Skip to main content

StructLayoutToolkitCalc

A safe, deterministic expression evaluator for computing bit‑accurate offsets, sizes, and field values within StructLayoutToolkit.

Overview

sltcalc provides a safe and deterministic expression evaluator used across StructLayoutToolkit to compute bit‑accurate offsets, sizes, and derived field values. It parses expressions into Python’s AST and evaluates a restricted subset of operations, ensuring predictable behavior without accessing Python globals or executing arbitrary code. The evaluator supports arithmetic, bitwise operations, conditional expressions, and user‑defined variables supplied through an isolated environment. This module enables dynamic field definitions, computed offsets, variable‑length structures, and protocol‑specific formulas while maintaining strict safety and structural consistency.

Usage

Basic

from sltcalc import SltEval

evaluator = SltEval()
result = evaluator.eval("1 + 2 * 3")
print(result)  # 7

With variables

from sltcalc import SltEval

env = {
    "offset": 8,
    "width": 3,
    "flag": True,
}

evaluator = SltEval(env)

print(evaluator.eval("offset + width * 2"))       # 14
print(evaluator.eval("1 if flag else 0"))         # 1
print(evaluator.eval("99 if offset >= 8 else -1"))  # 99

Error behavior

from sltcalc import SltEval

evaluator = SltEval()

# NameError: undefined variable
evaluator.eval("unknown + 1")

# ValueError: unsafe function
evaluator.eval("sum(1, 2)")

Supported expressions

SltEval evaluates a restricted subset of Python expression AST nodes.

Literals

  • Numeric constants (for example: 0, 42, 3.5)
  • Boolean constants (True, False)
  • List literals (for example: [1, 2, 3])
  • Tuple literals (for example: (1, 2, 3))
  • Dict literals (for example: {"a": 1, "b": 2})

Variables

  • Variable lookup from the evaluator environment (SltEval(env))
  • Attribute access on environment values (for example: obj.value)

Binary operators

  • Arithmetic: +, -, *, /, //, %, **
  • Bitwise: &, |, ^, <<, >>

Unary operators

  • Unary plus: +x
  • Unary minus: -x
  • Boolean negation: not x

Boolean operators

  • and
  • or

Comparisons

  • ==, !=, <, <=, >, >=, is, is not, in, not in
  • Chained comparisons are supported (for example: 1 < 2 < 3)

Conditional expression

  • Ternary expression: a if condition else b

Attribute and subscript access

  • Index/key access (for example: arr[0], mapping["key"])
  • Attribute access is supported (for example: obj.value)
  • Nested access is supported (for example: access key "items" and then index 0)

Function calls

  • Built-in allowlist: abs(...), all(...), any(...), len(...), min(...), max(...), round(...), sorted(...), sum(...)
  • Callables passed through environment are allowed (for example: SltEval({"triple": triple}) then triple(4))

Not supported

  • Set literals in expressions
  • Non-name call targets (for example: (lambda x: x)(1))

Unsupported constructs raise ValueError with an Unsupported expression message.

Metadata

Release files for sltcalc 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sltcalc 1.0.0
File Size Uploaded
sltcalc-1.0.0.tar.gz 10.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sltcalc 1.0.0
File Interpreter ABI Platform
sltcalc-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 15.3 kB

Release files / sltcalc-1.0.0.tar.gz

Download URL sltcalc-1.0.0.tar.gz
Size 10.5 kB
Tags Source
SHA-256 checksum
How to use checksums
968053bbecc85c30caf5ddfd48962e409c7844ccfc441418d029a4f743030350
BLAKE2b-256 checksum
How to use checksums
b50119db81d0e1f1330ab884abf282569b3f05ffe1f2c7b8aff910125295d4be
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / sltcalc-1.0.0-py3-none-any.whl

Download URL sltcalc-1.0.0-py3-none-any.whl
Size 4.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
12531fef9633b25e6743c4a41873971c83dffb763590f42e2f1f78accea08088
BLAKE2b-256 checksum
How to use checksums
da776d03b5c160ffe42bee2fdabdd46521033794fb02e8975b4da7a1f1c641de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release history Release notifications | RSS feed

1.2.0

2 release files

1.1.2

2 release files

1.1.1

2 release files

1.1.0

2 release files

This release

1.0.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page