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dandelion | Extensible web framework making web development easier | Frontend Framework library

 by   dandelion Java Version: 1.1.1 License: Non-SPDX

 by   dandelion Java Version: 1.1.1 License: Non-SPDX

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kandi X-RAY | dandelion Summary

dandelion is a Java library typically used in User Interface, Frontend Framework, React, Webpack, Nodejs, Framework applications. dandelion has build file available and it has high support. However dandelion has 29 bugs, it has 1 vulnerabilities and it has a Non-SPDX License. You can download it from GitHub, Maven.
Extensible web framework making web development easier
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • dandelion has a highly active ecosystem.
  • It has 65 star(s) with 32 fork(s). There are 12 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 47 open issues and 64 have been closed. On average issues are closed in 55 days. There are 13 open pull requests and 0 closed requests.
  • It has a negative sentiment in the developer community.
  • The latest version of dandelion is 1.1.1
dandelion Support
Best in #Frontend Framework
Average in #Frontend Framework
dandelion Support
Best in #Frontend Framework
Average in #Frontend Framework

quality kandi Quality

  • dandelion has 29 bugs (0 blocker, 2 critical, 18 major, 9 minor) and 722 code smells.
dandelion Quality
Best in #Frontend Framework
Average in #Frontend Framework
dandelion Quality
Best in #Frontend Framework
Average in #Frontend Framework

securitySecurity

  • dandelion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • dandelion code analysis shows 1 unresolved vulnerabilities (1 blocker, 0 critical, 0 major, 0 minor).
  • There are 14 security hotspots that need review.
dandelion Security
Best in #Frontend Framework
Average in #Frontend Framework
dandelion Security
Best in #Frontend Framework
Average in #Frontend Framework

license License

  • dandelion has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
dandelion License
Best in #Frontend Framework
Average in #Frontend Framework
dandelion License
Best in #Frontend Framework
Average in #Frontend Framework

buildReuse

  • dandelion releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • It has 17637 lines of code, 1364 functions and 326 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
dandelion Reuse
Best in #Frontend Framework
Average in #Frontend Framework
dandelion Reuse
Best in #Frontend Framework
Average in #Frontend Framework
Top functions reviewed by kandi - BETA

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

  • Compresses the source text .
    • Checks if the given bundle is valid .
      • Normalize the given filename ignoring all separators .
        • Perform jsmin - min - min JavaScript .
          • Load the user configuration
            • Store the bundles .
              • Initialize the handlers .
                • Gets common page context .
                  • Creates a bundle from manifest .
                    • Filter DELionFilter

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      dandelion Key Features

                      Extensible web framework making web development easier

                      dandelion Examples and Code Snippets

                      See all related Code Snippets

                      ListView builder consuming more spaces than necessary in Autocomplete widget

                      copy iconCopydownload iconDownload
                      ...
                      MediaQuery.removePadding(
                              context: context,
                              removeTop: true,
                              child: ListView(
                      ...
                      

                      the command yarn run build throw errors

                      copy iconCopydownload iconDownload
                       env: {
                          production: {
                            // only: ['app'],
                            only: ['app', 'transversal-administration', 'transversal-translation'],
                            plugins: [
                              'lodash',
                              'transform-react-remove-prop-types',
                              '@babel/plugin-transform-react-inline-elements',
                              '@babel/plugin-transform-react-constant-elements',
                            ],
                          },
                      

                      React - Render children in matching sort order?

                      copy iconCopydownload iconDownload
                          const colors = ['red', 'yellow', 'orange', 'green'];
                          return (
                            <div>
                            <EnhancedLinks>
                              {newOrder.map((name, i) => <div name={name} color={colors[i]}>{name}</div>)}
                            </EnhancedLinks>
                            </div>
                          );
                      
                      export default class EnhancedLinks extends React.Component {
                        render() {
                          return (
                            <div name={this.props.name} color={this.props.color}>
                              {this.props.name}
                            </div>
                          );
                        }
                      }
                      
                      export default class App extends React.Component {
                        render() {
                          const newOrder = [
                            {
                              name: "dandelion",
                              color: "green"
                            },
                            {
                              name: "cantaloupe",
                              color: "orange"
                            },
                            {
                              name: "apple",
                              color: "red"
                            },
                            {
                              name: "banana",
                              color: "yellow"
                            }];
                      
                          return (
                            <div>
                              {newOrder.map((link) => {
                                return <EnhancedLinks {...link} />
                              })}
                            </div>
                          );
                        }
                      }
                      
                      

                      Tkinter change number in multiple labels

                      copy iconCopydownload iconDownload
                      # List of [name, days_left, label], one per flower
                      flowers = []
                      
                      new_row = Label(main_Frame, text=str(row_Num)+"    "+name+"    " + str(days_left))
                      new_row.pack()
                      flowers.append([name, days_left, new_row])
                      
                      def next_day():
                          for i, f in enumerate(flowers):
                              # f is a 3-element list [name, days_left, label]
                              f[1] -= 1
                              name, days_left, label = f
                              label.config(text=str(i+1)+"    "+name+"    " + str(days_left))
                      
                      # List of [name, days_left, label], one per flower
                      flowers = []
                      
                      new_row = Label(main_Frame, text=str(row_Num)+"    "+name+"    " + str(days_left))
                      new_row.pack()
                      flowers.append([name, days_left, new_row])
                      
                      def next_day():
                          for i, f in enumerate(flowers):
                              # f is a 3-element list [name, days_left, label]
                              f[1] -= 1
                              name, days_left, label = f
                              label.config(text=str(i+1)+"    "+name+"    " + str(days_left))
                      
                      # List of [name, days_left, label], one per flower
                      flowers = []
                      
                      new_row = Label(main_Frame, text=str(row_Num)+"    "+name+"    " + str(days_left))
                      new_row.pack()
                      flowers.append([name, days_left, new_row])
                      
                      def next_day():
                          for i, f in enumerate(flowers):
                              # f is a 3-element list [name, days_left, label]
                              f[1] -= 1
                              name, days_left, label = f
                              label.config(text=str(i+1)+"    "+name+"    " + str(days_left))
                      

                      React: integrating a redux reducer to dandelion-pro project

                      copy iconCopydownload iconDownload
                      npm install redux-thunk
                      
                      import { createStore, applyMiddleware } from 'redux';
                      import thunk from 'redux-thunk';
                      import rootReducer from './reducers/index';
                      
                      // Note: this API requires redux@>=3.1.0
                      const store = createStore(rootReducer, applyMiddleware(thunk));
                      
                        import thunk from 'redux-thunk';
                      
                        const middlewares = [sagaMiddleware, routerMiddleware(history), thunk];
                      
                      import createSagaMiddleware from 'redux-saga'
                      
                      const sagaMiddleware = createSagaMiddleware();
                      
                      // after you've created the store then run the root saga
                      sagaMiddleware.run(rootSagas);
                      
                      export function* rootSagas() {
                      
                          try {
                      
                              yield fork(fetchUsersSaga);
                      
                      
                          } catch (error) {
                              console.warn(error);
                          }
                      }
                      
                      import { take, put, call } from "redux-saga/effects";
                      
                      export function* fetchUsersSaga() {
                      
                          while (true) {
                              const action: FetchUser = yield take(FETCH_USER);
                      
                              try {
                      
                                  const response = yield call(usersService.fetchUsersOfProject, { ...paramsPassedToFetchUserFunction })
                      
                                  if (response) {
                                      const { data: { response: { user } } } = response;
                                      yield put(setUser({ user }));
                                  }
                      
                      
                              } catch (error) {
                                  yield put(fetchUser());
                              }
                          }
                      }
                      
                      npm install redux-thunk
                      
                      import { createStore, applyMiddleware } from 'redux';
                      import thunk from 'redux-thunk';
                      import rootReducer from './reducers/index';
                      
                      // Note: this API requires redux@>=3.1.0
                      const store = createStore(rootReducer, applyMiddleware(thunk));
                      
                        import thunk from 'redux-thunk';
                      
                        const middlewares = [sagaMiddleware, routerMiddleware(history), thunk];
                      
                      import createSagaMiddleware from 'redux-saga'
                      
                      const sagaMiddleware = createSagaMiddleware();
                      
                      // after you've created the store then run the root saga
                      sagaMiddleware.run(rootSagas);
                      
                      export function* rootSagas() {
                      
                          try {
                      
                              yield fork(fetchUsersSaga);
                      
                      
                          } catch (error) {
                              console.warn(error);
                          }
                      }
                      
                      import { take, put, call } from "redux-saga/effects";
                      
                      export function* fetchUsersSaga() {
                      
                          while (true) {
                              const action: FetchUser = yield take(FETCH_USER);
                      
                              try {
                      
                                  const response = yield call(usersService.fetchUsersOfProject, { ...paramsPassedToFetchUserFunction })
                      
                                  if (response) {
                                      const { data: { response: { user } } } = response;
                                      yield put(setUser({ user }));
                                  }
                      
                      
                              } catch (error) {
                                  yield put(fetchUser());
                              }
                          }
                      }
                      
                      npm install redux-thunk
                      
                      import { createStore, applyMiddleware } from 'redux';
                      import thunk from 'redux-thunk';
                      import rootReducer from './reducers/index';
                      
                      // Note: this API requires redux@>=3.1.0
                      const store = createStore(rootReducer, applyMiddleware(thunk));
                      
                        import thunk from 'redux-thunk';
                      
                        const middlewares = [sagaMiddleware, routerMiddleware(history), thunk];
                      
                      import createSagaMiddleware from 'redux-saga'
                      
                      const sagaMiddleware = createSagaMiddleware();
                      
                      // after you've created the store then run the root saga
                      sagaMiddleware.run(rootSagas);
                      
                      export function* rootSagas() {
                      
                          try {
                      
                              yield fork(fetchUsersSaga);
                      
                      
                          } catch (error) {
                              console.warn(error);
                          }
                      }
                      
                      import { take, put, call } from "redux-saga/effects";
                      
                      export function* fetchUsersSaga() {
                      
                          while (true) {
                              const action: FetchUser = yield take(FETCH_USER);
                      
                              try {
                      
                                  const response = yield call(usersService.fetchUsersOfProject, { ...paramsPassedToFetchUserFunction })
                      
                                  if (response) {
                                      const { data: { response: { user } } } = response;
                                      yield put(setUser({ user }));
                                  }
                      
                      
                              } catch (error) {
                                  yield put(fetchUser());
                              }
                          }
                      }
                      
                      npm install redux-thunk
                      
                      import { createStore, applyMiddleware } from 'redux';
                      import thunk from 'redux-thunk';
                      import rootReducer from './reducers/index';
                      
                      // Note: this API requires redux@>=3.1.0
                      const store = createStore(rootReducer, applyMiddleware(thunk));
                      
                        import thunk from 'redux-thunk';
                      
                        const middlewares = [sagaMiddleware, routerMiddleware(history), thunk];
                      
                      import createSagaMiddleware from 'redux-saga'
                      
                      const sagaMiddleware = createSagaMiddleware();
                      
                      // after you've created the store then run the root saga
                      sagaMiddleware.run(rootSagas);
                      
                      export function* rootSagas() {
                      
                          try {
                      
                              yield fork(fetchUsersSaga);
                      
                      
                          } catch (error) {
                              console.warn(error);
                          }
                      }
                      
                      import { take, put, call } from "redux-saga/effects";
                      
                      export function* fetchUsersSaga() {
                      
                          while (true) {
                              const action: FetchUser = yield take(FETCH_USER);
                      
                              try {
                      
                                  const response = yield call(usersService.fetchUsersOfProject, { ...paramsPassedToFetchUserFunction })
                      
                                  if (response) {
                                      const { data: { response: { user } } } = response;
                                      yield put(setUser({ user }));
                                  }
                      
                      
                              } catch (error) {
                                  yield put(fetchUser());
                              }
                          }
                      }
                      
                      npm install redux-thunk
                      
                      import { createStore, applyMiddleware } from 'redux';
                      import thunk from 'redux-thunk';
                      import rootReducer from './reducers/index';
                      
                      // Note: this API requires redux@>=3.1.0
                      const store = createStore(rootReducer, applyMiddleware(thunk));
                      
                        import thunk from 'redux-thunk';
                      
                        const middlewares = [sagaMiddleware, routerMiddleware(history), thunk];
                      
                      import createSagaMiddleware from 'redux-saga'
                      
                      const sagaMiddleware = createSagaMiddleware();
                      
                      // after you've created the store then run the root saga
                      sagaMiddleware.run(rootSagas);
                      
                      export function* rootSagas() {
                      
                          try {
                      
                              yield fork(fetchUsersSaga);
                      
                      
                          } catch (error) {
                              console.warn(error);
                          }
                      }
                      
                      import { take, put, call } from "redux-saga/effects";
                      
                      export function* fetchUsersSaga() {
                      
                          while (true) {
                              const action: FetchUser = yield take(FETCH_USER);
                      
                              try {
                      
                                  const response = yield call(usersService.fetchUsersOfProject, { ...paramsPassedToFetchUserFunction })
                      
                                  if (response) {
                                      const { data: { response: { user } } } = response;
                                      yield put(setUser({ user }));
                                  }
                      
                      
                              } catch (error) {
                                  yield put(fetchUser());
                              }
                          }
                      }
                      
                      npm install redux-thunk
                      
                      import { createStore, applyMiddleware } from 'redux';
                      import thunk from 'redux-thunk';
                      import rootReducer from './reducers/index';
                      
                      // Note: this API requires redux@>=3.1.0
                      const store = createStore(rootReducer, applyMiddleware(thunk));
                      
                        import thunk from 'redux-thunk';
                      
                        const middlewares = [sagaMiddleware, routerMiddleware(history), thunk];
                      
                      import createSagaMiddleware from 'redux-saga'
                      
                      const sagaMiddleware = createSagaMiddleware();
                      
                      // after you've created the store then run the root saga
                      sagaMiddleware.run(rootSagas);
                      
                      export function* rootSagas() {
                      
                          try {
                      
                              yield fork(fetchUsersSaga);
                      
                      
                          } catch (error) {
                              console.warn(error);
                          }
                      }
                      
                      import { take, put, call } from "redux-saga/effects";
                      
                      export function* fetchUsersSaga() {
                      
                          while (true) {
                              const action: FetchUser = yield take(FETCH_USER);
                      
                              try {
                      
                                  const response = yield call(usersService.fetchUsersOfProject, { ...paramsPassedToFetchUserFunction })
                      
                                  if (response) {
                                      const { data: { response: { user } } } = response;
                                      yield put(setUser({ user }));
                                  }
                      
                      
                              } catch (error) {
                                  yield put(fetchUser());
                              }
                          }
                      }
                      

                      Unable to run TensorFlow | Load images example (process_path error)

                      copy iconCopydownload iconDownload
                      def get_label(file_path):
                          parts = tf.strings.split(file_path, os.path.sep)
                          bool_values = tf.equal(parts[-2], class_names)
                          indices = tf.where(bool_values)
                          one_hot = tf.one_hot(indices, depth=n_classes)
                          return one_hot
                      
                      import tensorflow as tf
                      
                      x = tf.convert_to_tensor([True, False, False])
                      
                      tf.argmax(x)
                      
                      tf.python.framework.errors_impl.NotFoundError: Could not find valid device for node.
                      Node:{{node ArgMax}}
                      All kernels registered for op ArgMax :
                        device='CPU'; T in [DT_INT64]; output_type in [DT_INT64]
                        device='CPU'; T in [DT_INT64]; output_type in [DT_INT32]
                        device='CPU'; T in [DT_INT32]; output_type in [DT_INT64]
                      
                      def get_label(file_path):
                          parts = tf.strings.split(file_path, os.path.sep)
                          bool_values = tf.equal(parts[-2], class_names)
                          indices = tf.where(bool_values)
                          one_hot = tf.one_hot(indices, depth=n_classes)
                          return one_hot
                      
                      import tensorflow as tf
                      
                      x = tf.convert_to_tensor([True, False, False])
                      
                      tf.argmax(x)
                      
                      tf.python.framework.errors_impl.NotFoundError: Could not find valid device for node.
                      Node:{{node ArgMax}}
                      All kernels registered for op ArgMax :
                        device='CPU'; T in [DT_INT64]; output_type in [DT_INT64]
                        device='CPU'; T in [DT_INT64]; output_type in [DT_INT32]
                        device='CPU'; T in [DT_INT32]; output_type in [DT_INT64]
                      
                      def get_label(file_path):
                          parts = tf.strings.split(file_path, os.path.sep)
                          bool_values = tf.equal(parts[-2], class_names)
                          indices = tf.where(bool_values)
                          one_hot = tf.one_hot(indices, depth=n_classes)
                          return one_hot
                      
                      import tensorflow as tf
                      
                      x = tf.convert_to_tensor([True, False, False])
                      
                      tf.argmax(x)
                      
                      tf.python.framework.errors_impl.NotFoundError: Could not find valid device for node.
                      Node:{{node ArgMax}}
                      All kernels registered for op ArgMax :
                        device='CPU'; T in [DT_INT64]; output_type in [DT_INT64]
                        device='CPU'; T in [DT_INT64]; output_type in [DT_INT32]
                        device='CPU'; T in [DT_INT32]; output_type in [DT_INT64]
                      
                      tf.io.decode_png( contents, channels=0, dtype=tf.dtypes.uint8, name=None)
                      

                      How do we get the highest number in a JSON array?

                      copy iconCopydownload iconDownload
                      const result_predictions = 
                            [ { label: "roses",      prob: 0.0056262025609612465 } 
                            , { label: "daisy",      prob: 0.005660845898091793  } 
                            , { label: "dandelion",  prob: 0.005297524854540825  } 
                            , { label: "tulips",     prob: 0.9730507731437683    } 
                            , { label: "sunflowers", prob: 0.010364603251218796  } 
                            ] 
                             
                      
                      const label_ofMax = result_predictions
                                           .reduce((a,c)=>(a.prob<c.prob)?c:a)
                                           .label
                      
                      console.log( label_ofMax,  )
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const highest = results.sort((a, b) => b.prob - a.prob)[0].label
                      
                      console.log(highest)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const probs = results.map(res => res.prob)
                      const highestProb = Math.max(...probs)
                      const result = results.filter(res => res.prob == highestProb)[0].label
                      
                      console.log(result)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const highest = results.reduce((a, b) => a.prob <= b.prob ? b : a).label
                      
                      console.log(highest)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const highest = results.sort((a, b) => b.prob - a.prob)[0].label
                      
                      console.log(highest)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const probs = results.map(res => res.prob)
                      const highestProb = Math.max(...probs)
                      const result = results.filter(res => res.prob == highestProb)[0].label
                      
                      console.log(result)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const highest = results.reduce((a, b) => a.prob <= b.prob ? b : a).label
                      
                      console.log(highest)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const highest = results.sort((a, b) => b.prob - a.prob)[0].label
                      
                      console.log(highest)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const probs = results.map(res => res.prob)
                      const highestProb = Math.max(...probs)
                      const result = results.filter(res => res.prob == highestProb)[0].label
                      
                      console.log(result)
                      const results = [
                        {
                          "label": "roses",
                          "prob": 0.0056262025609612465
                        },
                        {
                          "label": "daisy",
                          "prob": 0.005660845898091793
                        },
                        {
                          "label": "dandelion",
                          "prob": 0.005297524854540825
                        },
                        {
                          "label": "tulips",
                          "prob": 0.9730507731437683
                        },
                        {
                          "label": "sunflowers",
                          "prob": 0.010364603251218796
                        }
                      ]
                      
                      const highest = results.reduce((a, b) => a.prob <= b.prob ? b : a).label
                      
                      console.log(highest)

                      R: how to increase the distance between label and boxplot

                      copy iconCopydownload iconDownload
                      boxplot(count ~ spray, data=InsectSprays, col="lightgray", xaxt="n")
                      axis(1, axTicks(1), labels=F)
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n", "Dandelion\n", "Eve\n", "Fox\n"), 
                            1, 2, at=axTicks(1))
                      
                      newInsectSprays <- InsectSprays[1:60,]
                      boxplot(count ~ spray, data=transform(newInsectSprays, spray=droplevels(spray)), 
                              col="lightgray", xaxt="n")
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n", "Dandelion\n", "Eve\n"), 
                            1, 2, at=axTicks(1))
                      
                      boxplot(count ~ droplevels(spray), 
                              newInsectSprays[newInsectSprays$spray %in% c("A", "B", "C"), ], 
                              xaxt="n", xlab="spray")
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n"), 1, 2, at=1:3)
                      
                      boxplot(count ~ spray, data=InsectSprays, col="lightgray", xaxt="n")
                      axis(1, axTicks(1), labels=F)
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n", "Dandelion\n", "Eve\n", "Fox\n"), 
                            1, 2, at=axTicks(1))
                      
                      newInsectSprays <- InsectSprays[1:60,]
                      boxplot(count ~ spray, data=transform(newInsectSprays, spray=droplevels(spray)), 
                              col="lightgray", xaxt="n")
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n", "Dandelion\n", "Eve\n"), 
                            1, 2, at=axTicks(1))
                      
                      boxplot(count ~ droplevels(spray), 
                              newInsectSprays[newInsectSprays$spray %in% c("A", "B", "C"), ], 
                              xaxt="n", xlab="spray")
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n"), 1, 2, at=1:3)
                      
                      boxplot(count ~ spray, data=InsectSprays, col="lightgray", xaxt="n")
                      axis(1, axTicks(1), labels=F)
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n", "Dandelion\n", "Eve\n", "Fox\n"), 
                            1, 2, at=axTicks(1))
                      
                      newInsectSprays <- InsectSprays[1:60,]
                      boxplot(count ~ spray, data=transform(newInsectSprays, spray=droplevels(spray)), 
                              col="lightgray", xaxt="n")
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n", "Dandelion\n", "Eve\n"), 
                            1, 2, at=axTicks(1))
                      
                      boxplot(count ~ droplevels(spray), 
                              newInsectSprays[newInsectSprays$spray %in% c("A", "B", "C"), ], 
                              xaxt="n", xlab="spray")
                      mtext(c("Apple\nSauce", "Banana\n", "Candy\n"), 1, 2, at=1:3)
                      

                      how to merge three dictionaries making 1 key have multiple separate list values

                      copy iconCopydownload iconDownload
                      df = pd.DataFrame({list(d.keys())[0]: list(d.values())[0] 
                          for d in list_with_dicts}).T.reset_index()
                      
                      df.columns = ['url', 'column2'] + ['tag' + str(i) for i in range(1, df.shape[1] - 1)]
                      
                      df = pd.DataFrame({list(d.keys())[0]: list(d.values())[0] 
                          for d in list_with_dicts}).T.reset_index()
                      
                      df.columns = ['url', 'column2'] + ['tag' + str(i) for i in range(1, df.shape[1] - 1)]
                      

                      PyQt Save Image from QTableView to SQLite DB using Delegate

                      copy iconCopydownload iconDownload
                      class ImageDelegate(qtw.QStyledItemDelegate):
                          def createEditor(self, parent, option, index):
                              filename, _ = qtw.QFileDialog.getOpenFileName(
                                  parent, caption="Open Print", filter="Image Files (*.png *.jpg *.bmp)"
                              )
                              if filename:
                                  model = index.model()
                                  file = qtc.QFile(filename)
                                  if file.open(qtc.QIODevice.ReadOnly):
                                      model.setData(index, file.readAll(), qtc.Qt.EditRole)
                      
                          def initStyleOption(self, option, index):
                              super().initStyleOption(option, index)
                              pixmap = qtg.QPixmap()
                              if pixmap.loadFromData(index.data(qtc.Qt.EditRole)):
                                  option.features &= ~qtw.QStyleOptionViewItem.HasDisplay
                                  option.text = ""
                                  option.features |= qtw.QStyleOptionViewItem.HasDecoration
                                  option.icon = qtg.QIcon(pixmap)
                                  option.decorationSize = pixmap.size() / pixmap.devicePixelRatio()
                                  option.decorationAlignment = qtc.Qt.AlignCenter
                      

                      See all related Code Snippets

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                      QUESTION

                      ListView builder consuming more spaces than necessary in Autocomplete widget

                      Asked 2021-Oct-03 at 21:20

                      I was looking for a simple textField with suggestion option widget. Found this Sample code from api.flutter.dev. I followed it and for some reason, the ListView builder keeps leaving large amount of space at the beginning of the list build.

                      Switching to RawAutoComplete doesn't work. Switching it into ListView gives the same result. Flutter inspector just skip the section.

                      Here's my code:

                      class First extends StatefulWidget {
                        const First({Key? key}) : super(key: key);
                      
                        @override
                        _FirstState createState() => _FirstState();
                      }
                      
                      class _FirstState extends State<First> {
                        List<String> rise = ["rise","rose","petal","dandelion"];
                        @override
                        Widget build(BuildContext context) {
                          return Scaffold(
                            appBar: AppBar(),
                            body: _first(),
                          );
                        }
                        _first(){
                          return Center(
                            child: Autocomplete<String>(
                              optionsBuilder: (TextEditingValue textController) {
                                if (textController.text == '') {
                                  return rise;
                                }
                                return rise.where((String option) {
                                  return option.contains(textController.text.toLowerCase());
                                });
                              },
                              optionsViewBuilder: (BuildContext context,
                                  AutocompleteOnSelected<String> onSelected,
                                  Iterable<String> options) {
                                return Align(
                                  alignment: Alignment.topLeft,
                                  child: Material(
                                    elevation: 4.0,
                                    child: Container(
                                      width: 400,
                                      color: Colors.blue,
                                      child: ListView.builder(
                                        shrinkWrap: true,
                                       itemCount: rise.length,
                                       itemBuilder: (BuildContext context, index){
                                          return GestureDetector(
                                            onTap: () {
                                              onSelected(rise[index]);
                                            },
                                            child: ListTile(
                                              title: Text(rise[index]),
                                            ),
                                          );
                                       },
                                      ),
                                    ),
                                  ),
                                );
                              },
                              onSelected: (string) {},
                            ),
                          );
                        }
                      }
                      

                      Here's the picture

                      enter image description here

                      Here's the "Show guideline" option of the inspector

                      enter image description here

                      ANSWER

                      Answered 2021-Sep-04 at 15:35

                      https://api.flutter.dev/flutter/widgets/ListView-class.html

                      By default, ListView will automatically pad the list's scrollable extremities to avoid partial obstructions indicated by MediaQuery's padding. To avoid this behavior, override with a zero padding property.

                      So, you can remove top padding of ListView.

                      ...
                      MediaQuery.removePadding(
                              context: context,
                              removeTop: true,
                              child: ListView(
                      ...
                      

                      Source https://stackoverflow.com/questions/69056412

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install dandelion

                      You can download it from GitHub, Maven.
                      You can use dandelion 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 dandelion 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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