auto | Generate releases based on semantic version labels | Continuous Deployment library
kandi X-RAY | auto Summary
kandi X-RAY | auto Summary
Generate releases based on semantic version labels on pull requests. Automated releases powered by pull request labels. Streamline your release workflow and publish constantly! auto is meant to be run in a continuous integration (CI) environment, but all the commands work locally as well.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of auto
auto Key Features
auto Examples and Code Snippets
Lines of Code : 30License : Non-SPDX (Apache License 2.0)
Copydef auto_shard_dataset(dataset, num_shards, index, num_replicas_in_sync=None):
"""Shard the input pipeline by sharding the underlying list of files.
Args:
dataset: A `tf.data.Dataset` instance, typically the result of a bunch of
datase def add_auto_profiling(self, cmd, options, profile_steps):
"""Traces and profiles at some session run steps.
Args:
cmd: The profiling commands. (i.e. scope, op, python, graph)
options: The profiling options.
profile_steps: def _auto_key_in(self, command, erase_existing=False):
"""Automatically key in a command to the command Textbox.
Args:
command: The command, as a string or None.
erase_existing: (bool) whether existing text (if any) is to be eras import 'package:flutter/material.dart';
import 'package:configurable_expansion_tile_null_safety/configurable_expansion_tile.dart';
class DataStoreClass {
String header;
List items;
DataStoreClass(this.header, this.items);
}
class auto simple_graph() {
boost::adjacency_list<> g;
add_edge(0, 1, g);
add_edge(1, 2, g);
return g;
}
// change (0,1) to (0,2):
remove_edge(0, 1, g);
add_edge(0, 2, g);
#var doc = app.activeDocument;
var page = doc.pages[0];
// get JSON data (just as an example)
var tweets_json = '[ {"name":"line1 line2"}, {"name":"line3"}, {"name":"line4, line5"}]';
var tweets = eval("(" + tweets_json + ")");
// set geoname: API auto test and lint workflow
on: push
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
with:
token: ${{ secrets.GIT_TOKEN }}
- uses: actions/setup-node@v1
wiLoading responsive white paper.
Please wait
The shift to a Biosphere Consciousness
A new generation is rising and with it different views on how we define freedom, power, and community.
There is a blet unitedPath = items[0].unite(items[1]);
const svg = document.querySelector("#svgunite");
const btnDownload = document.querySelector("#btnDownload");
const decimals = 1;
// set auto ids for processing
function ...GROUP BY
sOBJ.schema_id
, sOBJ.name
ORDER BY [TableName]
FOR JSON AUTO
Community Discussions
Trending Discussions on auto
QUESTION
ANSWER
Answered 2022-Feb-17 at 10:47File->Settings->Tools->Emulator, and uncheck Launch in a tool window Then they will open in their own stand alone windows again.
QUESTION
I am reading this book by Fedor Pikus and he has some very very interesting examples which for me were a surprise.
Particularly this benchmark caught me, where the only difference is that in one of them we use || in if and in another we use |.
ANSWER
Answered 2022-Feb-08 at 19:57Code readability, short-circuiting and it is not guaranteed that Ord will always outperform a || operand.
Computer systems are more complicated than expected, even though they are man-made.
There was a case where a for loop with a much more complicated condition ran faster on an IBM. The CPU didn't cool and thus instructions were executed faster, that was a possible reason. What I am trying to say, focus on other areas to improve code than fighting small-cases which will differ depending on the CPU and the boolean evaluation (compiler optimizations).
QUESTION
I know that compiler is usually the last thing to blame for bugs in a code, but I do not see any other explanation for the following behaviour of the following C++ code (distilled down from an actual project):
...ANSWER
Answered 2022-Feb-01 at 15:49The evaluation order of A = B was not specified before c++17, after c++17 B is guaranteed to be evaluated before A, see https://en.cppreference.com/w/cpp/language/eval_order rule 20.
The behaviour of valMap[val] = valMap.size(); is therefore unspecified in c++14, you should use:
QUESTION
I'm learning about different memory orders.
I have this code, which works and passes GCC's and Clang's thread sanitizers:
...ANSWER
Answered 2022-Jan-04 at 16:06The thread sanitizer currently doesn't support std::atomic_thread_fence. (GCC and Clang use the same thread sanitizer, so it applies to both.)
GCC 12 (currently trunk) warns about it:
QUESTION
I found out that in C++ we can use + in lambda function +[]{}
Example from the article:
ANSWER
Answered 2021-Dec-28 at 10:21It's not a feature of lambda and more is a feature of implicit type conversion.
What happens there is stemming from the fact that a captureless lambda can be implicitly converted to a pointer to function with same signature as lambda's operator(). +[]{} is an expression where unary + is a no-op , so the only legal result of expression is a pointer to function.
In result auto funcPtr would be a pointer to a function, not an instance of an object with anonymous type returned by lambda expression. Not much of advantage in provided code, but it can be important in type-agnostic code, e.g. where some kind of decltype expression is used. E.g.
QUESTION
I'm not experienced so I can't really pinpoint what is the problem. Thanks for the help.
I cloned this repo: https://github.com/flatlogic/react-native-starter.git
And was trying to follow the steps below:
Clone the repogit clone https://github.com/flatlogic/react-native-starter.git
Navigate to clonned folder and Install dependenciescd react-native-starter && yarn install
Install Podscd ios && pod install
When I got to the pod install I'm getting that error.
...ANSWER
Answered 2021-Jul-28 at 18:31I think your pod install working fine and has done its job. You need to set up iPhone SDK on your mac then try to run cd ../ && react-native run-ios.
Follow this guide : React Native Environment set up on Mac OS with Xcode and Android Studio
QUESTION
#include
int main()
{
auto f1 = [](auto&) mutable {};
static_assert(std::is_invocable_v); // ok
auto const f2 = [](auto&) {};
static_assert(std::is_invocable_v); // ok
auto const f3 = [](auto&) mutable {};
static_assert(std::is_invocable_v); // failed
}
ANSWER
Answered 2021-Dec-10 at 19:09You get an error for this for the very same reason:
QUESTION
C++20 introduced std::span, which is a view-like object that can take in a continuous sequence, such as a C-style array, std::array, and std::vector. A common problem with a C-style array is it will decay to a pointer when passing to a function. Such a problem can be solved by using std::span:
ANSWER
Answered 2021-Nov-27 at 02:27The question is not why this fails for int[], but why it works for all the other types! Unfortunately, you have fallen prey to ADL which is actually calling std::size instead of the size function you have written. This is because all overloads of your function fail, and so it looks in the namespace of the first argument for a matching function, where it finds std::size. Rerun your program with the function renamed to something else:
QUESTION
In C++20, we are now able to constrain the auto keyword to only be of a specific type. So if I had some code that looked like the following without any constraints:
ANSWER
Answered 2021-Nov-01 at 18:38A constraint on the deduced auto type doesn't mean it needs to be a specific type, it means it needs to be one of a set of types that satisfy the constraint. Note that a constraint and a type are not the same thing, and they're not interchangeable.
e.g. a concept like std::integral constrains the deduced type to be an integral type, such as int or long, but not float, or std::string.
If I really need a
std::integraldatatype, couldn't I just omit theautocompletely?
In principle, I suppose you could, but this would at the minimum lead to parsing difficulties. e.g. in a declaration like
QUESTION
I have run the sklearn.manifold.TSNE example code from the sklearn documentation, but I got the error described in the questions' title.
I have already tried updating my sklearn version to the latest one (by !pip install -U scikit-learn) (scikit-learn=1.0.1). However, the problem is still there.
Does anyone know how to fix it?
- python = 3.7.12
- sklearn= 1.0.1
Example code:
...ANSWER
Answered 2021-Nov-03 at 12:01Delete learning_rate='auto' solved my problem.
Thanks @FlaviaGiammarino comment!!
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