origin | Conformance test suite for OpenShift | Continuous Deployment library
kandi X-RAY | origin Summary
kandi X-RAY | origin Summary
[Licensed under Apache License version 2.0] This repo was previously the core Kubernetes tracking repo for [OKD] and where OpenShift’s hyperkube and openshift-test binaries were maintained. As of July 2020, the purpose and maintenance strategy of the repo varies by branch.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of origin
origin Key Features
origin Examples and Code Snippets
Lines of Code : 7
License : No License
Copyconst isSameOrigin = (origin, destination) =>
origin.protocol === destination.protocol && origin.host === destination.host;
const origin = new URL('https://www.30secondsofcode.org/about');
const destination = new URL('https://www.30sec def get_file(fname,
origin,
untar=False,
md5_hash=None,
file_hash=None,
cache_subdir='datasets',
hash_algorithm='auto',
extract=False,
archive_for def copy_binary(directory, origin_tag, new_tag, version, package):
"""Rename and copy binaries for different python versions.
Args:
directory: string of directory
origin_tag: str of the old python version tag
new_tag: str of the new def _attach_origin_info(self, node):
lineno = getattr(node, 'lineno', None)
col_offset = getattr(node, 'col_offset', None)
if lineno is None:
return
if self._function_stack:
function_name = self._function_stack[-1].name
Community Discussions
Trending Discussions on origin
QUESTION
My bitbucket password is correct because I can easily login with this password. When I try to push a project or file to bitbucket it shows Invalid credentials error.
...ANSWER
Answered 2022-Mar-07 at 11:47Go to credential Manager -> Windown Credential -> Add a generic credential fill up the fields Network address: git:https://bitbucket.org Username: App Password: Solver from Here
QUESTION
I'm trying to initiate a Springboot project using Open Jdk 15, Springboot 2.6.0, Springfox 3. We are working on a project that replaced Netty as the webserver and used Jetty instead because we do not need a non-blocking environment.
In the code we depend primarily on Reactor API (Flux, Mono), so we can not remove org.springframework.boot:spring-boot-starter-webflux dependencies.
I replicated the problem that we have in a new project.: https://github.com/jvacaq/spring-fox.
I figured out that these lines in our build.gradle file are the origin of the problem.
...ANSWER
Answered 2022-Feb-08 at 12:36This problem's caused by a bug in Springfox. It's making an assumption about how Spring MVC is set up that doesn't always hold true. Specifically, it's assuming that MVC's path matching will use the Ant-based path matcher and not the PathPattern-based matcher. PathPattern-based matching has been an option for some time now and is the default as of Spring Boot 2.6.
As described in Spring Boot 2.6's release notes, you can restore the configuration that Springfox assumes will be used by setting spring.mvc.pathmatch.matching-strategy to ant-path-matcher in your application.properties file. Note that this will only work if you are not using Spring Boot's Actuator. The Actuator always uses PathPattern-based parsing, irrespective of the configured matching-strategy. A change to Springfox will be required if you want to use it with the Actuator in Spring Boot 2.6 and later.
QUESTION
I've built my React Native app and tested and troubleshooted with my iOS devices for months. Now I'm trying to built and test the app on Android for the first time. The thing is, that I keep getting errors trying to run the Android-version of my app. After hours of debugging and troubleshooting, I tried to create a new RN project and see if that could run on my emulator and device. I got that part working and then I wanted to copy/paste the files of my existing app project into the new project.
I pasted my existing assets, styles, the source JS-files and the package.json file into the new project, ran npm install and then I ended up with the exact same error message as I had in the original project when I run react-native run-android.
The full error message is here:
...ANSWER
Answered 2021-Aug-21 at 13:43I've hit this same issue and have temporarily resolved it by uninstalling react-native-video (npm uninstall --save react-native-video). That's not a great answer as I need that component, but I don't have a full solution yet. I think somehow com.yqritc:android-scalablevideoview:1.0.4. is required by react-native-video but has gotten lost or removed. Other thoughts are welcome.
UPDATE: Resolved! In your build.gradle in your Android folder you need to add the repository "jcenter()" in allprojects (not in build dependencies) like this...
QUESTION
Recently I was having a problem installing an npm package (that used node-gyp). I tried upgrading the minor version of node from version 16.13.0 to 16.13.1 and upgrading my angular cli from 13.0.2 to 13.2.0. Once I got the package to install I generated a library with ng g library new-library. I don't know what what actually broke it, but now whenever I try to build alibrary it produces an error. I try ng build my-lib and get the below error.
ANSWER
Answered 2022-Jan-30 at 07:21This is a bug in Angular CLI 13.2.0.
Temporary solution:
Removing content configurating .browserslistrc file from root project.
more info
QUESTION
I have a single even-sized vector that I want to transform into a vector of pairs where each pair contains always two elements. I know that I can do this using simple loops but I was wondering if there is a nice standard-library tool for this? It can be assumed that the original vector always contains an even amount of elements.
Example:
...ANSWER
Answered 2022-Feb-14 at 14:26There's a quick-and-dirty approach, which will kinda-hopefully-maybe do what you asked for, and will not even copy the data at all... but the downside is that you can't be certain it will work. It relies on undefined behavior, and can thus not be recommended. I'm describing it because I believe it's what one imagines, intuitively, that we might be able to do.
So, it's about using std::span with re-interpretation of the vector data:
QUESTION
I have an array of positive integers. For example:
...ANSWER
Answered 2022-Feb-27 at 22:44This problem has a fun O(n) solution.
If you draw a graph of cumulative sum vs index, then:
The average value in the subarray between any two indexes is the slope of the line between those points on the graph.
The first highest-average-prefix will end at the point that makes the highest angle from 0. The next highest-average-prefix must then have a smaller average, and it will end at the point that makes the highest angle from the first ending. Continuing to the end of the array, we find that...
These segments of highest average are exactly the segments in the upper convex hull of the cumulative sum graph.
Find these segments using the monotone chain algorithm. Since the points are already sorted, it takes O(n) time.
QUESTION
I have updated Cordova Android to the latest (10.1.1) and now when I build I get:
No usable Android build tools found. Highest 30.x installed version is 30.0.2; minimum version required is 30.0.3
I have the following reported when I start the build:
...ANSWER
Answered 2021-Nov-18 at 06:30Today, I could finally install version 30.0.3.
In Android Studio, I could see and install it from here...
After this, and then also having to remove the whitelist plugin (it is not required any more), I could get it to build.
Only hassle now is it outs to a .aab and not an .apk so side load testing now harder. But the main issue, the building is now working (on Windows PC).. Now hopefully can do the same on the Mac.
QUESTION
With regard to the Log4j JNDI remote code execution vulnerability that has been identified CVE-2021-44228 - (also see references) - I wondered if Log4j-v1.2 is also impacted, but the closest I got from source code review is the JMS-Appender.
The question is, while the posts on the Internet indicate that Log4j 1.2 is also vulnerable, I am not able to find the relevant source code for it.
Am I missing something that others have identified?
Log4j 1.2 appears to have a vulnerability in the socket-server class, but my understanding is that it needs to be enabled in the first place for it to be applicable and hence is not a passive threat unlike the JNDI-lookup vulnerability which the one identified appears to be.
Is my understanding - that Log4j v1.2 - is not vulnerable to the jndi-remote-code execution bug correct?
ReferencesThis blog post from Cloudflare also indicates the same point as from AKX....that it was introduced from Log4j 2!
Update #1 - A fork of the (now-retired) apache-log4j-1.2.x with patch fixes for few vulnerabilities identified in the older library is now available (from the original log4j author). The site is https://reload4j.qos.ch/. As of 21-Jan-2022 version 1.2.18.2 has been released. Vulnerabilities addressed to date include those pertaining to JMSAppender, SocketServer and Chainsaw vulnerabilities. Note that I am simply relaying this information. Have not verified the fixes from my end. Please refer the link for additional details.
...ANSWER
Answered 2022-Jan-01 at 18:43The JNDI feature was added into Log4j 2.0-beta9.
Log4j 1.x thus does not have the vulnerable code.
QUESTION
I have some text like the following:
...ANSWER
Answered 2021-Dec-21 at 10:12We can try using strsplit here as follows:
QUESTION
On the pandas tag, I often see users asking questions about melting dataframes in pandas. I am gonna attempt a cannonical Q&A (self-answer) with this topic.
I am gonna clarify:
What is melt?
How do I use melt?
When do I use melt?
I see some hotter questions about melt, like:
pandas convert some columns into rows : This one actually could be good, but some more explanation would be better.
Pandas Melt Function : Nice question answer is good, but it's a bit too vague, not much expanation.
Melting a pandas dataframe : Also a nice answer! But it's only for that particular situation, which is pretty simple, only
pd.melt(df)Pandas dataframe use columns as rows (melt) : Very neat! But the problem is that it's only for the specific question the OP asked, which is also required to use
pivot_tableas well.
So I am gonna attempt a canonical Q&A for this topic.
Dataset:I will have all my answers on this dataset of random grades for random people with random ages (easier to explain for the answers :D):
...ANSWER
Answered 2021-Nov-04 at 09:34df.melt(...) for my examples, but your version would be too low for df.melt, you would need to use pd.melt(df, ...) instead.
Documentation references:
Most of the solutions here would be used with melt, so to know the method melt, see the documentaion explanation
Unpivot a DataFrame from wide to long format, optionally leaving identifiers set.
This function is useful to massage a DataFrame into a format where one or more columns are identifier variables (id_vars), while all other columns, considered measured variables (value_vars), are “unpivoted” to the row axis, leaving just two non-identifier columns, ‘variable’ and ‘value’.
And the parameters are:
Logic to melting:Parameters
id_vars : tuple, list, or ndarray, optional
Column(s) to use as identifier variables.
value_vars : tuple, list, or ndarray, optional
Column(s) to unpivot. If not specified, uses all columns that are not set as id_vars.
var_name : scalar
Name to use for the ‘variable’ column. If None it uses frame.columns.name or ‘variable’.
value_name : scalar, default ‘value’
Name to use for the ‘value’ column.
col_level : int or str, optional
If columns are a MultiIndex then use this level to melt.
ignore_index : bool, default True
If True, original index is ignored. If False, the original index is retained. Index labels will be repeated as necessary.
New in version 1.1.0.
Melting merges multiple columns and converts the dataframe from wide to long, for the solution to Problem 1 (see below), the steps are:
First we got the original dataframe.
Then the melt firstly merges the
MathandEnglishcolumns and makes the dataframe replicated (longer).Then finally adds the column
Subjectwhich is the subject of theGradescolumns value respectively.
This is the simple logic to what the melt function does.
I will solve my own questions.
Problem 1:Problem 1 could be solve using pd.DataFrame.melt with the following code:
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