human
Write me a the Python code you requested given the following:
I am working on the file "Algorithms/AlgorithmsEx01.ipynb".
The first task is:
Word counting
Write a function tokenize that takes a string of English text and returns a list of words. It should also remove stop words, which are common short words that are often removed before natural language processing. Your function should have the following logic:

Split the string into lines using splitlines.
Split each line into a list of words and merge the lists for each line.
Use Python's builtin filter function to remove all punctuation.
If stop_words is a list, remove all occurences of the words in the list.
If stop_words is a space delimeted string of words, split them and remove them.
Remove any remaining empty words.
Make all words lowercase.
Can you write Python code for it?
assistant
#Here is the Python code you requested.

def tokenize(s, stop_words=None, punctuation='`~!@#$%^&*()_-+={[}]|\:;"<,>.?/}\t'):
    """Split a string into a list of words, removing punctuation and stop words."""
    
    #Splits string at lines
    lines = s.splitlines()

    word = []
    words = []
    merged = []
    filtered = []
    no_stop = []
    lower = []
    merged0 = []
    
    
    #Splits lines into words
    for entry in lines:
         words.append(entry.split())
    
    

    
    #splits list of lists into list of words
    for stuff in words:
         merged0 = merged0 + stuff
            
    for entry in merged0:
        word.append(entry.split('-'))

    for stuff in word:
         merged = merged + stuff

  
    def logic(x):
        if x in punctuation:
            return False
        return True
    
    #removes punctuation and creates new list of punctuation free words
    for entry in merged:
        word = []
        for char in entry:
            word = word + list(filter(logic,char))
        filtered.append(''.join(word))

    
    def logic2(x):
        if x in stop_words:
            return False
        return True
    
    if type(stop_words) == list:
        no_stop = list(filter(logic2,filtered))

        
    elif type(stop_words) == str:
        stop_words = stop_words.split()
        no_stop = list(filter(logic2,filtered))

    else:
        no_stop = filtered

        
    lower = [s.lower() for s in no_stop]
    return([entry for entry in lower if entry != '' and entry != ' '])

tokenize("wor!d\n word2--word3 \nword4")

assert tokenize("This, is the way; that things will end", stop_words=['the', 'is']) == \
    ['this', 'way', 'that', 'things', 'will', 'end']
wasteland = """
APRIL is the cruellest month, breeding
Lilacs out of the dead land, mixing
Memory and desire, stirring
Dull roots with spring rain.
"""

assert tokenize(wasteland, stop_words='is the of and') == \
    ['april','cruellest','month','breeding','lilacs','out','dead','land',
    ...