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catchable defects (#13626)
* allow defects to be caught even for --exceptions:goto (WIP) * implemented the new --panics:on|off switch; refs https://github.com/nim-lang/RFCs/issues/180 * new implementation for integer overflow checking * produce a warning if a user-defined exception type inherits from Exception directly * applied Timothee's suggestions; improved the documentation and replace the term 'checked runtime check' by 'panic' * fixes #13627 * don't inherit from Exception directly
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132
lib/system/integerops.nim
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132
lib/system/integerops.nim
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#
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#
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# Nim's Runtime Library
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# (c) Copyright 2020 Andreas Rumpf
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#
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# See the file "copying.txt", included in this
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# distribution, for details about the copyright.
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#
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# Integer arithmetic with overflow checking. Uses
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# intrinsics or inline assembler.
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proc raiseOverflow {.compilerproc, noinline.} =
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# a single proc to reduce code size to a minimum
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sysFatal(OverflowError, "over- or underflow")
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proc raiseDivByZero {.compilerproc, noinline.} =
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sysFatal(DivByZeroError, "division by zero")
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{.pragma: nimbaseH, importc, nodecl, noSideEffect, compilerproc.}
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when defined(gcc) or defined(clang):
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# take the #define from nimbase.h
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proc nimAddInt(a, b: int, res: ptr int): bool {.nimbaseH.}
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proc nimSubInt(a, b: int, res: ptr int): bool {.nimbaseH.}
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proc nimMulInt(a, b: int, res: ptr int): bool {.nimbaseH.}
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proc nimAddInt64(a, b: int64; res: ptr int64): bool {.nimbaseH.}
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proc nimSubInt64(a, b: int64; res: ptr int64): bool {.nimbaseH.}
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proc nimMulInt64(a, b: int64; res: ptr int64): bool {.nimbaseH.}
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# unary minus and 'abs' not required here anymore and are directly handled
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# in the code generator.
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# 'nimModInt' does exist in nimbase.h without check as we moved the
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# check for 0 to the codgen.
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proc nimModInt(a, b: int; res: ptr int): bool {.nimbaseH.}
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proc nimModInt64(a, b: int64; res: ptr int64): bool {.nimbaseH.}
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# Platform independent versions.
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template addImplFallback(name, T, U) {.dirty.} =
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when not declared(name):
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proc name(a, b: T; res: ptr T): bool {.compilerproc, inline.} =
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let r = cast[T](cast[U](a) + cast[U](b))
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if (r xor a) >= T(0) or (r xor b) >= T(0):
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res[] = r
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else:
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result = true
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addImplFallback(nimAddInt, int, uint)
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addImplFallback(nimAddInt64, int64, uint64)
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template subImplFallback(name, T, U) {.dirty.} =
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when not declared(name):
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proc name(a, b: T; res: ptr T): bool {.compilerproc, inline.} =
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let r = cast[T](cast[U](a) - cast[U](b))
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if (r xor a) >= 0 or (r xor not b) >= 0:
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res[] = r
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else:
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result = true
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subImplFallback(nimSubInt, int, uint)
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subImplFallback(nimSubInt64, int64, uint64)
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template mulImplFallback(name, T, U, conv) {.dirty.} =
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#
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# This code has been inspired by Python's source code.
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# The native int product x*y is either exactly right or *way* off, being
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# just the last n bits of the true product, where n is the number of bits
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# in an int (the delivered product is the true product plus i*2**n for
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# some integer i).
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#
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# The native float64 product x*y is subject to three
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# rounding errors: on a sizeof(int)==8 box, each cast to double can lose
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# info, and even on a sizeof(int)==4 box, the multiplication can lose info.
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# But, unlike the native int product, it's not in *range* trouble: even
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# if sizeof(int)==32 (256-bit ints), the product easily fits in the
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# dynamic range of a float64. So the leading 50 (or so) bits of the float64
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# product are correct.
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#
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# We check these two ways against each other, and declare victory if
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# they're approximately the same. Else, because the native int product is
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# the only one that can lose catastrophic amounts of information, it's the
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# native int product that must have overflowed.
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#
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when not declared(name):
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proc name(a, b: T; res: ptr T): bool {.compilerproc, inline.} =
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let r = cast[T](cast[U](a) * cast[U](b))
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let floatProd = conv(a) * conv(b)
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let resAsFloat = conv(r)
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# Fast path for normal case: small multiplicands, and no info
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# is lost in either method.
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if resAsFloat == floatProd:
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res[] = r
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else:
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# Somebody somewhere lost info. Close enough, or way off? Note
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# that a != 0 and b != 0 (else resAsFloat == floatProd == 0).
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# The difference either is or isn't significant compared to the
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# true value (of which floatProd is a good approximation).
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# abs(diff)/abs(prod) <= 1/32 iff
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# 32 * abs(diff) <= abs(prod) -- 5 good bits is "close enough"
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if 32.0 * abs(resAsFloat - floatProd) <= abs(floatProd):
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res[] = r
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else:
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result = true
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mulImplFallback(nimMulInt, int, uint, toFloat)
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mulImplFallback(nimMulInt64, int64, uint64, toBiggestFloat)
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template divImplFallback(name, T) {.dirty.} =
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proc name(a, b: T; res: ptr T): bool {.compilerproc, inline.} =
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# we moved the b == 0 case out into the codegen.
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if a == low(T) and b == T(-1):
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result = true
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else:
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res[] = a div b
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divImplFallback(nimDivInt, int)
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divImplFallback(nimDivInt64, int64)
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proc raiseFloatInvalidOp {.compilerproc, noinline.} =
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sysFatal(FloatInvalidOpError, "FPU operation caused a NaN result")
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proc raiseFloatOverflow(x: float64) {.compilerproc, noinline.} =
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if x > 0.0:
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sysFatal(FloatOverflowError, "FPU operation caused an overflow")
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else:
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sysFatal(FloatUnderflowError, "FPU operations caused an underflow")
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