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Chrome Extension Manifest V3 Firebase Javascript direct website inject

Updated: 12.Feb.2024

MV3 doesn't support remote hosted code anymore so everything should be bind inside extension package.

Save Firebase Javascript modules inside /js/firebase/ of extension root.

E.g. files: https://www.gstatic.com/firebasejs/10.8.0/firebase-app.js

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

Datos

CREATE TABLE [Empleado](
    [Id] [uniqueidentifier] NOT NULL,
    [Nombre] [nvarchar](128) NOT NULL,
    [Edad] [tinyint] NOT NULL,
    [Foto] [nvarchar](max) NULL,
    CONSTRAINT PK_Empleado PRIMARY KEY ([Id])
);

Binary Lambda Calculus

The Binary Lambda Calculus (BLC) is a minimal, pure functional programming language invented by John Tromp in 2004 [1] based on a binary encoding of the untyped lambda calculus in De Bruijn index notation.

	KFZUS-F3JGV-T95Y7-BXGAS-5NHHP
	T3ZWQ-P2738-3FJWS-YE7HT-6NA3K
	KFZUS-F3JGV-T95Y7-BXGAS-5NHHP
	65Z2L-P36BY-YWJYC-TMJZL-YDZ2S
	SFZHH-2Y246-Z483L-EU92B-LNYUA
	GSZVS-5W4WA-T9F2E-L3XUX-68473
	FTZ8A-R3CP8-AVHYW-KKRMQ-SYDLS
	Q3ZWN-QWLZG-32G22-SCJXZ-9B5S4
	DAZPH-G39D3-R4QY7-9PVAY-VQ6BU
	KLZ5G-X37YY-65ZYN-EUSV7-WPPBS

	from typing import Any, Dict, List, Type

	import instructor
	from anthropic import Anthropic
	from config.settings import get_settings
	from openai import OpenAI
	from pydantic import BaseModel, Field


	class LLMFactory:

	services:
	svr_n8n:
	image: n8nio/n8n
	container_name: n8n_container
	environment:
	- N8N_SECURE_COOKIE=false
	- N8N_COMMUNITY_PACKAGES_ALLOW_TOOL_USAGE=true
	- N8N_EDITOR_BASE_URL=${EXTERNAL_IP}
	- WEBHOOK_URL=${EXTERNAL_IP}
	- N8N_DEFAULT_BINARY_DATA_MODE=filesystem

	import multiprocessing
	import time
	from collections import deque


	class ThrottleBarrier():
	def __init__(
	self,
	counter: multiprocessing.Value,
	lock: multiprocessing.Lock,

	#include <stdio.h>
	#include <sys/ioctl.h>
	#include <stdlib.h>
	#include <time.h>
	#include <libavformat/avformat.h>
	#include <unistd.h>

	void draw_bmp(uint32_t frame_count, char *filename, uint8_t framerate){
	FILE *bmp_handle;
	FILE *buffer_handle;

	[Match]
	Name=can*

	[CAN]
	BitRate=250000
	RestartSec=100ms

	# Put this file in: "/etc/systemd/network/" and then run "sudo systemctl enable systemd-networkd" to enable systemd-networkd
	# Now start systemd-networkd: "sudo systemctl start systemd-networkd"
	# Credit: https://github.com/linux-can/can-utils/issues/68#issuecomment-584505426