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ci/official/utilities/code_check_full.bats
//tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py //tensorflow/lite/python:interpreter //tensorflow/lite/python:interpreter_test //tensorflow/lite/python:interpreter.py
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tensorflow/c/BUILD
"//tensorflow/core:portable_tensorflow_lib_lite", ], "//conditions:default": [ ":tf_tensor", "//tensorflow/c/experimental/stream_executor", "//tensorflow/c/experimental/stream_executor:stream_executor_internal", "//tensorflow/core:framework", "//tensorflow/core:framework_lite", "//tensorflow/core:protos_all_cc",
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tensorflow/c/eager/BUILD
], hdrs = ["c_api.h"], copts = tf_copts(), visibility = ["//visibility:public"], deps = select({ "//tensorflow:android": [ "//tensorflow/core:portable_tensorflow_lib_lite", ], "//conditions:default": [ ":immediate_execution_context", ":immediate_execution_distributed_manager", ":immediate_execution_operation",
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docs/en/docs/async.md
--- This would be the parallel equivalent story for burgers. π For a more "real life" example of this, imagine a bank. Up to recently, most of the banks had multiple cashiers π¨βπΌπ¨βπΌπ¨βπΌπ¨βπΌ and a big line ππππππππ. All of the cashiers doing all the work with one client after the other π¨βπΌβ―. And you have to wait π in the line for a long time or you lose your turn.
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docs/en/docs/tutorial/first-steps.md
<font color="#4E9A06">INFO</font>: Application startup complete. ``` </div> In the output, there's a line with something like: ```hl_lines="4" INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` That line shows the URL where your app is being served, in your local machine. ### Check it
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docs/en/docs/advanced/behind-a-proxy.md
// More stuff here } } ``` In this example, the "Proxy" could be something like **Traefik**. And the server would be something like FastAPI CLI with **Uvicorn**, running your FastAPI application. ### Providing the `root_path` To achieve this, you can use the command line option `--root-path` like: <div class="termy"> ```console $ fastapi run main.py --root-path /api/v1
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docs/en/docs/tutorial/bigger-applications.md
``` !!! tip There are several `__init__.py` files: one in each directory or subdirectory. This is what allows importing code from one file into another. For example, in `app/main.py` you could have a line like: ``` from app.routers import items ``` * The `app` directory contains everything. And it has an empty file `app/__init__.py`, so it is a "Python package" (a collection of "Python modules"): `app`.
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okhttp/src/main/kotlin/okhttp3/Cache.kt
* * Next is the response status line, followed by the number of HTTP response header lines, * followed by those lines. * * HTTPS responses also contain SSL session information. This begins with a blank line, and then * a line containing the cipher suite. Next is the length of the peer certificate chain. These * certificates are base64-encoded and appear each on their own line. The next line contains the
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docs/de/docs/tutorial/body-nested-models.md
``` === "Python 3.8+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial001.py!} ``` Das bewirkt, dass `tags` eine Liste ist, wenngleich es nichts ΓΌber den Typ der Elemente der Liste aussagt. ## Listen mit Typ-Parametern als Felder Aber Python erlaubt es, Listen mit inneren Typen, auch βTyp-Parameterβ genannt, zu deklarieren. ### `List` von `typing` importieren
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docs/en/docs/deployment/docker.md
This command will be run from the **current working directory**, the same `/code` directory you set above with `WORKDIR /code`. !!! tip Review what each line does by clicking each number bubble in the code. π You should now have a directory structure like: ``` . βββ app βΒ Β βββ __init__.py β βββ main.py
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