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docs/fr/docs/features.md
* Aide votre **<abbr title="Integrated Development Environment, il s'agit de votre éditeur de code">IDE</abbr>/<abbr title="Programme qui analyse le code à la recherche d'erreurs">linter</abbr>/cerveau**: * Parce que les structures de données de pydantic consistent seulement en une instance de classe que vous définissez; l'auto-complétion, le linting, mypy et votre intuition devrait être largement suffisante pour valider vos données.
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docs/en/docs/tutorial/query-params-str-validations.md
{!> ../../../docs_src/query_params_str_validations/tutorial003.py!} ``` ## Add regular expressions You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> `pattern` that the parameter should match: === "Python 3.10+" ```Python hl_lines="11" {!> ../../../docs_src/query_params_str_validations/tutorial004_an_py310.py!}
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tests/test_tutorial/test_query_params_str_validations/test_tutorial010.py
"operationId": "read_items_items__get", "parameters": [ { "description": "Query string for the items to search in the database that have a good match", "required": False, "deprecated": True, "schema": IsDict( {
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requirements-docs.txt
-e . -r requirements-docs-tests.txt mkdocs-material==9.5.18 mdx-include >=1.4.1,<2.0.0 mkdocs-redirects>=1.2.1,<1.3.0 typer >=0.12.0 pyyaml >=5.3.1,<7.0.0 # For Material for MkDocs, Chinese search jieba==0.42.1 # For image processing by Material for MkDocs pillow==10.3.0 # For image processing by Material for MkDocs cairosvg==2.7.0 mkdocstrings[python]==0.24.3 griffe-typingdoc==0.2.2 # For griffe, it formats with black black==24.3.0
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fastapi/openapi/docs.py
if (/code|token|error/.test(window.location.hash)) { qp = window.location.hash.substring(1).replace('?', '&'); } else { qp = location.search.substring(1); } arr = qp.split("&"); arr.forEach(function (v,i,_arr) { _arr[i] = '"' + v.replace('=', '":"') + '"';}); qp = qp ? JSON.parse('{' + arr.join() + '}',
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README.md
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tests/test_tutorial/test_query_params_str_validations/test_tutorial010_an_py39.py
"operationId": "read_items_items__get", "parameters": [ { "description": "Query string for the items to search in the database that have a good match", "required": False, "deprecated": True, "schema": IsDict( {
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docs/en/data/sponsors.yml
title: FastAPI video courses on demand from people you trust img: https://fastapi.tiangolo.com/img/sponsors/talkpython-v2.jpg - url: https://github.com/deepset-ai/haystack/ title: Build powerful search from composable, open source building blocks img: https://fastapi.tiangolo.com/img/sponsors/haystack-fastapi.svg - url: https://databento.com/ title: Pay as you go for market data
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tests/test_tutorial/test_query_params_str_validations/test_tutorial010_py310.py
"operationId": "read_items_items__get", "parameters": [ { "description": "Query string for the items to search in the database that have a good match", "required": False, "deprecated": True, "schema": IsDict( {
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tests/test_tutorial/test_query_params_str_validations/test_tutorial010_an_py310.py
"operationId": "read_items_items__get", "parameters": [ { "description": "Query string for the items to search in the database that have a good match", "required": False, "deprecated": True, "schema": IsDict( {
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