earthquakes | Supporting code for Automating the Detection | Machine Learning library

 by   interactiveaudiolab Python Version: Current License: No License

kandi X-RAY | earthquakes Summary

kandi X-RAY | earthquakes Summary

earthquakes is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. earthquakes has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Supporting code for "Automating the Detection of Dynamically Triggered Earthquakes via a Deep Metric Learning Algorithm"
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              earthquakes has a low active ecosystem.
              It has 9 star(s) with 1 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 2 have been closed. On average issues are closed in 4 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of earthquakes is current.

            kandi-Quality Quality

              earthquakes has no bugs reported.

            kandi-Security Security

              earthquakes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              earthquakes does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              earthquakes releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed earthquakes and discovered the below as its top functions. This is intended to give you an instant insight into earthquakes implemented functionality, and help decide if they suit your requirements.
            • Construct argument parser .
            • Function to parallelize the elements of an array .
            • Get an earthquake layer .
            • Visualize the learned embedding space .
            • Processes an earthquake file .
            • Load a trained model .
            • Load earthquake data .
            • Initialize the DeepClusterLoss .
            • Read a surface window
            • Pretty print the model .
            Get all kandi verified functions for this library.

            earthquakes Key Features

            No Key Features are available at this moment for earthquakes.

            earthquakes Examples and Code Snippets

            No Code Snippets are available at this moment for earthquakes.

            Community Discussions

            QUESTION

            How do I groupby, count or sum and then plot two lines in Pandas?
            Asked 2021-May-24 at 19:50

            Say I have the following dataframes:

            Earthquakes:

            ...

            ANSWER

            Answered 2021-May-24 at 19:50

            QUESTION

            Data cleaning of (lat,long) coordinates
            Asked 2021-May-22 at 01:07

            I'm new to Python and I want to understand how I can remove values from my dataset that are 0.00000 In context, I am working on the dataset https://www.kaggle.com/ksuchris2000/oklahoma-earthquakes-and-saltwater-injection-wells

            The file InjectionWells.csv has some values in their coordinates (LAT and LONG) which I need to remove but I don't know exactly how. This is so I can make a scatterplot with X longitude and Y latitude

            I tried the following but didn't work. Can you please guide me?

            ...

            ANSWER

            Answered 2021-May-21 at 00:47

            You can create a Boolean series by comparing a column of a dataframe to a single value. Then you can use that series to index the dataframe, so that only those rows that meet the condition are selected:

            Source https://stackoverflow.com/questions/67629499

            QUESTION

            Adding a new dictionary item to a nested dictionary
            Asked 2021-May-14 at 06:34
            cities={
            
                'city1':{
            
                     'name':'sydney',
            
                     'country':'australia',
            
                     'desc':'beautiful'
            
            },
             
               'city2':{
            
                    'name':'toronto',
            
                    'country':'canada',
            
                    'desc':'amazing',
            
                }
            
            }
            
            cities['city3']:"{'name':'Tokyo','country':'japan','desc':'lots of earthquakes’}"
            
            for keys,values in cities.items():
                print(f"{keys}--->{values}”)
            
            ...

            ANSWER

            Answered 2021-May-14 at 06:27

            Try to change your insertion code to:

            Source https://stackoverflow.com/questions/67529848

            QUESTION

            How to attach a logo to a leaflet map?
            Asked 2021-May-10 at 11:07

            I have a leaflet map with some interactivity on it, and i just want to add a fixed logo on the top left corner of the map.

            Here is my code: https://codepen.io/paul-k/pen/OJWYaxw

            I have tried to use coordinates, but the fact is that the logo disappear when you switch to another part of the map.

            I don't know how to pin a logo which doesn't move on the top left corner of the map!

            Thanks for helping :)

            ...

            ANSWER

            Answered 2021-May-10 at 08:18

            You can use L.Control to create a control / button with the logo image:

            Source https://stackoverflow.com/questions/67466905

            QUESTION

            Converting XML to JSON in Android gives Error
            Asked 2021-Apr-26 at 18:40

            I am trying to fetch the data from Earthquake API.

            I am using retrofit. The data is in XML format. I am getting the data fine in XML. I am converting it in JSON using a XML-JSON Converter Library. And the library works just fine when i tried it with a simple xml string such as

            Hello.

            And the library really converts it in JSON.

            But while converting the data fetched from the api, it gives me this error:

            ...

            ANSWER

            Answered 2021-Apr-26 at 18:40

            QUESTION

            Initializing Map from an Observable view model in SwiftUI
            Asked 2021-Apr-08 at 06:25

            I'm attempting to implment a Map on a SwiftUI view from a view model. Every example I find online hard codes a coordinate. In my case, I'm initializing a view model with a Codable struct and I have no idea what the coordinate is going to be.

            I do not encounter compiler issues when I build the project, but canvas crashes. I've tried closing Xcode, cleaning derived data, etc., but that doesn't seem to resolve it.

            Any suggestions re: where my mistake is are greatly appreciated.

            ...

            ANSWER

            Answered 2021-Apr-08 at 06:25

            If you run this on the simulator rather than the preview, you get a more helpful error:

            Source https://stackoverflow.com/questions/66997336

            QUESTION

            Is it possible to use background thread on NSFetchedResultsController for heavy read operation to ensure UI responsiveness?
            Asked 2021-Mar-29 at 14:14

            Apple has shown us how to perform heavy write operation using background thread (by using newBackgroundContext) in their official earth quake example - https://github.com/yccheok/earthquakes-WWDC20

            But, what about heavy read operation? (millions of rows for stress test purpose)

            We would also like our app UI to be responsiveness, when we are launching the app for first time, and the app is reading a large amount of data from CoreData.

            The following is the code snippet which is using NSFetchedResultController.

            UI is not responsiveness if there are a lot of rows ...

            ANSWER

            Answered 2021-Mar-29 at 14:14

            I think it is possible that your problem is the assignment of the fetchedResultsControllerDelegate by the new controller. This seems to be inferable from where you encounter the multithreading violation.

            From the code you provided, it is not clear what kind of object the delegate is, but presumably it manages the UI and thus is on the main thread. You can see who this can potentially lead to a threading problem.

            Thanks for posting a link to this question from my answer here https://stackoverflow.com/a/14710475/427083. I still think that it should work for you if you assign the FRC as the datasource of you table once it is finished, and then reloadData.

            On a side note: while I find this problem interesting and challenging from an engineering point of view, I doubt that it is good architecture to deal with millions of records directly on a mobile device.

            Source https://stackoverflow.com/questions/66789397

            QUESTION

            I can't fetch data from the doInBackground method in AsyncTask Subclass
            Asked 2021-Mar-27 at 11:55

            I'm trying to fetch earthquake data in my app and got my app stopped working. there is no error in my code. even I added internet permission. but when fetching data I think this error occurs. I've debugged but couldn't find the problem.

            Logcat:

            2021-03-27 15:23:32.118 9533-9560/com.example.quakereportapp E/eglCodecCommon: glUtilsParamSize: unknow param 0x000082da 2021-03-27 15:23:32.118 9533-9560/com.example.quakereportapp E/eglCodecCommon: glUtilsParamSize: unknow param 0x000082da ioctl_ping failed for device_type=5, ret=-1 2021-03-27 15:23:37.091 9533-9533/com.example.quakereportapp E/AndroidRuntime: FATAL EXCEPTION: main Process: com.example.quakereportapp, PID: 9533 android.os.NetworkOnMainThreadException at android.os.StrictMode$AndroidBlockGuardPolicy.onNetwork(StrictMode.java:1513) at com.android.org.conscrypt.Platform.blockGuardOnNetwork(Platform.java:415) at com.android.org.conscrypt.ConscryptFileDescriptorSocket.shutdownAndFreeSslNative(ConscryptFileDescriptorSocket.java:1005) at com.android.org.conscrypt.ConscryptFileDescriptorSocket.close(ConscryptFileDescriptorSocket.java:1000) at com.android.okhttp.internal.Util.closeQuietly(Util.java:86) at com.android.okhttp.internal.http.StreamAllocation.deallocate(StreamAllocation.java:256) at com.android.okhttp.internal.http.StreamAllocation.connectionFailed(StreamAllocation.java:293) at com.android.okhttp.internal.http.HttpEngine.close(HttpEngine.java:445) at com.android.okhttp.internal.huc.HttpURLConnectionImpl.execute(HttpURLConnectionImpl.java:509) at com.android.okhttp.internal.huc.HttpURLConnectionImpl.getResponse(HttpURLConnectionImpl.java:407) at com.android.okhttp.internal.huc.HttpURLConnectionImpl.getResponseCode(HttpURLConnectionImpl.java:538) at com.android.okhttp.internal.huc.DelegatingHttpsURLConnection.getResponseCode(DelegatingHttpsURLConnection.java:105) at com.android.okhttp.internal.huc.HttpsURLConnectionImpl.getResponseCode(HttpsURLConnectionImpl.java:26) at com.example.quakereportapp.QueryUtils.makeHttpRequest(QueryUtils.java:82) at com.example.quakereportapp.QueryUtils.fetchEarthquakeData(QueryUtils.java:35) at com.example.quakereportapp.MainActivity.updateUi(MainActivity.java:27) at com.example.quakereportapp.MainActivity.access$100(MainActivity.java:14) at com.example.quakereportapp.MainActivity$EarthQuakeAsyncTask.onPostExecute(MainActivity.java:58) at com.example.quakereportapp.MainActivity$EarthQuakeAsyncTask.onPostExecute(MainActivity.java:33) at android.os.AsyncTask.finish(AsyncTask.java:695) at android.os.AsyncTask.access$600(AsyncTask.java:180) at android.os.AsyncTask$InternalHandler.handleMessage(AsyncTask.java:712) at android.os.Handler.dispatchMessage(Handler.java:106) at android.os.Looper.loop(Looper.java:193) at android.app.ActivityThread.main(ActivityThread.java:6669) at java.lang.reflect.Method.invoke(Native Method) at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:493) at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:858)

            My AsyncTask Sub-Class

            ...

            ANSWER

            Answered 2021-Mar-27 at 11:55

            The exception is thrown because you are calling your API from the main thread. The problem in your code is your are calling your API twice. Once in doInBackground and then again in updateUi. Remove the call to QueryUtils.fetchEarthquakeData(url) from updateUi, it should look like this.

            Source https://stackoverflow.com/questions/66830603

            QUESTION

            How does NSFetchedResultsController know what selected range of row to read from CoreData instead of reading entire all rows?
            Asked 2021-Mar-23 at 06:13

            My understanding on NSFetchedResultsController is that, it will not load entire all rows from CoreData at once.

            Based on the current visible UI table row on screen, NSFetchedResultsController will just load a small amount of rows, just to be good enough to be shown on screen.

            But, when I try to read and test the official code from Apple, this is contrast with my perception.

            https://github.com/yccheok/earthquakes-WWDC20/blob/master/LoadingAndDisplayingALargeDataFeed/Earthquakes_iOS/QuakesViewController.swift#L123

            There are around 10,000++ items in the CoreData database.

            When the app is started for the 1st time, UITableView is not being scrolled yet, and the following function being executed for the 1st time

            ...

            ANSWER

            Answered 2021-Mar-23 at 06:13

            You are mistaken in your understanding of NSFetchedResultsController and its purpose. It makes it easier to use Core Data with table views, particularly where objects are inserted, deleted or updated; You can use delegate methods to efficiently handle these actions without needing to reload the entire table view.

            That said, there is a default behaviour of Core Data that means, in effect, only visible rows are loaded into memory regardless of whether you use an NSFetchedResultsController or not.

            The default behaviour of Core Data is to only provide fault objects at first; A fault is a lightweight representation of an object. When a property of the object is accessed Core Data fetches the full object from the persistent store and loads it into memory.

            This may have the effect of only loading full objects for on-screen rows since cellForRow(at:) is only called for visible rows (plus a few extra to allow for scrolling). If the only access to your fetched objects is in that function, then the faults will only fire for those rows.

            As more rows become visible, cells will be required and more faults will fire, loading more data.

            You can disable this faulting behaviour but it will increase memory use.

            You can use UItableViewDataSourcePrefetching to fire faults ahead of display, but in many cases you won't see a difference in the UI.

            Source https://stackoverflow.com/questions/66757011

            QUESTION

            Why am I unable to load "Groceries" data set in R?
            Asked 2021-Mar-18 at 10:25

            I am unable to load Groceries data set in R.

            Can anyone help?

            ...

            ANSWER

            Answered 2021-Mar-18 at 10:25

            Groceries is in the arules package.

            Source https://stackoverflow.com/questions/66689053

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install earthquakes

            Install Anaconda3 (Python3) with the following command on an Ubuntu machine:. For quick training you will also need an NVIDIA card and CUDA set up so PyTorch can use GPUs for training.
            Make an environment: conda create -n earthquake
            Activate it: source activate earthquake
            Install the requirements: pip install -r requirements.txt

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            https://github.com/interactiveaudiolab/earthquakes.git

          • CLI

            gh repo clone interactiveaudiolab/earthquakes

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            git@github.com:interactiveaudiolab/earthquakes.git

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