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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
from __future__ import print_function | |
__author__ = 'maxim' | |
import numpy as np | |
import gensim | |
import string |
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// In v2/3 you did this: | |
import ReactDOM from 'react-dom' | |
import { Router, browserHistory, Route } from 'react-router' | |
ReactDOM.render( | |
<Router> | |
<Route path="/about" component={About}/> | |
<Route path="/:username" component={User}/> | |
</Router> | |
) |
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function* runTimer(getState) { | |
while(yield take('START')) { | |
while(true) { | |
const {stop, tick} = yield race({ | |
stop : take('STOP'), | |
tick : call(wait, ONE_SECOND); | |
}) | |
if ( !stop ) { | |
yield put(actions.tick()); |
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""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
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function *doStuff(){ | |
yield 1; | |
yield 2; | |
yield *doStuff(); | |
} | |
var it = doStuff(); | |
var res; | |
res = it.next(); |