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A few ready-to use python tools for machine learning

Project description

FlashPythonToolbox

A few ready-to use python tools for machine learning

Install

pip install flashtool

Logger (to file)

For every print function, we print a copy to file without changing the whole file.

Logger(filepath = "./log.txt", mode = "w", stdout = None)
  • filepath: output path. Default: "./log.txt"
  • mode: write mode, e.g., w,w+,a,a+. Default: "w"
  • stdout: capture which print source. Default: "sys.stdout"

Example:

from flashtool import Logger
import sys
sys.stdout = Logger("path/to/log/file/log.txt")
sys.stdout = Logger("path/to/log/file/log.txt","w")
sys.stdout = Logger("path/to/log/file/log.txt","w", sys.stdout)

Email Module

Default Sender: gtflashauto@gmail.com. You need a password for this.

# Function api
def send_email(port = 587,password = None,
        sender_email = "gtflashauto@gmail.com",
        smtp_server="smtp.gmail.com",
        receiver_email = None,
        subject="Subject",
        message="Hello! "):
    ...

# Example
from flashtool import send_email
send_email(receiver_email="xxx@gmail.com", subject="Hi", message="first email")

Track Job

Track your job. Send you an email when it is done.

Tracking by PID

  • Step 1: find your job pid by ps, e.g., ps aux | grep python
  • Step 2:
from flashtool import trackpid
trackpid(12345,5,"xxx@gmail.com")
trackpid([1357,2468],5,"xxx@gmail.com")

API:

def trackpid(pid, checktime=1, receiver_email=None, sender_email="gtflashauto@gmail.com", msg=""):
  ...
  • pid: pid or pids
  • checktime: check pid every checktime seconds
  • msg: additional message

Project details


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