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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

It could help potential new contributors if the "How to Contribute" section included the content or a link to the "Good Bug Reports" section of the contributing.md and a link to some simple example tests in step 4

In the IterativeImputer, min_value and max_value are defaulted to None. Internally, if they are None min and max value will be affected to -np.inf and np.inf, respectively.

We should change this behaviour and make that the default of min_value=-np.inf and max_value=np.inf directly.

self explanatory. cc @ezyang @anjali411 @dylanbespalko

https://github.com/aymericdamien/TensorFlow-Examples/blob/9e1bb504f5d0f209d000997ce2ad95bb891798ab/examples/3_NeuralNetworks/bidirectional_rnn.py#L81

I think "outputs [-1]" and "outputs [0]" are equivalent (reversed) in this line of code, but the former (89%) works better than the latter (86%). Why?

They offer a simpler syntax and speed, so once we drop Python 3.5 support I guess it makes sense to look into replacing % and format usages with f-strings where possible.

• 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

Describe the bug
can't find "from sklearn.cross_validation import train_test_split" in Latest version scikit-learn
To Reproduce
Steps to reproduce the behavior:

• Day1
• Step 5: Splitting the datasets into training sets and Test sets
• Can't find "from sklearn.cross_validation import train_test_split" in Latest version scikit-learn**

**Desktop (please complete the following infor

Similar to certbot/certbot#7803, it seems like ideally our code should pass mypy's tests regardless of the Python version it is run on, but we currently specify that Python 2.7 should be used. Can we make our tests pass everywhere and stop pinning this?

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

In our documentation (files in doc/source/../*.rst), we refer to pandas as Pandas, pandas, and *pandas* (sphinx italics).

For documentation consistency, we should standardize these to one form. pandas is the preferable form in our documentation files.

Unfortunately I don't think we create a lint rule for this pattern since we have to be flexible to references and hyperlinks.

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