Python space.Space类代码示例

    def build_src_wrapper(self, source_file, test_wpairs):
        """
        In the _source_ space, we only need to load vectors for the words in
        test.  Semantic spaces may contain additional words.
        All words in the _target_ space are used as the search space
        """
        source_words = set(test_wpairs.iterkeys())
        if self.additional:
            #read all the words in the space
            lexicon = set(np.loadtxt(source_file, skiprows=1, dtype=str,
                                        comments=None, usecols=(0,)).flatten())
            #the max number of additional+test elements is bounded by the size
            #of the lexicon
            self.additional = min(self.additional, len(lexicon) - len(source_words))
            random.seed(100)
            logging.info("Sampling {} additional elements".format(self.additional))
            # additional lexicon:
            lexicon = random.sample(list(lexicon.difference(source_words)),
                                    self.additional)

            #load the source space
            source_sp = Space.build(source_file,
                                    lexicon=source_words.union(set(lexicon)),
                                    max_rows=1000)
        else:
            source_sp = Space.build(source_file, lexicon=source_words,
                                    max_rows=1000) 
        source_sp.normalize()
        return source_sp

def post_space_handler(environ, start_response):
    """
    entry point for posting a new space name to TiddlyWeb
    """
    space_name = environ['tiddlyweb.query']['name'][0]

    space = Space(environ)

    try:
        space.create_space(space_name, environ['tiddlyweb.config']['space'])
    except (RecipeExistsError, BagExistsError):
        raise HTTP409('Space already Exists: %s' % space_name)

    host = environ['tiddlyweb.config']['server_host']
    if 'port' in host:
        port = ':%s' % host['port']
    else:
        port = ''

    recipe = Recipe('%s_public' % space_name)
    new_space_uri = '%s/tiddlers.wiki' % recipe_url(environ, recipe)

    start_response('201 Created', [
        ('Location', new_space_uri),
        ('Content-type', 'text/plain')])
    return new_space_uri

    def testExecute(self):
        from space import Space
        from player import Player
        from items.weapon import Weapon
        from commands.drop_command import DropCommand
        
        space = Space("Shire", "Home of the Hobbits.")
        player = Player("Frodo", space)
        dropCmd = DropCommand("drop", "Drops an object from inventory to space", player)
        
        weapon = Weapon("Dagger", "A trusty blade", 2, 2, 2)

        player.addToInventory(weapon)
        player.equip(weapon)

        #Asserts item in player inventory but not in space
        self.assertFalse(space.containsItem(weapon), "Space should not have item but does.")
        
        inventory = player.getInventory()
        self.assertTrue(inventory.containsItem(weapon), "Inventory should have item but does not.")

        #Assert item in space but not in player inventory and not in equipment
        rawInputMock = MagicMock(return_value="Dagger")

        with patch('commands.drop_command.raw_input', create=True, new=rawInputMock):
            dropCmd.execute()
            
        self.assertTrue(space.containsItemString("Dagger"), "Space should have item but does not.")
        
        inventory = player.getInventory()
        self.assertFalse(inventory.containsItem(weapon), "Inventory should not have item but does.")
        
        equipped = player.getEquipped()
        self.assertFalse(equipped.containsItem(weapon), "Equipment should not have item but does.")

    def __init__(self):

	self.name = 'World'

	Space.__init__(self)

	if farm_config.DEBUG_WIN:
	    debug_console.get()._print("World created.")

	self.house = House(1, 1, HOUSE_GRAPHIC, self)
	self.ship_box = Shipbox(4, 12, SHIP_BOX_GRAPHIC, self)
	self.pond = Pond(GAME_WIN_SIZE_Y - 5,
			 GAME_WIN_SIZE_X - 16,
			 POND_GRAPHIC,
			 self
			 )

	self.seed(Cave_Entrance, CAVE_GRAPHICS_DIR + 'entrance_external', 1)
	self.seed(Tree, 'GRAPHICS/tree', NUMBER_TREES)
	self.seed(Rock, 'GRAPHICS/rock', NUMBER_ROCKS)
	self.seed(Bush, 'GRAPHICS/bush', NUMBER_BUSHES)

	if farm_config.DEBUG_WIN:
	    debug_console.get()._print("World populated.")

	self.sort_contents()

	if farm_config.DEBUG_WIN:
	    debug_console.get()._print("World contents sorted.")

def train_wrapper(seed_fn, source_fn, target_fn, reverse=False, mx_path=None,
                  train_size=5000):
    logging.info("Training...")
    seed_trans = read_dict(seed_fn, reverse=reverse)

    #we only need to load the vectors for the words in the training data
    #semantic spaces contain additional words
    source_words = set(seed_trans.iterkeys())
    target_words = set().union(*seed_trans.itervalues())

    source_sp = Space.build(source_fn, lexicon=source_words)
    source_sp.normalize()

    target_sp = Space.build(target_fn, lexicon=target_words)
    target_sp.normalize()

    logging.info("Learning the translation matrix")
    tm, used_for_train = train_tm(source_sp, target_sp, seed_trans, train_size)

    mx_path = default_output_fn(mx_path, seed_fn, source_fn, target_fn,)
    logging.info("Saving the translation matrix to {}".format(mx_path))
    np.save('{}.npy'.format(mx_path), tm)
    pickle.dump(used_for_train, open('{}.train_wds'.format(mx_path),
                                     mode='w'))

    return tm, used_for_train

 def test_on_off(self):
     space = Space('hello world')
     test_fun = lambda: 'test'
     space.on('test', test_fun)
     self.assertIn('test', space._Space__events)
     space.off('test', test_fun)
     self.assertEqual(space._Space__events['test'], [])

def train_translation_matrix(source_file, target_file, dict_file, out_file):
    """Trains a transltion matrix between the source and target languages, using the words in dict_file as anchor
    points and writing the translation matrix to out_file

    Note that the source language file and target language file must be in the word2vec C ASCII format

    :param source_file: The name of the source language file
    :param target_file: The name of the target language file
    :param dict_file: The name of the file with the bilingual dictionary
    :param out_file: The name of the file to write the translation matrix to
    """
    log.info("Reading the training data")
    train_data = read_dict(dict_file)

    #we only need to load the vectors for the words in the training data
    #semantic spaces contain additional words
    source_words, target_words = zip(*train_data)

    log.info("Reading: %s" % source_file)
    source_sp = Space.build(source_file, set(source_words))
    source_sp.normalize()

    log.info("Reading: %s" % target_file)
    target_sp = Space.build(target_file, set(target_words))
    target_sp.normalize()

    log.debug('Words in the source space: %s' % source_sp.row2id)
    log.debug('Words in the target space: %s' % target_sp.row2id)

    log.info("Learning the translation matrix")
    log.info("Training data: %s" % str(train_data))
    tm = train_tm(source_sp, target_sp, train_data)

    log.info("Printing the translation matrix")
    np.savetxt(out_file, tm)

def create_room_elements(room_name):
    room_space = Space({'tiddlyweb.store': store})
    
    this_room = ROOM.replace('ROOMNAME', room_name)
    
    this_room = json.loads(this_room)
    
    room_space.create_space(this_room)

 def test_append(self):
     space = Space('hello world')
     space.append('foo', 'bar')
     space.set('foo2', 'bar')
     space.append('foo', 'two')
     self.assertEqual(space.get('foo'), 'bar')
     self.assertEqual(space.length(), 4)

def addproject(args):
    """make a project space. <project_name>"""
    if len(args) != 1:
        print >> sys.stderr, ('usage: twanager addproject <project_name>')
    
    #replace PROJECT_NAME with the actual name of the project
    this_project = PROJECT.replace('PROJECT_NAME', args[0])
    this_project = json.loads(this_project)
    
    #create the space
    project_space = Space({'tiddlyweb.store': get_store(config)})
    project_space.create_space(this_project)

    def test_trigger(self):
        space = Space('hello world')

        class Count():
            def __init__(self):
                self.count = 0
            def incr(self):
                self.count += 1

        c = Count()
        space.on('change', c.incr)
        space.trigger('change')
        self.assertEqual(c.count, 1)

def eval_js_vm(js):
    a = ByteCodeGenerator(Code())
    s = Space()
    a.exe.space = s
    s.exe = a.exe

    d = pyjsparser.parse(js)

    a.emit(d)
    fill_space.fill_space(s, a)
    # print a.exe.tape
    a.exe.compile()

    return a.exe.run(a.exe.space.GlobalObj)

    def build(cls, core_space, **kwargs):
        """
        Reads in data files and extracts the data to construct a semantic space.

        If the data is read in dense format and no columns are provided,
        the column indexing structures are set to empty.

        Args:
            data: file containing the counts
            format: format on the input data file: one of sm/dm
            rows: file containing the row elements. Optional, if not provided,
                extracted from the data file.
            cols: file containing the column elements

        Returns:
            A semantic space build from the input data files.

        Raises:
            ValueError: if one of data/format arguments is missing.
                        if cols is missing and format is "sm"
                        if the input columns provided are not consistent with
                        the shape of the matrix (for "dm" format)

        """

        sp = Space.build(**kwargs)

        mat = sp._cooccurrence_matrix
        id2row = sp.id2row
        row2id = sp.row2id
        return PeripheralSpace(core_space, mat, id2row, row2id)

    def test_wrapper(self):
        self.load_tr_mx()

        logging.info('The denominator of precision {} OOV words'.format(
                          'includes' if self.args.coverage 
                          else "doesn't include"))
        test_wpairs = read_dict(self.args.seed_fn, reverse=self.args.reverse,
                                needed=1000 if self.args.coverage else -1,
                                exclude=self.exclude_from_test)

        source_sp = self.build_src_wrapper(self.args.source_fn, test_wpairs)

        target_sp = Space.build(self.args.target_fn)
        target_sp.normalize()

        test_wpairs, _ = get_invocab_trans(source_sp, target_sp,
                                              test_wpairs, needed=1000)

        """
        #turn test data into a dictionary (a word can have mutiple translation)
        gold = collections.defaultdict(set, test_wpairs)
        for sr, tg in test_wpairs:
            gold[sr].add(tg)
            """

        logging.info(
            "Mapping all the elements loaded in the source space")
        mapped_source_sp = apply_tm(source_sp, self.tr_mx)
        if hasattr(self.args, 'mapped_vecs') and self.args.mapped_vecs:
            logging.info("Printing mapped vectors: %s" % self.args.mapped_vecs)
            np.savetxt("%s.vecs.txt" % self.args.mapped_vecs, mapped_source_sp.mat)
            np.savetxt("%s.wds.txt" %
                       self.args.mapped_vecs, mapped_source_sp.id2word, fmt="%s")

        return score(mapped_source_sp, target_sp, test_wpairs, self.additional)

def main():
    from space import Space
    import fill_space

    from pyjsparser import parse
    import json
    a = ByteCodeGenerator(Code())

    s = Space()
    fill_space.fill_space(s, a)

    a.exe.space = s
    s.exe = a.exe
    con = get_file_contents('internals/esprima.js')
    d = parse(con+(''';JSON.stringify(exports.parse(%s), 4, 4)''' % json.dumps(con)))
    # d = parse('''
    # function x(n) {
    #     log(n)
    #     return x(n+1)
    # }
    # x(0)
    # ''')

    # var v = 333333;
    # while (v) {
    #     v--
    #
    # }
    a.emit(d)
    print a.declared_vars
    print a.exe.tape
    print len(a.exe.tape)


    a.exe.compile()

    def log(this, args):
        print args[0]
        return 999


    print a.exe.run(a.exe.space.GlobalObj)