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#!/usr/bin/env bash
cat train.csv | sed 's/ /_/g' | sed 's/,/ /g' | awk '{print $1}' | grep "$1" | sort | uniq

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import boto3
bucket, prefix = 'my_bucket', 'datasets/dogs_vs_cats'
paginator = boto3.client('s3').get_paginator('list_objects')
with open('manifest.jsonl', 'w') as f:
    for page in paginator.paginate(Bucket=bucket, Prefix=prefix):
        for obj in page['Contents']:
            lbl = 0 if 'dog.' in obj['Key'] else 1
            f.write('{{"source-ref":"s3://{}/{}", "class":"{}"}}\n'\
                .format(bucket, obj['Key'], lbl))

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aws stepfunctions start-execution \
  - state-machine-arn {CrossValidatorStateMachineArn} \
  - input file://my_input.json

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import glob
prefix = 's3://my_bucket/dogs_vs_cats/'
with open('manifest.jsonl', 'w') as f:
    for img in glob.glob('*.jpg'):
        lbl = 0 if img.startswith('dog') else 1
        f.write('{{"source-ref":"{}{}", "class":"{}"}}\n'\
                .format(prefix, img, lbl))

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'''
A snippet demonstrating how an AWS IoT device can make direct calls to every AWS
service using only the device certificate and private key.

For more info see the docs at https://docs.aws.amazon.com/iot/latest/developerguide/authorizing-direct-aws.html
to create the role and the role alias. To get the AWS IoT credential provider endpoint of your account you can use

    $ aws iot describe-endpoint --endpoint-type iot:CredentialProvider
    
Dependencies: requests and boto3

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import os
import json
from pathlib import Path
from urllib.parse import urljoin

import jsonschema

def add_local_schemas_to(resolver, schema_folder, base_uri, schema_ext='.schema.json'):
    ''' Add local schema instances to a resolver schema cache. 
    

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municip.	population	start date	expected mortality	actual mortality	excess rate	date of peak	figure
Nembro	11526	2020‑02‑20	15	149	993%	2020‑03‑10
Albino	17805	2020‑02‑21	15	141	940%	2020‑03‑13	![Excess mortality in Albino](https://gist.github.com/mrtj/8daefd0e5f103e5611850ac2cae8bc1b/raw/6a61fb3ea435b34411a88252d19c56ddfef2d063/mortali

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''' The parse_telegram_export function in this gist parses the html export of a Telegram chat.
You should have [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/) and 
[dateutil](https://dateutil.readthedocs.io/) installed. It extracts the sender name, the 
message date and time, the message text and the links in the message.
'''

from bs4 import BeautifulSoup
import dateutil

def parse_telegram_export(html_str, tz_name=None):

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from __future__ import print_function
import csv

def print_row(row, maxlen):
    for elem, len in zip (row, maxlen):
        print('| {} '.format(elem.ljust(len)), end='')
    print('|')

def print_hline(maxlen):
    for len in maxlen:

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import boto3
import logging
import json
import re
import uuid
import argparse

'''
This script enables the IoT shadow syncing for your AWS Greengrass Core.