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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_stl_ascii(file_obj):
 """ Load an ASCII STL file from a file object. Parameters file_obj: open file- like object Returns loaded: kwargs for a Trimesh constructor with keys: vertices: (n,3) float, vertices faces: (m,3) int, indexes of vertices face_normals: (m,3) float, normal vector of each face """


    # the first line is the header
    header = file_obj.readline()
    # make sure header is a string, not bytes
    if hasattr(header, 'decode'):
        try:
            header = header.decode('utf-8')
        except BaseException:
            header = ''
    # save header to metadata
    metadata = {'header': header}

    # read all text into one string
    text = file_obj.read()
    # convert bytes to string
    if hasattr(text, 'decode'):
        text = text.decode('utf-8')
    # split by endsolid keyword
    text = text.lower().split('endsolid')[0]
    # create array of splits
    blob = np.array(text.strip().split())

    # there are 21 'words' in each face
    face_len = 21

    # length of blob should be multiple of face_len
    if (len(blob) % face_len) != 0:
        raise HeaderError('Incorrect length STL file!')
    face_count = int(len(blob) / face_len)

    # this offset is to be added to a fixed set of tiled indices
    offset = face_len * np.arange(face_count).reshape((-1, 1))
    normal_index = np.tile([2, 3, 4], (face_count, 1)) + offset
    vertex_index = np.tile([8, 9, 10,
                            12, 13, 14,
                            16, 17, 18], (face_count, 1)) + offset

    # faces are groups of three sequential vertices
    faces = np.arange(face_count * 3).reshape((-1, 3))
    face_normals = blob[normal_index].astype('<f8')
    vertices = blob[vertex_index.reshape((-1, 3))].astype('<f8')

    return {'vertices': vertices,
            'faces': faces,
            'metadata': metadata,
            'face_normals': face_normals}