Kshitij Patil Kshitij09

## sjira.sh
function sjira() {
    local __usage="
    Usage: sjira GROW-3599 [-poc]

    Options:
        -p, --print     Print genereated URL
        -o, --open      Open generated URL in browser (Default)
        -c, --copy      Copy generated URL to clipboard
    "
    if [ "$#" -lt 1 ]; then

## generate_PKCS8-X509_keypair.md

      
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                Kshitij09
                / generate_PKCS8-X509_keypair.md
            
            
              Last active
              November 8, 2021 21:17
            
              
                Guide to generate public-private keypair to be used for Asymmetric JWT Signing with Java
              
          
Generate a 2048-bit RSA private key
openssl genrsa -out private_key.pem 2048


Convert private Key to PKCS#8 format (so Java can read it)


openssl pkcs8 -topk8 -inform pem -in private_key.pem -outform der -nocrypt -out private_key.der.pkcs8

  
## ComposeAutoCompleteTextField.kt
@Composable
fun AutoCompleteTextField(
    initialText: String,
    itemList: List<String>,
    onQuery: (String) -> Unit,
    onClearResults: () -> Unit,
    modifier: Modifier = Modifier
) {
    val (field, changeField) = savedInstanceState(saver = TextFieldValue.Saver) { TextFieldValue(text = initialText) }
    LaunchedEffect(subject = field.text) {

## get-compose-samples.sh
#!/bin/bash

check_if_assets_empty() {
    release_id=$1
    assets=$(curl -q https://api.github.com/repos/android/compose-samples/releases/$release_id/assets 2>/dev/null)
    [ ${#assets[@]} -eq 0 ]
}

ask() {
    read -ep "$1" answer

## android_snippets.kt
// Hide the keyboard on button click
val imm = getSystemService(Context.INPUT_METHOD_SERVICE) as InputMethodManager
imm.hideSoftInputFromWindow(view.windowToken, 0)

// hide the menu item if doesn't resolve
// getShareIntent() is supposed to return your intent object
if (null == getShareIntent().resolveActivity(activity!!.packageManager)) {
  menu.findItem(R.id.share).setVisible(false)
}

## lightning_utils.py
from pytorch_lightning import Callback
from IPython.display import display, clear_output
import copy
import pandas as pd
import torch
from torch import nn
import matplotlib.pyplot as plt
import math

imagenet_stats = ([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])

## imagewoof-class-mappings.py
lbl_dict = dict(
  n02086240= 'Shih-Tzu',
  n02087394= 'Rhodesian ridgeback',
  n02088364= 'Beagle',
  n02089973= 'English foxhound',
  n02093754= 'Australian terrier',
  n02096294= 'Border terrier',
  n02099601= 'Golden retriever',
  n02105641= 'Old English sheepdog',
  n02111889= 'Samoyed',

## PrintCallback.py
import torch
from pytorch_lightning import Callback
from IPython.display import display, clear_output
import copy
import pandas as pd

def unwrap(x):
  if isinstance(x,torch.Tensor):
    return x.item()
  return x

## fastai2_colab_setup.sh
#!/bin/bash
if [ ! -e /content/models ]; then
        mkdir -p /root/.fastai/data
        ln -s /root/.cache/torch/checkpoints/ /content
        ln -s /root/.fastai/data /content
        rm -rf /content/sample_data/
        mkdir /content/models
fi
echo Installing dependencies
pip install -q feather-format kornia pyarrow wandb nbdev fastprogress --upgrade

## parse_xml.js
/**
 * <input type="file" id="xmlFile" />
 * include this tag in your html file
 * you can use the following xml file for testing
 * file URL: https://drive.google.com/file/d/1Ifef0RCqCq5apRT2LQbB6HguD43VpTXF/view?usp=sharing
 */

document.querySelector('#xmlFile').addEventListener('change', readFile, false);

function readFile(e) {
	function sjira() {
	local __usage="
	Usage: sjira GROW-3599 [-poc]

	Options:
	-p, --print Print genereated URL
	-o, --open Open generated URL in browser (Default)
	-c, --copy Copy generated URL to clipboard
	"
	if [ "$#" -lt 1 ]; then
	@Composable
	fun AutoCompleteTextField(
	initialText: String,
	itemList: List<String>,
	onQuery: (String) -> Unit,
	onClearResults: () -> Unit,
	modifier: Modifier = Modifier
	) {
	val (field, changeField) = savedInstanceState(saver = TextFieldValue.Saver) { TextFieldValue(text = initialText) }
	LaunchedEffect(subject = field.text) {
	#!/bin/bash

	check_if_assets_empty() {
	release_id=$1
	assets=$(curl -q https://api.github.com/repos/android/compose-samples/releases/$release_id/assets 2>/dev/null)
	[ ${#assets[@]} -eq 0 ]
	}

	ask() {
	read -ep "$1" answer
	// Hide the keyboard on button click
	val imm = getSystemService(Context.INPUT_METHOD_SERVICE) as InputMethodManager
	imm.hideSoftInputFromWindow(view.windowToken, 0)

	// hide the menu item if doesn't resolve
	// getShareIntent() is supposed to return your intent object
	if (null == getShareIntent().resolveActivity(activity!!.packageManager)) {
	menu.findItem(R.id.share).setVisible(false)
	}
	from pytorch_lightning import Callback
	from IPython.display import display, clear_output
	import copy
	import pandas as pd
	import torch
	from torch import nn
	import matplotlib.pyplot as plt
	import math

	imagenet_stats = ([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
	lbl_dict = dict(
	n02086240= 'Shih-Tzu',
	n02087394= 'Rhodesian ridgeback',
	n02088364= 'Beagle',
	n02089973= 'English foxhound',
	n02093754= 'Australian terrier',
	n02096294= 'Border terrier',
	n02099601= 'Golden retriever',
	n02105641= 'Old English sheepdog',
	n02111889= 'Samoyed',
	#!/bin/bash
	if [ ! -e /content/models ]; then
	mkdir -p /root/.fastai/data
	ln -s /root/.cache/torch/checkpoints/ /content
	ln -s /root/.fastai/data /content
	rm -rf /content/sample_data/
	mkdir /content/models
	fi
	echo Installing dependencies
	pip install -q feather-format kornia pyarrow wandb nbdev fastprogress --upgrade
	/**
	* <input type="file" id="xmlFile" />
	* include this tag in your html file
	* you can use the following xml file for testing
	* file URL: https://drive.google.com/file/d/1Ifef0RCqCq5apRT2LQbB6HguD43VpTXF/view?usp=sharing
	*/

	document.querySelector('#xmlFile').addEventListener('change', readFile, false);

	function readFile(e) {