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System information

• TensorFlow version (you are using): 2.1
• Are you willing to contribute it (Yes/No): No

A description is incomplete. It should mention:

These patterns are not competing, but complementing each other. To achieve availability, one needs both fail-over and replication.

right after

"There are two main patterns to support high availability: fail-over and replication. "

There are some interesting algorithms in simulation from Physics, Chemistry, and Engineering especially regarding Monte Carlo simulation: Heat Bath algorithm, Metro-Police algorithm, Markov Chain Monte Carlo, etc.

Huge and nice collection and also getting very much appreciated from the community.
It would be great if somebody can translate into English then it will be reaching out to global.

I pulled the latest version of flask Flask from the master branch, commit 64ba43411fbfb2e435455b0df2453d7809b7c5a8.

The Quickstart minimal example on the dev version of Flask does not run as intended. Previous versions of the Quickstart example would display a simple "Hello world" message, but the addition of an undefined "name" variable causes the example to fail with a NameError.

It seems

Steps:

1. Go to a nonexistent page in Keras docs, e.g. https://keras.io/asdfsada so the 404 page is shown
2. Search something
3. You are redirected to https://search.html/?q=something instead of a relative URL

It's not clear from the website's documentation, or the --help output, how to do the following equivalent curl task:

Post a raw JSON query to ElasticSearch:

curl \
    --header "Content-Type: application/json" \
    --request POST \
    --data '{ "_source": [ "restricted_countries.*" ], "query": { "match_all": {} }, "size": 1000 }' \
    'http://localhost:9200/_search'

T

We're trying to fix as many broken links as possible before modules move into collections. This is the batch of broken links on some Ansible modules.

NOTE: the link checker sometimes reports an error where a link actually works. Ignore those if you find them.

ISSUE TYPE

• Documentation Report

COMPONENT NAME

When using the url http://docs.python-requests.org/en/latest/, it redirects to https://2.python-requests.org//en/latest/ (notice the extra / before en). This causes a HTTP 404.

Expected Result

The redirect should be to https://2.python-requests.org/en/latest/

Actual Result

HTTP 404

Reproduction Steps

Try to visit the latest en documentation for requests using the

thanks for all the developmenters.
i can't access to intetent all the time, is there any pleace where i can download the offline tutorials ?

https://github.com/pytorch/pytorch/pull/34093/files

cc @ezyang @anjali411 @dylanbespalko

https://github.com/aymericdamien/TensorFlow-Examples/blob/master/tensorflow_v2/notebooks/3_NeuralNetworks/convolutional_network_raw.ipynb

trainable_variables = weights.values() + biases.values() doesn't work.
Also if I write trainable_variables = list(weights.values()) + list(biases.values()), I have to turn on tf.enable_eager_execution(), but the training result is wrong, accuracy is ar

https://twisted.readthedocs.io/en/latest/core/howto/defer-intro.html#inline-callbacks-using-yield says "On Python 3, instead of writing returnValue(json.loads(responseBody)) you can instead write return json.loads(responseBody). This can be a significant readability advantage, but unfortunately if you need compatibility with Python 2, this isn’t an option.".

• face_recognition version: latest docs
• Python version: N/A
• Operating System: N/A

Description

the docs say that default value for 'model' is "large". in fact, it is "small", which makes a different. please correct the docs

The chat tutorial listed for elixir is outdated. It uses a old version of phoenix and could be confusing to new users who would be learning a oudated set of syntax, application structure, commands i.e. mix phoenix.create vs. mix phx.create.

Also it's missing some steps. For one this they never do mix ecto.create without which the postgres database is not initialized so the app doesn't wo

使用队列实现栈的下列操作：

push(x) -- 元素 x 入栈
pop() -- 移除栈顶元素
top() -- 获取栈顶元素
empty() -- 返回栈是否为空
注意:

你只能使用队列的基本操作-- 也就是 push to back, peek/pop from front, size, 和 is empty 这些操作是合法的。
你所使用的语言也许不支持队列。 你可以使用 list 或者 deque（双端队列）来模拟一个队列 , 只要是标准的队列操作即可。
你可以假设所有操作都是有效的（例如, 对一个空的栈不会调用 pop 或者 top 操作）。

来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/implement-stack-using-queues
著作权归领扣网络所有。商业转载请联系官方授权

项目推荐

• 项目地址：https://github.com/christianparpart/contour

• 类别：C++

• 项目后续更新计划：

• 项目描述：contour 是一个使用 C++ 17 开发的终端模拟器，可在 Windows, Linux 和 MacOS 三大平台使用，支持字体连字 Font Ligatures（例如 Fira Code 字体）、GPU 加速渲染、背景模糊（Win10、KDE）、256 色和 True Color 和配色主题。

• 推荐理由：快速、简洁

• 示例代码：（可选）长度：1-20 行

• 截图：

Target Leakage in mentioned steps in Data Preprocessing. Train/test split needs to be before missing value imputation. Else you will have a bias in test/eval/serve.

In the past we've talked about trying to keep the list of systems we test on relatively current I still think there's some value in that.

If the tests don't immediately work, especially due to failures in certbot-auto, I think it probably makes sense to close/kick this issue until we've done some combination of deprecate certbot-auto and rewrite the test farm tests.

I think listing anti-patterns with some basic reasoning about "why not" is a good idea.

Example - singleton. Although #256 has "won't fix" label

• it is in PRs section, and people (if searching history at all) are searching issues first.
• it was misspelled, Singelton instead of Singleton, therefore impossible to find

Listing most popular anti-patterns (without actual implementation) shou

When attempting to aggregate a non-existing column, this error is raised, which is not very descriptive: SpecificationError: nested renamer is not supported

In [39]: pd.DataFrame([[1, 2]], columns=['A', 'B']).groupby('A').agg({'B': 'mean'})
Out[39]: 
   B
A   
1  2

In [40]: pd.DataFrame([[1, 2]], columns=['A', 'B']).groupby('A').agg({'B': 'mean', 'non-existing': 'mean'})
Out[40]:

In the PCA section there is the following quote:

We see that these 150 components account for just over 90% of the variance.

While not inaccurate (150 componen