jeffemmett
/
cadCAD
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

changed jupyter file

This commit is contained in:
Joshua E. Jodesty 2019-02-18 12:32:47 -05:00
parent fe730c3e6c
commit d04e2bb7e4
1 changed files with 25 additions and 25 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

50
simulations/example_run.py
View File

@ -2,33 +2,33 @@ import pandas as pd
from tabulate import tabulate from tabulate import tabulate
# The following imports NEED to be in the exact order # The following imports NEED to be in the exact order
from cadCAD.engine import ExecutionMode, ExecutionContext, Executor from cadCAD.engine import ExecutionMode, ExecutionContext, Executor
from simulations.validation import config4 #sweep_config, config1, config2 from simulations.validation import sweep_config, config1, config2
from cadCAD import configs from cadCAD import configs
exec_mode = ExecutionMode() exec_mode = ExecutionMode()
print("Simulation Execution 1") # print("Simulation Execution 1")
print() # print()
first_config = [configs[0]] # from config1 # first_config = [configs[0]] # from config1
single_proc_ctx = ExecutionContext(context=exec_mode.single_proc) # single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)
run1 = Executor(exec_context=single_proc_ctx, configs=first_config) # run1 = Executor(exec_context=single_proc_ctx, configs=first_config)
run1_raw_result, tensor_field = run1.main() # run1_raw_result, tensor_field = run1.main()
result = pd.DataFrame(run1_raw_result) # result = pd.DataFrame(run1_raw_result)
print() # print()
print("Tensor Field:") # print("Tensor Field:")
print(tabulate(tensor_field, headers='keys', tablefmt='psql')) # print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
print("Output:") # print("Output:")
print(tabulate(result, headers='keys', tablefmt='psql')) # print(tabulate(result, headers='keys', tablefmt='psql'))
print() # print()
# print("Simulation Execution 2: Concurrent Execution") print("Simulation Execution 2: Concurrent Execution")
# multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc) multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
# run2 = Executor(exec_context=multi_proc_ctx, configs=configs) run2 = Executor(exec_context=multi_proc_ctx, configs=configs)
# for raw_result, tensor_field in run2.main(): for raw_result, tensor_field in run2.main():
# result = pd.DataFrame(raw_result) result = pd.DataFrame(raw_result)
# print() print()
# print("Tensor Field:") print("Tensor Field:")
# print(tabulate(tensor_field, headers='keys', tablefmt='psql')) print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
# print("Output:") print("Output:")
# print(tabulate(result, headers='keys', tablefmt='psql')) print(tabulate(result, headers='keys', tablefmt='psql'))
# print() print()