我对JS毫无用处,因为我不知道我在做什么,但我已经碰到了CSS不会让我过去的墙。
我在网站上有一个页面,其中有一些手风琴文字部分。我遇到的问题是我想要这样做,以便在页面加载时不会扩展它们,我希望它们都被隐藏。目前,该页面打开,顶部选项已展开。
以下是我认为是负责任的剧本,任何人都可以为我揭光吗?
提前致谢。
from config.config import get_config
init = tf.global_variables_initializer()
config = get_config()
filename_queue = tf.train.string_input_producer(['data0.tfrecord,data1.tfrecord'], 5, capacity=16384)
reader = tf.TFRecordReader()
(keys, values) = reader.read_up_to(filename_queue, config.batch_size)
context_features = {
"seq_len": tf.FixedLenFeature([1], dtype=tf.int64),
}
audio_features = {
"audio": tf.FixedLenSequenceFeature([config.num_features], dtype=tf.float32),
"label": tf.FixedLenSequenceFeature([config.num_classes], dtype=tf.float32)
}
audio_list = []
label_list = []
len_list = []
for i in range(config.batch_size):
print(i)
context, sequence = tf.parse_single_sequence_example(
serialized=values[i],
context_features=context_features,
sequence_features=audio_features
)
audio = sequence['audio']
label = sequence['label']
# seq_len = context['seq_len'][0]
seq_len = tf.shape(audio)[0]
audio_list.append(audio)
label_list.append(label)
len_list.append(seq_len)
audio_tensor = tf.stack(audio_list)
label_tenor = tf.stack(label_list)
len_tensor = tf.stack(len_list)
with tf.Session() as sess:
sess.run(init)
threads = tf.train.start_queue_runners(sess=sess)
for i in range(3):
x, y, z = sess.run([audio_tensor, label_tenor, len_tensor])
print(z)
})(jQuery的);
答案 0 :(得分:1)
如果您拥有与文件顶部完全相同的HTML,请从第一支手风琴中删除open
课程:
<div class="accordion-container">
<!-- The next accordion-section also had the open class -->
<div class="accordion-section">
<h3 class="accordion-section-title"></h3>
<div class="accordion-section-content">
</div>
</div>
<div class="accordion-section">
<h3 class="accordion-section-title"></h3>
<div class="accordion-section-content">
</div>
</div>
<div class="accordion-section">
<h3 class="accordion-section-title"></h3>
<div class="accordion-section-content">
</div>
</div>
</div>