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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

In the documentation it says:

Turns positive integers (indexes) into dense vectors of fixed size. eg. [[4], [20]] -> [[0.25, 0.1], [0.6, -0.2]]

Neither this explanation nor this example is very clear. I would suggest replacing this with

Turns positive integers (indexes) into dense vectors of fixed size. eg. [[4], [20]] -> [[0.25, 0.1], [0.6, -0.2]]

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

Calling score_samples with a non fitted KernelDensity object returns a non helpful error message.

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

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

We have just merged #33312 which makes sure that a test fails if it has uncaught exceptions while it was running. This was not considered a failure before.

We had to ignore several existing tests that had uncaught exceptions. This included some tests of the default_config integration. These tests will need to be fixed.

The ignored tests can be found [here](https://github.com/home-assistant/core/

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

对于数组[1, 2, 3, 4] 和 [4, 3, 2, 1] 你的冒泡排序算法是否都能获得不错的效率？

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

Code Sample, a copy-pastable example if possible

# Your code here
from pandas import Timestamp
Timestamp.min.tz_localize("Asia/Tokyo")

The example is picked directly from
pandas/tests/scalar/timestamp/test_timezones.py::TestTimestampTZOperations::test_tz_localize_pushes_out_of_bounds

Problem description

Error message is empty.

yep, out of scope. but i

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