zhaopengme

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet

zhaopengme

use std::sync::Mutex;
use std::sync::RwLock;
use std::sync::Arc;
use std::collections::HashMap;
use lazy_static::lazy_static;

lazy_static! {
    static ref CACHE: Mutex<HashMap<&'static str, Arc<RwLock<Option<u32>>>>> = Mutex::new(HashMap::new());
}

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{% layout none %}<?xml version="1.0"?>
<rss xmlns:g="http://base.google.com/ns/1.0" version="2.0">
{% paginate collections.all.products by 1000 %}
{%- assign useSEOtitle = false -%}
{%- assign useSEOdescription = true -%}
{%- assign CountryCode = 'US' -%}
{%- if shop.currency == 'CAD' -%}{%- assign CountryCode = 'CA' -%}{%- endif -%}
{%- assign Color = "" -%}
{%- assign Size = "" -%}
<channel>

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# shortform git commands
alias g='git'

# get a list of all commit messages for a repo
git log --pretty=format:'%s'

# find the nearest parent branch of the current git branch
git show-branch -a | grep '\*' | grep -v `git rev-parse --abbrev-ref HEAD` | head -n1 | sed 's/.*\[\(.*\)\].*/\1/' | sed 's/[\^~].*//'

# push changes to an empty git repository for the first time

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on sansExt(theFileName)
  do shell script "file=" & theFileName & ";" & "echo ${file%.*}"
end sansExt

on getExt(theFileName)
  do shell script "file=" & theFileName & ";" & "echo ${file##*.}"
end getExt

on run argv
  set keynote_path to (item 1 of argv)

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SQLite3 Electron windows integration

This guide is based on the very informative discussion in this article: Using node_sqlite3 with Electron

Install sqlite3

npm install sqlite3 --save

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wget http://golang.org/dl/go1.3.linux-amd64.tar.gz
sudo tar -C /usr/local -xzf go1.3.linux-amd64.tar.gz
sudo echo "PATH=$PATH:/vagrant/go/bin:/usr/local/go/bin" >> ~/.profile
sudo echo "export GOPATH=/vagrant/go" >> ~/.profile
sudo echo "export GOROOT=/usr/local/go" >> ~/.profile
source ~/.profile

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These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

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<!-- Facebook Custom Audience Pixel Code - Placed on Every Page of Site -->
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document,'script','//connect.facebook.net/en_US/fbevents.js');
fbq('init', '{{facebook pixel}}');
fbq('track', 'PageView');
</script>

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#!/usr/bin/ruby
# Create display override file to force Mac OS X to use RGB mode for Display
# see http://embdev.net/topic/284710

require 'base64'

data=`ioreg -l -d0 -w 0 -r -c AppleDisplay`

edids=data.scan(/IODisplayEDID.*?<([a-z0-9]+)>/i).flatten
vendorids=data.scan(/DisplayVendorID.*?([0-9]+)/i).flatten