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frisbee | Android application for GDG members | Android library

 by   gdg-x Java Version: Current License: Apache-2.0

 by   gdg-x Java Version: Current License: Apache-2.0

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kandi X-RAY | frisbee Summary

frisbee is a Java library typically used in Mobile, Android, Firebase, Gradle applications. frisbee has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
[![Join the chat at https://gitter.im/gdg-x/frisbee](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/gdg-x/frisbee?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [![Build Status](https://travis-ci.org/gdg-x/frisbee.png?branch=develop)](https://travis-ci.org/gdg-x/frisbee) [![Crowdin](https://d322cqt584bo4o.cloudfront.net/gdgx-frisbee/localized.png)](https://crowdin.com/project/gdgx-frisbee). All GDG content in one place. Project Frisbee is the result of GDG[x]'s coordinated efforts to build an applications that makes it easier to discover Google Developer Group content while being on the go. The GDG App features the Google+ news feed, Upcoming Events and general information on every active chapter listed in the Google Developer Group Directory.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • frisbee has a low active ecosystem.
  • It has 268 star(s) with 171 fork(s). There are 38 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 35 open issues and 260 have been closed. On average issues are closed in 235 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of frisbee is current.
frisbee Support
Best in #Android
Average in #Android
frisbee Support
Best in #Android
Average in #Android

quality kandi Quality

  • frisbee has 0 bugs and 0 code smells.
frisbee Quality
Best in #Android
Average in #Android
frisbee Quality
Best in #Android
Average in #Android

securitySecurity

  • frisbee has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • frisbee code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
frisbee Security
Best in #Android
Average in #Android
frisbee Security
Best in #Android
Average in #Android

license License

  • frisbee is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
frisbee License
Best in #Android
Average in #Android
frisbee License
Best in #Android
Average in #Android

buildReuse

  • frisbee 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 are not available. Examples and code snippets are available.
  • It has 19288 lines of code, 1119 functions and 308 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
frisbee Reuse
Best in #Android
Average in #Android
frisbee Reuse
Best in #Android
Average in #Android
Top functions reviewed by kandi - BETA

kandi has reviewed frisbee and discovered the below as its top functions. This is intended to give you an instant insight into frisbee implemented functionality, and help decide if they suit your requirements.

  • bindViewHolder
    • region Override
      • Builds the properties .
        • Get the pulse view at the index
          • Ensures that the view has been created .
            • Initializes the RecyclerView .
              • Fetch pulse task
                • Gets the last known location .
                  • Compares two Places in descending order .
                    • Called when an event details is loaded .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      frisbee Key Features

                      [DEPRECATED] Android application for GDG members and organizers

                      frisbee Examples and Code Snippets

                      See all related Code Snippets

                      License

                      copy iconCopydownload iconDownload
                      © 2013-2015 GDG[x]

                      How to Iterate through list of list objec in reactJs

                      copy iconCopydownload iconDownload
                      {
                         object.bbox.map((val,index)=>
                                 <rect  x={object.bbox[index][0]} y={object.bbox[index][1] - object.bbox[index][3]}  width={object.bbox[index][2]} height={object.bbox[index][3] }
                                 style={{stroke:"red",}} fill-opacity="0.0" /> 
                         )
                      }
                      

                      Combine Window Functions First and Last

                      copy iconCopydownload iconDownload
                      select customer_id,
                             max(case when seqnum = 1 then item end) as first_item,
                             max(case when seqnum_desc = 1 then item_origin end) as last_item_origin
                      from (select s.*,
                                   row_number() over (partition by customer_id order by purchase_number) as seqnum,
                                   row_number() over (partition by customer_id order by purchase_number desc) as seqnum_desc
                            from source_table s
                           ) s
                      group by customer_id;
                      

                      Is the reason I am getting 'NoneType' errors because I don't have a GPU on my laptop when doing opencv / maskrcnn using my webcam?

                      copy iconCopydownload iconDownload
                      masked_image = visualize.display_instances(...
                      
                      s = masked_image
                      
                      masked_image = visualize.display_instances(...
                      
                      s = masked_image
                      
                      def save_image(image, image_name, boxes, masks, class_ids, scores, class_names, filter_classs_names=None,
                                     scores_thresh=0.1, save_dir=None, mode=0):
                          """
                              image: image array
                              image_name: image name
                              boxes: [num_instance, (y1, x1, y2, x2, class_id)] in image coordinates.
                              masks: [num_instances, height, width]
                              class_ids: [num_instances]
                              scores: confidence scores for each box
                              class_names: list of class names of the dataset
                              filter_classs_names: (optional) list of class names we want to draw
                              scores_thresh: (optional) threshold of confidence scores
                              save_dir: (optional) the path to store image
                              mode: (optional) select the result which you want
                                      mode = 0 , save image with bbox,class_name,score and mask;
                                      mode = 1 , save image with bbox,class_name and score;
                                      mode = 2 , save image with class_name,score and mask;
                                      mode = 3 , save mask with black background;
                          """
                          mode_list = [0, 1, 2, 3]
                          assert mode in mode_list, "mode's value should in mode_list %s" % str(mode_list)
                      
                          if save_dir is None:
                              save_dir = os.path.join(os.getcwd(), "output")
                              if not os.path.exists(save_dir):
                                  os.makedirs(save_dir)
                      
                          useful_mask_indices = []
                      
                          N = boxes.shape[0]
                          if not N:
                              print("\n*** No instances in image %s to draw *** \n" % (image_name))
                              return
                          else:
                              assert boxes.shape[0] == masks.shape[-1] == class_ids.shape[0]
                      
                          for i in range(N):
                              # filter
                              class_id = class_ids[i]
                              score = scores[i] if scores is not None else None
                              if score is None or score < scores_thresh:
                                  continue
                      
                              label = class_names[class_id]
                              if (filter_classs_names is not None) and (label not in filter_classs_names):
                                  continue
                      
                              if not np.any(boxes[i]):
                                  # Skip this instance. Has no bbox. Likely lost in image cropping.
                                  continue
                      
                              useful_mask_indices.append(i)
                      
                          if len(useful_mask_indices) == 0:
                              print("\n*** No instances in image %s to draw *** \n" % (image_name))
                              return
                      
                          colors = random_colors(len(useful_mask_indices))
                      
                          if mode != 3:
                              masked_image = image.astype(np.uint8).copy()
                          else:
                              masked_image = np.zeros(image.shape).astype(np.uint8)
                      
                          if mode != 1:
                              for index, value in enumerate(useful_mask_indices):
                                  masked_image = visualize.apply_mask(masked_image, masks[:, :, value], colors[index])
                      
                          masked_image = Image.fromarray(masked_image)
                      
                          if mode == 3:
                              masked_image.save(os.path.join(save_dir, '%s.jpg' % (image_name)))
                              return
                      
                          draw = ImageDraw.Draw(masked_image)
                          colors = np.array(colors).astype(int) * 255
                      
                          for index, value in enumerate(useful_mask_indices):
                              class_id = class_ids[value]
                              score = scores[value]
                              label = class_names[class_id]
                      
                              y1, x1, y2, x2 = boxes[value]
                              if mode != 2:
                                  color = tuple(colors[index])
                                  draw.rectangle((x1, y1, x2, y2), outline=color)
                      
                              # Label
                              #font = ImageFont.truetype('/Library/Fonts/Arial.ttf', 15)
                              draw.text((x1, y1), "%s %f" % (label, score), (255, 255, 255))
                      
                          masked_image.save(os.path.join(save_dir, '%s.jpg' % (image_name)))
                      

                      SSL: CERTIFICATE_VERIFY_FAILED following online tutorial

                      copy iconCopydownload iconDownload
                      sudo wget https://dl.eff.org/certbot-auto -O /usr/sbin/certbot-auto
                      sudo chmod a+x /usr/sbin/certbot-auto
                      
                      sudo certbot-auto certainly --standalone -d example.com  -d www.example.com
                      
                      cd /etc/letsencrypt/live/example.com
                      ls 
                      
                      cert.pem
                        chain.pem
                        fullchain.pem
                        privkey.pem
                      
                      sudo wget https://dl.eff.org/certbot-auto -O /usr/sbin/certbot-auto
                      sudo chmod a+x /usr/sbin/certbot-auto
                      
                      sudo certbot-auto certainly --standalone -d example.com  -d www.example.com
                      
                      cd /etc/letsencrypt/live/example.com
                      ls 
                      
                      cert.pem
                        chain.pem
                        fullchain.pem
                        privkey.pem
                      
                      sudo wget https://dl.eff.org/certbot-auto -O /usr/sbin/certbot-auto
                      sudo chmod a+x /usr/sbin/certbot-auto
                      
                      sudo certbot-auto certainly --standalone -d example.com  -d www.example.com
                      
                      cd /etc/letsencrypt/live/example.com
                      ls 
                      
                      cert.pem
                        chain.pem
                        fullchain.pem
                        privkey.pem
                      
                      sudo wget https://dl.eff.org/certbot-auto -O /usr/sbin/certbot-auto
                      sudo chmod a+x /usr/sbin/certbot-auto
                      
                      sudo certbot-auto certainly --standalone -d example.com  -d www.example.com
                      
                      cd /etc/letsencrypt/live/example.com
                      ls 
                      
                      cert.pem
                        chain.pem
                        fullchain.pem
                        privkey.pem
                      

                      Return highest number and associated name from object in Javascript

                      copy iconCopydownload iconDownload
                      getMostNorthern() {
                        if (!this.cities.length) return '';
                        let mostNorthernCity;
                        for (const key in this.cities) {
                          if (!mostNorthernCity) {
                            mostNorthernCity = this.cities[key];
                            continue;
                          }
                          if (this.cities[key].latitude > mostNorthernCity.latitude) {
                            mostNorthernCity = this.cities[key];
                          }
                        }
                        return `${mostNorthernCity.name} at ${mostNorthernCity.latitude}`;
                      }
                      
                          async addOrUpdate(city) {
                              let theUrl;
                      
                              if (city.key) {
                                  theUrl = url + 'update'
                              } else {
                                  theUrl = url + 'add'
                                  this.lastKey++;
                                  city.key = this.lastKey;
                                  city.population = Number(city.population)
                                  city.latitude = Number(city.latitude)
                                  city.longitude = Number(city.longitude)
                              }
                              await postData(theUrl, city);
                              this.cities[city.key] = city;
                          }
                      
                      const cities = {
                        '1': {
                          name: 'Gangster\'s Paradise',
                          latitude: -15,
                          longitude: 5,
                          population: 10,
                          key: 1
                        },
                        '2': {
                          name: 'Pho City',
                          latitude: 5,
                          longitude: 52,
                          population: 1050,
                          key: 2
                        },
                        '3': {
                          name: 'Frisbee Land',
                          latitude: 0,
                          longitude: 12,
                          population: 1000000,
                          key: 3
                        }
                      }
                      
                      // statically defined keys that the city objects contain
                      const cityKeys = [
                        'name',
                        'latitude',
                        'longitude',
                        'population',
                        'key'
                      ]
                      
                      // convert an array of values back into a city object
                      const cityArrayToObject = (city) => city.
                        reduce(
                            (accumulator, current, currentIndex) =>{
                              accumulator[cityKeys[currentIndex]] = current
                              return accumulator
                            }, {}
                        )
                      
                      
                      // sort the arrays by latitude smallest to largest
                      // and then returns the first and last elements, converted
                      // back to an object using the function above.
                      // The array of values of cities looks like this before being sorted:
                      /*
                      [
                        [ "Gangster's Paradise", -15, 5, 10, 1 ],
                        [ 'Frisbee Land', 0, 12, 1000000, 3 ],
                        [ 'Pho City', 5, 52, 1050, 2 ]
                      ]
                      */
                      const sortedCities = Object
                        // make an array out of the keys of the city
                        .keys(cities)
                        // map that array to a new array of values for each key
                        .map((value, index) => Object.values(cities[value]))
                        // then sort that array by the latitude, which is in index 1
                        .sort((a, b) => a[1] - b[1])
                      
                      // take out the last item (pop), which is the largest
                      const largest = cityArrayToObject(sortedCities.pop())
                      
                      // take out the first item (shift) which is the lowest
                      const smallest = cityArrayToObject(sortedCities.shift())
                      
                      console.log('Largest:', largest, 'Smallest:', smallest)
                      
                      Largest: {
                        name: 'Pho City',
                        latitude: 5,
                        longitude: 52,
                        population: 1050,
                        key: 2
                      } 
                      Smallest: {
                        name: "Gangster's Paradise",
                        latitude: -15,
                        longitude: 5,
                        population: 10,
                        key: 1
                      }
                      
                      const cities = {
                        '1': {
                          name: 'Gangster\'s Paradise',
                          latitude: -15,
                          longitude: 5,
                          population: 10,
                          key: 1
                        },
                        '2': {
                          name: 'Pho City',
                          latitude: 5,
                          longitude: 52,
                          population: 1050,
                          key: 2
                        },
                        '3': {
                          name: 'Frisbee Land',
                          latitude: 0,
                          longitude: 12,
                          population: 1000000,
                          key: 3
                        }
                      }
                      
                      // statically defined keys that the city objects contain
                      const cityKeys = [
                        'name',
                        'latitude',
                        'longitude',
                        'population',
                        'key'
                      ]
                      
                      // convert an array of values back into a city object
                      const cityArrayToObject = (city) => city.
                        reduce(
                            (accumulator, current, currentIndex) =>{
                              accumulator[cityKeys[currentIndex]] = current
                              return accumulator
                            }, {}
                        )
                      
                      
                      // sort the arrays by latitude smallest to largest
                      // and then returns the first and last elements, converted
                      // back to an object using the function above.
                      // The array of values of cities looks like this before being sorted:
                      /*
                      [
                        [ "Gangster's Paradise", -15, 5, 10, 1 ],
                        [ 'Frisbee Land', 0, 12, 1000000, 3 ],
                        [ 'Pho City', 5, 52, 1050, 2 ]
                      ]
                      */
                      const sortedCities = Object
                        // make an array out of the keys of the city
                        .keys(cities)
                        // map that array to a new array of values for each key
                        .map((value, index) => Object.values(cities[value]))
                        // then sort that array by the latitude, which is in index 1
                        .sort((a, b) => a[1] - b[1])
                      
                      // take out the last item (pop), which is the largest
                      const largest = cityArrayToObject(sortedCities.pop())
                      
                      // take out the first item (shift) which is the lowest
                      const smallest = cityArrayToObject(sortedCities.shift())
                      
                      console.log('Largest:', largest, 'Smallest:', smallest)
                      
                      Largest: {
                        name: 'Pho City',
                        latitude: 5,
                        longitude: 52,
                        population: 1050,
                        key: 2
                      } 
                      Smallest: {
                        name: "Gangster's Paradise",
                        latitude: -15,
                        longitude: 5,
                        population: 10,
                        key: 1
                      }
                      

                      numpy.ndarray object has no attribute 'read'(and 'seek')

                      copy iconCopydownload iconDownload
                      image, image_w, image_h = load_image_pixels(frame, (input_w, input_h))
                      
                      (grabbed, frame) = vs.read()
                      
                      image, image_w, image_h = load_image_pixels(frame, (input_w, input_h))
                      
                      (grabbed, frame) = vs.read()
                      
                      
                      ##[..] 
                      cv2.imwrite("framex.jpg", frame)
                      filename = "framex.jpg"
                      
                      image, image_w, image_h = load_image_pixels(filename, (input_w, input_h))
                      
                      ##[..]
                      
                      frame = draw_boxes(filename, v_boxes, v_labels, v_scores)
                      
                      ##[..]
                      

                      Not allowing duplicates of an object in an Array List

                      copy iconCopydownload iconDownload
                          for(int i=0; i<15; i++)
                          {
                              Question q = new Question();
                              //makes sure there are no duplicates
                              if(!questions.contains(q))
                                  questions.add(q); //not working for some reason cry
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                      public int hashCode(){
                          return question.hashCode();
                          }
                      
                      @Override
                      public int compareTo(Question question) {
                          return this.getQuestion().compareTo(question.getQuestion());
                      }
                      
                      Set<Question> questions = new TreeSet<>();
                          for(int i=0; i<15; i++)
                          {
                              questions.add(new Question());
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                          for(int i=0; i<15; i++)
                          {
                              Question q = new Question();
                              //makes sure there are no duplicates
                              if(!questions.contains(q))
                                  questions.add(q); //not working for some reason cry
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                      public int hashCode(){
                          return question.hashCode();
                          }
                      
                      @Override
                      public int compareTo(Question question) {
                          return this.getQuestion().compareTo(question.getQuestion());
                      }
                      
                      Set<Question> questions = new TreeSet<>();
                          for(int i=0; i<15; i++)
                          {
                              questions.add(new Question());
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                          for(int i=0; i<15; i++)
                          {
                              Question q = new Question();
                              //makes sure there are no duplicates
                              if(!questions.contains(q))
                                  questions.add(q); //not working for some reason cry
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                      public int hashCode(){
                          return question.hashCode();
                          }
                      
                      @Override
                      public int compareTo(Question question) {
                          return this.getQuestion().compareTo(question.getQuestion());
                      }
                      
                      Set<Question> questions = new TreeSet<>();
                          for(int i=0; i<15; i++)
                          {
                              questions.add(new Question());
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                          for(int i=0; i<15; i++)
                          {
                              Question q = new Question();
                              //makes sure there are no duplicates
                              if(!questions.contains(q))
                                  questions.add(q); //not working for some reason cry
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                      public int hashCode(){
                          return question.hashCode();
                          }
                      
                      @Override
                      public int compareTo(Question question) {
                          return this.getQuestion().compareTo(question.getQuestion());
                      }
                      
                      Set<Question> questions = new TreeSet<>();
                          for(int i=0; i<15; i++)
                          {
                              questions.add(new Question());
                          }
                          for (Question question : questions) {
                              System.out.println(question.getQuestion());
                          }
                      
                      Its better to use HashSet(if order of objects is not important)or LinkedHashSet(if 
                      order of objects is important) using an ArrayList will decrease the performance of the 
                      game on which you are currently working.
                      If you want to use LinkedHashSet you have to override hashCode and equals method.
                      
                      eg program...
                      
                      import java.util.LinkedHashSet;
                      public class Question {
                      
                          private ArrayList<Answer> answers;
                          private String question;
                      
                          public Question(){
                              answers = new ArrayList<>();
                              question=getRandomQuestion();
                          }
                          @Override
                          public int hashCode(){
                              return question.hashCode();
                          }
                          @Override
                          public boolean equals(Object o){
                                  if(o==null)return false;
                                  if(o.getClass()!=this.getClass())return false;
                                  Question q=(Question)o;
                                  return q.question.equals(this.question);
                          }
                          ...
                          </>
                          ...
                          public static void main(String $[]){
                              LinkedHashSet<Question>hash=new LinkedHashSet<>;
                          }
                      }
                      

                      See all related Code Snippets

                      Community Discussions

                      Trending Discussions on frisbee
                      • How to Iterate through list of list objec in reactJs
                      • Combine Window Functions First and Last
                      • UE4, setting relative angular velocity of object
                      • Is the reason I am getting 'NoneType' errors because I don't have a GPU on my laptop when doing opencv / maskrcnn using my webcam?
                      • OWL-API rename does not remove old owl:Thing subclass in reasoner
                      • SSL: CERTIFICATE_VERIFY_FAILED following online tutorial
                      • I can't get this code to execute, it's showing a syntax error on the last line of the while* loop (PYTHON)
                      • Pytorch Faster R-CNN size mismatch errors in testing
                      • Return highest number and associated name from object in Javascript
                      • numpy.ndarray object has no attribute 'read'(and 'seek')
                      Trending Discussions on frisbee

                      QUESTION

                      How to Iterate through list of list objec in reactJs

                      Asked 2022-Feb-22 at 13:53

                      JSON:

                      [
                      {"image_id": "base64encode",
                      "hw": [446, 640], 
                      "category_id":["person", "person", "person", " frisbee"], 
                      "bbox": [[406, 417, 115, 210], [187, 420, 89, 189], [275, 424, 95, 272], [272, 133, 34, 22]], 
                      "score": [0.94813, 0.94638, 0.94348, 0.90018]}
                      ]
                      

                      React Code:

                      {output.map(object => (  
                                <div class="img-overlay-wrap"style={{ marginLeft: "27%" }}>
                               
                                  <img src={`data:image/png;base64,${object.image_id}`} style={{ height:`${object.hw[0]}` , width:`${object.hw[1]}`}} alt="" />
                                  
                                  <svg width={object.hw[1]} height={object.hw[0]} >
                                 <g>
                                   <rect  x={object.bbox[0][0]} y={object.bbox[0][1] - object.bbox[0][3]}  width={object.bbox[0][2]} height={object.bbox[0][3] }
                                 style={{stroke:"red",}} fill-opacity="0.0" />
                       
                                 </g>
                                 
                                      </svg> 
                      
                      </div>
                                ))} 
                      

                      In that above code(in Rect tag) i can only able to get one value of bbox since i'm using bbox[0][1] i coudn't able to iterate through other values. i'm using map functions to iterate through array objects.In jsx please give me suggestion for how to iterate these kind of list of list objects.

                      ANSWER

                      Answered 2022-Feb-22 at 13:53

                      Try this ,

                      {
                         object.bbox.map((val,index)=>
                                 <rect  x={object.bbox[index][0]} y={object.bbox[index][1] - object.bbox[index][3]}  width={object.bbox[index][2]} height={object.bbox[index][3] }
                                 style={{stroke:"red",}} fill-opacity="0.0" /> 
                         )
                      }
                      

                      Based on your requirement you can map the inside array also . I hope you got a general idea , how to deal with such type of problem.

                      Source https://stackoverflow.com/questions/71222392

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install frisbee

                      You can download it from GitHub.
                      You can use frisbee 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 frisbee 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

                      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 .

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