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Flink History Server (fork)

---

Current

---

• The History server just needs the job-archive (GCS Bucket) location to start.

flowchart TD
 subgraph HistoryServer

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# time python 21.py
# python 21.py  0.48s user 0.12s system 79% cpu 0.748 total
#
#
import re
from collections import defaultdict
from sympy import solve

INPUT = '21.input'
memonkey = 'humn'

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class Node:
    def __init__(self, value):
        self.value = value
        self.next = None
        self.prev = None

    def __str__(self):
        return f'[{str(self.value)}]'
    
    def __repr__(self):

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NFS Server

---

• Create NFS Server as shown here
  • Just step 1. is enough.
  • For k8s pvc provisioning, follow all steps including csi-driver & storage-class.
• Now if your server is all set up, we should be able to mount it from any device in the LAN. (Based on the subnet you whitelisted in the step above)
• MacOS commands:
  • showmount -e <ip-address-of-nfs-server> will show the shared <mount-path>
• sudo mkdir -p /private/nfs

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Instructions

---

• rustup target install wasm32-unknown-unknown

• cargo install wasm-server-runner

• cargo install wasm-bindgen-cli

• Add this to your Cargo.toml

[target.wasm32-unknown-unknown]

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apiVersion: apps/v1
kind: Deployment
metadata:
  name: ephemeral-test-deployment
  namespace: test-namespace
spec:
  replicas: 600
  selector:
    matchLabels:
      app: ephemeral-test-deployment

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apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: ephemeral-test-statefulset
  namespace: test-namespace
spec:
  replicas: 600
  serviceName: ephemeral-test-statefulset
  podManagementPolicy: Parallel
  selector:

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# Suppose you have a black image with white spots
# This script will give you box coordinates of those spots
# 
# 
# live-wire.github.io
#
# We will look at the image from the bottom-left and spread outwards
# If a 1 is encountered, the algorithm will try to spread in all directions from that cell. 
# See functions possible_moves, possible_moves_exhaustive

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# Expects jp2 files in folder jp2-files/
# jpeg files are generated in folder jpeg-files/

import os
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True

input_folder = "jp2-files"
output_folder = "jpeg-files"

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# Video reverse

import imageio
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("--video", help="file path of video to be reversed")
args = parser.parse_args()

def main():