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feat: backend FastAPI funcional con auth, ETA y simulador

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hack_21031301_c761d3
2026-05-22 14:42:02 -06:00
parent 53255cfc3a
commit 935380290f
3271 changed files with 736013 additions and 0 deletions
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from datetime import datetime, timedelta
from jose import JWTError, jwt
from passlib.context import CryptContext
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from sqlalchemy.orm import Session
from database import get_db
import models
SECRET_KEY = "hackonlinces2026supersecretkey"
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 60
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="auth/login")
def hash_password(password: str):
return pwd_context.hash(password)
def verify_password(plain: str, hashed: str):
return pwd_context.verify(plain, hashed)
def create_token(data: dict):
to_encode = data.copy()
expire = datetime.utcnow() + timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
to_encode.update({"exp": expire})
return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
def get_current_user(token: str = Depends(oauth2_scheme), db: Session = Depends(get_db)):
try:
payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
email = payload.get("sub")
if email is None:
raise HTTPException(status_code=401, detail="Token inválido")
except JWTError:
raise HTTPException(status_code=401, detail="Token inválido")
user = db.query(models.Usuario).filter(models.Usuario.email == email).first()
if not user:
raise HTTPException(status_code=401, detail="Usuario no encontrado")
return user

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backend/data/colonias-rutas.json Normal file
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[
{ "colonia": "Zona Centro", "routeId": "RUTA-01", "horarioEstimado": "Matutino (06:30 - 07:15)" },
{ "colonia": "Las Arboledas", "routeId": "RUTA-01", "horarioEstimado": "Matutino (07:00 - 07:30)" },
{ "colonia": "Trojes", "routeId": "RUTA-13", "horarioEstimado": "Matutino (06:40 - 07:10)" },
{ "colonia": "San Juanico", "routeId": "RUTA-03", "horarioEstimado": "Matutino (06:45 - 07:15)" },
{ "colonia": "Los Olivos", "routeId": "RUTA-04", "horarioEstimado": "Matutino (07:00 - 07:40)" },
{ "colonia": "Rancho Seco", "routeId": "RUTA-05", "horarioEstimado": "Vespertino (14:15 - 15:00)" },
{ "colonia": "Las Insurgentes", "routeId": "RUTA-12", "horarioEstimado": "Matutino (06:35 - 07:10)" }
]

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[
{
"triggerEvent": "ROUTE_START",
"condition": "Cuando positionId cambia de 1 a 2",
"pushPayload": {
"title": "¡Ruta Iniciada!",
"body": "El camión recolector ha salido del Relleno Sanitario rumbo a tu sector. Asegúrate de tener listos tus residuos."
}
},
{
"triggerEvent": "TRUCK_PROXIMITY",
"condition": "Cuando positionId llega a 4 (punto previo al destino)",
"pushPayload": {
"title": "Camión Cercano",
"body": "El camión está a menos de 15 minutos de tu domicilio. Es momento de sacar tus bolsas a la acera."
}
},
{
"triggerEvent": "ROUTE_COMPLETED",
"condition": "Cuando positionId llega a 8 (retorno al basurero)",
"pushPayload": {
"title": "Servicio Finalizado",
"body": "El camión de tu sector ha concluido su jornada de recolección diaria."
}
}
]

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from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
DATABASE_URL = "postgresql://postgres:postgres@localhost:5432/hackonlinces"
engine = create_engine(DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()

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backend/main.py Normal file
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from fastapi import FastAPI, Depends, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from sqlalchemy.orm import Session
from apscheduler.schedulers.background import BackgroundScheduler
from database import engine, get_db
import models, schemas, auth, simulator
models.Base.metadata.create_all(bind=engine)
app = FastAPI(title="HackOnLinces 2026 - Recolección de Residuos")
app.add_middleware(CORSMiddleware, allow_origins=["*"],
allow_methods=["*"], allow_headers=["*"])
scheduler = BackgroundScheduler()
scheduler.add_job(simulator.avanzar_rutas, "interval", minutes=2)
scheduler.start()
@app.on_event("startup")
def startup():
db = next(get_db())
simulator.init_rutas(db)
@app.get("/")
def root():
return {"message": "API HackOnLinces 2026 funcionando"}
@app.post("/auth/register", response_model=schemas.Token)
def register(user: schemas.UsuarioCreate, db: Session = Depends(get_db)):
if db.query(models.Usuario).filter_by(email=user.email).first():
raise HTTPException(status_code=400, detail="Email ya registrado")
nuevo = models.Usuario(email=user.email,
hashed_password=auth.hash_password(user.password))
db.add(nuevo)
db.commit()
db.refresh(nuevo)
token = auth.create_token({"sub": nuevo.email})
return {"access_token": token, "token_type": "bearer"}
@app.post("/auth/login", response_model=schemas.Token)
def login(user: schemas.UsuarioLogin, db: Session = Depends(get_db)):
db_user = db.query(models.Usuario).filter_by(email=user.email).first()
if not db_user or not auth.verify_password(user.password, db_user.hashed_password):
raise HTTPException(status_code=401, detail="Credenciales incorrectas")
token = auth.create_token({"sub": db_user.email})
return {"access_token": token, "token_type": "bearer"}
@app.post("/domicilios", response_model=schemas.DomicilioResponse)
def crear_domicilio(data: schemas.DomicilioCreate,
current_user=Depends(auth.get_current_user),
db: Session = Depends(get_db)):
colonia_key = data.colonia.lower()
colonia_info = simulator.COLONIAS.get(colonia_key)
if not colonia_info:
raise HTTPException(status_code=404, detail="Colonia no encontrada en el sistema")
dom = models.Domicilio(direccion=data.direccion, colonia=data.colonia,
lat=data.lat, lng=data.lng,
route_id=colonia_info["routeId"],
usuario_id=current_user.id)
db.add(dom)
db.commit()
db.refresh(dom)
return dom
@app.get("/eta/{domicilio_id}", response_model=schemas.ETAResponse)
def get_eta(domicilio_id: int,
current_user=Depends(auth.get_current_user),
db: Session = Depends(get_db)):
dom = db.query(models.Domicilio).filter_by(id=domicilio_id).first()
if not dom:
raise HTTPException(status_code=404, detail="Domicilio no encontrado")
if dom.usuario_id != current_user.id:
raise HTTPException(status_code=403, detail="No tienes acceso a este domicilio")
eta = simulator.get_eta(dom.route_id, db)
if not eta:
raise HTTPException(status_code=404, detail="Ruta no encontrada")
return {**eta, "route_id": dom.route_id, "colonia": dom.colonia}

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backend/models.py Normal file
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from sqlalchemy import Column, Integer, String, Float, ForeignKey, DateTime
from sqlalchemy.orm import relationship
from database import Base
import datetime
class Usuario(Base):
__tablename__ = "usuarios"
id = Column(Integer, primary_key=True, index=True)
email = Column(String, unique=True, index=True)
hashed_password = Column(String)
domicilios = relationship("Domicilio", back_populates="usuario")
class Domicilio(Base):
__tablename__ = "domicilios"
id = Column(Integer, primary_key=True, index=True)
direccion = Column(String)
colonia = Column(String)
lat = Column(Float)
lng = Column(Float)
route_id = Column(String)
usuario_id = Column(Integer, ForeignKey("usuarios.id"))
usuario = relationship("Usuario", back_populates="domicilios")
class EstadoRuta(Base):
__tablename__ = "estado_rutas"
id = Column(Integer, primary_key=True, index=True)
route_id = Column(String, unique=True, index=True)
current_position_id = Column(Integer, default=1)
status = Column(String, default="EN_RUTA")
updated_at = Column(DateTime, default=datetime.datetime.utcnow)

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backend/requirements.txt Normal file
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annotated-doc==0.0.4
annotated-types==0.7.0
anyio==4.13.0
APScheduler==3.11.2
bcrypt==5.0.0
cffi==2.0.0
click==8.4.1
cryptography==48.0.0
ecdsa==0.19.2
fastapi==0.136.1
greenlet==3.5.1
h11==0.16.0
idna==3.16
passlib==1.7.4
psycopg2-binary==2.9.12
pyasn1==0.6.3
pycparser==3.0
pydantic==2.13.4
pydantic_core==2.46.4
python-jose==3.5.0
rsa==4.9.1
six==1.17.0
SQLAlchemy==2.0.49
starlette==1.0.1
typing-inspection==0.4.2
typing_extensions==4.15.0
tzlocal==5.3.1
uvicorn==0.47.0

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from pydantic import BaseModel
from typing import Optional
class UsuarioCreate(BaseModel):
email: str
password: str
class UsuarioLogin(BaseModel):
email: str
password: str
class Token(BaseModel):
access_token: str
token_type: str
class DomicilioCreate(BaseModel):
direccion: str
colonia: str
lat: float
lng: float
class DomicilioResponse(BaseModel):
id: int
direccion: str
colonia: str
route_id: str
class Config:
from_attributes = True
class ETAResponse(BaseModel):
route_id: str
colonia: str
current_position: int
mensaje: str
ventana_inicio: str
ventana_fin: str
evento: str

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backend/simulator.py Normal file
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import json
import os
import datetime
from sqlalchemy.orm import Session
from database import SessionLocal
import models
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
with open(os.path.join(BASE_DIR, "data", "rutas.json")) as f:
RUTAS = json.load(f)
COLONIAS = {}
with open(os.path.join(BASE_DIR, "data", "colonias-rutas.json")) as f:
for item in json.load(f):
COLONIAS[item["colonia"].lower()] = item
def init_rutas(db: Session):
for ruta in RUTAS:
existe = db.query(models.EstadoRuta).filter_by(route_id=ruta["routeId"]).first()
if not existe:
db.add(models.EstadoRuta(route_id=ruta["routeId"], current_position_id=1))
db.commit()
def avanzar_rutas():
db = SessionLocal()
try:
estados = db.query(models.EstadoRuta).all()
for estado in estados:
if estado.current_position_id < 8:
estado.current_position_id += 1
estado.updated_at = datetime.datetime.utcnow()
print(f"[SIM] {estado.route_id} → posición {estado.current_position_id}")
else:
estado.current_position_id = 1
db.commit()
finally:
db.close()
def get_eta(route_id: str, db: Session):
estado = db.query(models.EstadoRuta).filter_by(route_id=route_id).first()
if not estado:
return None
ruta = next((r for r in RUTAS if r["routeId"] == route_id), None)
if not ruta:
return None
pos = estado.current_position_id
if pos >= 8:
return {"mensaje": "El servicio de hoy ha finalizado.", "evento": "ROUTE_COMPLETED",
"ventana_inicio": "--", "ventana_fin": "--"}
pos_actual = ruta["positions"][pos - 1]
pos_siguiente = ruta["positions"][min(pos, 7)]
ts = datetime.datetime.fromisoformat(pos_siguiente["timestamp"].replace("Z", "+00:00"))
ventana_fin = ts.strftime("%H:%M")
ventana_inicio = (ts - datetime.timedelta(minutes=7)).strftime("%H:%M")
if pos == 1:
evento = "ROUTE_START"
mensaje = "El camión está por iniciar su recorrido. Ten listos tus residuos."
elif pos == 4:
evento = "TRUCK_PROXIMITY"
mensaje = f"El camión está a menos de 15 minutos. Saca tus bolsas a la acera."
else:
evento = "EN_CAMINO"
mensaje = f"El camión llegará a tu zona entre las {ventana_inicio} y {ventana_fin}."
return {"mensaje": mensaje, "evento": evento,
"ventana_inicio": ventana_inicio, "ventana_fin": ventana_fin,
"current_position": pos}

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<#
.Synopsis
Activate a Python virtual environment for the current PowerShell session.
.Description
Pushes the python executable for a virtual environment to the front of the
$Env:PATH environment variable and sets the prompt to signify that you are
in a Python virtual environment. Makes use of the command line switches as
well as the `pyvenv.cfg` file values present in the virtual environment.
.Parameter VenvDir
Path to the directory that contains the virtual environment to activate. The
default value for this is the parent of the directory that the Activate.ps1
script is located within.
.Parameter Prompt
The prompt prefix to display when this virtual environment is activated. By
default, this prompt is the name of the virtual environment folder (VenvDir)
surrounded by parentheses and followed by a single space (ie. '(.venv) ').
.Example
Activate.ps1
Activates the Python virtual environment that contains the Activate.ps1 script.
.Example
Activate.ps1 -Verbose
Activates the Python virtual environment that contains the Activate.ps1 script,
and shows extra information about the activation as it executes.
.Example
Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
Activates the Python virtual environment located in the specified location.
.Example
Activate.ps1 -Prompt "MyPython"
Activates the Python virtual environment that contains the Activate.ps1 script,
and prefixes the current prompt with the specified string (surrounded in
parentheses) while the virtual environment is active.
.Notes
On Windows, it may be required to enable this Activate.ps1 script by setting the
execution policy for the user. You can do this by issuing the following PowerShell
command:
PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
For more information on Execution Policies:
https://go.microsoft.com/fwlink/?LinkID=135170
#>
Param(
[Parameter(Mandatory = $false)]
[String]
$VenvDir,
[Parameter(Mandatory = $false)]
[String]
$Prompt
)
<# Function declarations --------------------------------------------------- #>
<#
.Synopsis
Remove all shell session elements added by the Activate script, including the
addition of the virtual environment's Python executable from the beginning of
the PATH variable.
.Parameter NonDestructive
If present, do not remove this function from the global namespace for the
session.
#>
function global:deactivate ([switch]$NonDestructive) {
# Revert to original values
# The prior prompt:
if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
}
# The prior PYTHONHOME:
if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
}
# The prior PATH:
if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
Remove-Item -Path Env:_OLD_VIRTUAL_PATH
}
# Just remove the VIRTUAL_ENV altogether:
if (Test-Path -Path Env:VIRTUAL_ENV) {
Remove-Item -Path env:VIRTUAL_ENV
}
# Just remove VIRTUAL_ENV_PROMPT altogether.
if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
Remove-Item -Path env:VIRTUAL_ENV_PROMPT
}
# Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
}
# Leave deactivate function in the global namespace if requested:
if (-not $NonDestructive) {
Remove-Item -Path function:deactivate
}
}
<#
.Description
Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
given folder, and returns them in a map.
For each line in the pyvenv.cfg file, if that line can be parsed into exactly
two strings separated by `=` (with any amount of whitespace surrounding the =)
then it is considered a `key = value` line. The left hand string is the key,
the right hand is the value.
If the value starts with a `'` or a `"` then the first and last character is
stripped from the value before being captured.
.Parameter ConfigDir
Path to the directory that contains the `pyvenv.cfg` file.
#>
function Get-PyVenvConfig(
[String]
$ConfigDir
) {
Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
# Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
$pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
# An empty map will be returned if no config file is found.
$pyvenvConfig = @{ }
if ($pyvenvConfigPath) {
Write-Verbose "File exists, parse `key = value` lines"
$pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
$pyvenvConfigContent | ForEach-Object {
$keyval = $PSItem -split "\s*=\s*", 2
if ($keyval[0] -and $keyval[1]) {
$val = $keyval[1]
# Remove extraneous quotations around a string value.
if ("'""".Contains($val.Substring(0, 1))) {
$val = $val.Substring(1, $val.Length - 2)
}
$pyvenvConfig[$keyval[0]] = $val
Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
}
}
}
return $pyvenvConfig
}
<# Begin Activate script --------------------------------------------------- #>
# Determine the containing directory of this script
$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
$VenvExecDir = Get-Item -Path $VenvExecPath
Write-Verbose "Activation script is located in path: '$VenvExecPath'"
Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
# Set values required in priority: CmdLine, ConfigFile, Default
# First, get the location of the virtual environment, it might not be
# VenvExecDir if specified on the command line.
if ($VenvDir) {
Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
}
else {
Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
$VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
Write-Verbose "VenvDir=$VenvDir"
}
# Next, read the `pyvenv.cfg` file to determine any required value such
# as `prompt`.
$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
# Next, set the prompt from the command line, or the config file, or
# just use the name of the virtual environment folder.
if ($Prompt) {
Write-Verbose "Prompt specified as argument, using '$Prompt'"
}
else {
Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
$Prompt = $pyvenvCfg['prompt'];
}
else {
Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
$Prompt = Split-Path -Path $venvDir -Leaf
}
}
Write-Verbose "Prompt = '$Prompt'"
Write-Verbose "VenvDir='$VenvDir'"
# Deactivate any currently active virtual environment, but leave the
# deactivate function in place.
deactivate -nondestructive
# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
# that there is an activated venv.
$env:VIRTUAL_ENV = $VenvDir
if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
Write-Verbose "Setting prompt to '$Prompt'"
# Set the prompt to include the env name
# Make sure _OLD_VIRTUAL_PROMPT is global
function global:_OLD_VIRTUAL_PROMPT { "" }
Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
function global:prompt {
Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
_OLD_VIRTUAL_PROMPT
}
$env:VIRTUAL_ENV_PROMPT = $Prompt
}
# Clear PYTHONHOME
if (Test-Path -Path Env:PYTHONHOME) {
Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
Remove-Item -Path Env:PYTHONHOME
}
# Add the venv to the PATH
Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"

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# This file must be used with "source bin/activate" *from bash*
# You cannot run it directly
deactivate () {
# reset old environment variables
if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
PATH="${_OLD_VIRTUAL_PATH:-}"
export PATH
unset _OLD_VIRTUAL_PATH
fi
if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
export PYTHONHOME
unset _OLD_VIRTUAL_PYTHONHOME
fi
# Call hash to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
hash -r 2> /dev/null
if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
PS1="${_OLD_VIRTUAL_PS1:-}"
export PS1
unset _OLD_VIRTUAL_PS1
fi
unset VIRTUAL_ENV
unset VIRTUAL_ENV_PROMPT
if [ ! "${1:-}" = "nondestructive" ] ; then
# Self destruct!
unset -f deactivate
fi
}
# unset irrelevant variables
deactivate nondestructive
# on Windows, a path can contain colons and backslashes and has to be converted:
if [ "${OSTYPE:-}" = "cygwin" ] || [ "${OSTYPE:-}" = "msys" ] ; then
# transform D:\path\to\venv to /d/path/to/venv on MSYS
# and to /cygdrive/d/path/to/venv on Cygwin
export VIRTUAL_ENV=$(cygpath /home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv)
else
# use the path as-is
export VIRTUAL_ENV=/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv
fi
_OLD_VIRTUAL_PATH="$PATH"
PATH="$VIRTUAL_ENV/"bin":$PATH"
export PATH
# unset PYTHONHOME if set
# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
# could use `if (set -u; : $PYTHONHOME) ;` in bash
if [ -n "${PYTHONHOME:-}" ] ; then
_OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
unset PYTHONHOME
fi
if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
_OLD_VIRTUAL_PS1="${PS1:-}"
PS1='(venv) '"${PS1:-}"
export PS1
VIRTUAL_ENV_PROMPT='(venv) '
export VIRTUAL_ENV_PROMPT
fi
# Call hash to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
hash -r 2> /dev/null

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# This file must be used with "source bin/activate.csh" *from csh*.
# You cannot run it directly.
# Created by Davide Di Blasi <davidedb@gmail.com>.
# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate'
# Unset irrelevant variables.
deactivate nondestructive
setenv VIRTUAL_ENV /home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv
set _OLD_VIRTUAL_PATH="$PATH"
setenv PATH "$VIRTUAL_ENV/"bin":$PATH"
set _OLD_VIRTUAL_PROMPT="$prompt"
if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
set prompt = '(venv) '"$prompt"
setenv VIRTUAL_ENV_PROMPT '(venv) '
endif
alias pydoc python -m pydoc
rehash

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# This file must be used with "source <venv>/bin/activate.fish" *from fish*
# (https://fishshell.com/). You cannot run it directly.
function deactivate -d "Exit virtual environment and return to normal shell environment"
# reset old environment variables
if test -n "$_OLD_VIRTUAL_PATH"
set -gx PATH $_OLD_VIRTUAL_PATH
set -e _OLD_VIRTUAL_PATH
end
if test -n "$_OLD_VIRTUAL_PYTHONHOME"
set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
set -e _OLD_VIRTUAL_PYTHONHOME
end
if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
set -e _OLD_FISH_PROMPT_OVERRIDE
# prevents error when using nested fish instances (Issue #93858)
if functions -q _old_fish_prompt
functions -e fish_prompt
functions -c _old_fish_prompt fish_prompt
functions -e _old_fish_prompt
end
end
set -e VIRTUAL_ENV
set -e VIRTUAL_ENV_PROMPT
if test "$argv[1]" != "nondestructive"
# Self-destruct!
functions -e deactivate
end
end
# Unset irrelevant variables.
deactivate nondestructive
set -gx VIRTUAL_ENV /home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv
set -gx _OLD_VIRTUAL_PATH $PATH
set -gx PATH "$VIRTUAL_ENV/"bin $PATH
# Unset PYTHONHOME if set.
if set -q PYTHONHOME
set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
set -e PYTHONHOME
end
if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
# fish uses a function instead of an env var to generate the prompt.
# Save the current fish_prompt function as the function _old_fish_prompt.
functions -c fish_prompt _old_fish_prompt
# With the original prompt function renamed, we can override with our own.
function fish_prompt
# Save the return status of the last command.
set -l old_status $status
# Output the venv prompt; color taken from the blue of the Python logo.
printf "%s%s%s" (set_color 4B8BBE) '(venv) ' (set_color normal)
# Restore the return status of the previous command.
echo "exit $old_status" | .
# Output the original/"old" prompt.
_old_fish_prompt
end
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
set -gx VIRTUAL_ENV_PROMPT '(venv) '
end

8
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#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from fastapi.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
backend/venv/bin/idna Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from idna.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
backend/venv/bin/pip Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
backend/venv/bin/pip3 Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
backend/venv/bin/pip3.12 Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from rsa.cli import decrypt
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(decrypt())

8
backend/venv/bin/pyrsa-encrypt Executable file
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#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from rsa.cli import encrypt
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(encrypt())

8
backend/venv/bin/pyrsa-keygen Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from rsa.cli import keygen
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(keygen())

8
backend/venv/bin/pyrsa-priv2pub Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from rsa.util import private_to_public
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(private_to_public())

8
backend/venv/bin/pyrsa-sign Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from rsa.cli import sign
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(sign())

8
backend/venv/bin/pyrsa-verify Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from rsa.cli import verify
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(verify())

1
backend/venv/bin/python Symbolic link
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@@ -0,0 +1 @@
python3

1
backend/venv/bin/python3 Symbolic link
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@@ -0,0 +1 @@
/usr/bin/python3

1
backend/venv/bin/python3.12 Symbolic link
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@@ -0,0 +1 @@
python3

8
backend/venv/bin/uvicorn Executable file
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@@ -0,0 +1,8 @@
#!/home/x/hackathon-fenix-dd4242d3e4a44627bef70ed13cc9269d/backend/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from uvicorn.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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@@ -0,0 +1,164 @@
/* -*- indent-tabs-mode: nil; tab-width: 4; -*- */
/* Greenlet object interface */
#ifndef Py_GREENLETOBJECT_H
#define Py_GREENLETOBJECT_H
#include <Python.h>
#ifdef __cplusplus
extern "C" {
#endif
/* This is deprecated and undocumented. It does not change. */
#define GREENLET_VERSION "1.0.0"
#ifndef GREENLET_MODULE
#define implementation_ptr_t void*
#endif
typedef struct _greenlet {
PyObject_HEAD
PyObject* weakreflist;
PyObject* dict;
implementation_ptr_t pimpl;
} PyGreenlet;
#define PyGreenlet_Check(op) (op && PyObject_TypeCheck(op, &PyGreenlet_Type))
/* C API functions */
/* Total number of symbols that are exported */
#define PyGreenlet_API_pointers 12
#define PyGreenlet_Type_NUM 0
#define PyExc_GreenletError_NUM 1
#define PyExc_GreenletExit_NUM 2
#define PyGreenlet_New_NUM 3
#define PyGreenlet_GetCurrent_NUM 4
#define PyGreenlet_Throw_NUM 5
#define PyGreenlet_Switch_NUM 6
#define PyGreenlet_SetParent_NUM 7
#define PyGreenlet_MAIN_NUM 8
#define PyGreenlet_STARTED_NUM 9
#define PyGreenlet_ACTIVE_NUM 10
#define PyGreenlet_GET_PARENT_NUM 11
#ifndef GREENLET_MODULE
/* This section is used by modules that uses the greenlet C API */
static void** _PyGreenlet_API = NULL;
# define PyGreenlet_Type \
(*(PyTypeObject*)_PyGreenlet_API[PyGreenlet_Type_NUM])
# define PyExc_GreenletError \
((PyObject*)_PyGreenlet_API[PyExc_GreenletError_NUM])
# define PyExc_GreenletExit \
((PyObject*)_PyGreenlet_API[PyExc_GreenletExit_NUM])
/*
* PyGreenlet_New(PyObject *args)
*
* greenlet.greenlet(run, parent=None)
*/
# define PyGreenlet_New \
(*(PyGreenlet * (*)(PyObject * run, PyGreenlet * parent)) \
_PyGreenlet_API[PyGreenlet_New_NUM])
/*
* PyGreenlet_GetCurrent(void)
*
* greenlet.getcurrent()
*/
# define PyGreenlet_GetCurrent \
(*(PyGreenlet * (*)(void)) _PyGreenlet_API[PyGreenlet_GetCurrent_NUM])
/*
* PyGreenlet_Throw(
* PyGreenlet *greenlet,
* PyObject *typ,
* PyObject *val,
* PyObject *tb)
*
* g.throw(...)
*/
# define PyGreenlet_Throw \
(*(PyObject * (*)(PyGreenlet * self, \
PyObject * typ, \
PyObject * val, \
PyObject * tb)) \
_PyGreenlet_API[PyGreenlet_Throw_NUM])
/*
* PyGreenlet_Switch(PyGreenlet *greenlet, PyObject *args)
*
* g.switch(*args, **kwargs)
*/
# define PyGreenlet_Switch \
(*(PyObject * \
(*)(PyGreenlet * greenlet, PyObject * args, PyObject * kwargs)) \
_PyGreenlet_API[PyGreenlet_Switch_NUM])
/*
* PyGreenlet_SetParent(PyObject *greenlet, PyObject *new_parent)
*
* g.parent = new_parent
*/
# define PyGreenlet_SetParent \
(*(int (*)(PyGreenlet * greenlet, PyGreenlet * nparent)) \
_PyGreenlet_API[PyGreenlet_SetParent_NUM])
/*
* PyGreenlet_GetParent(PyObject* greenlet)
*
* return greenlet.parent;
*
* This could return NULL even if there is no exception active.
* If it does not return NULL, you are responsible for decrementing the
* reference count.
*/
# define PyGreenlet_GetParent \
(*(PyGreenlet* (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_GET_PARENT_NUM])
/*
* deprecated, undocumented alias.
*/
# define PyGreenlet_GET_PARENT PyGreenlet_GetParent
# define PyGreenlet_MAIN \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_MAIN_NUM])
# define PyGreenlet_STARTED \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_STARTED_NUM])
# define PyGreenlet_ACTIVE \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_ACTIVE_NUM])
/* Macro that imports greenlet and initializes C API */
/* NOTE: This has actually moved to ``greenlet._greenlet._C_API``, but we
keep the older definition to be sure older code that might have a copy of
the header still works. */
# define PyGreenlet_Import() \
{ \
_PyGreenlet_API = (void**)PyCapsule_Import("greenlet._C_API", 0); \
}
#endif /* GREENLET_MODULE */
#ifdef __cplusplus
}
#endif
#endif /* !Py_GREENLETOBJECT_H */

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pip

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Metadata-Version: 2.4
Name: annotated-doc
Version: 0.0.4
Summary: Document parameters, class attributes, return types, and variables inline, with Annotated.
Author-Email: =?utf-8?q?Sebasti=C3=A1n_Ram=C3=ADrez?= <tiangolo@gmail.com>
License-Expression: MIT
License-File: LICENSE
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python
Classifier: Topic :: Internet
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development
Classifier: Typing :: Typed
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Project-URL: Homepage, https://github.com/fastapi/annotated-doc
Project-URL: Documentation, https://github.com/fastapi/annotated-doc
Project-URL: Repository, https://github.com/fastapi/annotated-doc
Project-URL: Issues, https://github.com/fastapi/annotated-doc/issues
Project-URL: Changelog, https://github.com/fastapi/annotated-doc/release-notes.md
Requires-Python: >=3.8
Description-Content-Type: text/markdown
# Annotated Doc
Document parameters, class attributes, return types, and variables inline, with `Annotated`.
<a href="https://github.com/fastapi/annotated-doc/actions?query=workflow%3ATest+event%3Apush+branch%3Amain" target="_blank">
<img src="https://github.com/fastapi/annotated-doc/actions/workflows/test.yml/badge.svg?event=push&branch=main" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/annotated-doc" target="_blank">
<img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/annotated-doc.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/annotated-doc" target="_blank">
<img src="https://img.shields.io/pypi/v/annotated-doc?color=%2334D058&label=pypi%20package" alt="Package version">
</a>
<a href="https://pypi.org/project/annotated-doc" target="_blank">
<img src="https://img.shields.io/pypi/pyversions/annotated-doc.svg?color=%2334D058" alt="Supported Python versions">
</a>
## Installation
```bash
pip install annotated-doc
```
Or with `uv`:
```Python
uv add annotated-doc
```
## Usage
Import `Doc` and pass a single literal string with the documentation for the specific parameter, class attribute, return type, or variable.
For example, to document a parameter `name` in a function `hi` you could do:
```Python
from typing import Annotated
from annotated_doc import Doc
def hi(name: Annotated[str, Doc("Who to say hi to")]) -> None:
print(f"Hi, {name}!")
```
You can also use it to document class attributes:
```Python
from typing import Annotated
from annotated_doc import Doc
class User:
name: Annotated[str, Doc("The user's name")]
age: Annotated[int, Doc("The user's age")]
```
The same way, you could document return types and variables, or anything that could have a type annotation with `Annotated`.
## Who Uses This
`annotated-doc` was made for:
* [FastAPI](https://fastapi.tiangolo.com/)
* [Typer](https://typer.tiangolo.com/)
* [SQLModel](https://sqlmodel.tiangolo.com/)
* [Asyncer](https://asyncer.tiangolo.com/)
`annotated-doc` is supported by [griffe-typingdoc](https://github.com/mkdocstrings/griffe-typingdoc), which powers reference documentation like the one in the [FastAPI Reference](https://fastapi.tiangolo.com/reference/).
## Reasons not to use `annotated-doc`
You are already comfortable with one of the existing docstring formats, like:
* Sphinx
* numpydoc
* Google
* Keras
Your team is already comfortable using them.
You prefer having the documentation about parameters all together in a docstring, separated from the code defining them.
You care about a specific set of users, using one specific editor, and that editor already has support for the specific docstring format you use.
## Reasons to use `annotated-doc`
* No micro-syntax to learn for newcomers, it’s **just Python** syntax.
* **Editing** would be already fully supported by default by any editor (current or future) supporting Python syntax, including syntax errors, syntax highlighting, etc.
* **Rendering** would be relatively straightforward to implement by static tools (tools that don't need runtime execution), as the information can be extracted from the AST they normally already create.
* **Deduplication of information**: the name of a parameter would be defined in a single place, not duplicated inside of a docstring.
* **Elimination** of the possibility of having **inconsistencies** when removing a parameter or class variable and **forgetting to remove** its documentation.
* **Minimization** of the probability of adding a new parameter or class variable and **forgetting to add its documentation**.
* **Elimination** of the possibility of having **inconsistencies** between the **name** of a parameter in the **signature** and the name in the docstring when it is renamed.
* **Access** to the documentation string for each symbol at **runtime**, including existing (older) Python versions.
* A more formalized way to document other symbols, like type aliases, that could use Annotated.
* **Support** for apps using FastAPI, Typer and others.
* **AI Accessibility**: AI tools will have an easier way understanding each parameter as the distance from documentation to parameter is much closer.
## History
I ([@tiangolo](https://github.com/tiangolo)) originally wanted for this to be part of the Python standard library (in [PEP 727](https://peps.python.org/pep-0727/)), but the proposal was withdrawn as there was a fair amount of negative feedback and opposition.
The conclusion was that this was better done as an external effort, in a third-party library.
So, here it is, with a simpler approach, as a third-party library, in a way that can be used by others, starting with FastAPI and friends.
## License
This project is licensed under the terms of the MIT license.

11
backend/venv/lib/python3.12/site-packages/annotated_doc-0.0.4.dist-info/RECORD Normal file
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annotated_doc-0.0.4.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
annotated_doc-0.0.4.dist-info/METADATA,sha256=Irm5KJua33dY2qKKAjJ-OhKaVBVIfwFGej_dSe3Z1TU,6566
annotated_doc-0.0.4.dist-info/RECORD,,
annotated_doc-0.0.4.dist-info/WHEEL,sha256=9P2ygRxDrTJz3gsagc0Z96ukrxjr-LFBGOgv3AuKlCA,90
annotated_doc-0.0.4.dist-info/entry_points.txt,sha256=6OYgBcLyFCUgeqLgnvMyOJxPCWzgy7se4rLPKtNonMs,34
annotated_doc-0.0.4.dist-info/licenses/LICENSE,sha256=__Fwd5pqy_ZavbQFwIfxzuF4ZpHkqWpANFF-SlBKDN8,1086
annotated_doc/__init__.py,sha256=VuyxxUe80kfEyWnOrCx_Bk8hybo3aKo6RYBlkBBYW8k,52
annotated_doc/__pycache__/__init__.cpython-312.pyc,,
annotated_doc/__pycache__/main.cpython-312.pyc,,
annotated_doc/main.py,sha256=5Zfvxv80SwwLqpRW73AZyZyiM4bWma9QWRbp_cgD20s,1075
annotated_doc/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0

4
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Wheel-Version: 1.0
Generator: pdm-backend (2.4.5)
Root-Is-Purelib: true
Tag: py3-none-any

4
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[console_scripts]
[gui_scripts]

21
backend/venv/lib/python3.12/site-packages/annotated_doc-0.0.4.dist-info/licenses/LICENSE Normal file
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The MIT License (MIT)
Copyright (c) 2025 Sebastián Ramírez
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

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from .main import Doc as Doc
__version__ = "0.0.4"

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class Doc:
"""Define the documentation of a type annotation using `Annotated`, to be
used in class attributes, function and method parameters, return values,
and variables.
The value should be a positional-only string literal to allow static tools
like editors and documentation generators to use it.
This complements docstrings.
The string value passed is available in the attribute `documentation`.
Example:
```Python
from typing import Annotated
from annotated_doc import Doc
def hi(name: Annotated[str, Doc("Who to say hi to")]) -> None:
print(f"Hi, {name}!")
```
"""
def __init__(self, documentation: str, /) -> None:
self.documentation = documentation
def __repr__(self) -> str:
return f"Doc({self.documentation!r})"
def __hash__(self) -> int:
return hash(self.documentation)
def __eq__(self, other: object) -> bool:
if not isinstance(other, Doc):
return NotImplemented
return self.documentation == other.documentation

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pip

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Metadata-Version: 2.3
Name: annotated-types
Version: 0.7.0
Summary: Reusable constraint types to use with typing.Annotated
Project-URL: Homepage, https://github.com/annotated-types/annotated-types
Project-URL: Source, https://github.com/annotated-types/annotated-types
Project-URL: Changelog, https://github.com/annotated-types/annotated-types/releases
Author-email: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Samuel Colvin <s@muelcolvin.com>, Zac Hatfield-Dodds <zac@zhd.dev>
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.8
Requires-Dist: typing-extensions>=4.0.0; python_version < '3.9'
Description-Content-Type: text/markdown
# annotated-types
[![CI](https://github.com/annotated-types/annotated-types/workflows/CI/badge.svg?event=push)](https://github.com/annotated-types/annotated-types/actions?query=event%3Apush+branch%3Amain+workflow%3ACI)
[![pypi](https://img.shields.io/pypi/v/annotated-types.svg)](https://pypi.python.org/pypi/annotated-types)
[![versions](https://img.shields.io/pypi/pyversions/annotated-types.svg)](https://github.com/annotated-types/annotated-types)
[![license](https://img.shields.io/github/license/annotated-types/annotated-types.svg)](https://github.com/annotated-types/annotated-types/blob/main/LICENSE)
[PEP-593](https://peps.python.org/pep-0593/) added `typing.Annotated` as a way of
adding context-specific metadata to existing types, and specifies that
`Annotated[T, x]` _should_ be treated as `T` by any tool or library without special
logic for `x`.
This package provides metadata objects which can be used to represent common
constraints such as upper and lower bounds on scalar values and collection sizes,
a `Predicate` marker for runtime checks, and
descriptions of how we intend these metadata to be interpreted. In some cases,
we also note alternative representations which do not require this package.
## Install
```bash
pip install annotated-types
```
## Examples
```python
from typing import Annotated
from annotated_types import Gt, Len, Predicate
class MyClass:
age: Annotated[int, Gt(18)] # Valid: 19, 20, ...
# Invalid: 17, 18, "19", 19.0, ...
factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...
# Invalid: 4, 8, -2, 5.0, "prime", ...
my_list: Annotated[list[int], Len(0, 10)] # Valid: [], [10, 20, 30, 40, 50]
# Invalid: (1, 2), ["abc"], [0] * 20
```
## Documentation
_While `annotated-types` avoids runtime checks for performance, users should not
construct invalid combinations such as `MultipleOf("non-numeric")` or `Annotated[int, Len(3)]`.
Downstream implementors may choose to raise an error, emit a warning, silently ignore
a metadata item, etc., if the metadata objects described below are used with an
incompatible type - or for any other reason!_
### Gt, Ge, Lt, Le
Express inclusive and/or exclusive bounds on orderable values - which may be numbers,
dates, times, strings, sets, etc. Note that the boundary value need not be of the
same type that was annotated, so long as they can be compared: `Annotated[int, Gt(1.5)]`
is fine, for example, and implies that the value is an integer x such that `x > 1.5`.
We suggest that implementors may also interpret `functools.partial(operator.le, 1.5)`
as being equivalent to `Gt(1.5)`, for users who wish to avoid a runtime dependency on
the `annotated-types` package.
To be explicit, these types have the following meanings:
* `Gt(x)` - value must be "Greater Than" `x` - equivalent to exclusive minimum
* `Ge(x)` - value must be "Greater than or Equal" to `x` - equivalent to inclusive minimum
* `Lt(x)` - value must be "Less Than" `x` - equivalent to exclusive maximum
* `Le(x)` - value must be "Less than or Equal" to `x` - equivalent to inclusive maximum
### Interval
`Interval(gt, ge, lt, le)` allows you to specify an upper and lower bound with a single
metadata object. `None` attributes should be ignored, and non-`None` attributes
treated as per the single bounds above.
### MultipleOf
`MultipleOf(multiple_of=x)` might be interpreted in two ways:
1. Python semantics, implying `value % multiple_of == 0`, or
2. [JSONschema semantics](https://json-schema.org/draft/2020-12/json-schema-validation.html#rfc.section.6.2.1),
where `int(value / multiple_of) == value / multiple_of`.
We encourage users to be aware of these two common interpretations and their
distinct behaviours, especially since very large or non-integer numbers make
it easy to cause silent data corruption due to floating-point imprecision.
We encourage libraries to carefully document which interpretation they implement.
### MinLen, MaxLen, Len
`Len()` implies that `min_length <= len(value) <= max_length` - lower and upper bounds are inclusive.
As well as `Len()` which can optionally include upper and lower bounds, we also
provide `MinLen(x)` and `MaxLen(y)` which are equivalent to `Len(min_length=x)`
and `Len(max_length=y)` respectively.
`Len`, `MinLen`, and `MaxLen` may be used with any type which supports `len(value)`.
Examples of usage:
* `Annotated[list, MaxLen(10)]` (or `Annotated[list, Len(max_length=10))`) - list must have a length of 10 or less
* `Annotated[str, MaxLen(10)]` - string must have a length of 10 or less
* `Annotated[list, MinLen(3))` (or `Annotated[list, Len(min_length=3))`) - list must have a length of 3 or more
* `Annotated[list, Len(4, 6)]` - list must have a length of 4, 5, or 6
* `Annotated[list, Len(8, 8)]` - list must have a length of exactly 8
#### Changed in v0.4.0
* `min_inclusive` has been renamed to `min_length`, no change in meaning
* `max_exclusive` has been renamed to `max_length`, upper bound is now **inclusive** instead of **exclusive**
* The recommendation that slices are interpreted as `Len` has been removed due to ambiguity and different semantic
meaning of the upper bound in slices vs. `Len`
See [issue #23](https://github.com/annotated-types/annotated-types/issues/23) for discussion.
### Timezone
`Timezone` can be used with a `datetime` or a `time` to express which timezones
are allowed. `Annotated[datetime, Timezone(None)]` must be a naive datetime.
`Timezone[...]` ([literal ellipsis](https://docs.python.org/3/library/constants.html#Ellipsis))
expresses that any timezone-aware datetime is allowed. You may also pass a specific
timezone string or [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects)
object such as `Timezone(timezone.utc)` or `Timezone("Africa/Abidjan")` to express that you only
allow a specific timezone, though we note that this is often a symptom of fragile design.
#### Changed in v0.x.x
* `Timezone` accepts [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) objects instead of
`timezone`, extending compatibility to [`zoneinfo`](https://docs.python.org/3/library/zoneinfo.html) and third party libraries.
### Unit
`Unit(unit: str)` expresses that the annotated numeric value is the magnitude of
a quantity with the specified unit. For example, `Annotated[float, Unit("m/s")]`
would be a float representing a velocity in meters per second.
Please note that `annotated_types` itself makes no attempt to parse or validate
the unit string in any way. That is left entirely to downstream libraries,
such as [`pint`](https://pint.readthedocs.io) or
[`astropy.units`](https://docs.astropy.org/en/stable/units/).
An example of how a library might use this metadata:
```python
from annotated_types import Unit
from typing import Annotated, TypeVar, Callable, Any, get_origin, get_args
# given a type annotated with a unit:
Meters = Annotated[float, Unit("m")]
# you can cast the annotation to a specific unit type with any
# callable that accepts a string and returns the desired type
T = TypeVar("T")
def cast_unit(tp: Any, unit_cls: Callable[[str], T]) -> T | None:
if get_origin(tp) is Annotated:
for arg in get_args(tp):
if isinstance(arg, Unit):
return unit_cls(arg.unit)
return None
# using `pint`
import pint
pint_unit = cast_unit(Meters, pint.Unit)
# using `astropy.units`
import astropy.units as u
astropy_unit = cast_unit(Meters, u.Unit)
```
### Predicate
`Predicate(func: Callable)` expresses that `func(value)` is truthy for valid values.
Users should prefer the statically inspectable metadata above, but if you need
the full power and flexibility of arbitrary runtime predicates... here it is.
For some common constraints, we provide generic types:
* `IsLower = Annotated[T, Predicate(str.islower)]`
* `IsUpper = Annotated[T, Predicate(str.isupper)]`
* `IsDigit = Annotated[T, Predicate(str.isdigit)]`
* `IsFinite = Annotated[T, Predicate(math.isfinite)]`
* `IsNotFinite = Annotated[T, Predicate(Not(math.isfinite))]`
* `IsNan = Annotated[T, Predicate(math.isnan)]`
* `IsNotNan = Annotated[T, Predicate(Not(math.isnan))]`
* `IsInfinite = Annotated[T, Predicate(math.isinf)]`
* `IsNotInfinite = Annotated[T, Predicate(Not(math.isinf))]`
so that you can write e.g. `x: IsFinite[float] = 2.0` instead of the longer
(but exactly equivalent) `x: Annotated[float, Predicate(math.isfinite)] = 2.0`.
Some libraries might have special logic to handle known or understandable predicates,
for example by checking for `str.isdigit` and using its presence to both call custom
logic to enforce digit-only strings, and customise some generated external schema.
Users are therefore encouraged to avoid indirection like `lambda s: s.lower()`, in
favor of introspectable methods such as `str.lower` or `re.compile("pattern").search`.
To enable basic negation of commonly used predicates like `math.isnan` without introducing introspection that makes it impossible for implementers to introspect the predicate we provide a `Not` wrapper that simply negates the predicate in an introspectable manner. Several of the predicates listed above are created in this manner.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting
`TypeError: descriptor 'isdigit' for 'str' objects doesn't apply to a 'int' object`
exception. We encourage libraries to document the behaviour they choose.
### Doc
`doc()` can be used to add documentation information in `Annotated`, for function and method parameters, variables, class attributes, return types, and any place where `Annotated` can be used.
It expects a value that can be statically analyzed, as the main use case is for static analysis, editors, documentation generators, and similar tools.
It returns a `DocInfo` class with a single attribute `documentation` containing the value passed to `doc()`.
This is the early adopter's alternative form of the [`typing-doc` proposal](https://github.com/tiangolo/fastapi/blob/typing-doc/typing_doc.md).
### Integrating downstream types with `GroupedMetadata`
Implementers may choose to provide a convenience wrapper that groups multiple pieces of metadata.
This can help reduce verbosity and cognitive overhead for users.
For example, an implementer like Pydantic might provide a `Field` or `Meta` type that accepts keyword arguments and transforms these into low-level metadata:
```python
from dataclasses import dataclass
from typing import Iterator
from annotated_types import GroupedMetadata, Ge
@dataclass
class Field(GroupedMetadata):
ge: int | None = None
description: str | None = None
def __iter__(self) -> Iterator[object]:
# Iterating over a GroupedMetadata object should yield annotated-types
# constraint metadata objects which describe it as fully as possible,
# and may include other unknown objects too.
if self.ge is not None:
yield Ge(self.ge)
if self.description is not None:
yield Description(self.description)
```
Libraries consuming annotated-types constraints should check for `GroupedMetadata` and unpack it by iterating over the object and treating the results as if they had been "unpacked" in the `Annotated` type. The same logic should be applied to the [PEP 646 `Unpack` type](https://peps.python.org/pep-0646/), so that `Annotated[T, Field(...)]`, `Annotated[T, Unpack[Field(...)]]` and `Annotated[T, *Field(...)]` are all treated consistently.
Libraries consuming annotated-types should also ignore any metadata they do not recongize that came from unpacking a `GroupedMetadata`, just like they ignore unrecognized metadata in `Annotated` itself.
Our own `annotated_types.Interval` class is a `GroupedMetadata` which unpacks itself into `Gt`, `Lt`, etc., so this is not an abstract concern. Similarly, `annotated_types.Len` is a `GroupedMetadata` which unpacks itself into `MinLen` (optionally) and `MaxLen`.
### Consuming metadata
We intend to not be prescriptive as to _how_ the metadata and constraints are used, but as an example of how one might parse constraints from types annotations see our [implementation in `test_main.py`](https://github.com/annotated-types/annotated-types/blob/f59cf6d1b5255a0fe359b93896759a180bec30ae/tests/test_main.py#L94-L103).
It is up to the implementer to determine how this metadata is used.
You could use the metadata for runtime type checking, for generating schemas or to generate example data, amongst other use cases.
## Design & History
This package was designed at the PyCon 2022 sprints by the maintainers of Pydantic
and Hypothesis, with the goal of making it as easy as possible for end-users to
provide more informative annotations for use by runtime libraries.
It is deliberately minimal, and following PEP-593 allows considerable downstream
discretion in what (if anything!) they choose to support. Nonetheless, we expect
that staying simple and covering _only_ the most common use-cases will give users
and maintainers the best experience we can. If you'd like more constraints for your
types - follow our lead, by defining them and documenting them downstream!

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Wheel-Version: 1.0
Generator: hatchling 1.24.2
Root-Is-Purelib: true
Tag: py3-none-any

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The MIT License (MIT)
Copyright (c) 2022 the contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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import math
import sys
import types
from dataclasses import dataclass
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union
if sys.version_info < (3, 8):
from typing_extensions import Protocol, runtime_checkable
else:
from typing import Protocol, runtime_checkable
if sys.version_info < (3, 9):
from typing_extensions import Annotated, Literal
else:
from typing import Annotated, Literal
if sys.version_info < (3, 10):
EllipsisType = type(Ellipsis)
KW_ONLY = {}
SLOTS = {}
else:
from types import EllipsisType
KW_ONLY = {"kw_only": True}
SLOTS = {"slots": True}
__all__ = (
'BaseMetadata',
'GroupedMetadata',
'Gt',
'Ge',
'Lt',
'Le',
'Interval',
'MultipleOf',
'MinLen',
'MaxLen',
'Len',
'Timezone',
'Predicate',
'LowerCase',
'UpperCase',
'IsDigits',
'IsFinite',
'IsNotFinite',
'IsNan',
'IsNotNan',
'IsInfinite',
'IsNotInfinite',
'doc',
'DocInfo',
'__version__',
)
__version__ = '0.7.0'
T = TypeVar('T')
# arguments that start with __ are considered
# positional only
# see https://peps.python.org/pep-0484/#positional-only-arguments
class SupportsGt(Protocol):
def __gt__(self: T, __other: T) -> bool:
...
class SupportsGe(Protocol):
def __ge__(self: T, __other: T) -> bool:
...
class SupportsLt(Protocol):
def __lt__(self: T, __other: T) -> bool:
...
class SupportsLe(Protocol):
def __le__(self: T, __other: T) -> bool:
...
class SupportsMod(Protocol):
def __mod__(self: T, __other: T) -> T:
...
class SupportsDiv(Protocol):
def __div__(self: T, __other: T) -> T:
...
class BaseMetadata:
"""Base class for all metadata.
This exists mainly so that implementers
can do `isinstance(..., BaseMetadata)` while traversing field annotations.
"""
__slots__ = ()
@dataclass(frozen=True, **SLOTS)
class Gt(BaseMetadata):
"""Gt(gt=x) implies that the value must be greater than x.
It can be used with any type that supports the ``>`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
gt: SupportsGt
@dataclass(frozen=True, **SLOTS)
class Ge(BaseMetadata):
"""Ge(ge=x) implies that the value must be greater than or equal to x.
It can be used with any type that supports the ``>=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
ge: SupportsGe
@dataclass(frozen=True, **SLOTS)
class Lt(BaseMetadata):
"""Lt(lt=x) implies that the value must be less than x.
It can be used with any type that supports the ``<`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
lt: SupportsLt
@dataclass(frozen=True, **SLOTS)
class Le(BaseMetadata):
"""Le(le=x) implies that the value must be less than or equal to x.
It can be used with any type that supports the ``<=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
le: SupportsLe
@runtime_checkable
class GroupedMetadata(Protocol):
"""A grouping of multiple objects, like typing.Unpack.
`GroupedMetadata` on its own is not metadata and has no meaning.
All of the constraints and metadata should be fully expressable
in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`.
Concrete implementations should override `GroupedMetadata.__iter__()`
to add their own metadata.
For example:
>>> @dataclass
>>> class Field(GroupedMetadata):
>>> gt: float | None = None
>>> description: str | None = None
...
>>> def __iter__(self) -> Iterable[object]:
>>> if self.gt is not None:
>>> yield Gt(self.gt)
>>> if self.description is not None:
>>> yield Description(self.gt)
Also see the implementation of `Interval` below for an example.
Parsers should recognize this and unpack it so that it can be used
both with and without unpacking:
- `Annotated[int, Field(...)]` (parser must unpack Field)
- `Annotated[int, *Field(...)]` (PEP-646)
""" # noqa: trailing-whitespace
@property
def __is_annotated_types_grouped_metadata__(self) -> Literal[True]:
return True
def __iter__(self) -> Iterator[object]:
...
if not TYPE_CHECKING:
__slots__ = () # allow subclasses to use slots
def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None:
# Basic ABC like functionality without the complexity of an ABC
super().__init_subclass__(*args, **kwargs)
if cls.__iter__ is GroupedMetadata.__iter__:
raise TypeError("Can't subclass GroupedMetadata without implementing __iter__")
def __iter__(self) -> Iterator[object]: # noqa: F811
raise NotImplementedError # more helpful than "None has no attribute..." type errors
@dataclass(frozen=True, **KW_ONLY, **SLOTS)
class Interval(GroupedMetadata):
"""Interval can express inclusive or exclusive bounds with a single object.
It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which
are interpreted the same way as the single-bound constraints.
"""
gt: Union[SupportsGt, None] = None
ge: Union[SupportsGe, None] = None
lt: Union[SupportsLt, None] = None
le: Union[SupportsLe, None] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack an Interval into zero or more single-bounds."""
if self.gt is not None:
yield Gt(self.gt)
if self.ge is not None:
yield Ge(self.ge)
if self.lt is not None:
yield Lt(self.lt)
if self.le is not None:
yield Le(self.le)
@dataclass(frozen=True, **SLOTS)
class MultipleOf(BaseMetadata):
"""MultipleOf(multiple_of=x) might be interpreted in two ways:
1. Python semantics, implying ``value % multiple_of == 0``, or
2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of``
We encourage users to be aware of these two common interpretations,
and libraries to carefully document which they implement.
"""
multiple_of: Union[SupportsDiv, SupportsMod]
@dataclass(frozen=True, **SLOTS)
class MinLen(BaseMetadata):
"""
MinLen() implies minimum inclusive length,
e.g. ``len(value) >= min_length``.
"""
min_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class MaxLen(BaseMetadata):
"""
MaxLen() implies maximum inclusive length,
e.g. ``len(value) <= max_length``.
"""
max_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class Len(GroupedMetadata):
"""
Len() implies that ``min_length <= len(value) <= max_length``.
Upper bound may be omitted or ``None`` to indicate no upper length bound.
"""
min_length: Annotated[int, Ge(0)] = 0
max_length: Optional[Annotated[int, Ge(0)]] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack a Len into zone or more single-bounds."""
if self.min_length > 0:
yield MinLen(self.min_length)
if self.max_length is not None:
yield MaxLen(self.max_length)
@dataclass(frozen=True, **SLOTS)
class Timezone(BaseMetadata):
"""Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive).
``Annotated[datetime, Timezone(None)]`` must be a naive datetime.
``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be
tz-aware but any timezone is allowed.
You may also pass a specific timezone string or tzinfo object such as
``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that
you only allow a specific timezone, though we note that this is often
a symptom of poor design.
"""
tz: Union[str, tzinfo, EllipsisType, None]
@dataclass(frozen=True, **SLOTS)
class Unit(BaseMetadata):
"""Indicates that the value is a physical quantity with the specified unit.
It is intended for usage with numeric types, where the value represents the
magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]``
or ``speed: Annotated[float, Unit('m/s')]``.
Interpretation of the unit string is left to the discretion of the consumer.
It is suggested to follow conventions established by python libraries that work
with physical quantities, such as
- ``pint`` : <https://pint.readthedocs.io/en/stable/>
- ``astropy.units``: <https://docs.astropy.org/en/stable/units/>
For indicating a quantity with a certain dimensionality but without a specific unit
it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`.
Note, however, ``annotated_types`` itself makes no use of the unit string.
"""
unit: str
@dataclass(frozen=True, **SLOTS)
class Predicate(BaseMetadata):
"""``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values.
Users should prefer statically inspectable metadata, but if you need the full
power and flexibility of arbitrary runtime predicates... here it is.
We provide a few predefined predicates for common string constraints:
``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and
``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which
can be given special handling, and avoid indirection like ``lambda s: s.lower()``.
Some libraries might have special logic to handle certain predicates, e.g. by
checking for `str.isdigit` and using its presence to both call custom logic to
enforce digit-only strings, and customise some generated external schema.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting exception.
"""
func: Callable[[Any], bool]
def __repr__(self) -> str:
if getattr(self.func, "__name__", "<lambda>") == "<lambda>":
return f"{self.__class__.__name__}({self.func!r})"
if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and (
namespace := getattr(self.func.__self__, "__name__", None)
):
return f"{self.__class__.__name__}({namespace}.{self.func.__name__})"
if isinstance(self.func, type(str.isascii)): # method descriptor
return f"{self.__class__.__name__}({self.func.__qualname__})"
return f"{self.__class__.__name__}({self.func.__name__})"
@dataclass
class Not:
func: Callable[[Any], bool]
def __call__(self, __v: Any) -> bool:
return not self.func(__v)
_StrType = TypeVar("_StrType", bound=str)
LowerCase = Annotated[_StrType, Predicate(str.islower)]
"""
Return True if the string is a lowercase string, False otherwise.
A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.
""" # noqa: E501
UpperCase = Annotated[_StrType, Predicate(str.isupper)]
"""
Return True if the string is an uppercase string, False otherwise.
A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.
""" # noqa: E501
IsDigit = Annotated[_StrType, Predicate(str.isdigit)]
IsDigits = IsDigit # type: ignore # plural for backwards compatibility, see #63
"""
Return True if the string is a digit string, False otherwise.
A string is a digit string if all characters in the string are digits and there is at least one character in the string.
""" # noqa: E501
IsAscii = Annotated[_StrType, Predicate(str.isascii)]
"""
Return True if all characters in the string are ASCII, False otherwise.
ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.
"""
_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex])
IsFinite = Annotated[_NumericType, Predicate(math.isfinite)]
"""Return True if x is neither an infinity nor a NaN, and False otherwise."""
IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))]
"""Return True if x is one of infinity or NaN, and False otherwise"""
IsNan = Annotated[_NumericType, Predicate(math.isnan)]
"""Return True if x is a NaN (not a number), and False otherwise."""
IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))]
"""Return True if x is anything but NaN (not a number), and False otherwise."""
IsInfinite = Annotated[_NumericType, Predicate(math.isinf)]
"""Return True if x is a positive or negative infinity, and False otherwise."""
IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))]
"""Return True if x is neither a positive or negative infinity, and False otherwise."""
try:
from typing_extensions import DocInfo, doc # type: ignore [attr-defined]
except ImportError:
@dataclass(frozen=True, **SLOTS)
class DocInfo: # type: ignore [no-redef]
""" "
The return value of doc(), mainly to be used by tools that want to extract the
Annotated documentation at runtime.
"""
documentation: str
"""The documentation string passed to doc()."""
def doc(
documentation: str,
) -> DocInfo:
"""
Add documentation to a type annotation inside of Annotated.
For example:
>>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ...
"""
return DocInfo(documentation)

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import math
import sys
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal
from typing import Any, Dict, Iterable, Iterator, List, NamedTuple, Set, Tuple
if sys.version_info < (3, 9):
from typing_extensions import Annotated
else:
from typing import Annotated
import annotated_types as at
class Case(NamedTuple):
"""
A test case for `annotated_types`.
"""
annotation: Any
valid_cases: Iterable[Any]
invalid_cases: Iterable[Any]
def cases() -> Iterable[Case]:
# Gt, Ge, Lt, Le
yield Case(Annotated[int, at.Gt(4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[float, at.Gt(0.5)], (0.6, 0.7, 0.8, 0.9), (0.5, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Gt(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(date(2000, 1, 1))],
[date(2000, 1, 2), date(2000, 1, 3)],
[date(2000, 1, 1), date(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(Decimal('1.123'))],
[Decimal('1.1231'), Decimal('123')],
[Decimal('1.123'), Decimal('0')],
)
yield Case(Annotated[int, at.Ge(4)], (4, 5, 6, 1000, 4), (0, -1))
yield Case(Annotated[float, at.Ge(0.5)], (0.5, 0.6, 0.7, 0.8, 0.9), (0.4, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Ge(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(1998, 1, 1), datetime(1999, 12, 31)],
)
yield Case(Annotated[int, at.Lt(4)], (0, -1), (4, 5, 6, 1000, 4))
yield Case(Annotated[float, at.Lt(0.5)], (0.4, 0.0, -0.1), (0.5, 0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Lt(datetime(2000, 1, 1))],
[datetime(1999, 12, 31), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
yield Case(Annotated[int, at.Le(4)], (4, 0, -1), (5, 6, 1000))
yield Case(Annotated[float, at.Le(0.5)], (0.5, 0.0, -0.1), (0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Le(datetime(2000, 1, 1))],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
# Interval
yield Case(Annotated[int, at.Interval(gt=4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[int, at.Interval(gt=4, lt=10)], (5, 6), (4, 10, 1000, 0, -1))
yield Case(Annotated[float, at.Interval(ge=0.5, le=1)], (0.5, 0.9, 1), (0.49, 1.1))
yield Case(
Annotated[datetime, at.Interval(gt=datetime(2000, 1, 1), le=datetime(2000, 1, 3))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(2000, 1, 4)],
)
yield Case(Annotated[int, at.MultipleOf(multiple_of=3)], (0, 3, 9), (1, 2, 4))
yield Case(Annotated[float, at.MultipleOf(multiple_of=0.5)], (0, 0.5, 1, 1.5), (0.4, 1.1))
# lengths
yield Case(Annotated[str, at.MinLen(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[str, at.Len(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[List[int], at.MinLen(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[List[int], at.Len(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[str, at.MaxLen(4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[str, at.Len(0, 4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[List[str], at.MaxLen(4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[List[str], at.Len(0, 4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[str, at.Len(3, 5)], ('123', '12345'), ('', '1', '12', '123456', 'x' * 10))
yield Case(Annotated[str, at.Len(3, 3)], ('123',), ('12', '1234'))
yield Case(Annotated[Dict[int, int], at.Len(2, 3)], [{1: 1, 2: 2}], [{}, {1: 1}, {1: 1, 2: 2, 3: 3, 4: 4}])
yield Case(Annotated[Set[int], at.Len(2, 3)], ({1, 2}, {1, 2, 3}), (set(), {1}, {1, 2, 3, 4}))
yield Case(Annotated[Tuple[int, ...], at.Len(2, 3)], ((1, 2), (1, 2, 3)), ((), (1,), (1, 2, 3, 4)))
# Timezone
yield Case(
Annotated[datetime, at.Timezone(None)], [datetime(2000, 1, 1)], [datetime(2000, 1, 1, tzinfo=timezone.utc)]
)
yield Case(
Annotated[datetime, at.Timezone(...)], [datetime(2000, 1, 1, tzinfo=timezone.utc)], [datetime(2000, 1, 1)]
)
yield Case(
Annotated[datetime, at.Timezone(timezone.utc)],
[datetime(2000, 1, 1, tzinfo=timezone.utc)],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
yield Case(
Annotated[datetime, at.Timezone('Europe/London')],
[datetime(2000, 1, 1, tzinfo=timezone(timedelta(0), name='Europe/London'))],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
# Quantity
yield Case(Annotated[float, at.Unit(unit='m')], (5, 4.2), ('5m', '4.2m'))
# predicate types
yield Case(at.LowerCase[str], ['abc', 'foobar'], ['', 'A', 'Boom'])
yield Case(at.UpperCase[str], ['ABC', 'DEFO'], ['', 'a', 'abc', 'AbC'])
yield Case(at.IsDigit[str], ['123'], ['', 'ab', 'a1b2'])
yield Case(at.IsAscii[str], ['123', 'foo bar'], ['£100', '😊', 'whatever 👀'])
yield Case(Annotated[int, at.Predicate(lambda x: x % 2 == 0)], [0, 2, 4], [1, 3, 5])
yield Case(at.IsFinite[float], [1.23], [math.nan, math.inf, -math.inf])
yield Case(at.IsNotFinite[float], [math.nan, math.inf], [1.23])
yield Case(at.IsNan[float], [math.nan], [1.23, math.inf])
yield Case(at.IsNotNan[float], [1.23, math.inf], [math.nan])
yield Case(at.IsInfinite[float], [math.inf], [math.nan, 1.23])
yield Case(at.IsNotInfinite[float], [math.nan, 1.23], [math.inf])
# check stacked predicates
yield Case(at.IsInfinite[Annotated[float, at.Predicate(lambda x: x > 0)]], [math.inf], [-math.inf, 1.23, math.nan])
# doc
yield Case(Annotated[int, at.doc("A number")], [1, 2], [])
# custom GroupedMetadata
class MyCustomGroupedMetadata(at.GroupedMetadata):
def __iter__(self) -> Iterator[at.Predicate]:
yield at.Predicate(lambda x: float(x).is_integer())
yield Case(Annotated[float, MyCustomGroupedMetadata()], [0, 2.0], [0.01, 1.5])

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Metadata-Version: 2.4
Name: anyio
Version: 4.13.0
Summary: High-level concurrency and networking framework on top of asyncio or Trio
Author-email: Alex Grönholm <alex.gronholm@nextday.fi>
License-Expression: MIT
Project-URL: Documentation, https://anyio.readthedocs.io/en/latest/
Project-URL: Changelog, https://anyio.readthedocs.io/en/stable/versionhistory.html
Project-URL: Source code, https://github.com/agronholm/anyio
Project-URL: Issue tracker, https://github.com/agronholm/anyio/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Framework :: AnyIO
Classifier: Typing :: Typed
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: exceptiongroup>=1.0.2; python_version < "3.11"
Requires-Dist: idna>=2.8
Requires-Dist: typing_extensions>=4.5; python_version < "3.13"
Provides-Extra: trio
Requires-Dist: trio>=0.32.0; extra == "trio"
Dynamic: license-file
.. image:: https://github.com/agronholm/anyio/actions/workflows/test.yml/badge.svg
:target: https://github.com/agronholm/anyio/actions/workflows/test.yml
:alt: Build Status
.. image:: https://coveralls.io/repos/github/agronholm/anyio/badge.svg?branch=master
:target: https://coveralls.io/github/agronholm/anyio?branch=master
:alt: Code Coverage
.. image:: https://readthedocs.org/projects/anyio/badge/?version=latest
:target: https://anyio.readthedocs.io/en/latest/?badge=latest
:alt: Documentation
.. image:: https://badges.gitter.im/gitterHQ/gitter.svg
:target: https://gitter.im/python-trio/AnyIO
:alt: Gitter chat
.. image:: https://tidelift.com/badges/package/pypi/anyio
:target: https://tidelift.com/subscription/pkg/pypi-anyio
:alt: Tidelift
AnyIO is an asynchronous networking and concurrency library that works on top of either asyncio_ or
Trio_. It implements Trio-like `structured concurrency`_ (SC) on top of asyncio and works in harmony
with the native SC of Trio itself.
Applications and libraries written against AnyIO's API will run unmodified on either asyncio_ or
Trio_. AnyIO can also be adopted into a library or application incrementally – bit by bit, no full
refactoring necessary. It will blend in with the native libraries of your chosen backend.
To find out why you might want to use AnyIO's APIs instead of asyncio's, you can read about it
`here <https://anyio.readthedocs.io/en/stable/why.html>`_.
Documentation
-------------
View full documentation at: https://anyio.readthedocs.io/
Features
--------
AnyIO offers the following functionality:
* Task groups (nurseries_ in trio terminology)
* High-level networking (TCP, UDP and UNIX sockets)
* `Happy eyeballs`_ algorithm for TCP connections (more robust than that of asyncio on Python
3.8)
* async/await style UDP sockets (unlike asyncio where you still have to use Transports and
Protocols)
* A versatile API for byte streams and object streams
* Inter-task synchronization and communication (locks, conditions, events, semaphores, object
streams)
* Worker threads
* Subprocesses
* Subinterpreter support for code parallelization (on Python 3.13 and later)
* Asynchronous file I/O (using worker threads)
* Signal handling
* Asynchronous version of the functools_ module
AnyIO also comes with its own pytest_ plugin which also supports asynchronous fixtures.
It even works with the popular Hypothesis_ library.
.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _Trio: https://github.com/python-trio/trio
.. _structured concurrency: https://en.wikipedia.org/wiki/Structured_concurrency
.. _nurseries: https://trio.readthedocs.io/en/stable/reference-core.html#nurseries-and-spawning
.. _Happy eyeballs: https://en.wikipedia.org/wiki/Happy_Eyeballs
.. _pytest: https://docs.pytest.org/en/latest/
.. _functools: https://docs.python.org/3/library/functools.html
.. _Hypothesis: https://hypothesis.works/
Security contact information
----------------------------
To report a security vulnerability, please use the `Tidelift security contact`_.
Tidelift will coordinate the fix and disclosure.
.. _Tidelift security contact: https://tidelift.com/security

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5
backend/venv/lib/python3.12/site-packages/anyio-4.13.0.dist-info/WHEEL Normal file
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Wheel-Version: 1.0
Generator: setuptools (82.0.1)
Root-Is-Purelib: true
Tag: py3-none-any

2
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[pytest11]
anyio = anyio.pytest_plugin

20
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The MIT License (MIT)
Copyright (c) 2018 Alex Grönholm
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

1
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anyio

111
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from __future__ import annotations
from ._core._contextmanagers import AsyncContextManagerMixin as AsyncContextManagerMixin
from ._core._contextmanagers import ContextManagerMixin as ContextManagerMixin
from ._core._eventloop import current_time as current_time
from ._core._eventloop import get_all_backends as get_all_backends
from ._core._eventloop import get_available_backends as get_available_backends
from ._core._eventloop import get_cancelled_exc_class as get_cancelled_exc_class
from ._core._eventloop import run as run
from ._core._eventloop import sleep as sleep
from ._core._eventloop import sleep_forever as sleep_forever
from ._core._eventloop import sleep_until as sleep_until
from ._core._exceptions import BrokenResourceError as BrokenResourceError
from ._core._exceptions import BrokenWorkerInterpreter as BrokenWorkerInterpreter
from ._core._exceptions import BrokenWorkerProcess as BrokenWorkerProcess
from ._core._exceptions import BusyResourceError as BusyResourceError
from ._core._exceptions import ClosedResourceError as ClosedResourceError
from ._core._exceptions import ConnectionFailed as ConnectionFailed
from ._core._exceptions import DelimiterNotFound as DelimiterNotFound
from ._core._exceptions import EndOfStream as EndOfStream
from ._core._exceptions import IncompleteRead as IncompleteRead
from ._core._exceptions import NoEventLoopError as NoEventLoopError
from ._core._exceptions import RunFinishedError as RunFinishedError
from ._core._exceptions import TypedAttributeLookupError as TypedAttributeLookupError
from ._core._exceptions import WouldBlock as WouldBlock
from ._core._fileio import AsyncFile as AsyncFile
from ._core._fileio import Path as Path
from ._core._fileio import open_file as open_file
from ._core._fileio import wrap_file as wrap_file
from ._core._resources import aclose_forcefully as aclose_forcefully
from ._core._signals import open_signal_receiver as open_signal_receiver
from ._core._sockets import TCPConnectable as TCPConnectable
from ._core._sockets import UNIXConnectable as UNIXConnectable
from ._core._sockets import as_connectable as as_connectable
from ._core._sockets import connect_tcp as connect_tcp
from ._core._sockets import connect_unix as connect_unix
from ._core._sockets import create_connected_udp_socket as create_connected_udp_socket
from ._core._sockets import (
create_connected_unix_datagram_socket as create_connected_unix_datagram_socket,
)
from ._core._sockets import create_tcp_listener as create_tcp_listener
from ._core._sockets import create_udp_socket as create_udp_socket
from ._core._sockets import create_unix_datagram_socket as create_unix_datagram_socket
from ._core._sockets import create_unix_listener as create_unix_listener
from ._core._sockets import getaddrinfo as getaddrinfo
from ._core._sockets import getnameinfo as getnameinfo
from ._core._sockets import notify_closing as notify_closing
from ._core._sockets import wait_readable as wait_readable
from ._core._sockets import wait_socket_readable as wait_socket_readable
from ._core._sockets import wait_socket_writable as wait_socket_writable
from ._core._sockets import wait_writable as wait_writable
from ._core._streams import create_memory_object_stream as create_memory_object_stream
from ._core._subprocesses import open_process as open_process
from ._core._subprocesses import run_process as run_process
from ._core._synchronization import CapacityLimiter as CapacityLimiter
from ._core._synchronization import (
CapacityLimiterStatistics as CapacityLimiterStatistics,
)
from ._core._synchronization import Condition as Condition
from ._core._synchronization import ConditionStatistics as ConditionStatistics
from ._core._synchronization import Event as Event
from ._core._synchronization import EventStatistics as EventStatistics
from ._core._synchronization import Lock as Lock
from ._core._synchronization import LockStatistics as LockStatistics
from ._core._synchronization import ResourceGuard as ResourceGuard
from ._core._synchronization import Semaphore as Semaphore
from ._core._synchronization import SemaphoreStatistics as SemaphoreStatistics
from ._core._tasks import TASK_STATUS_IGNORED as TASK_STATUS_IGNORED
from ._core._tasks import CancelScope as CancelScope
from ._core._tasks import create_task_group as create_task_group
from ._core._tasks import current_effective_deadline as current_effective_deadline
from ._core._tasks import fail_after as fail_after
from ._core._tasks import move_on_after as move_on_after
from ._core._tempfile import NamedTemporaryFile as NamedTemporaryFile
from ._core._tempfile import SpooledTemporaryFile as SpooledTemporaryFile
from ._core._tempfile import TemporaryDirectory as TemporaryDirectory
from ._core._tempfile import TemporaryFile as TemporaryFile
from ._core._tempfile import gettempdir as gettempdir
from ._core._tempfile import gettempdirb as gettempdirb
from ._core._tempfile import mkdtemp as mkdtemp
from ._core._tempfile import mkstemp as mkstemp
from ._core._testing import TaskInfo as TaskInfo
from ._core._testing import get_current_task as get_current_task
from ._core._testing import get_running_tasks as get_running_tasks
from ._core._testing import wait_all_tasks_blocked as wait_all_tasks_blocked
from ._core._typedattr import TypedAttributeProvider as TypedAttributeProvider
from ._core._typedattr import TypedAttributeSet as TypedAttributeSet
from ._core._typedattr import typed_attribute as typed_attribute
# Re-export imports so they look like they live directly in this package
for __value in list(locals().values()):
if getattr(__value, "__module__", "").startswith("anyio."):
__value.__module__ = __name__
del __value
def __getattr__(attr: str) -> type[BrokenWorkerInterpreter]:
"""Support deprecated aliases."""
if attr == "BrokenWorkerIntepreter":
import warnings
warnings.warn(
"The 'BrokenWorkerIntepreter' alias is deprecated, use 'BrokenWorkerInterpreter' instead.",
DeprecationWarning,
stacklevel=2,
)
return BrokenWorkerInterpreter
raise AttributeError(f"module {__name__!r} has no attribute {attr!r}")

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from __future__ import annotations
import asyncio
import socket
import threading
from collections.abc import Callable
from selectors import EVENT_READ, EVENT_WRITE, DefaultSelector
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from _typeshed import FileDescriptorLike
_selector_lock = threading.Lock()
_selector: Selector | None = None
class Selector:
def __init__(self) -> None:
self._thread = threading.Thread(target=self.run, name="AnyIO socket selector")
self._selector = DefaultSelector()
self._send, self._receive = socket.socketpair()
self._send.setblocking(False)
self._receive.setblocking(False)
# This somewhat reduces the amount of memory wasted queueing up data
# for wakeups. With these settings, maximum number of 1-byte sends
# before getting BlockingIOError:
# Linux 4.8: 6
# macOS (darwin 15.5): 1
# Windows 10: 525347
# Windows you're weird. (And on Windows setting SNDBUF to 0 makes send
# blocking, even on non-blocking sockets, so don't do that.)
self._receive.setsockopt(socket.SOL_SOCKET, socket.SO_RCVBUF, 1)
self._send.setsockopt(socket.SOL_SOCKET, socket.SO_SNDBUF, 1)
# On Windows this is a TCP socket so this might matter. On other
# platforms this fails b/c AF_UNIX sockets aren't actually TCP.
try:
self._send.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
except OSError:
pass
self._selector.register(self._receive, EVENT_READ)
self._closed = False
def start(self) -> None:
self._thread.start()
threading._register_atexit(self._stop) # type: ignore[attr-defined]
def _stop(self) -> None:
global _selector
self._closed = True
self._notify_self()
self._send.close()
self._thread.join()
self._selector.unregister(self._receive)
self._receive.close()
self._selector.close()
_selector = None
assert not self._selector.get_map(), (
"selector still has registered file descriptors after shutdown"
)
def _notify_self(self) -> None:
try:
self._send.send(b"\x00")
except BlockingIOError:
pass
def add_reader(self, fd: FileDescriptorLike, callback: Callable[[], Any]) -> None:
loop = asyncio.get_running_loop()
try:
key = self._selector.get_key(fd)
except KeyError:
self._selector.register(fd, EVENT_READ, {EVENT_READ: (loop, callback)})
else:
if EVENT_READ in key.data:
raise ValueError(
"this file descriptor is already registered for reading"
)
key.data[EVENT_READ] = loop, callback
self._selector.modify(fd, key.events | EVENT_READ, key.data)
self._notify_self()
def add_writer(self, fd: FileDescriptorLike, callback: Callable[[], Any]) -> None:
loop = asyncio.get_running_loop()
try:
key = self._selector.get_key(fd)
except KeyError:
self._selector.register(fd, EVENT_WRITE, {EVENT_WRITE: (loop, callback)})
else:
if EVENT_WRITE in key.data:
raise ValueError(
"this file descriptor is already registered for writing"
)
key.data[EVENT_WRITE] = loop, callback
self._selector.modify(fd, key.events | EVENT_WRITE, key.data)
self._notify_self()
def remove_reader(self, fd: FileDescriptorLike) -> bool:
try:
key = self._selector.get_key(fd)
except KeyError:
return False
if new_events := key.events ^ EVENT_READ:
del key.data[EVENT_READ]
self._selector.modify(fd, new_events, key.data)
else:
self._selector.unregister(fd)
return True
def remove_writer(self, fd: FileDescriptorLike) -> bool:
try:
key = self._selector.get_key(fd)
except KeyError:
return False
if new_events := key.events ^ EVENT_WRITE:
del key.data[EVENT_WRITE]
self._selector.modify(fd, new_events, key.data)
else:
self._selector.unregister(fd)
return True
def run(self) -> None:
while not self._closed:
for key, events in self._selector.select():
if key.fileobj is self._receive:
try:
while self._receive.recv(4096):
pass
except BlockingIOError:
pass
continue
if events & EVENT_READ:
loop, callback = key.data[EVENT_READ]
self.remove_reader(key.fd)
try:
loop.call_soon_threadsafe(callback)
except RuntimeError:
pass # the loop was already closed
if events & EVENT_WRITE:
loop, callback = key.data[EVENT_WRITE]
self.remove_writer(key.fd)
try:
loop.call_soon_threadsafe(callback)
except RuntimeError:
pass # the loop was already closed
def get_selector() -> Selector:
global _selector
with _selector_lock:
if _selector is None:
_selector = Selector()
_selector.start()
return _selector

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