hangj

import tensorflow as tf
import tensorflow.keras as keras
import numpy as np

model = keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])
model.compile(optimizer='sgd', loss='mean_squared_error')

xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)
ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)

hangj

import base64
import ecdsa

def generate_vapid_keypair():
  """
  Generate a new set of encoded key-pair for VAPID
  """
  pk = ecdsa.SigningKey.generate(curve=ecdsa.NIST256p)
  vk = pk.get_verifying_key()

hangj

# Fish shell

# REUSE ENVIRONMENT VARIABLES FROM ~/.bash_profile
bash -c '. ~/.bash_profile; env' | while read e
    set var (echo $e | sed -E "s/([a-zA-Z0-9_]+)=(.*)\$/\1/")
    set value (echo $e | sed -E "s/([a-zA-Z0-9_]+)=(.*)\$/\2/")

    # remove surrounding quotes if existing
    set value (echo $value | sed -E "s/^\"(.*)\"\$/\1/")

hangj

#!/usr/bin/env bash
# hangj.cnblogs.com
# https://www.cnblogs.com/hangj/p/16921863.html
 
 
s3_key="Q3AM3UQ867SPQQA43P2F"
s3_secret="zuf+tfteSlswRu7BJ86wekitnifILbZam1KYY3TG"
session_token="Security-Token"
 
bucket="bucket-log"

hangj

Readme: In the following pseudo code, [] indicates a subroutine.
Sometimes I choose to write the subroutine inline under the [] in order to maintain context. 
One important fact about the way rollbacks are handled here is that we are storing state for every frame. 
In any real implementation you only need to store one game state at a time. Storing a game 
state for every frame allows us to only rollback to the first frame where the predicted inputs don't match the true ones.


==Constants==
MAX_ROLLBACK_FRAMES     := Any Positive Integer         # Specifies the maximum number of frames that can be resimulated
FRAME_ADVANTAGE_LIMIT   := Any Positive Integer         # Specifies the number of frames the local client can progress ahead of the remote client before time synchronizing. 

hangj

#!/usr/bin/env bash

# change the working directory to where this file is located
full_file_path=`realpath $0`
absolute_dir=`dirname $full_file_path`
cd $absolute_dir

# crate new user if not exists
username="bot"
userpassword="password123456"

hangj

local function run(src, level)
    local level = level or 1
    level = level + 3
    assert(level >= 3)

    local function get(t, k)
        -- print('get:', k)
        -- print('bt:', debug.traceback())

        local level = level + 1

hangj

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# pip3 install pycaw -i https://pypi.douban.com/simple
# https://docs.microsoft.com/en-us/windows/win32/api/endpointvolume/nf-endpointvolume-iaudioendpointvolume-getvolumerange

from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume

hangj

#!/usr/bin/env bash

# https://www.cnblogs.com/hangj/p/11838259.html

IP=localhost
FILE=proxy.pac

# 找到一个可用的 port
SOCKSPORT=`python -c 'import socket; s=socket.socket(); s.bind(("localhost", 0)); print(s.getsockname()[1]); s.close()'`
HTTPPORT=`python -c 'import socket; s=socket.socket(); s.bind(("localhost", 0)); print(s.getsockname()[1]); s.close()'`

hangj

(function() {
// https://github.com/exif-js/exif-js
    var debug = false;

    var root = this;
    var self = window || this;
    var Blob = Blob || function () {}
    var DOMParser = DOMParser || function () {}

    var EXIF = function(obj) {