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function theme_precmd { | |
local TERMWIDTH=$(( COLUMNS - ${ZLE_RPROMPT_INDENT:-1} )) | |
PR_FILLBAR="" | |
PR_PWDLEN="" | |
local promptsize=${#${(%):---(%n@%m:%l)---()--}} | |
local rubypromptsize=${#${(%)$(ruby_prompt_info)}} | |
local pwdsize=${#${(%):-%~}} | |
local venvpromptsize=$((${#$(virtualenv_prompt_info)})) |
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#!/bin/bash | |
# ollama run llama3.2:1b | |
# chmod +x talk.sh | |
# ./talk.sh "Your question here" | |
# Check if a question is passed as an argument | |
if [ -z "$1" ]; then | |
echo "Usage: ./talk.sh 'Your question here'" | |
exit 1 | |
fi |
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import os | |
import sys | |
import subprocess | |
import tempfile | |
import shutil | |
def main(): | |
if len(sys.argv) != 2: | |
print("Usage: python script.py <github_repo_url>") | |
sys.exit(1) |
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def get_GPU_usage(): | |
cmd = "nvidia-smi --query-gpu=utilization.gpu --format=csv,noheader,nounits" | |
result = subprocess.check_output(cmd, shell=True).decode('utf-8') | |
usages = list(map(int, result.strip().split('\n'))) | |
return usages |
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def soup_two_models(model, second_model): | |
souped_model = copy.deepcopy(model) | |
for param in souped_model.named_parameters(): | |
name = param[0] | |
param[1].data = (model.state_dict()[name] + second_model.state_dict()[name]) / 2 | |
return souped_model |