korakot

url = 'https://ziglang.org/download/0.10.1/zig-linux-x86_64-0.10.1.tar.xz'
!curl $url | tar xJ 
!mv zig-linux-x86_64-0.10.1 /opt/bin

%%file main.zig
const std = @import("std");
pub fn main() void {
    std.debug.print("Hello world\n", .{});
}

korakot

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korakot

def context(line, word, padding=40):
  # หาคำแรก แล้ว pre-40, หาคำสุดท้าย post+40 เอาง่ายๆ แบบนี้ล่ะ
  p1 = line.index(word)
  p1s = line.rfind(' ', 0, max(0, p1-padding))
  if p1s==-1:
    p1s = 0
  p2 = line.rindex(word)
  p2s = line.find(' ', min(len(line), p2+padding))
  if p2s == -1:
    p2s = len(line)

korakot

from pathlib import Path
!pip -q install python-docx
from docx import Document

files = list(Path('docx').glob('*.docx'))

def docx_lines(path):
  doc = Document(path)
  lines = []
  for para in doc.paragraphs:

korakot

# bucket: dham
# path: /first.wav
https://dham.s3.amazonaws.com/first.wav
# longer URL with region
https://dham.s3.us-west-2.amazonaws.com/first.wav

korakot

import boto3

tran = boto3.client('transcribe')

def check_jobs(in_name):
  jobs = []
  resp = tran.list_transcription_jobs(JobNameContains=in_name)
  while True:
    jobs += resp['TranscriptionJobSummaries']
    next_token = resp.get('NextToken')

korakot

jupyter kernelspec remove ir -f

korakot

from google.colab import output
output.clear()

# IPython also has clear_output() but this is shorter.

korakot

import io
text = io.open('aa1.txt', encoding='utf-16-le').read()

korakot

import re
convert = lambda text: int(text) if text.isdigit() else text.lower()
alphanum = lambda key: [convert(c) for c in re.split('([0-9]+)', key)]

sorted(items, key=alphanum)

# another solution
natsort = lambda s: [int(t) if t.isdigit() else t.lower() for t in re.split('(\d+)', s)]
sorted(items, key=natsort)