AndBondStyle

import asyncio
import os
from contextlib import asynccontextmanager
from typing import Any

import sqlalchemy as sa
from dependency_injector import providers
from dependency_injector.containers import DeclarativeContainer
from dependency_injector.wiring import Provide, inject
from fastapi import APIRouter, Depends, FastAPI

AndBondStyle

import asyncio
import os
from contextlib import asynccontextmanager

import sqlalchemy as sa
from dependency_injector import providers
from dependency_injector.containers import DeclarativeContainer
from dependency_injector.wiring import Provide, inject
from fastapi import Depends, FastAPI
from sqlalchemy.ext.asyncio import (

AndBondStyle

# Build stage
FROM node:16 as build
WORKDIR /src
COPY . ./

RUN corepack enable
RUN yarn install --immutable

RUN yarn run web:build:prod

AndBondStyle

#include <Arduino.h>
#include <MsgPacketizer.h>

#define SERIAL_SPEED 500000
#define MSGPACK_RECV_INDEX 0x01
#define MSGPACK_SEND_INDEX 0x02
#define SERIAL_PORT Serial1

struct ServoCommand {
    float left;

AndBondStyle

import re
from dataclasses import dataclass, field

from mcap.reader import make_reader
from mcap_ros2.decoder import DecoderFactory
from heapq import heappush, heappop
from pathlib import Path


PATH = "stereo_calib.mcap"

AndBondStyle

obj-m += vxcan.o

all:
	make -C /lib/modules/$(shell uname -r)/build M=$(PWD) modules
clean:
	make -C /lib/modules/$(shell uname -r)/build M=$(PWD) clean

AndBondStyle

from odrive.pyfibre.fibre.libfibre import *
import select

tasks = []  # time, callback, args...
now = time.perf_counter

# super stupid "event loop" implementation
def spin():
    for _ in range(10):
        delete = []

AndBondStyle

#!/bin/bash

# Miminum delay between iterations, in seconds
delay=10
# Pairs of [bluetooth MAC, test expression]
targets=(
  "98:B6:E9:47:F0:4F" "test ! -e /dev/input/js0"
  "98:B6:E9:72:6C:31" "test -z \"\$(bluetoothctl info 98:B6:E9:72:6C:31 | grep 'Connected: yes')\""
)

AndBondStyle

import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np


def plot_grad_flow(model):
    ave_grads = []
    max_grads = []
    layers = []
    for name, param in model.named_parameters():

AndBondStyle

import urllib.parse as urlparse
from envparse import Env
import json as pyjson
import warnings
import os


def shortcut(cast):
    # Fix: `default` kwarg is always second argument
    # So you can do `env.whatever('KEY', 'DEFAULT')`