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okhttp/src/main/kotlin/okhttp3/internal/cache/CacheInterceptor.kt
.body(RealResponseBody(contentType, contentLength, cacheWritingSource.buffer())) .build() } companion object { /** Combines cached headers with a network headers as defined by RFC 7234, 4.3.4. */ private fun combine( cachedHeaders: Headers, networkHeaders: Headers, ): Headers { val result = Headers.Builder()
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ci/official/utilities/code_check_full.bats
bazel cquery --keep_going 'deps(//tensorflow/tools/pip_package:wheel)' | sort -u > $BATS_TEST_TMPDIR/pip_deps # Find all Python py_test targets not tagged "no_pip" or "manual", excluding # any targets in ignored packages. Combine this list of targets into a bazel # query list (e.g. the list becomes "target+target2+target3")
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docs/en/docs/deployment/https.md
But once you know the basic information of **HTTPS for developers** you can easily combine and configure different tools to help you manage everything in a simple way.
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docs/fr/docs/contributing.md
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
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LICENSE
facilities not covered by this License, and distribute such a combined library, provided that the separate distribution of the work based on the Library and of the other library facilities is otherwise permitted, and provided that you do these two things: a) Accompany the combined library with a copy of the same work based on the Library, uncombined with any other library
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docs/en/docs/tutorial/dependencies/dependencies-with-yield.md
When the `with` block finishes, it makes sure to close the file, even if there were exceptions. When you create a dependency with `yield`, **FastAPI** will internally create a context manager for it, and combine it with some other related tools. ### Using context managers in dependencies with `yield` !!! warning This is, more or less, an "advanced" idea.
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docs/en/docs/alternatives.md
It is the recommended server for Starlette and **FastAPI**. !!! check "**FastAPI** recommends it as" The main web server to run **FastAPI** applications. You can combine it with Gunicorn, to have an asynchronous multi-process server. Check more details in the [Deployment](deployment/index.md){.internal-link target=_blank} section. ## Benchmarks and speed
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LICENSE
Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU General Public License into a single combined work, and to convey the resulting work. The terms of this License will continue to apply to the part which is the covered work, but the work with which it is combined will remain governed by version 3 of the GNU General Public License.
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docs/en/docs/deployment/docker.md
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc. By using a pre-made container image it's very easy to **combine** and use different tools. For example, to try out a new database. In most cases, you can use the **official images**, and just configure them with environment variables.
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