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docs/distributed/README.md
- **Each object is written to a single EC set, and therefore is spread over no more than 16 drives.** - **All the nodes running distributed MinIO setup are recommended to be homogeneous, i.e. same operating system, same number of drives and same network interconnects.**
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docs/en/docs/advanced/security/http-basic-auth.md
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WORKSPACE
) # buildifier: disable=same-origin-load load("@rules_python//python:repositories.bzl", "py_repositories") py_repositories() load("@rules_python//python:repositories.bzl", "python_register_toolchains") # buildifier: disable=same-origin-load load( "//tensorflow/tools/toolchains/python:python_repo.bzl", "python_repository", ) python_repository(name = "python_version_repo")
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okhttp-brotli/src/test/java/okhttp3/brotli/BrotliInterceptorTest.kt
} @Test fun testNoUncompress() { val response = response("https://httpbin.org/brotli", "XXXX".encodeUtf8()) val same = uncompress(response) val responseString = same.body.string() assertThat(responseString).isEqualTo("XXXX") } @Test fun testFailsUncompress() { val response =
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docs/en/docs/how-to/extending-openapi.md
!!! info The parameter `summary` is available in OpenAPI 3.1.0 and above, supported by FastAPI 0.99.0 and above. ## Overriding the defaults Using the information above, you can use the same utility function to generate the OpenAPI schema and override each part that you need.
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docs/en/docs/tutorial/dependencies/sub-dependencies.md
query_extractor --> query_or_cookie_extractor --> read_query ``` ## Using the same dependency multiple times If one of your dependencies is declared multiple times for the same *path operation*, for example, multiple dependencies have a common sub-dependency, **FastAPI** will know to call that sub-dependency only once per request.
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docs/en/docs/tutorial/query-params.md
``` ...this would work: ```JSON { "item_id": "foo-item", "needy": "sooooneedy" } ``` And of course, you can define some parameters as required, some as having a default value, and some entirely optional: === "Python 3.10+" ```Python hl_lines="8" {!> ../../../docs_src/query_params/tutorial006_py310.py!} ``` === "Python 3.8+"
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docs/en/docs/tutorial/extra-data-types.md
* `str` * `bool` But you can also use more complex data types. And you will still have the same features as seen up to now: * Great editor support. * Data conversion from incoming requests. * Data conversion for response data. * Data validation. * Automatic annotation and documentation. ## Other data types Here are some of the additional data types you can use: * `UUID`:
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docs/distributed/DESIGN.md
return int(sip.Sum64() % uint64(cardinality)) } ``` Input for the key is the object name specified in `PutObject()`, returns a unique index. This index is one of the erasure sets where the object will reside. This function is a consistent hash for a given object name i.e for a given object name the index returned is always the same.
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docs/en/docs/tutorial/testing.md
``` ### Testing file Then you could have a file `test_main.py` with your tests. It could live on the same Python package (the same directory with a `__init__.py` file): ``` hl_lines="5" . ├── app │ ├── __init__.py │ ├── main.py │ └── test_main.py ``` Because this file is in the same package, you can use relative imports to import the object `app` from the `main` module (`main.py`): ```Python hl_lines="3"
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