jstanden

using UnityEngine;
using System.Collections;

public class SimplexNoiseGenerator {
    private int[] A = new int[3];
    private float s, u, v, w;
    private int i, j, k;
    private float onethird = 0.333333333f;
    private float onesixth = 0.166666667f;
    private int[] T;

sloria

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

jasonsperske

MIT License

Copyright (c) 2018 Jason Sperske

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

hidroh

emulator -list-avds | cat -n
printf "Select AVD: "
read index
avd=$(emulator -list-avds | sed "${index}q;d")
echo "Selected $avd"
emulator -netdelay none -netspeed full -avd $avd

FinlayDaG33k

Run this command to install MG-CLI:
sudo apt-get update && wget https://minergate.com/download/deb-cli -O minergate-cli.deb && sudo dpkg -i minergate-cli.deb

to start miner (4 cores for BCN) use this command:
minergate-cli -user <[email protected]> -bcn 4


Feel free to send some of your earnings to me:
BTC (Don't attempt to send other coins to this address!): 17f77AYHsQbdsB1Q6BbqPahJ8ZrjFLYH2j

iskandr

import keras.backend as K
from keras.layers import Dense, Activation, Multiply, Add, Lambda
import keras.initializers

def highway_layers(value, n_layers, activation="tanh", gate_bias=-3):
    dim = K.int_shape(value)[-1]
    gate_bias_initializer = keras.initializers.Constant(gate_bias)
    for i in range(n_layers):     
        gate = Dense(units=dim, bias_initializer=gate_bias_initializer)(value)
        gate = Activation("sigmoid")(gate)

tobiasraabe

import click
import hashlib
import requests

from pathlib import Path
from tqdm import tqdm


CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])

chinmaygarde

# Flutter (https://flutter.io) Developement Environment for Linux
# ===============================================================
#
# This environment passes all Linux Flutter Doctor checks and is sufficient
# for building Android applications and running Flutter tests.
#
# To build iOS applications, a Mac development environment is necessary.
#

FROM debian:stretch

jlebensold

from pathlib import Path
import torch
import torch.nn as nn
import torch.nn.functional as F


class TanhNet(nn.Module):
    def __init__(self, in_features, h_units):
        super(TanhNet, self).__init__()
        self.fc1 = nn.Linear(in_features, h_units)

DataSolveProblems

import sys
import pandas as pd
from PyQt5.QtWidgets import QApplication, QTableView
from PyQt5.QtCore import QAbstractTableModel, Qt

df = pd.DataFrame({'a': ['Mary', 'Jim', 'John'],
                   'b': [100, 200, 300],
                   'c': ['a', 'b', 'c']})

class pandasModel(QAbstractTableModel):