Added Jenkinsfile
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commit
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25
Jenkinsfile
vendored
Normal file
25
Jenkinsfile
vendored
Normal file
@ -0,0 +1,25 @@
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node {
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stage('Preparation') {
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properties([
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parameters([
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string(
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defaultValue: 'Hello World!',
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description: 'Tekst do wyświetlenie',
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name: 'INPUT_TEXT',
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trim: false
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)
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])
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])
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}
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stage('Hello') {
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//Wypisz wartość parametru w konsoli (To nie jest polecenie bash, tylko groovy!)
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echo "INPUT_TEXT: ${INPUT_TEXT}"
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//Wywołaj w konsoli komendę "figlet", która generuje ASCI-art
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sh "figlet \"${INPUT_TEXT}\" | tee output.txt"
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}
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stage('Goodbye') {
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echo 'Goodbye!'
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//Zarchiwizuj wynik
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archiveArtifacts 'output.txt'
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}
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}
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2
main.py
2
main.py
@ -27,7 +27,9 @@ print("Odchylenie standardowe BMI - łącznie:", dataset["BMI"].std())
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print("Mediana BMI:", dataset_test["BMI"].median())
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print("Mediana BMI:", dataset_test["BMI"].median())
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max_bmi = dataset_train["BMI"].max()
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max_bmi = dataset_train["BMI"].max()
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print(max_bmi)
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print(max_bmi)
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dataset_train["BMI"] = dataset_train["BMI"].apply(lambda x: x/max_bmi)
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dataset_train["BMI"] = dataset_train["BMI"].apply(lambda x: x/max_bmi)
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dataset_test["BMI"] = dataset_test["BMI"].apply(lambda x: x/max_bmi)
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dataset_test["BMI"] = dataset_test["BMI"].apply(lambda x: x/max_bmi)
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print(dataset_train["AgeCategory"].value_counts())
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print(dataset_train["BMI"])
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print(dataset_train["BMI"])
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