jerry73204

// lexical elements
token = {
    keyword
  | identifier
  | constant
  | string_literal
  | punctuator
}

// keywords

jerry73204

thread 'async-std/runtime' panicked at 'called `Option::unwrap()` on a `None` value', /home/aeon/.cargo/git/checkouts/zenoh-cc237f2570fab813/9053912/zenoh/src/net/routing/network.rs:442:37
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
thread 'main' panicked at 'called `Result::unwrap()` on an `Err` value: PoisonError { .. }', /home/aeon/.cargo/git/checkouts/zenoh-cc237f2570fab813/9053912/zenoh/src/net/routing/face.rs:183:26
thread 'async-std/runtime' panicked at 'called `Result::unwrap()` on an `Err` value: PoisonError { .. }', /home/aeon/.cargo/git/checkouts/zenoh-cc237f2570fab813/9053912/zenoh/src/net/routing/face.rs:168:26
thread 'async-std/runtime' panicked at 'called `Result::unwrap()` on an `Err` value: PoisonError { .. }', /home/aeon/.cargo/git/checkouts/zenoh-cc237f2570fab813/9053912/zenoh/src/net/routing/face.rs:168:26
thread 'async-std/runtime' panicked at 'called `Result::unwrap()` on an `Err` value: PoisonError { .. }', /home/aeon/.cargo/git/checkouts/zenoh-cc237f25

jerry73204

use futures::future::FutureExt as _;
use futures::stream::StreamExt as _;
use futures::stream;
use futures::join;
use std::task::Poll;
use std::time::Duration;
use std::time::Instant;

async fn pending_futures() {
    let (tx, rx) = flume::bounded(4);

jerry73204

#ifndef __CONFIG_H__
#define __CONFIG_H__

#define MAX_PATH_LEN 4096
#define MAX_PRODUCT_ID_LEN 256
#define MAX_NUM_PRODUCTS 65536
#define MAX_NUM_TRIE_NODES 1048576
#define MAX_MEM_SIZE 1656885703
#define MIN_READ_SIZE 8192
#define MAX_WRITE_SIZE 65536

jerry73204

use anyhow::Error;
use anyhow::Result;
use collected::SumVal;
use futures::future;
use futures::stream::StreamExt as _;
use itertools::iproduct;
use std::sync::Arc;
use std::time::Duration;
use std::time::Instant;
use zenoh as zn;

jerry73204

#!/usr/bin/env bash

if [ $#  -ne 1 ] ; then
    echo "Usage: $0 DIRECTORY"
fi

cd "$1" &&
    find . -type f -name '*.avi' -print0 |
        while IFS= read -r -d $'\0' file; do
            printf "%s\t" "$file"

jerry73204

import rclpy
from rclpy.node import Node

from nav_msgs.msg import Odometry
from lgsvl_msgs.msg import VehicleControlData, Detection3DArray


class Driver(Node):
    def __init__(self):
        super().__init__('Driver')

jerry73204

# Maintainer: acxz <akashpatel2008 at yahoo dot com>
pkgname=darknet-alexeyab
pkgver=r1833.bef28445
pkgrel=1
pkgdesc='YOLO: Real Time Object Detection Neural Network Library (AlexeyAB fork)'
arch=('i686' 'x86_64')
url='https://github.com/AlexeyAB/darknet'
license=('YOLO')
depends=()
optdepends=(opencv)

jerry73204

use failure::Fallible;
use serde::{
    de::Error as DeserializeError, ser::Error as SerializeError, Deserialize, Deserializer,
    Serialize, Serializer,
};
use std::fs;
use tch::{Device, Kind, Tensor};

fn main() -> Fallible<()> {
    let json = fs::read_to_string("example.json")?;

jerry73204

use failure::Fallible;
use ndarray::Array;
use std::convert::TryFrom;
use tch::Tensor;

fn main() -> Fallible<()> {
    let tensor = Tensor::try_from(Array::from_shape_fn(
        (3, 300, 200),
        |(channel, _row, _col)| match channel {
            0 => 1f32,