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#!/bin/bash | |
# ~/.bashrc: executed by bash(1) for non-login shells. | |
# kevin gallagher (@ageis) <kevingallagher@gmail.com> | |
# normally I divide this into separate files: .bashrc, .bash_profile, .bash_aliases and .bash_functions (also .bash_logout), but it's all concatenated here. | |
ulimit -s unlimited | |
export MYUID=$(id -u) | |
export USER="$(id -un)" | |
if [[ "$TILIX_ID" ]] || [[ "$VTE_VERSION" ]]; then |
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import torch | |
from torch import LongTensor | |
from torch.nn import Embedding, LSTM | |
from torch.autograd import Variable | |
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium'] | |
# | |
# Step 1: Construct Vocabulary | |
# Step 2: Load indexed data (list of instances, where each instance is list of character indices) |
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# FFMPEG example of Blocking Mode Audio I/O https://people.csail.mit.edu/hubert/pyaudio/docs/ | |
"""PyAudio Example: Play a wave file.""" | |
import pyaudio | |
import wave | |
import sys | |
import subprocess | |
CHUNK = 1024 |
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#!/usr/bin/env python | |
# -*- coding=utf-8 -*- | |
""" | |
Download subtitle from YouTube Viedos. | |
Update: add playlist url parse | |
""" | |
import os | |
import re | |
import sys | |
import json |
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import torch | |
import torch.nn as nn | |
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
seqs = ['gigantic_string','tiny_str','medium_str'] | |
# make <pad> idx 0 | |
vocab = ['<pad>'] + sorted(set(''.join(seqs))) | |
# make model |