Netflix | java -jar Netflix
kandi X-RAY | Netflix Summary
kandi X-RAY | Netflix Summary
java -jar Netflix.jar < input > output. input can have 3 directives. output contains result of executing input directives.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Executes the input stream
- Creates tokens for a string
- Returns the next title info
- Get the full title
- Returns true if there are more elements
- Gets the token list
- Performs the search
- Add result
- Start the application
- Starts the command
- Compares two titles
- Gets the title
- Runs a query on the page
- Insert a new node
- Exit command line
Netflix Key Features
Netflix Examples and Code Snippets
@Override
public void doProcessing() {
LOGGER.info("NetflixService is now processing");
}
Community Discussions
Trending Discussions on Netflix
QUESTION
I have a dataframe:
...ANSWER
Answered 2021-Jun-15 at 12:37The format of df
seems weird (data points in columns, not rows).
Below is not the cleanest solution at all:
QUESTION
I'm trying to provide CloseableHttpClient to Spring Cloud OpenFeign. Spring Cloud Open Feign Documentationsays it supports CloeableHttpClient. Spring documentation doesn't give any example of actually replacing the HTTP client.
Basically, I'm providing SSLContext to the HTTP client and I want Feign to use this SSLContext loaded client. How to inject this CloseableHttpClient into the Feign?
Following is my relevant configuration:
- I'm using SpringBootApp
ANSWER
Answered 2021-Jun-09 at 05:01You need to put @Configuration
on top of FeignConfig
which should make it work I believe.
QUESTION
I wrote an AppleScript to synch my Reminders (via export to JSON). It runs great... from the Script Editor. As soon as I tried to run it on the command line via osascript
, I discovered it hits a wall when it tries to access reminders. After maybe a minute and a half, I get this error:
ANSWER
Answered 2021-Jun-07 at 06:12Wrap your script with timeout of 3600 seconds (1 hour). Your script time outs with default time = 2 minutes (120 seconds) per command. So,:
QUESTION
I have a dataframe:
...ANSWER
Answered 2021-Jun-10 at 02:10Let's continue with @wwnde solution with some changes in it:
QUESTION
I'm using the Micronaut framework on Spring Boot. Below is my full Gradle Scan: https://scans.gradle.com/s/d442mq4icm7qe/console-log?anchor=19
Here is my my Gradle Build I currently have set Java 16 in IntelliJ appropriately.
...ANSWER
Answered 2021-Jun-10 at 00:47Your Gradle build is targeting 1.8 (Java 8).
You need to change this (or remove it) if you are using the Java records feature released in Java 16, previewed in Java 14 and in Java 15.
QUESTION
I have a dataframe:
...ANSWER
Answered 2021-Jun-09 at 22:18s=df.set_index(['Name' , 'Segment','Axis']).stack().unstack('Axis').reset_index(level=2, drop=True)#melt dataframe 1
df3=pd.merge(s, df2, on=['Name', 'Segment'], how='left')#merge melted datframewith df2
df3[df3['slope']>df3['Optimal_Cost']].groupby(['Name', 'Segment']).first().reset_index()#Filter as required
Name Segment slope x y Optimal_Cost
0 Amazon 1 120.0 2.0 0.8 115
1 Amazon 2 72.0 6.0 3.0 60
QUESTION
I have a dataframe:
...ANSWER
Answered 2021-Jun-09 at 19:23You can use pd.merge_asof
to perform this type of merge quickly. However there is some preprocessing you'll need to do to your data.
- reshape
df1
to match the format of the expected output (e.g. where "slope", "x", and "y" are columns instead of rows - drop
NaNs
from the merge keys AND sort bothdf1
anddf2
by their merge keys (this is a requirement ofpd.merge_asof
that we need to do explicitly). Merge keys are going to be the "slope" and "optimal cost" columns. - Ensure that the merge keys are of the same dtype (in this case they should both be floats, meaning we'll need to convert "optimal cost" to a float type instead of int.
- perform the merge operation
QUESTION
I have two dataframes: df1:
...ANSWER
Answered 2021-Jun-09 at 16:29Try this:
QUESTION
I am doing a Netflix Clone and I need to change the Banner in every page refresh. I integrated movie details from TMDb. So I want to choose a random number between 0 and 19. I need that random number to display the movie on banner by the number in an array. This array contains movie details. I used Math.random()
function and an error came that response
is not defined. How Do I solve This. Please Help Me.
Here Is My Code:
...ANSWER
Answered 2021-Jun-08 at 06:51 const results = response.data.results
QUESTION
I am doing a clone of Netflix using React.js for learning React.js. I integrated an API from TMDb and for the case of banner image , name , and description , I have an array of 20 Objects which contains all details of 20 movies , and when the page is refreshed , I need to change the Banner into another random movie in the array. I don't Know how to select a random object by its number. Please Help Me To do this.
Here Is My Code :
...ANSWER
Answered 2021-Jun-07 at 09:37You can use Math.random()
which gives you a random number between 0 and 1. You then multiply it by the length of the resulting array and you round it to the lower integer using Math.floor()
. You now have a random integer in the proper range that can be used to extract an element from the array itself.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Netflix
You can use Netflix like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Netflix component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page