Please make sure that this is a bug. As per our
GitHub Policy,
we only address code/doc bugs, performance issues, feature requests and
build/installation issues on GitHub. tag:bug_template

System information

• Have I written custom code (as opposed to using a stock
  example script provided in TensorFlow): Yes

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.

There are many pages in the docs that have different overlapping information about error handlers:

• https://flask.palletsprojects.com/en/1.1.x/errorhandling/#error-handlers
• https://flask.palletsprojects.com/en/1.1.x/blueprints/#error-handlers
• https://flask.palletsprojects.com/en/1.1.x/patterns/errorpages/
• https://flask.palletsprojects.com/en/1.1.x/patterns/apierrors/

These need to

Please make sure that this is a Bug or a Feature Request and provide all applicable information asked by the template.
If your issue is an implementation question, please ask your question on StackOverflow or on the Keras Slack channel instead of opening a GitHub issue.

**System inf

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

SUMMARY

Flatten field yields unexpected results when it hits None. Instead of skipping over none it silently discards the to-be-flatten list. See example below.

ISSUE TYPE

• Bug Report

COMPONENT NAME

flatten filter

ANSIBLE VERSION

ansible 2.8.1
  config file = None
  configured module search path = ['/root/.ansible/plugins/modules', '/

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

Not sure when this happened but i love the new left-hand side navigation https://scikit-learn.org/dev/user_guide.html

(@adrinjalali did this maybe?)

However, when clicking the different entries, the result is inconsistent. For some, it shows a TOC that expands the existing toc with m

Similar to https://github.com/pytorch/pytorch/pull/34037/files we can view a complex tensor as a float tensor and pass it to uniform_ used by rand

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

@humitos suggested extending the hoverxref_roles setting of the corresponding Sphinx extension so that the display-on-hover behavior of the documentations works for things like signal or setting references.

• 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

一个班级60%喜欢足球，70%喜欢篮球，80%喜欢排球，问：三种球都喜欢占比最大可能有多少，最小可能有多少？即求三种球都喜欢的比例范围

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.

NOTE: I'd originally opened a PR to address this, but am now busy with other obligations + other PRs to respond to. So I'm opening it up as a good first issue for now, and will return to work on it if nobody takes it.

In pandas/core/groupby/generic.py::DataFrameGroupBy::_wrap_applied_output, it seems this branch is never reached:

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 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