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Library for generating python-expressions

Project description

UnEval

UnEval is a microlibrary for generating python-expressions.

If you ever need to use eval, write macros or implement domain specific languages, this library provides a better way to generate python expressions than using strings. Strings can contain syntax errors, make it harder to deal with parentheses and aren't syntax highlighted. Expressions look and act a lot like pythoncode, except that they aren't evaluated immediately.

Installation

Make sure to install pip then run:

pip install uneval

Usage

Firstly, the building blocks can be used to generate expressions. Secondly, these expressions can be converted.

Examples

# Build expressions
x, y = quote.x, quote.y  # Shortcut for quote("x"), quote("y")
z = x*x + y*y
d = z.abs() + x.pow(3) - y.sin(x)

# Convert
print(z)  # x * x + y * y
print(ast.dump(to_ast(z)))  # BinOp(left=BinOp(left=Name(id='x', ctx=Load()), op=Mult(), right=Name(id='x', ctx=Load())), op=Add(), right=BinOp(left=Name(id='y', ctx=Load()), op=Mult(), right=Name(id='y', ctx=Load())))
print(eval(to_code(z), {"x": 3, "y": 4}))  # 25

This can be used when working in pandas and you want to use eval or query:

from uneval import quote as q

# No syntax highlighting. Syntax checkers won't catch errors.
df.eval("bmi = mass / height**2")

# With syntax highlighting. Syntax checkers can catch errors here.
df.eval(f"bmi = {q.mass / q.height**2}")

These blocks can even be used to create alternative syntax for lambda-functions:

from uneval import Expression, to_code, lambda_, quote

x = quote.x

def f_x(expr: Expression):
  """Create a lambda with parameter x."""
  return eval(to_code(lambda_([x], expr)))

square = f_x(x * x)  # Same as: `lambda x: x * x`
print(square(5))  # => 25

Building blocks

Factory AST-class Example Result
quote ast.Name quote('a') or quote.a (shortcut) a
if_ ast.IfExpr if_(quote.x >= 0, quote.x, -quote.x) x if x >= 0 else -x
for_ ast.GenExpr for_(quote.x ** 2, (quote.x, quote.range(5))) (x**2 for x in range(5))
lambda_ ast.Lambda lambda_([quote.x], quote.x * quote.x) lambda x: x * x
and_, or_ ast.BoolOp and_(quote.x >= 10, quote.x <= 15) x >= 10 and x <= 15
not_, in_ ast.Not(), ast.In() not_(in_(quote.x, {1, 2, 3})) not x in {1, 2, 3}

Converters

Converter Target Remark
str String Convert to readable python
to_ast AST-node Generate AST-node
to_code Code-object Compile the expression

Similar work

Libraries that implement something similar:

  • Macropy has quasiquote.
  • SymPy - Symbolic manipulation, but its representation is different from Python.
  • Polars - Writing col.x creates something like this Expression-object.

Other:

Useful references:

Project details


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