Method that takes a method as a parameter with an optional parameter











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I have two methods from a library that work in the same manner. The difference is that one takes an additional, optional parameter. For example:



def method1(a, b, c):
...

def method2(a, b, c, d=None):
...


I have to perform the same task on the results of these methods, so I have a method that combines them that looks like this:



def wrapper(method, a, b, c, d=None):

...

if d:
results = method(a, b, c, d=d)
else:
results = method(a, b, c)

...


This works, but as I add more methods that have different optional arguments it becomes cumbersome. Is there a way a better way to handle these parameters?










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  • 2




    Look at the * operator for function arguments; I suspect you can solve your problem from there with a simple list of arguments, such as results = method(*arg_list)
    – Prune
    Nov 9 at 17:51










  • try **kwargs for the parameter d.
    – Naveen
    Nov 9 at 17:52










  • Are these methods or functions? But I agree, probably best if you modify the methods/functions to handle the args/kwargs conditionally.
    – Idlehands
    Nov 9 at 18:33










  • In my case, method 1 and 2 are actually methods and the wrapper is a function, but I was trying to generalize for this example. I didn't realize *args as a whole could be passed through.
    – billypilgrim
    Nov 10 at 17:23

















up vote
1
down vote

favorite












I have two methods from a library that work in the same manner. The difference is that one takes an additional, optional parameter. For example:



def method1(a, b, c):
...

def method2(a, b, c, d=None):
...


I have to perform the same task on the results of these methods, so I have a method that combines them that looks like this:



def wrapper(method, a, b, c, d=None):

...

if d:
results = method(a, b, c, d=d)
else:
results = method(a, b, c)

...


This works, but as I add more methods that have different optional arguments it becomes cumbersome. Is there a way a better way to handle these parameters?










share|improve this question


















  • 2




    Look at the * operator for function arguments; I suspect you can solve your problem from there with a simple list of arguments, such as results = method(*arg_list)
    – Prune
    Nov 9 at 17:51










  • try **kwargs for the parameter d.
    – Naveen
    Nov 9 at 17:52










  • Are these methods or functions? But I agree, probably best if you modify the methods/functions to handle the args/kwargs conditionally.
    – Idlehands
    Nov 9 at 18:33










  • In my case, method 1 and 2 are actually methods and the wrapper is a function, but I was trying to generalize for this example. I didn't realize *args as a whole could be passed through.
    – billypilgrim
    Nov 10 at 17:23















up vote
1
down vote

favorite









up vote
1
down vote

favorite











I have two methods from a library that work in the same manner. The difference is that one takes an additional, optional parameter. For example:



def method1(a, b, c):
...

def method2(a, b, c, d=None):
...


I have to perform the same task on the results of these methods, so I have a method that combines them that looks like this:



def wrapper(method, a, b, c, d=None):

...

if d:
results = method(a, b, c, d=d)
else:
results = method(a, b, c)

...


This works, but as I add more methods that have different optional arguments it becomes cumbersome. Is there a way a better way to handle these parameters?










share|improve this question













I have two methods from a library that work in the same manner. The difference is that one takes an additional, optional parameter. For example:



def method1(a, b, c):
...

def method2(a, b, c, d=None):
...


I have to perform the same task on the results of these methods, so I have a method that combines them that looks like this:



def wrapper(method, a, b, c, d=None):

...

if d:
results = method(a, b, c, d=d)
else:
results = method(a, b, c)

...


This works, but as I add more methods that have different optional arguments it becomes cumbersome. Is there a way a better way to handle these parameters?







python methods optional-parameters






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 9 at 17:47









billypilgrim

456




456








  • 2




    Look at the * operator for function arguments; I suspect you can solve your problem from there with a simple list of arguments, such as results = method(*arg_list)
    – Prune
    Nov 9 at 17:51










  • try **kwargs for the parameter d.
    – Naveen
    Nov 9 at 17:52










  • Are these methods or functions? But I agree, probably best if you modify the methods/functions to handle the args/kwargs conditionally.
    – Idlehands
    Nov 9 at 18:33










  • In my case, method 1 and 2 are actually methods and the wrapper is a function, but I was trying to generalize for this example. I didn't realize *args as a whole could be passed through.
    – billypilgrim
    Nov 10 at 17:23
















  • 2




    Look at the * operator for function arguments; I suspect you can solve your problem from there with a simple list of arguments, such as results = method(*arg_list)
    – Prune
    Nov 9 at 17:51










  • try **kwargs for the parameter d.
    – Naveen
    Nov 9 at 17:52










  • Are these methods or functions? But I agree, probably best if you modify the methods/functions to handle the args/kwargs conditionally.
    – Idlehands
    Nov 9 at 18:33










  • In my case, method 1 and 2 are actually methods and the wrapper is a function, but I was trying to generalize for this example. I didn't realize *args as a whole could be passed through.
    – billypilgrim
    Nov 10 at 17:23










2




2




Look at the * operator for function arguments; I suspect you can solve your problem from there with a simple list of arguments, such as results = method(*arg_list)
– Prune
Nov 9 at 17:51




Look at the * operator for function arguments; I suspect you can solve your problem from there with a simple list of arguments, such as results = method(*arg_list)
– Prune
Nov 9 at 17:51












try **kwargs for the parameter d.
– Naveen
Nov 9 at 17:52




try **kwargs for the parameter d.
– Naveen
Nov 9 at 17:52












Are these methods or functions? But I agree, probably best if you modify the methods/functions to handle the args/kwargs conditionally.
– Idlehands
Nov 9 at 18:33




Are these methods or functions? But I agree, probably best if you modify the methods/functions to handle the args/kwargs conditionally.
– Idlehands
Nov 9 at 18:33












In my case, method 1 and 2 are actually methods and the wrapper is a function, but I was trying to generalize for this example. I didn't realize *args as a whole could be passed through.
– billypilgrim
Nov 10 at 17:23






In my case, method 1 and 2 are actually methods and the wrapper is a function, but I was trying to generalize for this example. I didn't realize *args as a whole could be passed through.
– billypilgrim
Nov 10 at 17:23














2 Answers
2






active

oldest

votes

















up vote
1
down vote













Here is some code that might accomplish what you're looking for.



You can pass a collection of methods into wrapper and that function will return the value of any method that has key word arguments mapped to kwargs.



def method1(a, b, c):
return a, b, c


def method2(a, b, c, d=None):
return a, b, c, d

methods = (
method1,
method2,
) # Collection of methods to run.

def wrapper(kwargs, methods=methods):
"""Loop over methods with kwargs."""
for method in methods:
try: # Call method with **kwargs
return method(**kwargs) # Return value if keys in kwargs fit signature of method.
except TypeError as err: # Handle error if keyword args don't match.
print(f'err "{err}" for method "{method}')

kwargs_collection = (dict(zip(args, (f'value for arg: "{arg}"' for arg in args)))
for args in ('abcd', 'abc', ))




for test_kwargs in kwargs_collection:
print(wrapper(test_kwargs))


OUTPUT:




err "method1() got an unexpected keyword argument 'd'" for method "function method1 at 0x7f900c2b7d90"



('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"', 'value for arg: "d"')



('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"')







share|improve this answer






























    up vote
    0
    down vote













    For the wrapper function, I decided to just do something like the following as suggested in the comments:



    def wrapper(method, *args):

    ...

    results = method(*args)

    ...


    Error handling should be incorporated to make sure the proper arguments are being passed as well, as suggested in another answer.






    share|improve this answer





















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      2 Answers
      2






      active

      oldest

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      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      up vote
      1
      down vote













      Here is some code that might accomplish what you're looking for.



      You can pass a collection of methods into wrapper and that function will return the value of any method that has key word arguments mapped to kwargs.



      def method1(a, b, c):
      return a, b, c


      def method2(a, b, c, d=None):
      return a, b, c, d

      methods = (
      method1,
      method2,
      ) # Collection of methods to run.

      def wrapper(kwargs, methods=methods):
      """Loop over methods with kwargs."""
      for method in methods:
      try: # Call method with **kwargs
      return method(**kwargs) # Return value if keys in kwargs fit signature of method.
      except TypeError as err: # Handle error if keyword args don't match.
      print(f'err "{err}" for method "{method}')

      kwargs_collection = (dict(zip(args, (f'value for arg: "{arg}"' for arg in args)))
      for args in ('abcd', 'abc', ))




      for test_kwargs in kwargs_collection:
      print(wrapper(test_kwargs))


      OUTPUT:




      err "method1() got an unexpected keyword argument 'd'" for method "function method1 at 0x7f900c2b7d90"



      ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"', 'value for arg: "d"')



      ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"')







      share|improve this answer



























        up vote
        1
        down vote













        Here is some code that might accomplish what you're looking for.



        You can pass a collection of methods into wrapper and that function will return the value of any method that has key word arguments mapped to kwargs.



        def method1(a, b, c):
        return a, b, c


        def method2(a, b, c, d=None):
        return a, b, c, d

        methods = (
        method1,
        method2,
        ) # Collection of methods to run.

        def wrapper(kwargs, methods=methods):
        """Loop over methods with kwargs."""
        for method in methods:
        try: # Call method with **kwargs
        return method(**kwargs) # Return value if keys in kwargs fit signature of method.
        except TypeError as err: # Handle error if keyword args don't match.
        print(f'err "{err}" for method "{method}')

        kwargs_collection = (dict(zip(args, (f'value for arg: "{arg}"' for arg in args)))
        for args in ('abcd', 'abc', ))




        for test_kwargs in kwargs_collection:
        print(wrapper(test_kwargs))


        OUTPUT:




        err "method1() got an unexpected keyword argument 'd'" for method "function method1 at 0x7f900c2b7d90"



        ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"', 'value for arg: "d"')



        ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"')







        share|improve this answer

























          up vote
          1
          down vote










          up vote
          1
          down vote









          Here is some code that might accomplish what you're looking for.



          You can pass a collection of methods into wrapper and that function will return the value of any method that has key word arguments mapped to kwargs.



          def method1(a, b, c):
          return a, b, c


          def method2(a, b, c, d=None):
          return a, b, c, d

          methods = (
          method1,
          method2,
          ) # Collection of methods to run.

          def wrapper(kwargs, methods=methods):
          """Loop over methods with kwargs."""
          for method in methods:
          try: # Call method with **kwargs
          return method(**kwargs) # Return value if keys in kwargs fit signature of method.
          except TypeError as err: # Handle error if keyword args don't match.
          print(f'err "{err}" for method "{method}')

          kwargs_collection = (dict(zip(args, (f'value for arg: "{arg}"' for arg in args)))
          for args in ('abcd', 'abc', ))




          for test_kwargs in kwargs_collection:
          print(wrapper(test_kwargs))


          OUTPUT:




          err "method1() got an unexpected keyword argument 'd'" for method "function method1 at 0x7f900c2b7d90"



          ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"', 'value for arg: "d"')



          ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"')







          share|improve this answer














          Here is some code that might accomplish what you're looking for.



          You can pass a collection of methods into wrapper and that function will return the value of any method that has key word arguments mapped to kwargs.



          def method1(a, b, c):
          return a, b, c


          def method2(a, b, c, d=None):
          return a, b, c, d

          methods = (
          method1,
          method2,
          ) # Collection of methods to run.

          def wrapper(kwargs, methods=methods):
          """Loop over methods with kwargs."""
          for method in methods:
          try: # Call method with **kwargs
          return method(**kwargs) # Return value if keys in kwargs fit signature of method.
          except TypeError as err: # Handle error if keyword args don't match.
          print(f'err "{err}" for method "{method}')

          kwargs_collection = (dict(zip(args, (f'value for arg: "{arg}"' for arg in args)))
          for args in ('abcd', 'abc', ))




          for test_kwargs in kwargs_collection:
          print(wrapper(test_kwargs))


          OUTPUT:




          err "method1() got an unexpected keyword argument 'd'" for method "function method1 at 0x7f900c2b7d90"



          ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"', 'value for arg: "d"')



          ('value for arg: "a"', 'value for arg: "b"', 'value for arg: "c"')








          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 10 at 16:58

























          answered Nov 9 at 18:55









          DMfll

          92311828




          92311828
























              up vote
              0
              down vote













              For the wrapper function, I decided to just do something like the following as suggested in the comments:



              def wrapper(method, *args):

              ...

              results = method(*args)

              ...


              Error handling should be incorporated to make sure the proper arguments are being passed as well, as suggested in another answer.






              share|improve this answer

























                up vote
                0
                down vote













                For the wrapper function, I decided to just do something like the following as suggested in the comments:



                def wrapper(method, *args):

                ...

                results = method(*args)

                ...


                Error handling should be incorporated to make sure the proper arguments are being passed as well, as suggested in another answer.






                share|improve this answer























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  For the wrapper function, I decided to just do something like the following as suggested in the comments:



                  def wrapper(method, *args):

                  ...

                  results = method(*args)

                  ...


                  Error handling should be incorporated to make sure the proper arguments are being passed as well, as suggested in another answer.






                  share|improve this answer












                  For the wrapper function, I decided to just do something like the following as suggested in the comments:



                  def wrapper(method, *args):

                  ...

                  results = method(*args)

                  ...


                  Error handling should be incorporated to make sure the proper arguments are being passed as well, as suggested in another answer.







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 10 at 17:18









                  billypilgrim

                  456




                  456






























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