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if grep -q 'source <(kubectl completion bash)' ~/.bashrc; then
  echo 'alias k=kubectl' >> ~/.bashrc
  echo 'complete -F __start_kubectl k' >> ~/.bashrc
fi
source ~/.bashrc

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# pip install boto3

class S3Util:

  def __init__(self):
    self.s3 = boto3.resource(service_name='s3',region_name='us-east-2')

  def fetch_all_buckets():
    for bucket in self.s3.buckets.all():

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# -*- coding: utf-8 -*-

import torch as th
import torchvision.transforms as T
import requests
from PIL import Image, ImageDraw, ImageFont
import matplotlib.pyplot as plt


class DETRModel(object):

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import requests
from datetime import datetime
import numpy as np

base_url= "http://165.22.250.235/api/assessment"

def Get(url:str, headers:dict = None):
    if headers == None: headers = {}
    resp = requests.get(url, headers=headers)
    return resp

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jt -t grade3 -fs 11 -f roboto -tfs 11 -nfs 115 -cellw 88% -T

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import ipywidgets as widgets
import matplotlib.pyplot as plt
from IPython.display import display, Markdown, clear_output
​
menu = widgets.Dropdown(options=['red', 'blue', 'green'], value="red", description='Color:')
out = widgets.Output()
​
def on_change(change):
    with out:
        if change['type'] == 'change' and change['name'] == 'value':

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package main

import (
  "fmt"
  "time"
  "sync"
  "os/exec"
)
var wg sync.WaitGroup

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kind: MasterConfiguration
apiVersion: kubeadm.k8s.io/v1alpha1
controllerManagerExtraArgs:
  horizontal-pod-autoscaler-use-rest-clients: "true"
  horizontal-pod-autoscaler-sync-period: "10s"
  node-monitor-grace-period: "10s"
apiServerExtraArgs:
  runtime-config: "api/all=true"
kubernetesVersion: "stable-1.8"

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"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)