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import os
import subprocess
import time
import socket

DB_IS_DRIVER = os.getenv('DB_IS_DRIVER')
DB_DRIVER_IP = os.getenv('DB_DRIVER_IP')

if DB_IS_DRIVER == "TRUE":
    print("This node is the Dask scheduler.")

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import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.runners.dask.dask_runner import DaskRunner

from dask.distributed import Client, performance_report

class NoopDoFn(beam.DoFn):
    def process(self, item):
        import time
        time.sleep(0.1)

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import warnings
import time
from contextlib import contextmanager

import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.runners.dask.dask_runner import DaskRunner

from dask.distributed import Client
from distributed.versions import VersionMismatchWarning

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apiVersion: v1
kind: ServiceAccount
metadata:
  name: jovyan
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: jovyan
rules:

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apiVersion: kubernetes.dask.org/v1
kind: DaskCluster
metadata:
  name: demo
spec:
  worker:
    replicas: 2
    spec:
      containers:
      - name: worker

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Install vhs.

$ conda create -n textual-demo python=3.10 -y

$ conda activate textual-demo

$ pip install textual

$ vhs < demo.tape

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jacobtomlinson

# A script that gives a local Dask cluster something to do without stressing hardware.
# Useful for testing the dashboard.

import time

from dask_ctl import get_cluster
from dask.distributed import Client, wait
from dask import delayed

jacobtomlinson

Amazon Web Services (AWS)

.. currentmodule:: dask_cloudprovider.aws

.. autosummary::
   EC2Cluster
 ECSCluster

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