Python random 模块，choice() 实例源码

我们从Python开源项目中，提取了以下49个代码示例，用于说明如何使用random.choice()。

项目：Cortex-Analyzers 作者：CERT-BDF | 项目源码 | 文件源码

def save(self):
        # Use long filename as first preference
        filename = self.longFilename

        # Otherwise use the short filename
        if filename is None:
            filename = self.shortFilename
        # Otherwise just make something up!
        if filename is None:
            import random
            import string
            filename = 'UnknownFilename ' + \
                       ''.join(random.choice(string.ascii_uppercase + string.digits)
                               for _ in range(5)) + ".bin"
            #f = open("/tmp/" + filename, 'wb')
            # if self.data is None:
            #f.write(("Pas de PJ"))
            # f.close()
            # else:
            # f.write((self.data))
            # f.close()
            # return filename

项目：Maps 作者：DarkPurple141 | 项目源码 | 文件源码

def render(self,PolygonList):
        a = self.get_neighbours(PolygonList)
        land = [i.terrain for i in a if i.terrain >= 0]
        salt = [i for i in self.get_neighbours(PolygonList) if i.terrain < 0]

        if len([i for i in self.vertices if i.river == True])/len(self.vertices) > 0.88:
            if not salt:
                self.terrain = 0
                self.color = color_palettes.shallows[2]
        if self.terrain < 0 and land:
            self.terrain = -1
            #self.color = color_palettes.shallows[0]
        elif self.terrain > 0 and len(land) != len(a):
            #coast = [i for i in self.vertices if i.coast]
            #if len(coast) > 1:
            #    render_coast(coast)
            if self.terrain > 2:
                self.color = random.choice(color_palettes.cliff)
            else:
                self.terrain = 1
                #self.color = random.choice(color_palettes.sand)

项目：robot-arena 作者：kenganong | 项目源码 | 文件源码

def move():
  hits_robot = []
  hits_non_robot = []
  for move in MOVES:
    target = shooting(move)
    if target and target[TYPE] == ROBOT:
      hits_robot.append(move)
    elif target:
      hits_non_robot.append(move)
  if LASER in hits_robot:
    return LASER
  elif hits_robot:
    return random.choice(hits_robot)
  elif hits_non_robot:
    return random.choice(hits_non_robot)
  else:
    return FORWARD # Find something to shoot!

项目：DREAM 作者：LaceyChen17 | 项目源码 | 文件源码

def reorder_bpr_loss(re_x, his_x, dynamic_user, item_embedding, config):
    '''
        loss function for reorder prediction
        re_x padded reorder baskets
        his_x padded history bought items
    '''
    nll = 0
    ub_seqs = []
    for u, h, du in zip(re_x, his_x, dynamic_user):
        du_p_product = torch.mm(du, item_embedding.t()) # shape: max_len, num_item
        nll_u = [] # nll for user
        for t, basket_t in enumerate(u):
            if basket_t[0] != 0:
                pos_idx = torch.cuda.LongTensor(basket_t) if config.cuda else torch.LongTensor(basket_t)                               
                # Sample negative products
                neg = [random.choice(h[t]) for _ in range(len(basket_t))] # replacement
                # neg = random.sample(range(1, config.num_product), len(basket_t)) # without replacement
                neg_idx = torch.cuda.LongTensor(neg) if config.cuda else torch.LongTensor(neg)
                # Score p(u, t, v > v')
                score = du_p_product[t - 1][pos_idx] - du_p_product[t - 1][neg_idx]
                # Average Negative log likelihood for basket_t
                nll_u.append(- torch.mean(torch.nn.LogSigmoid()(score)))
        nll += torch.mean(torch.cat(nll_u))
    return nll

项目：graph 作者：noxern | 项目源码 | 文件源码

def slack(text: hug.types.text):
    """Returns JSON containing an attachment with an image url for the Slack integration"""
    title = text

    if text == 'top250':
        top250_res = requests.get(IMDB_URL + '/chart/toptv', headers={'Accept-Language': 'en'})
        top250_page = html.fromstring(top250_res.text)
        candidates = top250_page.xpath('//*[@data-caller-name="chart-top250tv"]//tr/td[2]/a')

        title = random.choice(candidates).text

    return dict(
        response_type='in_channel',
        attachments=[
            dict(image_url=GRAPH_URL + f'/graph?title={quote(title)}&uuid={uuid.uuid4()}')
        ]
    )

项目：variational-text-tensorflow 作者：carpedm20 | 项目源码 | 文件源码

def get_neighbors(words, word, window_size=2):
  if type(word) == str:
    idx = words.index(word)
  elif type(word) == int:
    idx = word
  else:
    raise Exception(" [!] Invalid type for word: %s" % type(word))

  if idx < window_size:
    ans = words[-(window_size - idx):] + words[:idx + window_size + 1]
  elif idx >= len(words) - window_size:
    ans = words[idx-window_size:] + words[:window_size + idx - len(words) + 1]
  else:
    ans = words[idx-window_size:idx+window_size+1]

  for _ in xrange(15):
    if random.random() < 0.1:
      ans.append(random.choice(ans))

  random.shuffle(ans)
  return ans