Swarup Ghosh swghosh

## 00-letsencrypt-prod-certs.yaml
apiVersion: cert-manager.io/v1
kind: Issuer
metadata:
  name: letsencrypt
spec:
  acme:
    server: https://acme-v02.api.letsencrypt.org/directory
    email: "swghosh@redhat.com"
    privateKeySecretRef:
      name: letsencrypt

## resize_disk_image.md

      
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                swghosh
                / resize_disk_image.md
            
            
              Created
              November 18, 2022 20:51
                — forked from joseluisq/resize_disk_image.md
            
              
                How to resize a qcow2 disk image on Linux
              
          
      View resize_disk_image.md
  
      
    How to resize a qcow2 disk image on Linux
This example takes olddisk.qcow2 and resizes it into newdisk.qcow2,
extending one of the guest's partitions to fill the extra space.
1. qcow2 format
1.1. Verify the filesystems of olddisk.qcow2


## crio_build_and_ignite_k8s_node_e2e.sh
#!/usr/bin/env bash
set -eou pipefail

# Set these variables

# cri-o repo dir- path to cri-o source
CRIO_DIR=~/repositories/cri-o
# ignition dir- output directory for generated ignition config
IGNITION_OUT_DIR=~/Desktop
# evented pleg- use 0/1 as it's value depending upon whether crio binary should be started with --evented_pleg flag or not

## .colored_bash_prompt.bashrc
#!/usr/bin/env bash

export COLOR_NC='\e[0m' # No Color
export COLOR_BLACK='\e[0;30m'
export COLOR_GRAY='\e[1;30m'
export COLOR_RED='\e[0;31m'
export COLOR_LIGHT_RED='\e[1;31m'
export COLOR_GREEN='\e[0;32m'
export COLOR_LIGHT_GREEN='\e[1;32m'
export COLOR_BROWN='\e[0;33m'

## xrdp_fedora29.md

      
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                swghosh
                / xrdp_fedora29.md
            
            
              Created
              December 10, 2021 07:08
                — forked from jpwhite3/xrdp_fedora29.md
            
              
                How to configure XRDP on Fedora 29
              
          
      View xrdp_fedora29.md
  
      
    How to configure XRDP on Fedora 29
From: https://ask.fedoraproject.org/en/question/115753/how-to-configure-xrdp-on-fedora-27/
Install
dnf install xrdp
systemctl start xrdp


## # python@3.8 - 2020-12-03_20-04-11.txt
Homebrew build logs for python@3.8 on macOS 11.0.1
Build date: 2020-12-03 20:04:11

## # python@3.9 - 2020-11-30_02-46-23.txt
Homebrew build logs for python@3.9 on macOS 11.0.1
Build date: 2020-11-30 02:46:23

## GoogLeNet.py
#!/usr/bin/env python3

"""
Construct GoogLeNet incarnation of the Inception network using Keras.
"""

from tensorflow.keras.layers import Conv2D, MaxPooling2D, AveragePooling2D, GlobalAveragePooling2D
from tensorflow.keras.layers import Input, Dense, Dropout, Concatenate, Flatten
from tensorflow.nn import local_response_normalization
from tensorflow.keras.regularizers import l2
	apiVersion: cert-manager.io/v1
	kind: Issuer
	metadata:
	name: letsencrypt
	spec:
	acme:
	server: https://acme-v02.api.letsencrypt.org/directory
	email: "swghosh@redhat.com"
	privateKeySecretRef:
	name: letsencrypt
	#!/usr/bin/env bash
	set -eou pipefail

	# Set these variables

	# cri-o repo dir- path to cri-o source
	CRIO_DIR=~/repositories/cri-o
	# ignition dir- output directory for generated ignition config
	IGNITION_OUT_DIR=~/Desktop
	# evented pleg- use 0/1 as it's value depending upon whether crio binary should be started with --evented_pleg flag or not
	#!/usr/bin/env bash

	export COLOR_NC='\e[0m' # No Color
	export COLOR_BLACK='\e[0;30m'
	export COLOR_GRAY='\e[1;30m'
	export COLOR_RED='\e[0;31m'
	export COLOR_LIGHT_RED='\e[1;31m'
	export COLOR_GREEN='\e[0;32m'
	export COLOR_LIGHT_GREEN='\e[1;32m'
	export COLOR_BROWN='\e[0;33m'
	Homebrew build logs for python@3.8 on macOS 11.0.1
	Build date: 2020-12-03 20:04:11
	Homebrew build logs for python@3.9 on macOS 11.0.1
	Build date: 2020-11-30 02:46:23
	#!/usr/bin/env python3

	"""
	Construct GoogLeNet incarnation of the Inception network using Keras.
	"""

	from tensorflow.keras.layers import Conv2D, MaxPooling2D, AveragePooling2D, GlobalAveragePooling2D
	from tensorflow.keras.layers import Input, Dense, Dropout, Concatenate, Flatten
	from tensorflow.nn import local_response_normalization
	from tensorflow.keras.regularizers import l2