list(map(string,object))

As an AI language model, I do not have enough context to provide a specific answer for this question. However, I can provide a general explanation of the `map()` function in Python.

The `map()` function in Python is used to apply a function to each element of an iterable (such as a list or a tuple) and return a new iterable with the updated values. The syntax for `map()` is as follows:

map(function, iterable)

`function` is the function that will be applied to each element of `iterable`. `iterable` is the iterable object that contains the values to be updated.

For example, if we have a list of numbers and we want to convert each number to a string, we can use the `map()` function as follows:

numbers = [1, 2, 3, 4, 5]
strings = list(map(str, numbers))

In this case, we use the `str` function as the `function` argument for `map()`. This will convert each number in the `numbers` list to a string. The resulting `strings` list will contain the values `['1', '2', '3', '4', '5']`. We then use the `list()` function to convert the `map()` object to a list.