move data for concrete riddle into extra .py file
This commit is contained in:
AntonObersteiner
parent
69cea5b644
commit
d275334cbb
159
crime_campus_exam_data.py
Normal file
159
crime_campus_exam_data.py
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@ -0,0 +1,159 @@
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from choice_network import Choice, FixedText, RandInt, Network
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def get_names(filename, pad = " "):
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lines = []
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with open(filename) as file:
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lines = file.read().split("\n")
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names = [
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name + pad
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for name in lines
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if len(name) > 1
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]
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return names
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greeting = (
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"""
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Re: AW: Studierendenabfrage
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von: Prüfungsverwaltung
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---------
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Hallo,
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Zur angefragten Prüfung gibt es leider noch keine Datenbank,
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daher unten angefügt unsere Notizen aus Prüfungsakten und Personendatenbank.
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Vielleicht können Sie die ja mit regulären Ausdrücken filtern.
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Das funktioniert wie normale Text-Suche, nur etwas flexibler:
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(Erst|Zweit)versuch z.B. würde sowohl 'Erstversuch'
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als auch 'Zweitversuch' markieren.
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.* akzeptiert alle Zeichen, das können Sie an die 'Expression'
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(oben auf der Seite) vorn anfügen,
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um im Menü 'List' unten rechts den Anfang der Zeile zu sehen.
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Sie sollten etwa 5 Studierende finden.
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Viel Spaß
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""", """
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Re: AW: Student data request
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from: Exam management
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---------
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Hi,
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there is no database for this exam, so I added our digitized notes below.
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Maybe you can filter it with regular expressions?
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They are like normal text-search but more flexible:
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E.g.: /(first|second) attempt/ would select both:
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'first attempt' and 'second attempt'.
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.* will accept any text, you can add it at the start of the expression
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(top of page) to see the whole line in the menu 'List' (bottom right).
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You should find approximately 5 students.
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Good Luck
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""")
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hidden_data = [
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("Anna Bartel: Zweitversuch nicht bestanden.",
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"Anna Bartel: second attempt not passed."),
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("Boris Parsch: Zweitversuch nicht bestanden.",
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"Boris Parsch: second attempt not passed."),
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("Charlotte Winter: 2. Versuch nicht bestanden.",
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"Charlotte Winter: 2nd attempt not passed."),
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("Dennis Meier: 2. Versuch nicht bestanden.",
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"Dennis Meier: 2nd attempt not passed."),
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("Elisa Menniz: Zweitversuch nicht bestanden.",
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"Elisa Menniz: second attempt not passed."),
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(f"Anna Bartel: Prüfung um 13:00.",
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f"Anna Bartel: exam, 13:00."),
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(f"Boris Parsch: Prüfung um 14:00.",
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f"Boris Parsch: exam, 14:00."),
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(f"Charlotte Winter: Prüfung um 13:30.",
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f"Charlotte Winter: exam, 13:30."),
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(f"Dennis Meier: Prüfung um 10:00.",
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f"Dennis Meier: exam, 10:00."),
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(f"Elisa Menniz: Prüfung um 14:30.",
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f"Elisa Menniz: exam, 14:30."),
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(f"Anna Bartel: blaue Augen.",
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f"Anna Bartel: blue eyes."),
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(f"Boris Parsch: blaue Augen.",
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f"Boris Parsch: blue eyes."),
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(f"Charlotte Winter: blaue Augen.",
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f"Charlotte Winter: blue eyes."),
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(f"Dennis Meier: grüne Augen.",
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f"Dennis Meier: green eyes."),
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(f"Elisa Menniz: grüne Augen.",
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f"Elisa Menniz: green eyes."),
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]
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network = Network(
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start = Choice(
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student = [""],
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),
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student = Choice(
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last_name = get_names("vornamen.csv"),
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),
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last_name = Choice(
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student_mit = get_names("nachnamen.csv", pad = ""),
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),
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student_mit = Choice(
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hat_den = [""],
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),
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hat_den = Choice(
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versuch = [": ",],
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prüfungszeit = [(f": Prüfung um ", f": exam, ")],
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augenfarbe = [": ",],
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),
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augenfarbe = Choice(
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augen = [
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("grüne ", "green "),
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("braune ", "brown "),
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("blaue ", "blue "),
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],
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),
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augen = FixedText(
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stop = ("Augen.", "eyes."),
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),
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prüfungszeit = Choice(
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uhr = [
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"09:00",
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"09:30",
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"10:00",
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"10:30",
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"11:00",
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"11:30",
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"12:00",
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"12:30",
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"13:00",
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"13:30",
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"14:00",
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"14:30",
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"15:00",
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"15:30",
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],
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),
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uhr = FixedText(
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stop = (" Uhr.", "."),
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),
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versuch = Choice(
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nicht = [
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("Erstversuch ", "first attempt "),
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("1. Versuch ", "1st attempt "),
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],
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bestanden = [
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("Erstversuch ", "first attempt "),
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("1. Versuch ", "1st attempt "),
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("Zweitversuch ", "second attempt "),
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("2. Versuch ", "2nd attempt "),
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],
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),
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nicht = Choice(
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bestanden = [
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("nicht ", "not "),
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""
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],
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),
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bestanden = FixedText(
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stop = ("bestanden.", "passed."),
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),
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)
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158
generate.py
158
generate.py
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@ -2,163 +2,7 @@
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from random import randint, random, choice
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from choice_network import Choice, FixedText, RandInt, Network
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def get_names(filename, pad = " "):
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lines = []
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with open(filename) as file:
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lines = file.read().split("\n")
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names = [
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name + pad
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for name in lines
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if len(name) > 1
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]
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return names
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greeting = (
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"""
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Re: AW: Studierendenabfrage
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von: Prüfungsverwaltung
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---------
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Hallo,
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Zur angefragten Prüfung gibt es leider noch keine Datenbank,
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daher unten angefügt unsere Notizen aus Prüfungsakten und Personendatenbank.
|
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Vielleicht können Sie die ja mit regulären Ausdrücken filtern.
|
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Das funktioniert wie normale Text-Suche, nur etwas flexibler:
|
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(Erst|Zweit)versuch z.B. würde sowohl 'Erstversuch'
|
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als auch 'Zweitversuch' markieren.
|
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.* akzeptiert alle Zeichen, das können Sie an die 'Expression'
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(oben auf der Seite) vorn anfügen,
|
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um im Menü 'List' unten rechts den Anfang der Zeile zu sehen.
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Sie sollten etwa 5 Studierende finden.
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Viel Spaß
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""", """
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Re: AW: Student data request
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from: Exam management
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---------
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Hi,
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there is no database for this exam, so I added our digitized notes below.
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Maybe you can filter it with regular expressions?
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They are like normal text-search but more flexible:
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E.g.: /(first|second) attempt/ would select both:
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'first attempt' and 'second attempt'.
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.* will accept any text, you can add it at the start of the expression
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(top of page) to see the whole line in the menu 'List' (bottom right).
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You should find approximately 5 students.
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Good Luck
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""")
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hidden_data = [
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("Anna Bartel: Zweitversuch nicht bestanden.",
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"Anna Bartel: second attempt not passed."),
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("Boris Parsch: Zweitversuch nicht bestanden.",
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"Boris Parsch: second attempt not passed."),
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("Charlotte Winter: 2. Versuch nicht bestanden.",
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"Charlotte Winter: 2nd attempt not passed."),
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("Dennis Meier: 2. Versuch nicht bestanden.",
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"Dennis Meier: 2nd attempt not passed."),
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("Elisa Menniz: Zweitversuch nicht bestanden.",
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"Elisa Menniz: second attempt not passed."),
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(f"Anna Bartel: Prüfung um 13:00.",
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f"Anna Bartel: exam, 13:00."),
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(f"Boris Parsch: Prüfung um 14:00.",
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f"Boris Parsch: exam, 14:00."),
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(f"Charlotte Winter: Prüfung um 13:30.",
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f"Charlotte Winter: exam, 13:30."),
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(f"Dennis Meier: Prüfung um 10:00.",
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f"Dennis Meier: exam, 10:00."),
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(f"Elisa Menniz: Prüfung um 14:30.",
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f"Elisa Menniz: exam, 14:30."),
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(f"Anna Bartel: blaue Augen.",
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f"Anna Bartel: blue eyes."),
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(f"Boris Parsch: blaue Augen.",
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f"Boris Parsch: blue eyes."),
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(f"Charlotte Winter: blaue Augen.",
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f"Charlotte Winter: blue eyes."),
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(f"Dennis Meier: grüne Augen.",
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f"Dennis Meier: green eyes."),
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(f"Elisa Menniz: grüne Augen.",
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f"Elisa Menniz: green eyes."),
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]
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network = Network(
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start = Choice(
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student = [""],
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),
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student = Choice(
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last_name = get_names("vornamen.csv"),
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),
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last_name = Choice(
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student_mit = get_names("nachnamen.csv", pad = ""),
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),
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student_mit = Choice(
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hat_den = [""],
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),
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hat_den = Choice(
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versuch = [": ",],
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prüfungszeit = [(f": Prüfung um ", f": exam, ")],
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augenfarbe = [": ",],
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),
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augenfarbe = Choice(
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augen = [
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("grüne ", "green "),
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("braune ", "brown "),
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("blaue ", "blue "),
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],
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),
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augen = FixedText(
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stop = ("Augen.", "eyes."),
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),
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prüfungszeit = Choice(
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uhr = [
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"09:00",
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"09:30",
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"10:00",
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"10:30",
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"11:00",
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"11:30",
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"12:00",
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"12:30",
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"13:00",
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"13:30",
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"14:00",
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"14:30",
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"15:00",
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"15:30",
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],
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),
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uhr = FixedText(
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stop = (" Uhr.", "."),
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),
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versuch = Choice(
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nicht = [
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("Erstversuch ", "first attempt "),
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("1. Versuch ", "1st attempt "),
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],
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bestanden = [
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("Erstversuch ", "first attempt "),
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("1. Versuch ", "1st attempt "),
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("Zweitversuch ", "second attempt "),
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("2. Versuch ", "2nd attempt "),
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],
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),
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nicht = Choice(
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bestanden = [
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("nicht ", "not "),
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""
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],
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),
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bestanden = FixedText(
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stop = ("bestanden.", "passed."),
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),
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)
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from crime_campus_exam_data import greeting, network, hidden_data
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def resolve_language(text, language):
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if isinstance(text, str):
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