binhna

absl-py==2.1.0
accelerate==0.31.0
aiohttp==3.9.5
aiosignal==1.3.1
alabaster==0.7.16
annotated-types==0.7.0
anyio==4.4.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
array_record==0.5.1

binhna

# download
curl -O http://www.openfst.org/twiki/pub/FST/FstDownload/openfst-1.6.2.tar.gz
tar -xvzf openfst-1.6.2.tar.gz
rm openfst-1.6.2.tar.gz
cd openfst-1.6.2
./configure --enable-python
make
make install

# Test installtion

binhna

1. Find the culprit sshfs process:

   $ pgrep -lf sshfs

2. Kill it:

   $ kill -9 <pid_of_sshfs_process>

3. sudo force unmount the "unavailable" directory:

binhna

import talib
import pandas as pd
import glob
from tqdm import tqdm

def cal_wavetrend(df):
    df['hlc3'] = (df['high']+df['low']+df['close'])/3
    df['esa'] = talib.EMA(df.hlc3, 10)
    df['d'] = talib.EMA(abs(df.hlc3 - df.esa), 10)
    df['ci'] = (df['hlc3'] - df['esa']) / (0.015*df['d'])

binhna

from flask import Flask, request, jsonify
from flask_bootstrap import Bootstrap
from flask_cors import CORS

import torch
import pickle
from infer_chunking import load_model, infer_sentence
task_er, model_er, is_cuda = load_model()

app = Flask(__name__)

binhna

from tqdm import tqdm
import requests

url = "http://www.ovh.net/files/10Mb.dat" #big file test
file_name = url.split('/')[-1]
# Streaming, so we can iterate over the response.
r = requests.get(url, stream=True)
# Total size in bytes.
total_size = int(r.headers.get('content-length', 0))
block_size = 1024 #1 Kibibyte

binhna

from tqdm import tqdm as tqdm
from argparse import ArgumentParser
import requests

def download_file_from_google_drive(id, destination):
    def get_confirm_token(response):
        for key, value in response.cookies.items():
            if key.startswith('download_warning'):
                return value

binhna

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