Random

hw6/functional.py

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+def chech_args_availability(*args):
+    '''
+    Accepts an arbitary number of arguments and check their availability:
+    their number should be more than 2 and the last argument should be a list.
+    If arguments does not satisfy these conditions, it raise an error.
+    :param args: positional arguments
+    '''
+    if len(args) < 2:
+        raise AssertionError('You should pass at least 2 argumnets into function: function name and list object')
+    if not isinstance(args[-1], list):
+        raise AssertionError('Last argument should be a list object')
+
+
+def sequential_map(*args):
+    '''
+    Accepts an arbitary number of functions and list object as the last argument.
+    Then consistently applies these functions to list.
+    :param args: arbitary number of functions and list object as the last argument
+    :return: modified list
+    '''
+    # checking arguments availability
+    chech_args_availability(*args)
+
+    funcs = args[:-1]
+    lst = args[-1]
+    lst = func_chain(*funcs)(lst)
+
+    # convert result to list object
+    if not isinstance(lst, list):
+        lst = list(lst)
+
+    # round float values if all of them have a zero after point
+    if all([numb.is_integer() for numb in lst]):
+        lst = list(map(int, lst))
+
+    return lst
+
+
+def consensus_filter(*args):
+    '''
+    Accepts an arbitary number of bool functions and list object as the last argument.
+    Then consistently applies these functions to list and return those elements of the list
+    which gave True after applying each of the functions
+    :param args: arbitary number of bool functions and list object as the last argument
+    :return: a slice of the original list
+    '''
+
+    # checking arguments availability
+    chech_args_availability(*args)
+
+    funcs = args[:-1]
+    lst = args[-1]
+    for func in funcs:
+        lst = list(filter(func, lst))
+
+    return lst
+
+
+def conditional_reduce(func_1, func_2, lst):
+    '''
+    Accepts two functions and list object.
+    First function filters elements of the list and returns slice of the original list.
+    Second function accepts these elements and does some manipulations with them returning one value.
+    :param func_1: bool function which accepts arbitary number of arguments
+    :param func_2: function which accepts slice of the original list and returns single value
+    :return: single value
+    '''
+    filtered_args = list(filter(func_1, lst))
+    return func_2(*filtered_args)
+
+
+def func_chain(*funcs):
+    '''
+    Accepts an arbitary number of bool functions and integrate them into one function
+    :param funcs: arbitary number of functions
+    :return: some value(s) - result of consistent application of passed functions
+    '''
+    def wrapper_around_func_chain(args):
+        '''
+        Wrapper around func_chain function. Makes consistent application of functions
+        passed into decorator function - func_chain.
+        :param args: positional arguments
+        :return: function which is a result of consistent application of passed functions
+        '''
+        for func in funcs:
+            args = func(args)
+        return args
+    return wrapper_around_func_chain
+
+
+def multiple_partial(*funcs, **kwargs):
+    '''
+    Accepts an arbitary number of functions and keyword arguments for them.
+    It “freezes” some portion of a function’s keyword arguments resulting in a new object
+    with a simplified signature.
+    :param funcs: list of functions
+    :kwargs: keyword arguments
+    :return: list of functions
+    '''
+    def partial(func, *args, **kwargs):
+        def newfunc(*fargs, **fkwargs):
+            newkwargs = kwargs.copy()
+            newkwargs.update(fkwargs)
+            return func(*fargs, **newkwargs)
+        return newfunc
+    new_funcs = []
+    for func in funcs:
+        new_funcs.append(partial(func, **kwargs))
+    return new_funcs