Question #$10$ successors $($file$\_$name$)$

Returns a dictionary whose keys are included words $($as is$),$ and values are lists of unique

successors to those words. The first word of the $txt$ file is always a successor to $".".$ Be careful with

punctuation. You can assume the text in the txt file does not contain any contraction words $($isn$\text{'}$t$,$

don't, I$\text{'}$m$,$ etc$)$ but you cannot make assumptions about the spacing or the presence of non$-$

alphanumerical characters. The starter code already contains the code to read the $txt$ file, just make

sure the file is in the same directory as your $.$py file. You must write your code after the file has

been read to process the contents.

# Open the file and read the contents, the with statement ensures

the file properly closed after the file operation finishes

with open$($file$\_$path$)$ as file:

contents $=$ file. read $()$ # reads the entire file, saving data in contents as string

items.txt:

We came to learn,eat some pizza and to have fun.

Maybe to learn how to make pizza too!

$>$ print$($contents$)$

$\text{'}$We came to learn, eat some pizza and to have fun.

Maybe to learn how to make

pizza too!$\text{'}$

Hints:

The str$.$isalnum$()$ method returns True if all characters in a string are alphanumeric.

When $x=\text{'}$We$\text{'},$ the type conversion list $(x)$ produces the list $[\text{'}$W$\text{'},\text{'}$e$\text{'}]$

Preconditions and Postconditions

file$\_$name: str $$ A string that ends with $.$txt

Returns: dict $$ Keys are all included words and punctuation marks, values all

successors of that key

Example:

Contents of items.txt:

We came to Learn, eat some pizza and to have fun.

Maybe to Learn how to make pizza too!

$)$ out$=$successors$(\text{'}$items$.$txt$\text{'})$

$)$ out.keys$()$

dict$\_$keys$([\text{'}.\text{'},\text{'}$We$\text{'},$ 'came', $\text{'}$to$\text{'},$ 'learn', $\text{'},\text{'},$ 'eat', 'some', 'pizza', 'and',

'have', 'fun', 'Maybe', 'how', 'make', 'too'$])$