Python note.Note类代码示例

def getpubs():
    """Get Publisher initials and names from '__Publish Name and Initials'"""
    import html2text # pip install html2text
    import re
    from note import Note
    from models import ENNote
    
    id = 90 # in table
    title = '__Publish Name and Initials'
    pubinitialsguid = '97a296aa-9698-4e29-bf74-3baa8e131ca1'
    territorypoisguid = '658ad719-3492-4882-b0f7-f52f67a7f7fa'
    #note_pubinitials = ENNote.objects.get(guid=pubinitialsguid)
    
    note_pubinitials = ENNote.objects.get(id=90)
    
    NotePubInitials = Note(note_pubinitials.content)
    txt = NotePubInitials.parseNoteContentToMarkDown()
    reobj = re.compile(r"(?P<lastname>.+?)\s*,\s*(?P<firstname>.+?)\s*-\s*_(?P<initials>[A-Z]+)")
    match = reobj.search(txt)
    if not match:
	raise Exception("Failed to match publisher initials in: %s" % txt)
    
    publishers = {}
    for match in reobj.finditer(txt):
	publishers[match.group("initials")] = "%s, %s" % (match.group("lastname"), match.group("firstname"))
    
    return publishers      

def main():

    """
    main()

    Purpose: This program builds an SVM model for Twitter classification
    """

    parser = argparse.ArgumentParser()

    parser.add_argument("-t",
        dest = "txt",
        help = "The files that contain the training examples",
        default = os.path.join(BASE_DIR, 'data/twitter-train-cleansed-B.tsv')
    )

    parser.add_argument("-m",
        dest = "model",
        help = "The file to store the pickled model",
        default = os.path.join(BASE_DIR, 'models/awesome')
    )

    parser.add_argument("-g",
        dest = "grid",
        help = "Perform Grid Search",
        action='store_true',
        default = False
    )

    # Parse the command line arguments
    args = parser.parse_args()
    grid = args.grid


    # Decode arguments
    txt_files = glob.glob(args.txt)
    model_path = args.model


    if not txt_files:
        print 'no training files :('
        sys.exit(1)


    # Read the data into a Note object
    notes = []
    for txt in txt_files:
        note_tmp = Note()
        note_tmp.read(txt)
        notes.append(note_tmp)

    # Get data from notes
    X = []
    Y = []
    for n in notes:
        X += zip(n.sid_list(), n.text_list())
        Y += n.label_list()

    # Build model
    train(X, Y, model_path, grid)

 def reset(cls):
   """Reset to default state."""
   Box.reset()
   Note.reset()
   Figure.reset()
   Table.reset()
   Video.reset()

class Melody(object):
  notes = [ ]
  
  def __init__(self):
    self.NOTE = Note()
    
  def transpose(self, k):
    value = [ ]
    for note in self.notes:
      i = self.NOTE.index(note)
      j = i + k
      note2 = self.NOTE.note(j)
      value.append(note2)
    return value
      
  def reverse(self):
    value = [ ]
    for note in self.notes:
      value = [note] + value
    return value
      
  def invert(self):
    base = self.NOTE.index(self.notes[0])
    value = [ ]
    for note in self.notes:
      k =  self.NOTE.index(note)
      kk = 2*base - k
      note2 = self.NOTE.note(kk)
      value.append(note2)
    return value

        def parse_metadata(root):
            notes = {}
            for page in root.find('pageList').findall('page'):
                pg = int(page.attrib['number'])
                annotlist = page.find('annotationList')
                for annot in annotlist.findall('annotation'):
                    if ( annot.attrib['type'] == "1" and
                                        pg <= self.ui.documentWidget.num_pages ):
                        base = annot.find('base')
                        try:
                            author = base.attrib['author']
                        except KeyError:
                            author = ''
                        try:
                            text = base.attrib['contents']
                        except KeyError:
                            text = ''
                        try:
                            cdate = base.attrib['creationDate']
                        except KeyError:
                            cdate = ''
                        try:
                            mdate = base.attrib['modifyDate']
                        except KeyError:
                            mdate = ''
                        try:
                            preamble = base.attrib['preamble']
                        except KeyError:
                            preamble = PREAMBLE
                        try:
                            uname = base.attrib['uniqueName']
                            # notorius-1-0 becomes 0
                            uid = int(uname.rsplit('-')[-1])
                        except KeyError:
                            try:
                                uid = max(notes.keys())
                            except ValueError:
                                uid = 0

                        boundary = base.find('boundary')
                        x = float(boundary.attrib['l'])
                        y = float(boundary.attrib['t'])
                        size = self.ui.documentWidget.Document.page(
                                                        pg).pageSizeF()
                        pos = QtCore.QPointF(x*size.width(),
                                             y*size.height())
                        note = Note(text, preamble, page = pg, pos = pos,
                                    uid = uid)
                        notes[uid] = note
                        note.cdate = datetime.datetime.strptime(cdate, "%Y-%m-%dT%H:%M:%S")
                        note.mdate = datetime.datetime.strptime(mdate, "%Y-%m-%dT%H:%M:%S")
                        note.update()
                    else:
                        self.okular_notes.append(annot)
            return notes

def main():

    """
    main()

    Purpose: This program builds an SVM model for Twitter classification
    """

    parser = argparse.ArgumentParser()

    parser.add_argument("-t",
        dest = "txt",
        help = "Files that contain the training examples (e.g. data/demo.tsv)",
    )

    parser.add_argument("-m",
        dest = "model",
        help = "The file to store the pickled model (e.g. models/demo.model)",
    )

    # Parse the command line arguments
    args = parser.parse_args()

    if (not args.txt) or (not args.model):
        parser.print_help()
        exit(1)

    # Decode arguments
    txt_files = glob.glob(args.txt)
    model_path = args.model


    if not txt_files:
        print 'no training files :('
        sys.exit(1)


    # Read the data into a Note object
    notes = []
    for txt in txt_files:
        note_tmp = Note()
        note_tmp.read(txt)
        notes.append(note_tmp)

    # Get data from notes
    X = []
    Y = []
    for n in notes:
        X += zip(n.sid_list(), n.text_list())
        Y += n.label_list()

    # Build model
    train(X, Y, model_path)

def kick_drum_line(composition, drop_number):
    new_note_list = []
    duration = 44100 / 8
    drop_increment = duration / drop_number

    for i, note in enumerate(composition.get_notes()):
        effect_start_time = note.get_start_time() - duration
        effect_end_time = note.get_start_time()
        if effect_start_time < 0 :
            new_note_list.append(note)
            continue

        if i != 0:
            if note.is_kick():
                rollback = 0
                indices_in_notes_list = len(new_note_list) - 1

                #keep rolling back until "in drop time" notes are popped off
                while True:
                    last_note = new_note_list[-1]
                    if last_note.get_start_time() > (last_note.get_end_time() - duration):
                        new_note_list.pop()

                    else:
                        break

                last_note = new_note_list[-1]
                last_note.set_end_time(effect_start_time)

                scale = composition.get_scale()
                closest = utilities.find_closest(scale, note.get_frequency())
                index = scale.index(closest) + drop_number
                ampl = note.get_amplitude()

                for x in range(0, drop_number):
                    new_s_time = int(effect_start_time + x * drop_increment)
                    new_e_time = int(effect_start_time + (x+1) * drop_increment)
                    new_freq = scale[index]

                    nn = Note(new_s_time, new_e_time, new_freq, ampl)
                    nn.set_kick(True)

                    new_note_list.append(nn)
                    index -=1

                new_note_list.append(note)
                   
            else:
                new_note_list.append(note)

    composition.notes = new_note_list

def edit_notes(mn, config_store, args):
    """
    Display search results and allow edits.

    :param Mininote mn: Mininote instance
    :param ConfigStore config_store: User configuration
    :param argparse.Namespace args: Command line options
    """
    from match_notes import match_notes

    text_editor = args.text_editor
    before_notes = list(mn.search(args.note))
    before_formatted_notes = '\r\n'.join(map(str, before_notes))
    after_formatted_notes = text_editor.edit(before_formatted_notes)

    try:
        nonblank_lines = filter(lambda line: len(line.strip()) > 0, after_formatted_notes.splitlines())
        after_notes = map(Note.parse_from_str, nonblank_lines)
    except NoteParseError:
        logger.error("Unable to parse changes to notes. Session is saved in {}".format(text_editor.path))
        return
    text_editor.cleanup()

    before_notes_reparsed = map(lambda n: Note.parse_from_str(str(n)), before_notes)
    pairs = match_notes(before_notes_reparsed, after_notes)
    for before, after in pairs:
        if before is None:
            mn.add_note(after_notes[after])
        elif after is None:
            mn.delete_note(before_notes[before])
        elif before_notes[before].text != after_notes[after].text:
            before_notes[before].text = after_notes[after].text
            mn.update_note(before_notes[before])

 def save(self):
   buff = self.get_buffer()
   text = buff.get_text(buff.get_start_iter(), buff.get_end_iter())
   if not self.note:
     import utils
     self.note = Note(utils.generate_filename(), utils.user_configurations['TIXPATH'], text)
   self.note.write_text_to_file(text)
   return self.note

def main():

    parser = argparse.ArgumentParser()

    parser.add_argument("-i",
        dest = "txt",
        help = "The files to be predicted on (e.g. data/demo.tsv)",
    )

    parser.add_argument("-m",
        dest = "model",
        help = "The file to store the pickled model (e.g. models/demo.model)",
    )

    parser.add_argument("-o",
        dest = "out",
        help = "The directory to output predicted files (e.g. data/predictions)",
    )


    # Parse the command line arguments
    args = parser.parse_args()

    if (not args.txt) or (not args.model) or (not args.out):
        parser.print_help()
        exit(1)

    # Decode arguments
    txt_files  = glob.glob(args.txt)
    model_path = args.model
    out_dir    = args.out


    # Available data
    if not txt_files:
        print 'no predicting files :('
        exit(1)


    # Load model
    with open(model_path+'.model', 'rb') as fid:
        clf = pickle.load(fid)
    with open(model_path+'.dict', 'rb') as fid:
        vec = pickle.load(fid)


    # Predict labels for each file
    for pfile in txt_files:
        note = Note()
        note.read(pfile)
        XNotNormalized = zip(note.sid_list(), note.text_list())
        X = XNotNormalized
        #X = normalize_data_matrix(XNotNormalized)

        # Predict
        labels = predict( X, clf, vec )

        # output predictions
        outfile  = os.path.join(out_dir, os.path.basename(pfile))
        note.write( outfile, labels )

def get_all_notes():
    G_ = Note('G#', 'Ab', None)
    G = Note('G', '', G_)
    F_ = Note('F#', 'Gb', G)
    F = Note('F', '', F_)
    E = Note('E', '', F)
    D_ = Note('D#', 'Eb', E)
    D = Note('D', '', D_)
    C_ = Note('C#', 'Db', D)
    C = Note('C', 'C', C_)
    B = Note('B', '', C)
    A_ = Note('A#', 'Bb', B)
    A = Note('A', '', A_)

    G_.NextNote = A
    A.PrevNote = G_

    return [A, A_, B, C, C_, D, D_, E, F, F_, G, G_]

    def _import(self):
        self.noteList = {}
        for infile in glob.glob(os.path.join(os.path.expanduser("~/.conboy"), "*.note")):
            try:
                parser = xml.sax.make_parser()
                handler = textHandler()
                parser.setContentHandler(handler)
                parser.parse(infile)
            except Exception:
                import traceback

                print traceback.format_exc()

            try:
                note = Note()
                uuid = handler._content.split("\n", 1)[0].strip(" \t\r\n")
                uuid = getValidFilename(uuid)
                path = os.path.join(note.NOTESPATH, uuid)
                if os.path.exists(path + ".txt"):
                    index = 2
                    while os.path.exists(os.path.join(note.NOTESPATH, "%s %s.txt" % (path, unicode(index)))):
                        index = index + 1
                    uuid = "%s %s" % (os.path.basename(path), unicode(index))

                note.uuid = uuid + ".txt"
                note.write(handler._content)
                try:
                    from rfc3339.rfc3339 import strtotimestamp

                    mtime = strtotimestamp(handler._last_change)
                    lpath = os.path.join(Note.NOTESPATH, note.uuid)
                    os.utime(lpath, (-1, mtime))
                except Exception:
                    import traceback

                    print traceback.format_exc()

            except Exception:
                import traceback

                print traceback.format_exc()

        self._set_running(False)
        self.on_finished.emit()

    def _import(self):
        self.noteList = {}
        for infile in glob.glob( \
            os.path.join(os.path.expanduser('~/.conboy'), '*.note')):
            try:
                parser = xml.sax.make_parser()
                handler = textHandler()
                parser.setContentHandler(handler)
                parser.parse(infile)
            except Exception, err:
                import traceback
                print traceback.format_exc()

            try:
                note = Note()
                uuid = handler._content.split('\n', 1)[0].strip(' \t\r\n')
                uuid = getValidFilename(uuid)
                path = os.path.join(note.NOTESPATH, uuid)
                if os.path.exists(path + '.txt'):
                    index = 2
                    while (os.path.exists(os.path.join( \
                            note.NOTESPATH,'%s %s.txt' \
                            % (path, \
                            unicode(index))))):
                        index = index + 1
                    uuid = ('%s %s' \
                            % (os.path.basename(path), \
                            unicode(index)))

                note.uuid = uuid + '.txt'
                note.write(handler._content)
                try:
                    from rfc3339.rfc3339 import strtotimestamp
                    mtime = strtotimestamp(handler._last_change)
                    lpath = os.path.join(Note.NOTESPATH, note.uuid)
                    os.utime(lpath, (-1, mtime))
                except Exception, err:
                    import traceback
                    print traceback.format_exc()

            except Exception, err:
                import traceback
                print traceback.format_exc()

def show_notes(noteId=None):
	if noteId:
		notes = (list(db.notes.find({'noteId': noteId})))
		print notes
		if notes:
			note = Note.from_json(notes[0])  # convert to python object
			note_title = note.title
			content = note.content
			noteId = note.noteId
			return render_template('show_note.html', title=note_title, content=content, noteId=noteId)

    def __init__(self):
        logging.debug('Initializing Data class')
        self.DueDate = DueDate()
        self.Reminder = Reminder()
        self.Note = Note()
        self.ID  = 'Database'
        self.dbDict = {
            'Database':{
                'DueDate':{
                    DueDate.returndDict()
                },
                'Reminder':{
                    Reminder.returnrDict()

                },
                'Note':{
                    Note.returnnDict()
                }
            }
        }