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					@ -57,8 +57,10 @@ class deid :
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					        This function will perform experimentation by performing a random policies (combinations of attributes)
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					        This function will perform experimentation by performing a random policies (combinations of attributes)
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					        This function is intended to explore a variety of policies and evaluate their associated risk.
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					        This function is intended to explore a variety of policies and evaluate their associated risk.
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					        @param pop|sample   data-frame with popublation reference
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					        :pop|sample     data-frame with population or sample reference
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					        @param id       key field that uniquely identifies patient/customer ...
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					        :field_count    number of fields to randomly select
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					        :strict         if set the field_count is exact otherwise field_count is range from 2-field_count
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					        :num_runs       number of runs (by default 5)
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					        """
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					        """
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					        pop= args['pop'] if 'pop' in args else None
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					        pop= args['pop'] if 'pop' in args else None
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					@ -85,7 +87,7 @@ class deid :
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					        o = pd.DataFrame()
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					        o = pd.DataFrame()
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					        for i in np.arange(RUNS):
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					        for i in np.arange(RUNS):
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					            if 'strict' not in args :
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					            if 'strict' not in args or ('strict' in args and args['strict'] is False):
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					                n = np.random.randint(2,k)
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					                n = np.random.randint(2,k)
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					            else:
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					            else:
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					                n = args['field_count']
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					                n = args['field_count']
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