36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
import pandas as pd
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from functools import partial, reduce
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def state_identity(k):
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def identity(step, sL, s, _input):
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return (k, s[k])
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return identity
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def behavior_identity(k):
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def identity(step, sL, s):
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return 0
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return identity
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def key_filter(mechanisms, keyname):
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return [ v[keyname] for k, v in mechanisms.items() ]
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def fillna_with_id_func(identity, df, col):
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return df[[col]].fillna(value=identity(col))
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def apply_identity_funcs(identity, df, cols):
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return list(map(lambda col: fillna_with_id_func(identity, df, col), cols))
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def create_matrix_field(mechanisms, key):
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if key == 'states':
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identity = state_identity
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else:
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identity = behavior_identity
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df = pd.DataFrame(key_filter(mechanisms, key))
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col_list = apply_identity_funcs(identity, df, list(df.columns))
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return reduce((lambda x, y: pd.concat([x, y], axis=1)), col_list)
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def generate_config(mechanisms, env_poc):
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bdf = create_matrix_field(mechanisms,'behaviors')
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sdf = create_matrix_field(mechanisms,'states')
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zipped_list = list(zip(sdf.values.tolist(), bdf.values.tolist()))
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return list(map(lambda x: (x[0] + env_poc, x[1]), zipped_list)) |