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docs/fr/docs/async.md
## Détails techniques Les versions modernes de Python supportent le **code asynchrone** grâce aux **"coroutines"** avec les syntaxes **`async` et `await`**. Analysons les différentes parties de cette phrase dans les sections suivantes : * **Code asynchrone** * **`async` et `await`** * **Coroutines** ## Code asynchrone
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docs/en/docs/async.md
## Technical Details Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax. Let's see that phrase by parts in the sections below: * **Asynchronous Code** * **`async` and `await`** * **Coroutines** ## Asynchronous Code
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.github/ISSUE_TEMPLATE/config.yml
blank_issues_enabled: false contact_links: - name: Security Contact about: Please report security vulnerabilities to ******@****.*** - name: Question or Problem about: Ask a question or ask about a problem in GitHub Discussions. url: https://github.com/tiangolo/fastapi/discussions/categories/questions - name: Feature Request
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tests/test_query.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 21:56:59 GMT 2024 - 11.4K bytes - Viewed (0) -
tests/test_tutorial/test_query_params/test_tutorial006_py310.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 6.2K bytes - Viewed (0) -
docs_src/generate_clients/tutorial004.js
import * as fs from 'fs' async function modifyOpenAPIFile(filePath) { try { const data = await fs.promises.readFile(filePath) const openapiContent = JSON.parse(data) const paths = openapiContent.paths for (const pathKey of Object.keys(paths)) { const pathData = paths[pathKey] for (const method of Object.keys(pathData)) { const operation = pathData[method] if (operation.tags && operation.tags.length > 0) {
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fastapi/params.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 27.5K bytes - Viewed (1) -
fastapi/utils.py
new_field.pre_validators = field.pre_validators # type: ignore[attr-defined] new_field.post_validators = field.post_validators # type: ignore[attr-defined] new_field.parse_json = field.parse_json # type: ignore[attr-defined] new_field.shape = field.shape # type: ignore[attr-defined] new_field.populate_validators() # type: ignore[attr-defined] return new_field
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 7.8K bytes - Viewed (0) -
tests/test_tutorial/test_handling_errors/test_tutorial005.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 4.3K bytes - Viewed (0) -
docs/en/docs/tutorial/path-params.md
```JSON { "detail": [ { "type": "int_parsing", "loc": [ "path", "item_id" ], "msg": "Input should be a valid integer, unable to parse string as an integer", "input": "foo", "url": "https://errors.pydantic.dev/2.1/v/int_parsing" } ] } ``` because the path parameter `item_id` had a value of `"foo"`, which is not an `int`.
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