251 lines
6.9 KiB
Python
Executable file
251 lines
6.9 KiB
Python
Executable file
#!/usr/bin/python3
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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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Re: AW: Studierendenabfrage
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von: Prüfungsverwaltung
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---------
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English-only version at cc.ifsr.de/en, this page is bilingual.
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Eine nur auf deutsch formulierte Variante ist unter cc.ifsr.de/de
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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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immer mit automatisch erstellter englischer Überstzung.
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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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=== ENGLISCH VERSION ===
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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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always with the auto-generated english translation.
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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.: (Erst|Zweit)versuch would select both words:
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'Erstversuch' (first attempt) and 'Zweitversuch' (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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""", "de": """
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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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""", "en": """
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Re: AW: Student data request
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von: 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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# fünf Tatverdächtige
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# Uhrzeiten, siehe Infos von Verantwortlichen
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# Groß-Klein-Schreibung
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date = "05.06.2024"
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hidden_data = [
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"Anna Bartel: Zweitversuch nicht bestanden.\n"
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"Anna Bartel: second attempt not passed.",
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"Boris Parsch: Zweitversuch nicht bestanden.\n"
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"Boris Parsch: second attempt not passed.",
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"Charlotte Winter: 2. Versuch nicht bestanden.\n"
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"Charlotte Winter: 2nd attempt not passed.",
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"Dennis Meier: 2. Versuch nicht bestanden.\n"
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"Dennis Meier: 2nd attempt not passed.",
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"Elisa Menniz: Zweitversuch nicht bestanden.\n"
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"Elisa Menniz: second attempt not passed.",
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f"Anna Bartel: Prüfung am {date} um 13:00.\n"
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f"Anna Bartel: exam on {date}, 13:00.",
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f"Boris Parsch: Prüfung am {date} um 14:00.\n"
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f"Boris Parsch: exam on {date}, 14:00.",
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f"Charlotte Winter: Prüfung am {date} um 13:30.\n"
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f"Charlotte Winter: exam on {date}, 13:30.",
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f"Dennis Meier: Prüfung am {date} um 10:00.\n"
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f"Dennis Meier: exam on {date}, 10:00.",
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f"Elisa Menniz: Prüfung am {date} um 14:30.\n"
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f"Elisa Menniz: exam on {date}, 14:30.",
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f"Anna Bartel: blaue Augen.\n"
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f"Anna Bartel: blue eyes.",
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f"Boris Parsch: blaue Augen.\n"
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f"Boris Parsch: blue eyes.",
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f"Charlotte Winter: blaue Augen.\n"
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f"Charlotte Winter: blue eyes.",
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f"Dennis Meier: grüne Augen.\n"
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f"Dennis Meier: green eyes.",
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f"Elisa Menniz: grüne Augen.\n"
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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 am {date} um ", f": exam on {date}, ")],
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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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def generate_text(number_of_lines = 200, language = None):
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""" language can be None (both), "en" or "de".
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"""
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local_hidden_data = hidden_data[:]
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do_german = not language or language == "de"
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do_english = not language or language == "en"
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result = ""
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for i in range(number_of_lines):
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emissions, _ = network.choose()
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german = ""
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english = ""
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for emission in emissions:
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match emission:
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case (ger, eng):
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german += ger
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english += eng
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case both:
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german += both
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english += both
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if do_german: result += german + "\n"
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if do_english: result += english + "\n"
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if random() < len(local_hidden_data) / (number_of_lines - i):
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index = randint(0, len(local_hidden_data) - 1)
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hidden_line = local_hidden_data.pop(index)
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german, english = hidden_line.split("\n")
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if do_german: result += german + "\n"
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if do_english: result += english + "\n"
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return result
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def read_template(filename = "./template.html"):
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with open(filename, "r") as file:
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return file.read()
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def write_index(text, filename = "./deploy/index.html"):
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with open(filename, "w") as file:
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file.write(text)
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def main():
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template = read_template()
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for language in ["de", "en"]:
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generated = generate_text(language = language)
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generated = greeting[language] + "\n" + generated
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text = template.replace("<replace with text>", generated)
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write_index(text, filename = f"./deploy/{language}/index.html")
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if __name__ == "__main__":
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main()
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