steipete

// Windsurf Auto Press Continue v13.2 (with added logging)
(() => {
    const SCRIPT_NAME = 'Windsurf Auto Press Continue v13.2 (logged)'; // Updated name for clarity
    let intervalId = null, lastClick = 0;

    // --- Config ---
    const BTN_SELECTORS = 'span[class*="bg-ide-button-secondary-background"]'; 
    const BTN_TEXT_STARTS_WITH = 'continue';
    const SIDEBAR_SELECTOR = null; 
    const COOLDOWN_MS = 3000; 

farrrb

###############################################################################
# cl2000 - Toolchain File
# F. Zahn - 2018
###############################################################################

#set this path according to your needs
set(CGT_TOOLCHAIN_DIR "C:/your/path/to/the/toolchain")

# set target system
set(CMAKE_SYSTEM_NAME Generic)

hongyangqin

visual studio 2015 key vs2015密钥

from : http://blog.csdn.net/keenweiwei/article/details/51473796

2018-1-5 23:53:38 测试可用

2016年05月22日 09:49:11

Visual Studio Professional 2015简体中文版（专业版） KEY：HMGNV-WCYXV-X7G9W-YCX63-B98R2

Cretezy

Simply add this snippet...

export XDG_RUNTIME_DIR="/run/user/$UID"
export DBUS_SESSION_BUS_ADDRESS="unix:path=${XDG_RUNTIME_DIR}/bus"

...to .bashrc or .zshrc or any file ran on login.

0xjairo

# Create a file named options.cmake and populate with valid paths assigned to the following:
#
#     set(CG_TOOL_ROOT        "/opt/ti/ccsv7/tools/compiler/ti-cgt-c2000_16.9.1.LTS")
#     set(DEVICE_SUPPORT_ROOT "/home/asdf/controlSUITE/device_support/F2807x/v210")
#
# Then do:
#     mkdir build && cd build
#     cmake -DCMAKE_TOOLCHAIN_FILE=../toolchain-ti-c2000.cmake ..
#     make

laobubu

Pico HTTP Server in C

This is a very simple HTTP server for Unix, using fork(). It's very easy to use

How to use

1. include header httpd.h
2. write your route method, handling requests.
3. call serve_forever("12913") to start serving on port 12913

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats