Arjun Sunil arjun921

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np.hamming as a floatarray in Kotlin.

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You can implement the Hamming window function in Kotlin as a FloatArray like this:

fun hammingWindow(length: Int): FloatArray {
    val window = FloatArray(length)
 val alpha = 0.54f

	import multiprocessing
	import os
	import time

	from confluent_kafka import Consumer, TopicPartition

	import ccloud_lib


	def get_partition_lag(partition: int):

	import os
	from datetime import datetime as dt
	from pathlib import Path

	yy = str(dt.now().year)
	mm = str(dt.now().month)
	dd = str(dt.now().day)
	a = yy+mm+dd

	work_dir_root = Path('<set your working directory/TIL local folder here>')

	def caesarCipher(s, k):
	"""
	s -- input string
	k -- rotate by k
	"""
	rotate = k
	original_language = {}
	rotated = {}
	leng = len(string.ascii_lowercase)-1
	if rotate>leng:

	import numpy as np
	from tensorflow.keras.preprocessing import image
	from tensorflow.keras.utils import get_file

	img_url = 'paste-url-here'
	random_string_for_file_name = 'test_image'
	img = image.load_img(get_file(random_string_for_file_name,img_url),target_size=(150,150))

	img_arr = image.img_to_array(img)
	img_arr = np.expand_dims(img_arr, axis=0)

	plugins:
	- kind: KfAwsPlugin
	metadata:
	name: aws
	spec:
	auth:
	oidc:
	certArn: arn:aws:acm:us-west-2:########:certificate/#######-#####-###-#
	oAuthClientId: Your Auth0 App Client Id
	oAuthClientSecret: Your Auth0 App Client Secret

	#!/bin/bash
	while [[ $(kubectl get pods $pod_name -o json \| jq -r .status.containerStatuses[0].state.terminated.reason) != "Completed" ]]; do
	echo "waiting for pod to finish docker build and push" && sleep 5
	done

	$ kubectl get svc --all-namespaces \| grep LoadBalancer
	ingress-nginx random-services-nginx-ingress-controller LoadBalancer 125.65.52.145 a2smioi173y7912bs6a-195942069.us-east-2.elb.amazonaws.com 80:30223/TCP,443:31030/TCP 19d