2023-12-09 16:56:04 +00:00
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import sys
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2023-11-13 13:45:51 +00:00
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from dataclasses import dataclass
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from typing import Generic
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2023-12-09 16:56:04 +00:00
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from typing import TypeVar, Callable
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2023-11-13 13:45:51 +00:00
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from nltk import edit_distance
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2023-12-09 16:56:04 +00:00
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distances_true: dict[int, int] = {}
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distances_false: dict[int, int] = {}
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2023-11-13 13:45:51 +00:00
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T = TypeVar('T')
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U = TypeVar('U')
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@dataclass
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class CmpOp(Generic[T]):
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operator: str
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name: str
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test: Callable[[T, T], bool]
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true_dist: Callable[[T, T], int]
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false_dist: Callable[[T, T], int]
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def __init__(self, operator: str, name: str, test: Callable[[T, T], bool], true_dist: Callable[[T, T], int],
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false_dist: Callable[[T, T], int]):
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self.operator = operator
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self.name = name
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self.test = test
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self.true_dist = true_dist
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self.false_dist = false_dist
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# Operands for these must both be integers or strings of length 1
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int_str_ops: list[CmpOp[int | str]] = [
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CmpOp(operator='<',
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name='Lt',
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test=lambda lhs, rhs: lhs < rhs,
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true_dist=lambda lhs, rhs: lhs - rhs + 1 if lhs >= rhs else 0,
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false_dist=lambda lhs, rhs: rhs - lhs if lhs < rhs else 0),
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CmpOp(operator='>',
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name='Gt',
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test=lambda lhs, rhs: lhs > rhs,
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true_dist=lambda lhs, rhs: rhs - lhs + 1 if lhs <= rhs else 0,
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false_dist=lambda lhs, rhs: lhs - rhs if lhs > rhs else 0),
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CmpOp(operator='<=',
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name='LtE',
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test=lambda lhs, rhs: lhs <= rhs,
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true_dist=lambda lhs, rhs: lhs - rhs if lhs > rhs else 0,
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false_dist=lambda lhs, rhs: rhs - lhs + 1 if lhs <= rhs else 0),
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CmpOp(operator='>=',
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name='GtE',
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test=lambda lhs, rhs: lhs >= rhs,
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true_dist=lambda lhs, rhs: rhs - lhs if lhs < rhs else 0,
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false_dist=lambda lhs, rhs: lhs - rhs + 1 if lhs >= rhs else 0),
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CmpOp(operator='==',
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name='Eq',
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test=lambda lhs, rhs: lhs == rhs,
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true_dist=lambda lhs, rhs: abs(lhs - rhs),
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false_dist=lambda lhs, rhs: 1 if lhs == rhs else 0),
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CmpOp(operator='!=',
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name='NotEq',
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test=lambda lhs, rhs: lhs == rhs,
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true_dist=lambda lhs, rhs: 1 if lhs == rhs else 0,
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false_dist=lambda lhs, rhs: abs(lhs - rhs)),
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]
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int_str_by_name: dict[str, CmpOp[int | str]] = {c.name: c for c in int_str_ops}
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def int_str_check(a: any, b: any) -> bool:
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if type(a) == int and type(b) == int:
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return True
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if type(a) != str or type(b) != str:
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return False
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2023-11-15 12:32:08 +00:00
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return len(a) == 1 and len(b) == 1
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def int_str_convert(x: int | str) -> int:
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if type(x) == int:
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return x
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if len(x) == 1:
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return ord(x)
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raise ValueError("x must be int or len(str) == 1")
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# Operands for these must both be strings
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str_ops: list[CmpOp[str]] = [
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CmpOp(operator='==',
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name='Eq',
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test=lambda lhs, rhs: lhs == rhs,
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true_dist=lambda lhs, rhs: edit_distance(lhs, rhs),
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false_dist=lambda lhs, rhs: 1 if lhs == rhs else 0),
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CmpOp(operator='!=',
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name='NotEq',
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test=lambda lhs, rhs: lhs == rhs,
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true_dist=lambda lhs, rhs: 1 if lhs == rhs else 0,
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false_dist=lambda lhs, rhs: edit_distance(lhs, rhs)),
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]
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str_by_name: dict[str, CmpOp[int | str]] = {c.name: c for c in str_ops}
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def str_check(a: any, b: any) -> bool:
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return type(a) == str and type(b) == str
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def compute_distances(name: str, lhs: any, rhs: any) -> tuple[int, int, bool]:
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if int_str_check(lhs, rhs):
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lhs_int = int_str_convert(lhs)
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rhs_int = int_str_convert(rhs)
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if name not in int_str_by_name:
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raise ValueError(f"'{name}' is not a valid CmpOp name for 'int_str' operators")
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op = int_str_by_name[name]
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return op.true_dist(lhs_int, rhs_int), op.false_dist(lhs_int, rhs_int), op.test(lhs_int, rhs_int)
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if str_check(lhs, rhs):
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if name not in str_by_name:
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raise ValueError(f"'{name}' is not a valid CmpOp name for 'str' operators")
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2023-11-15 12:32:08 +00:00
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op = str_by_name[name]
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return op.true_dist(lhs, rhs), op.false_dist(lhs, rhs), op.test(lhs, rhs)
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2023-11-13 13:45:51 +00:00
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raise ValueError(f"'{lhs}' and '{rhs}' are not suitable for both 'int_str' and 'str' operators")
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def update_map(the_map: dict[int, int], condition_num: int, distance: int):
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if condition_num in the_map.keys():
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the_map[condition_num] = min(the_map[condition_num], distance)
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else:
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the_map[condition_num] = distance
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def update_maps(condition_num, d_true, d_false):
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global distances_true, distances_false
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update_map(distances_true, condition_num, d_true)
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update_map(distances_false, condition_num, d_false)
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def in_op(num, lhs, rhs):
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if isinstance(lhs, str):
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lhs = ord(lhs)
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minimum = sys.maxsize
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for elem in rhs.keys():
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distance = abs(lhs - ord(elem))
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if distance < minimum:
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minimum = distance
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distance_true, distance_false = minimum, 1 if minimum == 0 else 0
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update_maps(num, distance_true, distance_false)
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return distance_true == 0 # distance == 0 equivalent to actual test by construction
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def evaluate_condition(num, op, lhs, rhs):
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if op == "In":
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return in_op(num, lhs, rhs)
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distance_true, distance_false, test = compute_distances(op, lhs, rhs)
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update_maps(num, distance_true, distance_false)
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return test
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