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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def load_corpus(path):
 """ Loads and wrangles the passed in text corpus by path. """


    # Check if the data exists, otherwise download or raise
    if not os.path.exists(path):
        raise ValueError((
            "'{}' dataset has not been downloaded, "
            "use the yellowbrick.download module to fetch datasets"
        ).format(path))

    # Read the directories in the directory as the categories.
    categories = [
        cat for cat in os.listdir(path)
        if os.path.isdir(os.path.join(path, cat))
    ]

    files  = [] # holds the file names relative to the root
    data   = [] # holds the text read from the file
    target = [] # holds the string of the category

    # Load the data from the files in the corpus
    for cat in categories:
        for name in os.listdir(os.path.join(path, cat)):
            files.append(os.path.join(path, cat, name))
            target.append(cat)

            with open(os.path.join(path, cat, name), 'r') as f:
                data.append(f.read())


    # Return the data bunch for use similar to the newsgroups example
    return Bunch(
        categories=categories,
        files=files,
        data=data,
        target=target,
    )