31 lines
986 B
Python
31 lines
986 B
Python
from pprint import pprint
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import pandas as pd
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from tabulate import tabulate
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from simulations.distributed.spark.session import spark_context as sc
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from simulations.regression_tests import config1, config2
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from cadCAD.engine import ExecutionMode, ExecutionContext, Executor
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from cadCAD.utils import arrange_cols
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from cadCAD import configs
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exec_mode = ExecutionMode()
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print("Simulation Execution: Distributed Execution")
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dist_proc_ctx = ExecutionContext(context=exec_mode.dist_proc)
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run = Executor(exec_context=dist_proc_ctx, configs=configs, spark_context=sc)
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# pprint(dist_proc_ctx)
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# print(configs)
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i = 0
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config_names = ['config1', 'config2']
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for raw_result, tensor_field in run.execute():
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result = arrange_cols(pd.DataFrame(raw_result), False)
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print()
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# print(f"Tensor Field: {config_names[i]}")
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print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
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print("Output:")
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print(tabulate(result, headers='keys', tablefmt='psql'))
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print()
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i += 1 |