Initial code commit
This commit is contained in:
commit
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# Created by https://www.gitignore.io/api/python
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# Edit at https://www.gitignore.io/?templates=python
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### Python ###
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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||||
parts/
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sdist/
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var/
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wheels/
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||||
pip-wheel-metadata/
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share/python-wheels/
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||||
*.egg-info/
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.installed.cfg
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||||
*.egg
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MANIFEST
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||||
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||||
# PyInstaller
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||||
# Usually these files are written by a python script from a template
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||||
# before PyInstaller builds the exe, so as to inject date/other infos into it.
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||||
*.manifest
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||||
*.spec
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||||
|
||||
# Installer logs
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||||
pip-log.txt
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pip-delete-this-directory.txt
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||||
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||||
# Unit test / coverage reports
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||||
htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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||||
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||||
# Translations
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||||
*.mo
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*.pot
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||||
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# Scrapy stuff:
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.scrapy
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||||
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||||
# Sphinx documentation
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||||
docs/_build/
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||||
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||||
# PyBuilder
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target/
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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||||
# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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||||
#Pipfile.lock
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||||
|
||||
# celery beat schedule file
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||||
celerybeat-schedule
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||||
|
||||
# SageMath parsed files
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||||
*.sage.py
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||||
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||||
# Spyder project settings
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||||
.spyderproject
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||||
.spyproject
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||||
|
||||
# Rope project settings
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||||
.ropeproject
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# Mr Developer
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.mr.developer.cfg
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||||
.project
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.pydevproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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||||
.pyre/
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# End of https://www.gitignore.io/api/python
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# save
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save.json
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@ -0,0 +1,21 @@
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The MIT License (MIT)
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Copyright (c) 2020 Robert 'khuxkm' Miles, https://khuxkm.tilde.team <khuxkm@tilde.team>
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
|
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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# PearlyGates
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A game about heaven and hell, where you get to be the scales of morality.
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## How to play?
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Download the repo, and run `main.py` in your Python interpreter of choice. Be
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sure to install the `tracery` library, which is required for the name generator.
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## How to contribute?
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For the most part, the code in `person.py` is self-explanatory. For example:
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- To add a trait, add an entry to `TRAITS`.
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- To add a set of traits you cannot have at the same time (like misogynist and feminist), add an entry to `EXCLUSIONARY_TRAITS` (see comment above definition).
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- To change the average life expectancy, change `AVERAGE_LIFE_EXPECTANCY`.
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The rest of the code may be poorly commented. Sorry, other coders (and future me).
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import person, json, random
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# save file defaults
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SAVE = dict(
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most_holy=dict(),
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most_sinful=dict(),
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last_20_holy_ages=[],
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last_20_sinful_ages=[],
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holy=0,
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sinful=0,
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intro=False,
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day=1
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)
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try:
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with open("save.json") as f:
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# load save file
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savefile = json.load(f)
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# if a key is missing from the save file it'll be set to the default automatically
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SAVE.update(savefile)
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except: pass
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# convenience functions
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next_person = lambda: person.Person.generate()
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avg = lambda l: sum(l)/len(l)
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print("Welcome to PearlyGates!")
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if not SAVE["intro"]:
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# display story intro fragment
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print()
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print("Saint Peter has retired, and has left you in charge of the gate to heaven.")
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print("Rather than being held to any standard, you are given full freedom to send")
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print("people to heaven or hell based on your arbitrary guidelines.")
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print()
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print("So, let's begin!")
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# don't show it on next startup
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SAVE["intro"]=True
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running=True
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while running:
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print("It is day {!s}.".format(SAVE["day"]))
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print("Would you like to:")
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print("1) See the dead people?")
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print("2) See stats")
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print("3) Quit")
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choice = None
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while choice is None:
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try:
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choice = int(input("? ").strip())
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assert choice in (1,2,3)
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except:
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print("Choose 1, 2, or 3.")
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choice=None
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if choice==2: # stats
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print("Stats:")
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print("-"*80)
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print("Amount of people sent to heaven all-time: {!s}".format(SAVE["holy"]))
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print("Average age of holy person (over last 20): {!s}".format(avg(SAVE["last_20_holy_ages"])))
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print("Top 5 most common holy traits:")
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# get all traits of people marked "holy"
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holy_traits = list(SAVE["most_holy"].items())
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# sort by occurrences descending
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holy_traits.sort(key=lambda x: -x[1])
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# display top 5
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for trait, count in holy_traits[:5]:
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print(f" - {trait} ({count!s})")
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print("-"*80)
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print("Amount of people sent to hell all-time: {!s}".format(SAVE["sinful"]))
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print("Average age of sinful person (over last 20): {!s}".format(avg(SAVE["last_20_sinful_ages"])))
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print("Top 5 most common sinful traits:")
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# get all traits of people marked "sinful"
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sinful_traits = list(SAVE["most_sinful"].items())
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# sort by occurences descending
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sinful_traits.sort(key=lambda x: -x[1])
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# show top 5
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for trait, count in sinful_traits[:5]:
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print(f" - {trait} ({count!s})")
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print("-"*80)
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elif choice==3:
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print("Goodbye!")
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running = False
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else:
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for i in range(random.randint(7,13)):
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# get new person and show summary
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p = next_person()
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print(p.toString())
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print("Send them to:")
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print("1) Heaven")
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print("2) Hell")
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choice = None
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while choice is None:
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try:
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choice = int(input("? ").strip())
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assert choice in (1,2)
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except:
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print("Choose 1 or 2.")
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choice=None
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if choice==1: # heaven
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print(p.pronoun,"smile"+('' if p.pronoun=="They" else "s"),"at you as",p.pronoun.lower(),"enter"+('' if p.pronoun=="They" else "s")+" the pearly gates.")
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# update stats
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SAVE["holy"]+=1
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SAVE["last_20_holy_ages"]=(SAVE["last_20_holy_ages"]+[p.age])[-20:]
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for trait in p.traits:
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if trait not in SAVE["most_holy"]:
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SAVE["most_holy"][trait]=1
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else:
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SAVE["most_holy"][trait]+=1
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else:
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print(p.pronoun,"scream"+('' if p.pronoun=="They" else "s"),"as",p.pronoun.lower(),"fall"+('' if p.pronoun=="They" else "s")+" into the depths of hell.")
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# update stats
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SAVE["sinful"]+=1
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SAVE["last_20_sinful_ages"]=(SAVE["last_20_sinful_ages"]+[p.age])[-20:]
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for trait in p.traits:
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if trait not in SAVE["most_sinful"]:
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SAVE["most_sinful"][trait]=1
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else:
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SAVE["most_sinful"][trait]+=1
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# dawn of the next day
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SAVE["day"]+=1
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with open("save.json","w") as f:
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json.dump(SAVE,f)
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{
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"first_name_male": ["James","John","Robert","Michael","William","David","Richard","Charles","Joseph","Thomas","Christopher","Daniel","Paul","Mark","Donald","George","Kenneth","Steven","Edward","Brian","Ronald","Anthony","Kevin","Jason","Matthew","Gary","Timothy","Jose","Larry","Jeffrey","Frank","Scott","Eric","Stephen","Andrew","Raymond","Gregory","Joshua","Jerry","Dennis","Walter","Patrick","Peter","Harold","Douglas","Henry","Carl","Arthur","Ryan","Roger","Joe","Juan","Jack","Albert","Jonathan","Justin","Terry","Gerald","Keith","Samuel","Willie","Ralph","Lawrence","Nicholas","Roy","Benjamin","Bruce","Brandon","Adam","Harry","Fred","Wayne","Billy","Steve","Louis","Jeremy","Aaron","Randy","Howard","Eugene","Carlos","Russell","Bobby","Victor","Martin","Ernest","Phillip","Todd","Jesse","Craig","Alan","Shawn","Clarence","Sean","Philip","Chris","Johnny","Earl","Jimmy","Antonio"],
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"first_name_female": ["Mary","Patricia","Linda","Barbara","Elizabeth","Jennifer","Maria","Susan","Margaret","Dorothy","Lisa","Nancy","Karen","Betty","Helen","Sandra","Donna","Carol","Ruth","Sharon","Michelle","Laura","Sarah","Kimberly","Deborah","Jessica","Shirley","Cynthia","Angela","Melissa","Brenda","Amy","Anna","Rebecca","Virginia","Kathleen","Pamela","Martha","Debra","Amanda","Stephanie","Carolyn","Christine","Marie","Janet","Catherine","Frances","Ann","Joyce","Diane","Alice","Julie","Heather","Teresa","Doris","Gloria","Evelyn","Jean","Cheryl","Mildred","Katherine","Joan","Ashley","Judith","Rose","Janice","Kelly","Nicole","Judy","Christina","Kathy","Theresa","Beverly","Denise","Tammy","Irene","Jane","Lori","Rachel","Marilyn","Andrea","Kathryn","Louise","Sara","Anne","Jacqueline","Wanda","Bonnie","Julia","Ruby","Lois","Tina","Phyllis","Norma","Paula","Diana","Annie","Lillian","Emily","Robin"],
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"first_name": ["#first_name_male#","#first_name_female#"],
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"lastname": ["Smith","Johnson","Williams","Brown","Jones","Miller","Davis","Garcia","Rodriguez","Wilson","Martinez","Anderson","Taylor","Thomas","Hernandez","Moore","Martin","Jackson","Thompson","White","Lopez","Lee","Gonzalez","Harris","Clark","Lewis","Robinson","Walker","Perez","Hall","Young","Allen","Sanchez","Wright","King","Scott","Green","Baker","Adams","Nelson","Hill","Ramirez","Campbell","Mitchell","Roberts","Carter","Phillips","Evans","Turner","Torres","Parker","Collins","Edwards","Stewart","Flores","Morris","Nguyen","Murphy","Rivera","Cook","Rogers","Morgan","Peterson","Cooper","Reed","Bailey","Bell","Gomez","Kelly","Howard","Ward","Cox","Diaz","Richardson","Wood","Watson","Brooks","Bennett","Gray","James","Reyes","Cruz","Hughes","Price","Myers","Long","Foster","Sanders","Ross","Morales","Powell","Sullivan","Russell","Ortiz","Jenkins","Gutierrez","Perry","Butler","Barnes","Fisher","Henderson","Coleman","Simmons","Patterson","Jordan","Reynolds","Hamilton","Graham","Kim","Gonzales","Alexander","Ramos","Wallace","Griffin","West","Cole","Hayes","Chavez","Gibson","Bryant","Ellis","Stevens","Murray","Ford","Marshall","Owens","Harrison","Ruiz","Kennedy","Wells","Alvarez","Woods","Mendoza","Castillo","Olson","Webb","Washington","Tucker","Freeman","Burns","Henry","Vasquez","Snyder","Simpson","Crawford","Jimenez","Porter","Mason","Shaw","Gordon","Wagner","Hunter","Romero","Hicks","Dixon","Hunt","Palmer","Robertson","Black","Holmes","Stone","Meyer","Boyd","Mills","Warren","Fox","Rose","Rice","Moreno","Schmidt","Patel","Ferguson","Nichols","Herrera","Medina","Ryan","Fernandez","Weaver","Daniels","Stephens","Gardner","Payne","Kelley","Dunn","Pierce","Arnold","Tran","Spencer","Peters","Hawkins","Grant","Hansen","Castro","Hoffman","Hart","Elliott","Cunningham","Knight","Bradley"],
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"stereotypical_male_name": ["#first_name_male# #lastname#"],
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"stereotypical_female_name": ["#first_name_female# #lastname#"],
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"random_name": ["#first_name# #lastname#"]
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}
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import tracery, json, sys, random, traceback, math
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# name generator
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NAMES = None
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try:
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with open("name.json") as f: NAMES = tracery.Grammar(json.load(f))
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except Exception as e:
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if type(e)==FileNotFoundError:
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print("ERROR! name.json not found!",file=sys.stderr)
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print("Download `name.json` and place it in the same folder as `person.py`.",file=sys.stderr)
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traceback.print_exc()
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sys.exit(-1)
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# traits list
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TRAITS = """Transgender
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Homosexual
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Christian
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Muslim
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Hindu
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Jewish
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Plays video games
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Is a jerk to service workers (cashiers, waiters, etc)
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Is nice to service workers (cashiers, waiters, etc)
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Kicks puppies
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Might be a nazi?
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Racist
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Misogynist
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Feminist
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Bigoted
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Died rich
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Died poor""".splitlines()
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# list of traits you can't have together
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# if a person is generated with more than one of the traits in a tuple,
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# they will reroll all but one of those traits
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EXCLUSIONARY_TRAITS = [
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("Hindu","Jewish","Muslim"),
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("Is a jerk to service workers (cashiers, waiters, etc)","Is nice to service workers (cashiers, waiters, etc)"),
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("Died rich","Died poor"),
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("Misogynist","Feminist")
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]
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# average life expectancy
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# according to the UN, world life expectancy was ~72.6 in 2019, so we'll go with that
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AVERAGE_LIFE_EXPECTANCY=72.6
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# pronouns list
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# male uses he/him, female uses she/her, and non-binary can use any pronoun in the list below
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PRONOUNS = """He
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She
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They
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Ze
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Xe
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Ve
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Vi""".splitlines()
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class Person:
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GENDER_DESCRIPTORS = ["Male","Female","Non-binary"]
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def __init__(self,name,age,gender=0,traits=["Boring"]):
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self.name=name
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self.age=age
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self.gender=gender
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self.traits=traits
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# force gender-specific pronouns on binary genders
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if self.gender==0:
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self.pronoun="He"
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elif self.gender==1:
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self.pronoun="She"
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elif self.gender==2:
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# non-binary people get to have whatever pronoun they desire from the list
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self.pronoun=random.choice(PRONOUNS)
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def toString(self):
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# change gender number to gender descriptor
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gender = self.GENDER_DESCRIPTORS[self.gender]
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out=""
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out+=(f"{self.name}, {self.age}\n")
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out+=(f"Gender: {gender}\n")
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c = len(self.traits)
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out+=(f"Traits: ({c!s})\n")
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for trait in self.traits:
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out+=(f" - {trait}\n")
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return out.strip()
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def __str__(self):
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return self.toString()
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@classmethod
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def generate(cls):
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# pick a random gender
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gender = random.randint(0,len(cls.GENDER_DESCRIPTORS)-1)
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tag = "random_name"
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# ~67% chance name is guaranteed to be stereotypical of gender if gender in binary
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if gender==0:
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tag = random.choice(["stereotypical_male_name","stereotypical_male_name","random_name"])
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elif gender==1:
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tag = random.choice(["stereotypical_female_name","stereotypical_female_name","random_name"])
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# generate name from tracery grammar
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name = NAMES.flatten("#"+tag+"#")
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# pick age, skewed towards average life expectancy
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age = random.choice([math.floor,math.ceil])(random.triangular(5,100,AVERAGE_LIFE_EXPECTANCY))
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# pick 3-7 random traits
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traits = [random.choice(TRAITS) for i in range(random.randint(3,7))]
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check = True
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while check:
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check = False
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for trait_exc in EXCLUSIONARY_TRAITS:
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# indexes of conflicting traits
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ind = [i for i, c in enumerate(traits) if c in trait_exc]
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# if person doesn't have anything in the list, go to next
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if not ind: continue
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ind.pop(0) # keep first rolled trait
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if ind: # more than one?
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for i in ind:
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# reroll
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traits[i]=random.choice(TRAITS)
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check = True # check for conflicting traits again
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# don't allow duplicates
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c = len(traits) # length before
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traits = list(set(traits)) # remove duplicates
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while len(traits)<c: # if the list had duplicates
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||||
check = True # make sure to check again after you...
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||||
traits.append(random.choice(TRAITS)) # ...add new traits
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# return object
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return cls(name,age,gender,traits)
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|
|
@ -0,0 +1 @@
|
|||
tracery>=0.1.1
|
||||
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