How to use the parsl.config.Config function in parsl

from parsl.providers import LocalProvider
from parsl.channels import LocalChannel
from parsl.launchers import SimpleLauncher

from parsl.config import Config
from parsl.executors import ExtremeScaleExecutor

config = Config(
    executors=[
        ExtremeScaleExecutor(
            label="Extreme_Local",
            worker_debug=True,
            ranks_per_node=2,
            provider=LocalProvider(
                channel=LocalChannel(),
                init_blocks=1,
                max_blocks=1,
                launcher=SimpleLauncher(),
            )
        )
    ],
    strategy=None,
)

args = p.parse_args()
print('Argparse:  --executor='+args.executor, flush=True)


# Here we can add htex_strategy for option
# config
if args.executor == 'ThreadPool':
  config = Config(
      executors=[ThreadPoolExecutor(
          #label='threads',
          label='htex_local',
          max_threads=5)
      ],
  )
elif args.executor == 'HighThroughput_Local':
  config = Config(
      executors=[
          HighThroughputExecutor(
            label="htex_local",
            cores_per_worker=1,
            provider=LocalProvider(
              channel=LocalChannel(),
              init_blocks=1,
              max_blocks=1,
              # tasks_perss_node=1,  # For HighThroughputExecutor, this option sho<
              launcher=SingleNodeLauncher(),
            ),
        )
    ],
    #strategy='htex_aggressive',
    #strategy='htex_totaltime',
    #strategy='simple',

from parsl.config import Config
from parsl.executors import HighThroughputExecutor
from parsl.addresses import address_by_hostname
from parsl.launchers import MpiRunLauncher
from parsl.providers import CobaltProvider


config = Config(
    executors=[
        HighThroughputExecutor(
            label="cooley_htex",
            worker_debug=False,
            cores_per_worker=1,
            address=address_by_hostname(),
            provider=CobaltProvider(
                queue='debug',
                account='YOUR_ACCOUNT',  # project name to submit the job
                launcher=MpiRunLauncher(),
                scheduler_options='',  # string to prepend to #COBALT blocks in the submit script to the scheduler
                worker_init='',  # command to run before starting a worker, such as 'source activate env'
                init_blocks=1,
                max_blocks=1,
                min_blocks=1,
                nodes_per_block=4,

from parsl.channels import SSHChannel
from parsl.providers import SlurmProvider
from parsl.launchers import SrunLauncher

from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.executors.ipp_controller import Controller

# This is an example config, make sure to
#        replace the specific values below with the literal values
#          (e.g., 'USERNAME' -> 'your_username')

config = Config(
    executors=[
        IPyParallelExecutor(
            label='comet_ipp_multinode',
            provider=SlurmProvider(
                'debug',
                channel=SSHChannel(
                    hostname='comet.sdsc.xsede.org',
                    username='USERNAME',     # Please replace USERNAME with your username
                    script_dir='/home/USERNAME/parsl_scripts',    # Please replace USERNAME with your username
                ),
                launcher=SrunLauncher(),
                scheduler_options='',     # Input your scheduler_options if needed
                worker_init='',     # Input your worker_init if needed
                walltime="00:10:00",
                init_blocks=1,
                max_blocks=1,

from parsl.providers import LocalProvider
from parsl.channels import LocalChannel

from parsl.config import Config
from parsl.executors.mpix import MPIExecutor

config = Config(
    executors=[
        MPIExecutor(
            label="MPIX_Local",

            # Set the public ip of the machine you are launching the workflow from. Default: 127.0.0.1 for local runs.
            # public_ip = "10.236.1.193"

            # Set the worker ports explicitly. This is useful for re-using workers between workflows.
            # worker_ports=(50078, 50079),

            # Set a port range from which ports should be picked.
            worker_port_range=(40010, 40020),

            # The fabric_threaded.py script launches the MPI version
            # launch_cmd="./cleanup.sh ; mpiexec -np 4 python3 fabric_threaded.py {debug} --task_url={task_url} --result_url={result_url}",

from parsl.config import Config
from parsl.executors.threads import ThreadPoolExecutor

config = Config(
    executors=[
        ThreadPoolExecutor(
            label='local_threads_checkpoint',
        )

from parsl.providers import CobaltProvider
from parsl.launchers import AprunLauncher

from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.executors.ipp_controller import Controller

# This is an example config, make sure to
#        replace the specific values below with the literal values
#          (e.g., 'USERNAME' -> 'your_username')

config = Config(
    executors=[
        IPyParallelExecutor(
            label='theta_local_ipp_multinode',
            workers_per_node=1,
            provider=CobaltProvider(
                queue="debug-flat-quad",
                launcher=AprunLauncher(),
                walltime="00:30:00",
                nodes_per_block=2,
                init_blocks=1,
                max_blocks=1,
                scheduler_options='',     # Input your scheduler_options if needed
                worker_init='',     # Input your worker_init if needed
                account='ALCF_ALLOCATION',    # Please replace ALCF_ALLOCATION with your ALCF allocation
                cmd_timeout=60
            ),

====================================
"""
from parsl.channels import SSHChannel
from parsl.launchers import AprunLauncher
from parsl.providers import TorqueProvider

from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.executors.ipp_controller import Controller


# This is an example config, make sure to
#        replace the specific values below with the literal values
#          (e.g., 'USERNAME' -> 'your_username')

config = Config(
    executors=[
        IPyParallelExecutor(
            label='swan_ipp',
            workers_per_node=2,
            provider=TorqueProvider(
                channel=SSHChannel(
                    hostname='swan.cray.com',
                    username='USERNAME',     # Please replace USERNAME with your username
                    script_dir='/home/users/USERNAME/parsl_scripts',    # Please replace USERNAME with your username
                ),
                nodes_per_block=2,
                init_blocks=1,
                max_blocks=1,
                launcher=AprunLauncher(),
                scheduler_options='',     # Input your scheduler_options if needed
                worker_init='',     # Input your worker_init if needed

from parsl.channels import SSHChannel
from parsl.providers import SlurmProvider
from parsl.launchers import SrunLauncher

from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.executors.ipp_controller import Controller

# This is an example config, make sure to
#        replace the specific values below with the literal values
#          (e.g., 'USERNAME' -> 'your_username')

config = Config(
    executors=[
        IPyParallelExecutor(
            label='midway_ipp_multinode',
            provider=SlurmProvider(
                'westmere',
                channel=SSHChannel(
                    hostname='swift.rcc.uchicago.edu',
                    username='USERNAME',     # Please replace USERNAME with your username
                    script_dir='/scratch/midway2/USERNAME/parsl_scripts',    # Please replace USERNAME with your username
                ),
                launcher=SrunLauncher(),
                scheduler_options='',     # Input your scheduler_options if needed
                worker_init='',     # Input your worker_init if needed
                walltime="00:05:00",
                init_blocks=1,
                max_blocks=1,

from parsl.providers import AWSProvider
from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.executors.ipp_controller import Controller

# This is an example config, make sure to
#        replace the specific values below with the literal values
#          (e.g., 'USERNAME' -> 'your_username')

config = Config(
    executors=[
        IPyParallelExecutor(
            label='ec2_spot',
            provider=AWSProvider(
                'image_id',    # Please replace image_id with your image id, e.g., 'ami-82f4dae7'
                region='us-east-1',    # Please replace region with your region
                key_name='KEY',    # Please replace KEY with your key name
                profile="default",
                state_file='awsproviderstate.json',
                spot_max_bid='1.0',
                nodes_per_block=1,
                init_blocks=1,
                max_blocks=1,
                min_blocks=0,
                walltime='00:25:00',
            ),