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Isn't the time complexity a little high, when `for (auto x : m) { ... }`?

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Isn't the time complexity a little high, when `for (auto x : m) { ... }`? One iteration calls fifo_map_compare n^2 times. I think the time complexity of such a...

This is a new feature or bug about operator "- -"?

2

```py print(3 - - 2) print(3 + + 2) """output 5 5 """ ```

```python var = tuple([ [1, 2, 3], [4, 5, 6] ]) l1, l2 = zip(*sorted(zip(*var))) print(l1, l2) l3 = zip(*sorted(zip(var))) print(l3) print(zip(*sorted(zip(var)))) print(list(zip(*sorted(zip(var))))) ``` - result: ```shell (1, 2, 3)...

# Python3.x load module path error Program execute display like this error: `ImportError: No module named 'xxx'` also you used like this code: `from .xxx import xxx` or `from ..xxx...

CompletableFuture API err: System Error, please try again later! Message:dubbo 2.6 does not support metadata

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- [ ] I have searched the [issues](https://github.com/apache/dubbo-admin/issues) of this repository and believe that this is not a duplicate. - [ ] I have checked the [REAMDE](https://github.com/apache/dubbo-admin/blob/develop/README.md) of this repository...

WIP: fix: the diff between the list and map types in the generic call leads to the panic problem

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#### What type of PR is this? fix #### What this PR does / why we need it (English/Chinese): en: 1. Fix the panic problem caused by passing different parameters...

就是可视化的时候，你原来的代码对于绘图是不懂的，只会显示第一次的，我改成下面这样就好了，但这个貌似不是最优的方法吧，求指导 `# training accuracies, steps = [], [] for t in range(4000): # training batch_index = np.random.randint(len(train_data), size=32) sess.run(train_op, {tf_input: train_data[batch_index]}) if t % 50 == 0: # testing acc_,...

[QA] 服务端新增字段疑问

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thrift服务端新增required字段，调用端不变，服务端新增的发布后，旧的调用端会给新增字段附默认值还是调用失败？

I use leetcode now about this syntax.  This abnormal when I open the Plugin name of Python for VSCode.  This normal when I close the Plugin name of...

I think I might have found a bug.

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Hello! Excuse me. I think this kernel method `quadratic` have error. This is my test code. ```python import warnings warnings.filterwarnings('ignore') import numpy as np import random # load yourself model...