ciphercore-base 0.3.1

The base package of CipherCore: computation graphs API, Secure MPC Compiler, utilities for graph evaluation and inspection
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134

//! Regression tests for broadcasting in custom operations.
//! We don't test correctness, just that it doesn't crash.

#[cfg(test)]
mod tests {
    use ndarray::array;

    use crate::custom_ops::run_instantiation_pass;
    use crate::custom_ops::CustomOperation;
    use crate::custom_ops::CustomOperationBody;
    use crate::data_types::INT64;
    use crate::errors::Result;
    use crate::evaluators::random_evaluate;
    use crate::graphs::util::simple_context;
    use crate::ops::adder::BinaryAdd;
    use crate::ops::comparisons::{
        Equal, GreaterThan, GreaterThanEqualTo, LessThan, LessThanEqualTo, NotEqual,
    };
    use crate::ops::fixed_precision::fixed_multiply::FixedMultiply;
    use crate::ops::fixed_precision::fixed_precision_config::FixedPrecisionConfig;
    use crate::ops::goldschmidt_division::GoldschmidtDivision;
    use crate::ops::min_max::Max;
    use crate::ops::min_max::Min;
    use crate::typed_value::TypedValue;
    use crate::typed_value_operations::TypedValueArrayOperations;

    #[test]
    fn test_binary_custom_op_broadcast() -> Result<()> {
        // Broadcasting in custom operations that operate on two bitstrings.
        let values = vec![
            TypedValue::from_scalar(1, INT64)?,
            TypedValue::from_ndarray(array![1].into_dyn(), INT64)?,
            TypedValue::from_ndarray(array![1, 2, 3].into_dyn(), INT64)?,
            TypedValue::from_ndarray(array![[1, 2, 3], [4, 5, 6]].into_dyn(), INT64)?,
        ];
        for v1 in values.iter() {
            for v2 in values.iter() {
                binary_helper(
                    BinaryAdd {
                        overflow_bit: false,
                    },
                    v1.clone(),
                    v2.clone(),
                )?;
                binary_helper(Equal {}, v1.clone(), v2.clone())?;
                binary_helper(NotEqual {}, v1.clone(), v2.clone())?;
                macro_rules! comparison_op {
                    ($custom_op:ident) => {
                        binary_helper(
                            $custom_op {
                                signed_comparison: true,
                            },
                            v1.clone(),
                            v2.clone(),
                        )?;
                    };
                }
                comparison_op!(LessThan);
                comparison_op!(LessThanEqualTo);
                comparison_op!(GreaterThan);
                comparison_op!(GreaterThanEqualTo);
                comparison_op!(Min);
                comparison_op!(Max);
            }
        }
        Ok(())
    }

    fn binary_helper(
        operation: impl CustomOperationBody,
        arg1: TypedValue,
        arg2: TypedValue,
    ) -> Result<()> {
        let c = simple_context(|g| {
            let i1 = g.input(arg1.t)?;
            let i2 = g.input(arg2.t)?;
            let b1 = i1.a2b()?;
            let b2 = i2.a2b()?;
            g.custom_op(CustomOperation::new(operation), vec![b1, b2])
        })?;
        let c = run_instantiation_pass(c)?.context;
        random_evaluate(c.get_main_graph()?, vec![arg1.value, arg2.value])?;
        Ok(())
    }

    #[test]
    fn test_arithemtic_custom_op_broadcast() -> Result<()> {
        // Broadcasting in custom operations that operate on two numbers.
        let values = vec![
            TypedValue::from_scalar(1, INT64)?,
            TypedValue::from_ndarray(array![1].into_dyn(), INT64)?,
            TypedValue::from_ndarray(array![1, 2, 3].into_dyn(), INT64)?,
            TypedValue::from_ndarray(array![[1, 2, 3], [4, 5, 6]].into_dyn(), INT64)?,
        ];
        for v1 in values.iter() {
            for v2 in values.iter() {
                arithmetic_helper(
                    GoldschmidtDivision {
                        iterations: 5,
                        denominator_cap_2k: 15,
                    },
                    v1.clone(),
                    v2.clone(),
                )?;
                arithmetic_helper(
                    FixedMultiply {
                        config: FixedPrecisionConfig {
                            fractional_bits: 10,
                            debug: false,
                        },
                    },
                    v1.clone(),
                    v2.clone(),
                )?;
            }
        }
        Ok(())
    }

    fn arithmetic_helper(
        operation: impl CustomOperationBody,
        arg1: TypedValue,
        arg2: TypedValue,
    ) -> Result<()> {
        let c = simple_context(|g| {
            let i1 = g.input(arg1.t)?;
            let i2 = g.input(arg2.t)?;
            g.custom_op(CustomOperation::new(operation), vec![i1, i2])
        })?;
        let c = run_instantiation_pass(c)?.context;
        random_evaluate(c.get_main_graph()?, vec![arg1.value, arg2.value])?;
        Ok(())
    }
}