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-rw-r--r--scripts/mbedtls_dev/bignum_common.py406
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diff --git a/scripts/mbedtls_dev/bignum_common.py b/scripts/mbedtls_dev/bignum_common.py
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-"""Common features for bignum in test generation framework."""
-# Copyright The Mbed TLS Contributors
-# SPDX-License-Identifier: Apache-2.0 OR GPL-2.0-or-later
-#
-
-from abc import abstractmethod
-import enum
-from typing import Iterator, List, Tuple, TypeVar, Any
-from copy import deepcopy
-from itertools import chain
-from math import ceil
-
-from . import test_case
-from . import test_data_generation
-from .bignum_data import INPUTS_DEFAULT, MODULI_DEFAULT
-
-T = TypeVar('T') #pylint: disable=invalid-name
-
-def invmod(a: int, n: int) -> int:
- """Return inverse of a to modulo n.
-
- Equivalent to pow(a, -1, n) in Python 3.8+. Implementation is equivalent
- to long_invmod() in CPython.
- """
- b, c = 1, 0
- while n:
- q, r = divmod(a, n)
- a, b, c, n = n, c, b - q*c, r
- # at this point a is the gcd of the original inputs
- if a == 1:
- return b
- raise ValueError("Not invertible")
-
-def invmod_positive(a: int, n: int) -> int:
- """Return a non-negative inverse of a to modulo n."""
- inv = invmod(a, n)
- return inv if inv >= 0 else inv + n
-
-def hex_to_int(val: str) -> int:
- """Implement the syntax accepted by mbedtls_test_read_mpi().
-
- This is a superset of what is accepted by mbedtls_test_read_mpi_core().
- """
- if val in ['', '-']:
- return 0
- return int(val, 16)
-
-def quote_str(val: str) -> str:
- return "\"{}\"".format(val)
-
-def bound_mpi(val: int, bits_in_limb: int) -> int:
- """First number exceeding number of limbs needed for given input value."""
- return bound_mpi_limbs(limbs_mpi(val, bits_in_limb), bits_in_limb)
-
-def bound_mpi_limbs(limbs: int, bits_in_limb: int) -> int:
- """First number exceeding maximum of given number of limbs."""
- bits = bits_in_limb * limbs
- return 1 << bits
-
-def limbs_mpi(val: int, bits_in_limb: int) -> int:
- """Return the number of limbs required to store value."""
- bit_length = max(val.bit_length(), 1)
- return (bit_length + bits_in_limb - 1) // bits_in_limb
-
-def combination_pairs(values: List[T]) -> List[Tuple[T, T]]:
- """Return all pair combinations from input values."""
- return [(x, y) for x in values for y in values]
-
-def bits_to_limbs(bits: int, bits_in_limb: int) -> int:
- """ Return the appropriate ammount of limbs needed to store
- a number contained in input bits"""
- return ceil(bits / bits_in_limb)
-
-def hex_digits_for_limb(limbs: int, bits_in_limb: int) -> int:
- """ Return the hex digits need for a number of limbs. """
- return 2 * ((limbs * bits_in_limb) // 8)
-
-def hex_digits_max_int(val: str, bits_in_limb: int) -> int:
- """ Return the first number exceeding maximum the limb space
- required to store the input hex-string value. This method
- weights on the input str_len rather than numerical value
- and works with zero-padded inputs"""
- n = ((1 << (len(val) * 4)) - 1)
- l = limbs_mpi(n, bits_in_limb)
- return bound_mpi_limbs(l, bits_in_limb)
-
-def zfill_match(reference: str, target: str) -> str:
- """ Zero pad target hex-string to match the limb size of
- the reference input """
- lt = len(target)
- lr = len(reference)
- target_len = lr if lt < lr else lt
- return "{:x}".format(int(target, 16)).zfill(target_len)
-
-class OperationCommon(test_data_generation.BaseTest):
- """Common features for bignum binary operations.
-
- This adds functionality common in binary operation tests.
-
- Attributes:
- symbol: Symbol to use for the operation in case description.
- input_values: List of values to use as test case inputs. These are
- combined to produce pairs of values.
- input_cases: List of tuples containing pairs of test case inputs. This
- can be used to implement specific pairs of inputs.
- unique_combinations_only: Boolean to select if test case combinations
- must be unique. If True, only A,B or B,A would be included as a test
- case. If False, both A,B and B,A would be included.
- input_style: Controls the way how test data is passed to the functions
- in the generated test cases. "variable" passes them as they are
- defined in the python source. "arch_split" pads the values with
- zeroes depending on the architecture/limb size. If this is set,
- test cases are generated for all architectures.
- arity: the number of operands for the operation. Currently supported
- values are 1 and 2.
- """
- symbol = ""
- input_values = INPUTS_DEFAULT # type: List[str]
- input_cases = [] # type: List[Any]
- dependencies = [] # type: List[Any]
- unique_combinations_only = False
- input_styles = ["variable", "fixed", "arch_split"] # type: List[str]
- input_style = "variable" # type: str
- limb_sizes = [32, 64] # type: List[int]
- arities = [1, 2]
- arity = 2
- suffix = False # for arity = 1, symbol can be prefix (default) or suffix
-
- def __init__(self, val_a: str, val_b: str = "0", bits_in_limb: int = 32) -> None:
- self.val_a = val_a
- self.val_b = val_b
- # Setting the int versions here as opposed to making them @properties
- # provides earlier/more robust input validation.
- self.int_a = hex_to_int(val_a)
- self.int_b = hex_to_int(val_b)
- self.dependencies = deepcopy(self.dependencies)
- if bits_in_limb not in self.limb_sizes:
- raise ValueError("Invalid number of bits in limb!")
- if self.input_style == "arch_split":
- self.dependencies.append("MBEDTLS_HAVE_INT{:d}".format(bits_in_limb))
- self.bits_in_limb = bits_in_limb
-
- @property
- def boundary(self) -> int:
- if self.arity == 1:
- return self.int_a
- elif self.arity == 2:
- return max(self.int_a, self.int_b)
- raise ValueError("Unsupported number of operands!")
-
- @property
- def limb_boundary(self) -> int:
- return bound_mpi(self.boundary, self.bits_in_limb)
-
- @property
- def limbs(self) -> int:
- return limbs_mpi(self.boundary, self.bits_in_limb)
-
- @property
- def hex_digits(self) -> int:
- return hex_digits_for_limb(self.limbs, self.bits_in_limb)
-
- def format_arg(self, val: str) -> str:
- if self.input_style not in self.input_styles:
- raise ValueError("Unknown input style!")
- if self.input_style == "variable":
- return val
- else:
- return val.zfill(self.hex_digits)
-
- def format_result(self, res: int) -> str:
- res_str = '{:x}'.format(res)
- return quote_str(self.format_arg(res_str))
-
- @property
- def arg_a(self) -> str:
- return self.format_arg(self.val_a)
-
- @property
- def arg_b(self) -> str:
- if self.arity == 1:
- raise AttributeError("Operation is unary and doesn't have arg_b!")
- return self.format_arg(self.val_b)
-
- def arguments(self) -> List[str]:
- args = [quote_str(self.arg_a)]
- if self.arity == 2:
- args.append(quote_str(self.arg_b))
- return args + self.result()
-
- def description(self) -> str:
- """Generate a description for the test case.
-
- If not set, case_description uses the form A `symbol` B, where symbol
- is used to represent the operation. Descriptions of each value are
- generated to provide some context to the test case.
- """
- if not self.case_description:
- if self.arity == 1:
- format_string = "{1:x} {0}" if self.suffix else "{0} {1:x}"
- self.case_description = format_string.format(
- self.symbol, self.int_a
- )
- elif self.arity == 2:
- self.case_description = "{:x} {} {:x}".format(
- self.int_a, self.symbol, self.int_b
- )
- return super().description()
-
- @property
- def is_valid(self) -> bool:
- return True
-
- @abstractmethod
- def result(self) -> List[str]:
- """Get the result of the operation.
-
- This could be calculated during initialization and stored as `_result`
- and then returned, or calculated when the method is called.
- """
- raise NotImplementedError
-
- @classmethod
- def get_value_pairs(cls) -> Iterator[Tuple[str, str]]:
- """Generator to yield pairs of inputs.
-
- Combinations are first generated from all input values, and then
- specific cases provided.
- """
- if cls.arity == 1:
- yield from ((a, "0") for a in cls.input_values)
- elif cls.arity == 2:
- if cls.unique_combinations_only:
- yield from combination_pairs(cls.input_values)
- else:
- yield from (
- (a, b)
- for a in cls.input_values
- for b in cls.input_values
- )
- else:
- raise ValueError("Unsupported number of operands!")
-
- @classmethod
- def generate_function_tests(cls) -> Iterator[test_case.TestCase]:
- if cls.input_style not in cls.input_styles:
- raise ValueError("Unknown input style!")
- if cls.arity not in cls.arities:
- raise ValueError("Unsupported number of operands!")
- if cls.input_style == "arch_split":
- test_objects = (cls(a, b, bits_in_limb=bil)
- for a, b in cls.get_value_pairs()
- for bil in cls.limb_sizes)
- special_cases = (cls(*args, bits_in_limb=bil) # type: ignore
- for args in cls.input_cases
- for bil in cls.limb_sizes)
- else:
- test_objects = (cls(a, b)
- for a, b in cls.get_value_pairs())
- special_cases = (cls(*args) for args in cls.input_cases)
- yield from (valid_test_object.create_test_case()
- for valid_test_object in filter(
- lambda test_object: test_object.is_valid,
- chain(test_objects, special_cases)
- )
- )
-
-
-class ModulusRepresentation(enum.Enum):
- """Representation selector of a modulus."""
- # Numerical values aligned with the type mbedtls_mpi_mod_rep_selector
- INVALID = 0
- MONTGOMERY = 2
- OPT_RED = 3
-
- def symbol(self) -> str:
- """The C symbol for this representation selector."""
- return 'MBEDTLS_MPI_MOD_REP_' + self.name
-
- @classmethod
- def supported_representations(cls) -> List['ModulusRepresentation']:
- """Return all representations that are supported in positive test cases."""
- return [cls.MONTGOMERY, cls.OPT_RED]
-
-
-class ModOperationCommon(OperationCommon):
- #pylint: disable=abstract-method
- """Target for bignum mod_raw test case generation."""
- moduli = MODULI_DEFAULT # type: List[str]
- montgomery_form_a = False
- disallow_zero_a = False
-
- def __init__(self, val_n: str, val_a: str, val_b: str = "0",
- bits_in_limb: int = 64) -> None:
- super().__init__(val_a=val_a, val_b=val_b, bits_in_limb=bits_in_limb)
- self.val_n = val_n
- # Setting the int versions here as opposed to making them @properties
- # provides earlier/more robust input validation.
- self.int_n = hex_to_int(val_n)
-
- def to_montgomery(self, val: int) -> int:
- return (val * self.r) % self.int_n
-
- def from_montgomery(self, val: int) -> int:
- return (val * self.r_inv) % self.int_n
-
- def convert_from_canonical(self, canonical: int,
- rep: ModulusRepresentation) -> int:
- """Convert values from canonical representation to the given representation."""
- if rep is ModulusRepresentation.MONTGOMERY:
- return self.to_montgomery(canonical)
- elif rep is ModulusRepresentation.OPT_RED:
- return canonical
- else:
- raise ValueError('Modulus representation not supported: {}'
- .format(rep.name))
-
- @property
- def boundary(self) -> int:
- return self.int_n
-
- @property
- def arg_a(self) -> str:
- if self.montgomery_form_a:
- value_a = self.to_montgomery(self.int_a)
- else:
- value_a = self.int_a
- return self.format_arg('{:x}'.format(value_a))
-
- @property
- def arg_n(self) -> str:
- return self.format_arg(self.val_n)
-
- def format_arg(self, val: str) -> str:
- return super().format_arg(val).zfill(self.hex_digits)
-
- def arguments(self) -> List[str]:
- return [quote_str(self.arg_n)] + super().arguments()
-
- @property
- def r(self) -> int: # pylint: disable=invalid-name
- l = limbs_mpi(self.int_n, self.bits_in_limb)
- return bound_mpi_limbs(l, self.bits_in_limb)
-
- @property
- def r_inv(self) -> int:
- return invmod(self.r, self.int_n)
-
- @property
- def r2(self) -> int: # pylint: disable=invalid-name
- return pow(self.r, 2)
-
- @property
- def is_valid(self) -> bool:
- if self.int_a >= self.int_n:
- return False
- if self.disallow_zero_a and self.int_a == 0:
- return False
- if self.arity == 2 and self.int_b >= self.int_n:
- return False
- return True
-
- def description(self) -> str:
- """Generate a description for the test case.
-
- It uses the form A `symbol` B mod N, where symbol is used to represent
- the operation.
- """
-
- if not self.case_description:
- return super().description() + " mod {:x}".format(self.int_n)
- return super().description()
-
- @classmethod
- def input_cases_args(cls) -> Iterator[Tuple[Any, Any, Any]]:
- if cls.arity == 1:
- yield from ((n, a, "0") for a, n in cls.input_cases)
- elif cls.arity == 2:
- yield from ((n, a, b) for a, b, n in cls.input_cases)
- else:
- raise ValueError("Unsupported number of operands!")
-
- @classmethod
- def generate_function_tests(cls) -> Iterator[test_case.TestCase]:
- if cls.input_style not in cls.input_styles:
- raise ValueError("Unknown input style!")
- if cls.arity not in cls.arities:
- raise ValueError("Unsupported number of operands!")
- if cls.input_style == "arch_split":
- test_objects = (cls(n, a, b, bits_in_limb=bil)
- for n in cls.moduli
- for a, b in cls.get_value_pairs()
- for bil in cls.limb_sizes)
- special_cases = (cls(*args, bits_in_limb=bil)
- for args in cls.input_cases_args()
- for bil in cls.limb_sizes)
- else:
- test_objects = (cls(n, a, b)
- for n in cls.moduli
- for a, b in cls.get_value_pairs())
- special_cases = (cls(*args) for args in cls.input_cases_args())
- yield from (valid_test_object.create_test_case()
- for valid_test_object in filter(
- lambda test_object: test_object.is_valid,
- chain(test_objects, special_cases)
- ))