score Language
Enter the Anime Documentary August 5, 2019 58 2.5 English/Japanese
Dark Forces Thriller August 21, 2020 81 2.6 Spanish
The App Science fiction/Drama December 26, 2019 79 2.6 Italian
The Open House Horror thriller January 19, 2018 94 3.2 English
Kaali Khuhi Mystery October 30, 2020 90 3.4 Hindi
Drive Action November 1, 2019 147 3.5 Hindi
Leyla Everlasting Comedy December 4, 2020 112 3.7 Turkish
The Last Days of American Crime Heist film/Thriller June 5, 2020 149 3.7 English
Paradox Musical/Western/Fantasy March 23, 2018 73 3.9 English