airfield | Application Deployment Utility | Continuous Deployment library
kandi X-RAY | airfield Summary
kandi X-RAY | airfield Summary
Self-contained Software Deployment Tool. airfield is a self-contained auto-update utility written in Java 8. With airfield you can easily push you applications to a remote GIT repository and automatically distribute new versions to all connected Java clients.
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Top functions reviewed by kandi - BETA
- Command - line tool
- Updates the git repository
- Opens local git repository
- Initializes the remote repository
- Download or update the image
- Prints the application usage
airfield Key Features
airfield Examples and Code Snippets
Community Discussions
Trending Discussions on airfield
QUESTION
ANSWER
Answered 2021-May-22 at 22:38The issue is that your filter needs to be centered in the middle of the image. So you need
QUESTION
I'm writing a program, that takes 200 planes distributed with the poisson distribution over 12 hours and these planes need to land at an airfield that only has 1 runway. I use the reverse CDF method from the exponential distribution to determine the inter-arrival times. However, I can't seem to calculate the waiting time in the air.
E.g. a plane arrives at 100 seconds, takes 75 seconds to land and is done at 175 seconds. Plane 2 arrives at 150 seconds and must wait 175-150 = 25 seconds. How do I program a variable that my function can output, that takes into consideration that the waiting time also can be 0 seconds?
...ANSWER
Answered 2020-Nov-30 at 16:34This is a single-server queueing system, where the server is the runway. General discrete event systems such as this can be programmed using event scheduling, based on a priority queue to determine what's the next thing to happen. You can read the PDF file at this github repository for a fairly complete discussion.
However, the single server queue has purely sequential logic and can be implemented as a loop using the following recurrence relations:
- arrival_timei ← arrival_timei-1 + interarrival_timei
- start_landing_timei ← max(arrival_timei, finish_landing_timei-1)
- finish_landing_timei ← start_landing_timei + landing_timei
In words, from a plane's perspective
- you have an arrival event
interarrival_time
time units after the last plane arrived (this is your Poisson process); - you can start landing procedures either when you arrive, or when the previous plane finishes landing, whichever comes later; and
- the landing is actually completed
landing_time
time units after you started landing.
You can initialize the imaginary zero'th airplane's arrival_time
and finish_landing
to be 0.0, put the logic outlined above in a loop, and iterate through either the specified number of aircraft or until the stopping time is reached. Since the logic is purely sequential, you can lose the indices and just recycle the variables. In pseudocode, and assuming that interarrival_time()
and landing_time()
are iterators which cough up the corresponding next value on demand:
QUESTION
I have a dataframe like the following:
...ANSWER
Answered 2020-Sep-04 at 11:49Wouldn't it just be:
QUESTION
Sorry, I'm not quite sure how to describe my issue.
For an online python course I'm following there's an exercise I can't figure out. (raise NotImplementedError() refers to lines I need to input code).
The line of code station_years = 2019 - station_start_years[selected_station]
is what I'm stuck on. I'm aiming for the list "station_start_years" to chose its value based on my selected_station value, which is based on station_names.
num = int(input('select a station: '))
was inserted by me so may be wrong.
Thanks for any help, I've read through the exercises but am lost.
Read-only code cellstation_names = ['Harmaja', 'Kaisaniemi', 'Kaivopuisto', 'Kumpula', 'lighthouse', 'Malmi airfield', 'Suomenlinna aaltopoiju', 'Vuosaari harbour']
station_start_years = [1989, 1844, 1904, 2005, 2003, 1937, 2016, 2012]
Below we can define the selected station: #raise NotImplementedError()
num = int(input('select a station: '))
selected_station = station_names[num]
Next we find the location of the selected station in the list of station names:
Read-only code cellstation_index = station_names.index(selected_station)
Now we can calculate the years the station has been operational:
YOUR CODE HEREraise NotImplementedError()
station_years = 2019 - station_start_years[selected_station]
Now, we can print the station name and number of years of operation to the screen.
A sample print statement on screen is 'The Helsinki Harmaja station has been operational for 30 years.'
The print statements should work for all listed stations only by modifying the selected_station
-variable that is defined earlier in this problem.
raise NotImplementedError()
ANSWER
Answered 2020-Mar-07 at 11:34You find the index of selected_station
in station_names
but then you use selected_station
(which is the name of the station) to index your station_start_years
list. You should be using station_index
there:
QUESTION
I have a folder which contains a depth of up to 3 layers of subdirectories, with images in the deepest subdirectory (for most images, this is just one level). I want to rename these images to include the name of the directory they are in as a prefix. For this, I need to be able to run a single command for each subdirectory in this tree of subdirectories. This is my attempt:
...ANSWER
Answered 2020-Jan-02 at 14:38Say dir
has the value /home/arjung2/data_256_nodir/a/airfield
. In this case, the statement
QUESTION
I am trying to plot Starbucks locations from CSV data onto a city shapefile that I've loaded in. I want to essentially create a heat map or simple scatter plot with the Starbucks locations on the city shapefile. The csv file has longitude and latitude points.
This is the code I have so far, I'm having trouble with merging the two files together though. Please let me know if you can help!
...ANSWER
Answered 2019-Dec-23 at 07:26Since the streets are a line geometry and the Starbucks locations are point geometries, they can't be merged into a single shapefile. However, they can still be plotted on the same map. I use ggplot here, but you can use any number of other plotting tools.
First step is to turn the Starbucks csv from a regular dataframe with some lat/long coordinates into an sf object that has geometries using st_as_sf()
. Then, re-project that to match the projection for Dallas streets using st_transform()
.
QUESTION
I declare a leaflet map with
...ANSWER
Answered 2019-May-08 at 17:53I think the issue comes from trying to change the map view (possibly through openPopup with autoPan, which is on by default) too often, typically in a loop without giving any delay for the map to actually set the view between each call.
IIRC, this is already identified as a limitation in Leaflet, but I could not find the exact thread in the issue tracker unfortunately.
Normally, a very simple fix is simply to remove the map view changes within your loop, and keep only the very last one.
In your case, if you have the default behaviour of only 1 Popup being opened at a time, then that would definitely be a valid solution: just open the popup of your last Marker.
If you did configure your map to keep several Popups open simultaneously, and you do want to open all of them through your loop, then make sure to disable autoPan (at least during your loop).
QUESTION
Over our engineer week, my school gave out code challenges. You are not allowed to use libraries that solves a major chunk of the problem. Here is my problem.
...ANSWER
Answered 2019-Mar-18 at 03:56You don't really have to compare arrays. Unless you have huge number of steps or fields, the simplest approach is to simulate each step by playing the the directions. Btw, which symbol denotes down?
QUESTION
Doing a course in my own time called GeoPython 2018 and am heavily stuck on Lesson 3, Exercise 3.
The content so far has been conditional statements, loops and lists (no dictionaries).
THE PROBLEM:
We are asked to take a list of weather station names, a list of latitudes and a list of longitudes and divide them up into 4 regions (NE, NW, SE, SW) defined by the cutoffs.
...ANSWER
Answered 2019-Mar-09 at 16:37Here is one of them (apologies if west is lower longitude, then switch > to < ):
QUESTION
I am trying to create a custom breakpoint for my navbar so that it changes to a hamburger menu at 1080px. However the entire navbar expands when I click on a dropdown.
...ANSWER
Answered 2018-Jul-25 at 10:24Try to use below code snippet. Actually issue is you want dropdown to take space below 1080px but above 1080px you want it to be absolute, so that navbar doesn't get expanded.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install airfield
You can use airfield 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 airfield 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 .
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