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docs/en/docs/tutorial/security/first-steps.md
* But it needs authentication for that specific endpoint. * So, to authenticate with our API, it sends a header `Authorization` with a value of `Bearer ` plus the token. * If the token contains `foobar`, the content of the `Authorization` header would be: `Bearer foobar`. ## **FastAPI**'s `OAuth2PasswordBearer`
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.github/actions/people/app/main.py
import logging import subprocess import sys from collections import Counter, defaultdict from datetime import datetime, timedelta, timezone from pathlib import Path from typing import Any, Container, DefaultDict, Dict, List, Set, Union import httpx import yaml from github import Github from pydantic import BaseModel, SecretStr from pydantic_settings import BaseSettings github_graphql_url = "https://api.github.com/graphql"
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 17:38:21 GMT 2024 - 19.2K bytes - Viewed (1) -
docs/en/docs/how-to/async-sql-encode-databases.md
`note.dict()` returns a `dict` with its data, something like: ```Python { "text": "Some note", "completed": False, } ``` but it doesn't have the `id` field. So we create a new `dict`, that contains the key-value pairs from `note.dict()` with: ```Python {**note.dict()} ``` `**note.dict()` "unpacks" the key value pairs directly, so, `{**note.dict()}` would be, more or less, a copy of `note.dict()`.
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docs/en/docs/how-to/nosql-databases-couchbase.md
It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments. So, if the `dict` contains: ```Python { "username": "johndoe", "hashed_password": "some_hash", } ``` It will be passed to `UserInDB` as: ```Python
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pyproject.toml
"UP", # pyupgrade ] ignore = [ "E501", # line too long, handled by black "B008", # do not perform function calls in argument defaults "C901", # too complex "W191", # indentation contains tabs ] [tool.ruff.lint.per-file-ignores] "__init__.py" = ["F401"] "docs_src/dependencies/tutorial007.py" = ["F821"] "docs_src/dependencies/tutorial008.py" = ["F821"]
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docs/ko/docs/deployment/docker.md
!!! info "정보" 만약 여러분이 쿠버네티스를 사용하고 있다면, 아마도 이는 <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>일 것입니다. 만약 여러분의 이용 사례에서 이전 단계들을 **병렬적으로 여러번** 수행하는데에 문제가 없다면 (예를 들어 데이터베이스 이전을 실행하지 않고 데이터베이스가 준비되었는지 확인만 하는 경우), 메인 프로세스를 시작하기 전에 이 단계들을 각 컨테이너에 넣을 수 있습니다. ### 단일 컨테이너
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docs/en/docs/release-notes.md
the `response_model` (e.g. you return a `UserInDB` that inherits from `User` but contains extra fields, like `hashed_password`, and `User` is used in the `response_model`), it would still pass the validation (because `UserInDB` is a subclass of `User`) and the object would be returned as-is, including the `hashed_password`. To fix this, the declared `response_model` is cloned, if it is a Pydantic model class (or contains Pydantic model classes in it, e.g. in a `List[Item]`), the Pydantic model class(es)...
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docs/en/docs/advanced/openapi-callbacks.md
"paid": true } ``` and it would expect a response from that *external API* with a JSON body like: ```JSON { "ok": true } ``` !!! tip Notice how the callback URL used contains the URL received as a query parameter in `callback_url` (`https://www.external.org/events`) and also the invoice `id` from inside of the JSON body (`2expen51ve`). ### Add the callback router
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docs/en/docs/js/termynal.js
*/ constructor(container = '#termynal', options = {}) { this.container = (typeof container === 'string') ? document.querySelector(container) : container; this.pfx = `data-${options.prefix || 'ty'}`; this.originalStartDelay = this.startDelay = options.startDelay || parseFloat(this.container.getAttribute(`${this.pfx}-startDelay`)) || 600;
JavaScript - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu May 12 00:06:16 GMT 2022 - 9.3K bytes - Viewed (0) -
docs/en/docs/advanced/advanced-dependencies.md
But there could be cases where you want to be able to set parameters on the dependency, without having to declare many different functions or classes. Let's imagine that we want to have a dependency that checks if the query parameter `q` contains some fixed content. But we want to be able to parameterize that fixed content. ## A "callable" instance In Python there's a way to make an instance of a class a "callable".
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