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docs/en/docs/advanced/dataclasses.md
In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation. In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement: {* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *} 1. We still import `field` from standard `dataclasses`.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon Oct 28 10:35:06 UTC 2024 - 4K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/hash/MessageDigestHashFunctionTest.java
.put("MD5", Hashing.md5()) .put("SHA", Hashing.sha1()) // Not the official name, but still works .put("SHA1", Hashing.sha1()) // Not the official name, but still works .put("sHa-1", Hashing.sha1()) // Not the official name, but still works .put("SHA-1", Hashing.sha1()) .put("SHA-256", Hashing.sha256()) .put("SHA-384", Hashing.sha384())
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue Jul 23 14:22:54 UTC 2024 - 4.1K bytes - Viewed (0) -
okhttp/src/main/kotlin/okhttp3/Callback.kt
* response body is [closed][ResponseBody]. The recipient of the callback may consume the response * body on another thread. * * Note that transport-layer success (receiving a HTTP response code, headers and body) does not * necessarily indicate application-layer success: `response` may still indicate an unhappy HTTP * response code like 404 or 500. */
Registered: Fri Nov 01 11:42:11 UTC 2024 - Last Modified: Mon Jan 08 01:13:22 UTC 2024 - 1.6K bytes - Viewed (0) -
docs/en/docs/deployment/versions.md
**FastAPI** is already being used in production in many applications and systems. And the test coverage is kept at 100%. But its development is still moving quickly. New features are added frequently, bugs are fixed regularly, and the code is still continuously improving.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Aug 25 02:44:06 UTC 2024 - 3.4K bytes - Viewed (0) -
docs/erasure/README.md
## Why is Erasure Code useful?
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Sep 29 04:28:45 UTC 2022 - 4.1K bytes - Viewed (0) -
docs/en/docs/how-to/conditional-openapi.md
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon Oct 28 11:21:54 UTC 2024 - 2.3K bytes - Viewed (0) -
docs/missing-translation.md
/// warning The current page still doesn't have a translation for this language. But you can help translating it: [Contributing](https://fastapi.tiangolo.com/contributing/){.internal-link target=_blank}.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 211 bytes - Viewed (0) -
guava-tests/test/com/google/common/hash/MessageDigestHashFunctionTest.java
.put("MD5", Hashing.md5()) .put("SHA", Hashing.sha1()) // Not the official name, but still works .put("SHA1", Hashing.sha1()) // Not the official name, but still works .put("sHa-1", Hashing.sha1()) // Not the official name, but still works .put("SHA-1", Hashing.sha1()) .put("SHA-256", Hashing.sha256()) .put("SHA-384", Hashing.sha384())
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue Jul 23 14:22:54 UTC 2024 - 4.1K bytes - Viewed (0) -
guava-tests/test/com/google/common/collect/PeekingIteratorTest.java
assertEquals( "next() should still return first element after peeking", "A", peekingIterator.next()); assertEquals("Should be able to peek() at middle element", "B", peekingIterator.peek()); assertEquals( "Should be able to peek() middle element multiple times", "B", peekingIterator.peek()); assertEquals( "next() should still return middle element after peeking", "B", peekingIterator.next());
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Wed Oct 30 16:15:19 UTC 2024 - 8.6K bytes - Viewed (0) -
docs/en/docs/tutorial/body-updates.md
Like `item.model_dump(exclude_unset=True)`. /// info In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`. The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2. ///
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 5.6K bytes - Viewed (0)