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View pancakeswap-tokenprice.js
import Web3 from 'web3';
import { Fetcher, ChainId, Token } from '@pancakeswap/sdk';
import { JsonRpcProvider } from '@ethersproject/providers';
import { BNB_ADDRESS, MAINNET_URL } from '../constants';
const provider = new JsonRpcProvider('https://bsc-dataseed1.binance.org/');
class Web3Service {
constructor() {
this.web3 = new Web3(MAINNET_URL);
@npearce
npearce / install-docker.md
Last active Dec 6, 2021
Amazon Linux 2 - install docker & docker-compose using 'sudo amazon-linux-extras' command
View install-docker.md

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start
@Jonalogy
Jonalogy / handling_multiple_github_accounts.md
Last active Dec 6, 2021
Handling Multiple Github Accounts on MacOS
View handling_multiple_github_accounts.md

Handling Multiple Github Accounts on MacOS

The only way I've succeeded so far is to employ SSH.

Assuming you are new to this like me, first I'd like to share with you that your Mac has a SSH config file in a .ssh directory. The config file is where you draw relations of your SSH keys to each GitHub (or Bitbucket) account, and all your SSH keys generated are saved into .ssh directory by default. You can navigate to it by running cd ~/.ssh within your terminal, open the config file with any editor, and it should look something like this:

Host *
 AddKeysToAgent yes
 UseKeyChain yes
View internals.md

A Tour of PyTorch Internals (Part I)

The fundamental unit in PyTorch is the Tensor. This post will serve as an overview for how we implement Tensors in PyTorch, such that the user can interact with it from the Python shell. In particular, we want to answer four main questions:

  1. How does PyTorch extend the Python interpreter to define a Tensor type that can be manipulated from Python code?
  2. How does PyTorch wrap the C libraries that actually define the Tensor's properties and methods?
  3. How does PyTorch cwrap work to generate code for Tensor methods?
  4. How does PyTorch's build system take all of these components to compile and generate a workable application?

Extending the Python Interpreter

PyTorch defines a new package torch. In this post we will consider the ._C module. This module is known as an "extension module" - a Python module written in C. Such modules allow us to define new built-in object types (e.g. the Tensor) and to call C/C++ functions.

@amir-rahnama
amir-rahnama / dataset.py
Created Dec 6, 2016
Write Your Own Custom Image Dataset for Tensorflow
View dataset.py
"""A generic module to read data."""
import numpy
import collections
from tensorflow.python.framework import dtypes
class DataSet(object):
"""Dataset class object."""
def __init__(self,
View gist:60efd1dba923796d33bb
# Add project specific ProGuard rules here.
# By default, the flags in this file are appended to flags specified
# in D:\sdk/tools/proguard/proguard-android.txt
# You can edit the include path and order by changing the proguardFiles
# directive in build.gradle.
#
# For more details, see
# http://developer.android.com/guide/developing/tools/proguard.html
# Add any project specific keep options here:
@lopspower
lopspower / README.md
Last active Aug 9, 2021
Publish AAR to jCenter and Maven Central
View README.md

Publish AAR to jCenter and Maven Central

Twitter

EDIT: You can find this same updated tutorial here -> Medium

Now I'm going to list how to publish an Android libray to jCenter and then syncronize it with Maven Central:

  1. I use "Android Studio" and I have this simple android lib that I would like to be available on maven: CircularImageView
@ktnr74
ktnr74 / service_call_test.py
Last active Jan 8, 2020
*update_transaction_codes.py* parses Android services source code to find out transaction codes and saves them in YAML format for later use. *transaction_codes.yaml* is an example of the resulting file. *service_call_test.py* shows how it can be used
View service_call_test.py
#!/usr/bin/python
import os
import sys
import time
import yaml
import subprocess
import re
import struct
View get_android_service_call_numbers.sh
#!/bin/bash
ADBShell () { adb ${2+-s} $2 shell "$1" | tr -d '\r'
}
GetAndroidVersion () {
GOOGLE_SOURCE="https://android.googlesource.com"
REPO="platform/frameworks/base"
ALL_TAGS=$(wget -qO - "$GOOGLE_SOURCE/$REPO/+refs/tags/?format=text" | \
tr -d '^{}' | cut -d/ -f3 | sort -u | grep -vE -- '-(cts|sdk)-' | grep -v "_r0")
View ddd-in-golang.markdown

This is my response to an email asking about Domain-Driven Design in golang project.

Thank you for getting in touch. Below you will find my thoughts on how golang works with DDD, changing it. This is merely a perception of how things worked out for us in a single project.

That project has a relatively well-known domain. My colleagues on this project are very knowledgeable, thoughtful and invested in quality design. The story spelled out below is a result of countless hours spent discussing and refining the approach.

Conclusions could be very different, if there was a different project, team or a story-teller.

Short story