Automatically created environment for python package
Project description
Project daskcheck
This should allow an easy use of dask.
Instalation
pip install daskcheck
Usage
from daskcheck import daskcheck
from fire import Fire
import time
import platform
import datetime as dt
import json
def main( parlist ):
parameters = daskcheck.prepare_params( parlist )
if type(parameters)==list:
print("i... viable for DASK ....")
daskcheck.submit( daskcheck.get_cpu_info , parameters)
else:
print("i... running only locally")
my_results = xcorefunc( 1 , parameters )
# Write LOG file.
now = dt.datetime.now()
stamp = now.strftime("%Y%m%d_%H%M%S")
with open(f"dask_results_log_{stamp}.json", "w") as fp:
json.dump( my_results , fp, sort_keys=True, indent='\t', separators=(',', ': '))
return
def xcorefunc( order, param):
"""
Function to be sent to dask server with order# + parameter
"""
import ROOT # I need to avoid breaking pickle
start_time = time.perf_counter()
return order, [platform.node(), f"{time.perf_counter() - start_time:.1f} s" , ni]
if __name__=="__main__":
Fire(main)
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