tf.function makes invalid assumptions about arguments that are Mapping instances. In general, there are no requirements for Mapping instances to have constructors that accept [(key, value)] initializers, as assumed here.

This leads to cryptic exceptions when used with perfectly valid Mapping s

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.

Expected Behavior

Missing templates should raise a TemplateNotFound exception with the correct template name.

Actual Behavior

The top-level template is used as the error string even when it is not the template that failed.

There appears to be an issue in Flask's DispatchingJinjaLoader. If a template called parent.html fails to find a sub-template such as `{% extends child

https://github.com/keras-team/keras/blob/master/keras/engine/training.py#L1071-L1077
There are two validation_steps.

In = syntax,

• double quotes (")
• back slashes (\)
• non-ascii characters

are escaped in json.dumps:

$ http -v httpbin.org/post                                      \
    dquote='\"'                                                 \
    multi-line='line 1\nline 2'                               

SUMMARY

When using such task items on output are duplicated.

  - name: Prepare static directories
    action: file path={{ item }} state=directory owner={{ owner }} group={{ owner }} mode=0750
    with_items:
      - "/opt/backups/{{ target_server }}/{{ site_name }}"
      - "/opt/files/{{ site_name }}"
    when: skip_create_files_dir is undefined or skip_create_files_dir != "1"

Looks like www.python-requests.org and docs.python-requests.org are redirecting to https://2.python-requests.org and failing SSL negotiation, making the site appear down. Google links are all dead, documentation links don't work, etc.

http://2.python-requests.org redirects to https://requests.kennethreitz.org/en/master/, which works.

Expected Result

Website should appear or redirect to

I'm clearly overlooking something because I'm very confused.
Right now the default for values_format is .2g with seems not ideal as it formats 110 as 1.1+e01:

"{:.2g}".format(110)

'1.1e+02'

Changing the precision doesn't really help.
There's a pretty easy way to fix this, but not with any standard python formatting from what I can see:
https://stackoverflow.com/qu

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

Versions Affected:

All versions after PR #2082 when flags were added to Request. (>1.4.0)

Response.follow() method not consistent with Request.init(). Missing flags.

No sure how this got missed since PR #2082 was merged, but looking at the parameters for Request.__init__ and Response.follow it appears flags wasn't added to Response.follow to keep it in line with ho

Current implementation does sequential sigmoid_out and mul_. We can get better performance by fusing this operations together.

• face_recognition version:4.1.0
• Python version:3.7
• Operating System:windows 10

Description

I'm having problem to run this program, the error under below

gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\imgp

Home Assistant release with the issue:
0.100.3

Last working Home Assistant release (if known):
none, I started with that one

Operating environment (Hass.io/Docker/Windows/etc.):
HassOS 2.12

Integration:

Description of problem:
Net

Description

The instructor in the above mentioned video has created a new version of the same tutorial, which can be found here

Why

It is always good to keep resources and tutorials up-to-date. The new video talks about namespaces, chroot and cgroups, and speaks about containers at a greater depth.

Is this something you're interest

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.

你的朋友正在使用键盘输入他的名字 name。偶尔，在键入字符 c 时，按键可能会被长按，而字符可能被输入 1 次或多次。

你将会检查键盘输入的字符 typed。如果它对应的可能是你的朋友的名字（其中一些字符可能被长按），那么就返回 True。

示例 1：

输入：name = "alex", typed = "aaleex"
输出：true
解释：'alex' 中的 'a' 和 'e' 被长按。
示例 2：

输入：name = "saeed", typed = "ssaaedd"
输出：false
解释：'e' 一定需要被键入两次，但在 typed 的输出中不是这样。
示例 3：

输入：name = "leelee", typed = "lleeelee"
输出：true
示例 4：

输入：name = "laiden", typ

The documentation section Changing the ACME Server needs to be updated -- in particular, it still says Certbot uses Let's Encrypt's ACMEv1 API by default.

This was discovered by mojoa on the Let's Encrypt forum.

项目推荐

• 项目地址：https://github.com/nushell/nushell

• 类别：Rust

• 项目后续更新计划：
  该项目已达到最低可行的产品质量水平。虽然贡献者将它作为日常驱动程序，但它可能对某些命
  令不稳定。未来版本将填补缺失的功能并提高稳定性。它的设计也随着成熟而变化。

  Nu附带了一组内置命令（如下所示）。如果命令未知，命令将弹出并执行它（在 Windows 上使
  用 cmd 或在 Linux 和 MacOS 上使用 bash），正确地通过 stdin，stdout 和 stderr，所以像你的日常 git 工作流程甚至 vim 可以正常工作。

  还有一本关于 Nu 的书，目前正在进行中。

• 项目描述：这是一个 Github 时代下，一个更加现代的 shell。Nushell 将 shell 命

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

The new plotting backend option is documented for package authors implementing such a backend: https://dev.pandas.io/docs/development/extending.html#plotting-backends, but we should probably mention this in the user guide (https://dev.pandas.io/docs/user_guide/visualization.html) as well.

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