tip to question : Afficher les caractéristiques de tous les employés tip to q : Afficher les caractéristiques des départements
SELECT * FROM <TABLE_NAME>| version: "3.9" | |
| services: | |
| prometheus: | |
| image: prom/prometheus:v2.28.1 | |
| volumes: | |
| - ./prometheus.yml:/etc/prometheus/prometheus.yml | |
| cadvisor: | 
| name := "json-api-serializer" | |
| version := "0.1" | |
| scalaVersion := "2.13.6" | |
| idePackagePrefix := Some("that.is.a.test") | |
| libraryDependencies ++= Seq( | |
| "com.typesafe.akka" %% "akka-actor-typed" % "2.6.8", | 
| # When encoutering this issue : | |
| # | |
| # Error starting domain: internal error: /usr/lib/qemu/qemu-bridge-helper --br=br0 --fd=25: failed to | |
| # communicate with bridge helper: Transport endpoint is not connected stderr=failed to parse default | |
| # acl file/etc/qemu/bridge.conf | |
| # | |
| # proceed as follows : | |
| sudo mkdir /etc/qemu | |
| sudo touch /etc/qemu/bridge.conf | |
| sudo chmod u+r /etc/qemu/bridge.conf | 
| from keras.applications import VGG16 | |
| from keras.preprocessing.image import ImageDataGenerator | |
| import subprocess | |
| from keras.models import Sequential | |
| from keras.optimizers import RMSprop | |
| from keras.layers import Flatten, Dropout, Dense | |
| print(subprocess.run("git clone https://github.com/aryapei/In-shop-Clothes-From-Deepfashion.git", shell=True, stdout=subprocess.PIPE).stdout.decode("utf-8")) | |
| conv_base = VGG16(input_shape=(224, 224, 3), weights="imagenet", include_top=False) | 
| package classes | |
| abstract class Lunch() { | |
| def eat(): String = { | |
| "burp." | |
| } | |
| def sugarValue:Double | |
| } | |
| case class Soda(sugarValue:Double = 10.0) extends Lunch | 
| package classes | |
| object ImplicitClassSuperRichString { | |
| implicit class SuperRichString(in:String) { | |
| def world:String = in+", world" | |
| } | |
| def main(args: Array[String]): Unit = { | |
| println("Hello" world) | |
| println("Goodnight" world) | |
| } | 
| $(document).ready(function() { | |
| let clique = true | |
| let secondes = 10 | |
| $('body').on('click', function() { | |
| clique = true; | |
| }) | |
| setInterval(function () { | |
| if (clique == true) { | |
| clique = false | |
| } else { | 
| function LD = descendants (Pred, x) | |
| count = length(Pred) | |
| LD = [] | |
| for k=1:count | |
| if (find(chemin_arbre(Pred, k)==x)~=[]) then | |
| LD = [LD, k] | |
| end | |
| end | |
| endfunction | 
| // desc : retourne une matrice adjacence sous forme de matrice d'incidence. | |
| // input : matrice d'adjacence (M) | |
| // output : matrice d'incidence (res) | |
| function res = adja2incidence(M) // soucis : les boucles ne sont pas notées | |
| [S, T] = mat2listes(M) | |
| res =zeros(length(T), length(S)-1) | |
| for k=1:size(M, 1) // on marque tout les arcs rentrant dans le sommet | |
| res(k, predecesseurs(M,k)) = -1 | |
| end | |
| for k=1:size(M, 1) // on marque tout les arcs sortant du sommet |