67 lines
1.8 KiB
Markdown
67 lines
1.8 KiB
Markdown
# SimCad
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**Warning**:
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**Do not** publish this package / software to **any** software repository **except** one permited by BlockScience.
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**1. Install Dependencies:**
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```bash
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pip install -r requirements.txt
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pip install .
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```
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**2. Configure Simulation:**
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Example:
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`/simulations/validation/*`
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**3. Import SimCAD & Run Simulation:**
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Example:
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`/simulations/sim_test.py`
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```python
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import pandas as pd
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from tabulate import tabulate
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# The following imports NEED to be in the exact same order
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from SimCAD.engine import ExecutionMode, ExecutionContext, Executor
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from simulations.validation import config_1, config_2
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from SimCAD import configs
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# ToDo: pass ExecutionContext with execution method as ExecutionContext input
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exec_mode = ExecutionMode()
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print("Simulation Execution 1")
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print()
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first_config = [configs[0]] # from config1
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single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)
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run1 = Executor(exec_context=single_proc_ctx, configs=first_config)
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run1_raw_result, tensor_field = run1.main()
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result = pd.DataFrame(run1_raw_result)
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# result.to_csv('~/Projects/DiffyQ-SimCAD/results/config4.csv', sep=',')
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print()
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print("Tensor Field:")
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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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print("Simulation Execution 2: Pairwise Execution")
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print()
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multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
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run2 = Executor(exec_context=multi_proc_ctx, configs=configs)
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for raw_result, tensor_field in run2.main():
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result = pd.DataFrame(raw_result)
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print()
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print("Tensor Field:")
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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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```
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The above can be run in Jupyter.
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```bash
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jupyter notebook
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``` |