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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

# 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}")

Expressions can also be converted to λ-functions:

from uneval import F, quote

x, y = quote.x, quote.y

hello = F("Hello World!")
hello()  # => "Hello World!"

plus1 = F.x(x + 1)
plus1(4)  # => 5

multiply = F.xy(x * y)
multiply(5, 7)  # => 35

Building blocks

from uneval import quote as q
Factory Example Result
quote q('a') or q.a (shortcut) a
if_ if_(q.x >= 0, q.x, -q.x) x if x >= 0 else -x
for_ for_(q.x**2, (q.x, q.range(5))) (x**2 for x in range(5))
lambda_ lambda_([q.x], q.x * q.x) lambda x: x * x
and_, or_ and_(q.x >= 10, q.x <= 15) x >= 10 and x <= 15
not_, in_ not_(in_(q.x, {1, 2, 3})) not x in {1, 2, 3}
fstr, fmt fstr("sin(", q.a, ") is ", fmt(q.sin(q.a), ".3")) f'sin({a}) is {sin(a):.3}'

Converters

Converter Target Remark
str String Convert to readable python
to_ast AST-node Convert to AST-node
to_code Code-object Compile the expression
F.parameters Function Create a λ-function

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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