Katari | Katari - Python Session Initiated Protocol Framework | TCP library
kandi X-RAY | Katari Summary
kandi X-RAY | Katari Summary
Katari - Python Session Initiated Protocol Framework
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Top functions reviewed by kandi - BETA
- Process incoming data
- Invoked by the server
- Runs the middleware request
- Decorator to register an INFO endpoint
- Returns a null response
- Set the contact
- Set the call s call_id
- Create a response object
- Execute build
- Copies files in src_loc to dst_loc
- Find the Katari environment
- Execute the project
- Default response handler
- Send a message to the client
- Run the response layer
- Start the server
- Start a new UDP server
- Return a SIPMessage object
- Load middleware
Katari Key Features
Katari Examples and Code Snippets
Community Discussions
Trending Discussions on Katari
QUESTION
I uploaded a .txt file in to R as follows: Election_Parties <- readr::read_lines("Election_Parties.txt")
The following text is in the file: pastebin link.
The text more or less looks as follows (Please use actual file for solution!):
...ANSWER
Answered 2019-Dec-16 at 18:41The reason the answer doesn't work properly anymore is that the file has changed slightly. The original answer was based on the fact that entries were separated by an empty line. These lines are gone. But entries are now separated by a line that only contains "P00-". We can use this as the separator instead.
QUESTION
I uploaded a .txt
file in to R
as follows: Election_Parties <- readr::read_lines("Election_Parties.txt")
The following text is in the file: pastebin link.
The text more or less looks as follows (Please use actual file for solution!):
...ANSWER
Answered 2019-Nov-23 at 11:29I turned the whole thing into a tidy and useful format. Have a look:
First I read in the file:
QUESTION
I uploaded a txt
file in to R
as follows: Election_Parties <- readr::read_lines("Election_Parties.txt")
Let's say the following text was in the file:
ANSWER
Answered 2019-Nov-22 at 11:26You may use
QUESTION
I uploaded a .txt
file in to R
as follows: Election_Parties <- readr::read_lines("Election_Parties.txt")
. Let's say the following text was in the file:
ANSWER
Answered 2019-Nov-22 at 12:21If your separator is always "", then once you have your text in a vector; use that as a demarcator and do cumsum to separate them into groups.
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