# How to create a function with arbitrary parameters based on an arbitrary string

My end goal is: I want to create a set of truth tables, where each truth table corresponds to an arbitrarily defined boolean expression, which is originally stored as a string (like: "(var_1 and not var_2) or var_3" ). The string could have any number of operators.

This is easily achievable if I have a particular boolean expression in mind:

``````def evaluator(var_1,var_2,var_3):
return  (var_1 and not var_2) or var_3

def truth_table(f):
values = [list(x) + [f(*x)] for x in product([False,True], repeat=f.__code__.co_argcount)]
return pd.DataFrame(values,columns=(list(f.__code__.co_varnames) + [f.__name__]))

one_truth_table = truth_table(evaluator)
``````

But I want to do it for any function of any number of parameters, with any type of boolean expression. I will be iterating through boolean expressions as strings to create a series of truth tables.

I've been struggling with this all day. If I could get this snippet of code to behave as I want, then my problem would be solved.

``````def temp_func(boolean_expression_string,variable_names_list):
return eval(boolean_expression_string)

# i have two strings: '(var_1 and var_2) and (var_3 or not var_4) or var_etc'
# and also: 'var_1,var_2,var_3,var_4,var_etc'

temp_func('(var_1 and var_2) and (var_3 or not var_4) or var_etc', input(list(eval('var_1,var_2,var_3,var_4,var_etc'))))
``````

Running this the result is:

``````NameError: name 'var_1' is not defined
``````

I included the whole back story in case I'm approaching the whole problem in a dumb way. Though you might guess that I'm just trying to get it to work, elegance isn't my top priority at the moment.

Edit: the variable names are not uniformly defined, and can't be parsed according to some ordering, so this is another layer of difficulty to deal with

Asked by: Lucas479 | Posted: 30-11-2021

`eval` can take two dictionaries of name to value mappings to use as the global and local namespaces, respectively, to run the expression in.

It's easier to ask forgiveness than it is to get permission.

The idea is to find all variable names by trying to evaluate the expression and catching the `NameError`. Note that we need to generate all variable assignments for the list of variables because python will short circuit the evaluation of `or` and `and`. For example, in `var_1 or var_2` we will not find `var_2` if `var_1` is initialised to `True`.

``````def variable_names(expression):
# list of found variables
variables = list()
while True:
try:
# generate all assignments for current variable names
assignments = [
{variables[i]: v for i, v in enumerate(vs)}
for vs in itertools.product(
[True, False], repeat=len(variables)
)
]
# try to evaluate them all
for assignment in assignments:
eval(expression, None, assignment)
# all of them work, can return
return variables
except NameError as e:
# get next variable
variables.append(
re.match("name '(.+)' is not defined", str(e)).group(1)
)
``````

We then generate a list of dictionaries of assignmentsâ€”exactly as in the previous methodâ€”and give this to `eval`, adding the result to the dictionary. The DataFrame can then be created from records.

``````def truth_table(expression):
# get variable names
variables = variable_names(expression)
# make list of assignments
assignments = [
{variables[i]: v for i, v in enumerate(vs)}
for vs in itertools.product([True, False], repeat=len(variables))
]
# get truthy values
values = [
{**assignment, **{"value": eval(expression, None, assignment)}}
for assignment in assignments
]
# make dataframe from records and supply column order
return pd.DataFrame.from_records(values, columns=variables + ["value"])
``````

If all of your variables are named `var_1`, `var_2`,... you can give a list of their value assignments to `evaluator` and parse them into a dictionary

``````def evaluator(expression, values):
return eval(
expression,
None,
{"var_{}".format(i + 1): v for i, v in enumerate(values)},
)
``````

and run it as follows

``````evaluator(
"(var_1 and var_2) and (var_3 or not var_4)",
[True, False, True, False]
)
``````

which returns `False`.

The full code for computing a truth table from an expression is then

``````def truth_table(expression):
# get variable names
varnames = set(re.findall(r"(var_\d+)", expression))
# sort by index
varnames = sorted(varnames, key=lambda x: int(x.split("_")[1]))
# get truthy values
values = [
list(x) + [evaluator(expression, x)]
for x in itertools.product([True, False], repeat=len(varnames))
]
return pd.DataFrame(values, columns=varnames + ["T/F"])
``````

If you have holes in the list of variablesâ€”e.g. `(var_1 and var_3)`â€”you'll need to either rename them before calling the evaluator or change the evaluator to take a dictionary.

Answered by: Miller208 | Posted: 01-01-2022

# Similar questions

python - Django: Arbitrary number of unnamed urls.py parameters

I have a Django model with a large number of fields and 20000+ table rows. To facilitate human readable URLs and the ability to break down the large list into arbitrary sublists, I would like to have a URL that looks like this: /browse/&lt;name1&gt;/&lt;value1&gt;/&lt;name2&gt;/&lt;value2&gt;/ .... etc .... where 'name' maps to a model attribute and 'value' is the search criteria for that...

python - How do I call a function with arbitrary parameters from another function?

I'd like to know how I would go about doing something like this (in python 2): def myFunction(fn, params): return ("You called " + fn.__name__ + "(" + str(params) ")" + " and got " + str(fn(params))) Say I have a couple functions: def doSomething(s): # manipulation return s def doAnotherThing(someInt, someOtherInt, someString): # do something with ...

curve fitting - Creating a python lmfit Model with arbitrary number of parameters

Is there a way to construct a an lmfit Model based on a function with an arbitrary number of dependent variables? For example: from lmfit import Model def my_poly(x, *params): func = 0 for i in range(len(params)): func+= params[i]*z**i return func #note: below does not work my_model = Model(my_poly, independent_vars = ['x'], param_names = ['A','B','C']) Something similar to th...

How do Python methods handle arbitrary parameters?

I will use the range function as the main example in this question. I use range a lot to generate a list of numbers. However, I use it often with different parameters, specifically a different NUMBER of parameters. It makes me wonder how range easily handles different numbers of parameters and assigns them to their respective value (if they represent the highest value, or the ...

python - Allowing for an arbitrary number of parameters in a function?

python - Fit an arbitrary number of parameters when calling curve_fit

Closest I found to this question was here: Fitting only one parameter of a function with many parameters in python. I have a multi-parameter function that I want to be able to call with a different subset of parameters being optimised in different parts of the code (useful because for some data...

scipy - Python: Finding number of fitting parameters for arbitrary curve

Is there a way to return the number of arguments an arbitrary function has which is defined in some other file? I have tried using the Signature class in inspect as follows: from foo import func1, func2, func3 from inspect import signature from scipy.optimize import curve_fit func_list = [ func1, func2, func3 ] n, bins, patches = hist( array ) for f in func_list: sig = signature(f) args = sig.par...

python - How to write a wrapper to fix arbitrary parameters of the jacobian of a function

This is an extension of a previous stack-exchange question I posted. link Context: My goal is to fit data to a function f(t, *p) using the scipy.optimize.curve_fit function. I happen to know some parameters pfix = {p_j, ..., p_k} a...

python - How to allow any arbitrary query parameters using FastAPI and Swagger?

Note: This question is different from the one here, in that I need it to work with Swagger. Given a FastAPI GET endpoint, I want to allow any arbitrary set of URL parameters, while maintaining Swagger support. My use case is that I want to support a JSON API-like set of query parameters s...

Python function that counts negative integers using arbitrary number of parameters

Python newbie here, I need help with working with function with arbitrary number of parameters. I want to implement a function that can take an arbitrary number of parameters, and counts negative integers. I want to try the negative_counter function on the following list of numbers 4,-3,5,6,-7 See my attempt (not sure what I am doing wrong) def negative_counter(*args):...

python - Django: Arbitrary number of unnamed urls.py parameters

I have a Django model with a large number of fields and 20000+ table rows. To facilitate human readable URLs and the ability to break down the large list into arbitrary sublists, I would like to have a URL that looks like this: /browse/&lt;name1&gt;/&lt;value1&gt;/&lt;name2&gt;/&lt;value2&gt;/ .... etc .... where 'name' maps to a model attribute and 'value' is the search criteria for that...

python - variables as parameters in field options

I want to create a model, that will set editable=False on creation, and editable=True on editing item. I thought it should be something like this: home = models.ForeignKey(Team, editable=lambda self: True if self.id else False) But it doesn't work. Maybe something with overriding the init can help me, but i don't sure what can do the trick. I know i can check for self.id...

c# - How to analyse .exe parameters inside the program?

I have a program that can have a lot of parameters (we have over +30 differents options). Example: myProgram.exe -t alpha 1 -prod 1 2 -sleep 200 This is 3 Commands (from command pattern object at the end) that each contain some parameters. Inside the code we parse all command (start with -) and get a list of string (split all space) for the parameters. So in fact, we have : string-->Collection ...

python - Default parameters to actions with Django

Is there a way to have a default parameter passed to a action in the case where the regex didnt match anything using django? urlpatterns = patterns('',(r'^test/(?P&lt;name&gt;.*)?\$','myview.displayName')) #myview.py def displayName(request,name): # write name to response or something I have tried setting the third parameter in the urlpatterns to a dictionary containing ' and giving...

python - Loop function parameters for sanity check

I have a Python function in which I am doing some sanitisation of the input parameters: def func(param1, param2, param3): param1 = param1 or '' param2 = param2 or '' param3 = param3 or '' This caters for the arguments being passed as None rather than empty strings. Is there an easier/more concise way to loop round the function parameters to apply such an expression to ...

python - How can I pass all the parameters to a decorator?

I tried to trace the execution of some methods using a decorator. Here is the decorator code: def trace(func): def ofunc(*args): func_name = func.__name__ xargs = args print "entering %s with args %s" % (func_name,xargs) ret_val = func(args) print "return value %s" % ret_val print "exiting %s" % (func_nam...

parameters - Python Newbie: Returning Multiple Int/String Results in Python

I have a function that has several outputs, all of which "native", i.e. integers and strings. For example, let's say I have a function that analyzes a string, and finds both the number of words and the average length of a word. In C/C++ I would use @ to pass 2 parameters to the function. In Python I'm not sure what's the right solution, because integers and strings are not passed by reference but by value (at leas...

Print out list of function parameters in Python

Is there a way to print out a function's parameter list? For example: def func(a, b, c): pass print_func_parametes(func) Which will produce something like: ["a", "b", "c"]

python - How to create a decorator that can be used either with or without parameters?

I'd like to create a Python decorator that can be used either with parameters: @redirect_output("somewhere.log") def foo(): .... or without them (for instance to redirect the output to stderr by default): @redirect_output def foo(): .... Is that at all possible? Note that I'm not looking for a different solution to the problem of redirectin...

python - Scope of lambda functions and their parameters?